Filters: Tags: Lake Superior (X)
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This dataset is comprised of three files containing northing, easting, and elevation ("XYZ") information for light detection and ranging (LiDAR) data representing beach topography and sonar data representing near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The point data is the same as that in LAS (industry-standard binary format for storing large point clouds) files that were used to create a digital elevation model (DEM) of the approximately 5.9 square kilometer (2.3 square mile) surveyed area. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). Multi-beam sonar data were collected...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
Hydroacoustic,
This dataset is a digital elevation model (DEM) of the beach topography of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 1-meter (m; 3.28084 foot [ft]) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data with an average point spacing of 0.137 m (0.45 ft). LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and methodology similar to that described by Huizinga and Wagner (2019). References: Huizinga, R.J. and Wagner, D.M., 2019, Erosion monitoring along selected bank locations of the Coosa River in Alabama using terrestrial light detection and ranging...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Great Lakes,
LAS,
All gillnet data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Gillnet Tables contain data collected from the research vessel deploying various gear used for gillnet data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Gillnet are: GN_Annulus.csv, GN_Catch.csv, GN_Effort.csv, GN_Fish.csv, GN_L, GN_LF.csv, GN_OP.csv, GN_Prey.csv, GN_Stomach.csv, LMMB_Fish_Prey.csv, and LMMB_Invert_Prey.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being...
Vegetation change is an important issue facing managers at Isle Royale National Park (ISRO). These data were created using high-resolution imagery collected in the winter of 2017 which was compared to the vegetation map of the National Park published in 2000 (project imagery collected in 1994 and 1996). These data review where vegetation cover type, density, and pattern have changed since imagery collection for the 2000 publication and provide a proposed reason for the change.
These data represent mercury (Hg), filtered total Hg (FTHg), filtered methylmercury (FMHg), particulate total Hg (PTHg), particulate methylmercury (PMHg), total mercury (THg), dissolved organic carbon (DOC) and total organic carbon (TOC) concentrations in surface water samples collected on Bad River Tribal lands. Several samples were collected at multiple locations on the Bad River and Tyler Forks Creek, and one location on Bull Gus Creek. Additionally, one sample was collected at each of four unknown locations on four Bad River tributaries and two samples at a lake of unknown location. All samples were collected during 2006 to 2016. Neither the collection of water samples nor the Hg analyses were performed by the...
This dataset includes pesticides and pesticide transformation products in 15 tributaries of the Great Lakes. Pesticides were monitored using polar organic chemical integrative samplers (POCIS) to estimate concentrations in water following standard protocols (Alvarez, 2010) in June and July 2016. POCIS extracts were analyzed for 225 chemicals (USGS National Water Quality Laboratory schedule 5437, Sandstrom and others, 2016), for which 129 chemicals also have POCIS uptake rates, allowing calculations of time-weighted mean concentration over the approximately 30 day deployment (Alvarez and others, 2008). Collectively, there were 97 chemicals detected, and time-weighted mean concentrations could be calculated for 95...
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 nmn926 in the Northern Minnesota 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 pen116 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 pen117 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 pen007 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 wup403 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 pen107 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 pen120 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 pen010 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 wup413 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 wup508 in the Western Upper Peninsula survey region. A shapefile with...
This dataset is a digital elevation model (DEM) of the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The DEM has a 10-meter (m; 32.8084 feet) cell size and was created from a LAS (industry-standard binary format for storing large point clouds) dataset of terrestrial light detection and ranging (LiDAR) data representing the beach topography and sonar data representing the bathymetry to approximately 1.3 kilometers (0.8 miles) offshore. Average point spacing of the LAS files in the dataset are as follows: LiDAR, 0.137 m; multi-beam sonar, 1.029 m; single-beam sonar, 0.999 m. LiDAR data were collected August 10, 2019 using a boat-mounted Optech ILRIS scanner and...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry and Elevation,
DEM,
Duluth,
Geomorphology,
Great Lakes,
All mensuration data represented here expand upon vessel operations (OP table) data, all of which are collected by the United States Geological Survey, Great Lakes Science Center and its partners. The Mensuration Tables contain data collected from the research vessel deploying various gear used for mensuration data collection. The database uses sample_type to indicate the gear deployed. The tables relating to Mensuration are: Mensuration.csv, MS_head_rope_depth.csv, MS_FOOT_ROPE_DEPTH, MS_Primary.csv, MS_Temperature.csv, and MS_Wingspread.csv Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time...
This data set represents initial forest communities developed for Isle Royale National Park. LANDIS-II requires an input data layer that contains the ages of each species cohort present within each cell of the landscape. To develop this layer, we matched the composition of forest inventory plots to a map of forest types, and randomly imputed U.S. Department of Agriculture Forest Inventory plots within each matching forest type
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Forest Succession,
Isle Royale National Park,
Lake Superior,
Michigan,
USGS Science Data Catalog (SDC),
This USGS data release presents historic shorelines of Lake Superior near Odanah, Wisconsin encompassing the delta complex of the Bad River from 1852 to 2013 compiled in a Geographic Information System. The coverage of the shorelines starts approximately 8 km northeast of Ashland and extends for about 40 km to approximately 3 km east of the Bad River mouth. The shorelines were derived from land survey maps, topographic maps (USGS), and aerial photographs. The data set includes 10 shorelines for the years 1852, 1934, 1939, 1953, 1963, 1979, 1986, 1992, 1999, and 2013. Detail in the initial years of the shorelines (1852, 1934) may appear to be coarser having been hand drawn. Following 1939, all the shorelines were...
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