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The U.S. Geological Survey (USGS) developed a regression model for estimating mean August baseflow per square mile of drainage area in cooperation with National Oceanic and Atmospheric Administration (NOAA) to help resource managers assess relative amounts of baseflow in streams with Maine Atlantic Salmon habitat (Lombard and others, 2021). The model was applied to each reach of a stream network derived from select National Hydrography Dataset Plus High-Resolution (NHDPlusHR) data in the State of Maine south of 46º 21′55″ N latitude. The spatial coverage developed from the stream network contains model-estimated mean August baseflow per square mile of drainage area as an attribute of each NHDPlusHR reach. Please...
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The U.S. Geological Survey (USGS) conducted aquifer interval isolation (packer) tests of discrete water-bearing zones using straddle packers in 13 wells in Northampton, Warminster, and Warwick Townships and Ivyland Borough, Bucks County, Pennsylvania during 2018-19 to support detailed groundwater investigations at and near the former Naval Air Warfare Center (NAWC) Warminster, where groundwater contamination with per- and polyfluoroalkyl substances (PFAS) had become a concern since 2014. The area is underlain by the Triassic-age Stockton Formation, which forms a fractured-sedimentary-rock aquifer used for private, industrial, and public drinking-water supply. The packer tests were conducted in 7 former production...
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This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent...
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A monthly water balance model (MWBM) was driven with precipitation and temperature using a station-based dataset for current conditions (1949 to 2010) and selected statistically-downscaled general circulation models (GCMs) for current and future conditions (1950 to 2099) across the conterminous United States (CONUS) using hydrologic response units from the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014). Six MWBM output variables (actual evapotranspiration (AET), potential evapotranspiration (PET), runoff (RO), streamflow (STRM), soil moisture storage (SOIL), and snow water equivalent (SWE)) and the two MWBM input variables (atmospheric temperature (TAVE) and precipitation (PPT)) were summarized...
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This data release contains water-quality and discharge data collected at seven stream sites and one groundwater spring in Rocky Mountain National Park (RMNP), Colorado by the U.S. Geological Survey (USGS) from 10/1/2010 to 9/30/2019 using in-situ sensors and field meters. Data were collected for the purpose of quantifying downstream transport of aquatic carbon and exchange fluxes of dissolved carbon dioxide (CO₂) from streams. Parameters include daily mean discharge, dissolved CO₂, water temperature, atmospheric pressure, dissolved oxygen, fluorescent dissolved organic matter (fDOM), nitrate, specific conductance, turbidity, and corrected fDOM from 10/1/2010 to 9/30/2019 (DailyData.csv). Hourly mean dissolved CO₂,...
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Lake-bottom sediment and associated quality-control samples were collected in August 2020 from one coring location (U.S. Geological Survey station 413756070321301, ASHUMET POND, MASHPEE MI-ASHPD-0011) in Ashumet Pond downgradient from a former fire-training area on Cape Cod, Massachusetts. The core was collected to determine if per- and polyfluoroalkyl substances (PFAS) were present in the bottom sediments of a lake known to have elevated concentrations of PFAS in surface water and groundwater (Tokranov and others, 2021), and whether the sediments could act as a continuous source of PFAS to the lake. Processing the sediment core entailed collection of discrete samples at intervals ranging from 1-5 centimeters (cm)...
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This data release contains three data types that could potentially be used to infer spatiotemporal variability in groundwater discharge processes, along with other research and monitoring purposes: 1) Temporally continuous stream channel water temperature and adjacent streambank air temperature time series data (generally starting November 2020) as well as limited temperature data from May to October 2022 from select seeps and springs; 2) Discrete stable isotope data collected from stream water (May 2021, October/November 2021, May 2022, October/November 2022); and 3) Discrete dissolved radon gas data from stream water (collected May 2021 and May 2022). Data were collected at 51 temporary stations installed along...
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This digital dataset contains the surface water operational data used for the Salinas Valley Operational Model (SVOM) including the time series data and the operational rules. While much of the input data is shared between the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM), the SVOM has additional input data specific to the purpose and function of the model. This digital dataset contains the datasets related to agricultural and municipal water supply and groundwater in the Lower Salinas Valley Hydrologic Models, including the Salinas Valley Operational Model (SVOM) and the Salinas Valley Integrated Hydrologic Model (SVIHM). Groundwater inflow and outflow data include...
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This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through September 2020. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at the long-term sampling site on Cheney Reservoir located near the dam (USGS station identification number 07144790). Phytoplankton were identified to the lowest possible taxonomic level...
