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    • Process-guided deep learning water temperature predictions: 4c All lakes historical training data

    Metadata Updated: June 15, 2024

    Observed water temperatures from 1980-2018 were compiled for 68 lakes in Minnesota and Wisconsin (USA). These data were used as training data for process-guided deep learning models and deep learning models, and calibration data for process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources.

    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 June 15, 2024

    Metadata Source

    Harvested from DOI EDI

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date June 1, 2023
    Metadata Updated Date June 15, 2024
    Publisher Climate Adaptation Science Centers
    Maintainer
    @Id http://datainventory.doi.gov/id/dataset/674a09b1c74ff8e304625225a437c8c8
    Identifier b7717f40-8a7c-409d-ab0c-5f3282864d4c
    Data Last Modified 2020-08-20
    Category geospatial
    Public Access Level public
    Bureau Code 010:00
    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 21d41a38-8463-427d-9650-e79c0db7d2e4
    Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
    Harvest Source Title DOI EDI
    Metadata Type geospatial
    Old Spatial -94.2609062308,42.5692312673,-87.9475441739,48.6427837912
    Source Datajson Identifier True
    Source Hash d1f7c9a7fbeceebb69562984b5eb0a696b1f98370d35acec35ccea5ebf93f843
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -94.2609062308, 42.5692312673, -94.2609062308, 48.6427837912, -87.9475441739, 48.6427837912, -87.9475441739, 42.5692312673, -94.2609062308, 42.5692312673}

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