Experiment p5198
This is a run w/ min-u-sil40 qtz powder sheared in the grooved steel forcing blocks. There are two channels of passive acoustic data. See runsheet for details.

Mechanical Data

See links below for mechanical data, Acoustic data and instructions for using them.

The .txt file contains the acquisition parameters and data such as: shear stress, normal stress, shear displacement, normal load displacement, etc.

p5198_data.txt (695 Mb) Mechanical Data in ASCII format after applying calibrations and removing offset. Cols are labeled

p5198_RunSheet.pdf Run Sheet for this experiment

Acoustic Data

plotacousticdata.m MATLAB script to plot the acoustic data:

You will need the following items in order to load and plot the data: Continuous acoustic data (below as a tar file), .mat files, acoustic time vector, ts_adjusted, and MATLAB scripts.

Download the .ac files,mat file, acoustic time vector and MATLAB scripts from the links here

Make sure to add the .ac and .mat files to your PATH in MATLAB.

Run plotacousticdata.m to plot the acoustic data (Amplitude vs. Time) for a single channel.

The .ac files contain the raw continuous time series data. Acoustic data are recorded continuously at 4 MHz throughout the experiment from a 15-bit data acquisition system.

The raw amplitudes inside the .ac files are in units of bits.

Each .ac file is ~ 20 MB. They are all in a tar file. You will need many gigabytes of disc space.

The p****.mat file contains the data acquisition parameters, such as sampling rate, number of channels, ..etc.

Matlab scripts and sync


Acoustics files
p5198acfiles.tar (55 GB) 1324 files

p5198_AE_run1.mat Acoustic data info.
AcTimeVector_p5198.mat for sync

These .tdms files contain the raw continuous time series data. Acoustic data are recorded continuously at 40 kHz from an Accelerometer.
The ReadTDMS.txt file contains a few lines of code that will enable you to load/plot the acoustic data in Python.

ReadTDMS.txt MATLAB script to read acoustic files

Data from this experiment are report in this papers: Bolton, D. C., Shreedharan, S., RivieĢ€re, J., & Marone, C. (2020). Acoustic energy release during the laboratory seismic cycle: Insights on laboratory earthquake precursors and prediction. Journal of Geophysical Research: Solid Earth, 125, e2019JB018975. https://doi. org/10.1029/2019JB018975