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Guelph, ON Canada DTS Metadata

Metadata for active distributed temperature survey (DTS) experiments at Guelph, Ontario Canada. This data that this metadata refers to was taken as part of the PoroTomo project. The metadata includes information about status, location, elevation, units, and other metadata.
Coleman, T. University of Wisconsin
Dec 15, 2014
3 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field Reftek Seismometer Data

Continuous seismic recordings from six Reftek seismometers deployed at Bradys Hot Springs geothermal field in Nevada from March 9th to 30th, 2016. Data is archived in mseed format. Five of the six stations are under a moratorium.
Feigl, K. University of Wisconsin
Mar 30, 2016
3 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field Nodal Seismometer Earthquake Data

90-second records of data from 238 three-component nodal seismometer deployed at Bradys geothermal field. The time window catches an earthquake arrival. Earthquake data from USGS online catalog: Magnitude: 4.3 ml +/ 0.4 Location: 38.479 deg N 118.366 deg W +/ 0.7 km Depth: 9.9 km...
Feigl, K. University of Wisconsin
Mar 21, 2016
3 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field DTS Raw Data

The submitted data correspond to the complete raw temperature datasets captured by the distributed temperature sensing (DTS) horizontal and vertical arrays during the PoroTomo Experiment. Files in each submitted resource include: .xml (level 0): Data that includes Stokes, Anti-S...
Coleman, T. University of Wisconsin
Mar 26, 2016
4 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field DAS Earthquake Data

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. Data is available in the original .sgy formats, as well as in standardized .h5 formats. Earthquake information : M ...
Feigl, K. University of Wisconsin
Mar 21, 2016
10 Resources
0 Stars
Publicly accessible

Active Source 3D Seismic Tomography of Brady Hot Springs Geothermal Field, Nevada

We deployed a dense seismic array to image the shallow structure in the injection area of the Brady Hot Springs geothermal site in Nevada. The array was composed of 238 5 Hz, three-component nodal instruments and 8,700 m of distributed acoustic sensing (DAS) fiber-optic cable inst...
Parker, L. University of Wisconsin
Aug 09, 2017
1 Resources
0 Stars
Publicly accessible

PoroTomo Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1

This submission is a follow-up to Distributed Temperature Sensing (DTS) measurements made in Brady observation well 56-1 during the PoroTomo field experiment conducted in March, 2016. The measurements in this data set were made on August 24, 2018 over an approximately 20 hour per...
Kratt, C. et al Oregon State University
Jan 09, 2019
6 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field DAS Vibroseis Data

The submitted data correspond to the monitored vibrations caused by a vibroseis seismically exciting the ground in the vertical direction and captured by the DAS horizontal and vertical arrays during the PoroTomo Experiment. The data also include a file with the acceleration recor...
Feigl, K. University of Wisconsin
Mar 25, 2016
11 Resources
0 Stars
Publicly accessible

Brady's Geothermal Field Nodal Seismometer Data

This submission includes links to raw data, field notes, metadata, and p-wave arrival auto-picks from processed data (not provided) from the nodal seismometer array deployed at the PoroTomo Natural Laboratory in Brady's Hot Springs, Nevada during the March 2016 testing. The data i...
Parker, L. University of Wisconsin
Mar 30, 2016
7 Resources
0 Stars
Publicly accessible

PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

This dataset includes links to the PoroTomo DAS data in both SEG-Y and hdf5 (via h5py and HSDS with h5pyd) formats with tutorial notebooks for use. Data are hosted on Amazon Web Services (AWS) Simple Storage Service (S3) through the Open Energy Data Initiative (OEDI). Also include...
Feigl, K. et al University of Wisconsin
Mar 29, 2016
20 Resources
1 Stars
Curated

Brady's Geothermal Field March 2016 Vibroseis SEG-Y Files and UTM Locations

PoroTomo March 2016 Updated vibroseis source locations with UTM locations. Supersedes gdr.openei.org/submissions/824. Updated vibroseis source location data for Stages 1-4, PoroTomo March 2016. This revision includes source point locations in UTM format (meters) for all four Stage...
Feigl, K. University of Wisconsin
Mar 31, 2016
10 Resources
0 Stars
Publicly accessible

