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We present a global model of ocean tide loading (OTL)-induced surface deformation for the M2 harmonic constituent. The model quantifies three-dimensional displacement amplitudes and phases across the horizontal (west and south) and vertical (up) components. Computations were performed using the advanced VILMA-E software (Tanaka et al., 2021; Huang et al., 2021), which integrates the TPXO9.5 global tide model (Egbert & Erofeeva, 2002) with a three-dimensional anelastic Earth structure optimized for OTL observations (Huang et al., 2025). The final output is provided as a high-resolution global grid (0.1° × 0.1°) in netCDF format, compatible with standard geospatial processing tools such as NCO and CDO for efficient data access and analysis.
The data set comprises petrophysical laboratory data for four carbonate rocks and one sandstone – both in solid rock and crushed state. Rock plugs and particle packings of intentionally crushed and sieved material are investigated. Thereby, eight particle size classes with a mean diameter between 0.032 and 9.66 mm are investigated. The data set includes complex electrical conductivity (from Spectral Induced Polarization – SIP), specific surface (from nitrogen adsorption) and porosity (from mercury intrusion MIP). Further analyses include e.g. particle geometry, Nuclear Magnetic Resonance (NMR), Scanning Electron Microscopy (SEM), Computer Tomography (μCT), uniaxial compression strength and mineralogical composition (chemical analysis, XRD).
This dataset is supplementary material to "What controls the presence and characteristics of aftershocks in rock fracture in the lab?" by Joern Davidsen, Thomas H. W. Goebel, Grzegorz Kwiatek, Sergei Stanchits, Jordi Baro and Georg Dresen (Davidsen et al., 2021). The dataset contains source parameters of acoustic emission events recorded during triaxial fracture and friction (stick-slip) experiments performed on two Westerly Granite samples, Aue Granite and Flechtigen Sandstone. Basic seismic catalog associated with each experiment contains origin time, hypocentral location in local Cartesian coordinate system of the sample, acoustic-emission derived magnitude and polarity coefficient (a simplified measure of mechanism type: shear, pore opening or collapse). Extended catalog information is available for selected experiments including information whether event is background seismicity, trigger of following events or triggered by preceding events. In addition, we provide information on focal mechanisms calculated in each experiment using full moment tensor inversion. Focal mechanism catalogs include information on strike, dip and rake of two nodal planes, and percentage of isotropic, clvd and double-couple components of the full moment tensor. The detailed description of catalog is provided in the data description file which is also included in the zip folder of the data.
AnyPetro is a Matlab-based, GUI-controlled software for adjusting the parameters of arbitrary and non-linear petrophysical models to laboratory data. A Gauss-Newton scheme is applied for the minimization of a damped least-squares objective function. Thereby the Jacobian matrix is calculated explicitely with the perturbation method. Data weighting, model parameter transformations and different regularizations are provided. The petrophysical model resp. the forward operator is introduced by the user in the form of a short text file. Example data files and forward operators as well as Matlab App and standalone installers are provided. The software tool has been developed for and successfully applied to the fitting of various petrophysical data sets (e.g. porosity, specific surface, electrical conductivity, spectral induced polarization) from fluid, unconsolidated, solid and crushed samples to non-linear, multi-parameter models (e.g. electrical CO2-water interaction, Debye Decomposition, crushed rock conductivity).
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.
This data publication reports results of Monte-Carlo simulations, configurations, pair-, and triplet-correlation functions for a Lennard-Jones fluid. The Lennard-Jones potential (Jones 1924) u^LJ is one of the prototypes of an intermolecular interaction. Gottschalk (2019) performed 32705 NVT Monte-Carlo simulations using 1372 LJ particles (N) for a large number of densities rho a and temperatures T. The simulations range from 0.002 ≤ rho* ≤ 1.41 and 0.45 ≤ T* ≤ 25 using a cut-off of 5.0 for rho* ≤ 1.37 and 4.5 for rho* > 1.37, respectively. At each state point, 1372 LJ particles (N = 1372) were equilibrated using 5 x 10^4 cycles and subsequently sampled for 0.75 x 10^6 cycles. One cycle did consist of 1372 trial moves, one for each particle. Every 1000 cycles the thermodynamic properties U* and p* are recorded as well as the current configuration of particles including the pair- and triplet-correlation functions. A total of 27615 of these simulations were in the stable and metastable single fluid phase field which is a necessary requirement. Field boundaries, U*, p* and further details of the Monte-Carlo simulations are given in Gottschalk (2019). Bin widths of 0.005 for pair- and 0.04 in all directions for triplet-correlation functions were used. Further details for the calculations of the pair- and triplet-correlation functions are presented in Gottschalk (2021). All configurations of particles, pair- and triplet-correlation functions of those 27615 simulations are reported here. However, the total amount of data for configurations, pair-, and triplet-configurations is 600, 0.3, and 1170 GB, respectively. The data are provided as zipped files and described in the data description and the associated Read-me.txt. All rho* and T* state points are listed in the file Conditions.txt in the top level of the files.
