Brady's Geothermal Field DAS Earthquake Data
Abstract
The submitted data correspond to the vibration caused by a 3.4 M earthquake and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. Earthquake information : M 4.3 - 23km ESE of Hawthorne, Nevada Time: 2016-03-21 07:37:10 (UTC) Location: 38.479 N 118.366 W Depth: 9.9 km
- Authors:
- Publication Date:
- Research Org.:
- USDOE Geothermal Data Repository (United States); Univ. of Wisconsin, Madison, WI (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Geothermal Technologies Program (EE-4G)
- Contributing Org.:
- University of Wisconsin
- OSTI Identifier:
- 1334285
- Report Number(s):
- 848
- DOE Contract Number:
- EE0006760
- Resource Type:
- Data
- Country of Publication:
- United States
- Availability:
- GDRHelp@ee.doe.gov
- Language:
- English
- Subject:
- 15 Geothermal Energy; geothermal; Brady Hot Springs; Porotomo; Seismic; Distributed Acoustic Sensing; Earthquake; DAS; Horizontal; Vertical; geophysics; monitoring; seismicity; array; passive source; NV; EQ; induced seismicity
Citation Formats
Feigl, Kurt. Brady's Geothermal Field DAS Earthquake Data. United States: N. p., 2016.
Web. doi:10.15121/1334285.
Feigl, Kurt. Brady's Geothermal Field DAS Earthquake Data. United States. https://doi.org/10.15121/1334285
Feigl, Kurt. 2016.
"Brady's Geothermal Field DAS Earthquake Data". United States. https://doi.org/10.15121/1334285. https://www.osti.gov/servlets/purl/1334285.
@article{osti_1334285,
title = {Brady's Geothermal Field DAS Earthquake Data},
author = {Feigl, Kurt},
abstractNote = {The submitted data correspond to the vibration caused by a 3.4 M earthquake and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. Earthquake information : M 4.3 - 23km ESE of Hawthorne, Nevada Time: 2016-03-21 07:37:10 (UTC) Location: 38.479 N 118.366 W Depth: 9.9 km},
doi = {10.15121/1334285},
url = {https://www.osti.gov/biblio/1334285},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 21 00:00:00 EDT 2016},
month = {Mon Mar 21 00:00:00 EDT 2016}
}
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