bradys-geothermal-field-nodal-seismometer-data

The National Renewable Energy Laboratory in the US specializes in the research and development of renewable energy, energy efficiency, energy systems integration, and sustainable transportation.

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National Renewable Energy Laboratory (NREL)

Link to a separate GDR submission hosting the metadata associated with the nodal seismometer array.

Nodal Seismometer Array Metadata

P-wave travel times auto-picked from cross-correlation waveforms. See README.txt for details. 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.

P-Picks

PDF scans of field notes and metadata for nodal seismometers including instrument installation and recovery.  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.

Field Notes and Metadata

29.8 second long SAC files of the raw nodal seismometer data starting 3.9 seconds before the initiation of each vibroseis sweep. Data files sorted into folders by sweep number (see Submission 826).  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.

Sweep Data

SAC files of the continuous raw data from the nodal seismometers. Data files sorted into folders by seismometer station number.
Note: no data recovered from stations 73 and 82. 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.

Continuous 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 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 and Vertical Distributed Acoustic Sensing Data

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.

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