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    • Machine Learning Model Geotiffs - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

    Metadata Updated: January 20, 2025

    This submission contains geotiffs, supporting shapefiles and readmes for the inputs and output models of algorithms explored in the Nevada Geothermal Machine Learning project, meant to accompany the final report. Layers include: Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk), input rasters of feature sets, and positive/negative training sites.

    See readme .txt files and final report for additional metadata. A submission linking the full codebase for generating machine learning output models is available under "related resources" on this page.

    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 Nevada Bureau of Mines and Geology
    Maintainer
    Doi 10.15121/1897036
    Identifier https://data.openei.org/submissions/7465
    Data First Published 2021-06-01T06:00:00Z
    Data Last Modified 2022-11-07T07:37:39Z
    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 df036ce8-df49-4f37-a276-4b87fe7e0925
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1351
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-119.73848125,38.393557308820284,-114.3442953125,38.393557308820284,-114.3442953125,41.864861026951054,-119.73848125,41.864861026951054,-119.73848125,38.393557308820284}
    Program Code 019:006
    Projectlead Mike Weathers
    Projectnumber EE0008762
    Projecttitle Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
    Source Datajson Identifier True
    Source Hash a63ff7ac69cd378969edadb77b95b20aa2e94bb23d1556c89849e40264bb0beb
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-119.73848125,38.393557308820284,-114.3442953125,38.393557308820284,-114.3442953125,41.864861026951054,-119.73848125,41.864861026951054,-119.73848125,38.393557308820284}

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