AndreaBozzo/ceres-open-data-index huggingface dataset:
British Geological Survey (BGS) Geophysical and Multibeam Survey 2012/1: Moray Firth (27/Jan/2012 to 08/Feb/2012)

This British Geological Survey (BGS) marine geophysical and multibeam survey took place in January/Febuary 2012 in the area of the Moray Firth on board the RV White Ribbon. The purpose was to enable BGS to reconstruct the glacial history of the areas and place it in the wider context of the dynamics of the British Ice Sheet. Sea floor bathymetry data were collected using a Kongsberg EM3002D multibeam system. Sub bottom seismic profiling data were collected using an Applied Acoustics surface tow boomer (STB). These data are archived by BGS.

Organization: British Geological Survey (BGS)
Geochemical stratigraphic data for phosphatised and unphosphatised samples of Fe-Mn crusts, Tropic Seamount, Northeast Atlantic Ocean (NERC Grant NE/M011151/1)

The data set presents major and trace element geochemical data obtained from ICP-MS measurements on micro-drilled subsamples of ferromanganese (Fe-Mn) crusts from Tropic Seamount, north-east Atlantic Ocean. The data represent detailed stratigraphic analysis of Fe-Mn crust samples 078_019 and 085_004. These samples were collected at 3100 and 1100 meters beneath sea level, respectively, during the JC142 expedition of the RRS James Cook for the MarineE-Tech project in 2016.

Tags: Geochemistry, NERC_DDC, Oceanic crust, Trace elements
Organization: British Geological Survey (BGS)
Processed InSAR images over the volcanoes of the East African Rift (NERC Grant NE/L013649/1)

This data set contains a set of 20,740 unwrapped, geocoded interferograms derived from Sentinel-1 InSAR scenes processed over 63 volcanoes within the East African Rift system. A full description of the dataset is provided in the accompanying READMe file. This data set was first published in Albino, F. & Biggs, J. (2020). Magmatic processes in the east African rift system: Insights from a 2015-2020 Sentinel-1 InSAR survey, Geochemistry, Geophysics, Geosystems.

Tags: Deformation (structural geology), Geodesy, Monitoring, NERC_DDC, Rift faults, Rift valleys, Volcanoes, Volcanology
Organization: British Geological Survey (BGS)
London Gateway Project Geophysics Archive for offshore surveys undertaken in 2002, 2007, 2008 and 2011

These data comprise four phases of geophysical survey carried out in 2002, 2007, 2008 and 2011, covering various areas within the Thames Estuary as part of an overarching archaeological investigation called the London Gateway project (2001-2020) ahead of planned dredging works. 88635_49575_2002 - Area of sidescan sonar data within the Thames Estuary (shell haven) area. The data were acquired in OSGB36 British National Grid coordinates and covers the area: Top Left - 570395.312500 E, 183444.953125 N, Top Right - 604097.250000 E, 183444.953125 N, Bottom Right - 604097.250000 E, 177590.140625 N, Bottom Left - 570395.312500 E, 177590.140625 N. 88635_61207_2007 - Geophysical survey comprising sidescan sonar data acquired over 13 separate wreck sites. Corresponding MBES data were acquired previously in 2005 and are deposited with the UKHO. SSS data comprise a total of 83 .xtf files with 2 channels. Acquired in WGS84 UTMz31N coordinates. 400 KhZ frequency. Range 50 m. Sensor positions rather than ship positions for each line in metadata. Each wreck location is centred on (UTMz31N): Amethyst - 364468 E, 5708659 N; Ancient - 325490 E, 5708230 N; Argus - 359499 E, 5706071 N; Ash - 360905 E, 5706497 N; Atherton - 359708 E, 5706186 N; Dynamo - 401449 E, 5743755 N; EastOaze - 362786 E, 5707385 N; ErnaBoldt - 403551 E, 5746997 N; Letchworth - 357544 E, 5705592 N; London - 343115 E, 5707365 N; Pottery - 346619 E, 5706276 N; SS Storm - 406001 E, 5747115 N; Unknown wreck - 375530 E, 5714052 N. 88635_61208_2008 - Geophysical survey comprising sidescan sonar and multibeam echosounder data over a single wreck site. SSS data comprise a total of 7 .xtf files with 2 channels. 400 KhZ frequency. Range 50 m. Acquired in WGS84 Geographic coordinates. Sensor positions rather than ship positions for each line in metadata. Wreck location in WGS84 UTMz31N: Aisha - 363982 E, 5707656 N. 88635_79800_2011 - Geophysical survey comprising magnetometer, sidescan sonar and multibeam echosounder data undertaken over three separate blocks; Area 9to11, Area 26to36 and Area 105. Area9to11:332980 E, 5708675 N; 332980 E, 5708226 N; 338586 E, 5707813 N; 338681 E, 5708242 N. Area26to36:339693 E, 5708096 N; 339571 E, 5707680 N; 345670 E, 5706229 N; 350490 E, 5706371 N; 350338 E, 5706838 N; 345680 E, 5706685 N. Area105:383734 E, 5719704 N; 384035 E, 5719369 N; 385920 E, 5720804 N; 385619 E, 5721134 N. Where corresponding multibeam echosounder data were acquired, these data have been archived with the United Kingdom Hydrographic Office (UKHO). Overarching full archaeological investigation, including results of the assessment of these data, and technical reports are archived with the Archaeology Data Service (ADS) (https://doi.org/10.5284/1083494).

