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TEXT
config.json (4.19 kB)
.NPY
scan_data_1MPa.npy (2.75 MB)
.NPY
scan_data_2MPa.npy (2.75 MB)
.NPY
scan_data_4MPa.npy (2.75 MB)
.NPY
scan_data_6MPa.npy (2.75 MB)
.NPY
scan_data_8MPa.npy (2.75 MB)
.NPY
scan_data_10MPa.npy (2.75 MB)
.NPY
scan_data_12MPa.npy (2.75 MB)
.NPY
scan_data_14MPa.npy (2.75 MB)
.NPY
scan_data_16MPa.npy (2.75 MB)
DATASET
schist_2_1MPa_p_aic-picks.csv (4.2 kB)
DATASET
schist_2_2MPa_p_aic-picks.csv (3.84 kB)
DATASET
schist_2_4MPa_p_aic-picks.csv (4.21 kB)
DATASET
schist_2_6MPa_p_aic-picks.csv (4.06 kB)
DATASET
schist_2_8MPa_p_aic-picks.csv (4.25 kB)
DATASET
schist_2_10MPa_p_aic-picks.csv (2.62 kB)
DATASET
schist_2_12MPa_p_aic-picks.csv (2.54 kB)
DATASET
schist_2_14MPa_p_aic-picks.csv (2.53 kB)
DATASET
schist_2_16MPa_p_aic-picks.csv (2.55 kB)
TEXT
schist_2_rp_data.p (19.09 kB)
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20 files

Laser ultrasonics data for Alpine Fault schist

dataset
posted on 2020-02-04, 04:39 authored by Jonathan SimpsonJonathan Simpson
This item contains the raw waveform data for a schist sample, schist_2. Each .npy file contains all the experimental data, including the waveforms (of the trigger channel and data channel) and the angular positions of the rotation stage. Confining pressures for these experiments ranged from 1MPa to 16MPa, as stated in the filename. The data can be opened using the Python NumPy library.

Also included are csv files which contain the arrival time picks of the P-wave in each waveform for each pressure.

One example experimental configuration file is included as config.json. This describes the experimental setup at 1MPa, and is identical to the config files at other pressures.

Finally, the schist_2_rp_data.p is a Python pickle dictionary which contains values of important variables for this sample, calculated from the experimental data. These include fast and slow velocities, density, diameter, anisotropy at all pressures, etc.

All data viewing of data, plotting, and analysis was performed with the Python PlaceScan package, available at https://github.com/jsimpsonUoA/PlaceScan. All experimental data was acquired with PLACE, the lab automation software (see https://github.com/PALab/place).

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