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Updated datasets 2025-03-06 UTC
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aws_geo_datasets.json

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"Host": null,
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"AccountRequired": null
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},
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{
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"Name": "AG-LOAM Dataset",
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"Description": "AG-LOAM Dataset sequences",
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"ARN": "arn:aws:s3:::ucr-robotics/ag-loam-dataset",
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"Region": "us-west-2",
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"Type": "S3 Bucket",
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"Documentation": "https://github.com/UCR-Robotics/AG-LOAM",
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"Contact": "Hanzhe Teng (hteng007@ucr.edu), Konstantinos Karydis (kkarydis@ece.ucr.edu)",
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"ManagedBy": "[Autonomous Robots and Control Systems Lab](https://sites.google.com/view/arcs-lab)",
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"UpdateFrequency": "NA",
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"License": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).",
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"Tags": [
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"aws-pds",
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"robotics",
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"agriculture",
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"lidar",
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"localization",
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"mapping"
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],
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"Explore": null,
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"RequesterPays": null,
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"Host": null,
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"AccountRequired": null
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},
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{
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"Name": "AI Weather Prediction (AIWP) Model Reforecasts",
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"Description": "AIWP data",

aws_geo_datasets.tsv

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3-Band Cryo Data | Wide-field Infrared Survey Explorer (WISE) "3-Band Cryo Single-exposure Image Sets: 392,879 calibrated 1024x1024 pix @275""/" arn:aws:s3:::nasa-irsa-wise/wise/cryo-3band us-west-2 S3 Bucket https://irsa.ipac.caltech.edu/Missions/wise.html https://irsa.ipac.caltech.edu/docs/help_desk.html NASA/IPAC Infrared Science Archive ([IRSA](https://irsa.ipac.caltech.edu)) at Ca The WISE 3-Band Cryo Data Release has been finalized and will not be updated. https://irsa.ipac.caltech.edu/data_use_terms.html aws-pds, astronomy, imaging, satellite imagery, survey False False
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A region-wide, multi-year set of crop field boundary labels for Africa Field boundary labels and corresponding Planet images arn:aws:s3:::africa-field-boundary-labels us-west-2 S3 Bucket https://github.com/agroimpacts/lacunalabels/ airg@clarku.edu [The Agricultural Impacts Research Group](https://agroimpacts.info/) Updated versions of the dataset are added as they are developed [Planet NICFI participant license agreement](https://assets.planet.com/docs/Plan agriculture, machine learning, land cover, satellite imagery, cog, labeled
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A2D2: Audi Autonomous Driving Dataset http://a2d2audi arn:aws:s3:::aev-autonomous-driving-dataset eu-central-1 S3 Bucket http://a2d2.audi aevdrivingdataset@audi.de [Audi AG](http://a2d2.audi/) The dataset may be updated with additional or corrected data on a need-to-update https://creativecommons.org/licenses/by-nd/4.0/ autonomous vehicles, deep learning, computer vision, lidar, mapping, machine learning, robotics, aws-pds
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AG-LOAM Dataset AG-LOAM Dataset sequences arn:aws:s3:::ucr-robotics/ag-loam-dataset us-west-2 S3 Bucket https://github.com/UCR-Robotics/AG-LOAM Hanzhe Teng (hteng007@ucr.edu), Konstantinos Karydis (kkarydis@ece.ucr.edu) [Autonomous Robots and Control Systems Lab](https://sites.google.com/view/arcs-l NA Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). aws-pds, robotics, agriculture, lidar, localization, mapping
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AI Weather Prediction (AIWP) Model Reforecasts AIWP data arn:aws:s3:::noaa-oar-mlwp-data us-east-1 S3 Bucket https://noaa-oar-mlwp-data.s3.amazonaws.com/README.txt For questions regarding data availability, content, or quality, contact Dr. Jaco Dr. Jacob Radford (jacob.radford@noaa.gov) 2 times a day, every 12 hours starting at midnight UTC Open Data. There are no restrictions on the use of this data. environmental, meteorological, weather ['[Browse Bucket](https://noaa-oar-mlwp-data.s3.amazonaws.com/index.html)']
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ARPA-E PERFORM Forecast data - ARPA-E PERFORM Forecast data ARPA-E PERFORM Forecast data arn:aws:s3:::arpa-e-perform/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar
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ARPA-E PERFORM Forecast data - Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT) Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT) arn:aws:s3:::arpa-e-perform/ERCOT/ us-west-2 S3 Bucket https://github.com/PERFORM-Forecasts/documentation https://github.com/openEDI/PERFORM-Forecasts/documentation/issues [National Renewable Energy Laboratory](https://www.nrel.gov/) As needed Creative Commons Attribution 3.0 United States License aws-pds, energy, environmental, geospatial, model, solar

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