AndreaBozzo/ceres-open-data-index huggingface dataset:
Measurements of the the depth, grain size characteristics and sedimentation rate for sediment cores collected from the floodplain of the Rio Beni in 2011, 2012, and 2013 (NERC Grant NE/H009108/1)

The data in this file represent measurements of the the depth, grain size characteristics and sedimentation rate for sediment cores collected from the floodplain of the Rio Beni in 2011, 2012, and 2013. The age of floodplain sediments was determined from measurements of the Pb-210 activity of floodplain sediments within the cores. The sample collection and laboratory techniques and data analysis procedures used to obtain these data are described in: Aalto, R & Nittrouer, C.A. (2012) Phil. Trans. Royal. Society., vol 370, p 2040-2074. This is an ascii text comma delimited file. Each row in the file represents a sediment core. The file contains 12 columns of data representing: column 1: The core name column 2: The latitude of the core location in digital degrees column 3: The longitude of the core location in digital degrees column 4: The year in which the core was collected column 5: The depth of the floodplain core (in cm) column 6: The age of the oldest sediment in the core (in years) column 7: The depth to the oldest sediment in the core (in cm) column 8: The estimated mean sedimentation rate for the core (in cm per year) column 9: The percentage of the core comprised of clay column 10: The percentage of the core comprised of silt column 11: The percentage of the core comprised of sand column 12: The mean density of sediment in the core (in g per cubic cm)

Tags: Flood plains, Fluvial sediments, NERC_DDC, Water flooding
Organization: British Geological Survey (BGS)
River channel centreline positions for the Rio Beni, Bolivia (NERC grant NE/H009108/1)

Each contains two columns of data representing the UTM coordinates of the centre line of the Rio Beni in Bolivia. These coordinates were derived by digitising Landsat imagery and aerial photographs (1960 only). The number in the file name after "banks_c" corresponds to the year. Numbers in column 1: UTM Zone 19S Easting Numbers in column 2: UTM Zone 19S Northing

Tags: Flood plains, NERC_DDC, River channels, Water flooding
Organization: British Geological Survey (BGS)
River channel bank height data for the Rio Beni, Bolivia (NERC grant NE/H009108/1)

Each file contains four columns of data representing: column 1: UTM Zone 19S Easting coordinate for survey location along the Rio Beni, Bolivia. column 2: UTM Zone 19S Northing coordinate for survey location along the Rio Beni, Bolivia. column 3: Measurment range from observer to bank in m column 4: Bank height in m (the difference between bank top and low flow water level) UTM coordinates were measured using a Trimble Global Position System with OmniSTAR HP correction Measurement range and bank height were measured using a GPS supported laser range finder (Impulse 200 LR< Laser Technology inc) Survey 1 was carried out between 15th and 19th September 2011, when the flow discharge within the Beni was in the range 453-530 cumecs Survey 2 was carried out between 20th and 23rd September 2011, when the flow discharge within the Beni was in the range 762-892 cumecs

Tags: Flood plains, NERC_DDC, River channels, Water flooding
Organization: British Geological Survey (BGS)
Fracture interaction data supporting Thomas et al. 2017. Quantification of fracture interaction using stress intensity factor variation maps. JGR: Solid Earth (NERC grant NE/L000660/1)

Data supporting the publication: Robin N. Thomas, Adriana Paluszny, Robert W. Zimmerman, 2017. Quantification of fracture interaction using stress intensity factor variation maps. Journal of Geophysical Research: Solid Earth [DOI: 10.1002/2017JB014234]. Each sheet contains the data used in each figure, covering method validation, stress intensity factor perturbations, and data used to create fracture interaction maps. The data were created using the Imperial College Geomechanics Toolkit.

