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    • Examining the impacts of increased corn production on groundwater quality using a coupled modeling system

    Metadata Updated: November 12, 2020

    This dataset was used to create graphics associated with manuscript: Garcia et al., Examining the impacts of increased corn production on groundwater quality using a coupled modeling system, 2017, Science of the Total Environment.

    This dataset is associated with the following publication: Garcia, V., E. Cooter, J. Crooks, B. Hinckley, M. Murphy, and X. Xing. Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 586: 16-24, (2017).

    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.2017.02.009

    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 A-hdrn-492
    Data Last Modified 2017-02-07
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Data Dictionary https://pasteur.epa.gov/uploads/492/documents/FertilizerScenarioComparison2_data_dic.docx
    Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
    Harvest Object Id 558429a3-2392-4523-addb-e0023aeb23b4
    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.2017.02.009
    Source Datajson Identifier True
    Source Hash 8d6a29aa5cd945e74f766e64b3f6fa7c712c5e4c
    Source Schema Version 1.1

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