{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Scott C Worland", "hasEmail": "mailto:scworland@usgs.gov"}, "description": "This data release provides the data and R scripts used for the 2018 publication titled \"Improving predictions of hydrological low-flow indices in ungaged basins using machine learning\", Environmental Modeling and Software, https://doi.org/10.1016/j.envsoft.2017.12.021. There are two .csv files and 14 R-scripts included below. The lowflow_sc_ga_al_gagesII_2015.csv datafile contains the annual minimum seven-day mean streamflow with an annual exceedance probability of 90% (7Q10) for 224 basins in South Carolina, Georgia, and Alabama. The datafile also contains 231 basin characteristics from the Gages II dataset (https://water.usgs.gov/lookup/getspatial?gagesII_Sept2011). The \"all_preds.csv\" file contains the leave-one-out cross validated predictions for all the models. The paper associated with the data release compares the ability of eight machine-learning models (elastic net, gradient boosting, kernel-k-nearest neighbors, two variants of support vector machines, M5-cubist, random forest, and a meta-learning ensemble M5-cubist model) and four baseline models (ordinary kriging, a unit-area discharge model, and two variants of censored regression) to generate estimates of the 7Q10 at 224 unregulated sites in South Carolina, Georgia, and Alabama.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/F7CR5S4T", "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.594c4fbae4b062508e3857c6.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_594c4fbae4b062508e3857c6", "keyword": ["Alabama", "Georgia", "South Carolina", "USGS:594c4fbae4b062508e3857c6", "low-flow", "machine learning", "regionalization", "statistical modeling", "streamflow"], "modified": "2020-08-21T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-88.967285156335, 29.87361281758, -77.673339844286, 35.634621048638", "theme": ["geospatial"], "title": "7Q10 records and basin characteristics for 224 basins in South Carolina, Georgia, and Alabama (2015)"}