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Data and scripts from Neighbouring segments control on earthquake recurrence patterns: Insights from scaled seismotectonic models

We provide particle image correlation data from the 16 laboratory experiments with Foamquake seismotectonic model simulating analog megathrust seismic cycles and supporting scripts. To monitor analog seismic cycles, we use a high-resolution camera taking images at 50 frames per second as an analog of a geodetic satellite. We are using a trench orthogonal surface velocity time series extracted from the central points located above the seismic asperities using Particle Image Velocimetry (PIV) method. The scripts and datasets are provided as supplementary materials to the article "Neighbouring segments control on earthquake recurrence patterns: Insights from scaled seismotectonic models" by Latypova et al., 2025. The data originate from analog experiments using the Foamquake seismotectonic model, designed at the Laboratory of Experimental Tectonics (LET) at Roma Tre University to replicate megathrust seismic cycles. Observations were recorded with a high-resolution camera, and surface velocity fields were extracted using the Particle Image Velocimetry (PIV) technique, which applies cross-correlation between consecutive frames.

Particle image correlation data from Foamquake: a novel seismotectonic analog model mimicking the megathrust seismic cycle

This dataset includes particle image correlation data from 26 experiments performed with Foamquake, a novel analog seismotectonic model reproducing the megathrust seismic cycle. The seismotectonic model has been monitored by the means of a high-resolution top-view monitoring camera. The dataset presented here represents the particle image velocimetry surface velocity field extracted during the experimental model through the cross-correlation between consecutive images. This dataset is supplementary to Mastella et al. (2021) where detailed descriptions of models and experimental results can be found.

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