From June 19–22, 2018, bathymetric, water velocity, and water temperature data were collected on the St. Croix River between St. Croix Falls, Wisconsin, and Stillwater, Minnesota. These data were collected with a Teledyne RD Instruments RiverRay acoustic Doppler current profiler (ADCP) and georeferenced using a Trimble R10 Global Navigation Satellite System (GNSS) receiver connected to a real-time virtual reference station (VRS) network. The GNSS receiver was mounted directly above the ADCP and data were read directly into the ADCP data collection software. Bathymetry, water temperature, and detailed, three-dimensional water velocity data were collected at 26 cross sections over the 47.8-kilometer (km) survey reach with three cross sections consisting of two channels separated by an island. Data were also collected between survey cross sections along the approximate centerline of the channel(s). Not all branches of the multithreaded St. Croix River were surveyed due to access and safety concerns. The ADCP data were post-processed using the Velocity Mapping Toolbox (VMT) version 4.09 (Parsons and others, 2013). References Cited: 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 Surface Processes and Landforms, v. 38, p. 1244–1260.

From May 3–10, 2022, bathymetric and water velocity data were collected on the St. Croix River between Riverside and St. Croix Falls, Wisconsin. Bathymetry and water velocity data were collected at 2 transects for 102 cross sections over the approximately 120-kilometer (km) survey reach. Longitudinal profile bathymetry transects were also collected between each cross section. These data were collected with a Teledyne RD Instruments RiverRay acoustic Doppler current profiler (ADCP) and georeferenced using two Trimble R10 Global Navigation Satellite System (GNSS) receivers (R10). Due to field site constraints (poor cell service and long distances of travel), R10 data could not be collected using a real-time network survey or real time kinematic survey. Data was collected using a post-processed kinematic (PPK) method where one base R10 was set over a known benchmark to collect static data from the beginning to the end of the survey. The other rover R10 in the boat collected raw, continuous data at a 1-second interval. The data from both the base and rover R10s were post-processed using Trimble Business Center software version 5.80 to achieve centimeter-level accuracy. The raw ADCP data were post-processed using the Velocity Mapping Toolbox (VMT) version 4.09 (Parsons and others, 2013) and the corrected GNSS data, including water surface elevations at the time of survey were merged with VMT bathymetry output files. References Cited: 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 Surface Processes and Landforms, v. 38, p. 1244–1260.

From May 3–10, 2022, bathymetric and water velocity data were collected on the St. Croix River between Riverside and St. Croix Falls, Wisconsin. Bathymetry and water velocity data were collected at 2 transects for 102 cross sections over the approximately 120-kilometer (km) survey reach. Longitudinal profile bathymetry transects were also collected between each cross section. These data were collected with a Teledyne RD Instruments RiverRay acoustic Doppler current profiler (ADCP) and georeferenced using two Trimble R10 Global Navigation Satellite System (GNSS) receivers (R10). Due to field site constraints (poor cell service and long distances of travel), R10 data could not be collected using a real-time network survey or real time kinematic survey. Data was collected using a post-processed kinematic (PPK) method where one base R10 was set over a known benchmark to collect static data from the beginning to the end of the survey. The other rover R10 in the boat collected raw, continuous data at a 1-second interval. The data from both the base and rover R10s were post-processed using Trimble Business Center software version 5.80 to achieve centimeter-level accuracy. The raw ADCP data were post-processed using the Velocity Mapping Toolbox (VMT) version 4.09 (Parsons and others, 2013) and the corrected GNSS data, including water surface elevations at the time of survey were merged with VMT bathymetry output files. References Cited: 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 Surface Processes and Landforms, v. 38, p. 1244–1260.

Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. 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 and Natural Resources Trust Fund (ENRTF), to help maintain and enhance Minnesota’s environment and natural resources.

Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. 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 and Natural Resources Trust Fund (ENRTF), to help maintain and enhance Minnesota’s environment and natural resources.

Hydroacoustic (sonar) data were collected for the Mississippi, St. Croix, and Minnesota Rivers for the development of high-resolution bathymetry and sidescan imagery. 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 and Natural Resources Trust Fund (ENRTF), to help maintain and enhance Minnesota’s environment and natural resources.

Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In June and July 2020, the U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources and in collaboration with various cities in north- and west-central Missouri, completed bathymetric surveys of 12 lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At some lakes, supplemental data were collected in shallow areas using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary bench marks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. Mozingo Lake and Maryville Reservoir were surveyed in June 2020 as part of the group of lakes surveyed in 2020. However, extraordinary interest in the bathymetry at Mozingo Lake by the city of Maryville necessitated these data being released earlier than the other 2020 lakes (Huizinga and others, 2021, 2022). The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the remaining 10 lakes surveyed in 2020 are provided in ESRI Shapefile format (ESRI, 2021). Each of the lakes surveyed in 2020 except Higginsville has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. Data from the surveys at the Upper and Lower Higginsville Reservoirs are in two zip files on a single child page, one for the bathymetric data and one for the bathymetric quality assurance data of both lakes, and a single summary metadata file. The zip files follow the format of "####2020_bathy_pts.zip" or "####2020_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file. The various reference marks and additional points from all the lake

Water supply lakes are the primary source of water for many communities in northern and western Missouri. Therefore, accurate and up-to-date estimates of lake capacity are important for managing and predicting adequate water supply. Many of the water supply lakes in Missouri were previously surveyed by the U.S. Geological Survey in the early 2000s (Richards, 2013) and in 2013 (Huizinga, 2014); however, years of potential sedimentation may have resulted in reduced water storage capacity. Periodic bathymetric surveys are useful to update the area/capacity table and to determine changes in the bathymetric surface. In June and July 2020, the U.S. Geological Survey, in cooperation with the Missouri Department of Natural Resources and in collaboration with various cities in north- and west-central Missouri, completed bathymetric surveys of 12 lakes using a marine-based mobile mapping unit, which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Bathymetric data were collected as the vessel traversed longitudinal transects to provide nearly complete coverage of the lake. The MBES was electronically tilted in some areas to improve data collection along the shoreline, in coves, and in areas that are shallower than about 2.0 meters deep (the practical limit of reasonable and safe data collection with the MBES). At some lakes, supplemental data were collected in shallow areas using an acoustic Doppler current profiler (ADCP) mounted on a remote-controlled vessel equipped with a differential global positioning system (DGPS). Bathymetric quality-assurance data also were collected at each lake to evaluate the vertical accuracy of the gridded bathymetric point data from the MBES. As part of the survey at each of these lakes, one or more reference marks or temporary bench marks were established to provide a point of known location and elevation from which the water surface could be measured or another survey could be referenced at a later date. In addition, the elevation of a primary spillway or intake was surveyed, when present. These points were surveyed using a real-time kinematic (RTK) Global Navigation Satellite System (GNSS) receiver connected to the Missouri Department of Transportation real-time network (RTN), which provided real-time survey-grade horizontal and vertical positioning, using field procedures as described in Rydlund and Densmore (2012) for a Level II real-time positioning survey. Mozingo Lake and Maryville Reservoir were surveyed in June 2020 as part of the group of lakes surveyed in 2020. However, extraordinary interest in the bathymetry at Mozingo Lake by the city of Maryville necessitated these data being released earlier than the other 2020 lakes (Huizinga and others, 2021, 2022). The MBES data can be combined with light detection and ranging (lidar) data to prepare a bathymetric map and a surface area and capacity table for each lake. These data also can be used to compare the current bathymetric surface with any previous bathymetric surface. Data from each of the remaining 10 lakes surveyed in 2020 are provided in ESRI Shapefile format (ESRI, 2021). Each of the lakes surveyed in 2020 except Higginsville has a child page containing the metadata and two zip files, one for the bathymetric data, and the other for the bathymetric quality-assurance data. Data from the surveys at the Upper and Lower Higginsville Reservoirs are in two zip files on a single child page, one for the bathymetric data and one for the bathymetric quality assurance data of both lakes, and a single summary metadata file. The zip files follow the format of "####2020_bathy_pts.zip" or "####2020_QA_raw.zip," where "####" is the lake name. Each of these zip files contains a shapefile with an attribute table. Attribute/column labels of each table are described in the "Entity and attribute" section of the metadata file. The various reference marks and additional points from all the lake

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). High-resolution bathymetry data was surveyed using a multibeam sonar. The depth and characteristics of the riverbed are important parameters of habitat for benthic (bottom-dwelling) organisms, and are a fundamental parameter for riverine ecosystems. These datasets were desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat.

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). High-resolution bathymetry data was surveyed using a multibeam sonar. The depth and characteristics of the riverbed are important parameters of habitat for benthic (bottom-dwelling) organisms, and are a fundamental parameter for riverine ecosystems. These datasets were desired by the NPS to help inform and mitigate potential impacts to mussels or benthic habitat.