AndreaBozzo/ceres-open-data-index huggingface dataset:
Department for Environment, Food and Rural Affairs (DEFRA) MCZ: Chesil Beach and Stennis Ledges: Benthic Sampling and Video survey CBSL_stgn0213: Western Channel & Celtic Sea (23/04/2013 to 12/07/2013)

This Survey records the sampling undertaken by the EA within the Chesil Beach and Stennis Ledges MCZ, to allow adequate verification and characterisation of the surface sediment and benthic communities within the site. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package including raw is also available on request from BGS.

Organization: British Geological Survey (BGS)
Department for Environment, Food and Rural Affairs (DEFRA) MCZ: Swallow Sand: Multibeam, Benthic Sampling and Video survey swsd_cend0812: Southern North Sea (16/05/2012 to 22/05/2012)

Survey at the Swallow Sand rMCZ, occupying stations on the pre-planned survey grid. A total of 104 stations were sampled, 103 by Hamon and 38 by camera sledge. On completion of the sampling grid an additional multibeam (bathymetry and backscatter) survey was undertaken in the western region of the rMCZ to target areas of coarse sediments identified to be present by the ground-truthing survey and the opportunistic multibeam survey. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package including raw is also available on request from BGS.

Organization: British Geological Survey (BGS)
Department for Environment, Food and Rural Affairs (DEFRA) MCZ: Swallow Sand: Multibeam, Benthic Sampling and Video survey SWSD_CEND0514: Southern North Sea (16/03/2014 to 18/03/2014)

Sediment and infaunal community survey of a feature known as 'Swallows Hole', within the Swallow Sand MCZ. MBES (bathymetry and backscatter) data were collected during transits between target stations ensuring coverage across the 'Swallows Hole' area. These data are archived with the Marine Environmental Data and Information Network (MEDIN) Data Archive Centres (DACs) including the British Geological Survey (BGS) DAC for geology and geophysics, The Archive for Marine Species and Habitats Data (DASSH) and the United Kingdom Hydrographic Office (UKHO) bathymetry DAC. The full site data package including raw is also available on request from BGS.

Organization: British Geological Survey (BGS)
River water and suspended sediment chemistry from Nepal (NERC grant NE/N007441/1)

Cation, anion and Sr isotope data from Nepalese river water. Suspended sediment concentration, suspended sediment chemistry presented as wt% oxides from Nepalese rivers. Both the waters and sediments were collected following the 2015 earthquakes.

Tags: Chemical weathering, Chemistry, Earthquakes, Fluvial sediments, Landslides, NERC_DDC, Rivers, Surface waters, Suspended sediments, Water chemistry
Organization: British Geological Survey (BGS)
Hydromechanical and Biogeochemical Processes in Fractured Rock Masses in the Vicinity of a Geological Disposal Facility for Radioactive Waste (NERC grant NE/L000687/1)

Bibliographic Data - Oral and Poster Presentations given by members of Work Package 5 of the HydroFrame (Hydromechanical and Biogeochemical Processes in Fractured Rock Masses in the Vicinity of a Geological Disposal Facility for Radioactive Waste) project. Presentations given between November 2014 and November 2016.

Tags: Biogeochemistry, Colloids, Fractured rock, Hydrodynamics, NERC_DDC, Radioactive wastes, Tracers
Organization: British Geological Survey (BGS)
Database of samples collected from carbonatite-hosted rare earth element (REE) deposits in Finland, China, and Angola (2023-2024)

Database of samples collected or utilised in the project SCREED: Supergene enrichment of carbonatite-hosted REE deposits. Samples were collected from Sokli (Finland), Miaoya (China), and Longonjo (Angola) carbonatite complexes. Archival materials were also collected from the Mushgai Khudug (Mongolia), Tomtor (Russia), and Dong Pao (Vietnam) carbonatite complexes. Samples were collected either as field grab samples, with locations determined by handheld GPS, or from archive drill core provided by Sokli Oy, Finland and Pensana Ltd., Angola. Samples were collected through weathered carbonatite materials into the upper bedrock. Samples from Sokli and Lonjongo specifically targeted REE-enriched, thick (40-100m) lateritic materials from sites undergoing active mineral exploration for supergene REE resources. Samples from Miaoya targeted incipiently weathered materials, including clays from a carbonatite-syenite complex, to characterise early stages of weathering and contrasting weathering styles. Samples from Tomtor and Dong Pao represent REE mineralised material from additional lateritic REE deposits. The samples were acquired by teams from the School of Applied Sciences, University of Brighton and Camborne School of Mines, University of Exeter, with the assistance of staff from Sokli Oy (Finland) and Pensana Ltd. (Angola), and collaborators from the China University of Geosciences and the Institute of Geology, Chinese Academy of Geological Sciences (China).

