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.

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.