Merge branch 'main' into add-depmap-omics-ccle

Author: pschmied

datasets/dmi-danra-05.yaml

@@ -0,0 +1,50 @@
+Name: Danish Meteorological Institute (DMI) Reanalysis dataset v0.5
+Description: DANRA is a high-resolution meteorological reanalysis dataset for Denmark and Northwestern Europe covering the period September 1990 to December 2023
+Documentation: https://dmidk.github.io/danradocs/intro.html
+Contact: https://www.dmi.dk/kontakt
+ManagedBy: "[Danish Meteorological Institute](https://www.dmi.dk/)"
+UpdateFrequency: Not updated
+Collabs:
+  ASDI:
+    Tags:
+      - climate
+      - weather
+Tags:
+  - aws-pds
+  - air temperature
+  - atmosphere
+  - geospatial
+  - global
+  - land
+  - meteorological
+  - near-surface air temperature
+  - near-surface relative humidity
+  - near-surface specific humidity
+  - model
+  - water
+  - weather
+  - zarr
+License: DMI Reanalysis dataset v0.5 is distributed under the [Creative Commons License CC BY 4.0](https://creativecommons.org/licenses/by/4.0/legalcode.en)
+Resources:
+  - Description: DMI Reanalysis dataset v0.5
+    ARN: arn:aws:s3:::dmi-danra-05
+    Region: eu-north-1
+    Type: S3 Bucket
+DataAtWork:
+  Tutorials:
+    - Title: Looking at distributions
+      URL: https://dmidk.github.io/danradocs/notebooks/distributions.html
+      NotebookURL: https://dmidk.github.io/danradocs/_sources/notebooks/distributions.ipynb
+      AuthorName: Danish Meteorological Institute
+      AuthorURL: https://www.dmi.dk/
+      Services:
+        - Amazon S3
+    - Title: DANRA figures
+      URL: https://dmidk.github.io/danradocs/notebooks/paper-figures.html
+      NotebookURL: https://dmidk.github.io/danradocs/_sources/notebooks/paper-figures.ipynb
+      AuthorName: Danish Meteorological Institute
+      AuthorURL: https://www.dmi.dk/
+      Services:
+        - Amazon S3
+ADXCategories:
+  - Environmental Data

datasets/fvcom_gom3.yaml

@@ -0,0 +1,28 @@
+Name: UMASSD-FVCOM-GOM3-Hindcast
+Description: The Finite Volume Community Ocean Model (FVCOM) was used to simulate ocean water levels, velocity, temperature and salinity over a multi-decadal period (1984-present) in the waters of the Northeast US including the Gulf of Maine.  The model was configured and run by the Dr. Changshen Chen, Director of the Marine Ecosystems Dynamics Modeling Laboratory in the School for Marine Science & Technology at the University of Massachusetts Dartmouth.  The triangular mesh has a varying horizontal resolution from several hundred meters inshore to several kilometers offshore, and 45 terrain-following vertical layers.  The model output was saved at hourly intervals from 2009-08-21 to 2022-06-17. 
+Documentation: https://en.wikipedia.org/wiki/Finite_Volume_Community_Ocean_Model
+Contact: [email protected]
+ManagedBy: Open Science Computing, LLC
+UpdateFrequency: None
+Citation: https://web.archive.org/web/20161229211546id_/http://fvcom.smast.umassd.edu/wp-content/uploads/2013/11/MITSG_12-25.pdf
+Tags:
+  - aws-pds
+  - oceans
+License: CC0
+Resources:
+  - Description: A collection of NetCDF files, kerchunk-generated Parquet reference files, and an Intake catalog
+    ARN: arn:aws:s3:::fvcom-gom3
+    Region: us-east-1
+    Type: S3 Bucket
+DataAtWork:
+  Tutorials:
+    - Title: FVCOM Explorer Notebook
+      URL: https://github.com/opensciencecomputing/fvcom
+      NotebookURL: https://github.com/opensciencecomputing/umassd-fvcom/blob/main/fvcom_gom3_explore.ipynb
+      AuthorName: Rich Signell
+      AuthorURL: https://about.me/rich.signell
+      Services:
+  Publications:
+    - Title: An Unstructured Grid, Finite Volume, Three Dimensional, Primitive Equations Ocean Model with Application to Coastal Ocean and Estuaries
+      URL: https://doi.org/10.1175/1520-0426(2003)020%3C0159:AUGFVT%3E2.0.CO;2
+      AuthorName: Changsheng Chen, Hedong Liu, and Robert C. Beardsley

datasets/noaa-wod.yaml

@@ -3,8 +3,8 @@ Description: >
   The World Ocean Database (WOD) is the largest uniformly formatted, quality-controlled, publicly available historical subsurface ocean profile database. From Captain Cook's second voyage in 1772 to today's automated Argo floats, global aggregation of ocean variable information including temperature, salinity, oxygen, nutrients, and others vs. depth allow for study and understanding of the changing physical, chemical, and to some extent biological state of the World's Oceans. Browse the bucket via the AWS S3 explorer: https://noaa-wod-pds.s3.amazonaws.com/index.html
 Documentation: https://www.nodc.noaa.gov/OC5/WOD/pr_wod.html
 Contact: |
-  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Big Data Program, email noaa.bdp@noaa.gov.
-  <br /> We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NOAA BDP team here: noaa.bdp@noaa.gov
+  For any questions regarding data delivery not associated with this platform or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov.
+  We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov
 ManagedBy: "[NOAA](http://www.noaa.gov/)"
 UpdateFrequency: Data is update on a quarterly basis
 Collabs:
@@ -34,3 +34,4 @@ DataAtWork:
     - Title: The World Ocean Database User's Manual
       URL: https://data.nodc.noaa.gov/woa/WOD/DOC/wodreadme.pdf
       AuthorName: Hernan E. Garcia, Tim P. Boyer, Ricardo A. Locarnini, Olga K. Baranova, Melissa M. Zweng
+