This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 ® and R10 ® receivers while wading the channel at xs5. The survey data were post-processed by performing the National Oceanic and Atmopheric Administration Online Positioning User Service (OPUS) correction of the static observations collected by the base and adjusting all the survey points accordingly. The survey data were exported to comma separated text (.csv) files, and the resulting file contains a survey point identification, spatial coordinates, elevations in meters above North American Vertical Datum of 1988, and a descriptive code for each point number. The data release also provides a channel cross-sectional area for each river stage in 0.01-meter increments derived from the survey data.

This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 and R10 receivers while wading the channel at cross section 5. The survey data were postprocessed by performing the National Oceanic and Atmospheric Administration Online Positioning User Service (OPUS) correction of the static observations collected by the base and adjusting all the survey points accordingly. The survey data were exported to comma separated text (.csv) files, and the resulting file contains a survey point identification, spatial coordinates, elevations in meters above North American Vertical Datum of 1988, and a descriptive code for each point number. The data release also provides a channel cross-sectional area for each river stage in 0.01-meter increments derived from the survey data.

This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 ® and R10 ® receivers while wading the channel at xs5. The survey data were post-processed by performing the National Oceanic and Atmopheric Administration Online Positioning User Service (OPUS) correction of the static observations collected by the base and adjusting all the survey points accordingly. The survey data were exported to comma separated text (.csv) files, and the resulting file contains a survey point identification, spatial coordinates, elevations in meters above North American Vertical Datum of 1988, and a descriptive code for each point number. The data release also provides a channel cross-sectional area for each river stage in 0.01-meter increments derived from the survey data.

This dataset contains survey data including wading and real-time kinematic (RTK) Global Positioning System (GPS) of water surface elevation and channel bed topography at cross section 5 (xs5) on March 20, 2018, which is adjacent to the U.S. Geological Survey (USGS) streamgage at Arkansas River at Parkdale, Colorado (USGS 07094500). The RTK Global Navigation Satellite System (GNSS) surveys were performed using a local base station associated with the streamgage and Trimble R8 and R10 receivers while wading the channel at cross section 5. The survey data were postprocessed by performing the National Oceanic and Atmospheric Administration Online Positioning User Service (OPUS) correction of the static observations collected by the base and adjusting all the survey points accordingly. The survey data were exported to comma separated text (.csv) files, and the resulting file contains a survey point identification, spatial coordinates, elevations in meters above North American Vertical Datum of 1988, and a descriptive code for each point number. The data release also provides a channel cross-sectional area for each river stage in 0.01-meter increments derived from the survey data.

Field-based real-time kinematic (RTK) GNSS surveys of water surface elevation and channel bed topography were collected along the Colorado River, focusing on two cross-sections from which remotely sensed data were obtained. These data were used to assess the accuracy of river bed elevations inferred from the ASTRALiTe bathymetric lidar, acquired from an unmanned aircraft system (UAS). These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The RTK GNSS surveys were performed using a local base station and Trimble R8 and R10 receivers while wading the channel at each cross-section. The survey data were post-processed by performing an OPUS correction of the static observations collected by the base and adjusting all of the survey points accordingly. The survey data were exported to a comma-separated text file and the resulting *.csv file contain for each point number a point ID, spatial coordinates, elevations, and a depth.

Field-based real-time kinematic (RTK) GNSS surveys of water surface elevation and channel bed topography were collected along the Colorado River, focusing on two cross-sections from which remotely sensed data were obtained. These data were used to assess the accuracy of river bed elevations inferred from the ASTRALiTe bathymetric lidar, acquired from an unmanned aircraft system (UAS). These data sets were collected to support research focused on developing innovative methods for non-contact measurement of river discharge based on various forms of remotely sensed data. The RTK GNSS surveys were performed using a local base station and Trimble R8 and R10 receivers while wading the channel at each cross-section. The survey data were post-processed by performing an OPUS correction of the static observations collected by the base and adjusting all of the survey points accordingly. The survey data were exported to a comma-separated text file and the resulting *.csv file contain for each point number a point ID, spatial coordinates, elevations, and a depth.

This dataset includes vertical velocity profiles and river discharge at cross section of interest where velocity measurements were taken on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Each profile contains measurements at various depths at the y-axis, which is the vertical in the cross-sectional profile where the maximum velocity (umax) occurs. These measurements were taken using a FlowTracker, FlowTracker2 ® instrument (FlowTracker2, 2020) when wading was possible; if wading was not possible, measurements were taken from a boat using an acoustic Doppler current profiler (ADCP) under stationary bed conditions. Data are presented in a comma separated value (CSV) file.

