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    • OPERA models for predicting physicochemical properties and environmental fate endpoints

    Metadata Updated: August 9, 2021

    For the purpose of this modeling study, extensive curation work was conducted on 13 publicly available PHYSPROP physicochemical property and environmental fate datasets.The dataset supporting the conclusions of this article are available within the article and its additional file as well as OPERA’s Github repository (https://github.com/kmansouri/OPERA) and the EPA’s ftp site: https://figshare.com/s/6fa1babbc9a0e9560317.

    This dataset is associated with the following publication: Mansouri, K., C. Grulke, R. Judson, and A. Williams. OPERA models for predicting physicochemical properties and environmental fate endpoints. Journal of Cheminformatics. Springer, New York, NY, USA, 10: 10, (2018).

    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/10.1186/s13321-018-0263-1

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date August 9, 2021

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date August 9, 2021
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1504180
    Data Last Modified 2018-02-16
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id e84b4776-7fef-46d5-9101-b65732c4f5ed
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:095
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1186/s13321-018-0263-1
    Source Datajson Identifier True
    Source Hash 588f91f934ad719fcf0a9a6bf1f6678fa15b2869
    Source Schema Version 1.1

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