Acoustic, Meteorological, Extensometer and Resonance Frequency Data Acquired at the Chauvet Pillar, Ardèche, France, between 07/2024 and 09/2025.

This dataset comprises meteorological, extensometer, resonance-frequency, and acoustic data acquired at the Chauvet rock pillar between July 2024 and September 2025. Meteorological and Resonance Frequency Data Data are provided in hourly_meteo_fres.csv and include: f_res [Hz]: resonance frequency t_air [°C]: air temperature precip [mm]: precipitation sol_rad [W/m²]: solar radiation ext [mm]: extensometer (opening of rear fracture) import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv( "hourly_meteo_fres.csv", parse_dates=["time"], index_col="time" ) plt.figure(figsize=(10, 4)) plt.plot(df.index, df["f_res"]) plt.ylabel("f_res [Hz]") plt.xlabel("Time") Acoustic Waveforms The acoustic data consist of reconstructed impulse responses in the 10-20 kHz band derived from active-source acoustic cross-correlations. They are provided as NetCDF (.nc) files for 8 emitter–receiver pairs. Acoustic data is stored in 2 ways: hourly sampled (3 weeks time series during rain): waves_hourly_280824_170924_E?-R?.nc daily sampled (1 year time series): waves_daily_040724_030925_E?-R?.nc Each NetCDF file contains: corr: reconstructed impulse responses, stored as a date × time_ms array date: acquisition timestamps time_ms: lag-time vector in milliseconds metadata attributes: emitter, receiver import xarray as xr import matplotlib.pyplot as plt er = "E1-R3" dsl = xr.open_dataset( f"waves_hourly_280824_170924_{er}.nc" ) corr = dsl.corr.values date = dsl.date.values time = dsl.time_ms.values emitter = dsl.attrs["emitter"] receiver = dsl.attrs["receiver"] plt.figure(figsize=(10, 6)) plt.imshow( corr, aspect="auto", extent=[time[0], time[-1], date[-1], date[0]], origin="upper", cmap="seismic", vmin=-0.01, vmax=0.01 ) plt.title(f"{emitter} → {receiver}") plt.xlabel("Time (ms)") plt.ylabel("Date") Schematic view of sensor locations: R1 ------------ R2 │ │ E1 ------------ E2 │ │ R3 ------------- R4