Skip to main content
U.S. flag

An official website of the United States government

Jared Peacock

Jared Peacock is a research geophysicist at the Geology, Minerals, Energy, and Geophysics Science Center in Menlo Park, CA. He received his Ph.D. from the University of Adelaide and B.S. and M.S. from the Colorado School of Mines, all in geophysics. Since joining the USGS In 2013, his expertise is in magnetotellurics, focusing on characterizing volcanic, geothermal, and mineral systems in 3D.

Professional Experience

  • 2016 - Present, Research Geophysicist, U.S. Geological Survey, Menlo Park, CA 

  • 2013 - 2016, Mendenhall Post Doc, U.S. Geological Survey, Menlo Park, CA

Education and Certifications

  • Ph.D., Geophysics, University of Adelaide, 2012

  • M.S., Geophysics, Colorado School of Mines, 2007

  • B.S., Geophysics, Colorado School of Mines, 2005

Science and Products

GMEG Exhibit poster

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center
Geothermal Resource Investigations Project

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
Learn More
USGS science for a changing world logo

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently
By
Community for Data Integration (CDI)
Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently
Learn More
Filter Total Items: 15

Annual repeat magnetotelluric data for monitoring The Geysers Geothermal Field, California (2021-2023) Annual repeat magnetotelluric data for monitoring The Geysers Geothermal Field, California (2021-2023)

The Geysers geothermal field in northern California is currently the largest energy producing steam field in the world. To better understand temporal subsurface changes in the steam field a geophysical monitoring project including continuous passive seimsic and repeat magnetotelluric measurements was funded by the California Energy Commission and led by Lawrence Berkeley National Lab. As...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric data from the Clear Lake Region, Northern California Magnetotelluric data from the Clear Lake Region, Northern California

The Clear Lake Volcanic Field (CLVF) in northern California is a young (2 Ma-0.008 Ma) volcanic system that could be hazardous upon eruption. Magnetotellurics (MT) is a passive electromagnetic geophysical method that measures subsurface electrical resistivity by recording the Earth's electrical response to natural time varying magnetic fields. To further understand the magmatic system of...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2, 2020 Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2, 2020

This data set consists of 19 wideband magnetotelluric (MT) and 23 transient electromagnetic (TEM) soundings collected by the U.S. Geological Survey in June 2020 as part of the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2 project. Each MT station had 4 components, 2 orthogonal magnetic induction coils and 2 horizontal orthogonal electric dipoles. Data were...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric data across the Southern San Andreas Fault Zone, California Magnetotelluric data across the Southern San Andreas Fault Zone, California

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...
By
Geology, Minerals, Energy, and Geophysics Science Center

Electrical Conductance Maps of the Great Basin, USA 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, at five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth...
By
Geology, Minerals, Energy, and Geophysics Science Center

Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon

During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center

Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada

This three-dimensional (3D) geologic map displays the subsurface geology in the upper ~4 kilometers of the Earth’s crust in the southeastern Gabbs Valley geothermal area of west-central Nevada. The 3D map was constructed by integrating the results from detailed geologic mapping, 3D gravity inversion modeling, and potential-field-geophysical studies. This effort was undertaken as part of...
By
Geology, Minerals, Energy, and Geophysics Science Center
Image: Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Filter Total Items: 35

Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023) Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023)

Understanding temporal variations in a geothermal field can support operators in decision making that pertains to optimizing production and mitigating hazards. Between 2021 and 2023, The Geysers geothermal field in northern California was monitored with an array of continuous passive seismic sensors and annual repeat magnetotelluric (MT) measurements. Each of these data sets were...
Authors
Jared R. Peacock, David Alumbaugh, Roland Gritto, Evan Um, Craig Ulrich, Michael A. Mitchell, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site

Existing geothermal production in Utah is commonly collocated with surficial expressions of geothermal heat including active hot springs and hot spring deposits. However, geothermal potential across the Great Basin region is thought to be much higher for hidden or blind geothermal systems. Accordingly, exploration techniques that can locate geothermal resources that lack surface thermal...
Authors
Christian L. Hardwick, Eugene Szymanski, Nicole R. Hart-Wagoner, S. Ashton, N. Christensen, Tait E. Earney, James E. Faulds, Jonathan M.G. Glen, A.I. Hiscock, Stefan Kirby, T. Knudsen, S. Kobe, Cary R. Lindsey, Benjamin Lyter Morbeck, Jared R. Peacock, Grant Harold Rea-Downing, William D. Schermerhorn, K. Smith
By
Geology, Minerals, Energy, and Geophysics Science Center

Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV

The northeastern portion of the Reese River basin in north-central Nevada is the focus of detailed geophysical and geological studies as part of the INGENIOUS project, which aims to identify new, commercially viable hidden geothermal systems in the Great Basin region of the western U.S. This location, herein referred to as Argenta Rise, occupies a broad (~15km wide) left-step between...
Authors
Tait E. Earney, Jonathan M.G. Glen, Jared R. Peacock, James Faulds, William D. Schermerhorn, Grant Harold Rea-Downing, Jacob Elliott Anderson, Cary R. Lindsey, Maria Richards
By
Geology, Minerals, Energy, and Geophysics Science Center

Structural setting and geothermal potential of northeastern Reese River Valley, north-central Nevada: Highly prospective detailed study site for the INGENIOUS project Structural setting and geothermal potential of northeastern Reese River Valley, north-central Nevada: Highly prospective detailed study site for the INGENIOUS project

The northeastern part of the Reese River basin situated ~15 km southeast of Battle Mountain, Nevada, scored highly in the Nevada geothermal play fairway analysis (PFA) for hosting potential hidden geothermal systems. This site (also referred to as Argenta Rise) was therefore chosen for detailed study in the INGENIOUS project (INnovative Geothermal Exploration through Novel Investigations...
Authors
James Faulds, Tait E. Earney, Jonathan M.G. Glen, John Queen, Jared R. Peacock, Nicole R. Hart-Wagoner, Kurt Kraal, Cary R. Lindsey, Quentin Burgess, Mary Hannah Giddens
By
Geology, Minerals, Energy, and Geophysics Science Center

Community for Data Integration 2020 project report Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis, and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt-metadata Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt-metadata

The Aurora software package robustly estimates single station and remote reference electromagnetic transfer functions (TFs) from magnetotelluric (MT) time series. Aurora is part of an open-source processing workflow that leverages the self-describing data container MTH5, which in turn leverages the general mt-metadata framework to manage metadata. These pre-existing packages simplify the
Authors
Karl Kappler, Jared R. Peacock, Gary D. Egbert, Andrew Frassetto, Lindsey Heagy, Anna Kelbert, Laura Keyson, Douglas W. Oldenburg, Timothy Ronan, Justin Sweet
By
Geology, Minerals, Energy, and Geophysics Science Center

MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data

MTH5 is an exchangeable and archivable format for magnetotelluric time series to better serve the community through FAIR principles. MTH5 is an HDF5 data container for magnetotelluric time series data, but could be extended to other data types. This open-source Python package provides tools for reading/writing/manipulating MTH5 files.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

MT-metadata: Open-source Python package to work with magnetotelluric metadata MT-metadata: Open-source Python package to work with magnetotelluric metadata

An open-source Python package to make reading/writing/editing magnetotelluric metadata easier.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

Science and Products

GMEG Exhibit poster

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center
Geothermal Resource Investigations Project

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
Learn More
USGS science for a changing world logo

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently
By
Community for Data Integration (CDI)
Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently
Learn More
Filter Total Items: 15

Annual repeat magnetotelluric data for monitoring The Geysers Geothermal Field, California (2021-2023) Annual repeat magnetotelluric data for monitoring The Geysers Geothermal Field, California (2021-2023)

The Geysers geothermal field in northern California is currently the largest energy producing steam field in the world. To better understand temporal subsurface changes in the steam field a geophysical monitoring project including continuous passive seimsic and repeat magnetotelluric measurements was funded by the California Energy Commission and led by Lawrence Berkeley National Lab. As...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric data from the Clear Lake Region, Northern California Magnetotelluric data from the Clear Lake Region, Northern California

The Clear Lake Volcanic Field (CLVF) in northern California is a young (2 Ma-0.008 Ma) volcanic system that could be hazardous upon eruption. Magnetotellurics (MT) is a passive electromagnetic geophysical method that measures subsurface electrical resistivity by recording the Earth's electrical response to natural time varying magnetic fields. To further understand the magmatic system of...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2, 2020 Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2, 2020

This data set consists of 19 wideband magnetotelluric (MT) and 23 transient electromagnetic (TEM) soundings collected by the U.S. Geological Survey in June 2020 as part of the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2 project. Each MT station had 4 components, 2 orthogonal magnetic induction coils and 2 horizontal orthogonal electric dipoles. Data were...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric data across the Southern San Andreas Fault Zone, California Magnetotelluric data across the Southern San Andreas Fault Zone, California

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...
By
Geology, Minerals, Energy, and Geophysics Science Center

Electrical Conductance Maps of the Great Basin, USA 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, at five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth...
By
Geology, Minerals, Energy, and Geophysics Science Center

Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon

During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center

Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada

This three-dimensional (3D) geologic map displays the subsurface geology in the upper ~4 kilometers of the Earth’s crust in the southeastern Gabbs Valley geothermal area of west-central Nevada. The 3D map was constructed by integrating the results from detailed geologic mapping, 3D gravity inversion modeling, and potential-field-geophysical studies. This effort was undertaken as part of...
By
Geology, Minerals, Energy, and Geophysics Science Center
Image: Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Filter Total Items: 35

Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023) Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023)

Understanding temporal variations in a geothermal field can support operators in decision making that pertains to optimizing production and mitigating hazards. Between 2021 and 2023, The Geysers geothermal field in northern California was monitored with an array of continuous passive seismic sensors and annual repeat magnetotelluric (MT) measurements. Each of these data sets were...
Authors
Jared R. Peacock, David Alumbaugh, Roland Gritto, Evan Um, Craig Ulrich, Michael A. Mitchell, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site

Existing geothermal production in Utah is commonly collocated with surficial expressions of geothermal heat including active hot springs and hot spring deposits. However, geothermal potential across the Great Basin region is thought to be much higher for hidden or blind geothermal systems. Accordingly, exploration techniques that can locate geothermal resources that lack surface thermal...
Authors
Christian L. Hardwick, Eugene Szymanski, Nicole R. Hart-Wagoner, S. Ashton, N. Christensen, Tait E. Earney, James E. Faulds, Jonathan M.G. Glen, A.I. Hiscock, Stefan Kirby, T. Knudsen, S. Kobe, Cary R. Lindsey, Benjamin Lyter Morbeck, Jared R. Peacock, Grant Harold Rea-Downing, William D. Schermerhorn, K. Smith
By
Geology, Minerals, Energy, and Geophysics Science Center

Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV

The northeastern portion of the Reese River basin in north-central Nevada is the focus of detailed geophysical and geological studies as part of the INGENIOUS project, which aims to identify new, commercially viable hidden geothermal systems in the Great Basin region of the western U.S. This location, herein referred to as Argenta Rise, occupies a broad (~15km wide) left-step between...
Authors
Tait E. Earney, Jonathan M.G. Glen, Jared R. Peacock, James Faulds, William D. Schermerhorn, Grant Harold Rea-Downing, Jacob Elliott Anderson, Cary R. Lindsey, Maria Richards
By
Geology, Minerals, Energy, and Geophysics Science Center

Structural setting and geothermal potential of northeastern Reese River Valley, north-central Nevada: Highly prospective detailed study site for the INGENIOUS project Structural setting and geothermal potential of northeastern Reese River Valley, north-central Nevada: Highly prospective detailed study site for the INGENIOUS project

The northeastern part of the Reese River basin situated ~15 km southeast of Battle Mountain, Nevada, scored highly in the Nevada geothermal play fairway analysis (PFA) for hosting potential hidden geothermal systems. This site (also referred to as Argenta Rise) was therefore chosen for detailed study in the INGENIOUS project (INnovative Geothermal Exploration through Novel Investigations...
Authors
James Faulds, Tait E. Earney, Jonathan M.G. Glen, John Queen, Jared R. Peacock, Nicole R. Hart-Wagoner, Kurt Kraal, Cary R. Lindsey, Quentin Burgess, Mary Hannah Giddens
By
Geology, Minerals, Energy, and Geophysics Science Center

Community for Data Integration 2020 project report Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret Hunter, Katharine Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha C. Reed, Terry Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis, and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt-metadata Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt-metadata

The Aurora software package robustly estimates single station and remote reference electromagnetic transfer functions (TFs) from magnetotelluric (MT) time series. Aurora is part of an open-source processing workflow that leverages the self-describing data container MTH5, which in turn leverages the general mt-metadata framework to manage metadata. These pre-existing packages simplify the
Authors
Karl Kappler, Jared R. Peacock, Gary D. Egbert, Andrew Frassetto, Lindsey Heagy, Anna Kelbert, Laura Keyson, Douglas W. Oldenburg, Timothy Ronan, Justin Sweet
By
Geology, Minerals, Energy, and Geophysics Science Center

MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data

MTH5 is an exchangeable and archivable format for magnetotelluric time series to better serve the community through FAIR principles. MTH5 is an HDF5 data container for magnetotelluric time series data, but could be extended to other data types. This open-source Python package provides tools for reading/writing/manipulating MTH5 files.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

MT-metadata: Open-source Python package to work with magnetotelluric metadata MT-metadata: Open-source Python package to work with magnetotelluric metadata

An open-source Python package to make reading/writing/editing magnetotelluric metadata easier.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center
Was this page helpful?