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This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station wup118 in the Western Upper Peninsula survey region. A shapefile with...
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station eup616 in the Eastern Upper Peninsula survey region. A shapefile with...
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station eup627 in the Eastern Upper Peninsula survey region. A shapefile with...
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station pen006 in the Penokean Orogeny survey region. A shapefile with station...
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station eup608 in the Eastern Upper Peninsula survey region. A shapefile with...
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station eup612 in the Eastern Upper Peninsula survey region. A shapefile with...
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station eup523 in the Eastern Upper Peninsula survey region. A shapefile with...
In September 2018, the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, conducted high-resolution geophysical mapping and sediment sampling to determine the distribution of historical mine tailings on the floor of Lake Superior. Large amounts of waste material from copper mining, locally known as “stamp sands,” were dumped into the lake in the early 20th century, with wide-reaching consequences that have continued into the present. Mapping was focused offshore of the town of Gay on the Keweenaw Peninsula of Michigan, where ongoing erosion and re-deposition of the stamp sands has buried miles of native, white-sand beaches. Stamp sands are also encroaching onto Buffalo Reef, a large...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Buffalo Reef,
CMHRP,
Coastal and Marine Hazards and Resources Program,
DOI,
Department of the Interior,
This dataset is a LAS (industry-standard binary format for storing large point clouds) dataset containing light detection and ranging (LiDAR) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 meters (m); multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. The LAS dataset was used to create a 10-m (32.8084 feet) digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area using the "LAS dataset to raster" tool in Esri ArcGIS, version 10.7. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
This data release presents catch and effort data for Cisco Coregonus artedi and Lake Whitefish Coregonus clupeaformis commercial gill net fisheries in State of Michigan waters of Lakes Superior, Michigan, and Huron during 1929-1970. The data were used to determine if Cisco and Lake Whitefish relative abundance (commercial gill net catch per effort) were correlated (positive and negative) during the historical period. The file is in .csv format and contains columns for: (1) lake (LAKE); (2) commercial fishery management unit (MU); (3) year (YEAR); (4) gill net material used to target Lake Whitefish (WF_MAT); (5) gill net material used to target Cisco (CS_MAT); (6) gill net conversion factors (multipliers) used...
The breast feathers of 13 bald eagles were collected at 11 locations during 2014 to 2016 along rivers and sloughs on or near to Bad River tribal lands and analyzed for total mercury (Hg) concentrations. An age (7 - 9 weeks) was indicated for only two of the eagle feather samples. The eagle feathers sampled were likely all from nestlings, but this could be confirmed for only two of the eagles. Neither the collection of feather samples nor the Hg analyses were performed by the U.S. Geological Survey, New York Water Science Center.
Under the Great Lakes Restoration Initiative, the U.S. Geological Survey Mercury Research Lab (USGS MRL) conducted a multiyear assessment of mercury across the Laurentian Great Lakes. Biannual sampling was conducted across all five lakes onboard the U.S. Environmental Protection Agency (US EPA) research vessel Lake Guardian (in years 2010–2014, 2018) at pelagic sampling locations established by the long-term US EPA Great Lakes monitoring program. In addition to the regularly scheduled biannual sampling, in September 2013 and 2014 Lake Michigan and Lake Erie (respectively) were sampled with increased focus on shallow nearshore locations. Throughout these sampling efforts, sediments, mussels, surface water, and plankton...
This dataset consists of two files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach and near-shore topography of Lake Superior at the Duluth Entry, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) of the approximately1.87 square kilometer surveyed area. Lidar data were collected July 28, 2020 using a boat mounted Velodyne unit. Multibeam sonar data were collected July 28-29, 2020 using a Norbit integrated wide band multibeam system (iWBMSc) sonar unit. Methodology for data collection similar to Wagner, D.M., Lund, J.W., and Sanks, K.M., 2020 was used.
The erosion and active transport of legacy mine tailings (called “stamp sands”) are impacting native fish species and aquatic habitats on a shallow water rocky reef complex along the Keweenaw Peninsula of Michigan called Buffalo Reef. Stamp sands are spreading from an old mill site at the Town of Gay and settling on the reef. Multiple surveys have documented the underwater migration of toxic, metal-rich stamp sands and progressive burial of areas of hard/complex lakefloor, such as cobble fields. The finer-grained, muddy fraction of the mine tailings has been winnowed by waves and currents and transported to unknown locations in deeper waters offshore. High-resolution geophysical mapping of the bay in 2018 revealed...
The erosion and active transport of legacy mine tailings (called “stamp sands”) are impacting native fish species and aquatic habitats on a shallow water rocky reef complex along the Keweenaw Peninsula of Michigan called Buffalo Reef. Stamp sands are spreading from an old mill site at the Town of Gay and settling on the reef. Multiple surveys have documented the underwater migration of toxic, metal-rich stamp sands and progressive burial of areas of hard/complex lakefloor, such as cobble fields. The finer-grained, muddy fraction of the mine tailings has been winnowed by waves and currents and transported to unknown locations in deeper waters offshore. High-resolution geophysical mapping of the bay in 2018 revealed...
This dataset consists of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (lidar) data representing the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The point data is the same as that in the LAS dataset used to create a digital elevation model (DEM) for the approximate 1.87 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne VLP-16 unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected...
This dataset represents post-nourishment digital elevation models (DEMs) of the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The Lidar DEM has a 1-meter (m; 3.28084 feet) cell size and was created from a LAS dataset of terrestrial light detection and ranging (lidar) data representing the beach topography. The topobathy DEMs have a 10-meter (m; 32.8084 feet) or a 5-meter (m; 16.4042 feet) cell size, and were created from a combined LAS dataset of lidar data representing the beach topography, and single-beam and multibeam sonar data representing the bathymetry. The survey area extends approximately 0.85 kilometers (0.5 miles) offshore, for...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Bathymetry and Elevation,
Duluth,
Great Lakes,
Lake Superior,
Southwestern Lake Superior,
This dataset is a LAS dataset containing light detection and ranging (lidar) data and multibeam sonar data representing the beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The LAS data were used to create a digital elevation model (DEM) of the approximate 1.87 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne VLP-16 unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected October 5-11, 2021. Methodology similar to Wagner, D.M., Lund, J.W.,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry and Elevation,
Duluth,
Great Lakes,
Lake Superior,
Southwestern Lake Superior,
This dataset represents elevation data of the beach topography and near-shore bathymetry before placing dredge spoils on the beach at Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The data was acquired using a lidar sensor, single-beam and multibeam sonars. The dataset includes DEMs of the terrestrial beach areas and topobathy (combined terrestrial and bathymetry), LAS and XYZ files of lidar, single-beam, and multibeam point data, and 2-ft contours. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District, to evaluate movement of placed material and overall change of near-shore bathymetry after beach nourishment.
In the Great Lakes basin, there are numerous organizations undertaking scientific monitoring and research efforts with the goal of identifying threats and evaluating management strategies that will protect and restore the Great Lakes ecosystem. Coordination among all these stakeholders is a challenge, and having a centralized location where researchers and managers can identify relevant scientific activities and access fundamental information about these activities is crucial for efficient management. The Science in the Great Lakes (SiGL) Mapper was a map-based discovery tool that spatially displayed basin-wide multidisciplinary monitoring and research activities conducted by both USGS and partners from all five...
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