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    • GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration and Development of Hidden Geothermal Resources

    Metadata Updated: January 20, 2025

    Geothermal exploration and production are challenging, expensive and risky. The GeoThermalCloud uses Machine Learning to predict the ___location of hidden geothermal resources. This submission includes a training dataset for the GeoThermalCloud neural network. Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025
    Publisher Stanford University
    Maintainer
    Doi 10.15121/1869828
    Identifier https://data.openei.org/submissions/7488
    Data First Published 2022-04-04T06:00:00Z
    Data Last Modified 2022-05-26T16:04:57Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Datagov Dedupe Retained 20250120155001
    Harvest Object Id 00c4ef52-9251-48bb-9d89-32e6dc48e94d
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1377
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174}
    Program Code 019:006
    Projectlead Mike Weathers
    Projectnumber 35514
    Projecttitle Thermo-hydro-chemical data for machine learning model development
    Source Datajson Identifier True
    Source Hash 2f6845b61b96b981e0142dfb146a570aede4e45b5f04e42f60257a8c15a0a3b3
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174,-106.3249889031506,32.67710958643174}

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