Merge branch 'main' into ctrees-add-amazonia-tree-height

Author: cstner

datasets/allen-sea-ad-atlas.yaml

@@ -30,18 +30,30 @@ Resources:
     Type: S3 Bucket
     Explore:
     - '[Browse Bucket](https://sea-ad-single-cell-profiling.s3.amazonaws.com/index.html)'
+  - Description: "Update notifications for s3://sea-ad-single-cell-profiling. Users can subscribe to this SNS topic with [AWS Lambda](https://aws.amazon.com/lambda/) or [AWS Simple Queue Service](https://aws.amazon.com/sqs/)."
+    ARN: arn:aws:sns:us-west-2:208217671510:sea-ad-single-cell-profiling-object_created
+    Region: us-west-2
+    Type: SNS Topic
   - Description: Quantitative neuropathology (full resolution images, processed images, and quantifications) in a public bucket
     ARN: arn:aws:s3:::sea-ad-quantitative-neuropathology
     Region: us-west-2
     Type: S3 Bucket
     Explore:
     - '[Browse Bucket](https://sea-ad-quantitative-neuropathology.s3.amazonaws.com/index.html)'
+  - Description: "Update notifications for s3://sea-ad-quantitative-neuropathology. Users can subscribe to this SNS topic with [AWS Lambda](https://aws.amazon.com/lambda/) or [AWS Simple Queue Service](https://aws.amazon.com/sqs/)."
+    ARN: arn:aws:sns:us-west-2:208217671510:sea-ad-quantitative-neuropathology-object_created
+    Region: us-west-2
+    Type: SNS Topic
   - Description: Spatial transcriptomics data files in a public bucket
     ARN: arn:aws:s3:::sea-ad-spatial-transcriptomics
     Region: us-west-2
     Type: S3 Bucket
     Explore:
     - '[Browse Bucket](https://sea-ad-spatial-transcriptomics.s3.amazonaws.com/index.html)'
+  - Description: "Update notifications for s3://sea-ad-spatial-transcriptomics. Users can subscribe to this SNS topic with [AWS Lambda](https://aws.amazon.com/lambda/) or [AWS Simple Queue Service](https://aws.amazon.com/sqs/)."
+    ARN: arn:aws:sns:us-west-2:208217671510:sea-ad-spatial-transcriptomics-object_created
+    Region: us-west-2
+    Type: SNS Topic
 DataAtWork:
   Tools & Applications:
     - Title: Seattle Alzheimer’s Disease Brain Cell Atlas

datasets/blue_et.yaml

@@ -0,0 +1,33 @@
+Name: IWMI DIWASA Blue ET for Africa
+Description: Blue evapotranspiration (Blue ET) is the portion of ET derived from blue water sources, including surface water (rivers, lakes, reservoirs) and groundwater used for irrigation. It is a key component of blue water fluxes in water accounting. Blue ET consists of evaporation from irrigated fields, transpiration from irrigated crops, and water lost from artificial storage. It helps assess water productivity in irrigated agriculture, quantify consumptive water use, and support sustainable water resource management, particularly in water-scarce regions.
+Documentation: https://iwmi.africageoportal.com/pages/continent-africa
+Contact: [email protected]
+ManagedBy: "[IWMI](https://www.iwmi.org/)"
+UpdateFrequency: None
+Tags:
+  - aws-pds
+  - surface water
+  - irrigated cropland
+  - ground water
+  - evapotranspiration
+  - water
+License: "Creative Commons open license"
+Resources:
+  - Description: Monthly Blue ET for Africa
+    ARN: arn:aws:s3:::iwmi-datasets/Water_accounting_plus/Africa/Incremental_ET_M/
+    Region: af-south-1
+    Type: S3 Bucket
+    Explore:
+    - '[Browse Bucket](https://iwmi-datasets.s3.af-south-1.amazonaws.com/Cropland_partition/index.html)'
+
+DataAtWork:
+  Tutorials:
+    - Title: Analysis of IWMI’s Water Data Products through Digital Earth Africa 
+      URL: https://learn.digitalearthafrica.org/courses/course-v1:IWMI+DIWASA1+2024_10/about
+      AuthorName: A.T. Haile, E.T. Negash, K. Mubea, M. Tadesse
+      AuthorURL: https://github.com/iwmiwaplus
+  Tools & Applications:
+    - Title: Multi-Scale Water Accounting in the Volta Basin
+      URL: https://public.tableau.com/app/profile/iwmi.wa/viz/Voltabasinvertical/Merged?publish=yes
+      AuthorName: iwmiwaplus
+      AuthorURL: https://public.tableau.com/app/profile/iwmi.wa

