Updated datasets 2024-05-31 UTC

opengeos · May 31, 2024 · b98e1a9 · b98e1a9
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diff --git a/aws_open_datasets.json b/aws_open_datasets.json
@@ -10455,7 +10455,7 @@
         "Region": "us-west-2",
         "Type": "S3 Bucket",
         "Documentation": "https://datacommons.morrisanimalfoundation.org/artisanal_dataset/151",
-        "Contact": "gknaddison@morrisanimalfoundation.org",
+        "Contact": "datacommons@morrisanimalfoundation.org",
         "ManagedBy": "[Morris Animal Foundation](https://www.morrisanimalfoundation.org/)",
         "UpdateFrequency": "Static",
         "License": "CC-BY-SA",

diff --git a/aws_open_datasets.tsv b/aws_open_datasets.tsv
@@ -374,7 +374,7 @@ Global Database of Events, Language and Tone (GDELT)	Notifications for new data
 Global Database of Events, Language and Tone (GDELT)	Project data files	arn:aws:s3:::gdelt-open-data	us-east-1	S3 Bucket	http://www.gdeltproject.org/	http://www.gdeltproject.org/about.html#contact	Unmanaged	Not currently being updated	http://www.gdeltproject.org/about.html#termsofuse	aws-pds, events, disaster response					
 Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set	Global mosaics at 001 degree pixel spacing as cloud optimized GeoTIFFs in a S3	arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/mosaics	us-west-2	S3 Bucket	http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.c	For questions regarding data methodology or delivery, contact info@earthbigdata.	[Earth Big Data LLC](https://earthbigdata.com/)	The data set covers the time period from 1-Dec-2019 to 30-Nov-2020. No updates a	The use of these data fall under the terms and conditions of the [Creative Commo	global, satellite imagery, ecosystems, agriculture, urban, infrastructure, earth observation, earthquakes, environmental, geology, geophysics, geospatial, mapping, natural resource, cog, synthetic aperture radar, aws-pds					
 Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set	1x1 degree tiled data and metadata in a S3 bucket, Global VRT mosaics (vrt	arn:aws:s3:::sentinel-1-global-coherence-earthbigdata/data/tiles	us-west-2	S3 Bucket	http://sentinel-1-global-coherence-earthbigdata.s3-website-us-west-2.amazonaws.c	For questions regarding data methodology or delivery, contact info@earthbigdata.	[Earth Big Data LLC](https://earthbigdata.com/)	The data set covers the time period from 1-Dec-2019 to 30-Nov-2020. No updates a	The use of these data fall under the terms and conditions of the [Creative Commo	global, satellite imagery, ecosystems, agriculture, urban, infrastructure, earth observation, earthquakes, environmental, geology, geophysics, geospatial, mapping, natural resource, cog, synthetic aperture radar, aws-pds					
-Golden Retriever Lifetime Study: Whole genome genotyping of Golden Retrievers on Axiom HD Arrays	Two zip files containing genotyping data from Axiom Array sets A and B, as well	arn:aws:s3:::mafgrlsgenome	us-west-2	S3 Bucket	https://datacommons.morrisanimalfoundation.org/artisanal_dataset/151	gknaddison@morrisanimalfoundation.org	[Morris Animal Foundation](https://www.morrisanimalfoundation.org/)	Static	CC-BY-SA	aws-pds, genome, genotyping, golden retriever lifetime study, morris animal foundation		False			
+Golden Retriever Lifetime Study: Whole genome genotyping of Golden Retrievers on Axiom HD Arrays	Two zip files containing genotyping data from Axiom Array sets A and B, as well	arn:aws:s3:::mafgrlsgenome	us-west-2	S3 Bucket	https://datacommons.morrisanimalfoundation.org/artisanal_dataset/151	datacommons@morrisanimalfoundation.org	[Morris Animal Foundation](https://www.morrisanimalfoundation.org/)	Static	CC-BY-SA	aws-pds, genome, genotyping, golden retriever lifetime study, morris animal foundation		False			
 Google Books Ngrams	A data set containing Google Books n-gram corpora in a Hadoop friendly file form	arn:aws:s3:::datasets.elasticmapreduce/ngrams/books/	us-east-1	S3 Bucket	http://books.google.com/ngrams/	https://books.google.com/ngrams	Not managed	Not updated	Creative Commons Attribution 3.0 Unported License	amazon.science, natural language processing					
 Google Brain Genomics Sequencing Dataset for Benchmarking and Development	FASTQ files for nine human samples comprising three parent-child trios at 40X 30	arn:aws:s3:::genomics-benchmark-datasets/google-brain	us-east-1	S3 Bucket	https://genomics-benchmark-datasets.s3.amazonaws.com/README.txt	[email protected]	Amazon Web Services	Occasionally as new derived files (alignment files or variant call files) are ge	[CC0 1.0](https://creativecommons.org/publicdomain/zero/1.0/)	amazon.science, bioinformatics, life sciences, genetic, genomic, fastq, short read sequencing, long read sequencing, whole exome sequencing, whole genome sequencing					
 Grid Algorithms and Data Analytics Library (GADAL)	Sample IEEE123 Bus system for OEDI SI	arn:aws:s3:::gadal/gadal_ieee123/	us-west-2	S3 Bucket	https://github.com/openEDI/GADAL	https://github.com/openEDI/GADAL/issues	[National Renewable Energy Laboratory](https://www.nrel.gov/)	As needed	Creative Commons Attribution 3.0 United States License	aws-pds, energy, environmental, sustainability, model	['[Browse Dataset](https://data.openei.org/s3_viewer?bucket=gadal&prefix=gadal_ieee123%2F)']				

