Datasets for manuscript "COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities."

https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles * These folders supply supporting datasets for the manuscript "COW2NUTRIENT: An environmental GIS-based decision support tool for the assessment of nutrient recovery systems in livestock facilities." * The datasets are recorder as comma-separated values (.csv) and Microsoft Excel® (.xlsx) files. Column data entries have names and units. Some data are about animal facility population and location, amount of nutrient-rich waste generated (kg/yr), amount of nutrient recovered (kg P/yr), installing, capital, and maintenance costs (USD), technologies and their ranking and frequency of being selected for each combination of normalization-aggregation methods, average chlorophyll-a concentration in water in the watershed (ug/L), and average phosphorus concentration in water in the watershed (ug/L). * The folder “Manuscript” has subfolders with datasets for creating manuscript Figures 4, 8, 9, and 10 as well as datasets for Tables 9 and 10. * The folder “Supplementary Material” holds subfolders with datasets for creating Supplementary Material Figures 1-5, 8, 9, 11, and 12. This dataset is associated with the following publication: Martin-Hernandez, E., M. Martin, and G.J. Ruiz-Mercado. A geospatial environmental and techno-economic framework for sustainable phosphorus management at livestock facilities. Resources, Conservation and Recycling. Elsevier Science BV, Amsterdam, NETHERLANDS, 175: 105843, (2021).

[
  "020:00"
]

{
  "fn": "Gerardo Ruiz-Mercado",
  "hasEmail": "mailto:ruiz-mercado.gerardo@epa.gov"
}

[
  {
    "title": "https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles",
    "accessURL": "https://github.com/gruizmer/COW2NUTRIENT/tree/master/ToolPaper_DataFiles"
  }
]

[
  "Harmful Algal Bloom (HAB)",
  "Nutrient legacy",
  "Nutrient loading",
  "energy recovery",
  "geospatial environmental sensitivity",
  "livestock facility",
  "modeling and optimization",
  "multi-criterion decision making analysis",
  "nutrient pollution",
  "organic waste",
  "quantitative indicators",
  "supply chain",
  "sustainability analysis",
  "techno-economic models"
]

[
  "020:097"
]

{
  "name": "U.S. EPA Office of Research and Development (ORD)",
  "subOrganizationOf": {
    "name": "U.S. Environmental Protection Agency",
    "subOrganizationOf": {
      "name": "U.S. Government"
    }
  }
}

[
  "https://doi.org/10.1016/j.resconrec.2021.105843"
]

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