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This data release includes a polygon shapefile of grid cells attributed with values representing the simulated base-flow, evapotranspiration, and groundwater-storage depletions as a percentage of hypothetical well pumpage for the 2011-2060 time period. Depletions were simulated by the Phase-Three Elkhorn-Loup Model (ELM), constructed using MODFLOW-NWT (Niswonger and others, 2011). Each polygon represents one model grid cell, with pumping specified from either layer one or layer two of the model. All values are estimates and approximations. The phase three ELM simulated the High Plains aquifer in north-central Nebraska from predevelopment (pre-1895) through 2060 (Flynn and Stanton, 2018). The simulation was calibrated...
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The U.S. Geological Survey in cooperation with the Grand River Dam Authority completed a high-resolution multibeam bathymetric survey to compute a new capacity and surface-area table. The capacity and surface-area tables describe the relation between the elevation of the water surface and the volume of water that can be impounded at each given water-surface elevation. The capacity and surface area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Global Mapper Version 21.0.1. The TIN surface was created from three datasets: (1) a multibeam bathymetric survey of Grand Lake O’ the Cherokees in 2019 (Hunter and others 2020), (2) a 2017 USGS bathymetric survey...
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This bathymetric dataset provides an update to the stage-storage relation for Quail Lake (reservoir) located in the El Dorado National Forest, Calif. Bathymetric data was collected using a multibeam echo sounder to provide near-complete coverage and was merged with USGS 3DEP lidar to compute a DEM of the lake and near shore. The DEM was used to computed storage and surface area for a range of stage elevations. Results show that the spillway elevation was 6799.3 feet (NAVD88) and the crest elevation was 6802.5 feet (NAVD88). At the spillway elevation the storage was 141.74 ac-ft with a surface area of 14.20 ac. At the crest elevation the storage was 190.05 ac-ft with a surface area of 15.89 ac.
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This dataset contains absolute-gravity data collected by the USGS Southwest Gravity Program, a collaborative effort of the Arizona, California, and New Mexico Water Science Centers to monitor and model groundwater-storage change. Data were collected following the methods in "Procedures for Field Data Collection, Processing, Quality Assurance and Quality Control, and Archiving of Relative and Absolute-Gravity Surveys", U.S. Geological Survey Techniques and Methods book 2, chapter D4 . All data are reviewed and approved. Additional gravity data, including network-adjusted relative- and absolute-gravity data, may be available in ScienceBase Data Releases.Gravity data are provided as two files:sgp_agdb_stations_YYYY-MM-DD.csv...
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Ground-based discrete snowpack measurements were collected during winter field campaigns starting in 2020. These data were collected as part of the U.S. Geological Survey (USGS) Next Generation Water Observing System (NGWOS) Upper Colorado River Basin project focusing on the relation between snow dynamics and water resources. This data release consists of three child items. Each child item contains snow depth, snow density, snow temperature, or snow water equivalent values measured discretely in the field. The data are provided in comma separated value (CSV) files.
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A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the...
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This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
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This digital dataset consists of monthly climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922 to 2019. The BCMv8 data are available in a separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020". The data were modified by: (1) extracting the data from the data source for the relevant model domain and times, and (2) rescaling the 270-meter BCMv8 grid to the small watersheds that contribute boundary flow to the CVHM2 model for the hydrologic variables recharge and runoff. The three data pieces...
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The U.S. Geological Survey (USGS), in cooperation with the City of South Padre Island, Texas, deployed an acoustic Doppler current profiler (ADCP) to collect current velocity, wave height, and directional data in the lower Laguna Madre adjacent to South Padre Island, Texas. From July 19, 2022, through January 9, 2023, these data were collected at a site near South Padre Island (USGS station number 260551097100901) by using an up-looking acoustic doppler current profiler (ADCP) mounted on the bottom of the lower Laguna Madre. Raw data were collected at a frequency of 2 hertz (Hz); reported values were computed as the average of the processed data values for 60-minute intervals. All times are represented in Coordinated...
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This data release contains time-lapse imagery taken at U.S. Geological Survey (USGS) stream gaging stations with associated hydrologic and meteorological data related to each image. These data are to help improve the development of models in detecting water elevation at a given stream gaging station. Images of the water surface and surroundings at USGS stream gaging stations were taken at varying time intervals ranging between every five minutes to an hour. Cameras used include trail cameras, web cameras, and the custom river imagery sensing (RISE) camera. Time-lapse images for each USGS stream gaging station are provided in compressed files (file extension .7z). These files are named in a format to identify the...
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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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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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These data are chemical analyses of discrete samples of groundwater, stream base flow, and springs collected to support a U.S. Geological Survey study to estimate the timing and source of recharge to the basalt groundwater system in the Umatilla River basin, Oregon. Categories of data include: (1) site information (2) field measurements, (3) tracers of groundwater age and source, and (4) dissolved noble gases. These data were collected during August 26, 2014 – September 13, 2022. Data are in .csv file format.
