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aws_geo_datasets.json
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aws_geo_datasets.json
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[
{
"Name": "(EXPERIMENTAL) NOAA GraphCast Global Forecast System (GFS) (EXPERIMENTAL) - GraphCast GFS data",
"Description": "GraphCast GFS data",
"ARN": "arn:aws:s3:::noaa-nws-graphcastgfs-pds",
"Region": "us-east-1",
"Type": "S3 Bucket",
"Documentation": "For the NOAA Product, https://graphcastgfs.readthedocs.io/en/latest/index.html and for background graphcast information, https://github.com/google-deepmind/graphcast/tree/main/graphcast",
"Contact": "For questions regarding data content or quality, visit [the NOAA EMC Github site](https://github.com/noaa-emc/graphcast/issues). For any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@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 NODD team by emailing nodd@noaa.gov",
"ManagedBy": "[NOAA](http://www.noaa.gov/)",
"UpdateFrequency": "4 times a day at 00Z, 06Z, 12Z and 18Z",
"License": "NOAA's GraphCast GFS products are released under CC0 license. The products in this bucket only contain NOAA produced products and not GraphCast code or training data. For information on the GraphCast code package, please visit the \"[Google DeepMind GraphCast Github License page](https://github.com/google-deepmind/graphcast?tab=readme-ov-file#license-and-attribution).\" The **weights** that are used in GraphCastGFS v2 were generated based on the pre-trained weights from GoogleDeepMind. They are released under CC BY-NC-SA 4.0 license.",
"Tags": [
"aws-pds",
"agriculture",
"climate",
"disaster response",
"environmental",
"meteorological",
"weather"
],
"RequesterPays": null,
"Explore": [
"[Browse Bucket](https://noaa-nws-graphcastgfs-pds.s3.amazonaws.com/index.html)"
],
"Host": null,
"AccountRequired": null
},
{
"Name": "(EXPERIMENTAL) NOAA GraphCast Global Forecast System (GFS) (EXPERIMENTAL) - New data notifications for GraphCast GFS, only Lambda and SQS protocols allowed",
"Description": "New data notifications for GraphCast GFS, only Lambda and SQS protocols allowed",
"ARN": "arn:aws:sns:us-east-1:709902155096:NewNWSGRAPHCASTGFSObject",
"Region": "us-east-1",
"Type": "SNS Topic",
"Documentation": "For the NOAA Product, https://graphcastgfs.readthedocs.io/en/latest/index.html and for background graphcast information, https://github.com/google-deepmind/graphcast/tree/main/graphcast",
"Contact": "For questions regarding data content or quality, visit [the NOAA EMC Github site](https://github.com/noaa-emc/graphcast/issues). For any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@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 NODD team by emailing nodd@noaa.gov",
"ManagedBy": "[NOAA](http://www.noaa.gov/)",
"UpdateFrequency": "4 times a day at 00Z, 06Z, 12Z and 18Z",
"License": "NOAA's GraphCast GFS products are released under CC0 license. The products in this bucket only contain NOAA produced products and not GraphCast code or training data. For information on the GraphCast code package, please visit the \"[Google DeepMind GraphCast Github License page](https://github.com/google-deepmind/graphcast?tab=readme-ov-file#license-and-attribution).\" The **weights** that are used in GraphCastGFS v2 were generated based on the pre-trained weights from GoogleDeepMind. They are released under CC BY-NC-SA 4.0 license.",
"Tags": [
"aws-pds",
"agriculture",
"climate",
"disaster response",
"environmental",
"meteorological",
"weather"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "10m Annual Land Use Land Cover (9-class)",
"Description": "10m Annual Land Use Land Cover (9-class)",
"ARN": "arn:aws:s3:::io-10m-annual-lulc",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://www.impactobservatory.com/global_maps",
"Contact": "hello@impactobservatory.com",
"ManagedBy": "[Impact Observatory](https://www.impactobservatory.com/)",
"UpdateFrequency": "A new year is made available annually, each January. A new time series was provided July 2023 to reduce anomalous change.",
"License": "[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)",
"Tags": [
"aws-pds",
"earth observation",
"environmental",
"geospatial",
"satellite imagery",
"sustainability",
"stac",
"cog",
"land cover",
"land use",
"machine learning",
"mapping",
"planetary"
],
"RequesterPays": null,
"Explore": [
"[STAC 1.0.0 endpoint](https://api.impactobservatory.com/stac-aws/collections/io-10m-annual-lulc/items)"
],
"Host": null,
"AccountRequired": null
},
{
"Name": "2021 Amazon Last Mile Routing Research Challenge Dataset",
"Description": "Dataset including training and testing data Folder almrrc2021_data_training includes 6,112 historical routes used for model traning; folder almrrc2021_data_evaluation includes 3072 historical routes used for model evaluation All routes correspond to year 2018 Please refer to the Tranportation Science article (https://pubsonlineinformsorg/doi/101287/trsc20221173) for a comprehensive description of the dataset, and to this documentation page (https://githubcom/MIT-CAVE/rc-cli/blob/main/templates/data_structuresmd) for details on data structure and format",
