Filters: Types: OGC WFS Layer (X) > Categories: Data (X) > Types: OGC WMS Layer (X) > partyWithName: Sarah M Elliott (X)

Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Map Service (5) OGC WMS Service (5) Contacts Water Resources U.S. Geological Survey Aliesha L Krall U.S. Geological Survey - ScienceBase Craig Brown More... Tag Types Place (5) Theme (5) USGS Scientific Topic Keyword (5) Harvest Set (5) Label (1) Tag Schemes None (3) Geographic Names Information System (GNIS) (1) Common geographic areas (1) USGS Thesaurus (3) GNIS (1) View Results as: JSON ATOM CSV

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 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 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