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These data were collected during a travel time and dissolved oxygen study along a 1-mile reach of the Blue River downstream from 58th Street in Kansas City, Missouri. The study was a cooperative effort between the U.S. Geological Survey (USGS), the U.S. Environmental Protection Agency Urban Waters Federal Partnership program, and the Kansas City, Missouri, Water Services Department. This is part of a larger USGS effort supporting the Middle Blue River Basin Urban Waters Federal Partnership. This data release contains continuous water-quality measurements (Blue_River_CQWM.csv), rhodamine dye sensor data (Blue_River_dye_profiles.csv), analytical data from synoptic water-quality samples (Blue_River_QWDATA.csv), manual...
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This data release presents peak-flow frequency analyses by the U.S. Geological Survey based on methods described by Eash and others (2013) for streamgages 06600100, Floyd River at Alton, Iowa; 06600300, West Branch Floyd River near Struble, Iowa; 06600500, Floyd River near James, Iowa; 06605000, Ocheyedan River near Spencer, Iowa; 06605850, Little Sioux River at Linn Grove, Iowa; 06607200, Maple River at Mapleton, Iowa; and 06607500, Little Sioux River near Turin, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analyses for these streamgages were...
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The datasets provided here are the input data used to run the Seasonal Kendall Trend (SKT) tests and Weighted Regressions on Time, Discharge, and Season (WRTDS) models. SKT tests use "annualSamplingFreqs_allSites.csv" and "wqData_screenedSitesAll.csv" which includes, for all site-parameter combinations, information on annual sampling frequencies and the screened water-quality data, respectively. The WRTDS models use "DRB.wqdata.20200521.csv", "DRB.flow.20200610.zip", and "DRB.info.20200521.csv" for calibration which includes, for all site-parameter combinations, the water-quality data, streamflow data (as separate .csv files for each site), model specifications and site information, respectively. The multisource...
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These data were collected in coordination with the U.S. Geological Survey Hydrogeophysics Branch for the National Crude Oil Spill Fate and Natural Attenuation Research Site. Water quality data were collected using an Ecomapper Autonomous Underwater Vehicle (AUV) and measured parameters include temperature, specific conductance, salinity, water density, pH, dissolved oxygen, total chlorophyll, and blue-green algae. These data are provided in two formats: a CSV file named AUV_WQ_South.csv, and in the Environmental Systems Research Institute (ESRI) shapefile format consisting of a group of files that have been compressed into a zip archive that is named AUV_WQ_South_shapefile.zip.
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A suite of geophysical methods was used along the Des Moines River, Beaver Creek, and in the Des Moines River floodplain in Des Moines, Iowa to support the hydrogeologic characterization of the alluvial aquifer associated with the river. The aquifer consists of sands and gravels underlain by weathered shale bedrock. Groundwater from the aquifer along with surface water sources are used for municipal drinking water for the City of Des Moines and surrounding communities. The raw data provided in this data release are minimally processed to filter out erroneous measurements. Data provided in this data release includes continuous resistivity profiling (CRP) and continuous seismic profiling (CSP) that were collected...
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This data release contains daily time series estimates of natural streamflow at 5,439 GAGES-II non-reference streamgages in 19 study regions across the conterminous United States from October 1, 1980 through September 30, 2017, using five statistical techniques: nearest-neighbor drainage area ratio (NNDAR), map-correlation drainage area ratio (MCDAR), nearest-neighbor nonlinear spatial interpolation using flow duration curves (NNQPPQ), map-correlation nonlinear spatial interpolation using flow duration curves (MCQPPQ), and ordinary kriging of the logarithms of discharge per unit area (OKDAR). NNDAR, MCDAR, NNQPPQ, and MCQPPQ estimates were computed following methods described in Farmer and others (2014), with...
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This dataset describes the Survey Data collected for the Planning Assistance to the States (PAS) study along Little Sugar Creek and selected tributaries, near Bella Vista, Arkansas, and Pineville, Missouri, December 2019. Little Sugar Creek is a tributary to the Elk River in Missouri that commences in Benton County, Arkansas and terminates in McDonald County, Missouri. The stream headwaters are located southeast of Garfield, Arkansas. Little Sugar Creek flows through Bella Vista, Arkansas, and runs north to its confluence with the Big Sugar Creek just south of Pineville, Missouri where it forms the Elk River. Browning Creek, Blowing Spring Creek, Spanker Creek and McKisic Creek are all tributaries to the Little...
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This dataset summarizes various sedimentary data from ten U.S. Geological Survey (USGS) surface water sites across the contiguous United States. These sites include: 01648010 Rock Creek at Joyce Road, Washington, DC 05586300 Illinois River at Florence, Illinois 06731000 Cherry Creek below Cherry Creek Lake, Colorado 06807000 Missouri River at Nebraska City, Nebraska 06935965 Missouri River at St. Charles, Missouri 08374550 Rio Grande near Castolon, Texas 08375300 Rio Grande at Rio Grande Village, Big Bend National Park, Texas 09404200 Colorado River above Diamond Creek near Peach Springs, Arizona 11447650 Sacramento River at Freeport, California 12046260 Elwha River at diversion near Port Angeles, Washington The...