"ARN": "arn:aws:s3:::amazon-last-mile-challenges",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/MIT-CAVE/rc-cli/blob/main/templates/data_structures.md",
"Contact": "lastmile-research-challenge@amazon.com",
"ManagedBy": "[Amazon](https://www.amazon.com/)",
"UpdateFrequency": "None",
"License": "Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. The material for the Amazon Last Mile Routing Research Challenge is provided under a Creative Commons Attribution-NonCommercial 4.0 International Public License (the \u201cLicense\u201d). You may not use this material except in compliance with the License. You may obtain a copy of the License at: https://creativecommons.org/licenses/by-nc/4.0/legalcode.txt",
"Tags": [
"transportation",
"machine learning",
"deep learning",
"amazon.science",
"urban",
"analytics",
"geospatial",
"logistics",
"last mile",
"optimization",
"routing"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "3-Band Cryo Data | Wide-field Infrared Survey Explorer (WISE)",
"Description": "3-Band Cryo Single-exposure Image Sets: 392,879 calibrated 1024x1024 pix @275\"/pix FITS image sets for the individual 77 sec (W1 and W2) and 88/44/22/11 sec (W3) WISE survey exposures Each image set consists of three intensity images, noise maps, and bit-masks indicating pixel use status, one each for the W1, W2 and W3 WISE bands",
"ARN": "arn:aws:s3:::nasa-irsa-wise/wise/cryo-3band",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://irsa.ipac.caltech.edu/Missions/wise.html",
"Contact": "https://irsa.ipac.caltech.edu/docs/help_desk.html",
"ManagedBy": "NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Caltech",
"UpdateFrequency": "The WISE 3-Band Cryo Data Release has been finalized and will not be updated.",
"License": "https://irsa.ipac.caltech.edu/data_use_terms.html",
"Tags": [
"aws-pds",
"astronomy",
"imaging",
"satellite imagery",
"survey"
],
"RequesterPays": false,
"Explore": null,
"Host": null,
"AccountRequired": false
},
{
"Name": "A region-wide, multi-year set of crop field boundary labels for Africa",
"Description": "Field boundary labels and corresponding Planet images",
"ARN": "arn:aws:s3:::africa-field-boundary-labels",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/agroimpacts/lacunalabels/",
"Contact": "airg@clarku.edu",
"ManagedBy": "[The Agricultural Impacts Research Group](https://agroimpacts.info/)",
"UpdateFrequency": "Updated versions of the dataset are added as they are developed",
"License": "[Planet NICFI participant license agreement](https://assets.planet.com/docs/Planet_ParticipantLicenseAgreement_NICFI.pdf)",
"Tags": [
"agriculture",
"machine learning",
"land cover",
"satellite imagery",
"cog",
"labeled"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "A2D2: Audi Autonomous Driving Dataset",
"Description": "http://a2d2audi",
"ARN": "arn:aws:s3:::aev-autonomous-driving-dataset",
"Region": "eu-central-1",
"Type": "S3 Bucket",
"Documentation": "http://a2d2.audi",
"Contact": "aevdrivingdataset@audi.de",
"ManagedBy": "[Audi AG](http://a2d2.audi/)",
"UpdateFrequency": "The dataset may be updated with additional or corrected data on a need-to-update basis.",
"License": "https://creativecommons.org/licenses/by-nd/4.0/",
"Tags": [
"autonomous vehicles",
"deep learning",
"computer vision",
"lidar",
"mapping",
"machine learning",
"robotics",
"aws-pds"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "ARPA-E PERFORM Forecast data - ARPA-E PERFORM Forecast data",
"Description": "ARPA-E PERFORM Forecast data",
"ARN": "arn:aws:s3:::arpa-e-perform/",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/PERFORM-Forecasts/documentation",
"Contact": "https://github.com/openEDI/PERFORM-Forecasts/documentation/issues",
"ManagedBy": "[National Renewable Energy Laboratory](https://www.nrel.gov/)",
"UpdateFrequency": "As needed",
"License": "Creative Commons Attribution 3.0 United States License",
"Tags": [
"aws-pds",
"energy",
"environmental",
"geospatial",
"model",
"solar"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "ARPA-E PERFORM Forecast data - Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT)",
"Description": "Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT)",
"ARN": "arn:aws:s3:::arpa-e-perform/ERCOT/",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/PERFORM-Forecasts/documentation",
"Contact": "https://github.com/openEDI/PERFORM-Forecasts/documentation/issues",
"ManagedBy": "[National Renewable Energy Laboratory](https://www.nrel.gov/)",
"UpdateFrequency": "As needed",
"License": "Creative Commons Attribution 3.0 United States License",
"Tags": [
"aws-pds",
"energy",
"environmental",
"geospatial",
"model",
"solar"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "ARPA-E PERFORM Forecast data - Forecasts and Actuals for The Midcontinent Independent System Operator (MISO)",
"Description": "Forecasts and Actuals for The Midcontinent Independent System Operator (MISO)",
