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Crystal Size Distribution Analyses of Isothermal Deformation Experiments

In this work we aimed to investigate and quantify the relative importance of dynamic conditions (e.g., stirring in a Concentric Cylinder apparatus) on the crystallization kinetics of basaltic magmas (Stromboli). This was achieved by observing the final textures of the samples, analysing the resulting SEM images, and finally relating the resulting parameters to specific growth and nucleation rates. The dataset is made of: 1) A folder called "SEM Images" with two sub-folders inside, representative of the two experiments carried out, called "CG1" and "CG2.3" 2) An Excel file, consisting in 4 data sheets, where all results of image analysis are included, divided in sections. The sheets are also available in CSV format. This publication results from work conducted under the transnational access/national open access action at High Pressure - High Temperature Laboratory (HPHT Lab), Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy supported by WP3 ILGE - MEET project, PNRR - EU Next Generation Europe program, MUR grant number D53C22001400005.

Digital Elevation Models and Time-Lapse Imagery from Analogue Experiments on the Interaction between Magma Injection and Rainfall-Driven Surface Processes

This dataset documents a series of analogue experiments designed to investigate the coupled evolution of magma-driven surface uplift and rainfall-driven geomorphic processes. Seven controlled laboratory experiments were conducted, each combining shallow intrusion of a magma analogue with imposed rainfall of varying intensity, in order to systematically explore the role of surface processes under different forcing conditions. The experimental setup consists of a rigid Plexiglas container filled with a water-saturated granular mixture formulated to reproduce brittle crustal behaviour under wet conditions. Magmatic intrusion was simulated by injecting a fixed volume (360 cm³) of low-viscosity polyglycerine through a basal inlet at three distinct injection rates, while surface processes were imposed using an overhead rainfall system delivering three different rainfall intensities. Topographic evolution during each experiment was monitored using a structured-light laser scanner (Artec Leo). For every model run, six Digital Elevation Models (DEMs) were generated at synchronised stages corresponding to 0%, 20%, 40%, 60%, 80% and 100% of the injected volume, yielding a total of 42 DEMs. Raw scans were processed through a triangulated irregular network (TIN) meshing workflow and subsequently rasterised to GeoTIFF format without additional post-processing, in order to preserve the original topographic signal. In parallel, time-lapse photographic documentation was acquired throughout each experiment using a digital camera, providing a complementary visual record of dome growth, surface incision and sediment redistribution. The dataset is organised into two main components: (i) high-resolution topographic datasets (DEMs) and (ii) time-indexed photographic sequences, both linked to the temporal evolution of each experiment. Quality control procedures include scanner calibration prior to acquisition, verification of mesh consistency and raster resolution, and a closed-system experimental design ensuring mass conservation. All data are distributed in their original formats and accompanied by detailed documentation describing experimental procedures, data processing workflows, and file organisation, enabling reproducibility and reuse in quantitative analyses of coupled magmatic and surface processes. This publication results from work conducted under the transnational access/national open access action at University Roma Tre, Laboratory of Experimental Tectonics (LET) supported by WP3 ILGE - MEET project, PNRR - EU Next Generation Europe program, MUR grant number D53C22001400005.

Results of analogue tectonic models of rifting and tectonic lineament reactivation along the Main Ethiopian Rift

This data set includes results from a total of 13 analogue tectonic models aimed at simulating the activation of tectonic lineaments associated with the Main Ethiopian Rift in eastern Africa. We use a model set-up based on previous work by Zwaan et al. (2021, 2022). This set-up involves a velocity discontinuity (VD, i.e., the edge of a mobile base plate) to induce extension in the overlying brittle- and viscous model materials representing the upper and lower crust, respectively. Additional structural weaknesses (seeds) at the base of the brittle layer serve to represent activated tectonic weaknesses in nature. Model parameters (different VD and seed orientation, and different seed diameters) are summarized in Table 1. The model results presented in this data publication are obtained through Digital Image Correlation (DIC) and Structure-from-Motion (SfM) analyses. A more detailed description of model set-up, model results, and their interpretation can be found in Zwaan et al. (2025)

Carbon isotopes in OIB Mantle source

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Magnetic biomonitoring of airborne metallic particles using lichen transplants on cultural heritage – The Jerónimos Monastery, Lisbon, Portugal. Preliminary Results

Magnetic biomonitoring employing lichens transplants is a non-invasive and low-cost method to evaluate airborne particulate matter (PM) pollution originated from urban traffic. This study was designed to assess the indoor deposition of traffic-related PM within the 16th-century Jerónimos Monastery in Lisbon, employing lichen transplants exposed during two distinct periods of 11weeks each. Data includes the low field magnetic susceptibility values for all the lichen transplants, exposed during summer 2024. This publication results from work conducted under the transnational access/national open access action at Paleomagnetic Laboratory of the Istituto Nazionale di Geofisica e Vulcanologia (INGV) in Rome supported by WP3 ILGE - MEET project, PNRR - EU Next Generation Europe program, MUR grant number D53C22001400005.

∂13C data of picrite rock samples from St Helena Island (South Atlantic Ocean)

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CAMSIZER Particle Size Data from Explosive Paroxysms of Mt. Etna (2011–2025)

Mt. Etna in Catania, Italy, is an active volcano that has served as a natural laboratory for many volcanologists worldwide. Its paroxysms are unique eruptive events caused by a complex magmatic system that, despite being one of the most studied volcanoes, there is still an open field to contribute to the understanding of magma dynamics and degassing. This data set is a compilation of grain-size and shape measurements of 14 tephra samples of Mt. Etna. The tephra samples correspond to some of the most explosive cycles and events of the volcano from 2011 to 2025. The measurements were obtained using CAMSIZER through the ILGE TNA grant funding at INGV sezione di Catania. This dataset is the basis for a research project investigating the controls on the volume of gases and magma emitted during an eruption of Mt. Etna. This publication results from work conducted under the transnational access/national open access action at Sedimentology Laboratory – INGV sezione di Catania supported by WP3 ILGE - MEET project, PNRR - EU Next Generation Europe program, MUR grant number D53C22001400005.

