{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Adam Stonewall", "hasEmail": "mailto:stonewal@usgs.gov"}, "description": "Stochastic Empirical Loading and Dilution Model (SELDM) utilizes Microsoft Access databases to build and run model simulations. The compiled database was used for all simulations related to 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", "accessURL": "https://doi.org/10.5066/P9Y6YWG9", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5d03d46ce4b0e3d31158059b.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5d03d46ce4b0e3d31158059b", "keyword": ["Bear Creek", "Mill Creek", "Oregon", "USGS:5d03d46ce4b0e3d31158059b", "biota", "copper", "phosphorus", "sediment transport", "suspended material (water)"], "modified": "2024-01-18T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-124.5500, 41.9800, -116.4600, 46.2700", "theme": ["geospatial"], "title": "Stochastic Empirical Loading and Dilution Model in MS Access created for U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053"}