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This data release includes grids representing the depth and thickness of drinking-water withdrawal zones, polygons of hydrogeologic settings, an inventory of sources of well construction data, and summaries of data comparisons used to assess the depth of groundwater used for drinking-water supplies in the United States. Well construction data sources are documented in Table1_DataSources.xlsx. Data comparisons using the Mann-Whitney test to assess similarity between hydrogeologic settings were used to justify combining data where they were sparse (compare_neighbors_all_domestic.txt and compare_neighbors_all_public.txt). Water-supply-well depth varies geographically by water use and the type of well, which illustrates...
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This U.S. Geological Survey (USGS) data release provides zooplankton data collected from Cheney Reservoir, Kansas, during October 2008 through October 2022. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at the long-term sampling site on Cheney Reservoir located near the dam (USGS station identification number 07144790). Zooplankton were identified to the lowest possible taxonomic level...
A dataset of well information and geospatial data was developed for 426 U.S. Geological Survey (USGS) observation wells in Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. An extensive list of attributes is included about each well, its location, and water-level history to provide the public and water-resources community with comprehensive information on the USGS well network in New England and data available from these sites. These data may be useful for evaluating groundwater conditions and variability across the region. The well list and site attributes, which were extracted from USGS National Water Information System (NWIS), represent all of the active wells in the New England network...
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Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in cooperation with numerous Alabama State agencies and organizations, developed regional regression equations for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations in Alabama that are not substantially affected by tides, regulation, diversions, or other anthropogenic influences. This...
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This data release is a compilation of annual Global Navigation Satellite System (GNSS) surveys of a network of 26 vertical control points (benchmarks) in the Hampton Roads region of southeastern Virginia. Surveys are conducted annually during the winter and are structured to collect a minimum of 24-hours of position data when possible, at an interval of 30-seconds or less at each benchmark location. Raw GPS survey files are downloaded and converted to Receiver Independent Exchange Format (RINEX) and post processed using the National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Online User Positioning Service (OPUS) Projects 4.12 software package following guidance and best practices...
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Introduction CONUS404 is a unique, high-resolution hydro-climate dataset appropriate for forcing hydrological models and conducting meteorological analysis over the contiguous United States. CONUS404, so named because it covers the CONtiguous United States for 40 years at 4-km resolution, was produced by the Weather Research and Forecasting (WRF) Model simulations run by National Center for Atmospheric Research (NCAR) as part of a collaboration with the U.S. Geological Survey (USGS) Water Mission Area. In fact, CONUS404 includes 43 years of data (water years 1980-2022) and the spatial domain extends beyond the CONUS into Canada and Mexico, thereby capturing transboundary river basins and covering all contributing...
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This data release supports an analysis of changes in dissolved organic carbon (DOC) concentration and in the slope of the concentration-discharge relation in the Sleepers River Research Watershed W9 near North Danville, Vermont 1991 to 2018. The data release includes pre-processed model inputs and model outputs. W9 is a 40.5-hectare forested sub-watershed of the Sleepers River Research Watershed that was originally established by the U.S. Department of Agriculture in 1959 and has been intensively studied by the USGS since 1991. The W9 headwater sub-watershed drains to Pope Brook and is gaged at USGS station ID 01135100. Pope Brook flows into Sleepers River and ultimately into the Connecticut River. Two models...
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This dataset presents water withdrawal estimates, consumption estimates, and associated information for 1,122 water-using, utility scale thermoelectric power plants in the United States for 2015. The U.S. Geological Survey (USGS) developed models to estimate thermoelectric water use based on linked heat-and-water budgets, including thermodynamically plausible ranges of minimum and maximum withdrawal and consumption, to provide a consistent method for water-use estimation across the fleet of U.S. thermoelectric plants. Historically, thermoelectric water withdrawal and consumption has been estimated by the Department of Energy's Energy Information Administration (EIA) based on surveys of plant operator-reported data...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, that were based on methods described by Sando and McCarthy (2018). Sando, S.K., and McCarthy, P.M., 2018, Methods for peak-flow frequency analysis and reporting for streamgages...
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The comid field of these data can be used to join to the NHDPlus version 2 flowline comid or catchment featureid attributes. The included attributes follow the same data model as the NHDPlusV2 but include numerous updates and improvements to network connectivity. All attributes that depend on network connectivity have been recalculated. These attributes are based on the National Hydrography Dataset Plus V2.1 (NHDPlusV2) network geometry and modifications retrieved from the National Water Model V2.1 (NWMv2.1) and "E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines" (E2NHDPlusV2) datasets. These attributes are available in three formats: csv, fst, and...
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This data release includes one comma delimited table that represents a summary of source and target samples collected for White Clay Creek between 2020 and 2023, in support of sediment fingerprinting modelling. This table contains sediment sample information and results of particle size, elemental composition, and fallout radionuclide analyses. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. First posted - October 18, 2023 (available from author). Revised - March 28, 2024 (version 2.0). This data release has been revised to include data from samples collected in 2023 that were not published in version 1.0.