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    • Data Arrays for Microearthquake (MEQ) Monitoring using Deep Learning for the Newberry EGS Sites

    Metadata Updated: June 25, 2021

    The 'Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties' project looks to apply machine learning (ML) methods to Microearthquake (MEQ) data for imaging geothermal reservoir properties and forecasting seismic events, in order to advance geothermal exploration and safe geothermal energy production. As part of the project, this submission provides data arrays for 149 microearthquakes between the year 2012 and 2013 at the Newberry EGS Site for use with the Deep Learning Algorithm that has been developed. The data provided includes raw waveform data, location data, normalized waveform data, and processed waveform data.

    Penn State Geothermal Team has shared the following files from the project: - 149 microearthquakes (MEQs) between 2012 and 2013 at Newberry EGS sites, 'Normalized Waveform Inputs.npz' are normalized waveforms. - labels of 149 MEQs: Processed Waveform Inputs.npz - location labels of 149 MEQs: Location Data.npz Note: .npz is the python file format by NumPy that provides storage of array data.

    Access & Use Information

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

    Downloads & Resources

    Dates

    Metadata Created Date June 24, 2021
    Metadata Updated Date June 25, 2021

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 24, 2021
    Metadata Updated Date June 25, 2021
    Publisher Pennsylvania State University
    Maintainer
    Doi 10.15121/1787546
    Identifier https://data.openei.org/submissions/4077
    Data First Published 2021-05-05T06:00:00Z
    Data Last Modified 2021-06-10T15:44:52Z
    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
    Harvest Object Id 8a2f89e0-f64b-4b79-91ac-f21c11c65209
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1310
    License https://creativecommons.org/licenses/by/4.0/
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    Program Code 019:006
    Projectlead Mike Weathers
    Projectnumber EE0008763
    Projecttitle Machine Learning Approaches to Predicting Induced Seismicity and Imaging Geothermal Reservoir Properties
    Source Datajson Identifier True
    Source Hash 4a267f972eb6f6f968c133c865a5fd74a835d78a
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