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This dataset is part of a multi-scale assessment and classification for segments of 15 rivers of the Upper Midwest United States that meet various criteria for largeness. All rivers are tributary to the Mississippi River system. The 11,600 kilometers (km) that qualified as large were parsed into 10-kilometer-long segments and classified by major alterations (free-flowing, navigation pools, storage reservoir). The dataset also includes a statistically based, component classification based on the 10-km segments. Cluster analysis of hydrologic variables from 66 streamflow gaging stations yielded 5 clusters calculated from 5 ecohydrological metrics related to lateral connectivity with the floodplain. A separate cluster...
Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Middle Mississippi River, which simulated water surface elevations at cross sections spaced...
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The U.S. Geological Survey (USGS) collected hydroacoustic data of the St. Croix River adjacent to the Osceola (WI) boat ramp for hydrographic and benthic mapping prior to the reconstruction project implemented by the National Park Service (NPS). Acoustic Doppler Current Profiler (ADCP) measures river flow and discharge applications on inland environments. These datasets were desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat.
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Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. Small areas containing priority mussel habitat had additional collection efforts to map water velocities and bottom composition. Combining these data in a GIS can provide key components to characterizing physical benthic habitat for native mussels in a riverine environment. These information needs were highly desired by the National Park Service to more accurately assess environmental factors that influence native mussel distribution. The collaborative effort was funded by the Legislative-Citizen Commission on Minnesota Resources (LCCMR) Environment...
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We present a tabular data set representing values to estimate apparent hatch-year survival to adulthood and natal dispersal probabilities between two breeding groups of the Northern Great Plains piping plover (Charadrius melodus) used in a multievent capture-mark-resight model from 2014-2019. Focusing on the Northern Missouri River and U.S. Alkali Wetlands breeding groups. In addition, several covariates were included representing habitat and social variables.
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We present a tabular data set representing values used to evaluate hypotheses of breeding habitat selection for immigrants and returning Northern Great Plains piping plovers (Charadrius melodus) from 2014 – 2019. The associated manuscript uses network analysis approach to evaluate five hypotheses of habitat selection. In this approach breeding locations were nodes and successive year breeding attempts form the edges (immigration) and self-loops (fidelity). Included in the dataset are covariates of habitat amount, conspecific density, and habitat quality, as well as other fields used in the analysis. In addition, we include descriptive breeding location-specific metrics from the network graphs.
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This raster dataset represents normalized difference vegetation index (NDVI) values calculated from National Agricultural Imagery Program (NAIP) spectral data for the vegetated evapotranspiration (ET) unit in the groundwater discharge areas for the Amargosa Wild and Scenic River and contributing areas. Estimated groundwater discharge by ET also is presented.
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Sediment inputs to Lake Mills, on the Elwha River, Washington, were measured from 1927 to 2016. These measurements represent the annual total sediment load, in tonnes per year, that were input into Lake Mills and partially trapped by Glines Canyon dam. The sediment was allowed to erode and be transported down-river by the removal of the Glines Canyon and Elwha dams during 2011 to 2014. The measurements were taken as part of a study investigating the river channel's morphological responses to the removal of two large dams - the Elwha River and Glines Canyon dams.
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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....
This dataset includes two folders of spatial data associated with the Petawawa River. The folder Petawawa_River includes five files: 1) The portion of the Ontario Integrated Hydrology Dataset Enchanced Watercouse in the river watershed, 2) the location of the study sites, 3) the delineated valley segments on the river mainstem, 4) the valley segment boundary locations, and 5) the watershed outline boundary. The folder Petawawa_SiteCAT includes the upstream catchment area for each study site.
