Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels (ORD-034452)

The data used are from curation of legacy studies and stored in ToxRefDB.

This dataset is associated with the following publication: Pham, L.L., S. Watford, P. Pradeep, M. Martin, R. Thomas, R. Judson, W. Setzer, and K. Paul-Friedman. Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 15(August 2020): 100126, (2020).

Data and Resources

ftp://newftp.epa.gov/comptox/CCTE_Publication_D...
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Additional Info

Field	Value
Maintainer	Katie Friedman
Last Updated	March 6, 2021, 14:38 (EST)
Created	March 6, 2021, 14:38 (EST)
Identifier	https://doi.org/10.23719/1518556
Modified	2020-01-13
accessLevel	public
bureauCode	{020:00}
catalog_conformsTo	https://project-open-data.cio.gov/v1.1/schema
encoding	utf8
harvest_url	http://catalog.data.gov/dataset/1a8347d3-6abe-4150-a06e-273051b4994f
license	https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html
programCode	{020:095}
publisher	U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy	U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references	{https://doi.org/10.1016/j.comtox.2020.100126}
resource-type	Dataset
source_datajson_identifier	true
source_hash	8b49ba97ee9a2a265255a0e267bc438ee5a2e992
source_schema_version	1.1