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Nassau Co. cleaned data
Data used for modeling and ms. preparation.
This dataset is associated with the following publication:
Myer, M., and J. Johnston. Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 650(2): 2818-2829, (2019).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "John Johnston",
"hasEmail": "mailto:johnston.johnm@epa.gov"
}
|
| description | Data used for modeling and ms. preparation. This dataset is associated with the following publication: Myer, M., and J. Johnston. Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 650(2): 2818-2829, (2019). |
| distribution |
[
{
"title": "NassauDataWithAllVariables.csv",
"mediaType": "application/vnd.ms-excel",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503090/NassauDataWithAllVariables.csv"
}
]
|
| identifier | https://doi.org/10.23719/1503090 |
| keyword |
[
"Bayesian",
"Spatiotemporal",
"West Nile",
"arboviral",
"vector-borne disease"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-10-17 |
| programCode |
[
"020:097"
]
|
| 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.scitotenv.2018.09.397"
]
|
| rights |
null
|
| title | Nassau Co. cleaned data |