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This data release includes estimates of annual and daily concentrations and fluxes for nitrate plus nitrite, total phosphorus, and suspended sediment for two sites in the Upper Macoupin Creek Basin watershed (UMCB) produced using the Weighted Regressions on Time, Discharge, and Season -- Kalman Filter (WRTDS-K; Zhang and Hirsch, 2019) model in the Exploration of and Graphics for RivEr Trends (EGRET) package (Hirsch and De Cicco, 2015). It also includes a model archive (R scripts in Scripts.zip) used to retrieve and format the model input data and run the model. Input data, for Macoupin Creek at Highway 111 near Summerville, Illinois, and Macoupin Creek at Highway 108 near Carlinville, Illinois (U.S. Geological Survey...
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This data release contains steady-state hydraulic input files for the FluOil model (Zhu and others, 2022) that describe the lower St. Croix River between St. Croix Falls, Wisconsin, and Stillwater, Minnesota. These files are derived from the results of a steady-state one dimensional (1D) hydraulic model of the river reach at three discharges (10,000, 20,000, and 35,000 cubic feet per second (cfs)) and include the flow depth, velocity magnitude, and shear velocity along the model domain. A constant temperature of 20 degrees Celsius is also specified. The hydraulic model used to generate this dataset was originally adapted from an existing U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System...
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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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Seepage meters measurements were collected at three locations along the northern shoreline and at three locations along the southern shoreline of Crystal Lake, located in the City of Crystal Lake, Illinois on October 28-30, 2020, and November 4-5, 2020. Seepage measurements directly measure the flux for the area captured by the seepage meter. A positive (gaining) flux is assumed when the volume in the collection bag increases and negative (losing) if the volume decreases and the data can also be used to calculate the vertical hydraulic conductivity. The data provided contains the measurements collected at each location and calculations of discharge and flux at each of the seepage meters.
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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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The U.S. Geological Survey collected topographic data in cooperation with the U.S. Army Corps of Engineers to assist in the management of two recreation areas at Blue Mountain Lake and near Nimrod Lake in Arkansas. Data were collected March 3-4, 2020 using terrestrial light detection and ranging (T-lidar) surveying equipment, Global navigation Satellite System (GNSS) surveying equipment, and conventional surveying techniques. The surveyed locations had a parking area, boat ramp, and some small recreational structures. Each site was surveyed using a FARO 3D tripod-mounted T-lidar unit. Additionally, a topographic survey was conducted in order to georeference the lidar survey. These topographic data were collected...
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These data represent a Global Positioning System (GPS) survey generated using a Trimble R10 Real-Time Kinematic (RTK) and Global Navigation Satellite Systems (GNSS). The survey extends along the Cedar River streambed in Cedar Falls, Iowa, where a wastewater treatment diffuser pipe is installed. Cross-sectional representations were produced to depict stream depth and streambed elevation. Cross-sectional data should be interpreted from a downstream perspective.
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During water years 2016–2021 (a water year begins on October 1 and ends on September 30 and is designated by the year in which it ends), the U.S. Geological Survey (USGS), in cooperation with the Illinois Environmental Protection Agency (Illinois EPA), operated continuous monitoring stations on eight of the major rivers in Illinois to better quantify nutrient and sediment loadings from the State of Illinois to the Mississippi River. These eight rivers are the Illinois River, Rock River, Little Wabash River, Kaskaskia River, Vermilion River, Embarras River, Big Muddy River, and Green River. This data release presents estimates of daily nitrate, phosphorus, and suspended sediment concentrations and uncertainty over...
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As part of the Great Lakes Restoration Initiative (GLRI) project template 774-18 entitled “Development of monitoring and response methodologies, and implementation of an Adaptive Management Framework to work towards Eradication of Grass Carp in Lake Erie” an integrated bathymetric/hydrodynamic/water-quality survey of the Maumee River (Ohio) was completed by the U.S. Geological Survey (USGS) in the summer of 2019. These data were collected to inform the development of a one-dimensional hydraulic model and associated Fluvial Egg Drift Simulator (FluEgg) model of the Maumee River downstream from Defiance, Ohio. The data contained in this data release were collected by the USGS Ohio-Kentucky-Indiana Water Science Center...
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Amur honeysuckle bush (Lonicera maackii) and Morrow's honeysuckle (Lonicera morrowii) are two of the most aggressively invasive species to become established throughout areas along the Blue River in metropolitan Kansas City, Missouri. These two large, spreading shrubs (locally referred to as bush honeysuckle in the Kansas City metropolitan area) colonize the understory, crowd out native plants, and may be allelopathic, producing a chemical that restricts growth of native species. Removal efforts have been underway for more than a decade by local conservation groups such as Bridging The Gap and Heartland Conservation Alliance, who are concerned with the loss of native species diversity associated with the spread...