Tags: Carbonatite, Laterites, NERC_DDC, Rare earth elements, Weathering
Organization: British Geological Survey (BGS)
Compiled geophysical and bulletin data for Fuego volcano, Guatemala, between 2016 and 2018

The submitted dataset comprises two complementary spreadsheets, geophysical data and bulletin reports that together document the four paroxysmal eruptions of Guatemala’s Fuego volcano between 2016 and 2018. Spreadsheet 1. Fuego_2016-18-timeseries-normalized-cycles - A compilation from multiple sources of timeseries data (gas, thermal infrared, seismic) tracing four paroxysmal eruptions of Volcán de Fuego, Guatemala, between 2016 and 2018. Spreadsheet 2. Fuego_2016-18_Catalogue-of-INSIVUMEH-bulletins-four-eruptions - A compilation of bulletin reports from national monitoring agency (INSIVUMEH) for the four eruptions, available in Spanish (original) and English (translated), used to construct timescales of eruptive evolutions for four eruptions of Fuego. This dataset was generated as part of the GCRF-funded project, "Ixchel: Building understanding of the physical, cultural and socio-economic drivers of risk for strengthening resilience in the Guatemalan cordillera". The data appeared as Supplementary Material (SM-2) to the publication, "Transitions: comparing timescales of eruption and evacuation at Volcán de Fuego (Guatemala) to understand relationships between hazard evolution and responsive action" https://doi.org/10.1186/s13617-023-00139-0

Tags: NERC_DDC, Seismic data, Time series data, Volcanoes
Organization: British Geological Survey (BGS)
Preliminary timeline of events surrounding relocation of the town of El Viejo Palmar, Retalhuleu, Guatemala

Spreadsheet containing preliminary timeline of the events occurring across the 1980s and 1990s when a series of lahars slowly destroyed the community of El Viejo Palmar, Retalhuleu. Events include both socio-political events occurring in Guatemala in the 18th and 19th centuries and the lahars that descended from Volcán Santiaguito/Santa Maria during the 1980s and 1990s. These lahars increasingly affected the community and ultimately provoked the relocation of its people to El Nuevo Palmar. This preliminary timeline was created as part of Work Package 2.1 of the GCRF-funded project, "Ixchel: Building understanding of the physical, cultural and socio-economic drivers of risk for strengthening resilience in the Guatemalan cordillera" This work package was dedicated to 3 case studies of communities across the Guatemalan cordillera affected by geophysical hazards whose impacts were compounded by socio-economic and political factors: Lahars affecting El Viejo Palmar (Retalhuleu), mudflows over Panabaj (2005), and eruption of Volcán de Fuego (2018).

Tags: NERC_DDC, Volcanoes
Organization: British Geological Survey (BGS)
Preliminary timeline of events surrounding the 5th October 2005 Volcán Tolimán debris flows affecting Panabaj, Sololá, Guatemala

A preliminary timeline of the events before, during, and after the disaster that occurred 5th October 2005 when a mudslide from Volcán Tolimán devastated the town of Panabaj, Sololá. This preliminary timeline was created as part of Work Package 2.1 of the GCRF-funded project, "Ixchel: Building understanding of the physical, cultural and socio-economic drivers of risk for strengthening resilience in the Guatemalan cordillera". This work package was dedicated to 3 case studies of communities across the Guatemalan cordillera affected by geophysical hazards whose impacts were compounded by socio-economic and political factors: Lahars affecting El Viejo Palmar (Retalhuleu), mudflows over Panabaj (2005), and eruption of Volcán de Fuego (2018).

