AndreaBozzo/ceres-open-data-index huggingface dataset:
Synthetic Rayleigh wave phase delays and Vsv upper-mantle structure in the Pacific, a synthetic tomography

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.

Tags: NERC_DDC, Seismic tomography, Seismology, Surface waves
Organization: British Geological Survey (BGS)
Rayleigh wave phase delays and Vsv upper-mantle structure in the Pacific

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.

Tags: NERC_DDC, Seismic tomography, Seismology, Surface waves
Organization: British Geological Survey (BGS)
New Zealand peatland stable isotopes (NERC grant NE/J013595/1)

This dataset comprises raw carbon, oxygen and hydrogen stable isotope data on water (precipitation and terrestrial) and plant cellulose from Empodisma-dominated peatlands throughout New Zealand. This data has been published in two open access papers: Amesbury, M. J., Charman, D. J., Newnham, R. M., Loader, N. J., Goodrich, J. P., Royles, J., Campbell, D. I., Roland, T. P. and Gallego-Sala, A. V. 2015. Carbon stable isotopes as a palaeoclimate proxy in vascular plant dominated peatlands. Geochimica et Cosmochimica Acta 164, 161-174. Amesbury, M. J., Charman, D. J., Newnham, R. M., Loader, N. J., Goodrich, J. P., Royles, J., Campbell, D. I., Keller, E. D., Baisden, W. T., Roland, T. P. and Gallego-Sala, A. V. 2015. Can oxygen stable isotopes be used to track precipitation moisture source in vascular plant dominated peatlands? Earth and Planetary Science Letters 430, 149-159.

Tags: Carbon, Hydrogen, NERC_DDC, Oxygen, Peat, Stable isotopes
Organization: British Geological Survey (BGS)
Marine Environmental Mapping (MAREMAP) 1:10 000 scale bedrock map for Weymouth Bay, Dorset

This is a 1:10,000 scale Bedrock geological map for some 800 km2 of the seabed across Weymouth Bay in Dorset. It joins seamlessly to the onshore BGS 1:10,000 scale Digital Geological Mapping (DiGMapGB-10) and therefore shows the coastal geology in detail. It comprises bedrock polygons, faults and limestone bed lines. The map was produced in 2015-16 by digitising against a seamless on- to offshore-shore elevation surface generated from high (1 m bin) resolution bathymetry and coastal Lidar data, collected as part of the Dorset Integrated Seabed Survey (DORIS) project and the Regional Coastal Monitoring Programme of England, made available by the Channel Coastal Observatory under the Open Government Licence. The map can be veiwed using the map viewer at www.bgs.ac.uk/research/marine/doris.html. This map has been produced under the auspices of the Marine Environmental Mapping Programme (MAREMAP), in collaboration between the BGS and the University of Southampton. The map itself should be referred to as: Westhead, R K, Sanderson, D J, Dix, J K. 2016. Bedrock map for the offshore Weymouth Bay area, with seamless coastal joint to BGS onshore (DiGMapGB-10) mapping. Bedrock Geology. 1:10 000 (Marine Environmental Mapping Programme, MAREMAP)

Tags: Bed rock, Coasts, Geology, Maps, Marine geology, NERC_DDC, Sea floor
Organization: British Geological Survey (BGS)
Lithium isotope ratios of sampled Precambrian and Paleozoic Mudrocks

Geochemical measurements which quantify the lithium isotope ratios (d7Li) of Paleozoic (541–251 Mya) mudstones. Samples were obtained from various field locations across Scotland, Wales, England and New Brunswick, Nova Scotia, Canada. Sampled mudstones are listed under their formation name, with information on the locations of each outcrop belt and further details on lithological characteristics, including environment of formation, freely available on the British Geological Survey Lexicon of named rock units (https://www.bgs.ac.uk/technologies/the-bgs-lexicon-of-named-rock-units/) and Government of Canada weblex (https://weblex.canada.ca/weblexnet4/weblex_e.aspx), for UK and Canadian samples, respectively. Stratigraphic age is given in accordance to the GSA geological timescale v.5.0. Following sampling, specific methodologies for preparation for Lithium isotope analysis are provided in the Metadata Lineage. The data was collected to understand changes in weathering intensity coeval with the Paleozoic expansion of land plants, with lithium isotopes a powerful trace for silicate weathering as they are sensitive to the balance between rock dissolution and clay formation. The tabulated lithium isotope ratios were compared at different temporal stages of plant evolution through the Paleozoic. Samples were collected by the University of Cambridge. Lithium isotope ratios were obtained by William McMahon and supervised by Edward Tipper and Mohd Tarique. Mass spectrometry was carried out by William McMahon and David Wilson at University College London.

