State-level comparisons of annual soil loss between our calculated Revised Universal Soil Loss Equation (RUSLE) estimates and those reported by the USDA National Resources Inventory (NRI)
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Fig1.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Anne Neale",
"hasEmail": "mailto:neale.anne@epa.gov"
}
|
| description | In the associated manuscript, we used the State-level National Resources Inventory (NRI) annual estimates of sheet and rill erosion to calibrate our RUSLE-derived estimates. This data set provides the data used in and resulting from that calibration. The data set relates to Figs 1 a-d in the manuscript. This dataset is associated with the following publication: Woznicki, S., P. Cada, J. Wickham, M. Schmidt, J. Baynes, M. Mehaffey, and A. Neale. Sediment retention by natural landscapes in the conterminous United States. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 745: 140972, (2020). |
| distribution |
[
{
"title": "Fig1.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1519120/Fig1.xlsx"
}
]
|
| identifier | https://doi.org/10.23719/1519120 |
| keyword |
[
"EnviroAtlas",
"RUSLE",
"ecosystem services",
"sediment delivery ratio",
"soil erosion",
"soil retention"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-07-24 |
| 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.2020.140972"
]
|
| rights |
null
|
| title | State-level comparisons of annual soil loss between our calculated Revised Universal Soil Loss Equation (RUSLE) estimates and those reported by the USDA National Resources Inventory (NRI) |