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This dataset provides friction data from ring-shear tests (RST) on glass beads used in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam as an analogue for “weak” brittle layers in the crust or lithosphere (Ritter et al., 2016; Santimano et al., 2015; Contardo et al., 2011; Reiter et al., 2011; Hoth et al., 2007, 2006; Kenkmann et al., 2007; Deng et al., 2018) or in stick-slip experiments (Rudolf et al., 2019). The glass beads with a diameter of 40-70 µm have been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the glass beads are µP = 0.46, µD = 0.40 and µR = 0.44, respectively. Cohesion ranges between 33 and 42 Pa. A rate-weakening of ~3 % per ten-fold change in shear velocity v is evident.
This dataset provides friction data from ring-shear tests (RST) on glass beads used in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam as an analogue for “weak” brittle layers in the crust or lithosphere (Ritter et al., 2016; Santimano et al., 2015; Contardo et al., 2011; Reiter et al., 2011; Hoth et al., 2007, 2006; Kenkmann et al., 2007; Deng et al., 2018) or in stick-slip experiments (Rudolf et al., 2019). The glass beads with a diameter of 300-400 µm have been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the glass beads are µP = 0.58, µD = 0.43 and µR = 0.49, respectively. Cohesion ranges between 8 and 81 Pa. A rate-weakening of ~7 % per ten-fold change in shear velocity v is evident.
This dataset provides friction data from ring-shear tests (RST) on glass beads used in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam as an analogue for “weak” brittle layers in the crust or lithosphere (Ritter et al., 2016; Santimano et al., 2015; Contardo et al., 2011; Reiter et al., 2011; Hoth et al., 2007, 2006; Kenkmann et al., 2007; Deng et al., 2018) or in stick-slip experiments (Rudolf et al., 2019). The glass beads with a diameter of 70-110 µm have been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the glass beads are µP = 0.48, µD = 0.39 and µR = 0.44, respectively. Cohesion ranges between 3 and 28 Pa. A rate-weakening of ~4 % per ten-fold change in shear velocity v is evident.
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.
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 data set includes the results of digital image correlation (DIC) of two experiments on gravitational tectonics at passive margins performed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam in the framework of EPOS transnational access activities in 2018. The experiments aim at documenting the difference in structural evolution between two tilting scenarios: Instant versus progressive, or fast versus slow. Detailed descriptions of the experiments and results can be found in Ge et al. (2019, Geology) to which this data set is supplement. The DIC analysis yields quantitative deformation information of the experiment surfaces by means of 3D surface displacements from which strain has been calculated. The data presented here are visualized as surface uplift and strain maps, strain evolution maps and surface velocity time-series. Python scripts for visualization of data are appended. Parts of this data (see list of files) are derived from Ge et al. (2019, http://doi.org/10.5880/GFZ.4.1.2019.001).
Experiments of oblique convergence at angles of 5, 10, 15, 20, 25 and 30 degrees from the margin within wet kaolin. One suite of experiments, denoted as ‘precut’, has a vertical surface precut within the clay with an electrified wire. The precut surface lies directly above the basal oblique dislocation. The other suite of experiments is ‘uncut’. Regardless of whether the experiments have a precut surface, slip partitioned fault systems, develop and persist in the experiments. Such systems have two simultaneously active faults with similar strike but different slip sense. Slip partitioning also develops regardless of whether the system first grows a reverse fault or strike slip fault in the experiment. The sequence and nature of strike-slip and reverse fault development depends on present of existing cut and convergence angle.This data set includes time series of incremental displacement maps for eleven experiments performed at the University of Massachusetts Amherst in January 2017 and March 2018 as well as animations of strain and uplift. The dataset includes the 30˚ convergence experiment with precut vertical surface but the 30˚ uncut experiment has not yet been performed. The time series data are organized into 11 netCDF files. The name of each file states the obliquity of convergence and whether the vertical surface was precut or not.Each netCDF file contains the following• ux = the incremental displacement field within the ROI (Region Of Interest) parallel to the margin (x-direction). The third dimension in the array corresponds to increment of deformation through the experiment. Units are mm.• uy = the incremental displacement field within the ROI perpendicular to the margin (y-direction). The third dimension in the array corresponds to increment of deformation through the experiment. Units are mm.• x = position parallel to the margin. Units are mm.• y = position perpendicular to the margin. Units are mm.The incremental displacements are calculated from DIC of photographs taken every 30 seconds using PIVlab (Thielicke, 2019). The net stepper motor speed is ~0.5 mm/min.The animations show strain evolution of all eleven experiments and uplift evolution of the 10 degree precut experiment. The strain evolution experiments overlay colormaps of incremental strain between successive photos on photographs of the experiment. Color saturation indicates the strain rate and hue indicates the slip vector. The uplift maps were made from stereovision analysis from pairs of photos. In most experiments, decorrelation of portions of the map prevented us from producing high quality uplift evolution animations from the start to the end of the experiment. Only the 10 degree convergence with precut vertical surface experiment had full coherence of uplift signal throughout the experiment and that animation.
