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The Stream Conditions of Chester County Biological Monitoring Network was established by the U.S. Geological Survey and the Chester County Water Resources Authority in 1969. Benthic-macroinvertebrate, habitat, and stream chemistry data were collected annually from 1998-2021 at 18 fixed location sites. Additionally, nine flexible location sites were selected and sampled annually from 1998-2021. Some of the flexible location sites were sampled more than once over the study period. All data were collected in the fall months (October-November) during baseflow conditions. The benthic-macroinvertebrate data collected was used to calculate six metrics and to establish an index of biotic integrity for each sample, while...
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From August 2018 to October 2019, the U.S. Geological Survey collected spatially high-resolution water quality data as part of five shoreline synoptic surveys around the perimeters of Owasco, Seneca, and Skaneateles Lakes within the Finger Lakes Region of New York. Water-quality data were collected just below water surface utilizing YSI EXO2 multiparameter sondes and portable nitrate sensors paired with real-time GPS data as part of a HABs monitoring program in the Finger Lakes. In October 2019, water-quality data collection was paired with discrete phytoplankton grab samples on Owasco Lake and Seneca Lake. Phytoplankton grab samples were collected just below water surface with a peristaltic pump at twelve locations...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Aquatic Biology, Contaminants, HABS, Finger Lakes, Limnology, New York, All tags...
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This dataset documents locations of and water temperature recorded by Hobo Water Temp Pro series loggers (Onset Computer Corp., Bourne, MA) deployed by the USGS Comprehensive Sturgeon Research Project at up to 24 locations in the Lower Missouri River (from the Gavins Point Dam near Yankton, South Dakota to its confluence with the Mississippi River near St. Louis, Missouri) and 13 selected tributaries (James River, Big Sioux River, Little Sioux River, Platte River (in Nebraska), Nishnabotna River, Nodaway River, Platte River (in Missouri), Kansas River, Grand River, Chariton River, Lamine River, Osage River, and Gasconade River) since 2005. Data document the site name, spatial location, temporal extent of water temperature...
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Water availability for human and ecosystem needs is a function of both water quantity and water quality, as described in the U.S. Geological Survey (USGS) Water Science Strategy (Evenson and others, 2013). Recently, a quantitative approach to prioritize candidate watersheds for monitoring investment was developed to understand changes in water availability and advance the objectives of new USGS programs (Van Metre and others, 2020). In this study design, the contiguous United States (CONUS) was divided into 18 regions (referred to here as “hydrologic regions” or “HRs”) with relatively homogeneous hydrologic drivers and processes to represent the wide diversity in conditions that exist across the CONUS. The gap analysis...
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This dataset includes high-frequency sensor data collected during four consecutive summers from buoys deployed at main channel and backwater sites in Pool 8 of the Upper Mississippi River from 2015-2018. It also includes the event-specific concentration-discharge metrics (hysteresis and slope) calculated by combining the water quality sensor data with discharge data from a nearby USGS gage in Winona, MN (05378500). High-frequency sensor data were collected using water quality buoys (PISCES monitoring platforms; EMM350 Water Monitoring Pontoon Platform | ysi.com | ysi.com; Yellow Springs, Ohio) set up with EXO2 Multiparameter Sondes (YSI, Inc, Yellow Springs, Ohio) to monitor hourly or bi-hourly concentrations of...
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This metadata record contains 15 tables with results from field and laboratory tests used to assess bioremediation in wetland areas at the Standard Chlorine of Delaware, Inc. Superfund site, New Castle County, Delaware, during 2019-2021. Included in the dataset are (1) polychlorinated biphenyl (PCB) concentrations in wetland sediment from sediment microcosm laboratory experiments, (2) chlorobenzene concentrations in wetland sediment from sediment microcosm laboratory experiments, (3) polychlorinated biphenyl concentrations from PCB microcosm laboratory experiments using polyethylene strips, (4) chlorobenzene concentrations from PCB microcosm laboratory experiments using polyethylene strips, (5) total iron and ferrous...
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This data release contains the concentration and quality-assurance results for inorganic constituents, as well as organic compounds (volatile organic compounds [VOC], per- and polyfluoroalkyl substances [PFAS], pesticides and disinfection byproducts [DBP]) and microbiological results collected in the Little Big Horn River and residential or commercial tapwater locations in Montana. Twenty-two tapwater samples (six sourced from public supply and 14 sourced from private wells) and six surface-water samples were collected in Montana between August 8-10, 2022. Pharmaceuticals, VOC, and PFAS were analyzed at the U.S. Geological Survey (USGS) National Water Quality Laboratory (NWQL) in Denver, Colorado. Pesticides and...
