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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-Stokes, and Temperature data .csv (level 1): Data that includes temperature PT100: Reference probe data
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Brady's Geothermal Field - DTS Raw Data
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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-Stokes, and Temperature data .csv (level 1): Data that includes temperature PT100: Reference probe data
Brady's Geothermal Field Distributed Temperature Sensing Data
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This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a double-loop set up. Data includes forward length and backward length temperature measurements.
Brady's Geothermal Field Distributed Temperature Sensing Data
공공데이터포털
This submission is an 8 day time history of vertical temperature measurements in Brady observation well 56-1 collected during the PoroTomo field experiment. The data was collected with a fiber-optic DTS system installed to a depth of 372 m below wellhead. DTS installation uses a double-loop set up. Data includes forward length and backward length temperature measurements.
PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
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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 period. The fiber-optic cable extends to the bottom of the well at 367 m below the wellhead. Measurements were made with a Silixa XT DTS interrogator configured to continuously record in each file a sixty-second average of stokes and anti-stokes readings on a single channel with a bottom hole U-bend. The 2016 data were collected using a Silixia Ultima with 12.5 cm spatial sampling, whereas the XT spatial sampling interval is 25 cm with a temperature resolution of 0.03 degrees C. Raw, uncalibrated data were converted to a single .MAT file using code provided by Oregon State University's CTEMPs https://ctemps.org/data-processing. The binary Matlab file containing processed Silixa XT data is read using the Matlab statement "load('Brady_25Aug2018_ch1.mat')", which contains the arrays below. Arrays with 2361 rows represent the channels and arrays with 1210 columns represent the one-minute samples.
PoroTomo - Distributed Temperature Sensing (DTS) Measurements made in Brady Observation Well 56-1
공공데이터포털
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 period. The fiber-optic cable extends to the bottom of the well at 367 m below the wellhead. Measurements were made with a Silixa XT DTS interrogator configured to continuously record in each file a sixty-second average of stokes and anti-stokes readings on a single channel with a bottom hole U-bend. The 2016 data were collected using a Silixia Ultima with 12.5 cm spatial sampling, whereas the XT spatial sampling interval is 25 cm with a temperature resolution of 0.03 degrees C. Raw, uncalibrated data were converted to a single .MAT file using code provided by Oregon State University's CTEMPs https://ctemps.org/data-processing. The binary Matlab file containing processed Silixa XT data is read using the Matlab statement "load('Brady_25Aug2018_ch1.mat')", which contains the arrays below. Arrays with 2361 rows represent the channels and arrays with 1210 columns represent the one-minute samples.
PoroTomo: Brady Geothermal Field InSAR Data
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Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for TerraSAR-X data. The digital elevation model used in the pair formations is included as well as text files containing unit vectors pointing from the ground to the satellite for each pair. The data is publicly accessible at the link "All InSAR Data" below.
PoroTomo: Brady Geothermal Field InSAR Data
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Included are links to compressed InSAR pairs covering Brady Geothermal Field for TerraSAR-X (tracks 53, 91, and 167) and Sentinel-1A data. Pairs from the PoroTomo deployment period and pairs forming a minimum spanning tree according to perpendicular baseline are included for TerraSAR-X data. The digital elevation model used in the pair formations is included as well as text files containing unit vectors pointing from the ground to the satellite for each pair. The data is publicly accessible at the link "All InSAR Data" below.
Brady's Geothermal Field - Metadata for DTS and DAS Surveys
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Metadata for DTS and DAS datasets for both borehole 56-1 and trenched cables.
Brady's Geothermal Field - Metadata for DTS and DAS Surveys
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Metadata for DTS and DAS datasets for both borehole 56-1 and trenched cables.
PoroTomo Project: Brady's Geothermal Field, Subtask 3.5: GPS Data Analysis
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Links to GPS RINEX data not previously reported, plus links to station web pages, which include most up-to-date time-series