Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • Kilauea Magnetotelluric Dataset

    Metadata Updated: January 20, 2025

    In 2002 and 2003 a collaborative effort was undertaken between Lawrence Berkeley National Laboratory, Sandia National Laboratories, the USGS Menlo Park, the USGS Hawaiian Volcano Observatory, and Electromagnetic Instruments Inc. to study the Kilauea volcano in Hawaii using the magnetotelluric (MT) technique. The work was motivated by a desire to improve understanding of the magma reservoirs and conduits within Kilauea and the East and Southwest Rift zones, which has implications for understanding Kilaueas plumbing system. An improved understanding of the rift zones has implications in understanding large-scale landslides that are generated in the Hilina Slump, which produce significant impacts on coastal communities. Up to eight stations operated simultaneously, with multiple remote reference sites, and data were processed using multi-station robust processing techniques. In total, data were acquired at 70 sites over the Southwest and East rift zones. Good to excellent quality data were obtained even in the harshest conditions, such as those encountered on the fresh lava flows of the East Rift Zone (ERZ), where electrical contact resistances are on the order of 100 kOhm. This data supports the continuing efforts to increase geothermal power on the island of Hawaii.

    Each of the 70 EDI files are the MT impedance tensors for 1 site. There is also a description of the processing of the data and a site map showing the locations of each site.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date January 11, 2025
    Metadata Updated Date January 20, 2025
    Publisher Lawrence Berkeley National Laboratory
    Maintainer
    Doi 10.15121/1872965
    Identifier https://data.openei.org/submissions/7498
    Data First Published 2022-06-16T06:00:00Z
    Data Last Modified 2022-06-20T17:24:47Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/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
    Data Quality True
    Datagov Dedupe Retained 20250120155001
    Harvest Object Id 3e4c125a-d319-4f60-8595-5af173b41722
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://gdr.openei.org/submissions/1387
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-155.47528076171875,19.217999870875158,-155.054931640625,19.217999870875158,-155.054931640625,19.517601688861465,-155.47528076171875,19.517601688861465,-155.47528076171875,19.217999870875158}
    Program Code 019:006
    Projectlead Mike Weathers
    Projectnumber 37135
    Projecttitle Innovative Subsurface Learning and Hawaiian Exploration using Advanced Tomography
    Source Datajson Identifier True
    Source Hash e9efc2794e485ea58499afa597991a5ab70babe412a31fb62696c01a70b26d7c
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-155.47528076171875,19.217999870875158,-155.054931640625,19.217999870875158,-155.054931640625,19.517601688861465,-155.47528076171875,19.517601688861465,-155.47528076171875,19.217999870875158}

    Didn't find what you're looking for? Suggest a dataset here.