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    • Data for Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies..."

    Metadata Updated: November 12, 2020

    Data for publication Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies in toxicity testing and exposure assessment: a case study on food contact chemicals". Includes food concentration predictions from the model of Biryol et al. (2017) and SHEDS-HT exposure predictions.

    This dataset is associated with the following publication: Turley, A., K. Isaacs, B. Wetmore, A. Karmaus, M. Embry, and M. Krishan. Incorporating new approach methodologies in toxicity testing and exposure assessment for tiered risk assessment using the RISK21 approach: Case studies on food contact chemicals. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 134: 110819, (2019).

    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.fct.2019.110819

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1503448
    Data Last Modified 2019-03-07
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id 48b7b9f5-dd1c-4a5f-aaa6-d69b6f002af6
    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/10.1016/j.fct.2019.110819
    Source Datajson Identifier True
    Source Hash f89ea60fea11ddc1dc0a5d27cd1223a6b28d8b2f
    Source Schema Version 1.1

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