This dataset provides friction data from ring-shear tests (RST) for a quartz sand (“A”). This material is used in various types of analogue experiments in Tectonic Modelling Lab of the University of Bern as an analogue for brittle layers in the crust or lithosphere. The material has been characterized by means of internal friction coefficients μ and cohesions C. Three sub-datasets represent a systematic increase of the sieving height from 10 cm to 20 cm to 30 cm into a shear cell of type No. 1, following the same protocol. This dataset shows that packing density of quartz sand is dependent on the chosen sieving height. However, the effect of the sieving height on internal friction coefficients μ as well as cohesion C is minor and thus negligible in sandbox experiments. According to our analysis the material shows for a sieving height of 10 cm a Mohr-Coulomb behaviour characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of μP = 0.70, μD = 0.60 and μR = 0.65, respectively. Cohesions C are in the order of 40 – 80 Pa.
This dataset provides friction data from ring-shear tests (RST) for a corundum sand (“NKF120”). This material is used in various types of analogue experiments in Tectonic Modelling Lab of the University of Bern as an analogue for brittle layers in the crust or lithosphere. The material has been characterized by means of internal friction coefficients μ and cohesions C. Three sub-datasets represent a systematic increase of the sieving height from 10 cm to 20 cm to 30 cm into a shear cell of type No. 1, following the same protocol. This dataset shows that packing density of corundum sand is dependent on the chosen sieving height. However, the effect of the sieving height on internal friction coefficients μ as well as cohesion C is minor and thus negligible in sandbox experiments. According to our analysis the material shows for a sieving height of 10 cm a Mohr-Coulomb behaviour characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of μP = 0.75, μD = 0.64 and μR = 0.68, respectively. Cohesions C are in the order of 70 – 105 Pa.
The presented datasets and scripts have been obtained for testing the performance of a trigger algorithm for use in combination with a ringshear tester ‘RST-01.pc’. Glass beads (fused quartz microbeads, 300-400 µm diameter) and thai rice are sheared at varying velocity, stiffness and normal load. The data is provided as preprocessed mat-files ('*.mat') to be opened with Matlab R2015a and later. Several scripts are provided to reproduce the figures found in (Rudolf et al., submitted). A detailed list of files together with the respective software needed to view and execute them is available in 'List_of_Files_Rudolf-et-al-2018.pdf' (also available in MS Excel Format). More information on the datasets and a small documentation of the scripts is given in 'Explanations_Rudolf-et-al-2018.pdf'. The complete data publication, including all descriptions, datasets, and evaluation scripts is available as 'Dataset_Rudolf-et-al-2018.zip'.
This dataset includes volumetric data sets from a Digital Volume Correlation (DVC) analysis for recreating images of a re-analyzed analogue models previously presented in (Zwaan et al., 2018). Using a brittle-viscous two-layer setup, this experiment focused on the evolution of a rift-pass structure. On top of the viscous layer, two viscous seeds are placed with a right-stepping stair-case offset to simulate two propagating rift segments, confining a central rift-pass block (Fig. 1). The selected model was analyzed by means of Digital Volume Correlation (DVC) applied on X-Ray computed tomography (XRCT) volumes. The data set includes DVC data in the form of .mat files for incremental (i.e., 20 min intervals) and cumulative displacement components. In addition, this dataset provides a MATLAB script for 1) recreating volumetric displacement sets of subsequent time steps 2) calculating finite stretches and 3) rigid-body rotations. The used experiment was performed at the Tectonic Modelling Laboratory of the University of Bern (UB). DVC analysis was performed at the Royal Holloway University London (RHUL). The model consists of a two-layer brittle-viscous set up with a total thickness of 8 cm and the set up lies on top of a 5 cm thick foam-plexiglass base with a length and width of 800 mm by 305 mm, respectively. Before model construction, the foam-plexiglass assemblage is placed between longitudinal side walls and expands during the course of the experiment as the mobile sidewalls move apart. The applied divergence velocity is 7.5 mm/h and with has an orthogonal direction with respect to the viscous seeds. This results in a maximum displacement of 30 mm after a total run time of 4h. Detailed descriptions of the experiment, mechanical properties as well as monitoring techniques can be found in Schmid et al. (2024).
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