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    • PCB Data (excel file) and PFAS Data (excel file)

    Metadata Updated: February 10, 2023

    Analytical and field sampling data for each 2018-2019 NRSA Fish Tissue Study chemical contaminant are provided, along with a data dictionary that describes the contents of each data file. All results for the fillet tissue concentrations are reported on a wet weight basis. All the fish fillet samples analyzed contained detectable levels of mercury and PCBs, and PFAS were detected in 95% of the fillet samples.

    This dataset is associated with the following publication: Stahl, L., B.D. Snyder, H.B. McCarty, T. Kincaid, A. Olsen, T.R. Cohen, and J. Healey. Contaminants in Fish from U.S. Rivers: Probability-Based National Assessments. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 861(25): 160557, (2023).

    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.2022.160557

    Dates

    Metadata Created Date February 10, 2023
    Metadata Updated Date February 10, 2023

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 10, 2023
    Metadata Updated Date February 10, 2023
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1528508
    Data Last Modified 2022-04-11
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 8ea7c0f5-e5b0-4afa-99ae-8d0faaf3bbc5
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:000
    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.scitotenv.2022.160557
    Source Datajson Identifier True
    Source Hash 2f74cef9219be40c5a957132cfcee5ae500ab3d5
    Source Schema Version 1.1

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