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The chemical landscape of high-throughput new approach methodologies for exposure

Metadata Updated: January 1, 2023

Data for the publication Isaacs, K.K., Egeghy, P., Dionisio, K.L. et al. The chemical landscape of high-throughput new approach methodologies for exposure. J Expo Sci Environ Epidemiol (2022). https://doi.org/10.1038/s41370-022-00496-9.

This dataset is associated with the following publication: Isaacs, K., P. Egeghy, K. Dionisio, K. Phillips, A. Zidek, C. Ring, J. Sobus, E. Ulrich, B. Wetmore, A. Williams, and J. Wambaugh. The chemical landscape of high-throughput new approach methodologies for exposure. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 32: 820-832, (2022).

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/10.1038/s41370-022-00496-9

Dates

Metadata Created Date January 1, 2023
Metadata Updated Date January 1, 2023

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date January 1, 2023
Metadata Updated Date January 1, 2023
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1528309
Data Last Modified 2022-11-26
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 061642c6-a70e-48f8-96b2-3d264cb7098f
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)
Related Documents https://doi.org/10.1038/s41370-022-00496-9
Source Datajson Identifier True
Source Hash bd69b2d29f2dc8f4d0689a35dc3ee8c1c13b0277
Source Schema Version 1.1

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