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    • Estimating Biofuel Contaminant Concentration from 4D ERT with Mixing Models

    Metadata Updated: August 14, 2022

    The data are ground penetrating radar, electrical resistivity, and interpretation data. This dataset is not publicly accessible because: Secondary data, not EPA data. It can be accessed through the following means: Contact first author, Dan Glaser. Format: Data generated and stored by USACE and Rutgers University - Newark.

    This dataset is associated with the following publication: Glaser, D., R. Henderson, D. Werkema, T. Johnson, and R. Versteeg. Estimating Biofuel Contaminant Concentration from 4D ERT with Mixing Models. JOURNAL OF CONTAMINANT HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 248: 104027, (2022).

    Access & Use Information

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

    Downloads & Resources

    No file downloads have been provided. The publisher may provide downloads in the future or they may be available from their other links.

    References

    https://doi.org/10.1016/j.jconhyd.2022.104027

    Dates

    Metadata Created Date August 14, 2022
    Metadata Updated Date August 14, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date August 14, 2022
    Metadata Updated Date August 14, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1527828
    Data Last Modified 2022-08-10
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 0a163268-8b3d-48b6-abdb-69a4dc16f863
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
    Program Code 020:000
    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.jconhyd.2022.104027
    Source Datajson Identifier True
    Source Hash 258445e03b9bb9214c4b4297903f0fba774c4675
    Source Schema Version 1.1

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