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  • Association rule mining data for census tract chemical exposure analysis

    Metadata Updated: November 12, 2020

    Chemical concentration, exposure, and health risk data for U.S. census tracts from National Scale Air Toxics Assessment (NATA).

    This dataset is associated with the following publication: Huang, H., R. Tornero-Velez, and T. Barzyk. Associations between socio-demographic characteristics and chemical concentrations contributing to cumulative exposures in the United States. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(6): 544-550, (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/10.1038/jes.2017.15

    Dates

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

    Metadata Source

    Harvested from EPA ScienceHub

    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/10.23719/1390151
    Data Last Modified 2016-07-20
    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/10.23719/1390151/documents/Data%20dictionary%20for%20ARM%20dataset.docx
    Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
    Harvest Object Id 98fe210f-c06c-4685-945f-cd58f12d1ed9
    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/10.1038/jes.2017.15
    Source Datajson Identifier True
    Source Hash 8329cee33ff0d4c3f5af8cebec98d020034f79b8
    Source Schema Version 1.1

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