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    • Data associated with manuscript "Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-earth systems model"

    Metadata Updated: August 13, 2021

    The GCAM-USA model was used to evaluate the incremental national and regional emission impacts of widespread electric vehicle adoption in the US through 2050. This dataset includes the model outputs that were used to develop figures and tables for the related manuscript.

    This dataset is associated with the following publication: Ou, Y., N. Kittner, S. Babaee, S.J. Smith, C. Nolte, and D. Loughlin. Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model. Applied Energy. Elsevier B.V., Amsterdam, NETHERLANDS, 300: 117364, (2021).

    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/10.1016/j.apenergy.2021.117364

    Dates

    Metadata Created Date August 13, 2021
    Metadata Updated Date August 13, 2021

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date August 13, 2021
    Metadata Updated Date August 13, 2021
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1519404
    Data Last Modified 2020-09-18
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 7f8baf83-94c6-4282-a237-d72c4416f0ed
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:094
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.apenergy.2021.117364
    Source Datajson Identifier True
    Source Hash fa5d33a24e462ccc54e32bf149b8fd7be5eb0839
    Source Schema Version 1.1

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