Tags: Isotope ratio, Lithium isotopes, NERC_DDC, Proterozoic
Organization: British Geological Survey (BGS)
Detrital zircon U-Pb ages from the Taklamakan Desert, the Yellow River, and the Chinese Loess Plateau. (NERC grant NE/I009248/1)

The dataset contains detrital zircon U-Pb ages from a large scale detrital provenance study of modern and recent sand and silt from the Chinese Loess Plateau (CLP) and its proposed sources in the Yellow River, its Tibetan headwaters, and the Taklamakan Desert, which lies upwind from the CLP. (NERC grant NE/I009248/1)

Tags: Deserts, Geochronology, Loess, NERC_DDC, Uranium thorium lead dating, Zircon
Organization: British Geological Survey (BGS)
Long-period magnetotelluric time series at 9 sites in Scotland, UK

Time series of long-period magnetotelluric data collected between October 2023 and March 2024 at 9 sites in Scotland, UK, as part of the NERC projects NE/S007407/1 and NE/V002694/1. The data consist of measurements of the Earth’s natural electric and magnetic field variations in five channels and with a 1-sec sampling rate. There is a text file with the site coordinates, a single PDF file containing all relevant metadata, and individual ASCII files for each site named by the site ID.

Tags: Electrical field, Magnetic fields, Magnetotelluric surveys, NERC_DDC
Organization: British Geological Survey (BGS)
Medical X-ray CT Data and Model of Rate-Dependent Capillary Trapping in Heterogeneous Bentheimer Rock.

The data presented herein comprises raw and upscaled medical X-Ray CT data, MATLAB processing files and MATLAB analytical model files for the paper ‘Rate dependency of capillary heterogeneity trapping for CO2 storage’. The medical X-ray CT data is organised as three repeat experiments, each at a different flow rate. Full core scans capture the steady state core flood experiments. The core is a heterogenous Bentheimer outcrop (39 mm diameter, 15 cm length). Experimental MATLAB processing files upscale the saturation values in 3D. Post-processing MATLAB files are used to produce figures in the paper. The MATLAB analytical model files contain input parameters and code needed to run the analytical model and compare with experimental results.

Tags: Carbon dioxide, Heterogeneity, NERC_DDC, Storage
Organization: British Geological Survey (BGS)
Rhenium-osmium abundance and isotope data obtained for the Kyoei-Sakin-zawa Creek Section, Japan

Rhenium-osmium abundance and isotope data obtained for the Kyoei-Sakin-zawa Creek Section, Japan. Sample collection August 2021 principally funded by NSF-NERC award. The approximately 340 m stratigraphically thick Cretaceous section mainly comprises organic bearing siltstone, sandstone and interbedded tuff horizons associated with the OAE1d (Oceanic Anoxic Event 1d) interval.

Tags: NERC_DDC, Osmium, Rhenium, Sandstone, Siltstone
Organization: British Geological Survey (BGS)
Landslide polygons in Kahramanmaras province, Turkey (2022-2023)

The Kahramanmaras landslide inventory shapefile contains polygons representing landslide areas in Kahramanmaras province, Turkey up to July 2023. It provides valuable data for analysing the spatial distributions, size, and characteristics of pre- and co-seismic landslides in this region.

Tags: NERC_DDC
Organization: British Geological Survey (BGS)
Future projections of the hydrology of the Philippines dataset

The dataset ‘Future projections of the hydrology of the Philippines’ provides climate change scenarios from 1980-2089 using UKCP18 scenarios RCP 2.6 and RCP 8.5 run through the Philippine National Hydrological model. Each relative concentration pathway (RCP) scenario contains 15 ensemble members, and we present a total of 30 model runs from 1980-2089. The model simulates evapotranspiration, runoff, infiltration, soil moisture, river baseflow and groundwater levels. Aggregated variables at a monthly time interval are provided in this dataset in NetCDF format for each RCP and scenario or aggregated to provincial level in csv format. The provincial levels are based on the first level subdivisions from GADM (https://gadm.org/maps/PHL_1.html).

Tags: Climate change, Evapotranspiration, Ground water recharge, Hydrology, NERC_DDC, Runoff, Soil water
Organization: British Geological Survey (BGS)
Long-period Magnetotelluric data collected at 44 sites in Scotland, England and Wales

The data set contains the timeseries of long-period magnetotelluric data collected at 44 sites in Great Britain during the SWIMMR-SAGE project 2021-2023. At each site, five channels were recorded with a 1s sampling rate: The magnetic field components (north-south Bx, east-west By, and the vertical component Bz) were measured using a fluxgate magnetometer manufactured from Lemi, Lviv, Ukraine. The horizontal electric field (north-south Ex, east-west Ey) was recorded using non-polarizable electrodes. The installations were performed by BGS staff following the manufacturers guidelines and best practices. For each site, a folder containing the timeseries data and a pdf containing all relevant metadata are provided. Format: YYYY-MM-DD HH:MM:SS BX BY BZ EX EY Magnetic values in units of nT (10^-9 T). Electric field values are in mV/km. A BGS open report has been published on the NERC Open Research Archive (NORA) describing the motivation, site selection and data collection. It is referenced in the metadata and can be found here: https://nora.nerc.ac.uk/id/eprint/537960/

