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    • A high-throughput, automated technique for microplastic detection, quantification, and characterization in surface waters using laser direct infrared spectroscopy

    Metadata Updated: December 4, 2022

    Raw LDIR exported data for microplastics including the surface water samples, air blanks, Super-Q blanks, and field blanks. The aspect ratios determined from the shape standards are included. Additionally, the FTIR and LDIR spectra of polymers are included.

    This dataset is associated with the following publication: Whiting, Q.T., K.F. O'Connor, P.M. Potter, and S.R. Al-Abed. A high-throughput, automated technique for microplastics detection, quantification, and characterization in surface waters using laser direct infrared spectroscopy. Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 414: 8353-8364, (2022).

    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/10.1007/s00216-022-04371-2

    Dates

    Metadata Created Date December 4, 2022
    Metadata Updated Date December 4, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 4, 2022
    Metadata Updated Date December 4, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1527752
    Data Last Modified 2022-01-31
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 5ec7792b-7a98-424c-898d-a31cd1fee298
    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/10.1007/s00216-022-04371-2
    Source Datajson Identifier True
    Source Hash dfe1044ea1f83b72f4bef849470cc18e8ade4d0b
    Source Schema Version 1.1

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