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Quantitative Prediction of Repeat Dose Toxicity Values using GenRA

Metadata Updated: May 1, 2021

Per Imran Shah, this was the Data used in and published as supplemental material for this manuscript. Table S1. Aggregated point of departure (POD) data obtained from ToxRefDB v2.0. Table S2. Chemical structure descriptor data from DSSTox. Table S3. Chemical cluster membership. Table S5. GenRA optimal predictions for each endpoint category and cluster.

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

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Dates

Metadata Created Date May 1, 2021
Metadata Updated Date May 1, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date May 1, 2021
Metadata Updated Date May 1, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1503854
Data Last Modified 2019-05-10
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id cd55e99c-75c7-4972-8634-0299d3a3fe92
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)
Source Datajson Identifier True
Source Hash b4c74848c1a5d4f77088d48f7b7d76a0212c236a
Source Schema Version 1.1

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