datasets/brazil-data-cubes.yaml

@@ -4,6 +4,7 @@ Documentation: http://brazildatacube.org/en/home-page-2/
 Contact: [email protected]
 ManagedBy: "[INPE - Brazil Data Cube](http://brazildatacube.org/)"
 UpdateFrequency: New EO data cubes are added as soon as there are produced by the Brazil Data Cube project.
+DeprecatedNotice: This dataset is deprecated and will be removed from AWS Open Data in the near future. If you have any questions or require assistance, please contact us at [[email protected]].
 Tags:
   - earth observation
   - satellite imagery
@@ -71,4 +72,4 @@ DataAtWork:
       AuthorName: K. R. Ferreira, et al.
     - Title: Building Earth Observation Data Cubes on AWS
       URL: https://www.proquest.com/openview/070d2a753cc88d26535c98293171a5ac/1?
-      AuthorName: Ferreira, K R; Queiroz, G R; Marujo, R F B; Costa, R W.  
+      AuthorName: Ferreira, K R; Queiroz, G R; Marujo, R F B; Costa, R W. 

datasets/broad-references.yaml

@@ -30,10 +30,6 @@ DataAtWork:
       - AWS Batch
       - Amazon FSx
   Tools & Applications:
-    - Title: Genomics Workflows on AWS - Cromwell on AWS
-      URL: https://docs.opendata.aws/genomics-workflows/orchestration/cromwell/cromwell-examples/#real-world-example-haplotypecaller
-      AuthorName: W. Lee Pang
-      AuthorURL: https://www.linkedin.com/in/lee-pang-a039a26/
   Publications:
     - Title: Advancing NGS quality control to enable measurement of actionable mutations in circulating tumor DNA
       URL: https://www.cell.com/cell-reports-methods/pdf/S2667-2375(21)00165-X.pdf

datasets/colorado-imagery.yaml

@@ -0,0 +1,30 @@
+Name: State of Colorado Imagery
+Description: The State of Colorado has gathered public historical imagery ranging from 2005 to 2021.
+Documentation: https://docs.google.com/document/d/1YDHignUj9lQTMw2J-SqA96MTP8KmJYtk2ZKKC2ZYuPE/edit?usp=sharing
+Contact: [email protected]
+ManagedBy: State of Colorado Governor's Office of Information Technology (OIT) GIS team
+UpdateFrequency: Periodically
+Tags:
+  - aws-pds
+  - aerial imagery
+  - geospatial
+  - imaging
+  - mapping 
+License: https://creativecommons.org/publicdomain/zero/1.0/legalcode
+Resources:
+  - Description: The State of Colorado historic public aerial imagery. Currently, NAIP is available from 2005 and 2009-2021. The National Agriculture Imagery Program is a project managed by the U.S. Department of Agriculture created to collect leaf-on imagery for the United States during peak growing seasons. The files are available as GeoTIFFs. From 2005-2017 they have a one meter resolution. After that, it is a 60cm resolution.
+    Region: us-east-1
+    Type: S3 Bucket
+DataAtWork:
+  Tutorials:
+    - Title: Colorado AWS Open Imagery Guide
+      URL: https://docs.google.com/document/d/15GjCSWSzst82FZMqBqdGV0rt6FKJzt03NlQYdWwsLGE/edit?usp=sharing
+      AuthorName: State of Colorado OIT-GIS
+      AuthorURL: https://geodata.colorado.gov/
+  Tools & Applications:
+    - Title: Colorado Public Imagery Dowloader
+      URL: https://gis.colorado.gov/imagery/
+      AuthorName: State of Colorado OIT-GIS
+      AuthorURL: https://geodata.colorado.gov/
+ADXCategories:
+  - Public Sector Data

datasets/gatk-test-data.yaml

@@ -23,8 +23,4 @@ Resources:
 DataAtWork:
   Tutorials:
   Tools & Applications:
-    - Title: Genomics Workflows on AWS - Cromwell on AWS
-      URL: https://docs.opendata.aws/genomics-workflows/orchestration/cromwell/cromwell-examples/#real-world-example-haplotypecaller
-      AuthorName: W. Lee Pang
-      AuthorURL: https://www.linkedin.com/in/lee-pang-a039a26/
   Publications:

