Your browser doesn't support javascript.
loading
An EPA database on the effects of engineered nanomaterials-NaKnowBase.
Boyes, William K; Beach, Bradley; Chan, Gayle; Thornton, B Lila M; Harten, Paul; Mortensen, Holly M.
Afiliación
  • Boyes WK; Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, 109 T.W. Alexander Drive, Research Triangle Park, Durham, NC, 27709, USA.
  • Beach B; Oak Ridge Institute for Science and Education (ORISE) appointee at Office of Research and Development, US Environmental Protection Agency Research Triangle Park, Durham, NC, 27709, USA.
  • Chan G; Oak Ridge Institute for Science and Education (ORISE) appointee at Office of Research and Development, US Environmental Protection Agency Research Triangle Park, Durham, NC, 27709, USA.
  • Thornton BLM; Evans School of Public Policy and Governance, University of Washington, Seattle, WA, USA.
  • Harten P; Department of Civil & Environmental Engineering, Duke University, Durham, NC, 27708, USA.
  • Mortensen HM; Center for Computational Toxicology and Exposure, Office of Research and Development, U.S. Environmental Protection Agency, 26 West Martin Luther King Drive, MS 483, Cincinnati, Ohio, 45268, USA.
Sci Data ; 9(1): 12, 2022 01 20.
Article en En | MEDLINE | ID: mdl-35058454
ABSTRACT
The US EPA Office of Research and Development (ORD) has conducted a research program assessing potential risks of emerging materials and technologies, including engineered nanomaterials (ENM). As a component of that program, a nanomaterial knowledge base, termed "NaKnowBase", was developed containing the results of published ORD research relevant to the potential environmental and biological actions of ENM. The experimental data address issues such as ENM release into the environment; fate, transport and transformations in environmental media; exposure to ecological species or humans; and the potential for effects on those species. The database captures information on the physicochemical properties of ENM tested, assays performed and their parameters, and the results obtained. NaKnowBase (NKB) is a relational SQL database, and may be queried either with SQL code or through a user-friendly web interface. Filtered results may be output in spreadsheet format for subsequent user-defined analyses. Potential uses of the data might include input to quantitative structure-activity relationships (QSAR), meta-analyses, or other investigative approaches.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sci Data Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos