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PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

Published by University of Wisconsin | Department of Energy | Metadata Last Checked: January 27, 2026 | Last Modified: 2024-10-24T15:17:17Z
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 included are links to the documentation for the dataset, Jupyter Notebook tutorials for working with the data as it is stored in AWS S3, and links to data viewers in OEDI for the horizontal (DASH) and vertical (DASV) DAS datasets. Horizontal DAS (DASH) data collection began 3/8/16, paused, and then started again on 3/11/2016 and ended 3/26/2016 using zigzag trenched fiber optic cabels. Vertical DAS (DASV) data collection began 3/17/2016 and ended 3/28/16 using a fiber optic cable through the first 363 m of a vertical well. These are raw data files from the DAS deployment at (DASH) and below (DASV) the surface during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. SEG-Y and hdf5 files are stored in 30 second files organized into directories by day. The hdf5 files available via HSDS are stored in daily files. Metadata includes information on the timing of recording gaps and a file count is included that lists the number of files from each day of recording. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.

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Complete Metadata
@type dcat:Dataset
accessLevel public
bureauCode 
                                            [
  "019:20"
]
contactPoint 
                                            {
  "fn": "Kurt Feigl",
  "@type": "vcard:Contact",
  "hasEmail": "mailto:feigl@wisc.edu"
}
dataQuality 
                                            true
description 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 included are links to the documentation for the dataset, Jupyter Notebook tutorials for working with the data as it is stored in AWS S3, and links to data viewers in OEDI for the horizontal (DASH) and vertical (DASV) DAS datasets. Horizontal DAS (DASH) data collection began 3/8/16, paused, and then started again on 3/11/2016 and ended 3/26/2016 using zigzag trenched fiber optic cabels. Vertical DAS (DASV) data collection began 3/17/2016 and ended 3/28/16 using a fiber optic cable through the first 363 m of a vertical well. These are raw data files from the DAS deployment at (DASH) and below (DASV) the surface during testing at the PoroTomo Natural Laboratory at Brady Hot Spring in Nevada. SEG-Y and hdf5 files are stored in 30 second files organized into directories by day. The hdf5 files available via HSDS are stored in daily files. Metadata includes information on the timing of recording gaps and a file count is included that lists the number of files from each day of recording. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files.
distribution 
                                            [
  {
    "@type": "dcat:Distribution",
    "title": "Data in OEDI S3 Viewer",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo",
    "mediaType": "text/html",
    "description": "Link to PoroTomo DASH and DASV data in both SEG-Y and hdf5 formats in Open Energy Data Initiative (OEDI) data viewer. Allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo DASH Data in hdf5 Format",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FH5%2FDASH%2F",
    "mediaType": "text/html",
    "description": "Location of PoroTomo DASH 30 second data files in hdf5 format. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo DASV Data in hdf5 Format",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FH5%2FDASV%2F",
