McCaffrey et al. 2022 Metafile for data repository
Resources
3 resources available
-
https://github.com/epaulukonis/probabilistic_crop_McCaffrey
FILE -
Prob_latlon.zip
APPLICATION/ZIP -
UDL_latlon.zip
APPLICATION/ZIP
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Leah Oliver", "hasEmail": "mailto:oliver.leah@epa.gov" } |
| description | Metafile contains github links for R code and input datasets (including those generated in our analysis and those publicly available) for probabilistic and deterministic crop footprint generation and field-level simulation analysis. This dataset is associated with the following publication: McCaffrey, K., E. Paulukonis, S. Raimondo, S. Sinnathamby, S. Purucker, and L. Oliver. A multi-scale approach for identification of potential pesticide use sites impacting vernal pool critical habitat in California. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 857(1): 159274, (2023). |
| distribution |
[ { "title": "https://github.com/epaulukonis/probabilistic_crop_McCaffrey", "accessURL": "https://github.com/epaulukonis/probabilistic_crop_McCaffrey" }, { "title": "Prob_latlon.zip", "mediaType": "application/zip", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528697/Prob_latlon.zip" }, { "title": "UDL_latlon.zip", "mediaType": "application/zip", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1528697/UDL_latlon.zip" } ] |
| identifier | https://doi.org/10.23719/1528697 |
| keyword |
[ "California vernal pool", "Crop Footprint", "ecological risk assessment", "pesticide co-occurrence" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2023-03-20 |
| 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/10.1016/j.scitotenv.2022.159274", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884490" ] |
| rights |
null
|
| title | McCaffrey et al. 2022 Metafile for data repository |