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The model contains the 3D structure of Vp and Vs in the crust and the mantle under the European Alps, as published in Kästle et al. (2025). It is the result of a direct inversion of surface-wave data, from ambient noise and earthquake records, and of teleseismic P and S wave data. A Bayesian tomography approach is used where we implement a reversible jump Markov chain Monte Carlo method to constrain the free parameters. This gives not only the mean Vp and Vs values, but also their uncertainties, as well as a distribution (histograms) of the sampled velocity parameters at each point of the model.
This dataset presents the raw data of an experimental series of centrifuge models performed to test the influence of pre-existing weak zones in the lower crust (herein after referred to as Weak Lower Crust –WLC) during continental compression. We varied the width of the WLC, the dip of the interfaces bounding the WLC and the frictional properties at the WLC-LC interface by using lubricant (vaseline). In this dataset, we provide four different types of data, that can serve as supporting material and can be used for further analysis: 1) The top-view photos, taken at different stages and showing the deformation process of each model; 2) Digital Elevation Models (DEMs) used to reconstruct the 3D deformation of the performed analogue models; 3) Line-drawing of fault and fracture patterns to be used for fault statistical quantification; 4) A Python script to draw swath profiles (outputs) of the analogue models. Further details on the modelling strategy can be found in the publication associated with this dataset and in Milazzo et al. (2021), using a similar setup for achieving compression in the centrifuge. Materials used for these analogue models were described in Corti (2012), Montanari et al. (2017), Del Ventisette et al. (2019), Zou et al. (2024) and Wan et al. (2025).
This data set provides data from subduction zone earthquake experiments and analysis described in Rosenau et al. (2019). In the experiments analogue seismotectonic scale models of subduction zones characterized by two seismogenic asperities are used to study the interaction of asperities over multiple seismic cycles by means of static (Coulomb failure) stress transfer. Various asperity geometries (lateral/along-strike of the subduction zone distance and vertical/across-strike of the subduction zone offset) are tested on their effect on recurrence pattern of simulated great (M8+) earthquakes. The results demonstrate the role of stress coupling in the synchronization of asperities leading to multi-asperity M9+ events in nature. The data set contains time series of experimental surface velocities from which analogue earthquakes are detected and classified into synchronized events and solo events. The latter are subcategorized into main events and aftershocks and into normal and thrust events. An analogue earthquake catalogue lists all categorized events of the 12 experiments used for statistical analysis. Moreover, results from elastic dislocation modelling aimed ate quantifying the stress coupling between the asperities for the various geometries are summarized. Basic statistics of classified events (e.g. percentage of categorized events, coefficient of variation in size and recurrence time etc.) are documented. Matlab scripts are provided to visualize the data as in the paper.
We present a comprehensive 3D lithospheric-scale model of the South China Sea region (SCS), which reveals the structural configuration of the area. This model delineates seven distinct geological units: (1) seawater, (2) sedimentary cover, (3) continental crystalline crust, (4) oceanic crust, (5) upper lithospheric mantle, (6) lower lithospheric mantle, and (7) sub-lithospheric mantle. The model covers an area of 960 km × 1260 km and reach down to a depth of 250 km. It is provided as uniformly spaced grids with 10 km intervals for each unit. The geometries and density distributions within the crust have been compiled and interpolated from a variety of datasets, predominantly seismic data (see section 6). To eliminate boundary effects, the model boundaries have been extended by more than 500 km in all horizontal directions, incorporating additional constraining data from the extended region. Additionally, we provide gridded gravity field data, a density voxel cube for the sub-lithospheric mantle, and relevant tomography data. Notably, the density of the lower lithospheric mantle was derived from 3D gravity inversion modeling.
This data set includes the results of digital image correlation of 21 analogue experiments on isostatic relaxation of the crater floors performed at UHH-Tec Modelling Laboratory of the Universität Ham-burg. The structural evolution of model upper crust was systematically analysed for various initial depths and diameters of crater floors, gleaned from numerical models for average continental crust. The experiments show that crater floor uplift is accomplished by long-wavelength subsidence of the crater periphery and may operate on time scales of thousands of years in nature. Detailed descriptions of the experiments and monitoring techniques can be found in Eisermann and Riller (2024) to which this data set is supplementary. The data presented here consist of movies and images displaying cumulative displacements of deforming analogue model surfaces.