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The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in cooperation with the State Water Board, and in partnership with other State and local agencies. The USGS collected and analyzed groundwater, surface water, and associated quality control (QC) samples in the Poso Creek Oil Field study area during February 2020-December 2021. Groundwater samples were collected from eleven irrigation, two domestic,...
This data release contains the climate change model inputs and Soil and Water Assessment Tool (SWAT) model outputs from 360 HUC-8 watersheds in the Midwest United States (Illinois, Indiana, Iowa, Michigan, Minnesota, Ohio, and Wisconsin), that were generated using the HAWQS (Hydrologic and Water Quality System) platform (https://hawqs.tamu.edu). The summarized data for a watershed-based climate change vulnerability assessment for U.S. Fish and Wildlife Service is also provided, along with the R code used to summarize the raw outputs. Watershed-based Midwest Climate Change Vulnerability Assessment Tool: https://rconnect.usgs.gov/CC_Vulnerabi
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During November 2018, the Camp Fire burned more than 150,000 acres in Butte County, California. The fire was the deadliest and most destructive in California history, destroying more than 18,000 structures and causing at least 85 fatalities. The U.S. Geological Survey sampled surface water in areas affected by the Camp Fire, plus an unburned control site, during two post-fire sampling events, January 21-23, 2019 and February 28 - March 1, 2019. During each of those two sampling events, surface-water samples were collected at 8 stream locations. These 16 water samples were filtered using filters with multiple pore sizes (1.2 µm, 0.8 µm, 0.45 µm, and 0.22 µm) to evaluate colloid transport of trace elements. The filtrates...
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This data release supports analyses of the relations between monthly average nutrient concentrations in the Herring River on the ebb tide near Wellfleet Massachusetts and monthly average precipitation, temperature, runoff, solar radiation, ocean water temperature, mean sea level, nutrient concentrations in Wellfleet Harbor, and atmospheric deposition of nitrogen 2015-2021. The Environmental_Variables.csv file contains the monthly average precipitation, temperature, runoff, solar radiation, ocean water temperature, mean sea level, nutrient concentrations in Wellfleet Harbor, and atmospheric deposition of nitrogen data. The Velocity_andgage_height.csv file contains the data on surface water velocity that were used...
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Management efforts of the tidally-restricted Herring River in Wellfleet, MA include research to understand pre-restoration sediment conditions. Submerged multiparameter sondes that measure optical turbidity were deployed at four sites landward and seaward of the Herring River restriction. Periodically, the sites were visited and additional turbidity measurements were collected with a handheld multiparameter sonde, and water samples were collected for determination of suspended-sediment concentration (SSC). The handheld turbidity measurements were regressed against SSC using a repeated median regression to determine a calibration curve for calibrating the turbidity time-series data to SSC. The SSC derived from the...
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This data release includes hydroacoustic data for the 2021 to 2022 water years at four stations. These stations are part of a discrete and continuous monitoring project in embayments on Long Island Sound to support nutrient management activities in Connecticut. The data were collected by the U.S Geological Survey (USGS) in cooperation with the Connecticut Department of Energy and Environmental Protection. The data were collected using acoustic doppler current profilers (ADCPs) sampling 134 parameters every six minutes. Recorded values above the water surface were removed from files using an R script. The ADCPs were deployed at upstream and downstream locations in the Mystic and Norwalk embayments. For the Mystic...
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A total of 27 temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. These 7 cold-water areas had 3 to 6 temperature sensors installed to document the extent and duration of these cold-water areas and their impacts on mainstem temperatures of the Lower Yakima River. Cold-water areas included the mouths of tributaries, alongside channels, and within alcoves. Sensor deployments ranged from 1 to 2 years beginning in October 2018. All temperature data are included in the Yakima.temperatures.zip folder. Details of each monitoring location are provided in the site.locs.csv file. In addition to the raw data and site location information,...
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Slug additions are often the most accurate method for determining discharge when traditional current meter or acoustic measurements are unreliable because of high turbulence, rocky streambed, shallow or sheet flow, or the stream is physically inaccessible (e.g., under ice or canyon walls) or unsafe to wade (Zellweger et al., 1989, Kilpatrick and Cobb 1984, Ferranti 2015). The slug addition method for determining discharge requires an injection of a known amount of a single salt and high-frequency downstream measurement of solute concentration to capture the response curve (Kilpatrick and Cobb 1984). A new slug method was developed to determine stream discharge utilizing specific conductance and ionic molal conductivities...
