Pseudo-Probabilistic Framework Demonstration Datasets 2024
Resources
3 resources available
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https://doi.org/10.1007/s10661-024-12877-8
FILE -
https://floridadep.gov/dear/watershed-services-program/content/winstoret
FILE -
https://www.epa.gov/national-aquatic-resource-surveys/ncca
FILE
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Linda Harwell", "hasEmail": "mailto:harwell.linda@epa.gov" } |
| description | Raw data sources and link to supplementary demonstration results data. This dataset is associated with the following publication: Harwell, L., C. McMillion, A. Lamper, and J.K. Summers. Development of a generalized pseudo-probabilistic approach for characterizing ecological conditions in estuaries using secondary data. ENVIRONMENTAL MONITORING AND ASSESSMENT. Springer, New York, NY, USA, 196(8): 753, (2024). |
| distribution |
[ { "title": "https://doi.org/10.1007/s10661-024-12877-8", "accessURL": "https://doi.org/10.1007/s10661-024-12877-8" }, { "title": "https://floridadep.gov/dear/watershed-services-program/content/winstoret", "accessURL": "https://floridadep.gov/dear/watershed-services-program/content/winstoret" }, { "title": "https://www.epa.gov/national-aquatic-resource-surveys/ncca", "accessURL": "https://www.epa.gov/national-aquatic-resource-surveys/ncca" } ] |
| identifier | https://doi.org/10.23719/1531663 |
| keyword |
[ "NCCA", "Secondary data", "assessment", "estuary", "probabilistic" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2024-06-12 |
| programCode |
[ "020:000" ] |
| 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/10.1007/s10661-024-12877-8", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11271375" ] |
| rights |
null
|
| title | Pseudo-Probabilistic Framework Demonstration Datasets 2024 |