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The National Water Quality Network (NWQN) for Rivers and Streams includes 113 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program, National Water-Quality Assessment (NAWQA) Project. The NWQN includes 19 large river coastal sites, 44 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 113 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Water Program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin....
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This dataset has been archived; it has been superseded by version 2.0 (November 2021) which can be found at https://doi.org/10.5066/P95PT2RV. Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding...
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This data release contains geophysical data collected at the Little Wind River site near Riverton, Wyoming in 2015 and 2017. The dataset contains:[1] Fiber Optic Distributed Temperature Sensing data (FO-DTS, August-September 2015) collected in the water along the river bank, [2] Electrical Resistivity Tomography data (ERT, August 2017) collected on land near the river bank, and [3] Frequency domain Electromagnetic Induction (EMI, August 2017) data collected along the river and more extensively throughout the study region. Data for each of these methods can be found in the child items linked below.
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This data release documents streambed sediment thickness in the Neversink watershed (NY) as determined by field observations and HVSR passive seismic measurements, and were collected as an extension of a previous data set collected in the same watershed (see Associated Items). These measurements were made between May 17, 2021 and May 21, 2021 using MOHO Tromino three-component seismometers (MOHO, S.R.L.). Seismic observations were converted to sediment thickness (depth to bedrock, meters) using the horizontal-to-vertical spectral ratio (HVSR) method. Resonance frequencies were determined from time domain data using GRILLA (MOHO, S.R.L.) software and converted to inferred depth to bedrock for a range of possible...
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The U.S. Geological Survey collected geomorphic monitoring data in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group. This data release contains cross-section geometry and sediment-size distribution data collected from five sites on the Upper Colorado River, Colorado during April 6-8, 2022. The five sites selected for monitoring were located at the Pumphouse Recreation Area, Radium Recreation Site, State Bridge, above Catamount, and below Sweetwater Creek. A cross section was surveyed at each site using real-time kinematic Global Navigation Satellite System survey methods to document the channel geometry. All five cross sections are incorporated in this data release and presented in CSV...
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The U.S. Geological Survey Pacific Coastal and Marine Science Center collected data to investigate sediment dynamics in the shallows of San Pablo Bay and sediment exchange between bay shallows and the tidal salt marsh in China Camp State Park in a series of deployments between December 2013 and June 2016. This data release includes two related groups of data sets. The first group, denoted by names starting with CHC, is from deployments with stations in the San Pablo Bay channel, shallows, and mudflats, and within China Camp marsh. The second, denoted by names starting with SP, is from deployments at a subset of the stations in the San Pablo Bay shallows, collected during intervals between the CHC deployments. Stations...
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Bathymetric and topographic surveys were collected along an approximately 47-kilometer reach of the Colorado River beginning at the Pumphouse Recreation site and extending downstream to the USGS streamgage located near the Colorado River Road (Catamount) bridge. The surveys were collected using real-time kinematic Global Navigation Satellite System (GNSS) receivers by USGS personnel during several time periods between May 13, 2021, through July 26, 2023, using a combination of sonar and wading techniques. The wading surveys include point data that are provided as comma-delimited text files of northing, easting, elevation, and point code. The sonar surveys include point data that are provided as comma-delimited text...
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Biological, chemical, physical habitat, riparian, and land-use data collected from the Midwest streams by the National Water Quality Project Regional Stream Quality Team. Data were used to develop structural equation models for the purpose of understanding how networks of potential stressors influence stream ecological health. For more information about the Midwest Regional Stream Quality Assessment please go to https://doi.org/10.3133/fs20123124.
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This dataset contains generalized lithologic classes (rocktypes) as reassigned from the USGS state geologic map compilation for the conterminous United States (Schweitzer, 2011). Lithology was classified into 12 generalized categories using the fields LITH62 and LITH62MINO available in Schweitzer (2011). Geospatial and tabular data associated with the generalized lithologic classes (rocktypes) are included in the data release. References: Schweitzer, Peter N., 2011, Combined geologic map data for the conterminous US derived from the USGS state geologic map compilation: U.S. Geological Survey, available at https://mrdata.usgs.gov/geology/state/geol_poly.zip.
