Electrical Conductance Maps of the Great Basin, USA

Images of subsurface electrical conductivity are useful for locating fluids and other electrically conductive phases at depth in the Earth. This data release presents electrical conductance maps estimated from a 3D model of the Great Basin, USA, in five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth range. Great Basin electrical conductivity is estimated through 3D inverse modeling of over 800 publicly available magnetotelluric (MT) transfer functions. The transfer functions can be found on the electromagnetic transfer function repository hosted by the Incorporated Research Institutions of Seismology (IRIS) data management center (https://ds.iris.edu/spud/emtf, Kelbert et al. (2011) and Kelbert et al. (2018)), the geothermal data repository (https://gdr.openei.org/home), and Science Base. The inversion code ModEM (Egbert et al., 2012; Kelbert et al., 2014), run on the U.S. Geological Survey's high-performance computer Yeti, provides estimate of subsurface 3D electrical conductivity.
The following conductance layers are estimated: - gb_conductance_surface_tp.tif [2 - 12 km depth]
- gb_conductance_middle_crust_tp.tif [12 - 20 km depth] - gb_conductance_lower_crust_tp.tif [20 - 50 km depth] - gb_conductance_upper_mantle_tp.tif [50 - 90 km depth] - gb_conductance_mantle_tp.tif [90 - 200 km depth]
This work was undertaken as part of the INGENIOUS (Innovative Geothermal Exploration through Novel Investigations of Undiscovered Systems) project funded by the U.S. Department of Energy Geothermal Technologies Office awarded to the University of Nevada, Reno. INGENIOUS is a multi-disciplinary, multi-institution effort to develop new methodologies and best practices to accelerate the discovery of new, commercially viable geothermal resources. This work was also supported by the U.S. Geological Survey Geothermal Resources Investigations Project (GRIP).

Data and Resources

Field Value
accessLevel public
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identifier USGS:62979746d34ec53d276c113b
metadata_type geospatial
modified 20220623
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publisher U.S. Geological Survey
publisher_hierarchy Department of the Interior > U.S. Geological Survey
resource-type Dataset
source_datajson_identifier true
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theme {geospatial}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • conductivity
  • electromagnetic-surveying
  • energy-resources-program
  • geo
  • geology-minerals-energy-and-geophysics-science-center
  • geophysics
  • geoscientificinformation
  • geoss
  • geothermal
  • gmegsc
  • grip
  • magnetic-field-earth
  • magnetotelluric-surveying
  • magnetotellurics
  • mt
  • national
  • north-america
  • u-s-geothermal-resources-investigations-project
  • united-states
  • usgs-62979746d34ec53d276c113b
isopen False
license_id notspecified
license_title License not specified
maintainer Jared Peacock
maintainer_email jpeacock@usgs.gov
metadata_created 2025-11-20T05:31:21.523023
metadata_modified 2025-11-20T05:31:21.523028
notes Images of subsurface electrical conductivity are useful for locating fluids and other electrically conductive phases at depth in the Earth. This data release presents electrical conductance maps estimated from a 3D model of the Great Basin, USA, in five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth range. Great Basin electrical conductivity is estimated through 3D inverse modeling of over 800 publicly available magnetotelluric (MT) transfer functions. The transfer functions can be found on the electromagnetic transfer function repository hosted by the Incorporated Research Institutions of Seismology (IRIS) data management center (https://ds.iris.edu/spud/emtf, Kelbert et al. (2011) and Kelbert et al. (2018)), the geothermal data repository (https://gdr.openei.org/home), and Science Base. The inversion code ModEM (Egbert et al., 2012; Kelbert et al., 2014), run on the U.S. Geological Survey's high-performance computer Yeti, provides estimate of subsurface 3D electrical conductivity. The following conductance layers are estimated: - gb_conductance_surface_tp.tif [2 - 12 km depth] - gb_conductance_middle_crust_tp.tif [12 - 20 km depth] - gb_conductance_lower_crust_tp.tif [20 - 50 km depth] - gb_conductance_upper_mantle_tp.tif [50 - 90 km depth] - gb_conductance_mantle_tp.tif [90 - 200 km depth] This work was undertaken as part of the INGENIOUS (Innovative Geothermal Exploration through Novel Investigations of Undiscovered Systems) project funded by the U.S. Department of Energy Geothermal Technologies Office awarded to the University of Nevada, Reno. INGENIOUS is a multi-disciplinary, multi-institution effort to develop new methodologies and best practices to accelerate the discovery of new, commercially viable geothermal resources. This work was also supported by the U.S. Geological Survey Geothermal Resources Investigations Project (GRIP).
num_resources 2
num_tags 23
title Electrical Conductance Maps of the Great Basin, USA