This repository contains InVent4Cast, a package of MatLab routines designed to constrain the state of stress of a volcanic system by means of posterior Probability Density Functions (PDFs) of the stress tensor components. To do so, it employs the model of three-dimensional (3D) dyke pathways developed by Mantiloni et al., 2023a (SAM: Simplified Analytical Model of dyke Pathways in Three Dimensions) to match the known locations of past eruptive vents to the known or assumed volume in the subsurface ("Dyke nucleation zone" or "D") where their parent dykes nucleated from. This is achieved by a) using SAM to backtrack dyke pathways from the vents down through the crust for a given stress model; b) quantifying the intersection between such pathways and D through a misfit function; c) using this procedure to run a Markov Chain Monte Carlo (MCMC) algorithm to sample the stress parameters' space. The posterior information provided by the stress inversions can then be used to produce forward simulations of dyke pathways with SAM and forecast the surface distribution of future eruptive vents across the volcanic system. The repository also collects data, figures and results of the application of InVent4Cast to some of the synthetic scenarios of dyke pathways in calderas presented by Mantiloni et al., 2023a. These results were detailed and discussed by Mantiloni et al., 2024a, to which the reader is referred for further information. The synthetic scenarios include numerical models of crustal stress state, focusing on gravitational loading/unloading due to topography and tectonic processes as the dominant stress sources. These stress sources are accounted for by a set of stress parameters. Results include posterior probability density functions (PDFs) of such stress parameters after applying the stress inversion to the scenarios, as well as probability maps of eruptive vent opening across the synthetic volcanic areas. Synthetic scenarios, stress inversions and vent forecasts were produced between May 2022 and November 2023.
The data present the intermediate to final results when we introduce a two-step fully Bayesian approach with coupled uncertainty propagation for estimating crustal isotropic and radial anisotropy models using Rayleigh and Love dispersion data along with receiver functions in Sri Lanka. In the first step, 2D surface wave tomography is used to generate period-wise ambient noise phase velocity maps for Rayleigh and Love waves along with their associated uncertainties. Here we provide the inter-station dispersion data (folder: 2024-003_1_Ke-et-al_interstation_surface_ dispersion_curves; ASCII) for the 2D surface wave tomography process, along with the results of the tomography, including the velocity maps (folder: 2024-003_Ke-et-al_2_velocity_map; ASCII). In addition, the results (folder: 2024-003_3_Ke-et-al_2Dmcmc_inversion_results) are available in MAT format, along with a MATLAB script to allow users to extract the data independently. In a second step, local surface wave dispersion and model errors are derived from the velocity maps. The surface wave dispersion receiver functions are jointly inverted to obtain the isotropic mean shear wave and radial anisotropy profiles as a function of depth at each station site. The input data (folder: 2024-003_Ke-et-al_4_inv_data; ASCII) of surface dispersion and receiver function for the inversion are presented here, as well as the final result model from the inversion (folder: 2024-003_Ke-et-al_5_model; ASCII and .dat formats).
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The southern Andes are regarded as a typical subduction orogen formed by oblique plate convergence. Despite decades of studies, there is considerable uncertainty as to how deformation is kinematically partitioned in the upper plate. Using scaled analogue experiments modelling, we test the concept of dextral transpression for this orogen. We advocate that the GPS velocity field portrays interseismic deformation related to deformation of strong crust north, and weak crust south, of 37°S. Contrary to the popular hypotheses that the Liquiñe-Ofqui Fault Zone, a prominent intra-arc deformation zone, takes up most of the plate boundary-parallel dextral strike-slip, we find that dextral transpression affects the entire model orogen through tectonic segmentation of crust. Moreover, prominent, regularly spaced sinistral oblique-slip thrust faults, interpreted as antithetic Riedel shears, developed spontaneously in all of our experiments and call into question the general believe that their NW-striking natural equivalents formed from pre-Andean discontinuities. Our experiments prompt us to reconsider the apparently well-established geodynamic concept that strain and margin-parallel displacement is localized on a few margin-parallel faults in the southern Andes.
The dataset presented in this compilation provides the input data used for the geological interpretation and for the model parameterization (Norden et al., 2022) of a 3D seismic survey in the area of the geothermal research platform Groß Schönebeck (carried out in 2017; Krawczyk et al., 2019), focussing on the deep Permo-Carboniferous geothermal targets. The geothermal research platform Groß Schönebeck is located about 50 km north of Berlin, on the southern edge of the Northeast German Basin, and is equipped with two deep wells, the E GrSk 3/90 and Gt GrSk 4/05 boreholes. In this data compilation we provide general data on the location of the boreholes and data on the applied methods and the interpretation of petrophysical properties (density, porosity, permeability, thermal properties) obtained by core analysis and well-log interpretation. Because cores were available for the E GrSk 3/90 borehole only, most of the data is referring to the borehole that was drilled more or less vertically. The other borehole (Gt GrSk 4/05) is a deviated well, drilled as a geothermal production well. Further on, we provide the main interpreted structural reflector horizons of the geological model from surface to the assumed top of sedimentary Carboniferous (for discussion of the uncertainty of this boundary please consider the comments in Norden et al., 2022) and the horizons and 3D grid properties of a parameterized simulation grid for the deep geothermal target (sedimentary Rotliegend and Permo-Carboniferous volcanic rocks).
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