    "mediaType": "text/html",
    "description": "Location of PoroTomo DASV 30 second data files in hdf5 format. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo DASH Data in Standardized H5 Format",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FH5-standardized%2FDASH%2F",
    "mediaType": "text/html",
    "description": "Location of PoroTomo DASH 30 second data files in standardized HDF5 format. This data was converted and standardized from the original SEG-Y format via the GDR's DAS data pipeline.  More information on the pipeline can be found the GDR's Data Standards page. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo DASV Data in Standardized H5 Format",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FH5-standardized%2FDASV%2F",
    "mediaType": "text/html",
    "description": "Location of PoroTomo DASV 30 second data files in standardized HDF5 format. This data was converted and standardized from the original SEG-Y format via the GDR's DAS data pipeline.  More information on the pipeline can be found the GDR's Data Standards page. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo DASH Data in SEG-Y Format",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FSEG-Y%2FDASH%2F",
    "mediaType": "text/html",
    "description": " Location of PoroTomo DASH 30 second data files in SEG-Y format. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "Tap Test Data",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FSEG-Y%2FDASH%2F20160308%2F",
    "mediaType": "text/html",
    "description": "Direct link to the DASH data files from tap tests that occurred March 8th and 9th 2016."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo DASV Data in SEG-Y Format",
    "format": "HTML",
    "accessURL": "https://data.openei.org/s3_viewer?bucket=nrel-pds-porotomo&prefix=DAS%2FSEG-Y%2FDASV%2F",
    "mediaType": "text/html",
    "description": " Location of PoroTomo DASV 30 second data files in SEG-Y format. These data are available for download without login credentials through the free and publicly accessible Open Energy Data Initiative (OEDI) data viewer which allows users to browse and download individual or groups of files."
  },
  {
    "@type": "dcat:Distribution",
    "title": "DASH File Count.txt",
    "format": "txt",
    "accessURL": "https://gdr.openei.org/files/980/DASH_file_count.txt",
    "mediaType": "text/plain",
    "description": "A list of the number of data files recorded each day and other metadata."
  },
  {
    "@type": "dcat:Distribution",
    "title": "DAS Metadata",
    "format": "HTML",
    "accessURL": "https://gdr.openei.org/submissions/825",
    "mediaType": "text/html",
    "description": "Metadata from horizontal and vertical DAS."
  },
  {
    "@type": "dcat:Distribution",
    "title": "DASH Deployment Metadata",
    "format": "HTML",
    "accessURL": "https://gdr.openei.org/submissions/829",
    "mediaType": "text/html",
    "description": "Previous GDR submission with metadata on DASH location and recording history."
  },
  {
    "@type": "dcat:Distribution",
    "title": "HSDS Examples",
    "format": "HTML",
    "accessURL": "https://github.com/NREL/hsds-examples",
    "mediaType": "text/html",
    "description": "NREL's HSDS service provides public access to several of DOEs high-value datasets available internally on the Eagle HCP System. Due to the high demand for the HSDS service, users with access to NREL’s HPC should pursue direct access through that system.

