This repository contains data and inversion results for the SOLA finite-frequency tomography of the Pacific upper-mantle in a synthetic setup. It is related to the paper by Latallerie et al., 2025 in Seismica and more information can be found in this publication. The code repository for the finite-frequency SOLA tomography can be found at Gitlab: https://gitlab.com/FranckLatallerie/sola_ffsw.git The dataset consists of Rayleigh wave phase delays (dispersion) measured on vertical component seismograms for earthquake-receiver pairs across the Pacific hemisphere. Synthetic phase delays are measured on synthetic reference seismogram computed with normal-mode summation using the MINEOS software (e.g. Masters et al., 2011) in the radial reference model stw105 (Kustowski et al., 2008). “Observed” seismograms are synthetic waveforms computed in the 3D model S362ANI (Kustowski et al., 2008), using the SEM solver SPECFEM3DGlobe. These synthetic waveforms have been provided by the GlobalShakeMovie project (Tromp et al., 2010) and were downloaded from the Earthscope (formerly IRIS) Data Management Center (IRIS DMC, 2012) using the network code SY and channel code MXZ. All network and stations used are listed in the Acknowledgements of the accompanying paper. The model represents the vertically polarised shear wave velocity (Vsv) 3D structure of the upper mantle in the Pacific. It is accompanied with full 3D resolution and uncertainty. The 3D tomographic grid is made of voxels of size 2 by 2 degrees laterally, and 25 km vertically, spanning the whole sphere, starting at the surface down to ~400km depth. In the files, the longitude is the fastest varying coordinate, then latitude, followed by radius. The midpoints of the voxels range between 1 and 359 for longitude and between 89 (north) to -89 (south) for latitude, both in steps of 2 degrees, while radius changes from 6358.5 to 5983.5 km inclusive, in steps of 25 km.

This repository contains data and inversion results for the SOLA finite-frequency tomography of the Pacific upper-mantle. It is linked to the paper by Latallerie et al., in prep, which follows one from the synthetic tomography paper (Latallerie et al., 2025, Seismica), which both provide more information. The code repository for the finite-frequency SOLA tomography can be found at Gitlab: https://gitlab.com/FranckLatallerie/sola_ffsw.git The dataset consists of Rayleigh wave phase delays (dispersion) measured on vertical component seismograms for earthquake-receiver pairs across the Pacific hemisphere. Phase delays are measured using synthetic reference seismogram computed with normal-mode summation using the MINEOS software (e.g. Masters et al., 2011) in the radial reference model stw105 (Kustowski et al., 2008). Observed seismograms were downloaded from the Earthscope (formerly IRIS) Data Management Center (IRIS DMC, 2012). All network and stations used are listed in the Acknowledgements of the README file. The model represents the vertically polarised shear wave velocity (Vsv) 3D structure of the upper mantle in the Pacific. It is accompanied by full 3D resolution and uncertainty. The 3D tomographic grid is made of voxels of size 2 by 2 degrees laterally, and 25 km vertically, spanning the whole sphere, starting at the surface down to ~400km depth. In the files, the longitude is the fastest varying coordinate, then latitude, followed by radius. The midpoints of the voxels range between 1 and 359 for longitude and between 89 (north) to -89 (south) for latitude, both in steps of 2 degrees, while radius changes from 6358.5 to 5983.5 km inclusive, in steps of 25 km.

These datasets are for samples collected from Volcan de Colima (Mexico) which is at coordinates: 19°30’46" N 103°37’02" W / 19.512727°N 103.617241°W. This volcano erupts magmas that are crystal-bearing, making those cooled volcanic rocks ideal for experimentation. And so samples were cored from blocks from that volcano and those cores were then returned to high temperatures (up to 1000 C) and then deformed under controlled stresses. These data form the central part of this publication: https://doi.org/10.1016/j.jvolgeores.2024.108198. The deformation experiments were performed at LMU (Munich, Germany). The volcano coordinates from which the samples were collected are given above. The samples were deformed in a high temperature hydraulic press equipped with acoustic emission sensors. This is the ideal device for determining the behaviour of the magmas from Volcan de Colima under the same stresses and temperatures at which they were erupted. The data give key clues as to the modes of flow behaviour of the magma in volcanoes. This work provides generalised insights into magma flow behaviour.