Tags: Estuaries, Geophysical data, Magnetometers, NERC_DDC, Side scan sonar
Organization: British Geological Survey (BGS)
British Geological Survey (BGS) Multibeam and Sampling Survey 2011/2: Firth of Lorn north (15/Feb/2011 to 05/Mar/2011)

This British Geological Survey (BGS) marine multibeam and sampling survey took place over two separate periods (15-18 February and 24 February - 5 March 2011) in an area at the northern tip of the Firth of Lorne, Oban Bay on board the Northern Lighthouse Board vessel NLV Pole Star. Sea floor data were collected using an EM3002D multibeam system. Sea bed sample data were collected using a shipek grab. These data are archived by BGS. Technical details of the survey are contained in the BGS Report of Survey.

Organization: British Geological Survey (BGS)
Intra-crystalline protein degradation dating of proboscidean enamel from the UK (NERC Grant NE/K500987/1)

The concentration of both L and D amino acid isomers was determined by HPLC (High-performance liquid chromatography) for multiple amino acids. 30 samples of proboscidean enamel were taken from the collections at BGS. Samples of enamel (~30 mg) was removed from the teeth of proboscideans using a small electric drill. All of the samples were from UK sites dating to the Quaternary. These samples were used to build a regional geochronology based on the extent of racemisation of amino acids from the intra-crystalline fraction (Dickinson, 2018). Thesis http://etheses.whiterose.ac.uk/22261. A published paper 'A new method for enamel amino acid racemization dating: A closed system approach' is also available; https://doi.org/10.1016/j.quageo.2018.11.005

Tags: Age determination methods, Geochronology, NERC_DDC, Racemization dating
Organization: British Geological Survey (BGS)
Leading linear growth rates for steady uniform morphodynamic overland flows at different Froude numbers and grain diameters (NERC Grant NE/S00274X/1)

Shallow overland flows in steady state can become unstable and break up into destructive surges. The following data documents maximum growth rates for disturbances to uniform steady flows on a fixed slope in a one-dimensional shallow-layer model that incorporates the mechanics of erosion and deposition of monodisperse sediment, documented in sections 2 and 4 of the following freely available preprint: https://arxiv.org/abs/2007.15989. The data comprises the following 4 columns, separated by spaces: grain diameter, Froude number, solid fraction and maximum growth rate. Grain diameter refers to the characteristic diameter of erodible particles, non-dimensionalised by the steady flow depth h0. Froude number, Fr, is a dimensionless constant defined as Fr = u0 / sqrt(h0 * g'), where u0 is the velocity of the steady flow and g' is gravitational acceleration resolved perpendicular to the slope. Solid fraction is a number between 0 and 1 that describes the proportion of solid particles in the flowing mixture. A solid fraction of 0 denotes a purely fluid flow and a solid fraction of 1 denotes a saturated mixture containing a maximum packing of solid particles. Maximum growth rate refers to the largest linear growth rate for perturbations to a uniform flowing layer with the corresponding properties given in the prior 3 columns. The model formulation describes the dynamics of 4 unknown observables: flow height, flow velocity, solids concentration and bed height. By taking the 'maximum' in this case, we mean the maximum over these 4 flow fields that may be perturbed by an environmental disturbance and also the maximum over all possible wavelengths of disturbance. We note that in this dataset, flows with a maximum growth rate equal to zero or small positive values (e.g. up to machine precision) are stable; flows with strictly positive growth rate are unstable. Zero growth rate indicates that the maximum growth rate is given by a neutrally stable perturbation and such perturbations always exist for reasons of symmetry in the model. For each grain diameter and Froude number in the dataset, there exist two steady uniform states with different solid fractions. Therefore two files are supplied - one containing data for the more dilute states and the other containing data for the more concentrated states. These various technical details, as well as full documentation of the model and the parameters used are explained more fully in the aforementioned paper.

