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Groundwater data, predictor variables, and rasters used for predicting the probability of high arsenic and high manganese in the Glacial Aquifer System, northern continental United States This data release contains input data used in model development and TIF raster files used to predict the probability of high arsenic (As) and high manganese (Mn) in groundwater within the glacial aquifer system in the northern United States. Input data include measured As and Mn concentrations at groundwater wells, and associated predictor variable data. The probability of high As and high Mn was predicted using boosted regression tree methods using the gbm package in R version 4.0.0. The response variables for individual models were the occurrence of: (1) As >10 µg/L, and (2) Mn >300 µg/L. Water-quality data were compiled from three sources, as described in Wilson and others (2019): a compilation of data from numerous... Categories: Data; Tags: Connecticut, Idaho, Illinois, Indiana, Iowa, All tags... Kansas, Maine, Massachusetts, Michigan, Minnesota, Missouri, Montana, NAWQA, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, USGS Science Data Catalog (SDC), Vermont, Washington, Water Quality, Water Resources, Wisconsin, aquifer system, arsenic, drinking water use, glacial aquifer system, groundwater, hydrogeology, manganese, water quality, Fewer tags Chemicals of Emerging Concern in Water and Bottom Sediment in Great Lakes Areas of Concern, 2013—Analytical Methods, Collection Methods, Environmental Data, and Quality Assurance The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and the U.S. Environmental Protection Agency (EPA), identified the occurrence of contaminants of emerging concern (CECs) in water and bottom sediment collected in 2013 at 57 sites throughout the Great Lakes Basin. The 2013 effort is part of a long-term study that began in 2010. Included in this directory are references to or descriptions of analytical methods used, collection methods, environmental data, and associated quality-assurance data for samples collected in 2013. Samples were collected from April through October 2013 by USGS, USFWS, and/or EPA personnel. Study sites include tributaries to the Great Lakes... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Area of Concern, Area of Concern, Emerging Contaminants, Emerging Contaminants, Great Lakes, All tags... Great Lakes Area of Concern, Great Lakes Restoration Initiative, Great Lakes Restoration Initiative, Toxicology, Toxicology, USGS Science Data Catalog (SDC), Water Quality, Fewer tags Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States This data release contains input data used in model development and TIF raster files used to predict the probability of low dissolved oxygen (DO) and high dissolved iron (Fe) in groundwater within the glacial aquifer system in the northern continental United States. Input data include measured DO and Fe concentrations at groundwater wells, and associated predictor variable data. The probability of low DO and high Fe was predicted using boosted regression tree methods using the gbm package in R (v. 4.0.0) in RStudio (v. 1.2.5042). The response variables for individual models were the occurrence of: (1) DO ≤0.5 mg/L, (2) DO ≤2 mg/L, and (3) Fe >100 µg/L. Water-quality data were compiled from three sources, as described... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Connecticut, Geochemistry, Hydrology, Idaho, Illinois, All tags... Indiana, Iowa, Kansas, Maine, Massachusetts, Michigan, Minnesota, Missouri, Montana, NAWQA, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, USGS Science Data Catalog (SDC), Vermont, Washington, Water Quality, Wisconsin, aquifer system, drinking water use, glacial aquifer system, groundwater, hydrogeology, iron, oxygen content (water), water quality, Fewer tags Data for machine learning predictions of pH in the glacial aquifer system, northern USA A boosted regression tree (BRT) model was developed to predict pH conditions in three-dimensions throughout the glacial aquifer system (GLAC) of the contiguous United States using pH measurements in samples from 18,258 wells and predictor variables that represent aspects of the hydrogeologic setting. Model results indicate that the carbonate content of soils and aquifer materials strongly controls pH and when coupled with long flow paths, results in the most alkaline conditions. Conversely, in areas where glacial sediments are thin and carbonate-poor, pH conditions remain acidic. At depths typical of drinking-water supplies, predicted pH > 7.5 – which is associated with arsenic mobilization – occurs more frequently... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Boosted regression trees, Calcite saturation index, Connecticut, Geochemistry, Geochemistry, All tags... Glacial aquifer system, Groundwater, Groundwater corrosivity, Hydrology, Idaho, Illinois, Indiana, Iowa, Kansas, Machine learning, Maine, Massachusetts, Michigan, Minnesota, Missouri, Montana, NAWQA, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, USGS Science Data Catalog (SDC), Vermont, Washington, Water Quality, Wisconsin, pH, Fewer tags Contaminant Data from a Survey of Minnesota Source and Finished Drinking Waters, 2019-2022 The U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to determine the occurrence of unregulated contaminants in source and finished drinking waters throughout Minnesota. Minnesota relies on both groundwater and surface water sources for drinking water, which may be vulnerable to influences such as wastewater discharge and/or agricultural activities. Thus, drinking water facilities apply some form of treatment to source waters prior to distribution. Although drinking water treatment is mostly focused on satisfying regulatory requirements, it may provide secondary benefits for removal of unregulated contaminants. In 2019, 2021, and 2022, paired source and finished drinking... Categories: Data; Tags: Environmental Health, Minnesota, USGS Science Data Catalog (SDC), Water Quality, Water Resources, All tags... groundwater quality, non-point source pollution, pesticide and herbicide contamination, pharmaceutical contamination, surface water quality, Fewer tags Pesticides, pharmaceuticals, and wastewater indicator compounds in water and bottom sediment samples collected from Great Lake tributaries, 2019 This dataset consists of select contaminants of emerging concern (CEC) including pesticides and transformation products, pharmaceuticals and transformation products, and wastewater indicator compound results measured in 131 surface water, 129 bottom sediment, 7 field replicate, and 6 field blank samples collected from 131 sites located on 27 tributaries of the Great Lakes during the summer of 2019. Samples were analyzed at the U.S. Geological Survey National Water Quality Laboratory (NWQL). Surface water samples were collected and analyzed for 238 pesticides, pesticide transformation products, and surrogate compounds (NWQL laboratory schedule 2437; Sandstrom and others, 2015), 152 pharmaceuticals, pharmaceutical... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Au Gres River, Buffalo River, Cattaraugus River, Chippewa River, East Twin River, All tags... Eighteenmile River, Elk River, Escanaba River, Galien River, Genesee, Grand River, Great Lakes, Huron River, Indiana, Johnson, Lake Erie, Lake Huron, Lake Michigan, Lake Ontario, Manistee River, Manistique River, Michigan, New York, Oak Orchard, Ohio, Ontonagon River, Pennsylvania, Pinnebog River, Root River, Saginang River, Saint Joseph River, Salt River, Seney Refuge River, Tonawanda River, USGS Science Data Catalog (SDC), Vermillion River, West Twin River, Whitefish, Wisconsin, contamination and pollution, dissolved contaminants, none, pesticide and herbicide contamination, pharmaceutical contamination, surface water quality, water quality, Fewer tags Surface water and bottom sediment chemical data and landscape variable input datasets for predicting the occurrence of chemicals of emerging concern in 25 U.S. river basins in the Great Lakes basin This data release includes concentrations of contaminants of emerging concern (CEC), by chemical class, for sites sampled within 25 river basins in the U.S. portion of the Great Lakes basin and associated watershed characteristics. The CEC data include concentrations in surface water and sediment samples that were collected during 2010-2014. During the first 3 years, sample sites near mostly urban areas were chosen. The last two years of study focused on other point sources and few nominal reference sites. Water and sediment samples were analyzed for a diverse suite of CECs including, but not limited to, pharmaceuticals, industrial chemicals, flame retardants, pesticides, fragrances, and plasticizers. Statistical... Tags: Environmental Health, Great Lakes, Illinois, Michigan, Minnesota, All tags... Model Archive, NewYork, Ohio, USGS Science Data Catalog (SDC), Water Quality, Water Resources, Wisconsin, boosted regression tree, freshwater, non-point source pollution, pesticide and herbicide contamination, pharmaceutical contamination, sediment, surface water, water resources, Fewer tags Chemicals of Emerging Concern and Fish Biological Endpoints Data Collected From Select Tributaries of the St. Croix River, Minnesota and Wisconsin, 2011-12 The U.S. Geological Survey, National Park Service, St. Cloud State University, and the University of St. Thomas conducted a cooperative study to investigate the occurrence of chemicals of emerging concern (CECs) and potential effects to aquatic biota in select tributaries of the St. Croix River in Minnesota and Wisconsin. In 2011, treated wastewater effluent samples were collected from 22 sites in the St. Croix River Basin to determine total estrogenic activity. In 2012, wastewater effluent was collected at five select locations based on total estrogenicity and analyzed for CECs. In addition, surface water, bottom sediment, resident fish, and resident crayfish were collected upstream and downstream from effluent... Categories: Data; Types: Citation; Tags: St. Croix National Scenic Riverway, USGS Science Data Catalog (SDC), Water Quality, emerging contaminants, fish effects, All tags... surface water, Fewer tags Concentrations and laboratory quality-assurance data for six unregulated contaminants measured in source and finished drinking-water samples collected from public water systems throughout Minnesota by using ELISA and MS-based analytical methods The U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to determine the occurrence of six unregulated contaminants in source and finished drinking-water samples collected from 67 public water supply systems throughout Minnesota. Minnesota relies on groundwater and surface water sources for drinking water. Land use, such as wastewater discharge and agriculture, is a factor that determines groundwater and surface water quality. The public water supply systems were categorized based on whether the source water is from surface water or groundwater. Groundwater sites were further categorized by expected sources of contamination based on land use: wastewater, agriculture,... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Minnesota, USGS Science Data Catalog (SDC), Water Quality, Water Resources, drinking water use, All tags... groundwater quality, nonpoint-source pollution, pesticide and herbicide contamination, pharmaceutical contamination, surface water quality, Fewer tags Plain pocketbook (Lampsilis cardium) glochidia counts and transformation rates collected during laboratory exposures to agriculture and urban contaminant mixtures and measured contaminant concentrations, 2018 This data release includes datasets provided by the Woolnough Laboratory at Central Michigan University. These data were collected as a part of a laboratory exposure experiment, conducted in 2018, examining the effects of agricultural and urban contaminant mixtures on two life stages (larval and juvenile) of the freshwater mussel, plain pocketbook (Lampsilis cardium), using largemouth bass (Micropterus salmoides) as the host fish. Contaminant mixtures were representative of contaminants frequently detected in agricultural and urban settings. Agricultural contaminant mixtures consisted of bromacil, estrone, metolachlor, tri(butoxyethyl) phosphate, 4-nonylphenol, atrazine, N,N-diethyl-meta-toluamide (DEET), and bisphenol... Categories: Data; Tags: Aquatic Biology, USGS Science Data Catalog (SDC), Water Resources, biota, contamination and pollution, All tags... laboratory experiments, pesticide and herbicide contamination, pharmaceutical contamination, surface water (non-marine), Fewer tags