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The U.S. Geological Survey (USGS) in cooperation with the U.S. Army Corps of Engineers (USACE) did a bathymetric survey of the lower reach of the Maumelle River upstream of Lake Maumelle, near Little Rock, Arkansas, from July 9—11, 2019. Channel bed elevations (thalweg) were collected to support a USACE modeling effort on a 5-mile reach of the Maumelle River. In parts of the reach where the water was partially impounded, depth data were collected using an acoustic Doppler current profiler (ADCP) coupled with a survey-grade deferentially corrected global positioning system (GPS) receiver. Depth data were converted to channel bed elevation data by subtracting the depth value from the GPS derived water-surface...
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Note: this data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P9RZ8GHO. On November 4-7, 2019, bathymetric data were collected on the Sandusky River between Tiffin and Fremont, Ohio. Wading measurements were made at cross-sections shallower than about 1 foot using a survey pole with a Trimble R10 Global Navigation Satellite System (GNSS) receiver connected to the Ohio Department of Transportation (ODOT) real-time virtual reference station (VRS) network. Cross-sections that were deeper than about 1 foot were measured with a CEE-ECHO single-beam echosounder mounted to a canoe. A Trimble R10 GNSS receiver connected to the ODOT real-time VRS network was mounted directly above...


map background search result map search result map Maps and supporting data for the delineation of Bush Honeysuckle by remote sensing in the Middle Blue River Basin, Kansas City, Missouri, 2016–17 Channel bed elevations for a 5-mile reach on the Maumelle River upstream of Lake Maumelle near Little Rock, Arkansas, 2019 Bathymetric and water quality data on the Sandusky River between Tiffin and Fremont, Ohio, November 4-7, 2019 Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Terrestrial Light Detection and Ranging Topographic Survey Data for Two Recreation Areas Near Blue Mountain Lake and Nimrod Lake, Arkansas, March 2020 Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Statistical daily streamflow estimates at GAGES-II non-reference streamgages in the conterminous United States, Water Years 1981-2017 Ecomapper water-quality data at unnamed south lake near Bemidji, Minnesota, 2019 Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Geophysical Data Collected in the Des Moines River, Beaver Creek, and the Des Moines River Floodplain, Des Moines, Iowa, 2018 Travel Time and Dissolved Oxygen Data from August 2020 Along a 1-Mile Reach of the Blue River near 58th Street, Kansas City, Missouri Estimated nutrient and sediment concentrations from major rivers in Illinois based on continuous monitoring from October 1, 2015, through September 30, 2021 Nutrient and Sediment Concentrations, Loads, and Yields in the Upper Macoupin Creek Watershed, Water Years 2018–2021 Velocity and Water-Quality Data for the Maumee River Between Defiance and Toledo, Ohio, 2019 Lower St. Croix River Steady State Hydraulic Inputs for FluOil Workshop Seepage Meter Data Collected at Crystal Lake, City of Crystal Lake, Illinois, 2020 Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 U.S. Geological Survey Wastewater Diffuser Survey in Cedar Falls Ecomapper water-quality data at unnamed south lake near Bemidji, Minnesota, 2019 Travel Time and Dissolved Oxygen Data from August 2020 Along a 1-Mile Reach of the Blue River near 58th Street, Kansas City, Missouri Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021 Seepage Meter Data Collected at Crystal Lake, City of Crystal Lake, Illinois, 2020 Channel bed elevations for a 5-mile reach on the Maumelle River upstream of Lake Maumelle near Little Rock, Arkansas, 2019 U.S. Geological Survey Wastewater Diffuser Survey in Cedar Falls Geophysical Data Collected in the Des Moines River, Beaver Creek, and the Des Moines River Floodplain, Des Moines, Iowa, 2018 Survey Data Collection for the Planning Assistance to the States Study along Little Sugar Creek and Selected Tributaries near Bella Vista, Arkansas, and Pineville, Missouri, December 2019 Lower St. Croix River Steady State Hydraulic Inputs for FluOil Workshop Terrestrial Light Detection and Ranging Topographic Survey Data for Two Recreation Areas Near Blue Mountain Lake and Nimrod Lake, Arkansas, March 2020 Nutrient and Sediment Concentrations, Loads, and Yields in the Upper Macoupin Creek Watershed, Water Years 2018–2021 Velocity and Water-Quality Data for the Maumee River Between Defiance and Toledo, Ohio, 2019 Peak-flow frequency analysis for seven selected U.S. Geological Survey streamgages in the Floyd and Little Sioux River Basins, Iowa, based on data through water year 2019 Water-quality trends for rivers and streams in the Delaware River Basin using Weighted Regressions on Time, Discharge, and Season (WRTDS) models, Seasonal Kendall Trend (SKT) tests, and multisource data, Water Year 1978-2018 (input data) Estimated nutrient and sediment concentrations from major rivers in Illinois based on continuous monitoring from October 1, 2015, through September 30, 2021 Data for Field Evaluation of the Sequoia Scientific LISST-ABS Acoustic Backscatter Sediment Sensor Data to support Leveraging machine learning to automate regression model evaluations for large multi-site water-quality trend studies Statistical daily streamflow estimates at GAGES-II non-reference streamgages in the conterminous United States, Water Years 1981-2017