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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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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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These data represent trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.
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RBRduo pressure and temperature sensors, mounted on aluminum frames, were moored in shallow (< 6 m) water depths in Skagit and Bellingham Bays, Washington, USA, from December 2017 to February 2018, to capture wave heights and periods. Continuous pressure fluctuations are transformed into surface-wave observations of wave heights, periods, and frequency spectra at 30-minute intervals.
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This data release presents beach topography and nearshore bathymetry data from repeated surveys in northern Monterey Bay, California to document changes in shoreline position and coastal morphology as they relate to episodic (storms), seasonal, and interannual and longer (e.g. El Niño) processes. The ongoing monitoring program was initiated in October 2014 with semi-annual surveys performed in late summer (September or October) and Spring (March). Nearshore bathymetry and topography data were collected along a series of shore-perpendicular transects spaced primarily at 50-250 m intervals between Santa Cruz and Moss Landing, California (fig. 1). The transects were located along sandy stretches of the coastline...
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Multichannel minisparker and boomer seismic-reflection and chirp sub bottom data were collected by the U.S. Geological Survey in September of 2013 in Port Valdez, Alaska. Data were collected aboard the USGS R/V Alaskan Gyre during field activity G-01-13-GA. Sub-bottom acoustic penetration spans several hundreds of meters and is variable by location. High-resolution multichannel seismic-reflection data were acquired to support the U.S. Geological Survey Alaska coastal and marine hazards project to explore the sedimentary structure of tsunamigenic landslide deposits around an IODP drill site in Port Valdez. These data and information are intended for science researchers, students from elementary through college, policy...
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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 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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Research and surveillance reports have documented a significant increase in coal workers' pneumoconiosis, including the most severe forms of progressive massive fibrosis and rapidly progressive pneumoconiosis in U.S. coal miners, particularly those in Appalachian coalfields. Several possible explanations for these observations include excessive exposures to total respirable dust, increased exposure to freshly fractured silica and silicates, or greater exposure to smaller particles that may be the result of changing mining practices. This dataset contains the chemical and morphological characteristics of particulate matter retrieved from lung tissue slices of historical and contemporary miners.
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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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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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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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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...
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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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A before-and-after study design was used to examine effects of changes in cattle grazing practices on channel stability in Muddy Creek, an arroyo in the Colorado River headwaters. The changes in grazing practices were abrupt and focused on keeping cattle out of the riparian zone and increasing herd movement. We digitized 620 meander loop cutoff geometries within the digitized alluvial valley bottom of Muddy Creek and used the meander loop cutoff rate as a broad measure of channel stability. Poisson regression modeling of meander loop cutoff rate indicated that the change in grazing practices caused an order-of-magnitude decline in meander loop cutoff rate that was independent of other hydroclimatic and human-caused...


map background search result map search result map Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Beach topography and nearshore bathymetry of northern Monterey Bay, California Wave observations from nearshore bottom-mounted pressure sensors in Skagit and Bellingham Bays, Washington, USA from Dec 2017 to Feb 2018 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 Chirp, multichannel minisparker, and boomer seismic-reflection data from USGS field activity G-01-13-GA collected in Port Valdez, Alaska, in September 2013 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 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 Characteristics of Dust Associated with the Development of Rapidly Progressive Pneumoconiosis and Progressive Massive Fibrosis Relative distance of California's Central Valley from trough to valley edge and supporting data Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution 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) Digitized datasets used in channel stability study in the Colorado River headwater arroyo system of Muddy Creek, Wyoming (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 Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 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 Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 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 Chirp, multichannel minisparker, and boomer seismic-reflection data from USGS field activity G-01-13-GA collected in Port Valdez, Alaska, in September 2013 Wave observations from nearshore bottom-mounted pressure sensors in Skagit and Bellingham Bays, Washington, USA from Dec 2017 to Feb 2018 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 Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Digitized datasets used in channel stability study in the Colorado River headwater arroyo system of Muddy Creek, Wyoming 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 Associated data for Water Quality and Sediment Quality in the Albemarle Sound, North Carolina, 2012–14 Relative distance of California's Central Valley from trough to valley edge and supporting data Characteristics of Dust Associated with the Development of Rapidly Progressive Pneumoconiosis and Progressive Massive Fibrosis 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