Rheology of PDMS Korasilon G20OH (#1000039264) used at the Laboratory for Experimental Tectonics at GFZ Helmholtz Centre for Geosciences, Potsdam, Germany

This dataset provides rheometric data of the PDMS Korasilon G 20 OH used for analogue modelling at the Laboratory for Experimental Tectonics at GFZ Helmholtz Centre for Geosciences, Potsdam, Germany. The batch number is 1000039264, purchased in 2022 and opened in 2026. The material sample has been analyzed at the Laboratory for Experimental Tectonics at GFZ Helmholtz Centre for Geosciences, Potsdam (HelTec) using an Anton Paar Physica MCR 301 rheometer in a cone-plate configuration at room temperature (21˚C). Rotational (controlled shear rate) tests with shear rates varying from 10^-4 to 10^-1 s^-1 were performed. According to our rheometric analysis, the material is quasi-Newtonian (n~1) at strain rates below 10^-2 s^-1 and weakly shear rate thinning above. The viscosity of G 20 OH is 1.8*10^4 Pa s.

Horizontal-to-Vertical Spectral Ratios (HVSR) of NW Italy seismic stations elaborated during the "FOCUS-HVNEA" NOA-ILGE project

This data set consists of Horizontal-to-Vertical Spectral Ratios (HVSR) resulting from the application of the software package HVNEA (HV Noise and Earthquake Automatic Analysis) with the aim of comparing them with those resulting from the application of another method, namely STATION (Seismic sTATion and sIte amplificatiON). The results, relative to more than 24,000 HVSR, derive from the processing of 700,000 seismograms recorded over different time periods by 8 stations of the networks IV (Italian Seismic Network), GU (Regional Seismic Network of North Western Italy) and GV (Mobile RSNI). To compare the results of the two methods as accurately as possible, the waveforms were subjected to the same preprocessing already used to elaborate the results stored in the STATION database. To this end, the methodological workflow applied with HVNEA for station IV.MURB involved the selection of segments from continuous recordings for each event reported in the INGV catalogue located within a radius of 120 kilometres from the station. Starting from the automatically picked S-wave onsets, 12-second windows were then extracted and used for the analysis of earthquake recordings. Regarding the noise analysis, it should be noted that STATION again considers 12-second windows selected before the P-wave onset, while HVNEA requires the use of a signal window of at least 60 seconds. A window of 3,600 seconds was used for the analysis. The comparison of the HVSR was performed in the frequency band 0.1–15 Hz. All analysed curves, for both earthquake and noise recordings, show generally similar shapes and identify significant peaks in correspondence of the same frequency ranges, although the amplitudes obtained with STATION are systematically higher than those obtained with HVNEA. To obtain a quantitative comparison, various statistical metrics commonly used to measure the discrepancy between data sets were applied, namely the Mean Squared Error, the Mean Absolute Error and the Pearson Correlation Coefficient. This publication results from work conducted under the transnational access/national open access action at the Site effects Laboratory – INGV L’Aquila supported by WP3 ILGE–MEET project, PNRR–EU Next Generation Europe program, MUR grant number D53C22001400005.

Digital image correlation data of analogue models of strike-slip fault evolution in quartz sand G12

The data set includes the 3D incremental displacement fields resulting from Digital Image Correlation (DIC) analysis of four strike-slip experiments performed at the laboratory for experimental tectonics at GFZ Helmholtz Centre for Geosciences in Potsdam in 2022. The data here include the incremental displacement time series from four strike-slip experiments with quartz sand G12 (Rosenau et al., 2018): two with 1.2 cm thick sandpack and two with a 3 cm thick sandpack. Ramos Sánchez et al. (in review) used the incremental horizontal displacement fields from strike-slip fault experiments within different materials to train Convolutional Neural Networks (CNN) to predict off-fault deformation from active fault trace maps. Because off-fault deformation is difficult to ascertain in the field, convolutional neural networks trained on data from scaled physical experiment that simulate upper crustal deformation can inform how much off-fault deformation can be expected along crustal strike-slip faults. For training the CNNs Ramos Sánchez et al. (in review) used incremental horizontal displacement fields from experiments in wet kaolin (Cooke et al., 2021) and both poured and sedimented CV32 sand (Visage et al., 2023). All experiments used identical conditions of straight basal velocity discontinuity to produce overlying strike-slip faults. The benefit of training the CNN on strike-slip experiments within different materials is to capture a wide range of strike-slip deformation that may occur within the upper crust. After training of the CNN Ramos Sánchez et al. (in review) tested the trained on unseen fault maps including maps from the two 3 cm thick G12 sand experiments of this dataset. The 1.2 cm sandpack maps were excluded from the study because the strike-slip faults were very fine and closely spaced so they were not as well resolved as those of 3 cm sandpack. By testing the CNN trained on CV32 fault maps with the fault maps from G12 sand experiments, Ramos Sanchez et al. were able to assess if the applicability of the CNN to experiments with similar but not identical sand. Information on the displacement field analysis and CNN training and testing can be found in the main text and supplement to Ramos Sánchez et al. (in review). The file structure of this zip folder is fully described in the list of files.

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