Data for "Distribution of Time Scales Induces Slow Dynamics and Elastic Hysteresis in Sandstones: A Model of Non-equilibrium Strain"

The experimental data are obtained using Dynamic acoustoelastic testing on a sandstone sample. The experimental setup and signal processing are described in "Distribution of Time Scales Induces Slow Dynamics and Elastic Hysteresis in Sandstones: A Model of Non-equilibrium Strain" by Zeman, Kober and Scalerandi (2025). DAET 2024-03-13 Use numpy (python) to open npz files. param.npz: measurement parameters scp_channels: oscilloscope chanels measured pulse_s_tx: shear pulse generator pulse_s_rx: shear pulse receiver cnd_tx: conditioning channel generator cnd_rxv: endpoint velocity (vibrometer signal) cnd_sa: surface velocity on side (vibrometer signal), see msV to convert volts to m/s pls_indexes.npz: time data, basic signal processing index: number of signal time_ns: measruement time in ns (signal)_pp: peak-to-peak amplitude (signal)_rms: signal rms (signal)_maxabs: signal maximum process: current process, preconditioning / conditioning / relaxation / chirp (resonance frequency estimation) cnd_pid: conditioning index pls_velocity.npz: velocity variations dt_s_rx/tx: delay on receiver / generator in samples dvv_s: relative velocity variation s_rx/tx_pp/rms: peak-to-peak amplitude of pulse obtained using polynomial fit of extrema cnd_indexes.npz: conditioning parameters index: conditioning index, see cnd_pid in pls amplitude: amplitude in volts f: frequency in Hz process: conditioning / chirp time_ns: time in ns duration: duration in seconds (signal)_pp/rms/maxabs: signal peak-to-peak amplitude / rms / maximum pls_pulses.npz: settings for velocity estimation from pulses s_rx/tx_ref: reference signal (averaged first signals) s_rx/tx_start/end: pulse windowsignal processing: 1) detrend and high pass filter (filt_s_sos) 2) raw correlation + window adjustement 3) correlation with subsample precision (quadratic fit of maximum)