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Two identical Radar Stage Sensors from Forest Technology Systems, were evaluated to determine if they are suitable for U.S. Geological Survey (USGS) hydrologic data collection. The sensors were evaluated in laboratory conditions to evaluate the distance accuracy of the sensor over the manufacturer’s specified operating temperatures and distance to water ranges. Laboratory results were compared to the manufacturer’s accuracy specification of ±0.007 foot (ft) and the USGS Office of Surface Water (OSW) policy requirement that water level sensors have a measurement uncertainty of no more than 0.01 ft or 0.20 percent of the indicated reading. Both of the sensors tested were within the OSW policy requirement in both laboratory...
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This produced dataset includes spatially aggregated records of measurements and observations from public and private organizations across the Upper Missouri River Basin. For this dataset the Upper Missouri River Basin is defined as Hydrologic Unit Code 1002-1013, and includes the states of Montana, Wyoming, Utah, North Dakota, and South Dakota. Streamflow measurements are an essential part of understanding the relationship between streamflow permanence and climatic and physical factors. For the purpose of this investigation, all streamflow observations were identified as perennial, non-perennial, or pooled to be used in the PROSPER (PRObability of Streamflow PERmanence) model.
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This dataset includes example data used for demonstration of the moisturEC program. This includes inverted electrical resistivity data, model resolution from the inversion, point moisture information, and conductivity-saturation calibration information. The data are from a field site in Coventry, CT outfitted with five, Decagon 5TE moisture probes, arranged along a 28 m transect at different depths. The data represent a slice in time after irrigating the soil for 12 hours.
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Chemical data from 43,334 wells were used to examine the role of land surface-soil-aquifer connections in producing elevated manganese concentrations (>300 µg/L) in United States (U.S.) groundwater. Elevated manganese and dissolved organic carbon (DOC) concentrations were associated with shallow water tables and organic-carbon rich soils, suggesting soil-derived DOC supported manganese reduction. Manganese and DOC concentrations were higher near rivers than farther from rivers, suggesting river-derived DOC also supported manganese reduction. Anthropogenic nitrogen may also affect manganese concentrations in groundwater. In parts of the northeastern U.S. containing poorly buffered soils, ~40% of the samples with...
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The National Water Quality Network (NWQN) for Rivers and Streams includes 111 surface-water river and stream sites monitored by the U.S. Geological Survey (USGS) National Water Quality Program, National Water-Quality Assessment (NAWQA) Project. The NWQN includes 20 large river coastal sites, 41 large river inland sites, 30 wadeable stream reference sites, 10 wadeable stream urban sites, and 10 wadeable stream agricultural sites. In addition to the 111 NWQN sites, 3 large inland river monitoring sites from the USGS Cooperative Water Program are also included in this annual water-quality reporting Web site to be consistent with previous USGS studies of nutrient transport in the Mississippi-Atchafalaya River Basin....
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NOTE: the Stream Channel and Floodplain Metric Toolbox has been superseded by a newer tool, FACET. The Stream Channel and Floodplain Metric Toolbox was developed to demonstrate the feasibility of mapping fluvial geomorphic features from high-resolution bare-earth elevation data. A Python toolbox for ArcGIS was built to calculate key metrics describing channel and floodplain geometry. Channel and Floodplain Metric Toolbox provides this ability in an automated fashion, allowing for regional analyses based solely on digital elevation models (DEMs). This manual describes the general operation of the toolbox and technical details describing the specific algorithms. The toolbox works best in a watershed no larger than...
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The National Hydrogeologic Grid (NHG) dataset includes a raster and vector representation of 1-km cells defining a uniform grid that encompasses the continental United States. The value of each cell of the raster dataset corresponds to the 1-km cell number defined as 'cellnum' in the attributes of the vector data. The NHG consists of 4,000 rows and 4,980 columns, numbered from the top left corner of the grid, to correspond to the traditional row and column numbering system of the MODFLOW groundwater-flow simulation code (Hughes and others, 2017; Langevin and others, 2017). The Albers projection was chosen for the NHG because of the capability to best preserve area, which is crucial in the computation of volume for...
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The dataset is composed of three data tables containing information from electrofishing and pebble count surveys conducted in tributaries to the Mohawk River in central and eastern New York during 2019. The first table contains information on the sampled reaches, the second table contains fish collection data, and the third table contains pebble count data.