Tags: Geomechanics, NERC_DDC
Organization: British Geological Survey (BGS)
Scottish Natural Heritage (SNH) Multibeam and Geophysical Survey of Arran for SNH 2015/9_SNH: South and East coast of Arran (25/Nov/2015 to 17/Apr/2016)

This marine multibeam and sidescan survey (2015_9_SNH) took place in three phases (25/11/2015 to 03/12/2015, 17-28/02/2016 and 04-17/04/2016) in the area off South and East coast of Arran on board the RV White Ribbon. The survey was carried out by the British Geological Survey (BGS) on behalf of Scottish Natural Heritage/MarineScotland. The aim of the survey was ensonification of 10 areas designated by SNH. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system and dual frequency Sidescan Sonar (100khz, 455khz). These data are archived by BGS. Technical details of the survey are contained in the BGS Report of Survey.

Organization: British Geological Survey (BGS)
Data associated with journal article 'Modelling of H2 production in a packed bed rector via sorption enhanced steam methane reforming process'. S Z Abbas, V Dupont, T Mahmud (2017).

Data derived from UKCCSRC Call 2 Project C2-181. The journal article can be found at https://doi.org/10.1016/j.ijhydene.2017.05.222. The sorption enhanced steam reforming (SE-SMR) of methane over the surface of 18 wt. % Ni/Al2O3 catalyst and using CaO as a CO2-sorbent is simulated for an adiabatic packed bed reactor. The developed model accounts for all the aspects of mass and energy transfer, in both gas and solid phase along the axial direction of the reactor. The process was studied under temperature and pressure conditions used in industrial SMR operations. The simulation results were compared with equilibrium calculations and modelling data from literature. A good agreement was obtained in terms of CH4 conversion, hydrogen yield (wt. % of CH4 feed), purity of H2 and CO2 capture under the different operation conditions such as temperature, pressure, steam to carbon ratio (S/C) and gas mass flux. A pressure of 30 bar, 923 K and S/C of 3 can result in CH4 conversion and H2 purity up to 65% and 85% respectively compared to 24% and 49% in the conventional process.

Tags: Carbon capture and storage, NERC_DDC
Organization: British Geological Survey (BGS)
Calculating concentrations of geochemical tracers for monitoring CO2 stores

This Microsoft Excel document contains 5 worksheets providing data produced by research as part of UKCCSRC Call 1 funded project (grant number UKCCSRC-C1-31) and UKCCSRC funded international exchange. These data are presented and discussed in the manuscript "Geochemical tracers for monitoring offshore CO2 stores" by J. Roberts, S. Gilfillan, L. Stalker, M. Naylor, https://doi.org/10.1016/j.ijggc.2017.07.021. Then data details the assumptions around background concentrations of chemical tracers in the atmosphere and seawater, cost per litre, and how tracer detection concentrations (and so cost and potential environmental impact were calculated).

Tags: Carbon capture and storage, NERC_DDC
Organization: British Geological Survey (BGS)
Data associated with journal article 'Modelling of high purity H2 production via sorption enhanced chemical looping steam reforming of methane in a packed bed reactor'. Syed Zaheer Abbas, Valerie Dupont, Tariq Mahmud (2017)

Data derived from UKCCSRC Call 2 Project C2-181. The journal article can be found at http://dx.doi.org/10.1016/j.fuel.2017.03.072. Sorption enhanced chemical looping steam reforming of methane (SE-CLSR) relies on the exothermicity of both a metal catalyst’s oxidation and the in situ CO2 capture by carbonation onto a solid sorbent to provide the heat demand of hydrogen (H2) production by steam reforming while generating a nearly pure H2 product. A brief thermodynamic analysis to study the main features of the SE-CLSR process is done prior to the reactor modelling work. Later, one dimensional mathematical model of SE-CLSR process in the packed bed configuration is developed using gPROMS model builder 4.1.0 under the adiabatic conditions. This model combines reduction of the NiO catalyst with the steam reforming reactions, followed by the oxidation of the Ni-based reduced catalyst. The individual models of NiO reduction, steam reforming with in situ CO2 capture on Ca-sorbent, and Ni re-oxidation are developed by using kinetic data available in literature and validated against previous published work. The model of SE-CLSR is then applied to simulate 10 alternative cycles of the fuel and air feed in the reactor. The performance of the model is studied in terms of CH4 conversion, CO2 capture efficiency, purity and yield of H2. The sensitivity of the process is studied under the various operating conditions of temperature, pressure, molar steam to carbon ratio (S/C) and mass flux of the gas phase. In this work, the operating conditions used for the production of H2 represent realistic industrial production conditions. The sensitivity analysis demonstrates that the developed model of SE-CLSR process has the flexibility to simulate a wide range of operating conditions of temperature, pressure, S/C and mass flux of the gas phase.