This repository provides examples and convenience functions for accessing the below datasets using HSDS: Wind Integration National Dataset (WIND) Toolkit and National Solar Radiation Database (NSRDB).

This service operates with the HSDS software developed by the HDF Group and is hosted on Amazon Web Services (AWS) using a combination of EC2 (Elastic Compute) and S3 (Scalable Storage Service). The same approach may be applied when accessing the PoroTomo dataset."
  },
  {
    "@type": "dcat:Distribution",
    "title": "Updated DASH Location Metadata",
    "format": "xlsx",
    "accessURL": "https://github.com/feigl/PoroTomo/blob/master/metadata_txt_files/Horizontal_DAS_DTS_UTM_LatLon_Coordinates.xlsx",
    "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
    "description": "Link to the metadata for the UTM and LatLon coordinates of the DASH cable"
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo SEG-Y Interactive Jupyter Notebook Tutorial",
    "format": "ipynb",
    "accessURL": "https://github.com/openEDI/documentation/blob/main/PoroTomo/PoroTomo_Distributed_Acoustic_Sensing_(DAS)_Data_SEGY.ipynb",
    "mediaType": "application/octet-stream",
    "description": "Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in SEGY format, using the PoroTomo dataset"
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo hdf5 Interactive Jupyter Notebook Tutorial",
    "format": "ipynb",
    "accessURL": "https://github.com/openEDI/documentation/blob/main/PoroTomo/PoroTomo_Distributed_Acoustic_Sensing_(DAS)_Data_hdf5.ipynb",
    "mediaType": "application/octet-stream",
    "description": "Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in hdf5 format, using the PoroTomo dataset."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo HSDS Interactive Jupyter Notebook Tutorial",
    "format": "ipynb",
    "accessURL": "https://github.com/openEDI/documentation/blob/main/PoroTomo/PoroTomo_Distributed_Acoustic_Sensing_(DAS)_Data_hsds.ipynb",
    "mediaType": "application/octet-stream",
    "description": "Interactive Jupyter Notebook that provides a tutorial for working with DAS data, in hdf5 format, using the PoroTomo dataset available via HSDS using h5pyd."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo Dataset Documentation",
    "format": "md",
    "accessURL": "https://github.com/openEDI/documentation/blob/main/PoroTomo/README.md",
    "mediaType": "application/octet-stream",
    "description": "  Documentation for the PoroTomo dataset"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Feigl et al. 2018 Stanford Paper",
    "format": "pdf",
    "accessURL": "https://pangea.stanford.edu/ERE/pdf/IGAstandard/SGW/2018/Feigl.pdf",
    "mediaType": "application/pdf",
    "description": "Feigl et al., 2018 paper published on the PoroTomo data, titled "Overview and Preliminary Results from the PoroTomo project at Brady Hot Springs, Nevada: Poroelastic Tomography by Adjoint Inverse Modeling of Data from Seismology, Geodesy, and Hydrology," and presented at the Stanford Geothermal Worshop.
"
  },
  {
    "@type": "dcat:Distribution",
    "title": "Miller et al. 2018 Stanford Paper",
    "format": "pdf",
    "accessURL": "https://pangea.stanford.edu/ERE/pdf/IGAstandard/SGW/2018/Miller.pdf",
    "mediaType": "application/pdf",
    "description": "Miller et al., 2018 paper published on the PoroTomo data, titled "DAS and DTS at Brady Hot Springs: Observations about Coupling and Coupled
Interpretations," and presented at the Stanford Geothermal Worshop."
  },
  {
    "@type": "dcat:Distribution",
    "title": "PoroTomo Registry of Open Data on AWS",
    "format": "HTML",
    "accessURL": "https://registry.opendata.aws/nrel-pds-porotomo/",
    "mediaType": "text/html",
    "description": "Released to the public as part of the Department of Energy's Open Energy Data Initiative, these data represent vertical and horizontal distributed acoustic sensing (DAS) data collected as part of the Poroelastic Tomography (PoroTomo) project funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy. Link to the AWS Open Data Registry for the PoroTomo dataset. Released to the public as part of the Department of Energy's Open Energy Data Initiative, these data represent vertical and horizontal distributed acoustic sensing (DAS) data collected as part of the Poroelastic Tomography (PoroTomo) project funded in part by the Office of Energy Efficiency and Renewable Energy (EERE), U.S. Department of Energy. This page includes information about access to the data via AWS CLI which does not require an AWS account."
  }
]
DOI 10.15121/1778858
identifier https://data.openei.org/submissions/7145
issued 2016-03-29T06:00:00Z
keyword 
                                            [
  "DAS",
  "Jupyter Notebook",
  "OEDI",
  "PoroTomo",
  "bradys geothermal field",
  "distributed acoustic sensing",
  "distributed sensing",
  "downhole",
  "fiber optic",
  "geophysics",
  "geoscience",
  "geothermal",
  "h5py",
  "h5pyd",
  "hdf5",
  "hsds",
  "hydrothermal",
  "poroeleastic tomography",
  "python",
  "raw data",
  "seismic array",
  "seismicity",
  "surface sensors",
  "trenched"
]
landingPage https://gdr.openei.org/submissions/980
license https://creativecommons.org/licenses/by/4.0/
modified 2024-10-24T15:17:17Z
programCode 
                                            [
  "019:006"
]
projectLead Elisabet Metcalfe
projectNumber EE0006760
projectTitle PoroTomo Project
publisher 
                                            {
  "name": "University of Wisconsin",
  "@type": "org:Organization"
}
spatial 
                                            "{"type":"Polygon","coordinates":[[[-119.2167,39.5883],[-118.8167,39.5883],[-118.8167,39.9883],[-119.2167,39.9883],[-119.2167,39.5883]]]}"
title PoroTomo Natural Laboratory Horizontal and Vertical Distributed Acoustic Sensing Data

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