datasets/green_et.yaml

@@ -0,0 +1,32 @@
+Name: IWMI DIWASA Green ET for Africa
+Description: Green evapotranspiration (Green ET) is the portion of ET derived from green water, which includes soil moisture and rainfall used by vegetation. It represents a key component of green water fluxes in water accounting. Green ET consists of evaporation from soil moisture in non-irrigated areas, transpiration from rainfed crops and natural vegetation, and interception losses from precipitation on vegetation. It plays a crucial role in rainfed agriculture, drought monitoring, and sustainable water management by tracking how rainfall supports plant growth.
+Documentation: https://iwmi.africageoportal.com/pages/continent-africa
+Contact: [email protected]
+ManagedBy: "[IWMI](https://www.iwmi.org/)"
+UpdateFrequency: None
+Tags:
+  - soil moisture
+  - rainfed cropland
+  - interception loss
+  - evapotranspiration
+  - water
+License: "Creative commons open license"
+Resources:
+  - Description: Monthly Green ET for Africa
+    ARN: arn:aws:s3:::iwmi-datasets/Water_accounting_plus/Africa/Rainfall_ET_M/
+    Region: af-south-1
+    Type: S3 Bucket
+    Explore:
+    - '[Browse Bucket](https://iwmi-datasets.s3.af-south-1.amazonaws.com/Cropland_partition/index.html)'
+
+DataAtWork:
+  Tutorials:
+    - Title: Analysis of IWMI’s Water Data Products through Digital Earth Africa 
+      URL: https://learn.digitalearthafrica.org/courses/course-v1:IWMI+DIWASA1+2024_10/about
+      AuthorName: A.T. Haile, E.T. Negash, K. Mubea, M. Tadesse
+      AuthorURL: https://github.com/iwmiwaplus
+  Tools & Applications:
+    - Title: Multi-Scale Water Accounting in the Volta Basin
+      URL: https://public.tableau.com/app/profile/iwmi.wa/viz/Voltabasinvertical/Merged?publish=yes
+      AuthorName: iwmiwaplus
+      AuthorURL: https://public.tableau.com/app/profile/iwmi.wa

datasets/open-ceda.yaml

@@ -0,0 +1,59 @@
+Name: Open CEDA by Watershed
+Description: |
+  CEDA is a multi-regional Environmentally-Extended Input-Output (EEIO) model developed to support a wide range of environmental systems analyses—including corporate carbon accounting and sustainable spend analysis. CEDA provides unparalleled global coverage and granularity, representing 95% of the world's GDP across 148 countries and 400 sectors, enabling robust and geographically comprehensive Scope 3 greenhouse gas (GHG) measurement. 
+  Open CEDA is the publicly avaialable version of CEDA, now easy to download and available for free for all use cases. For more information please visit our website at openceda.org
+  CEDA 2024, the latest version of CEDA, uses 2022 as its base year, ensuring that emissions factors and economic data reflect the most recent global economic landscape available. To maintain accuracy and relevance, CEDA is updated annually with the latest data releases.
+  At its core, CEDA connects economic exchanges to GHG emissions by quantifying the life-cycle emissions of products and services. This is achieved through the integration of input-output tables, which represent the full supply-chain network of the global economy, with GHG emissions data. As a result, CEDA provides users with a powerful tool to assess the environmental impacts embedded in corporate value chains.
+Documentation: https://openceda.org/
+Contact: [email protected]
+ManagedBy: "[Watershed Technology](https://watershed.com)"
+UpdateFrequency: Annual
+Collabs:
+  ASDI:
+    Tags:
+      - sustainability
+Tags:
+  - aws-pds
+  - climate
+  - carbon
+  - scope 3
+  - supply chain
+  - spend-based models
+  - EEIO
+License: Creative Commons CC BY-SA
+Resources:
+  - Description: An .xlsx file containing the Open CEDA dataset
+    ARN: arn:aws:s3:::open-ceda
+    Region: us-west-2
+    Type: S3 Bucket
+    Explore:
+      - "[Open CEDA](https://open-ceda.s3.amazonaws.com/index.html)"
+DataAtWork:
+  Tutorials:
+    - Title: For a tutoral please download the CEDA Methodology Documentation on the openceda.org website.
+      URL: https://openceda.org/
+      AuthorName: Watershed Technology
+  Publications:
+    - Title: Converting University Spending to Greenhouse Gas Emissions - A Supply Chain Carbon Footprint Analysis of UC Berkeley
+      URL: https://nature.berkeley.edu/classes/es196/projects/2012final/DoyleK_2012.pdf
+      AuthorName: Kelley L. Doyle, 2012
+    - Title: A Consumption-Based Greenhouse Gas Inventory of SanFrancisco Bay Area Neighborhoods, Cities and Counties
+      URL: https://escholarship.org/content/qt2sn7m83z/qt2sn7m83z.pdf
+      AuthorName: Christopher M. Jones &  Daniel M. Kammen, 2015
+    - Title: Are services better for climate change?
+      URL: https://pubs.acs.org/doi/10.1021/es0609351
+      AuthorName: Sangwon, Suh, 2006
+    - Title: Advancing Sustainable Materials Management - 2016 Recycling Economic Information (REI) Report
+      URL: https://www.epa.gov/sites/default/files/2016-11/documents/final_2016_rei_report.pdf
+      AuthorName: EPA, 2016
+    - Title: Greening Government Procurement - Turning Uncle Sam Into an Eco-Friendly Consumer
+      URL: https://psmag.com/environment/greening-government-procurement-turning-uncle-sam-eco-friendly-consumer-78592/
+      AuthorName: James Badham, 2014
+    - Title: Environmental Impacts of Products - Policy Relevant Information and Data Challenges
+      URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC34107
+      AuthorName: Eder P, Tukker A, Suh S
+    - Title: Environmentally extended input-output tables and models for Europe
+      URL: https://www.eurogypsum.org/wp-content/uploads/2015/05/N0533.pdf
+      AuthorName: Arnold Tukker (TNO), Gjalt Huppes, Lauran van Oers, Reinout Heijungs (CML), 2006
+ADXCategories:
+  - Environmental Data

