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    • USGS Geophysics, Heat Flow, and Slip and Dilation Tendency Data used in Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada

    Metadata Updated: January 20, 2025

    This package contains USGS data contributions to the DOE-funded Nevada Geothermal Machine Learning Project, with the objective of developing a machine learning approach to identifying new geothermal systems in the Great Basin. This package contains three major data products (geophysics, heat flow, and fault dilation and slip tendencies) that cover a large portion of northern Nevada. The geophysics data include map surfaces related to gravity and magnetic data, and line and point data derived from those surfaces. Heat flow data include an interpolated map of heat flow in mW/m^2, an error surface, and well data used to construct them. The dilation and slip tendency information exist as attributes assigned to each line segment of mapped faults and geophysical lineaments.

    GDR submission contains link to official USGS data release. Additional metadata available on source DOI 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
    Identifier https://data.openei.org/submissions/7463
    Data First Published 2021-06-01T06:00:00Z
    Data Last Modified 2022-10-07T20:33:25Z
    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 9ce2d8b3-9964-4e5b-848b-d8439fd85e56
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1349
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-119.826371875,38.35910638319357,-114.3442953125,38.35910638319357,-114.3442953125,41.897579646871705,-119.826371875,41.897579646871705,-119.826371875,38.35910638319357}
    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 81ed9987d6a916b126f8a0624a2575c3bac4ebaefa26026d580e4afcf44c3540
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-119.826371875,38.35910638319357,-114.3442953125,38.35910638319357,-114.3442953125,41.897579646871705,-119.826371875,41.897579646871705,-119.826371875,38.35910638319357}

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