Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • Bayesian inference of chemical exposures from NHANES urine biomonitoring data

    Metadata Updated: January 23, 2023

    Data and files for "Stanfield, Z., Setzer, R.W., Hull, V. et al. Bayesian inference of chemical exposures from NHANES urine biomonitoring data. J Expo Sci Environ Epidemiol 32, 833–846 (2022). https://doi.org/10.1038/s41370-022-00459-0"

    Access & Use Information

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

    Downloads & Resources

    Dates

    Metadata Created Date January 23, 2023
    Metadata Updated Date January 23, 2023

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 23, 2023
    Metadata Updated Date January 23, 2023
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1528370
    Data Last Modified 2022-08-17
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id c743b73a-c05d-4e0c-bc3d-e2eabf830dad
    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 e564218abc78f804fdd283ce77969bd9b13d2eae
    Source Schema Version 1.1

    Didn't find what you're looking for? Suggest a dataset here.