Tags: Carbon capture and storage, NERC_DDC
Organization: British Geological Survey (BGS)
Bulk carbonate stable isotope compositions and foraminifera-based results and relative age model of DSDP Site 401 (NERC grant NE/H017518/1)

Geochemical and isotopic data presented here cover the Paleocene-Eocene Thermal Maximum (~56 Ma ago) and were produced to assess the degree of carbon cycle perturbations, ocean acidification and the origin of the emitted carbon added to the atmosphere-ocean system during this major carbon cycle perturbation event. For further details on the analytical approach please refer to the original publication (Gutjahr et al., 2017, Nature). Data contained within the two tables comprise foraminiferal carbonate based stable boron, carbon and oxygen isotopic results from DSDP Site 401 located within the Bay of Biscaye in the NE Atlantic (Table 1). This table also contains B/Ca, Mg/Ca and Al/Ca data from the same samples. Depth in core is presented alongside two alternative relative age models setting ages in relation to the Carbon Isotope Excursion observed during the Paleocene Eocene Thermal Maximum. Table 2 contains high-resolution bulk carbonate stable carbon and oxygen isotopic results that were produced to establish a new age models for this core.

Tags: Acidification, Carbon cycle, Climate change, Climatology, Eocene, Geochemical data, Isotopes, NERC_DDC, Palaeoenvironment, Paleocene
Organization: British Geological Survey (BGS)
GeoSure shrink swell deposits version 8

This dataset provides an assessment of the potential for a geological deposit to shrink and swell. Many soils contain clay minerals that absorb water when wet (making them swell), and lose water as they dry (making them shrink). This shrink-swell behaviour is controlled by the type and amount of clay in the soil, and by seasonal changes in the soil moisture content (related to rainfall and local drainage). The rock formations most susceptible to shrink-swell behaviour are found mainly in the south-east of Britain. Clay rocks elsewhere in the country are older and have been hardened by burial deep in the earth and are less able to absorb water. The BGS has carried out detailed geotechnical and mineralogical investigations into rock types known to shrink, and are modelling their properties across the near surface. This research underpins guidance contained in the national GeoSure dataset, and is the basis for our responses to local authorities, companies and members of the public who require specific information on the hazard in their areas. The BGS is undertaking a wide-ranging research programme to investigate this phenomenon by identifying those areas most at risk and developing sustainable management solutions. Complete Great Britain national coverage is available. The storage formats of the data are ESRI Shapefiles and MapInfo but other formats can be supplied. The GeoSure data sets and reports from the British Geological Survey provide information about potential ground movement or subsidence in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on BGS DiGMap (Digital Map) and expert knowledge of the behaviour of the formations so defined.

Tags: Clay minerals, Clay soils, NERC_DDC, Natural hazards, Soil water
Organization: British Geological Survey (BGS)
GeoSure running sand deposits version 8

This dataset provides an assessment of the potential for a geological deposit to show running sand behaviour under the action of flowing water, a characteristic usually of saturated sand and silt grade material. Complete Great Britain national coverage is available. The storage formats of the data are ESRI Shapefiles and MapInfo but other formats can be supplied. The GeoSure data sets and reports from the British Geological Survey provide information about potential ground movement or subsidence in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on 'BGS Geology' (Digital Map) and expert knowledge of the behaviour of the formations so defined.

Tags: NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)
GeoSure landslides (slope instability) version 8

This dataset provides an assessment of slope instability. Landslide hazard occurs due to particular slope characteristics (such as geology, gradient, sources of water, drainage, man-made constructions) combining to cause the slope to become unstable. Downslope movement of materials, such as a landslide or rockfall may lead to a loss of support and damage to buildings. Complete Great Britain national coverage is available. The storage formats of the data are ESRI Shapefiles and MapInfo but other formats can be supplied. The GeoSure data sets and reports from the British Geological Survey provide information about potential ground movement or subsidence in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on 'BGS Geology' (Digital Map) and expert knowledge of the behaviour of the formations so defined.

Tags: Landslides, NERC_DDC, Natural hazards, Slope stability
Organization: British Geological Survey (BGS)
GeoSure soluble rocks version 8

This dataset provides an assessment of the potential for dissolution within a geological deposit. Ground dissolution occurs when certain types of rock contain layers of material that may dissolve if they get wet. This can cause underground cavities to develop. These cavities reduce support to the ground above and can lead to a collapse of overlying rocks. Dissolution of soluble rocks produces landforms and features collectively known as 'karst'. Britain has four main types of soluble or 'karstic' rocks; limestone, chalk, gypsum and salt, each with a different character and associated potential hazards. Engineering problems associated with these karstic rocks include subsidence, sinkhole formation, uneven rock-head and reduced rock-mass strength. Sinkhole formation and subsidence has the potential to cause damage to buildings and infrastructure. Complete Great Britain national coverage is available. The storage formats of the data are ESRI Shapefiles and MapInfo but other formats can be supplied. The GeoSure data sets and reports from the British Geological Survey provide information about potential ground movement or subsidence in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on 'BGS Geology' (Digital Map) and expert knowledge of the behaviour of the formations so defined.

Tags: Chalk, Dissolution, Gypsum, Karst, Limestone, NERC_DDC, Natural hazards, Salt, Sinkholes, Subsidence
Organization: British Geological Survey (BGS)
GeoSure collapsible deposits version 8

The Collapsible Ground dataset provides an assessment of the potential for a geological deposit to collapse (to subside rapidly) as a consequence of a metastable microfabric in loessic material. Such metastable material is prone to collapse when it is loaded (as by construction of a building, for example) and then saturated by water (as by rising groundwater, for example). Collapse may cause damage to overlying property. The methodology is based on 'BGS Geology' (Digital Map) and expert knowledge of the origin and behaviour of the formations so defined. It provides complete coverage of Great Britain, subject to revision in line with changes in DiGMapGB lithology codes and methodological improvements. The storage formats of the data are ESRI Shapefiles and MapInfo but other formats can be supplied. The GeoSure datasets and related reports from the British Geological Survey provide information about potential ground movement due to six types of natural geological hazard, in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence.

Tags: NERC_DDC, Natural hazards, Subsidence
Organization: British Geological Survey (BGS)
Property Subsidence Assessment dataset 2025

The BGS PSA dataset provides insurers and homeowners access to a better understanding of the shrink-swell hazard at both the individual property and/or postcode level for Great Britain. It builds upon the GeoSure shrink-swell data by mapping the hazard to the individual building polygon and considering the other susceptibility factors of building type, foundation depth, and drainage and tree proximity. The user receives GIS building polygons with an overall susceptibility to subsidence score between 1-100. Scores are also classified from non-plastic to very high. Each building polygon is also scored from 1-10 for each subsidence factor (geology, foundation, drainage, building type, building storey and tree proximity). Postcode data is also available as a table and shapefiles showing the ‘average’ PSA score for all buildings within the postcode. The identification of shrink-swell related subsidence prone areas, alongside the inclusion of potential sources to exacerbate this phenomena, can better inform insurers and homeowners and form the basis to make decisions concerning prevention and remediation. The product enhances geological information obtained from GIP and GeoSure via the inclusion of the crucial shrink-swell susceptibility factors (proximity to trees and foundation depth). This therefore allows the derivation of a risk element for the housing stock at Building level, which is then generalised to Postcode level.