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During the spring and summer of 2022, the U.S. Geological Survey collected water-quality samples for nutrient analysis at 45 stations across the state of Connecticut and adjacent areas of New York and Rhode Island to better understand the groundwater discharge component of nitrogen loading to the Long Island Sound. The targeted stations were located in small drainage basins (less than 50 square kilometers) in the southern portion of the Long Island Sound watershed. Sites were selected randomly from groups based on expected drivers or controls on baseflow nitrogen loads. Factors used in the grouping included four metrics calculated for the upstream watershed: percent impervious cover, septic system density, percent...
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This data release includes water-quality data collected at up to thirteen locations along the Merrimack River and Merrimack River Estuary in Massachusetts. In this study, conducted by the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Department of Environmental Protection, discrete samples were collected, and continuous monitoring was completed from June to September 2020. The data include results of measured field properties (water temperature, specific conductivity, pH, dissolved oxygen) and laboratory concentrations of nitrogen and phosphorus species, total carbon, pheophytin-a, and chlorophyll-a. These data were collected to assess selected (mainly nutrients) water-quality conditions in...
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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...
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This data release contains one dataset and one model archive in support of the journal article, "Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies," by Jennifer C. Murphy and Jeffrey G. Chanat. The model archive contains scripts (run in R) to reproduce the four machine learning models (logistic regression, linear and quadratic discriminant analysis, and k-nearest neighbors) trained and tested as part of the journal article. The dataset contains the estimated probabilities for each of these models when applied to a training and test dataset.
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This data release contains environmental and quality control results for chemical, biological, and physical sampling of water and bed sediment from Albemarle Sound and associated tributaries between 2012 and 2014 referenced in USGS OFR 2016-1171. Appendix 1 contains all quality control results to characterize the bias and variability of sampling, handling, and analysis of water, phytoplankton, and bed sediment samples. Appendix 2 contains all the chemical, biological, and physical results for water samples collected in July and August of 2012. Appendix 3 contains all the chemical, biological, and physical results for water samples collected from March 2013 to February 2014. Data are included for discrete samples...


map background search result map search result map 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 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Water-Quality Data for Discrete Samples and Continuous Monitoring on the Merrimack River, Massachusetts, June to September 2020 Data Supporting Analysis of Relations Between Nutrient Concentrations in the Herring River on the Ebb Tde, Near Wellfleet, Massachusetts and Environmental Conditions, 2015- 2022 Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022 Volatile organic compound, polychlorinated biphenyl, and biogeochemical data from passive samplers and laboratory experiments for wetland bioremediation study, Standard Chlorine of Delaware, Inc. Superfund Site, New Castle County, Delaware, 2019–2021 Target-chemical concentrations and microbiological results in surface water and tapwater, Montana, 2022 Geospatially derived environmental characteristics to prioritize watersheds for research and monitoring needs within 18 hydrologic regions across the United States Water quality data from a multiparameter sonde collected in the Herring River during November 2018 to November 2019 in Wellfleet, MA Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018 Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound Water Chemistry data for samples collected at groundwater sites in the Poso Creek Oil Field study area, February 2020-December 2021, Kern County, California Water temperature in the Lower Missouri River and selected tributaries Geochemical data for post-fire surface water, streambed sediment, and soils from areas affected by the 2018 Camp Fire, Butte County, California Specific conductance data collected during slug additions Volatile organic compound, polychlorinated biphenyl, and biogeochemical data from passive samplers and laboratory experiments for wetland bioremediation study, Standard Chlorine of Delaware, Inc. Superfund Site, New Castle County, Delaware, 2019–2021 Water quality data from a multiparameter sonde collected in the Herring River during November 2018 to November 2019 in Wellfleet, MA Data Supporting Analysis of Relations Between Nutrient Concentrations in the Herring River on the Ebb Tde, Near Wellfleet, Massachusetts and Environmental Conditions, 2015- 2022 Water Chemistry data for samples collected at groundwater sites in the Poso Creek Oil Field study area, February 2020-December 2021, Kern County, California Geochemical data for post-fire surface water, streambed sediment, and soils from areas affected by the 2018 Camp Fire, Butte County, California Water-Quality Data for Discrete Samples and Continuous Monitoring on the Merrimack River, Massachusetts, June to September 2020 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Continuous water quality sensor data from the main channel and a backwater of the Upper Mississippi River from 2015-2018 Benthic-macroinvertebrate and habitat data in Chester, Delaware, and Philadelphia Counties, Pennsylvania, 1998-2021 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Hydroacoustic Data to Support Embayment Monitoring in Long Island Sound, Mystic and Norwalk Embayments, Connecticut, 2021-2022 Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound Water temperature in the Lower Missouri River and selected tributaries Specific conductance data collected during slug additions Target-chemical concentrations and microbiological results in surface water and tapwater, Montana, 2022 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 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Geospatially derived environmental characteristics to prioritize watersheds for research and monitoring needs within 18 hydrologic regions across the United States