This dataset includes the results of Particle Image Velocimetry (PIV) of one experiment on subduction megathrust earthquakes (with interacting asperities) performed at the Laboratory of Experimental Tectonics (LET) Univ. Roma Tre in the framework of AspSync, the Marie Curie project (grant agreement 658034; https://aspsync.wordpress.com). Detailed descriptions of the experiments and monitoring techniques can be found in Corbi et al. (2017). This data set is from one experiment characterized by the presence of a 7 cm wide barrier separating two asperities with equal size, geometry and friction. Here we provide PIV data relative to a 16.3 min long interval during which the experiment produces 138 analog earthquakes with an average recurrence time of 7 s. The PIV analysis yields quantitative information about the velocity field characterizing two consecutive frames, measured in this case at the model surface. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Corbi et al. (2017) paragraph 2.
This data set has been used for: a) studying velocity variations (Fig. 2 in Corbi et al., 2021) and rupture patterns (Fig. 3a, b in Corbi et al., 2021) occurring during the velocity peak of one of the two asperities (aka trigger).
This dataset is supplementary material to the article by Xu et al. (2016) ‘Graben formation and dike arrest during the 2009 Harrat Lunayyir dike intrusion in Saudi Arabia: Insights from InSAR, stress calculations and analog experiments’. The Authors described the spatial and temporal effects of a propagating dike on crustal deformation, including the interaction with faulting, using a multidisciplinary approach. This supplementary material concerns the analog modelling part only. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Xu et al. (2016; paragraph 5).The data available in this supplementary publication are:- A folder (2019-003_Corbi-et-al_Fig6.zip) containing: 1. top-view pictures (e.g. ‘lunayyr1_0025.JPG’) and displacement data obtained with MatPiv (e.g. ‘uun25.mat’ and ‘uvn25.mat’; dike parallel and orthogonal components; respectively) shown in figure 6 of Xu et al 2016. 2. a Matlab script (‘fig6_a_h.m’) that allows reproducing the same figure setup as in figure 6 panels a-h of Xu et al 2016. The thick red line highlights dike position. The background shading refers to dike orthogonal displacement.- A folder (2019-003_Corbi-et-al_PIV_data.zip) containing: 1. surface deformation data obtained with MatPiv. Each file (‘vel_fine_piv#.mat’) contains 4 elements (x, y, u, v) representing the coordinates and horizontal and vertical component of incremental velocity field organized in a 143 x 215 matrix; 2. the run_movie.m Matlab script. Running it the user can visualize the space-time evolution of cumulative surface displacement. The background shading refers to dike orthogonal component of displacement. The thick red line highlights dike position.- A folder (2019-003_Corbi-et-al_pictures.zip) containing the whole set of pictures from the experiment shown in Xu et al., 2016.- A movie (2019-003_Corbi-et-al_graben formation.mp4) obtained using the whole set of pictures (96 photos). The thick red line highlights dike position. The amount of dike opening is reported as header.- A movie (2019-003_Corbi-et-al_cum_displacement.mp4) showing the space-time evolution of cumulative surface displacement, where the background shading refers to dike orthogonal component of displacement. The thick red line highlights dike position.
This data set includes the results of digital image correlation of one experiment on subduction megathrust earthquakes with interacting asperities performed at the Laboratory of Experimental Tectonics (LET) Univ. Roma Tre in the framework of AspSync, the Marie Curie project (grant agreement 658034) lead by F. Corbi in 2016-2017. Detailed descriptions of the experiments and monitoring techniques can be found in Corbi et al. (2017 and 2019) to which this data set is supplementary material.We here provide Digital Image Correlation (DIC) data relative to a 7 min long interval during which the experiment
produces 40 seismic cycles with average duration of about 10.5 s (see Figure S1 in Corbi et al., 2019). The DIC analysis yields quantitative about the velocity field characterizing two consecutive frames, measured in this case at the model surface. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Corbi et al. (2017) paragraph 2. This data set has been used for: a) studying the correlation between apparent slip-deficit maps and earthquake slip pattern (see Corbi et al., 2019; paragraph 4); and b) as input for the Machine Learning investigation (see Corbi et al., 2019; paragraph 5).Further technical information about the methods, data products and matlab scripts is proviced in the data description file. The list of files explains the file and folder structure of the data set.