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This dataset presents the raw data from one experimental series (named CCEX, i.e., Caldera Collapse under regional Extension) of analogue models performed to investigate the process of caldera collapse followed by regional extension. Our experimental series tested the case of perfectly circular collapsed calderas afterward stretched under regional extensional conditions, that resulted in elongated calderas. The models are primarily intended to quantify the role of regional extension on the elongation of collapsed calderas observed in extensional settings, such as the East African Rift System. An overview of the performed analogue models is provided in Table 1. Analogue models have been analysed quantitatively by means of photogrammetric reconstruction of Digital Elevation Model (DEM) used for 3D quantification of the deformation, and top-view photo analysis for qualitative descriptions. The analogue materials used in the setup of these models are described in Montanari et al. (2017), Del Ventisette et al. (2019), Bonini et al., 2021 and Maestrelli et al. (2021a,b).
The data-set contains nine apatite fission-track data from samples collected at strategic locations to constrain the age of deformation along an ideal transect crossing the main Apennine watershed (from the north-eastern margin of the Casentino Basin to the Romagna Apennines. Apatite grains for fission-track analysis were separated from ~5 kg bulk samples. Four of them were collected from the Falterona Sandstones (Chattian-Aquitanian) and five in the Marnoso- Arenacea For-mation (Burdigalian-Tortonian). Apatite grains were separated using standard heavy liquids and a mag-netic technique.
This dataset contains provenance detrital data from the glacimarine sequence of Deep Sea Drilling Project Leg 28, Site 271 e 272. The two boreholes are located in the middle of the Ross Sea, in a key site close at 180° longitude that is considered the present confluence between ice flows fed by West Antarctica and East Antarctica. These two sites, together, provide insights to Middle Miocene to Present ice sheet dynamics. We analyzed eight detrital samples of glaciomarine sediments, four from 272 drill core and 4 from 271. We used an integrated single-grain provenance approach (Olivetti et al., 2023). This multi-proxy provenance study employs conventional U-Pb detrital zircon dating integrated with apatite U-Pb and fission-track dating and trace element analysis of detrital apatite. The dataset suggests a recurrent E - W oscillations of the ice flow divide between ice fed by West and East Antarctica ice sheets, respectively.
This dataset presents the raw data of an experimental series of analogue models performed to investigate the influence of inherited brittle fabrics on narrow continental rifting. This model series was performed to test the influence of brittle pre-existing fabrics on the rifting deformation by cutting the brittle layer at different orientations with respect to the extension direction. An overview of the experimental series is shown in Table 1. In this dataset we provide four different types of data, that can serve as supporting material and for further analysis: 1) The top-view photos, taken at different steps and showing the deformation process of each model; they can be used to interpret the geometrical characteristics of rift-related faults; 2) Digital Elevation Models (DEMs) used to reconstruct the 3D deformation of the performed analogue models, allowing for quantitative analysis of the fault pattern. 3) Short movies built from top-view photos which help to visualize the evolution of model deformation; 4) line-drawing of fault and fracture patters to be used for fault statistical quantification. Further details on the modelling strategy and setup can be found in Corti (2012), Maestrelli et al. (2020), Molnar et al. (2020), Philippon et al. (2015), Zwaan et al. (2021) and in the publication associated with this dataset. Materials used for these analogue models were described in Montanari et al. (2017) Del Ventisette et al. (2019) and Zwaan et al. (2020).
