DOE Data Explorer title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: INGENIOUS - Great Basin Regional Dataset Compilation

Abstract

This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while reducing the exploration and development risks for all geothermal resources. These datasets will be used in INGENIOUS as input features for predicting geothermal favorability throughout the Great Basin study area. Datasets consist of shapefiles, geotiffs, tabular spreadsheets, and metadata that describe: 2-meter temperature probe surveys, quaternary faults and volcanic features, geodetic shear and dilation models, heat flow, magnetotellurics (conductance), magnetics, gravity, paleogeothermal features (such as sinter and tufa deposits), seismicity, spring and well temperatures, spring and well aqueous geochemistry analyses, thermal conductivity, and fault slip and dilation tendency. For additional project information, see the INGENIOUS project site linked in the submission. Terms of use: These datasets are provided "as is", and the contributors assume no responsibility for any errors or omissions. The user assumes the entire risk associated with their use of these data and bears all responsibility in determining whether these data are fit for their intended use. These datasets may be redistributed with attribution (see citation information below). Please refer tomore » the license information on this page for full licensing terms and conditions.« less

Authors:
ORCiD logo ; ORCiD logo ; ; ; ORCiD logo ; ; ; ; ; ; ; ORCiD logo ; ; ; ; ; ; ; ; more »; ; ; « less
  1. GBCGE, NBMG, UNR
Publication Date:
Other Number(s):
1391
DOE Contract Number:  
EE0009254
Research Org.:
DOE Geothermal Data Repository; GBCGE, NBMG, UNR
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
Collaborations:
GBCGE, NBMG, UNR
Subject:
15 GEOTHERMAL ENERGY; 2-meter probe; Soda Lake; california; compilation; conductance; conductivity; data; detrended elevation; dilation; discovery; earthquakes; elevation trend; energy; exploration; faults; favorability; geochemistry; geodetics; geospatial; geothermal; geotiff; gravity; great basin; grids; heat flow; idaho; ingenious; machine learning; magnetics; magnetotellurics; modeling; nevada; oregon; paleogeothermal; play fairway; play fairway analysis; quaternary faluts; quaternary volcanics; raw data; regional; seismic data; seismicity; shapefiles; shear; sinter; slip; slip and dilation; springs; temperature; thermal conductivity; tufa; undiscovered systems; utah; volcanics; wells
OSTI Identifier:
1881483
DOI:
https://doi.org/10.15121/1881483

Citation Formats

Ayling, Bridget, Faulds, James, Morales Rivera, Anieri, Koehler, Richard, Kreemer, Cornelis, Mlawsky, Elijah, Coolbaugh, Mark, Micander, Rachel, dePolo, Craig, Kraal, Kurt, Wagoner, Nicole, Siler, Drew, DeAngelo, Jacob, Glen, Jonathan, Peacock, Jared, Batir, Joseph, Gentry, Emilie, Berti, Claudio, Lifton, Zach, Clark, Alexandra, Kirby, Stefan, Hardwick, Christian, and Kleber, Emily. INGENIOUS - Great Basin Regional Dataset Compilation. United States: N. p., 2022. Web. doi:10.15121/1881483.
Ayling, Bridget, Faulds, James, Morales Rivera, Anieri, Koehler, Richard, Kreemer, Cornelis, Mlawsky, Elijah, Coolbaugh, Mark, Micander, Rachel, dePolo, Craig, Kraal, Kurt, Wagoner, Nicole, Siler, Drew, DeAngelo, Jacob, Glen, Jonathan, Peacock, Jared, Batir, Joseph, Gentry, Emilie, Berti, Claudio, Lifton, Zach, Clark, Alexandra, Kirby, Stefan, Hardwick, Christian, & Kleber, Emily. INGENIOUS - Great Basin Regional Dataset Compilation. United States. doi:https://doi.org/10.15121/1881483
Ayling, Bridget, Faulds, James, Morales Rivera, Anieri, Koehler, Richard, Kreemer, Cornelis, Mlawsky, Elijah, Coolbaugh, Mark, Micander, Rachel, dePolo, Craig, Kraal, Kurt, Wagoner, Nicole, Siler, Drew, DeAngelo, Jacob, Glen, Jonathan, Peacock, Jared, Batir, Joseph, Gentry, Emilie, Berti, Claudio, Lifton, Zach, Clark, Alexandra, Kirby, Stefan, Hardwick, Christian, and Kleber, Emily. 2022. "INGENIOUS - Great Basin Regional Dataset Compilation". United States. doi:https://doi.org/10.15121/1881483. https://www.osti.gov/servlets/purl/1881483. Pub date:Thu Jun 30 00:00:00 EDT 2022
@article{osti_1881483,
title = {INGENIOUS - Great Basin Regional Dataset Compilation},
author = {Ayling, Bridget and Faulds, James and Morales Rivera, Anieri and Koehler, Richard and Kreemer, Cornelis and Mlawsky, Elijah and Coolbaugh, Mark and Micander, Rachel and dePolo, Craig and Kraal, Kurt and Wagoner, Nicole and Siler, Drew and DeAngelo, Jacob and Glen, Jonathan and Peacock, Jared and Batir, Joseph and Gentry, Emilie and Berti, Claudio and Lifton, Zach and Clark, Alexandra and Kirby, Stefan and Hardwick, Christian and Kleber, Emily},
abstractNote = {This is the regional dataset compilation for the INnovative Geothermal Exploration through Novel Investigations Of Undiscovered Systems (INGENIOUS) project. The primary goal of this project is to accelerate discoveries of new, commercially viable hidden geothermal systems while reducing the exploration and development risks for all geothermal resources. These datasets will be used in INGENIOUS as input features for predicting geothermal favorability throughout the Great Basin study area. Datasets consist of shapefiles, geotiffs, tabular spreadsheets, and metadata that describe: 2-meter temperature probe surveys, quaternary faults and volcanic features, geodetic shear and dilation models, heat flow, magnetotellurics (conductance), magnetics, gravity, paleogeothermal features (such as sinter and tufa deposits), seismicity, spring and well temperatures, spring and well aqueous geochemistry analyses, thermal conductivity, and fault slip and dilation tendency. For additional project information, see the INGENIOUS project site linked in the submission. Terms of use: These datasets are provided "as is", and the contributors assume no responsibility for any errors or omissions. The user assumes the entire risk associated with their use of these data and bears all responsibility in determining whether these data are fit for their intended use. These datasets may be redistributed with attribution (see citation information below). Please refer to the license information on this page for full licensing terms and conditions.},
doi = {10.15121/1881483},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 30 00:00:00 EDT 2022},
month = {Thu Jun 30 00:00:00 EDT 2022}
}