The dataset contains full 40Ar/39Ar geochronological data completed by multi-collector noble-gas mass spectrometry using the laser total fusion technique on sanidine separated from the Drachenfels trachyte (Drachenfels, Bad Godesberg, Germany). The Drachenfels sanidine represents a useful intra-laboratory reference material for laser work. The purpose of the dataset is to share updated intercalibration data for the intra-laboratory Drachenfels sanidine, relative to the widespread fluence monitors Alder Creek sanidine and Fish Canyon sanidine, that can be used in future 40Ar/39Ar geochronological studies. W. McIntosh (New Mexico Geochronology Research Laboratory, Socorro, NM), P. Renne (Berkeley Geochronology Center, Berkeley, CA) and J.R. Wijbrans (Vrije Universiteit Amsterdam, NL) kindly provided splits of FCs, ACs and DRA1, respectively. The Ar laserprobe facility was realized with the financial support of CNR. The CO2 laser system was acquired within the PNRR – Mission 4, “Education and Research” - Component 2, “From research to business” - Investment line 3.1, “Fund for the creation of an integrated system of research and innovation infrastructures” - Project IR0000025 MEET.
The study of textural and chemical characteristics of mafic minerals from mantle xenoliths is essential to investigate the nature of the upper mantle in a continental geodynamic context, melts generation and their effects related to mantle metasomatism. Particular textures in mantle minerals, inclusions or secondary veins of different nature (silicates vs carbonates), bubbles, represent petrographic tools to investigate these processes within the mantle. Petrographic 2D thin sections might overlook these mineralogical features, and 3D textural analysis through X-ray computed microtomography (micro-CT) are crucial to overcome these limitations. We focused on the Mt. Vulture volcano (southern Italy) rare mantle xenoliths, brought to the surface by a melilitite-carbonatite magma (141 ka), with particular emphasis to spinel-wehrlite xenoliths and wehrlitization processes that is located close to an area of intense CO2 degassing associated to catastrophic earthquakes. Preliminary results showed interesting 3D textural distributions within the studied xenoliths-forming mantle minerals. In particular, the micro-CT allowed to furnish new constrains on the relationship between fluids entrapment and migration, and structural discontinuities. Indeed, some minerals (especially those from the wehrlite xenoliths) showed a well-correlated distribution of fluid inclusions along the secondary fracturing planes. This publication results from work conducted under the transnational access/national open access action at Istituto Nazionale di Geofisica e Vulcanologia – Osservatorio Vesuviano (INGV-OV) and supported by WP3 ILGE - MEET project, PNRR - EU Next Generation Europe program, MUR grant number D53C22001400005. The author thanks also Gianmarco Buono and Lucia Pappalardo for their support during the analyses and the post processing process.
During this research at the 40Ar-39Ar Geochronology Laboratory, CNR, Pisa, Italy, the analysis focused on 40Ar- 39Ar radiometric dating to investigate three distinct periods of volcanism from the Kula Volcanic Province in western Türkiye. This area is a monogenetic volcanic field (MVF) and exhibits three eruptive periods in the Quaternary Period. The three periods of volcanism are named the Burgaz (first stage), the Elikcitepe (second stage), and the DivilitTepe (third stage). This type of volcanism is poorly understood due to their small eruption size and limited material, lack of suitable datable material, and short eruption duration, with geological histories often poorly constrained. The data publication includes data of four samples from the three different eruptive phases that were analysed, including one from the first stage, one from the second stage, and two from the third stage. The samples were successfully dated and gave ages as the Early Pleistocene (first stage), the Middle Pleistocene (second stage) and the Holocene (third stage). The data from this work will be used as part of a PhD thesis. The ages will be integrated into a more detailed geochemical analysis and facilitate a detailed examination of the temporal and spatial relationships for the evolution of the volcano, and insights into the mechanisms driving volcanic activity in the region. Data was acquired by an ARGUS VI multi-collector noble gas mass spectrometer, using the step-heating process for all samples. Between 9.9 and 11.1 mg of groundmass material was analysed.
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.
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.
This dataset includes updated versions of high-resolution age models derived from six sedimentary cores collected from the southwestern Svalbard margin. The dataset presented here represents a refinement of a previous version (Caricchi et al., 2020; 2022), achieved through correlation of the stratigraphic trends of the ARM/k parameter with the GICC05modelext timescale and the NGRIP record (Rasmussen et al., 2014). Additional refinement was obtained from newly acquired and recalibrated radiometric data, as well as from improved lithological constraints. The dataset enables the calculation of sedimentation rates during glacial and interglacial periods and during short-lived, widespread meltwater pulses and Heinrich-like events, thereby allowing the reconstruction of ice-sheet instability and meltwater events along the Svalbard–Barents Sea margin over the last 60,000 years.
This dataset includes both original and previously published paleomagnetic data. The new data refer to a marine sediment sequence (ANTA02-AV43 core) collected in the in Wood Bay, located along the coast of Victoria Land, within the western Ross Sea (Antarctica) and spanning the last ca. 10 ka. The formerly published paleomagnetic data from coeval sediment cores refer to the from the RS15‐GC57 core of Truax et al. (2025) collected in the adjacent Robertson Bay, and from the PC18 and PC19 cores of Macrì et al. (2005), recovered from the continental rise of the Wilkes Land basin offshore the coast of East Antarctica. The data from these two latter cores were relocated to the location of the ANTA02-AV43 core with the Noel and Batt (1990) method. The estimated age of the formerly published dataset has been re-evaluated after correlation of paleomagnetic trends with the ANTA02-AV43 core and prediction of geomagnetic variation at the ANTA02-AV43 site according to the CALS10k.2 model of Constable et al. (2016). We then combined the new ANTA02-AV43 dataset with existing Holocene records from sediment cores of comparable resolution (PC18 and PC19) to develop the paleomagnetic “HOLOANTA” stack. This composite record averages paleomagnetic data over the last 10,000 years in 200-year intervals. It includes relative paleointensity (RPI) as well as paleomagnetic inclination and declination data, providing a robust regional Holocene RPI curve alongside directional secular variation (PSV) trends.
This data set includes the results of high-resolution digital image correlation (DIC) analysis and digital elevation models (DEM) applied to analogue modelling experiments (Table 1). Six generic analogue models are extended on top of a rubber sheet. In Series A, as extension velocity increases, the initial biaxial plane strain condition evolves into triaxial constrictional or intermediate strain. Models A1 and A2 are two-phase models and Model A3 is a three-phase model. Conversely, in Series B, as extension velocity decreases, the model starts with triaxial constrictional strain and ends up with biaxial plane or intermediate triaxial strain. Models B1and B2 are two-phase models and Model B3 is a three-phase model. Detailed descriptions of the experiments can be found in Liu et al. (2025) to which this data set is supplement. The data presented here are visualized as topography, the horizontal cumulative surface strain, and incremental profiles.
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