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Electrical Conductance Maps of the Great Basin, USA

Metadata Updated: July 6, 2024

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).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/833632eb48c2a3891f973e0affdca62f
Identifier USGS:62979746d34ec53d276c113b
Data Last Modified 20220623
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id fe6b2297-69a7-4708-99f1-afedbd0c5679
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -121.0,36.0,-110.0,44.0
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash ab1eab76df32357922834da8c8d2831e4f85ccc0b8f926abe7dfa52395d83f96
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -121.0, 36.0, -121.0, 44.0, -110.0, 44.0, -110.0, 36.0, -121.0, 36.0}

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