Specific Conductivity Stream Network Predictions Eastern Kentucky Watershed Data, Code and HTML
This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome.
This dataset is associated with the following publication:
McManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 39(4): 1-18, (2020).
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Michael McManus",
"hasEmail": "mailto:mcmanus.michael@epa.gov"
}
|
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1518673/documents/DataDictionary_SpatialStreamNetworkModeling_RFBC_KentuckyWatershed.docx |
| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| description | This data is for 60 water quality monitoring sites in the Right Fork of Beaver Creek watershed in Eastern Kentucky where specific conductivity (SC) was measured quarterly for two years from December 2012 to August 2014. SC was modeled as a function of land use covariates and spatial autocorrelation between sites on the stream network, and by doing so we could compare predictions of the average SC for different portions of the network and identify areas of low and high SC. The htmls files can be opened with a browser such as Internet Explorer or Chrome. This dataset is associated with the following publication: McManus, M., E. DAmico, E. Smith, R. Polinsky, J. Ackerman, and K. Tyler. Variation in stream network relationships and geospatial predictions of watershed conductivity. Freshwater Science. The Society for Freshwater Science, Springfield, IL, 39(4): 1-18, (2020). |
| distribution |
[
{
"title": "Model_Predict_S1.zip",
"mediaType": "application/zip",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1518673/Model_Predict_S1.zip"
}
]
|
| identifier | https://doi.org/10.23719/1518673 |
| keyword |
[
"Specific Conductivity",
"spatial autocorrelation",
"stream networks",
"water quality"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2020-05-11 |
| programCode |
[
"020:096"
]
|
| 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/10.1086/710340"
]
|
| rights |
null
|
| title | Specific Conductivity Stream Network Predictions Eastern Kentucky Watershed Data, Code and HTML |
