Examining the impacts of increased corn production on groundwater quality using a coupled modeling system
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FertilizerComparisonScenario2_SciHub.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Valerie Cover", "hasEmail": "mailto:garcia.val@epa.gov" } |
| describedBy | https://pasteur.epa.gov/uploads/492/documents/FertilizerScenarioComparison2_data_dic.docx |
| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| description | This dataset was used to create graphics associated with manuscript: Garcia et al., Examining the impacts of increased corn production on groundwater quality using a coupled modeling system, 2017, Science of the Total Environment. This dataset is associated with the following publication: Garcia, V., E. Cooter, J. Crooks, B. Hinckley, M. Murphy, and X. Xing. Examining the impacts of increased corn production on groundwater quality using a coupled modeling system. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 586: 16-24, (2017). |
| distribution |
[ { "title": "FertilizerComparisonScenario2_SciHub.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/492/FertilizerComparisonScenario2_SciHub.xlsx" } ] |
| identifier | A-hdrn-492 |
| keyword |
[ "EPIC", "groundwater", "irrigated corn", "nitrate in groundwater", "nitrogen" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2017-02-07 |
| 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.2017.02.009" ] |
| rights |
null
|
| title | Examining the impacts of increased corn production on groundwater quality using a coupled modeling system |