Tags: Foundations, NERC_DDC, Shrink-swell clays, Subsidence
Organization: British Geological Survey (BGS)
Seismic interpretation of force fold structures from the Glencoe 3D seismic reflection survey, NW Australia

This dataset contains a petrel project and associated horizon grid, surface, and point data interpreted using the Glencoe 3D seismic reflection survey as part of the NERC Pushing the Frontiers MAGMA (Magma Accommodation and Ground Movement Analysis) project led by Dr Craig Magee (c.magee@leeds.ac.uk) between 10/23 to 03/27. Specifically, we use this data to map the top and base reflections of a thick sill and the corresponding top of an overlying forced fold. This data accompanies the published manuscript (see also its supplementary data): Magee, C., Ebmeier, S.K. and Hickey, J., 2026. Testing volcano deformation models against 3D seismic reflection imagery of ancient intrusions. Journal of Geophysical Research: Solid Earth, 131(2), p.e2025JB032007.https://doi.org/10.1029/2025JB032007 The Glencoe 3D seismic reflection survey and associated well data used in this project can be accessed through either through Geoscience Australia (http://www.ga.gov.au/nopims) or the NGDC at: https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html?simpleText=glencoe#item172421, record number 172421

Tags: Laccoliths, NERC_DDC, Seismic reflection surveys, Sills
Organization: British Geological Survey (BGS)
Geophysical monitoring data of the hydro-mechanical-chemical evolution of a synthetic sandstone with carbonate clasts exposed to CO2 during 6-month at reservoir stress conditions

This dataset stores geophysical, transport and chemical data collected during a six-month experiment involving CO2-brine-rock interaction with stress, at reservoir conditions. The rock used for the tests was manufactured in the National Oceanography Centre, Southampton, following the procedure described in Falcon-Suarez et al. (2019). The aim was to study the coupled hydro-mechanical-chemical (HMC) phenomena that occurred in sandstone reservoirs containing carbonates, when interacting with CO2 during Carbon Capture and Storage (CCS) operations. The dataset includes results from two brine-CO2 flow-through tests and three intercalated hydromechanical assessments, where elastic (P- and S-wave velocities and attenuations), transport (bulk electrical resistivity and permeability) and axial strain data were collected and analysed together with basic petrophysical properties. Results from a reactive simulation developed using free-software PHREEQC (Parkhurst and Appelo, 2013) are also included. The tests were conducted in the high-pressure, room-temperature (20 C) experimental setup for multi-flow-through tests in the Rock Physics Laboratory at the National Oceanography Centre, Southampton (NOCS), from 2021 to 2025, as part of the projects GASRIP, EHMPRES and FOCUS (NERC grants NE/X003248/1 - FAPESP-EHMPRES, NE/X006271/1 - FOCUS and NE/R013535/1 - GASRIP). References Falcon-Suarez, I.H., Amalokwu, K., Delgado-Martin, J., Callow, B., Robert, K., North, L., Sahoo, S.K., Best, A.I., 2019. Comparison of stress-dependent geophysical, hydraulic and mechanical properties of synthetic and natural sandstones for reservoir characterization and monitoring studies. Geophysical Prospecting 67, 784-803, https://doi.org/10.1111/1365-2478.12699. Parkhurst, D., Appelo, C.A.J., 2013. Description of input and examples for PHREEQC version 3: A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations, Techniques and Methods, Reston, VA, p. 519. https://pubs.usgs.gov/publication/tm6A43 The spreadsheet file includes six sheets with contain information about (Info) the parameters and acronyms used in the file; (Sample_properties) the rock and fluid properties, including petrophysical properties and fluid composition; (BCFT-1 and BCFT-2) the data collected during the brine-CO2 flow-through tests; (HMA tests) the data collected during the hydromechanical assessments before and after BCFT-1, and after BCFT-2; and (Reactive model) the input and outputs from the reactive model performed using PHREEQC.

Tags: Carbon capture and storage, NERC_DDC, Permeability, Resistivity, Simulation
Organization: British Geological Survey (BGS)