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    • Potential for electric vehicle adoption to mitigate extreme air quality events in China study dataset (please contact Dr. Jordan Schnell (jordan.schnell@noaa.gov) to obtain a copy of the data)

    Metadata Updated: January 24, 2022

    simulation results. This dataset is not publicly accessible because: I don't own the data. It can be accessed through the following means: Please contact Dr. Jordan Schnell (jordan.schnell@noaa.gov) to obtain a copy of the data. Format: N/A.

    This dataset is associated with the following publication: Schnell, J., D. Peters, D. Wong, X. Lu, H. Gao, H. Zhang, P. Kinney, and D. Horton. Potential for Electric Vehicle Adoption to Mitigate Extreme Air Quality Events in China. Earth’s Future. John Wiley & Sons, Inc., Hoboken, NJ, USA, 9(2): e2020EF001788, (2021).

    Access & Use Information

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

    Downloads & Resources

    No file downloads have been provided. The publisher may provide downloads in the future or they may be available from their other links.

    References

    https://doi.org/10.1029/2020ef001788

    Dates

    Metadata Created Date January 24, 2022
    Metadata Updated Date January 24, 2022

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 24, 2022
    Metadata Updated Date January 24, 2022
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1519259
    Data Last Modified 2020-08-20
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 5a1e80bf-4f18-4a59-a8d6-6eb846d5957f
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.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/10.1029/2020ef001788
    Source Datajson Identifier True
    Source Hash e7222e548e905d6bef502c9aa026b42c3ac1d7bb
    Source Schema Version 1.1

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