Tags: Conductivity, Magnetotelluric surveys, NERC_DDC, Weather
Organization: British Geological Survey (BGS)
X-ray tomography data and Electron Microprobe Analyses for natural mushy samples

This dataset comprises X-ray tomography image stacks, label files, and vector matrices containing 3D location coordinates of velocity distributions derived from permeability simulations for igneous mushy samples. The X-ray tomography images have spatial resolutions ranging from 3.5 to 56 µm, providing detailed 3D representations of the rock samples. The data were collected with samples from four distinct locations: Brandur (Iceland), Avellino (Italy), K?lauea Iki (Hawaii, USA), and Saint Kitts (St. Kitts and Nevis). Additionally, the dataset includes electron microprobe analyses of plagioclase and amphibole minerals from Saint Kitts. The primary purpose of this dataset is to support research into volcanic processes, rock sample analysis, and permeability simulations in igneous cumulate and plutonic rocks. It is particularly useful for geologists, volcanologists, and researchers in material science and structural geology. Each sample in the dataset is organised into a dedicated folder containing the following X-ray tomography image stacks (in a separate folder named as the sample), label files (.am files named using the sample name as a prefix), binary images of the connected plutonic matrices (.am files with the suffix “Axis-Connectivity”), vector matrices with 3D location coordinates (“PotentialZ” for the pressure field, “VelocityZ” for the velocity field), a DOCX file with the metadata for the sample such as voxel size and the number of layers for each label, and, where applicable, a subfolder with SEM images.

Tags: Electron microscopy, NERC_DDC, Permeability, Plutonic rocks, Simulation, Tomography, X rays
Organization: British Geological Survey (BGS)
Cave monitoring data from Cueva de Asiul, northern Spain (2010-2014) which act to support palaeoclimate interpretation of speleothem deposits from this site (NERC studentship grant NE/I527953/1)

The following dataset provides climate and cave monitoring data from Cueva de Asiul northern Spain between 2010 and 2014. This data set was initially presented in Smith et al., (2016) Cave monitoring and the potential for palaeoclimate reconstruction from Cueva de Asiul, Cantabria (N. Spain). International Journal of Speleology, 45(1), 1-9. This data set represents the majority of cave monitoring undertaken at this site as part of a NERC funded PhD project (NERC studentship grant NE/I527953/1), data collection either occurred within this single cave site (43°19’0’’N, 3°35’28’’W) or within 1km of the cave in the village of Matienzo. The data set includes high resolution monitoring data for a range of climatic parameters including, cave and external temperature, rainfall direction, amount and oxygen isotope value, soil and cave air pCO2 concentration and carbon isotope value, cave drip rates and oxygen and deuterium isotope values. All data was collected using standard automated logging systems and the data/ samples were analysed either at Lancaster University, UK or at the NERC isotope geosciences laboratory, British Geological Survey, UK. Any missing data is a result of automated logger malfunction and is explained in full in the above cited paper. In combination this data offers a very high resolution, multiyear veiw into hydrological and cave ventilation processes, each of which play a major role in controlling speleothem growth and chemical makeup in Cueva de Asiul. The data set presents the pertinent background monitoring for the accurate interpretation of speleothems from this cave site. Those who may be interested in the data set include cave scientists who wish to implement a monitoring station/understand how climatic parameters influence speleothem development, or those who wish to obtain focused climate data from the Matienzo region between 2010 and 2014. The data set was collected by members of Lancaster University and the Matienzo caving expedition as part of NERC studentship grant NE/I527953/1. All cave monitoring was undertaken with kind permission from Gobierno de Cantabria, Cultura.

Tags: Caves, Chemistry, Conductivity, Hydrology, Karst, NERC_DDC
Organization: British Geological Survey (BGS)
SHARP UK and UK Continental Shelf stress field observations

This dataset is made up of two parts. 1. Stress field orientations which were interpreted as part of the Stress Histories and Reservoir Properties project (SHARP Storage). SHARP Storage is a research project funded under the ERA-NET ACT program, Project No 327342. http://www.act-ccs.eu/. 2. Legacy stress field data which has been collected by various BGS projects, or from third party reports.

