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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 nmn926 in the Northern Minnesota survey region. A shapefile with station...
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
This dataset consists of 122 magnetotelluric (MT) soundings collected in 2016 in the northern Harrat Rahat, located near the holy city of Al-Madinah Al-Munawarah in Saudi Arabia. These data were collected as part of a joint project between the U.S. Geological Survey and the Saudi Geological Survey examining the volcanic hazard associated with the harrat. Imaging the 3-D electrical resistivity structure of the crust and upper mantle beneath the harrat will help in understanding the magmatic system at depth.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Earth magnetic field,
Electromagnetic surveying,
GGGSC,
Geology, Geophysics, and Geochemistry Science Center,
Geophysics,
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr207 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr321 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 sfm021 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr309 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr212 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 sfm013 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr216 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr217 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr315 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 sfm017 in the Reelfoot Rift survey...
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. 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 and geologic hazard 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 rfr306 in the Reelfoot Rift survey...
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC). The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to...
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