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    • Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 4 Models

    Metadata Updated: July 6, 2024

    <p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</p>

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date July 6, 2024
    Publisher U.S. Geological Survey
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/5453e868a4941ca4fb4d9069eac470a4
    Identifier USGS:5f9865cfd34e198cb77ff088
    Data Last Modified 20210105
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://datainventory.doi.gov/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
    Harvest Object Id 8eeda67e-2449-4c0a-8622-4c3907633f9f
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -123.32988684,30.1454932,-70.97964444,48.90595739
    Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
    Source Datajson Identifier True
    Source Hash c72c2bdd7c186d33ff93a8213ad5f07d08dc2863a12c2909c104e72e7d35acc8
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -123.32988684, 30.1454932, -123.32988684, 48.90595739, -70.97964444, 48.90595739, -70.97964444, 30.1454932, -123.32988684, 30.1454932}

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