Tags: Landslides, NERC_DDC
Organization: British Geological Survey (BGS)
COG3: The geology, geometallurgy and geomicrobiology of cobalt resources leading to new product streams (NERC grant NE/M011518/1)

Sample list and experimental conditions. Ilumina Mi Sequencing OTU results for samples from Acoje Nickel Laterite, Philippines and Shevchenko, Ukraine. Illumina Mi Sequencing Results from Acoje, Philippines and Shevchenko Ukraine. These data are from a proof of concept study examining the bioextraction of cobalt and nickel from laterites stored at the Natural history Museum. The data here represent the sequencing of the microbial populations in the laterite samples from Acoje, Philippines, and Shevchenko, Ukraine.

Tags: Cobalt, Geology, Geomicrobiology, Laterites, Metallurgy, NERC_DDC, Nickel
Organization: British Geological Survey (BGS)
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme Backscatter and Sampling Data: HI1794 Northwest Approaches to Liverpool Bay B

Acoustic Backscatter mosaics, H575 Seabed samples, Images and Natural Feature Shapefiles. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office. MBES - Kongsberg EM 2040.

Organization: British Geological Survey (BGS)
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme Backscatter and Sampling Data: HI1786 Saint Kilda

Acoustic Backscatter mosaics, H575 Seabed samples, Images and Natural Feature Shapefiles. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office. Vessels - MV Northern Breeze, MV Northern Gale, MV Northern Remote. MBES - Norbit iWBMS. Kongsberg EM2040D.

Organization: British Geological Survey (BGS)
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme Backscatter and Sampling Data: HI1891 Central Pentland Firth

Acoustic Backscatter mosaics, H575 Seabed samples, Images and Natural Feature Shapefiles. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office. MBES models: Norbit iWBMS, Kongsberg EM2040D, Kongsberg EM2042. Vessels: MV Lode, MV Northern Storm, MV Northern Breeze, Northern Remote.

Organization: British Geological Survey (BGS)
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme Backscatter Data: HI1868 Needles Channel

Acoustic backscatter mosaics, natural feature shapefiles.Collected as part of acoustic multibeam survey HI1868. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office. Vessels - Northern Gale, Northern Remote. MBES - Kongsberg EM2040D, Norbit iWBMS.

Organization: British Geological Survey (BGS)
Maritime and Coastguard Agency (MCA) Civil Hydrography Programme Backscatter and Sampling Data: HI1798 Dogger Bank North Central East

Acoustic Backscatter mosaics, H575 Seabed samples, Images and Natural Feature Shapefiles. Collected as part of the Civil Hydrography Programme (CHP). Data and records verified by UK Hydrographic Office. MBES - Kongsberg EM 2040.

Organization: British Geological Survey (BGS)
X-ray diffraction data on Fe-alloys collected at PETRA III in 2022

his dataset contains the raw X-Ray diffraction (XRD) data for Fe-alloys samples, which were collected as part of beametime at the P02.2. synchrotron beamline of PETRA III in 2022. PETRA III is a high brilliance 3rd Generation Synchrotron Radiation Source at Deutsches Elektronen-Synchrotron (DESY) research centre in Hamburg, Germany. The data was collected to identify the crystal structure of the samples and the pressure dependence of unit-cell volume. The data were collected by Tetsuya Komabayashi, Emiko Sugimura-Komabayashi, Damien Freitas, Mark Robertson (University of Edinburgh) who retain the original data. These are raw data which support the manuscript Sulfur-bearing hcp iron for Earth’s inner core. The XRD image files (.tiff) can be opened with a software such as Dioptas (https://www.clemensprescher.com/programs/dioptas) and FIT2D (https://www.esrf.fr/computing/scientific/FIT2D/).