diff --git a/datasets/maf-genome.yaml b/datasets/maf-genome.yaml
@@ -2,7 +2,7 @@ Name: "Golden Retriever Lifetime Study: Whole genome genotyping of Golden Retrie
 Description:  |
   Morris Animal Foundation’s Golden Retriever Lifetime Study is a longitudinal, prospective study following 3044 golden retrievers. The Study’s purpose is to identify the nutritional, environmental, lifestyle and genetic risk factors for cancer and other diseases. The Golden Oldie’s study enrolled an additional cohort of golden retrievers that had reached the age of 12 years or older and had not yet been diagnosed with a malignant cancer. This population can be used as a control group for conditions with high mortality in younger age. This dataset contains the data for ~1.1 million genetic markers from 3224 unique individual dogs processed using Axiom Canine Genotyping Array Sets A and B. Of the 3244 individual samples, 3024 were from the Golden Retriever Lifetime Study cohort and 200 from the Golden Oldies cohort. 
 Documentation: https://datacommons.morrisanimalfoundation.org/artisanal_dataset/151
-Contact: gknaddison@morrisanimalfoundation.org  
+Contact: datacommons@morrisanimalfoundation.org  
 ManagedBy: "[Morris Animal Foundation](https://www.morrisanimalfoundation.org/)"
 UpdateFrequency: Static
 Tags:
@@ -25,8 +25,8 @@ DataAtWork:
       AuthorName: Tamer Mansour
    Publications: 
      - Title: "Cohort profile: The Golden Retriever Lifetime Study (GRLS)"
-       URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581032/
-       AuthorName: Michael K. Guy, Rodney L. Page, Wayne A. Jensen, Patricia N. Olson, J. David Haworth, Erin E. Searfoss, and Diane E. Brown
-     - Title: "The Golden Retriever Lifetime Study: establishing an observational cohort study with translational relevance for human health"
        URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0269425
        AuthorName: Julia Labadie, Brenna Swafford, Mara DePena, Kathy Tietje, Rodney Page, Janet Patterson-Kane
+     - Title: "The Golden Retriever Lifetime Study: establishing an observational cohort study with translational relevance for human health"
+       URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4581032/
+       AuthorName: Michael K. Guy, Rodney L. Page, Wayne A. Jensen, Patricia N. Olson, J. David Haworth, Erin E. Searfoss, and Diane E. Brown
diff --git a/datasets/noaa-gfs-bdp-pds.yaml b/datasets/noaa-gfs-bdp-pds.yaml
@@ -79,3 +79,9 @@ DataAtWork:
     - Title: GFS Warm Restart Files Additional Information
       URL: https://noaa-gfs-warmstart-pds.s3.amazonaws.com/GFS+Warm+Restart+Files.v1.pdf
       AuthorName: Fanglin Yang
+    - Title: "Toward the Next Generation of Microwave Sounders: Benefits of a Low-Earth Orbit Hyperspectral Microwave Instrument in All- Weather Conditions using AI"
+      URL: https://doi.org/10.1109/JSTARS.2024.3356858
+      AuthorName: Eric S. Maddy
+    - Title: "Validation and Application of the Accu-Waves Operational Platform for Wave Forecasts at Ports"
+      URL: https://www.mdpi.com/2077-1312/12/2/220/pdf
+      AuthorName: Christos Makris et al.
diff --git a/datasets/noaa-nos-stofs3d.yaml b/datasets/noaa-nos-stofs3d.yaml
@@ -1,7 +1,7 @@
 Name: NOAA 3-D Surge and Tide Operational Forecast System for the Atlantic Basin (STOFS-3D-Atlantic)
 Description: |
 
- NOTICE - The Coast Survey Development Laboratory (CSDL) in NOAA/National Ocean Service (NOS)/Office of Coast Survey is upgrading the Surge and Tide Operational Forecast System (STOFS, formerly ESTOFS) to Version 2.1.7. A Service Change Notice (SCN) has been issued and can be found "[HERE](https://www.weather.gov/media/notification/pdf_2023_24/scn23-124_stofs_upgrade_v2.1.4_aaf.pdf)"<br /><br />
+ NOTICE - The Coast Survey Development Laboratory (CSDL) in NOAA/National Ocean Service (NOS)/Office of Coast Survey is upgrading the Surge and Tide Operational Forecast System (STOFS, formerly ESTOFS) to Version 2.1. A Service Change Notice (SCN) has been issued and can be found "[HERE](https://www.weather.gov/media/notification/pdf_2023_24/scn23-124_stofs_upgrade_v2.1.4_aaf.pdf)"<br /><br />
 
   NOAA's Surge and Tide Operational Forecast System: Three-Dimensional Component for the Atlantic Basin (STOFS-3D-Atlantic). STOFS-3D-Atlantic runs daily (at 12 UTC)  to provide users with 24-hour nowcasts (analyses of near present conditions) and up to 96-hour forecast guidance of water level conditions, and 2- and 3-dimensional fields of water temperature, salinity, and currents. The water level outputs represent the combined tidal and subtidal water surface elevations and are referenced to xGEOID20B <br /><br />
   STOFS-3D-Atlantic has been developed to serve the marine navigation, weather forecasting, and disaster mitigation user communities. It is developed in a collaborative effort between the NOAA/National Ocean Service (NOS)/Office of Coast Survey, the NOAA/National Weather Service (NWS)/National Centers for Environmental Prediction (NCEP) Central Operations (NCO), and the Virginia Institute of Marine Science. <br /><br />