datasets/rsna-screening-mammography-breast-cancer-detection.yaml

@@ -17,7 +17,7 @@ Tags:
   - breast cancer
   - cancer
   - life sciences
-License: "You may access and use these de-identified imaging datasets and annotations (“the data”) for non-commercial purposes only, including academic research and education, as long as you agree to abide by the following provisions: Not to make any attempt to identify or contact any individual(s) who may be the subjects of the data. If you share or re-distribute the data in any form, include a citation to the “Brain CT Hemorrhage Dataset, Copyright RSNA, 2019” as follows: Flanders AF, et al. The RSNA Brain CT Hemorrhage Dataset [10.1148/ryai.2020190211]. Radiology: Artificial Intelligence 2020;2:3."
+License: "You may access and use these de-identified imaging datasets and annotations (“the data”) for non-commercial purposes only, including academic research and education, as long as you agree to abide by the following provisions: Not to make any attempt to identify or contact any individual(s) who may be the subjects of the data. If you share or re-distribute the data in any form, include a citation to the “Radiological Society of North America Screening Mammography Breast Cancer Detection (RSNA-SMBC) Dataset, November 2022” [https://doi.org/10.1148/dataset.smbc.2024]."
 Resources:
   - Description: Zip archive containing DCM and CSV files
     ARN: arn:aws:s3:::screening-mammography-breast

tags.yaml

@@ -52,6 +52,7 @@
 - Caenorhabditis elegans
 - calcium imaging
 - cancer
+- carbon
 - cell biology
 - cell imaging
 - cell painting
@@ -100,7 +101,7 @@
 - cultural preservation
 - culture
 - cyber security
-- cyclone/typhoon/hurricane
+- cyclone typhoon hurricane
 - czi
 - Danio rerio
 - data assimilation
@@ -131,6 +132,7 @@
 - economics
 - ecosystems
 - education
+- EEIO
 - electricity
 - electron microscopy
 - electron tomography
@@ -146,6 +148,7 @@
 - ethereum
 - ethnicity
 - Eulerian
+- evapotranspiration
 - event camera
 - events
 - exploration
@@ -191,6 +194,7 @@
 - grand-challenge.org
 - graph
 - green aviation
+- ground water
 - group quarters
 - h5
 - hazard
@@ -222,6 +226,7 @@
 - information retrieval
 - infrastructure
 - internet
+- interception loss
 - intrusion detection
 - ion channels
 - irrigated cropland
@@ -363,6 +368,7 @@
 - satellite imagery
 - scholarly communication
 - schools
+- scope 3
 - seafloor
 - segmentation
 - seismology
@@ -377,6 +383,7 @@
 - single-cell transcriptomics
 - social media
 - socioeconomic
+- soil moisture
 - solar
 - source code
 - space biology
@@ -386,6 +393,7 @@
 - speech processing
 - speech recognition
 - speech synthesis
+- spend-based models
 - sports
 - sqlite
 - stac
@@ -395,6 +403,8 @@
 - structural birth defect
 - structural variation
 - subtitles
+- supply chain
+- surface water
 - survey
 - sustainability
 - synthetic aperture radar