Tags: Earth core, Mineral physics, NERC_DDC, X ray diffraction
Organization: British Geological Survey (BGS)
UK in-situ stress field orientation from borehole breakouts and drilling induced tensile fractures identified using borehole imaging

This datasets contains 323 observations of borehole breakouts across and drilling induced tensile fractures from borehole imaging used to re-characterise the UK stress field orientation in 2016. This was published in the Journal of Marine and Petroleum Geology and is openly available using doi:10.1016/j.marpetgeo.2016.02.012 The observations relate to 39 wells from Central England, Northern England and Northern Scotland and are provided with links to screen grabs of the images for clarity. The basic well metadata is supplied along with a description of the dataset. The Images were generated in the IMAGE DISPLAY module of the Landmark RECALL software and are supplied on an “as shown” basis. Descriptions of the tools and the techniques used are listed in the accompanying paper: KINGDON, A., FELLGETT, M. W. & WILLIAMS, J. D. O. 2016. Use of borehole imaging to improve understanding of the in-situ stress orientation of Central and Northern England and its implications for unconventional hydrocarbon resources. Marine and Petroleum Geology, 73, 1-20.

Tags: Borehole imaging, Boreholes, Drilling, Fractured rock, NERC_DDC, Stress field, Tensile strength
Organization: British Geological Survey (BGS)
Experimental melt data (NERC grant NE/J019372/2)

Major and trace element data for partial melts derived from high pressure-temperature experiments on a basaltic starting composition from the Ontong Java Oceanic Plateau.

Tags: Basalt, Lavas, Major element analysis, Melts, NERC_DDC, Oceanic plateaus, Trace analysis, Whole rock analysis
Organization: British Geological Survey (BGS)
GeoChemFoam files for tracer transport simulation on a low-resolution CT image of reaggregated Oxford Clay

The simulation models tracer being injected at the inlet of a reaggregated pressed column of Oxford Clay, based on a pressure drop across the length of the column. The Oxford Clay sample used was a "Rockfall sample" collected from the Must Farm quarry in October 2023, UK Grid reference location is Easting 523647 and Northing 296788. Foil wrapping was used as a preservation method. The upload contains: > A zip file containing bash script files and the CT image in ".raw" format on which the simulation is performed, > An HDF5 file containing the results for velocity U, porosity field eps and tracer concentration T for 0, 0.2, 0.4, 0.6, 0.8 and 1 pore-volumes injected. In order to run these case files you will need to download and install GeoChemFoam. The GeoChemFoam software is available open-source and can be downloaded (for free) directly from its GitHub page which also contains tutorials and example cases: https://github.com/GeoChemFoam The './runAll.sh' script will run the entire workflow (i.e. generate the mesh from the CT image, solve for flow, compute porosity and permeability, and then solve for transport) to generate the data contained in the .hdf5 file. GeoChemFoam is an open-source code based on the OpenFoam CFD toolbox, and is under active development at the Institute of GeoEnergy Engineering, Heriot-Watt University, https://github.com/GeoChemFoam The overarching goal of the code is to simulate reactive transport in porous media applications at the pore-scale. The data in this deposit was generated as part of the GeoSafe project. The aim of the GeoSafe project is to undertake fundamental research that will advance our understanding related to hosting a Geological Disposal Facility (GDF) for radioactive waste within Lower Strength Sedimentary Rock formations in the UK. The project is focussed on 3 challenge areas, namely, i) geological isolation, ii) contaminant pathways, and iii) mathematical modelling. This dataset is related to pore-scale modelling in Lower Strength Sedimentary Rocks (LSSRs) targeted by GeoSafe, in particular, the Oxford Clay. Pore-scale simulations are performed using experimental parameters (e.g. flowrate, duration) and upscaling parameters (e.g. permeability, dispersivity, reaction constants) can be extracted from the pore-scale models which will input into reactive transport modelling at the larger-scale.

Tags: NERC_DDC, Simulation
Organization: British Geological Survey (BGS)
Soluble rocks dataset (5km Hex-Grid) version 7

The 5km Hex GS Soluble Rocks dataset shows a generalised view of the GeoSure Soluble Rocks v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The Soluble Rocks methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. 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.

Tags: Dissolution, Geohazards, NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)
Shrink swell dataset (5km Hex-Grid) version 7

The 5km Hex GS Shrink Swell dataset shows a generalised view of the GeoSure Shrink Swell v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The Shrink Swell methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. 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.

Tags: Geohazards, NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)
Running sand dataset (5km Hex-Grid) version 7

The 5km Hex GS Running Sand dataset shows a generalised view of the GeoSure Running Sand v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The Running Sand methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. 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.

Tags: Geohazards, NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)