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This data release consists of statistical predictions of daily salinity time series generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope includes the predictions for 91 locations within bays and estuaries of the Gulf of Mexico, United States. The 91 locations are organized across 15 salinity groups and represented in the organizational structure of this data release. The input data files of imputed salinity (observations, response variable) and covariates (predictor variables)...
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The ascii grids represent regional probabilities that groundwater in a particular location will have dissolved oxygen (DO) concentrations less than selected threshold values representing anoxic groundwater conditions or will have dissolved manganese (Mn) concentrations greater than selected threshold values representing secondary drinking water-quality contaminant levels (SMCL) and health-based screening levels (HBSL) for water quality. The probability models were constrained by the alluvial boundary of the Central Valley to a depth of approximately 300 meters (m). We utilized prediction modeling methods, specifically boosted regression trees (BRT) with a Bernoulli error distribution within a statistical learning...
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In 2021 and 2022, the U.S. Geological Survey (USGS), in cooperation with the Idaho Department of Water Resources (IDWR), drilled and constructed well SEP 16 (431900112593601) approximately 6 miles south-southeast of Big Southern Butte in Butte County, Idaho. The purpose of the well installation was to collect geologic, geophysical, and hydrologic data. On July 13, 2022, the USGS Idaho National Laboratory Project Office (INLPO) collected select geophysical logs within the cased well including natural gamma, neutron, neutron porosity, and gamma-gamma dual density logs. Gyroscopic deviation data were also collected during geophysical surveying to account for the horizontal and vertical displacement of the well. On...
    map background search result map search result map Probability distribution grids of dissolved oxygen and dissolved manganese concentrations at selected thresholds in drinking water depth zones, Central Valley, California Drilling, construction, geophysical, water quality, and aquifer test data for well SEP 16, Butte County, Idaho Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021 Probability distribution grids of dissolved oxygen and dissolved manganese concentrations at selected thresholds in drinking water depth zones, Central Valley, California Modeled daily salinity derived from multiple machine learning methodologies for 91 salinity monitoring sites in the northern Gulf of Mexico, 1980–2021