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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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In support of U.S. Geological Survey invasive carp research examining aggregations of invasive carp in the tail water of dams, water velocity measurements were made at cross sections in the Illinois River below Starved Rock Lock and Dam on June 16, 2021. A total of 16 cross sections were surveyed, with two transects per cross section. Water depth and crew safety limited the extent of the survey. The discharge in the Illinois River at Starved Rock Lock and Dam at the time of data collection was approximately 185.7 cubic meters per second. The data were processed in the Velocity Mapping Toolbox (VMT) v.4.09 (Parsons and others, 2013) to obtain a depth-averaged velocity field for each cross section from paired transects...
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Geospatial datasets were developed to estimate the altitude of the top of bedrock, altitude of the top of the Paradox salt, altitude of the water table in the alluvial aquifer, and the thickness and extent of saturated alluvium in the Paradox Valley in western Colorado. This study was completed by the U.S. Geological Survey (USGS) in cooperation with the Bureau of Reclamation for modeling of brine discharge to the Dolores River (Heywood and others, 2024; Paschke and others, 2024). One point dataset and 11 surfaces (shapefiles or rasters) are published in this data release. The point dataset (Paradox_well_data.zip) contains water-level and geologic data for groundwater, observation, test, and production wells in...
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This data release contains time series and plots summarizing mean monthly temperature and total monthly precipitation, and runoff from the U.S. Geological Survey Monthly Water Balance Model at 115 National Wildlife Refuges within the U.S. Fish and Wildlife Service Mountain-Prairie Region (CO, KS, MT, NE, ND, SD, UT, and WY). The three variables are derived from two sets of statistically-downscaled general circulation models from 1951 through 2099. The three variables were summarized for comparison across four 19-year periods: historic (1951-1969), baseline (1981-1999), 2050 (2041-2059), and 2080 (2071-2089). For each refuge, mean monthly plots, seasonal box plots, and annual envelope plots were produced for each...
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This dataset includes gravity observations collected on the Coconino Plateau, Arizona, from 2015 to 2019 and reductions that were used to arrive at the gravity residual reported in the associated publication (Wildermuth, 2022). Relative-gravity surveys were carried out using a ZLS Burris relative-gravity meter. Absolute gravity values were taken from the closest NGS stations and relative-gravity differences were combined with nearby absolute gravity values using a least-squared network adjustment, as implemented in the software Gravnet (Hwang, C., Wang, C., Lee, L., 2002. Adjustment of relative gravity measurements using weighted and datum-free constraints. Comput. Geosci. 28, 1005–1015). Additional information...
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The U.S. Geological Survey (USGS), in cooperation with the Pennsylvania Department of Environmental Protection (PADEP), conducted an evaluation of data used by the PADEP to identify groundwater sources under the direct influence of surface water (GUDI) in Pennsylvania (Gross and others, 2022). The data used in this evaluation and the processes used to compile them from multiple sources are described and provided herein. Data were compiled primarily but not exclusively from PADEP resources, including (1) source-information for public water-supply systems and Microscopic Particulate Analysis (MPA) results for public water-supply system groundwater sources from the agency’s Pennsylvania Drinking Water Information System...


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 Percentage of Hypothetical Well Pumpage Causing Depletions to Simulated Base Flow, Evapotranspiration, and Groundwater Storage in the Elkhorn and Loup River Basins, 2011 through 2060 Rate of shoreline change statistics for New York State coastal wetlands Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Database Used for the Evaluation of Data Used to Identify Groundwater Sources Under the Direct Influence of Surface Water in Pennsylvania Southwest Gravity Program Absolute-Gravity Database (updated 2023-10-31) Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Geospatial datasets developed for a hydrogeologic conceptual model of brine discharge to the Dolores River, Paradox Valley, Colorado Data from "Gravity surveys for estimating possible width of enhanced porosity zones across structures on the Coconino Plateau, Coconino County, North-Central Arizona" Central Valley Hydrologic Model version 2 (CVHM2): Small Watershed Climate Data (Recharge, Runoff) Imagery training dataset for the River Imagery Sensing (RISE) application Bathymetric survey and stage-storage assessment of Quail Lake, Calif., collected in 2022 NGWOS Ground Based Discrete Snowpack Measurements Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Current Velocity, Wave Height, and Directional Data in the Lower Laguna Madre near South Padre Island, Texas, July 2022 to January 2023 Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 Bathymetric survey and stage-storage assessment of Quail Lake, Calif., collected in 2022 Geospatial datasets developed for a hydrogeologic conceptual model of brine discharge to the Dolores River, Paradox Valley, Colorado Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Nitrogen Loads, Yields, and Associated Field Data Collected During Baseflow Conditions and Site Attributes for Small Basins Draining to Long Island Sound NGWOS Ground Based Discrete Snowpack Measurements Rate of shoreline change statistics for New York State coastal wetlands Percentage of Hypothetical Well Pumpage Causing Depletions to Simulated Base Flow, Evapotranspiration, and Groundwater Storage in the Elkhorn and Loup River Basins, 2011 through 2060 Database Used for the Evaluation of Data Used to Identify Groundwater Sources Under the Direct Influence of Surface Water in Pennsylvania Central Valley Hydrologic Model version 2 (CVHM2): Small Watershed Climate Data (Recharge, Runoff) Southwest Gravity Program Absolute-Gravity Database (updated 2023-10-31) 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 Hydroclimate Projections for Select U.S. Fish and Wildlife Service Properties - Mountain-Prairie Region, 1951-2099 Imagery training dataset for the River Imagery Sensing (RISE) application Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies