Data for Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies..."
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Turleyetal_for_sciencehub.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Kristin Isaacs", "hasEmail": "mailto:isaacs.kristin@epa.gov" } |
| description | Data for publication Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies in toxicity testing and exposure assessment: a case study on food contact chemicals". Includes food concentration predictions from the model of Biryol et al. (2017) and SHEDS-HT exposure predictions. This dataset is associated with the following publication: Turley, A., K. Isaacs, B. Wetmore, A. Karmaus, M. Embry, and M. Krishan. Incorporating new approach methodologies in toxicity testing and exposure assessment for tiered risk assessment using the RISK21 approach: Case studies on food contact chemicals. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 134: 110819, (2019). |
| distribution |
[ { "title": "Turleyetal_for_sciencehub.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503448/Turleyetal_for_sciencehub.xlsx" } ] |
| identifier | https://doi.org/10.23719/1503448 |
| keyword |
[ "ExpoCast", "SHEDS", "chemical prioritization", "exposure", "food contact substances", "food packaging", "high throughput" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-03-07 |
| programCode |
[ "020:095" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
[ "https://doi.org/10.1016/j.fct.2019.110819" ] |
| rights |
null
|
| title | Data for Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies..." |