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  • Arsenic speciation results

    Metadata Updated: September 14, 2018

    Linear combination fitting results of synchrotron data to determine arsenic speciation in soil samples.

    This dataset is associated with the following publication: Whitacre, S., N. Basta, B. Stevens, V. Hanley, R. Anderson, and K. Scheckel. Modification of an Existing In vitro Method to Predict Relative Bioavailable Arsenic in Soils. Jacob de Boer, and Shane Snyder CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 180: 545-552, (2017).

    Access & Use Information

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

    Downloads & Resources

    References

    http://www.sciencedirect.com/science/journal/00456535/180

    Dates

    Metadata Created Date September 5, 2017
    Metadata Updated Date September 14, 2018

    Metadata Source

    Harvested from EPA ScienceHub

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 5, 2017
    Metadata Updated Date September 14, 2018
    Publisher U.S. EPA Office of Research and Development (ORD)
    Unique Identifier https://doi.org/10.23719/1377034
    Maintainer
    Kirk Scheckel
    Maintainer Email
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 8ad7fd00-fc71-40b0-986c-9759cbd84e2a
    Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Data Last Modified 2016-12-08
    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 http://www.sciencedirect.com/science/journal/00456535/180
    Source Datajson Identifier True
    Source Hash 94c30eafe9f77e7b9c3b9be9f8b0b947bc443666
    Source Schema Version 1.1

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