DOI: 10.5281/zenodo.18686073
title: Data and code for: "Seasonal preconditioning and triggering of alpine mass movements at an active rock slope from machine-learning seismic monitoring" by Chmiel et al.

description: This repository contains data and code supporting the manuscript:

“Seasonal thermal and hydrological controls on mass-movement activity at an active alpine rock slope from multi-year machine-learning seismic monitoring" by Małgorzata Chmiel (1,2) Fabian Walter (2), Lena Husmann (2), Giacomo Belli (3), Emanuele Marchetti (3), Clement Hibert (4), Nils Hählen (5), Christian Kienholz (6)(1) Observatoire de la Côte d'Azur, Université Côte d'Azur, CNRS, IRD, Géoazur, 250 rue Albert Einstein, Sophia Antipolis 06560 Valbonne, France(2) Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland(3) Department of Earth Sciences, University of Firenze, Firenze, Italy(4) Institut de Physique du Globe de Strasbourg, University of Strasbourg/EOST, Strasbourg, France(5) Natural Hazard Division of Canton Bern, Interlaken, Switzerland}(6) GEOTEST AG, Zollikofen, Switzerland

The repository includes seismic-derived event catalogs, infrasound training data, auxiliary environmental monitoring datasets, the trained Random Forest model, and the analysis notebooks used to reproduce the results and figures presented in the manuscript.

Repository Structure

1. Ancillary_data/

Auxiliary monitoring datasets used for event validation and environmental interpretation (01 October 2021 – 31 December 2024).

Includes:





Borehole dataGround temperature time series from thermistor strings.




GPS dataGNSS displacement time series (1-hour sampling).




Precipitation dataMeteorological station measurements (10-minute sampling).




Air temperature dataMeteorological station measurements (10-minute sampling).



2. Infrasound_data_2021/

Minified infrasound dataset used to construct the labeled training catalog (October–December 2021).

Includes:





Air-pressure time series




State-of-health (SOH) data



Infrasound sensor coordinates








Name
Easting
Northing




CH00
620714
149949


CH01
620703
149869


CH02
620674
150011


CH03
620785
149961






Coordinates are provided in the projected coordinate system used in the study.

3. Model_original/

Machine-learning outputs and seismic event catalogs.

catalog_complete/

Final processed seismic catalog after seismic signal energy thresholding and post-processing.

Columns:





start_time




end_time




duration




total_rms




total_probs



detected_events_2022/

detected_events_2023/

detected_events_2024/

Raw detection outputs prior to final seismic signal energy thresholding.

Columns:





start_time




end_time




duration




total_rms




total_probs



RF_model.pkl

Trained Random Forest classifier used for mass-movement detection.

4. Jupyter_notebook/

Notebooks used to train the model and reproduce manuscript figures.

Includes:





Figure 4 – Catalog processing workflow (raw detections to final catalog)




Figures 5-7 – Statistical analysis of seasonal triggers




Figure 8 – Deep–shallow coupling analysis with GPS data



5. package_list.txt

List of Python packages and versions used in the analysis environment.

Time Coverage

01 October 2021 – 31 December 2024All timestamps are provided in UTC.

Additional Notes

Continuous seismic waveform data are archived at the Swiss Seismological Service and are subject to a five-year embargo period, after which they become publicly available. Infrasound data used for training (October–December 2021) are included in this repository.