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    • Extreme gradient boosting machine learning models, suspended sediment, bedload, streamflow, and geospatial data, Minnesota, 2007-2019

    Metadata Updated: January 21, 2026

    A series of machine learning (ML) models were developed for Minnesota. The ML models were trained and tested using suspended sediment, bedload, streamflow, and geospatial data to predicted suspended sediment and bedload. Suspended sediment, bedload, and streamflow data were collected during water years 2007 through 2019. The ML models were used to improve understanding of sediment transport processes and increase accuracy of estimating sediment and loads for streams and rivers across Minnesota. The contents of this data release include README files, input files, output files, and source code (R software version 3.6.1) needed to reproduce the ML models and results in the associated article in Hydrological Processes (https://doi.org/10.1002/hyp.14648).

    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 January 13, 2026
    Metadata Updated Date January 21, 2026

    Metadata Source

    Harvested from DOI USGS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 13, 2026
    Metadata Updated Date January 21, 2026
    Publisher U.S. Geological Survey
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/USGS_61572adcd34e0df5fb9f8300
    Data Last Modified 2022-08-11T00:00:00Z
    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
    Datagov Dedupe Retained 20260121062710
    Harvest Object Id 4c8704b0-25d1-4914-a36e-d039b72f98a5
    Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
    Harvest Source Title DOI USGS DCAT-US
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": -97.5929662585258, 43.1421712434946, -97.5929662585258, 49.4476743069444, -89.4191381335258, 49.4476743069444, -89.4191381335258, 43.1421712434946, -97.5929662585258, 43.1421712434946}
    Source Datajson Identifier True
    Source Hash 8b21f201955376a4fa15df0d5b948ecbf77b3228190e427ec3236ebf0bf3bec0
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -97.5929662585258, 43.1421712434946, -97.5929662585258, 49.4476743069444, -89.4191381335258, 49.4476743069444, -89.4191381335258, 43.1421712434946, -97.5929662585258, 43.1421712434946}

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