R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "Adam Stonewall",
"@type": "vcard:Contact",
"hasEmail": "mailto:stonewal@usgs.gov"
}
|
| description | This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2018, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053 |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P9Y6YWG9",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5d03d6fee4b0e3d3115805d6.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_5d03d6fee4b0e3d3115805d6 |
| keyword |
[
"Bear Creek",
"Mill Creek",
"Oregon",
"USGS:5d03d6fee4b0e3d3115805d6",
"biota",
"copper",
"phosphorus",
"sediment transport",
"suspended material (water)"
]
|
| modified | 2024-01-18T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -124.5500, 41.9800, -116.4600, 46.2700 |
| theme |
[
"geospatial"
]
|
| title | R programming code for analyzing output from the Stochastic Empirical Loading Dilution Model created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053 |