The dataset contains unconfined compressive strength data of salt samples collected from the Northwich Halite Member at the Winsford Mine in Cheshire, UK. Each sample was unconfined and deformed under standard uniaxial stress conditions, where the primary principal stress corresponds to the axial stress and the intermediate and minimum principal stresses are equal to 0. Each sample was axially compressed using either a constant strain rate of 1e-5 per second or a constant loading rate of 200 N/s. The tests were completed using a servo-controlled stiff load frame in the Rock Mechanics and Physics Laboratory at the British Geological Survey, Keyworth UK. The data are separated into individual Microsoft Excel files, with each file representing a single test. Each file contains time, force, stress, displacement, and strain data.

Geomechanical strength data of mudstone samples collected from the Gunthorpe Member, of the Sidmouth Mudstone Formation of the Mercia Mudstone Group. Testing includes Uniaxial Compressive Strength (UCS), Indirect Tensile Strength (ITS) and Triaxial strength testing completed at the University of Leeds (UoL) and Point Load testing and thermal loading testing completed at the British Geological Survey (BGS). All sample preparation, preservation and testing were completed to the specification outlined by the ISRM (2007) unless otherwise stated. For all Triaxial testing, each sample was deformed under standard triaxial stress conditions, where the primary principal stress corresponds to the axial stress and the intermediate and minimum principal stresses are equal to that of the confining pressure. The data are separated into individual Excel files (.xlsx), with each file representing a single test. Each file contains time, force, stress, displacement, and strain data.

These data contain 1) load string compliance mechanical data used to retrieve the absolute sample deformation (Compliance folder); 2) Acoustic emissions data (RawData_AEs folder); 3) Compaction data of the granular packs (RawData_Press folder). These data we used for the publication by Zorn et al., 2024 (https://doi.org/10.30909/vol.07.02.765783). A PDF document detailing further information of the contents of each folder entitled "Zorn_Compaction_Data_Overview" is provided. All data were collected and analysed at LMU Munich on samples from the Eifel Volcanic Field (Germany) and from the Krafla caldera (Iceland). The geographical location of the samples collected is of no relevance to this study, as the samples were selected for their physical attributes. All data were collected and analysed in 2023 and 2024. Loose fragments of volcanic rock from the Eifel Volcanic Field or Krafla caldera were placed in a metal cup and progressively loaded axially to a target load before either 1) removing the load (called "dynamic stressing tests"); or 2) holding the load for 6h or 5 days (called "dynamic followed by static tests"). All experiments were conducted using an Instron uniaxial press, and all displacement data are corrected for the deformation of the loading column (compliance). During each experiment, acoustic emissions sensors attached to the side of the cup to monitor cracking events These data were collected to understand the compaction behaviour of volcanic edifices that consist of interbedded layers of variably loose/coherent materials.

This Web service provides layers which show data relating to offshore survey activities undertaken by the British Geological Survey (BGS) and its predecessors. The layers are polygon, line and point layers which indicate the spatial areas of survey activities. The survey overview layer shows the location and basic information for coastal and marine surveys. It includes information about the survey, including the types of equipment deployed during the survey. For some surveys, a zip file of additional data can be downloaded using the URL link provided where available. The geophysical surveys layers show survey lines and shot points along those lines, where applicable. Geophysical surveys include shallow seismic reflection (e.g. airgun, boomer, pinger, sparker and water gun) and sonar (e.g. echo sounder, sidescan sonar and transit sonar). There may be several types of equipment deployed on a single survey line. Survey lines are uniquely named with a survey and line identifier (name or number). For example, 1985/6#16 is line 16 of survey 1985/6. The lines layer includes seismic reflection (sub seabed imaging which provides information about structures below the seabed) and sonar (seabed imaging which provides information about the roughness of the seabed or simple bathymetric data). Links to scanned images of geophysical records are provided (where available) for openly available survey lines where terms of use are known. The backscatter layer shows the location and basic information for bathymetric surveys containing backscatter data. A zip file of the backscatter image files for the survey can be downloaded using the URL link provided. Note that there can be more than one polygon per survey and these will link to the same zip file for the entire survey. The majority of the data were collected and processed for the Maritime and Coastguard Agency (MCA) under the Civil Hydrography Programme. To download the related bathymetry data go to the Admiralty Marine Data Portal (https://datahub.admiralty.co.uk/portal/apps/sites/#/marine-data-portal). The oil and gas industry site surveys layer shows the geographic location of oil and gas industry site surveys. The metadata for these surveys were collated via the BGS MEDIN Data Archive Centre (DAC). BGS do not hold the data. For further information contact the custodian of the data. For more information, contact BGS Marine Enquiries (offshoredata@bgs.ac.uk).

