The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Predicted Biological Condition
This dataset consists of predicted probabilities of good biological condition based in the US EPA 2008/2009 National Rivers and Streams Assessment (NRSA). NRSA assesses the biological condition of rivers and streams using several approaches, including a benthic invertebrate multimetric index (BMMI). The development of the NRSA BMMI is documented in the 2008/2009 NRSA Report (https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results) and by Stoddard et al. (2008) (http://www.bioone.org/doi/abs/10.1899/08-053.1). This assessment resulted in the classification of 1,380 streams as being in good or poor biological condition. These sites were paired with StreamCat data and a random forest model was developed to predict the probable condition of streams based on the binary response of condition to catchment and watershed features. This model was then applied to NHDPlusV2 stream segments that were within the NRSA sampling frame, i.e., streams that were candidates for sampling during the 2008/2009 NRSA (~1.1 million stream segments). Model development was documented in Fox et al. (2017) (https://link.springer.com/article/10.1007/s10661-017-6025-0) and Hill et al. (2017)(http://onlinelibrary.wiley.com/doi/10.1002/eap.1617/full).
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | R/P3Y |
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), Marc Weber",
"@type": "vcard:Contact",
"hasEmail": "mailto:weber.marc@epa.gov"
}
|
| dataQuality |
true
|
| describedBy | https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions |
| describedByType | text/html |
| description | This dataset consists of predicted probabilities of good biological condition based in the US EPA 2008/2009 National Rivers and Streams Assessment (NRSA). NRSA assesses the biological condition of rivers and streams using several approaches, including a benthic invertebrate multimetric index (BMMI). The development of the NRSA BMMI is documented in the 2008/2009 NRSA Report (https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results) and by Stoddard et al. (2008) (http://www.bioone.org/doi/abs/10.1899/08-053.1). This assessment resulted in the classification of 1,380 streams as being in good or poor biological condition. These sites were paired with StreamCat data and a random forest model was developed to predict the probable condition of streams based on the binary response of condition to catchment and watershed features. This model was then applied to NHDPlusV2 stream segments that were within the NRSA sampling frame, i.e., streams that were candidates for sampling during the 2008/2009 NRSA (~1.1 million stream segments). Model development was documented in Fox et al. (2017) (https://link.springer.com/article/10.1007/s10661-017-6025-0) and Hill et al. (2017)(http://onlinelibrary.wiley.com/doi/10.1002/eap.1617/full). |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "StreamCat Dataset",
"format": "API",
"accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset",
"describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
"description": "StreamCat currently contains over 600 metrics that include local catchment (Cat), watershed (Ws), and special metrics. The special metrics were derived through modeling or by combining other StreamCat metrics. These variables include predicted water temperature, predicted biological condition, and the indexes of catchment and watershed integrity. See Geospatial Framework and Terms below for definitions of catchment and watershed as used with the StreamCat Dataset.
These metrics are available for ~2.65 million stream segments and their associated catchments across the conterminous US. StreamCat metrics represent both natural (e.g., soils and geology) and anthropogenic (e.g, urban areas and agriculture) landscape information.",
"describedByType": "text/html"
},
{
"@type": "dcat:Distribution",
"title": "Predicted Biological Condition",
"format": "Comma-Separated Values (.csv)",
"mediaType": "text/csv",
"describedBy": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-metrics-and-definitions",
"description": "This dataset consists of predicted probabilities of good biological condition based in the US EPA 2008/2009 National Rivers and Streams Assessment (NRSA). NRSA assesses the biological condition of rivers and streams using several approaches, including a benthic invertebrate multimetric index (BMMI). The development of the NRSA BMMI is documented in the 2008/2009 NRSA Report (https://www.epa.gov/national-aquatic-resource-surveys/national-rivers-and-streams-assessment-2008-2009-results) and by Stoddard et al. (2008) (http://www.bioone.org/doi/abs/10.1899/08-053.1). This assessment resulted in the classification of 1,380 streams as being in good or poor biological condition. These sites were paired with StreamCat data and a random forest model was developed to predict the probable condition of streams based on the binary response of condition to catchment and watershed features. This model was then applied to NHDPlusV2 stream segments that were within the NRSA sampling frame, i.e., streams that were candidates for sampling during the 2008/2009 NRSA (~1.1 million stream segments). Model development was documented in Fox et al. (2017) (https://link.springer.com/article/10.1007/s10661-017-6025-0) and Hill et al. (2017)(http://onlinelibrary.wiley.com/doi/10.1002/eap.1617/full).",
"downloadURL": "https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data",
"describedByType": "text/html"
}
]
|
| identifier | 347BAA74-DA58-4F3D-BD51-7A424CAA8EBD |
| issued | 2015-04-23 |
| keyword |
[
"alabama",
"arizona",
"arkansas",
"california",
"colorado",
"connecticut",
"delaware",
"district of columbia",
"ecosystem",
"environment",
"florida",
"georgia",
"idaho",
"illinois",
"indiana",
"inlandwaters",
"iowa",
"kansas",
"kentucky",
"louisiana",
"maine",
"maryland",
"massachusetts",
"michigan",
"minnesota",
"mississippi",
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"montana",
"natural resources",
"nebraska",
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"new hampshire",
"new jersey",
"new mexico",
"new york",
"north carolina",
"north dakota",
"ohio",
"oklahoma",
"oregon",
"pennsylvania",
"rhode island",
"south carolina",
"south dakota",
"surface water",
"tennessee",
"texas",
"united states",
"united states of america",
"usa",
"utah",
"vermont",
"virginia",
"washington",
"west virginia",
"wisconsin",
"wyoming"
]
|
| landingPage | https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset |
| language |
[
"en-US"
]
|
| license | https://edg.epa.gov/EPA_Data_License.html |
| modified | 2023-11-13 |
| programCode |
[
"020:072"
]
|
| publisher |
{
"name": "U.S. Environmental Protection Agency, Office of Research and Development (ORD), Center for Public Health and Environmental Assessment (CPHEA), Pacific Ecological Systems Division (PESD), ",
"@type": "org:Organization"
}
|
| references |
[
"https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=347BAA74-DA58-4F3D-BD51-7A424CAA8EBD",
"https://www.epa.gov/national-aquatic-resource-surveys/streamcat-dataset#access-streamcat-data"
]
|
| rights | public (Data asset is or could be made publicly available to all without restrictions) |
| spatial | -125.0,24.5,-66.5,49.5 |
| temporal | 2015/2030 |
| theme |
[
"environment"
]
|
| title | The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Predicted Biological Condition |