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A three-dimensional groundwater flow model using MODFLOW-NWT was developed to evaluate historical and potential stream capture in the lower Humboldt River Basin, Nevada. The Humboldt River Basin is the only river basin that is contained entirely within the state of Nevada. The effect of groundwater pumping on the Humboldt River is not well understood. Tools are needed to determine stream capture and manage groundwater pumping in the Humboldt River Basin. Previous work has demonstrated that the river’s surface-water resource is sensitive to groundwater withdrawals, which have steadily increased since the 1950s for agriculture, municipal, and mining uses. A numerical groundwater flow model was developed for the purpose...
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Publicly available geospatial data were identified, collated, and analyzed for a region of karst terrain extending from Albany to Buffalo, New York. A series of geospatial datasets were assembled to determine the location and extent of karstic rock; bedrock geology and depth to bedrock; average water-table configuration; surficial geology; soil type, thickness, and hydraulic conductivity; land cover; and closed depressions in the land surface First release: 2021 Revised: July 2022 (ver. 2.0) Revised: October 2022 (ver. 3.0) Revised: January 2024 (ver. 4.0)
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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 contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the...
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This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the...
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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This dataset contains all the layers associated with U.S. Geological Survey (USGS) Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) initiative for the Upper Peninsula Restoration Assessment (UPRA) which aims to identify and rank coastal areas with the greatest potential for wetland habitat restoration. Each layer has a unique contribution to the identification of restorable wetlands. The 7 parameters (Parameter 0: Mask, Parameter 1: Hydroperiod, Parameter 2: Wetland Soils, Parameter 3: Flowlines, Parameter 4: Conservation and Recreation Lands, Parameter 5: Impervious Surfaces, and Parameter 6: Land Use) and Index Composite directly correlate to areas that are recommended for restoration. The dikes, degree...
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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 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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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 U.S. Geological Survey data release consists of a geospatial dataset containing information on estimated streamflow extent, stream velocity, and stream depth at Soldier Meadows Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada, and the data acquired and processed to support the estimation of those attributes. Supporting datasets include topographic survey data collected using a global navigation satellite system (GNSS) in Soldier Meadows from August 13-15, 2019, and an archive of the two-dimensional hydraulic model used to generate a polygon dataset for streamflow extent as well as raster datasets for stream velocity, and stream depth. The data release includes: 1) a polygon...
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California's Central Valley ranges from the mountain fronts toward a central trough, mainly defined by the San Joaquin and Sacramento Rivers, and the relative distance from trough to valley edges is of interest. This data release provides supplemental data for the USGS Professional Paper 1766, titled Groundwater Availability of the Central Valley Aquifer, California and provides geographic information systems (GIS) datasets containing this relative distance grid and supporting data. Included in this data release are shapefiles used to define the Central Valley study area, the Central Valley trough, and a relative distance grid that may be used to spatially define other GIS data into zones between the edge of the...
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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 monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Santa Clara River Valley South Bay (SCVSB). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries...
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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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This data release documents spatiotemporal water-quality, landscape, and climatic conditions in Fairfax County, Virginia from 2007 through 2018. These data were used to evaluate the water-quality and ecological condition of 20 Fairfax County watersheds monitored since 2007. Data include measures of water-quality, precipitation, air temperature, land use, land cover, wastewater and stormwater infrastructure, soil properties, geologic setting, and stream networks. Annual values from 2007 through 2018 are reported for data expected to change over time. Watershed-specific values are reported for data that differ across the landscape. Annual values for the 20 study watersheds and Fairfax County are reported in the file...
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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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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.


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 Data release of Bathymetric Map, Surface Area, and Capacity of Grand Lake O' the Cherokees, Northeastern Oklahoma, 2019 Geospatial data and surface-water model archive for evaluation of streamflow extent and hydraulic characteristics of a restored channel at Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 Southwest Gravity Program Absolute-Gravity Database (updated 2023-10-31) Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Santa Clara River Valley South Bay Monthly BCMv8 Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Imagery training dataset for the River Imagery Sensing (RISE) application Climate, Landscape, and Water-Quality Metrics for Selected Watersheds in Fairfax County, Virginia, 2007 – 2018 Relative distance of California's Central Valley from trough to valley edge and supporting data Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, September 26, 2020 Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, May 07, 2021 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 MODFLOW-NWT Model Used to Evaluate Stream Capture Related to Groundwater Pumping, Lower Humboldt River Basin, Nevada (ver. 1.1, March 2024) (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii Geospatial data and surface-water model archive for evaluation of streamflow extent and hydraulic characteristics of a restored channel at Soldier Meadows, Black Rock Desert - High Rock Canyon Emigrant Trails National Conservation Area, Nevada Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, September 26, 2020 Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, May 07, 2021 Temperature data collected from the Lower Yakima River from October 2018 to October 2020 Climate, Landscape, and Water-Quality Metrics for Selected Watersheds in Fairfax County, Virginia, 2007 – 2018 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 High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018-2019 MODFLOW-NWT Model Used to Evaluate Stream Capture Related to Groundwater Pumping, Lower Humboldt River Basin, Nevada (ver. 1.1, March 2024) Santa Clara River Valley South Bay Monthly BCMv8 (1) Discrete geochemical data for groundwater and surface water samples in the Umatilla River basin, 2014–2022 Great Lakes Coastal Wetland Restoration Assessment (GLCWRA) Upper Peninsula, U.S. (ver. 2.0, January 2024) Geospatial Data to Assess Karst Aquifer Systems Between Albany and Buffalo, New York (ver. 4.0, January 2024) 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 Relative distance of California's Central Valley from trough to valley edge and supporting data 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 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