This Web service provides the Indicative Atlas of Radon Potential for Great Britain dataset. Every building contains radon (Rn) but the levels are usually low. The chances of a higher level depend on the type of ground. The UK Health Security Agency (UKHSA) and the BGS have published a map showing where high levels are more likely. The darker the colour, the greater the chance of a higher level of radon. The chance is less than one home in a hundred in the white areas and greater than one in three in the darkest areas.

This dataset contains pore pressure measurements from the Bunter Sandstone Formation across the Southern North Sea of the UK Continental Shelf including quadrants 41 -50. The pressure measurements have been collected from released offshore legacy well records available from the UK National Data Repository (NDR) which is managed and served by the North Sea Transition Authority (NSTA). The data were compiled by British Geological Survey researchers in support of research projects seeking to evaluate the potential of the Bunter Sandstone Formation for storage of carbon dioxide. These projects were funded by United Kingdom Research and Innovation (UKRI). The dataset comprises direct pressure measurements from formation pressure testers (downhole tools containing a probe and packer on a retractable pad, a pretest chamber and pressure gauges) as well as formation pressure estimates from Drill Stem Tests (DST). Most of the measurements comprise results from Schlumberger’s Repeat Formation Tester (RFT), Formation Multi Tester (FMT) and Modular Dynamics Tester (MDT) tools.

Whole rock Hafnium (Hf) isotope data for mid-oceanic ridge basalt (MORB) samples from the Reykjanes ridge, Arctic Ocean, Equatorial MAR, South MAR, SEIR. The Hf isotope results are not yet published but will contribute to the mantle characterisation efforts detailed in Béguelin et al. (2025) (https://doi.org/10.1029/2025GC012357). Mid-Ocean Ridge Basalt (MORB) glasses were crushed and sieved to ~600 µm. Chips were then hand-piked under a binocular microscope to remove alteration (only optically clear chips selected). Hf fractions were purified using the column chemistry protocol of Béguelin et al. (2017) and references therein (https://doi.org/10.1016/j.gca.2017.09.015). Hf isotope ratios were measured on a Nu Instruments Plasma II mass spectrometer equipped with an Aridus desolvating nebuliser, on 50 ppb solutions. Accuracy and precision were monitored with repeated measurements of the JMC-475 standard (reported in dataset). Scanning Electron Microscopy-Energy Dispersive Spectrometry (SEM EDS) and Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry (LA-ICP-MS) major and trace elements maps of eclogites from the Raspas complex (Ecuador). Samples were prepared as 1-inch epoxy mounts. Samples are described in John et al. (2010) (https://doi.org/10.1007/s00410-009-0427-0). The objective of this (present) work is to trace U, Pb and Th fluxes during subduction, as documented by obducted eclogites. Dataset includes SEM mapping of major elements with a Zeiss Sigma HD Field Emission Gun Analytical Scanning Electron Microscope (SEM) using energy dispersive X-ray spectroscopy (EDS). Elements measured are Fe, Ca, Cu, Ni, Mn, K, Na, Al, Mg, Ti, O, Cr, S, Si, P, Zr. Resolution is 25µm. Dataset also includes LA-ICP-MS mapping of trace elements using an Elemental Scientific ESL213 laser coupled to a Thermo Scientific iCap Q mass spectrometer. Elements measured are Rb, Sr, Mo, Cs, La, Yb, Pb, Th, U. Parameters: Raster spacing (resolution): 40µm, scan speed: 80 µm/s, rep rate: 20 Hz, fluence: 4.5 J/cm2, dwell time per element: 50 ms, injector: ESI dual concentric injector (DCI). SEM data are in weight %, LA-ICP-MS data are in µg/g (ppm). Data are unpublished, but further details can be found in the poster included with the dataset. Dataset was produced at the School of Earth and Environmental Sciences, Cardiff University, in the context of NERC grant NE/T012633/1 Mantle Circulation Constrained (MC2): A multidisciplinary 4D Earth framework for understanding mantle upwellings.