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    • Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR spectra, gravimetric PM2.5 mass, TOT OC-EC, and GC-MS PAH data set

    Metadata Updated: May 14, 2022

    For the manuscript titled "Quantitative Functional Group Compositions of Household Fuel Burn Emissions using FTIR" by Li et al., EPA measured gravimetric PM2.5 mass, TOT OC-EC measurements, and GC-MS PAH measurements. Predictive models and predictions built from EPA data were performed at the Swiss Federal Institute of Technology Lausanne (EPFL).

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

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    Dates

    Metadata Created Date May 14, 2022
    Metadata Updated Date May 14, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 14, 2022
    Metadata Updated Date May 14, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1524784
    Data Last Modified 2018-06-01
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 85d05e14-c98e-417f-8144-04b0ee111665
    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)
    Source Datajson Identifier True
    Source Hash 6ce9a6b474c7d335fd1f2fe7b391835b1fdb31b7
    Source Schema Version 1.1

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