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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 eup523 in the Eastern Upper Peninsula survey region. A shapefile with...
This dataset includes magnetotelluric (MT) sounding data collected in July 2019 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 24 sites along five profiles ranging from 2 to 5 kilometers in length: across Red Mountain of the Silverton caldera, within the caldera in Eureka Graben, across the south-eastern margin of the caldera along Arrastra Gulch, across the southern margin of the caldera along the western margin of Kendall Mountain, and across the south-western margin of the caldera along South Fork...
This dataset includes magnetotelluric (MT) sounding data collected in July 2019 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 24 sites along five profiles ranging from 2 to 5 kilometers in length: across Red Mountain of the Silverton caldera, within the caldera in Eureka Graben, across the south-eastern margin of the caldera along Arrastra Gulch, across the southern margin of the caldera along the western margin of Kendall Mountain, and across the south-western margin of the caldera along South Fork...
This dataset includes magnetotelluric (MT) sounding data collected in July 2019 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 24 sites along five profiles ranging from 2 to 5 kilometers in length: across Red Mountain of the Silverton caldera, within the caldera in Eureka Graben, across the south-eastern margin of the caldera along Arrastra Gulch, across the southern margin of the caldera along the western margin of Kendall Mountain, and across the south-western margin of the caldera along South Fork...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Animas River,
Arrastra Gulch,
Colorado,
DOI,
Department of the Interior,
This data release includes magnetotelluric (MT) sounding data collected in July 2018 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 22 sites along four profiles ranging from 3 to 6 kilometers in length across the north-western structural margin of the Silverton caldera in Mineral Basin (MB01-MB05), across the south-eastern margin of the caldera along Cunningham Creek (CC01-CC05), within the caldera in Eureka Graben (EG01-EG05), and within the caldera along upper Cement Creek near the Gold King mine (GK01-GK09).
This data release includes magnetotelluric (MT) sounding data collected in July 2018 in the Silverton Caldera complex, Colorado, in the Southern Rocky Mountain Volcanic Field, by the U.S. Geological Survey (USGS). Along with geologic mapping, airborne magnetics, airborne electromagnetics, and audiomagnetotellurics, the USGS collected MT data at 22 sites along four profiles ranging from 3 to 6 kilometers in length across the north-western structural margin of the Silverton caldera in Mineral Basin (MB01-MB05), across the south-eastern margin of the caldera along Cunningham Creek (CC01-CC05), within the caldera in Eureka Graben (EG01-EG05), and within the caldera along upper Cement Creek near the Gold King mine (GK01-GK09).
This U.S. Geological Survey (USGS) data release (ver. 1.2, April 2022) contains a set of previously unpublished geochemical data from project studies of primitive areas in central Idaho, including the Clear Creek-Upper Big Deer Creek Area, the Salmon River Breaks and Sawtooth Primitive Areas, and the Gospel-Hump Wilderness Area. The purpose of the USGS Idaho Primitive Area studies, conducted from 1966 to 1984, was to describe the geology, determine petrologic and geochemical characteristics, and evaluate the mineral resource potential of these primitive areas and adjacent study areas. In the case of the Idaho Primitive Area study (Cater and others, 1973), the primitive area covers 1,915 square miles; adjacent...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Big Deer Creek,
Bitterroot National Forest,
Blaine County,
Boise County,
Boise National Forest,
Airborne electromagnetic (AEM) and magnetic survey data were collected during October 2016 over a total distance of 262 line kilometers in the southeastern San Joaquin Valley near Cawelo, California. These data were collected in support of groundwater salinity mapping and hydrogeologic framework development as part of the U.S. Geological Survey California Oil, Gas, and Groundwater program and the California State Water Resources Control Board’s Oil and Gas Regional Monitoring Program. Minimally processed binary AEM data received from SkyTEM ApS were imported into the Aarhus Workbench software (Aarhus Geosoftware, Aarhus, Denmark) and processed. Filters were applied to inclinometer and spatial positioning data to...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: CAWSC,
California,
California Water Science Center,
Cawelo,
GGGSC,
Airborne electromagnetic (AEM) and magnetic survey data were collected during January and February 2021 over a distance of 3,170 line kilometers in northeast Wisconsin. These data were collected in support of an effort to improve estimates of depth to bedrock through a collaborative project between the U.S. Geological Survey (USGS), Wisconsin Department of Agriculture, Trade, and Consumer Protection (DATCP), and Wisconsin Geological and Natural History Survey (WGNHS). Data were acquired by SkyTEM Canada Inc. with the SkyTEM 304M time-domain helicopter-borne electromagnetic system together with a Geometrics G822A cesium vapor magnetometer. The survey was acquired at a nominal flight height of 30 - 40 m above terrain...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Brown County,
Calumet County,
Door County,
Fond du Lac County,
GGGSC,
The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
The U.S. Geological Survey (USGS) Geology, Geophysics and Geochemistry Science Center (GGGSC) collaborated with the USGS Science Analytics and Synthesis (SAS) team to preserve and release a subset of magnetotelluric data from the San Andreas Fault in Loma Prieta, California. The San Andreas Fault data were collected by the Branch of Geophysics, a precursor to the now GGGSC, between 1989 and 1994. The magnetotelluric data selected for this preservation project were collected in 1989 and 1990 using USGS portable truck mounted systems that measure the distribution of electrical conductivity beneath the surface of the earth. Truck mounted systems of this era output data to 3.5” discs, from which data were recovered...