This data set includes videos depicting the surface evolution (time-lapse photography, topography data and Digital Image Correlation [DIC] analysis) of 11 analogue models, divided in three model series (A, B and C), simulating rifting and subsequent inversion tectonics. In these models we test how orthogonal or oblique extension, followed by either orthogonal or oblique compression, as well as syn-rift sedimentation, influenced the reactivation of rift structures and the development of new inversion structures. We compare these models with an intracontinental inverted basin in NE Brazil (Araripe Basin). All experiments were performed at the Tectonic Modelling Laboratory of the University of Bern (UB). We used an experimental set-up involving two long mobile sidewalls, two rubber sidewalls (fixed between the mobile walls, closing the short model ends), and a mobile and a fixed base plate. We positioned a 5 cm high block consisting of an intercalation of foam (1 cm thick) and Plexiglas (0.5 cm thick) bars on the top of the base plates. Then we added layers of viscous and brittle analogue materials representing the ductile and brittle lower and upper crust in our experiments, which were 3 cm and 6 cm thick, respectively. A seed made of the same viscous material was positioned at the base of the brittle layer, in order to localize the formation of an initial graben in our models. The standard model deformation rate was 20 mm/h, over a duration of 2 hours for a total of 40 mm of divergence, followed by 2 hours of convergence at the same rate (except for Models B3 and C3, since the oblique rifting did not create space for 40 mm of orthogonal inversion). For syn-rift sedimentation, we applied an intercalation of feldspar and quartz sand in the graben. Model parameters and detailed description of model set-up are summarized in Table 1, and results and their interpretation can be found in Richetti et al. (2023).
The dataset contains waveform data of shallow seismic profiles at two locations in the western part of the Alai valley, Kyrgyzstan. At each location a “long” profile (~5 km and ~2.5 km length, respectively) and one or two short profiles (~120 m and ~250 m) were acquired, centered on known or presumed tectonic faults. As sources, a trailer-mounted weight drop and a hammer were used. The measurements were part of the CaTeNA project. Within the sub-project "The recent deformation in the Pamir based on seismic and geodetic data, dynamic landslide-susceptibility and risk analysis, and seismic imaging of the North Pamir Thrust", which forms part of the international and interdisciplinary CaTeNA project (Climatic and Tectonic Natural Hazards in Central Asia), shallow seismic profiling at two locations has been carried out in the Alai Valley, southern Kyrgyzstan, to investigate the spatio-temporal evolution of the Pamir Frontal Thrust (PFT). Eight seismic profiles were acquired in September 2019 at two locations in the western part of the Alai valley, (1) in the village of Achyk Suu and b) at the Koman fault (SSW of the village of Kashka Suu). At each location a long profile (5 and 2.5km, respectively) and one or two short profiles (~250m) across interesting (presumed) fault structures were acquired.
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.
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