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    • Suspended-sediment concentrations, acoustic data, and a linear regression model for the Minnesota River at Mankato, Minnesota, 2016-2019

    Metadata Updated: November 19, 2025

    A simple linear regression model was developed and calibrated for the Minnesota River at Mankato, Minnesota (Site Number: 05325000). The linear regression model was calibrated using acoustic and suspended-sediment concentration data collected from 2016 through 2019.The calibrated model will be used to improve understanding of sediment transport processes and increase accuracy of estimating sediment concentrations and loads for the Minnesota River at Mankato, Minnesota.

    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 September 13, 2025
    Metadata Updated Date November 19, 2025

    Metadata Source

    Harvested from DOI USGS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 13, 2025
    Metadata Updated Date November 19, 2025
    Publisher U.S. Geological Survey
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/usgs-5e188ed1e4b0ecf25c5a34de
    Data Last Modified 2020-08-27T00:00:00Z
    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://ddi.doi.gov/usgs-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 658b44f8-f4fc-432b-8cf4-cc25fa6113eb
    Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
    Harvest Source Title DOI USGS DCAT-US
    Metadata Type geospatial
    Source Datajson Identifier True
    Source Hash 4ef71669813f74db7522b6881aff0a637b0f82d3d5f1d53f77c8a978987e9776
    Source Schema Version 1.1

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