Brady's Field GPS RINEX Files 12-20-2014

CSV files with links to individual GPS RINEX files.
Kreemer, C. University of Nevada
Dec 20, 2014
4 Resources
0 Stars
Publicly accessible

BRAD and BRDY GPS Station RINEX Files 03-26-2014

GPS RINEX Files and Time-Series FTP Locations
Kreemer, C. University of Wisconsin
Jan 01, 2015
7 Resources
0 Stars
Publicly accessible

BRAD BRDY and BRD1 GPS Station RINEX Files 09-17-2015

CSV files with links to RINEX data for stations BRAD and BRDY for all days after those reported previous (i.e., since 21-JAN-2015) Links to websites that show the position time-series of both stations.
Kreemer, C. University of Wisconsin
Sep 17, 2015
7 Resources
0 Stars
Publicly accessible

PoroTomo Project: Brady's Geothermal Field, Subtask 3.5: GPS Data Analysis

Links to GPS RINEX data not previously reported, plus links to station web pages, which include most up-to-date time-series
Kreemer, C. University of Wisconsin
Jan 04, 2016
7 Resources
0 Stars
Publicly accessible

PoroTomo Project: Brady's Geothermal Field: GPS station deployment and data analysis

Brady's Field PoroTomo project. GPS station deployment and data analysis. Links to data files and website with station and time-series information
Kreemer, C. University of Nevada
Apr 26, 2016
8 Resources
0 Stars
Publicly accessible

BRAD BRDY and BRD1 GPS Station RINEX Files 01-19-2018

Links to URL's with latest time-series of GPS stations BRAD, BRDY, and BRD1. Files with links to FTP locations of GPS RINEX files archived since last report
Kreemer, C. University of Wisconsin
Jan 19, 2018
8 Resources
0 Stars
Publicly accessible

BRAD BRDY and BRD1 GPS Station RINEX Files 10-18-2016

Links to URL's with latest time-series of GPS stations BRAD, BRDY and BRD1. Files with links to the URL's (i.e. ftp location) of the GPS RINEX files archived since last report.
Kreemer, C. University of Wisconsin
Oct 11, 2016
9 Resources
0 Stars
Publicly accessible

BRAD BRDY and BRD1 GPS Station RINEX Files 01-18-2017

Links to URL's with latest time-series of GPS stations BRAD, BRDY and BRD1 Files with links to URL's (i.e., ftp location) of GPS RINEX files archived since last report.
Kreemer, C. University of Wisconsin
Jan 18, 2017
9 Resources
0 Stars
Publicly accessible

BRAD BRDY and BRD1 GPS Station RINEX Files 10-30-2017

Links to URL's with latest time-series of GPS stations BRAD, BRDY, and BRD1. Files with links to FTP locations of GPS RINEX files archived since last report
Kreemer, C. University of Wisconsin
Oct 30, 2017
9 Resources
0 Stars
Publicly accessible

BRAD BRDY and BRD1 GPS Station RINEX Files 04-14-2017

Links to URL's with latest time-series of GPS stations BRAD, BRDY, and BRD1. Text files containing links to URL's (i.e., ftp location) of GPS RINEX files archived since last report (1/18/2017).
Kreemer, C. University of Wisconsin
Apr 14, 2017
9 Resources
0 Stars
Publicly accessible

Graph Theory for Analyzing Pair-wise Data: Application to Interferometric Synthetic Aperture Radar Data

Graph theory is useful for estimating time-dependent model parameters via weighted least-squares using interferometric synthetic aperture radar (InSAR) data. Plotting acquisition dates (epochs) as vertices and pair-wise interferometric combinations as edges defines an incidence gr...
Reinisch, E. University of Wisconsin
Jul 28, 2016
1 Resources
0 Stars
Publicly accessible

Material Properties for Brady Hot Springs Nevada USA from PoroTomo Project

The PoroTomo team has completed inverse modeling of the three data sets (seismology, geodesy, and hydrology) individually, as described previously. The estimated values of the material properties are registered on a three-dimensional grid with a spacing of 25 meters between nodes....
Feigl, K. and PoroTomo Team, . University of Wisconsin
Mar 06, 2019
10 Resources
0 Stars
Publicly accessible