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    • State-level comparisons of annual soil loss between our calculated Revised Universal Soil Loss Equation (RUSLE) estimates and those reported by the USDA National Resources Inventory (NRI)

    Metadata Updated: November 12, 2020

    In the associated manuscript, we used the State-level National Resources Inventory (NRI) annual estimates of sheet and rill erosion to calibrate our RUSLE-derived estimates. This data set provides the data used in and resulting from that calibration. The data set relates to Figs 1 a-d in the manuscript.

    This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.scitotenv.2020.140972

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1519120
    Data Last Modified 2020-07-24
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 0eceeed3-8dc6-44b6-984f-7bcdfe757409
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:097
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.scitotenv.2020.140972
    Source Datajson Identifier True
    Source Hash 0600ff6bd0baa654516017e72967d2dafaed724e
    Source Schema Version 1.1

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