Monte Carlo draws for diazinon & chlorpyrifos for annual, seasonal, wet, and dry scenarios
Results from Monte Carlo draws of chlorpyrifos and diazinon exposure concentrations for 4 scenarios as described in manuscript.
This dataset is associated with the following publication:
Oliver, L., S. Sinnathamby, S. Purucker, and S. Raimondo. A probabilistic approach to chronic effects assessments for listed species in a vernal pool case study. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(5): 1654-1666, (2024).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Leah Oliver",
"hasEmail": "mailto:oliver.leah@epa.gov"
}
|
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1530708/documents/Data%20Dictonary.xlsx |
| describedByType | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
| description | Results from Monte Carlo draws of chlorpyrifos and diazinon exposure concentrations for 4 scenarios as described in manuscript. This dataset is associated with the following publication: Oliver, L., S. Sinnathamby, S. Purucker, and S. Raimondo. A probabilistic approach to chronic effects assessments for listed species in a vernal pool case study. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 20(5): 1654-1666, (2024). |
| distribution |
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|
| identifier | https://doi.org/10.23719/1530708 |
| keyword |
[
"Acute to Chronic Effects ratios",
"listed species",
"pesticides",
"probabilistic risk assessment"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2024-04-12 |
| programCode |
[
"020:000"
]
|
| 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/10.1002/ieam.4932"
]
|
| rights |
null
|
| title | Monte Carlo draws for diazinon & chlorpyrifos for annual, seasonal, wet, and dry scenarios |