This dataset shows the original data of a series of enhanced-gravity (centrifuge) analogue models, which were performed to test the influence of the pre-existing fabrics in the brittle upper crust on the evolution of structures resulting from oblique rifting. The obliquity of the rift (i.e., the angle between the rift axis and the direction of extension) was kept constant at 30° in all the models. The main variable of this experimental series was the orientation of the pre-existing fabrics (indicated as the angle between the trend of the fabric and the orthogonal to extension), which varied from 0° to 90° (i.e., from orthogonal to parallel to the extension direction). The inherited discontinuities were reproduced by cutting with a knife through the top brittle layer of models. An overview of the experimental series is shown in Table 1. In this dataset, four different data types are provided for further analysis: 1) Top-view photos of model deformation, taken at different time intervals and showing the deformation process of each model; they can be used to interpret the geometrical characteristics of rift-related faults; 2) Digital Elevation Models (DEMs) used to reconstruct the 3D deformation of the analogue models, allowing for quantitative analysis of the fault pattern. 3) Movies of model deformation, built from top-view photos, which help to visualize the evolution of model deformation; 4) Faults line-drawings to be used for statistical quantification of rift-related structures. Further information on the modelling strategy and setup can be found in the publication associated to this dataset and in Corti (2012), Philippon et al. (2015), Maestrelli et al. (2020), Molnar et al. (2020), Zwaan et al. (2021), Zou et al. (2023). Materials used to perform these enhanced-gravity analogue models were described in Montanari et al. (2017), Del Ventisette et al. (2019) and Zwaan et al. (2020).
Bentonite clay is the primary candidate for buffer material in a deep geological repository for high level nuclear waste in many countries. However, the material is only suitable if the swelling capacity is maintained with respect to changing temperature and humidity, as well as the possible impact of infiltrating fluids and/or microorganisms. Therefore, it is key to investigate possible influences that may change the swelling capacity of bentonite. This dataset was used to analyze the interaction between Wyoming bentonite clay (MX-80) and the bacterial strain Stenotrophomonas bentonitica BII-R7T (DSM 103927) under the influence of solutions of different salinities (NaCl, artificial Opalinus Clay porewater, and deionized water). The swelling capacity of the Na-montmorillonite was examined at temperatures between 27°C and 80°C, and relative humidity ranging from 0% to 80%.
This data-set contains provenance detrital data from the glacimarine sequence of Deep Sea Drilling Project Site 270. The 270 site was cored on a flank of the Central High in the central Ross Sea and recovered a thick Oligocene to lower Miocene glacimarine sequence, overlain by ~20 m of Pliocene to Recent strata. This site provides important temporal constraints on regional stratigraphy and insights into late Oligocene to early Miocene ice sheet dynamics. We analyzed eight detrital samples of glaciomarine sediments distributed along the core and two from the basement rocks recovered during coring, by using an integrated single-grain provenance approach. This multi-proxy provenance study employs conventional U-Pb detrital zircon dating integrated with apatite U-Pb and fission-track dating and trace element analysis of detrital apatite and clast petrology. The data-set suggests a general evolution from local erosion due to small ice caps to far-travelled glacial detritus responding to the continuous sea floor subsidence. The detrital age spectra of a late Oligocene diamicitite is consistent with far travelled grains from southern West Antarctica (WA), suggesting an expansion of the WA ice sheet that should be the oldest and first evidence of ice sheet growth on the WA.
This dataset presents the raw data from one experimental series (named CCEX, i.e., Caldera Collapse under regional Extension) of analogue models performed to investigate the process of caldera collapse followed by regional extension. Our experimental series tested the case of perfectly circular collapsed calderas afterward stretched under regional extensional conditions, that resulted in elongated calderas. The models are primarily intended to quantify the role of regional extension on the elongation of collapsed calderas observed in extensional settings, such as the East African Rift System. An overview of the performed analogue models is provided in Table 1. Analogue models have been analysed quantitatively by means of photogrammetric reconstruction of Digital Elevation Model (DEM) used for 3D quantification of the deformation, and top-view photo analysis for qualitative descriptions. The analogue materials used in the setup of these models are described in Montanari et al. (2017), Del Ventisette et al. (2019), Bonini et al., 2021 and Maestrelli et al. (2021a,b).
