This dataset contains digital image correlation (DIC) data of eight seismotectonic analogue experiments that were performed at the Laboratory of Experimental Tectonics (LET), Univ. Rome Tre, to investigate the effect of subduction interface roughness on the seismogenic behaviour of the megathrust. The study has been done in the framework of the Marie Sklodowska-Curie grant agreement 642029 – ITN CREEP. Together with DIC data we also provide analogue earthquake characteristics and Matlab scripts for visualization.Here we provide Digital Image Correlation data for eight experiments that last about 20 minutes (i.e., including tens of seismic cycles), of which four experiments include a smooth subduction interface and four a rough subduction interface. The DIC analysis provides a velocity field between two consecutive frames, measured at the surface of the model. Details about the nature and geometry of this interface, as well as the experimental procedure, model set-up and materials can be found in van Rijsingen et al. (2019), paragraph 2 and supporting information.A more detailed description of the data that we provide, the methods and the matlab scripts used for visualisation can be found in the data description file. An overview of the dataset can be found in the list of files.
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.