Field measurements of flow velocity and discharge were acquired from the Middle Channel of the St. Clair River delta, Michigan, May 2-4, 2022. The velocity and discharge measurements included in this data release were obtained using a SonTek M9 acoustic Doppler current profiler (ADCP) deployed from a boat with an outboard motor. River Surveyor Live software version 4.1. was used to acquire and store the ADCP files. The ADCP data were collected along 8 transects spanning the width of the Middle Channel; two passes across the channel were made at each transect. This data release provides text files derived from the raw ADCP data files using the Velocity Mapping Toolbox (VMT) software version 4.09. Text files with projected spatial coordinates, velocity components, and depth-averaged velocity magnitudes, were generated. The spatial location of each measurement was obtained using a Trimble 540AP Global Navigation Satellite System (GNSS) receiver and real time network (RTN). The map projection and datum for these data are UTM Zone 17 N and NAD 83, respectively. This data release consists of a series comma-delimited (*.csv) text files. Each file consists of five columns: UTM_Easting, in meters, UTM_Northing, in meters, EastDAV, in m/s, and NorthDAV, in m/s and Velocity magnitude, in m/s. The first two columns are the easting and northing spatial coordinates, respectively. The third and fourth columns are the easting and northing components of the depth-averaged velocity magnitude in meters per second. The fifth column is the velocity magnitude in meters per second. An additional text file is included that provides the average discharge at the cross-section or mean of the two ADCP passes made at each transect. This field-based data set was used to determine the discharge of the Middle Channel of the St. Clair River delta and to provide depth-averaged velocities to inform hydraulic models.

This dataset contains a series of processed acoustic Doppler current profiler (ADCP) measurements collected by boat on the Upper Missouri River near Wolf Point, Montana between 2018 and 2019. The data presented here have been processed with the Velocity Mapping Toolbox (VMT) and combined into a single shapefile using ArcGIS. The dataset was collected to validate a multidimensional hydrodynamic model.

This dataset contains a series of processed acoustic Doppler current profiler (ADCP) measurements collected by boat on the Upper Missouri River near Wolf Point, Montana between 2018 and 2019. The data presented here have been processed with the Velocity Mapping Toolbox (VMT) and combined into a single shapefile using ArcGIS. The dataset was collected to validate a multidimensional hydrodynamic model.

This dataset contains a series of processed acoustic Doppler current profiler (ADCP) measurements collected by boat on the Missouri River at Searcys Bend near Columbia, Missouri on May 5, 2021, during a dye release experiment at the site. The data presented here have been processed with the Velocity Mapping Toolbox (VMT) and combined into a single shapefile using ArcGIS. The dataset was collected to validate a multidimensional hydrodynamic model.

This dataset contains a series of processed acoustic Doppler current profiler (ADCP) measurements collected by boat on the Missouri River at Searcys Bend near Columbia, Missouri on May 5, 2021, during a dye release experiment at the site. The data presented here have been processed with the Velocity Mapping Toolbox (VMT) and combined into a single shapefile using ArcGIS. The dataset was collected to validate a multidimensional hydrodynamic model.

Between the years 2000 and 2016, scientists and technicians from the U.S. Geological Survey (USGS) Columbia Environmental Research Center (CERC) have collected over 400 field-days worth of acoustic Doppler current profiler (ADCP) measurements on the Missouri and Yellowstone Rivers, primarily for the purposes of assessing physical aquatic habitat for the pallid sturgeon. Scientists and technicians collected data using boat-mounted Teledyne Rio Grande ADCPs, which were processed using customized scripting tools and archived in standardized formats. To assess longitudinal variability in depth and velocity distributions along the Missouri River, as well as compare the Missouri River to its unaltered analog, the Yellowstone River, we compiled the collected datasets into a single comma-separated value (csv) file using a series of data-processing scripts written in Python. To allow for the comparison of measurements collected only within a specific window of flow exceedance, we conducted geospatial analyses to attribute each ADCP measurement by a discharge from the most relevant USGS gage location (with the most relevant gage location being the gage located between the same major tributaries as the measurement, even if it was not the closest spatially), and assigned each measurement a flow exceedance percentile based on the relevant gage's record between 2000 and 2016. We also conducted general quality control on the data, discarding any ADCP returns where the ADCP measured a depth-averaged velocity greater than 3 meters per second or a depth greater than 16 meters; these values were considered to be an approximate upper bounds for realistic values on the Missouri and Yellowstone Rivers. The presented csv file lists individual ADCP bins for all measurements that have been archived between 2000 and 2016 by CERC scientists along with their three-dimensional velocity components, depth-averaged velocity magnitude for a given ADCP return, average channel depth for a given ADCP return (computed from four ADCP beams), and fields to classify the data by river location and flow exceedance.