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These data include geospatial files (shapefiles and orthorectified raster images) and an input hydrograph (csv) for a 1-dimensional unsteady hydrologic model. Shapefiles consist of active channel boundarys and channel centerlines of six reaches of the LCR beginning ~4.5 km above Grand Falls, AZ, and ending ~12.8 km downstream from Cameron, AZ. These reaches are (1) the ~4.5 km above Grand Falls reach, (2) the 1.5km below Grand Falls reach, (3) the ~18.8 km Black Falls reach, (4) the ~16.5 km above Cameron reach, (5) the ~4.7 km Cameron to Moenkopi reach, and (6) the ~8.1 km below Moenkopi reach. Raster images consist of orthorectified aerial photograph mosaics between 1933/34 and 1992. Scans of the images were acquired...
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This data release includes three categories of data that were compiled as part of a study of sediment and solute transport and landscape denudation in watersheds of western Oregon and northwestern California: 1) mean annual loads of suspended sediment, total suspended solids, and silicate solutes at fixed water-quality stations; 2) fluvial transport of bedload, suspended sediment, and silicate solutes; and 3) mean concentrations of silicate solutes at fixed water-quality stations.
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This dataset describes the location of channel heads survyed in two headwater watersheds in Clarksburg, Montgomery County, Maryland, and the digital elevation models derived from light detection and ranging (lidar) covering the two watersheds. The digital elevation models were used to derive topographic attributes used to delineate drainage networks that were then assessed for accuracy using the field-surveyed channel heads. First posted - January 21, 2021 (available from author) Revised - October 15, 2021 (version 2.0)
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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1...
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A machine learning streamflow (MLFLOW) model was developed in R (model is in the Rscripts folder) for modeling monthly streamflow from 2012 to 2017 in three watersheds on the Wyoming Range in the upper Green River basin. Geospatial information for 125 site features (vector data are in the Sites.shp file) and discrete streamflow observation data and environmental predictor data were used in fitting the MLFLOW model and predicting with the fitted model. Tabular calibration and validation data are in the Model_Fitting_Site_Data.csv file, totaling 971 discrete observations and predictions of monthly streamflow. Geospatial information for 17,518 stream grid cells (raster data are in the Streams.tif file) and environmental...
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These data consist of rectified aerial photographs, measurements of active channel width, measurements of river and floodplain bathymetry and topography, and ancillary data. These data are specific to the corridor of the Green River in Canyonlands National Park between Horseshoe Canyon and Deadhorse Canyon, Utah. The time period for these data are 1940 to 2018. The 'Channel Width' shapefile data are measurements of the active channel width of the Green River at 1-km intervals in and near Canyonlands National Park, Utah. The 'Mineral Bottom' csv data are river channel cross-sections for a 3-km study reach of the Green River upstream from Mineral Bottom, Utah. The study reach is near the mouth of Hell Roaring Canyon,...
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The 'Channel Width' shapefile data are measurements of the active channel width of the Green River at 1-km intervals in and near Canyonlands National Park, Utah. The active channel was defined as the area of the wetted, or inundated, channel as visible on aerial photographs plus the area of bare (free of vegetation) sand and gravel bars. The active channel for each aerial photograph series was hand digitized on a computer screen in ArcGIS version 9.2. The 'Mineral Bottom' csv data are river channel cross-sections for a 3-km study reach of the Green River upstream from Mineral Bottom, Utah. The study reach is near the mouth of Hell Roaring Canyon, 5 km upstream from the Mineral Bottom boat ramp, which is 85 km upstream...
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The National Water Quality Network (NWQN) for Rivers and Streams includes 110 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 9 wadeable stream agricultural sites. In addition to the 110 NWQN sites, 35 sites from the USGS Cooperative Water Program are also included in this data release. This data release provides streamflow, nutrient, pesticide and sediment data collected and analyzed by NWQN and other historical water-quality networks from 1950-2020....
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From 20 May - 8 June 2021, a Virginia Tech team of 2-3 sampled the macroinvertebrate community in 30 Shenandoah Valley streams (Virginia and West Virginia, USA) as part of a larger stream-health study including other teams who surveyed geomorphology, water quality, flow, temperature,fish community, and fish health at the same 30 streams. The macroinvertebrate community team also characterized the habitat units sampled for macroinvertebrates. At each stream, we sampled macroinvertebrates in two ways:1) in each stream we took 5 slack samples in riffles according to NAWQA protocol, and 2) we selected the most available and productive habitat where we used the Slack sampler to collect 5 additional samples in wood debris...