Analytical recovery is the concentration of an analyte measured in a water-quality sample expressed as a percentage of the known concentration added to the sample (Mueller and others, 2015). Analytical recovery (hereafter referred to as “recovery”) can be used to understand method bias and variability and to assess the temporal changes in a method over time (Martin and others, 2009). This data set includes two tables: one table of field spike recovery data and one table of lab reagent spike recovery data. The table of field spike recovery data includes results from paired environmental and spike samples collected by the National Water Quality Program, National Water-Quality Assessment (NAWQA) Project in surface...
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This dataset is a 900 meter resolution raster representing the depth in meters at which the probability of oxic groundwater occurring is at least 50%, for the Chesapeake Bay watershed. Oxic groundwater was defined as containing O2 values >= 2 mg/L. The values range from 0-100 meters, with 100 representing all depths greater than 100. It was created in support of models which define the oxic/suboxic interface, which is important for determining pathways for nitrate transport in groundwater and in streams. The dataset was derived from a logistic regression of variables representing surficial geology, position in the flow system, and soil drainage.
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A soil-water balance model (SWB) was developed to estimate potential recharge and surface runoff for portions of the Cannon River drainage basin, southeast Minnesota, for the period 1995 through 2010. The model was used in the creation of Cannon River streamflow distribution maps, as part of the associated report, U.S. Geological Survey Scientific Investigations Map 2017-3390 (http://dx.doi.org/10.3133/SIM20173390). This SWB model was calibrated using three independent hydrograph separation models: PART, Hysep-fixed, and Hysep-sliding method. The basic framework for this model was the statewide Minnesota SWB potential recharge model, described, calibrated, and documented as part of U.S. Geological Survey Scientific...


map background search result map search result map Depth to 50 percent probability of oxic conditions, Chesapeake Bay Watershed Soil-Water-Balance model data sets for the Cannon River drainage basin, southeast Minnesota, 1995-2010 Generalized lithology for the conterminous United States Evaluation of the Radar Stage Sensor Manufactured by Forest Technology Systems, Incorporated—Results of Laboratory and Field Testing Stream Channel and Floodplain Metric Toolbox Example data from MoisturEC: a new R program for moisture content estimation from electrical conductivity data National-Scale Grid to Support Regional Groundwater Availability Studies and a National Hydrogeologic Database Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1963-2017 Data for Elevated Manganese Concentrations in United States Groundwater, Role of Land Surface-Soil-Aquifer Connections Linking the Agricultural Landscape of the Midwest to Stream Health with Structural Equation Modeling: Model Input Data Geophysical data collected within and adjacent to the Little Wind River near Riverton, Wyoming Streamflow Observation Points in the Upper Missouri River Basin, 1973-2018 Fish community and substrate data from tributaries to the Mohawk River (ver. 2.0, January 2024) Flood inundation map geospatial datasets for Lake Ontario, New York Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA) Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 Cross-section geometry and sediment-size distribution data from the Upper Colorado River, April 6-8, 2022 Geophysical data collected within and adjacent to the Little Wind River near Riverton, Wyoming Example data from MoisturEC: a new R program for moisture content estimation from electrical conductivity data Bathymetric and topographic surveys of the Upper Colorado River, May 13, 2021, to July 26, 2023 Depth to bedrock determined from passive seismic measurements, Neversink River watershed, NY (USA) Cross-section geometry and sediment-size distribution data from the Upper Colorado River, April 6-8, 2022 Fish community and substrate data from tributaries to the Mohawk River (ver. 2.0, January 2024) Soil-Water-Balance model data sets for the Cannon River drainage basin, southeast Minnesota, 1995-2010 Flood inundation map geospatial datasets for Lake Ontario, New York Streamflow Observation Points in the Upper Missouri River Basin, 1973-2018 Depth to 50 percent probability of oxic conditions, Chesapeake Bay Watershed Linking the Agricultural Landscape of the Midwest to Stream Health with Structural Equation Modeling: Model Input Data Generalized lithology for the conterminous United States Data for Elevated Manganese Concentrations in United States Groundwater, Role of Land Surface-Soil-Aquifer Connections Stream Channel and Floodplain Metric Toolbox National-Scale Grid to Support Regional Groundwater Availability Studies and a National Hydrogeologic Database Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1963-2017