This data publication includes the paleomagnetic and rock magnetic dataset from two Calypso giant piston cores collected at the crest of the Bellsund (GS191-01PC) and Isfjorden (GS191-02PC) sediment drifts during the Eurofleets-2 PREPARED cruise, on board the R/V G.O. Sars (Lucchi et al., 2014). These sediments drift are located on the eastern side of the Fram Strait (western Spitsbergen margin).The dataset gave the opportunity to define the behavior of past geomagnetic field at high latitude and to constrain the palaeoclimatic events that occurred in a time framework spanning Marine Isotope Stage (MIS) 3 to Holocene (Caricchi et al., in press). The data are provided as raw data in .dat format and interpreted data in .xlx and tab-delimited text formats. The raw data files can be opened using a text-editor, MS Excel or equivalent software.The interpreted data are presented as a metadata table with definitions of the column heads and 5 individual tables with the content:- Metadata: definition of columns heads- Rock Magnetic-Paleomag Data 01: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GS191-01PC- Rock Magnetic-Paleomag Data 02: down core variation of rock magnetic and paleomagnetic data [k (10E-05 SI); ARM (A/m); ARM/k (A/m); MDF (mT); ΔGRM/ΔNRM; NRM (A/m); MAD (°); Incl PCA (°) Decl PCA (°)] for Core GS191-02PC- Cores Correlation: Depth of Core GS191-02PC and depth of Core GS191-02PC correlated to Core GS191-01PC, NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-02PC; Depth of Core GS191-01PC NRM (A/m); ARM(A/m) and RPI down-core variations for core GS191-01PC; tie points values.- Age Model 01: age model for Core GS191-01PC- Age Model 02: age model for Core GS191-01PC
This dataset includes paleomagnetic and rock magnetic analyses from four sediment cores collected on continental slope of Storfjorden and Kveithola trough‐mouth fans (western Spitsbergen margin, southern Svalbard archipelago). In detail, piston core SV-04 was collected during the Spanish SVAIS cruise on board the BIO Hespérides (Longyearbyen, July 29 – August 17, 2007); gravity cores EG-02 and EG-03 were collected during the EGLACOM cruise on board the RV OGS-Explora (Kristinsund, July 07 – August, 2008) and gravity core GeoB17603-3 was collected during the MSM30-CORIBAR cruise on board the RV Maria S. Merian (Tromsø, July 16 – August 15, 2013).The dataset gave the opportunity to reconstruct variation of past geomagnetic field at high latitude and to refine the age-calibrated Holocene PSV and relative paleointensity (RPI) stack curves derived from marine sedimentary cores retrieved in the Northwestern Barents Sea (NBS). Data are presented as one metadata table with definitions of the column heads and four tables with the data on the measured rock magnetic and paleomagnetic parameters and 3 tables with the results of data analyses and elaboration.List of tables is as follows:1) Metadata: definition of columns heads;2) GeoB17603-3: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core GeoB17603-3;3) EG02: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core EG02;4) EG03: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core EG03;5) SV04: down-core variation of rock magnetic and paleomagnetic parameters [k (10E-05 SI); ARM (A/m); MDF (mT); NRM (A/m); MAD (°); Incl PCA (°); Decl PCA (°)] for Core SV04;6) Cores Correlation: GeoB17603-3 depth (cm) and ARM (A/m) down-core variations for core GeoB17603-3 (master core); EG02 depth (cm), EG02 depth transferred to GeoB17603-3 depth (cm), ARM (A/m) down-core for core EG02 and correlation tie points; EG03 depth (cm), EG03 depth transferred (cm), ARM (A/m) down-core and correlation tie points; SV04 depth (cm), SV04 transferred to GeoB17603-3 (cm), ARM (A/m) down-core for core SV04 and correlation tie points;7) Age model: age model for Core GeoB17603-3; EG02; EG03; SV04; 8) NBS stack: paleomagnetic inclination, declination and RPI variations for NBS stack. In order to define high-resolution correlation between the cores the along-core variation of rock magnetic and paleomagnetic parameters (Sagnotti et al., 2011; Caricchi et al., 2018) have been integrated with the distribution of characteristic lithofacies (Lucchi et al., 2013), and the available age constraints (Sagnotti et al., 2011; Caricchi et al., 2018). Core to core correlation has been reconstructed by means of the StratFit software (Sagnotti and Caricchi, 2018), which is based on the Excel forecast function and linear regression between subsequent couples of selected tie-points.The data are presented as one Excel sheet with seven tables and in tab-delimited ASCII format in the zip folder: 2020-002_Caricchi-et-al_data-txt.zip.
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