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Water temperature data were collected in summer 2021 and 2023 at the confluences of Indian Creek and Duncan Springs in the Pend Oreille River. Continuously recording temperature loggers were deployed near the substratum and near the surface of the water column. This data release supersedes Mejia, F.H., Torgersen, C.E., Berntsen, E.K., and Johnsen, A., 2022, Spatial and temporal variability of summer water temperature at cool-water areas in the Pend Oreille River, Washington: U.S. Geological Survey data release, https://doi.org/10.5066/P9RZKLB0. Please contact fresc_outreach@usgs.gov for access.


map background search result map search result map Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1980-2015 Science to Inform Management of Floodplain Conservation Lands under Non-Stationary Conditions Upstream sediment contributions to Lake Mills on the Elwha River, Washington, 1926 to 2016 Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, Petawawa River Spatial Data Geomorphic Change Data for the Little Colorado River, Arizona, USA Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Segment-scale classification, large rivers of the Upper Midwest United States Channel narrowing data for the lower Green River in the Canyonlands region, Utah, USA Water-quality conditions related to bedload, suspended sediment, and silicate solutes in watersheds of western Oregon and northwestern California Geomorphic data for the Green River in Canyonlands, Utah, USA (ver. 1.0, June 2020) SACN Osceola Boat Landing: 2019 Acoustic Doppler Current Profiler (ADCP) Data Input data, model output, and R scripts for a machine learning streamflow model on the Wyoming Range, Wyoming, 2012–17 St. Croix National Scenic Riverway, ADCP Flow Diffusion of the St. Croix River near Prescott, WI, 20190828 Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1950-2020 Vegetation index corresponding to vegetated areas in the groundwater discharge areas for the Amargosa Wild and Scenic River and contributing areas, Inyo and San Bernardino Counties, California Piping plover hatch-year survival and natal dispersal probabilities in the Northern Great Plains, USA 2014-2019 Spatial and temporal variability of summer water temperature at cool-water areas in the Pend Oreille River, Washington (ver. 2.0, March 2024) Piping plover breeding habitat selection in the Northern Great Plains, USA, 2014–2019 Macroinvertebrate communities in Shenandoah Valley streams, 2021 SACN Osceola Boat Landing: 2019 Acoustic Doppler Current Profiler (ADCP) Data Spatial and temporal variability of summer water temperature at cool-water areas in the Pend Oreille River, Washington (ver. 2.0, March 2024) St. Croix National Scenic Riverway, ADCP Flow Diffusion of the St. Croix River near Prescott, WI, 20190828 Ephemeral channel heads and digital elevation models used to extract stream networks in Clarksburg, MD (ver. 2.0, October 2021) Upstream sediment contributions to Lake Mills on the Elwha River, Washington, 1926 to 2016 Channel narrowing data for the lower Green River in the Canyonlands region, Utah, USA Geomorphic data for the Green River in Canyonlands, Utah, USA (ver. 1.0, June 2020) Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, Petawawa River Spatial Data Geomorphic Change Data for the Little Colorado River, Arizona, USA Macroinvertebrate communities in Shenandoah Valley streams, 2021 Science to Inform Management of Floodplain Conservation Lands under Non-Stationary Conditions Water-quality conditions related to bedload, suspended sediment, and silicate solutes in watersheds of western Oregon and northwestern California Piping plover breeding habitat selection in the Northern Great Plains, USA, 2014–2019 Piping plover hatch-year survival and natal dispersal probabilities in the Northern Great Plains, USA 2014-2019 Segment-scale classification, large rivers of the Upper Midwest United States Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1980-2015 Nutrient and pesticide data collected from the USGS National Water Quality Network and previous networks, 1950-2020