Data for Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies..."
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1 resource available
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Turleyetal_for_sciencehub.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
Complete Metadata
| 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..." |