Item talk:Q327774
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{
"DOI": { "doi": "10.5066/f73t9gg9", "prefix": "10.5066", "suffix": "f73t9gg9", "identifiers": [], "alternateIdentifiers": [], "creators": [ { "name": "Sando, Thomas R.", "nameType": "Personal", "givenName": "Thomas R.", "familyName": "Sando", "affiliation": [], "nameIdentifiers": [ { "nameIdentifier": "https://orcid.org/0000-0003-0704-6258", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Olsen, Theresa D.", "nameType": "Personal", "givenName": "Theresa D.", "familyName": "Olsen", "affiliation": [], "nameIdentifiers": [ { "nameIdentifier": "https://orcid.org/0000-0003-4099-4057", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Kaiser, Kendra E.", "nameType": "Personal", "givenName": "Kendra E.", "familyName": "Kaiser", "affiliation": [], "nameIdentifiers": [] }, { "name": "Haluska, Tana L.", "nameType": "Personal", "givenName": "Tana L.", "familyName": "Haluska", "affiliation": [], "nameIdentifiers": [ { "nameIdentifier": "https://orcid.org/0000-0001-6307-4769", "nameIdentifierScheme": "ORCID" } ] }, { "name": "Hockman-Wert, David", "nameType": "Personal", "givenName": "David", "familyName": "Hockman-Wert", "affiliation": [], "nameIdentifiers": [ { "nameIdentifier": "https://orcid.org/0000-0003-2436-6237", "nameIdentifierScheme": "ORCID" } ] } ], "titles": [ { "title": "Climatic CPGs -- Probability of Streamflow Permanence (PROSPER) Continuous Parameter Grids (CPGs)" } ], "publisher": "U.S. Geological Survey", "container": {}, "publicationYear": 2018, "subjects": [], "contributors": [], "dates": [ { "date": "2018", "dateType": "Issued" } ], "language": null, "types": { "ris": "DATA", "bibtex": "misc", "citeproc": "dataset", "schemaOrg": "Dataset", "resourceType": "Dataset", "resourceTypeGeneral": "Dataset" }, "relatedIdentifiers": [], "relatedItems": [], "sizes": [], "formats": [], "version": null, "rightsList": [], "descriptions": [ { "description": "The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions for 2004-2016 at a 30-m spatial resolution based on monthly or annually updated values of climatic conditions and static physiographic variables associated with the upstream basin. These values and variables, known as Continuous Parameter Grids, or CPGs, were used as the predictor variables in the model. The CPGs referenced from this page are climatic, including evapotranspiration, precipitation, soil water equivalent, and temperature.", "descriptionType": "Abstract" } ], "geoLocations": [], "fundingReferences": [], "xml": "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", "url": "https://www.sciencebase.gov/catalog/item/5a789beee4b00f54eb1e8378", "contentUrl": null, "metadataVersion": 0, "schemaVersion": "http://datacite.org/schema/kernel-4", "source": "mds", "isActive": true, "state": "findable", "reason": null, "viewCount": 0, "viewsOverTime": [], "downloadCount": 0, "downloadsOverTime": [], "referenceCount": 0, "citationCount": 0, "citationsOverTime": [], "partCount": 0, "partOfCount": 0, "versionCount": 0, "versionOfCount": 0, "created": "2018-12-13T22:21:09.000Z", "registered": "2018-12-13T22:21:11.000Z", "published": "2018", "updated": "2020-09-20T09:18:55.000Z" }
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