Shallow subsurface electrical conductivity was mapped at selected U.S. Fish and Wildlife Service managed lands in northeast Montana and northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winters of 2017 and 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 427 line-kilometers (km) of data were acquired over an area of nearly 26 square-kilometers. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Anderson,
Beaver Lake,
Bigslough,
Divide County, ND,
Dog Leg,
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map feature extraction challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided...
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the map georeferencing challenge are provided here, as well as competition details and a baseline solution. The data were derived from published sources and are provided...
Extracting useful and accurate information from scanned geologic and other earth science maps is a time-consuming and laborious process involving manual human effort. To address this limitation, the USGS partnered with the Defense Advanced Research Projects Agency (DARPA) to run the AI for Critical Mineral Assessment Competition, soliciting innovative solutions for automatically georeferencing and extracting features from maps. The competition opened for registration in August 2022 and concluded in December 2022. Training and validation data from the competition are provided here, as well as competition details and baseline solutions. The data are derived from published sources and are provided to the public to...
This dataset is a compilation of samples collected from draining mine adits, including water and mineral precipitates, from several mines in California and Colorado. The Golinsky, Copper Bluff, and Afterthought Mines (located in northern California) and the Gold King mine (located in southern Colorado) have historically operated to recover metals including copper, lead, zinc, gold, silver and other resources (Albers and Robertson, 1961; USGS, 2005; USEPA, 2015). Data reported include field parameters, water chemistry, solid phase mineralogy and solid phase chemistry. Water samples collected from the four mine sites in 2019 were analyzed for unfiltered and filtered (0.1-0.45 micrometer) major and trace elements and...
Categories: Data;
Tags: Afterthought Mine,
California,
Colorado,
Copper Bluff Mine,
Environmental Health,
Airborne magnetic data are provided here as part of the data release "Airborne magnetic and radiometric survey, western Arkansas, 2022." This website includes the processed aeromagnetic data provided in an ASCII .csv file and geoTIFF images showing the total magnetic intensity and derivative products, including the first and second vertical derivatives, residual magnetics, and reduced-to-pole magnetics.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arkansas,
Dardanelle,
Dardanelle Lake,
Earth MRI,
Earth Mapping Resources Initiative,
This dataset includes the magnetotelluric (MT) sounding data collected in 1989 across the Idaho Batholith, Payette National Forest, Idaho, by the U.S. Geological Survey (USGS). The primary focus is on geologic elements that relate to the Late Cretaceous Idaho batholith geometry and the development of the Yellow Pine mining district and Stibnite mining area. Twenty MT soundings along one 110-km long profile were acquired during the time period of July 19-27, 1989. This study was funded by the U.S. Geological Survey's Mineral Resources Program in cooperation with the U.S. Forest Service.
This dataset includes the magnetotelluric (MT) sounding data collected in 1989 across the Idaho Batholith, Payette National Forest, Idaho, by the U.S. Geological Survey (USGS). The primary focus is on geologic elements that relate to the Late Cretaceous Idaho batholith geometry and the development of the Yellow Pine mining district and Stibnite mining area. Twenty MT soundings along one 110-km long profile were acquired during the time period of July 19-27, 1989. This study was funded by the U.S. Geological Survey's Mineral Resources Program in cooperation with the U.S. Forest Service.
This dataset includes the magnetotelluric (MT) sounding data collected in 1989 across the Idaho Batholith, Payette National Forest, Idaho, by the U.S. Geological Survey (USGS). The primary focus is on geologic elements that relate to the Late Cretaceous Idaho batholith geometry and the development of the Yellow Pine mining district and Stibnite mining area. Twenty MT soundings along one 110-km long profile were acquired during the time period of July 19-27, 1989. This study was funded by the U.S. Geological Survey's Mineral Resources Program in cooperation with the U.S. Forest Service.
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