Tags: NERC_DDC
Organization: British Geological Survey (BGS)
Field data including geological map with sample locations, sample description, thin section images and EBSD/EDS data

Field data including geological map with sample locations, sample description, thin section images, Electron Backscatter Diffraction (EBSD) and Energy Dispersive X-ray Spectrometry (EDS) data. Field work and targeted sampling took place, in May 2023, around the exceptional field exposure of an interpreted Slow Earthquake zone in Col d’Amoss, New Caledonia. This data has come into existence through research funded by the NERC Grant NE/X012778/1 Exploring the geological signature of Slow Earthquakes through legacy experiments and field analysis.

Tags: Electron diffraction analysis, Metamorphic rocks, NERC_DDC, Thin sections, X ray spectroscopy
Organization: British Geological Survey (BGS)
Spatial and temporal datasets for shear-thinning and Newtonian small-scale analogue dyke experiments

These data consist of spatial and temporal datasets for 7 different small-scale laboratory experiments of fluid-driven fractures, described in the paper The hidden internal flow dynamics of shear-thinning magma in dikes (Kavanagh et al., 2025, accepted in AGU Advances, March 2025). These experiments, conducted at the University of Liverpool, are analogue models of magma transport via flux-driven dykes. The 7 experiments are named HEC1, HEC2, HEC3, XG1, XG2, W1, W2. Experiments HEC and XG involved the injection of a shear-thinning fluid (a hydroxyethyl cellulose polymer (HEC) and xanthan gum solution (XG)), whilst experiments W1 and W2 involved Newtonian water injections. Experiments HEC1, HEC3, XG1 and W1 were ‘seeded fluid experiments’ or ‘PIV experiments’, whilst experiments HEC2, XG2 and W2 were ‘seeded gelatine experiments’ or ‘dyke-thickness experiments’. We provide the raw experimental data along with the Matlab scripts used to process and plot the data. Further information is provided in the containing README documents.

Tags: Dykes, Magma, NERC_DDC, Rheology, Viscosity, Volcanic zones
Organization: British Geological Survey (BGS)
Broadband seismic data from the Askja Caldera, Iceland, August 2023-August 2024

This dataset comprises broadband seismic data from the Askja Caldera, Iceland, which consists of ~12 months of continuous recording from August 2023-August 2024. A total of 23 Guralp 6TD and Certimus seismometers were deployed in and around the ~8km diameter caldera, with sampling rates set to 100sps. Each seismometer was buried ~30cm below the surface, and attached to a power supply consisting of 3 100Amp-hour batteries and 100 W solar panels mounted on a wooden frame. The batteries were placed in a box that sat on the supports of the solar panel frame to act as ballast, and wrapped in a plastic sheet. A Gps unit was mounted on the solar panel frame. Access to most stations is by foot, and installation was undertaken either by carrying the equipment on foot or by helicopter. The dataset provided is in standard miniseed format, and has an accompanying dataless file for each instrument type in xml format. The miniseed data is archived in day files under the directories "2023" and "2024", while the xml file is located in the directory "dataless". The data is of good quality, with both local earthquakes and teleseisms easily detected. The data were collected for the purposes of tracking microseismic activity associated with the recent reinflation event at Aska, and to help facilitate seismic imaging beneath the caldera using both body and surface wave tomography. The data may be of use to other scientists with an interest in earthquake seismology, imaging, and characterisation of geothermal areas near active volcanoes. The data were collected by the University of Iceland and University of Cambridge, both of who are responsible for interpretation of the data. The archive is complete as it currently stands. The data were converted into miniseed using a standard format that is consistent with archives stored at the IRIS DMC.

Tags: Melts, NERC_DDC, Seismic data
Organization: British Geological Survey (BGS)
Seismic node data from the Askja Caldera, Iceland, July/August 2023 and July/August 2024.

This dataset comprises seismic node data from the Askja Caldera, Iceland, which consists of one month of continuous recording in each of July/August 2023 and July/August 2024. A total of 14 nodes were deployed within the ~8km diameter caldera; each unit consists of a 3-component Smartsolo sensor (IGU-16HR 3C) recording at 250sps. The units were buried such that their tops were ~10cm below the surface. The nodes were distributed irregularly in the caldera due to access issues; namely, only portions of the caldera are walkable. The dataset provided is in standard miniseed format, and has accompanying dataless files in xml format. The miniseed data is archived in day files under the directories "2023" and "2024", while the xml files are located in the root directory of the distribution. The data is of good quality, with both local earthquakes and teleseisms easily detected. The data were collected for the purposes of tracking microseismic activity associated with the recent reinflation event at Aska, and to help facilitate seismic imaging beneath the caldera using both body and surface wave tomography. The data may be of use to other scientists with an interest in earthquake seismology, imaging, and characterisation of geothermal areas near active volcanoes. The data were collected by the University of Iceland and University of Cambridge, both of who are responsible for interpretation of the data. The archive is complete as it currently stands.

Tags: Melts, NERC_DDC, Seismic data
Organization: British Geological Survey (BGS)