The dataset contains data collected with an acoustic Doppler current profiler (ADCP) for a reach of the Missouri River at Sheepnose Bend downstream from Lexington, Missouri. Velocity data was collected using a TeleDyne Marine RD Instruments (Poway, California) Rio Grande Workhorse 600 kilohertz ADCP on June 4, 2020. Positioning used a Trimble Real-Time-Kinematic Global Navigation Satellite System. This data release consists of one shapefile with depth-averaged velocity magnitude and direction data and 40 text files that contain processed ascii velocity data exported from WinRIver II, Teledyne Marine RD Insturments (Poway, California) ADCP software.

This data release contains acoustic Doppler current profiler (ADCP) data used in generating a model of sediment flux through Carquinez Strait, CA at Benicia Bridge. The ADCP outputs binary data files containing measurement scheme, location, time, velocity, backscatter, boat heading, depth, and other parameters. There are two forms of data provided, one collected from two transects along the western side of Benicia Bridge and one collected with two stationary, upward-looking ADCPs deployed on the bed 300 m seaward of Benicia Bridge. These data are provided in ".csv" format for the transect data, and ".dat" format for the upward-facing data, as described in the READMEforCSV.txt and READMEforDAT.txt files associated with this data release.

This data release contains acoustic Doppler current profiler (ADCP) data used in generating a model of sediment flux through Carquinez Strait, CA at Benicia Bridge. The ADCP outputs binary data files containing measurement scheme, location, time, velocity, backscatter, boat heading, depth, and other parameters. There are two forms of data provided, one collected from two transects along the western side of Benicia Bridge and one collected with two stationary, upward-looking ADCPs deployed on the bed 300 m seaward of Benicia Bridge. These data are provided in ".csv" format for the transect data, and ".dat" format for the upward-facing data, as described in the READMEforCSV.txt and READMEforDAT.txt files associated with this data release.

Water velocities were measured in the Des Plaines River from approximately river mile 286 to river mile 284 on October 19–21, 2015 using Teledyne Rio Grande 1200 kHz acoustic Doppler current profilers (ADCP). The data were georeferenced with differential GPS receivers with submeter accuracy. These velocity data were collected in support of the US Army Corps of Engineers Great Lakes and Mississippi River Interbasin Study (GLMRIS), and were concurrent with a dye-tracing study. ADCP data were collected in the approach channel of the Brandon Road Lock and downstream in the main channel of the Des Plaines River to determine the spatial distribution of depth-averaged velocity in the river on October 19–21, 2015. The data have been depth-averaged over the entire measured portion of the water column and temporally averaged over 5 second intervals to reduce noise. Data were processed using the Velocity Mapping Toolbox (Parsons and other, 2013). Any data assigned a value of "9999" are invalid or missing and should not be used for analysis. The ADCP data collected on October 19 and 20, 2015 also included velocity measurements at cross sections in the Des Plaines River. These data were also processed with the Velocity Mapping Toolbox (Parsons and others, 2013) to obtain a mean velocity field for each cross section derived from one or more individual transects at each location. Parsons, D. R., Jackson, P. R., Czuba, J. A., Engel, F. L., Rhoads, B. L., Oberg, K. A., Best, J. L., Mueller, D. S., Johnson, K. K. and Riley, J. D. (2013), Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements. Earth Surf. Process. Landforms, 38: 1244–1260. doi: 10.1002/esp.3367