This geospatial data set contains the points collected by the echosounder on transects in the upstream project reach surrounding the construction area at River Mile 770.0 below Gavins Point Dam on the Missouri River in South Dakota. This survey provides channel cross sections approximately every 500 feet prior to construction of Emergent Sandbar Habitat near River Mile 770.0

This dataset represents the transects used for hydrographic surveys of Emergent Sandbar Habitat at two sites near river miles 761.4 and 769.8 downstream of Gavins Point Dam on the Missouri River.

This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 769.8. This data provides land surface elevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent Sandbar Habitat.

This geospatial data set contains an interpolated 3-D surface or, triangulated-irregular network (TIN), of the substrate surface between cross-sections 23 and 39 following construction of Emergent Sandbar Habitat near River Mile 761.4. The surface was generated from points collected by the echosounder and real-time kinematic (RTK) GPS on cross-sections in the downstream project reach surrounding the construction area at River Mile 761.4 below Gavins Point Dam on the Missouri River in South Dakota.

This dataset contains spatial datasets of topographic and bathymetric survey data in addition to data table the shapefile data collected at the 3 focal areas of research included in the Sustainable Rivers Program (SRP) in the Allegheny River that were collected and processed in collaboration with US Army Corps of Engineers (USACE). The dataset is a combination of terrestrial topographic and bathymetry data measured by Trimble R10 Model 2 GNSS survey equipment or a FlowTracker2 Acoustic Doppler Velocimeter (ADV). The FlowTracker2 was used for flow measurements and water depth and spatial location of each flow measurement point were used to calculate river bottom bathymetry at those locations. Additionally, National Elevation Dataset (NED) data, obtained from the USGS Earth Resources Observation and Science (EROS) Data Center was used for quality assurance and control of field collected data. NED data is clearly labeled in "source" column in both the shapefile and data table. Bottom track bathymetry data from measurements collected with a Sontek M9 Acoustic Doppler Current Profiler (ADCP) will be published in a future data release version.

In 2008, the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC), in cooperation with the U.S. Army Corps of Engineers conducted a geophysical and sampling survey of the riverbed of the Upper St. Clair River between Port Huron, MI, and Sarnia, Ontario, Canada. The objectives were to define the Quaternary geologic framework of the St. Clair River to evaluate the relationship between morphologic change of the riverbed and underlying stratigraphy. This report presents the geophysical and sample data collected from the St. Clair River, May 29-June 6, 2008 as part of the International Upper Great Lakes Study, a 5-year project funded by the International Joint Commission of the United States and Canada to examine whether physical changes in the St. Clair River are affecting water levels within the upper Great Lakes, to assess regulation plans for outflows from Lake Superior, and to examine the potential effect of climate change on the Great Lakes water levels ( http://www.iugls.org). This document makes available the data that were used in a separate report, U.S. Geological Survey Open-File Report 2009-1137, which detailed the interpretations of the Quaternary geologic framework of the region. This report includes a description of the suite of high-resolution acoustic and sediment-sampling systems that were used to map the morphology, surficial sediment distribution, and underlying geology of the Upper St. Clair River during USGS field activity 2008-016-FA . Video and photographs of the riverbed were also collected and are included in this data release. Future analyses will be focused on substrate erosion and its effects on river-channel morphology and geometry. Ultimately, the International Upper Great Lakes Study will attempt to determine where physical changes in the St. Clair River affect water flow and, subsequently, water levels in the Upper Great Lakes.

During autumn 2009 and winter 2010, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), conducted a hydrographic survey using a multibeam echosounder system (MBES). The survey was from river mile (RM) 130 to 142 on the Snake River, and from RM 0 to 2 on the Clearwater River areas of Lower Granite Reservoir. The survey mapped the part of the river that was accessible to the boat and the echosounder equipment, but very shallow areas along the banks that were inaccessible or too shallow to be measured with echosounder equipment were not mapped. The survey was conducted in 1-mile segments, and the data were combined to provide a continuous digital elevation dataset of the reservoir within the limitations of the project. The elevation points in the dataset were referenced to the USACE established benchmarks using the real-time kinematic-global positioning system (RTK-GPS); therefore, point elevations were unaffected by reservoir stage changes.

This data set contains land surface elevations on dry and wadeable portions of transects for the hydrographic surveys on the Missouri River below Gavins Point Dam near River Mile 761.4. This data provides land surface elevations of shallow-water, shore, and highbank for the Missouri River following construction of Emergent Sandbar Habitat.

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure G0069 on Missouri State Highway 240 at Glasgow, Missouri, in 2011, 2013, and 2017. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013), and smoothed using neighboring nodes.

These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near Structure A4574 on Missouri State Highway 5 at Boonville, Missouri, in 2011, 2013, and 2017. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal and vertical position and attitude data of the vessel from the INS in real time. Data processing required computer software to extract bathymetry data from the raw data files and to summarize and map the information. Velocity data were collected using an acoustic Doppler current profiler (ADCP) mounted on a survey vessel equipped with a differential global positioning system (DGPS). Data were collected as the vessel traversed the river along planned transect lines distributed throughout the reach. Velocity data were processed using the Velocity Mapping Toolbox (Parsons and others, 2013), and smoothed using neighboring nodes.