This dataset includes vertical velocity profiles and river discharge at cross section of interest where velocity measurements were taken on the Arkansas and South Platte Rivers in Colorado and the Salcha and Tanana Rivers in Alaska. Each profile contains measurements at various depths at the y-axis, which is the vertical in the cross-sectional profile where the maximum velocity (umax) occurs. These measurements were taken using a FlowTracker, FlowTracker2 ® instrument (FlowTracker2, 2020) when wading was possible; if wading was not possible, measurements were taken from a boat using an acoustic Doppler current profiler (ADCP) under stationary bed conditions. Data are presented in a comma separated value (CSV) file.

Bathymetric LiDAR technology was used to collect riverbed elevation data along the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area during October 4-7, 2021. The study area consisted of four verification reaches on the Potomac River including: 1) Williamsport accessed through the Williamsport Park boat ramp below Conococheague Creek and RTE 11 (Williamsport), 2) Big Slackwater above C&O Canal Dam #4 accessed through the Big Slackwater Boat Ramp (Dam4), 3) Four Locks above C&O Canal Dam #5 accessed through the Four Locks Boat Ramp (Dam5), and 4) Little Tonoloway Recreation Area accessed through the Hancock Boat Ramp below RTE 522. Global Navigational Satellite Systems (GNSS) were used to concurrently collect survey grade real-time kinematic (RTK) horizontal and vertical coordinates of the ADCP transducer face. The riverbed elevations were collected using the ADCP with WinRiverII to export for post-processing in Microsoft Excel and RStudio. The GNSS equipment was programmed to continuously collect an observation every 1 to 2 seconds and the ADCP was programmed to continuously collect an observation every 1 second to 2 seconds. The corrected depths from the 4 ADCP beams were averaged and then subtracted from the GNSS derived elevation of the ADCP transducer face to compute the elevation of the riverbed. All spatial data is referenced horizontally to the North American Datum of 1983 (2011) and vertically to the North American Vertical Datum of 1988 (NAVD88). Grid coordinates are projected in Universal Transverse Mercator Zone 18 North and are represented in meter units. This data release consists of four (4) comma-delimited (*.csv) files with fifteen columns each: GNSS_ID, Time_hh_mm_ss, GNSS_Northing_M, GNSS_Easting_M, Computed_Elevation_M, GNSS_Transducer_Elevation_M, Computed_Mean_Depth_M, GNSS_PDOP, GNSS_Vertical Precision_M, GNSS_Satellites, ADCP_Ensemble_ID, ADCP_Temp_C, ADCP_Pitch_Degrees, ADCP_Roll_Degrees, and Type. This data release supersedes a previous version (https://doi.org/10.5066/P9EA0IKM) which contained a constant error of +0.344 meters in the GNSS antenna height reference elevations.

Bathymetric LiDAR technology was used to collect riverbed elevation data along the Potomac River. In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area during October 4-7, 2021. The study area consisted of four verification reaches on the Potomac River including: 1) Williamsport accessed through the Williamsport Park boat ramp below Conococheague Creek and RTE 11 (Williamsport), 2) Big Slackwater above C&O Canal Dam #4 accessed through the Big Slackwater Boat Ramp (Dam4), 3) Four Locks above C&O Canal Dam #5 accessed through the Four Locks Boat Ramp (Dam5), and 4) Little Tonoloway Recreation Area accessed through the Hancock Boat Ramp below RTE 522. Global Navigational Satellite Systems (GNSS) were used to concurrently collect survey grade real-time kinematic (RTK) horizontal and vertical coordinates of the ADCP transducer face. The riverbed elevations were collected using the ADCP with WinRiverII to export for post-processing in Microsoft Excel and RStudio. The GNSS equipment was programmed to continuously collect an observation every 1 to 2 seconds and the ADCP was programmed to continuously collect an observation every 1 second to 2 seconds. The corrected depths from the 4 ADCP beams were averaged and then subtracted from the GNSS derived elevation of the ADCP transducer face to compute the elevation of the riverbed. All spatial data is referenced horizontally to the North American Datum of 1983 (2011) and vertically to the North American Vertical Datum of 1988 (NAVD88). Grid coordinates are projected in Universal Transverse Mercator Zone 18 North and are represented in meter units. This data release consists of four (4) comma-delimited (*.csv) files with fifteen columns each: GNSS_ID, Time_hh_mm_ss, GNSS_Northing_M, GNSS_Easting_M, Computed_Elevation_M, GNSS_Transducer_Elevation_M, Computed_Mean_Depth_M, GNSS_PDOP, GNSS_Vertical Precision_M, GNSS_Satellites, ADCP_Ensemble_ID, ADCP_Temp_C, ADCP_Pitch_Degrees, ADCP_Roll_Degrees, and Type. This data release supersedes a previous version (https://doi.org/10.5066/P9EA0IKM) which contained a constant error of +0.344 meters in the GNSS antenna height reference elevations.