"ARN": "arn:aws:s3:::arpa-e-perform/MISO/",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/PERFORM-Forecasts/documentation",
"Contact": "https://github.com/openEDI/PERFORM-Forecasts/documentation/issues",
"ManagedBy": "[National Renewable Energy Laboratory](https://www.nrel.gov/)",
"UpdateFrequency": "As needed",
"License": "Creative Commons Attribution 3.0 United States License",
"Tags": [
"aws-pds",
"energy",
"environmental",
"geospatial",
"model",
"solar"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "ARPA-E PERFORM Forecast data - Forecasts and Actuals for The New York Independent System Operator (NYISO)",
"Description": "Forecasts and Actuals for The New York Independent System Operator (NYISO)",
"ARN": "arn:aws:s3:::arpa-e-perform/NYISO/",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/PERFORM-Forecasts/documentation",
"Contact": "https://github.com/openEDI/PERFORM-Forecasts/documentation/issues",
"ManagedBy": "[National Renewable Energy Laboratory](https://www.nrel.gov/)",
"UpdateFrequency": "As needed",
"License": "Creative Commons Attribution 3.0 United States License",
"Tags": [
"aws-pds",
"energy",
"environmental",
"geospatial",
"model",
"solar"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "ARPA-E PERFORM Forecast data - Forecasts and Actuals for The Southwest Power Pool (SPP)",
"Description": "Forecasts and Actuals for The Southwest Power Pool (SPP)",
"ARN": "arn:aws:s3:::arpa-e-perform/SPP/",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://github.com/PERFORM-Forecasts/documentation",
"Contact": "https://github.com/openEDI/PERFORM-Forecasts/documentation/issues",
"ManagedBy": "[National Renewable Energy Laboratory](https://www.nrel.gov/)",
"UpdateFrequency": "As needed",
"License": "Creative Commons Attribution 3.0 United States License",
"Tags": [
"aws-pds",
"energy",
"environmental",
"geospatial",
"model",
"solar"
],
"RequesterPays": null,
"Explore": null,
"Host": null,
"AccountRequired": null
},
{
"Name": "ASF SAR Data Products for Disaster Events - ASF Event data S3 bucket",
"Description": "ASF Event data S3 bucket",
"ARN": "arn:aws:s3:::asf-event-data",
"Region": "us-west-2",
"Type": "S3 Bucket",
"Documentation": "https://asf-event-data.s3.us-west-2.amazonaws.com/README.md",
"Contact": "https://asf.alaska.edu/asf/contact-us/",
"ManagedBy": "[The Alaska Satellite Facility (ASF)](https://asf.alaska.edu/)",
"UpdateFrequency": "Irregular, in response to disaster events\n",
"License": "This data falls under the terms and conditions of the [Creative Commons Zero (CC0) 1.0 Universal License](https://creativecommons.org/publicdomain/zero/1.0/) unless otherwise noted.",
"Tags": [
"aws-pds",
"disaster response",
"satellite imagery",
"geospatial",
"cog",
"stac"
],
"RequesterPays": null,
"Explore": [
"[Browse Bucket](https://asf-event-data.s3.amazonaws.com/index.html)"
],
"Host": null,
"AccountRequired": null
},
{
"Name": "ASF SAR Data Products for Disaster Events - Notifications for new event data",
"Description": "Notifications for new event data",
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"License": "[CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html)",
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"ManagedBy": "[NASA](https://osdr.nasa.gov/)",
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"Contact": "contact@openmeteodata.com",
"ManagedBy": "[OpenMeteoData](https://openmeteodata.com)",
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{
"Name": "Blended TROPOMI+GOSAT Satellite Data Product for Atmospheric Methane",
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"Name": "CAM6 Data Assimilation Research Testbed (DART) Reanalysis: Cloud-Optimized Dataset",
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"ManagedBy": "[AMS Kepler](https://amskepler.com/)",
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"Name": "CBERS on AWS - Notifications for new CBERS 4 quicklooks, all sensors",
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"ManagedBy": "[AMS Kepler](https://amskepler.com/)",
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"Contact": "https://lists.osgeo.org/mailman/listinfo/cbers-pds",
"ManagedBy": "[AMS Kepler](https://amskepler.com/)",
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"Contact": "https://lists.osgeo.org/mailman/listinfo/cbers-pds",
"ManagedBy": "[AMS Kepler](https://amskepler.com/)",
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"Host": null,
"AccountRequired": null
},
{
"Name": "CBERS on AWS - Topic that receives STAC V100 items as new scenes are ingested",
"Description": "Topic that receives STAC V100 items as new scenes are ingested",
"ARN": "arn:aws:sns:us-west-2:769537946825:br-eo-stac-prod-stacitemtopic4BCE3141-Z8he7LYjqXFe",
"Region": "us-west-2",
"Type": "SNS Topic",
"Documentation": "https://github.com/fredliporace/cbers-on-aws",
"Contact": "https://lists.osgeo.org/mailman/listinfo/cbers-pds",
"ManagedBy": "[AMS Kepler](https://amskepler.com/)",
"UpdateFrequency": "Daily",
"License": "https://creativecommons.org/licenses/by-sa/3.0/",
"Tags": [
"aws-pds",
"agriculture",
"earth observation",