Tags: Fluid dynamics, NERC_DDC
Organization: British Geological Survey (BGS)
GeoSure ground stability data product version 8

BGS GeoSure identifies, at 1:50 000 scale, areas of susceptibility and considers the following specific hazard processes that can occur in Great Britain: 1. Shrink–Swell: Swelling clays change in volume due to changes in water content; this can lead to movements (up or down) in the upper two metres of the ground, which may affect property foundations. 2. Landslides (Slope Instability): Slope instability occurs when particular slope characteristics combine to make the slope unstable. Downslope movement of materials (landslide) may cause damage to foundations, services or impact damage to buildings. 3. Soluble Rocks (Dissolution): Ground dissolution occurs when certain types of rocks, containing layers of soluble material, get wet and the soluble material dissolves. This can cause underground cavities to develop. These cavities reduce support to the ground above and can lead to a collapse of overlying rocks. 4. Compressible Ground: Some types of ground may contain layers of very weak materials such as peat or some types of poorly structured clays. These may compress if loaded by overlying structures, or if the groundwater level changes. This compression may result in depression of the ground surface, potentially disturbing foundations and services. 5. Collapsible Deposits: Some soils may collapse when a load (building or road traffic) is placed on them, especially if they become saturated. Such collapse may cause damage to overlying property or services. 6. Running Sand: Some rocks and soils can contain loosely packed sandy layers that can become fluidised by water flowing through them. Such sands can ‘run’ (flow), potentially removing support from overlying buildings and causing damage.

Tags: Collapsible deposits, Compressible ground, Geohazards, Landslides, NERC_DDC, Natural hazards, Running sands, Shrink-swell clays, Soluble rocks
Organization: British Geological Survey (BGS)
Superficial Aquifer Productivity Scotland version 2

The Superficial Aquifer Productivity Scotland dataset forms part of the BGS Hydrogeological Maps of Scotland data product. This product is comprised of three datasets: Bedrock Aquifer Productivity Scotland; Superficial Aquifer Productivity Scotland; and Groundwater Vulnerability Scotland. Aquifer productivity is a measure of the potential of aquifers to sustain a borehole water supply. The Superficial Aquifer Productivity Scotland dataset version 2 (2015) indicates the location and productivity of superficial aquifers across Scotland, and their groundwater flow characteristics. Developed as a tool to support groundwater resource management, the dataset provides a guide to aquifer characteristics at a regional scale, and may be useful to anyone interested in learning more about, assessing or managing groundwater resources across Scotland. The dataset is delivered at 1: 100 000 scale; the resolution of the dataset being 50 m and the smallest detectable feature 100 m.

Tags: Aquifers, GIS, Groundwater, NERC_DDC, Surficial geology
Organization: British Geological Survey (BGS)
Groundwater Vulnerability Scotland version 2

The Groundwater Vulnerability Scotland dataset forms part of the BGS Hydrogeological Maps of Scotland data product. This product is comprised of three datasets: Bedrock Aquifer Productivity Scotland; Superficial Aquifer Productivity Scotland; and Groundwater Vulnerability Scotland. The Groundwater Vulnerability Scotland dataset version 2 (2015) shows the relative vulnerability of groundwater to contamination across Scotland. Groundwater vulnerability is the tendency and likelihood for general contaminants to move vertically through the unsaturated zone and reach the uppermost water table after introduction at the ground surface. The groundwater vulnerability dataset was developed as a screening tool to support groundwater management at a regional scale across Scotland, and specifically to aid groundwater risk assessment. The data can be used to show the relative threat to groundwater quality from contamination, by highlighting areas at comparatively higher risk of groundwater contamination. The dataset is delivered at 1: 100 000 scale; the resolution of the dataset being 50m and the smallest detectable feature 100 m

Tags: GIS, Groundwater, NERC_DDC
Organization: British Geological Survey (BGS)
Hydrogeological Maps of Scotland version 2

The BGS Hydrogeological Maps of Scotland data product is comprised of three datasets: Bedrock Aquifer Productivity (Scotland); Superficial Aquifer Productivity (Scotland); and Groundwater Vulnerability (Scotland). Aquifer productivity is a measure of the potential of aquifers to sustain a borehole water supply. The Aquifer Productivity (Scotland) datasets indicate the location and productivity of bedrock and superficial aquifers across Scotland, and their groundwater flow characteristics. The Groundwater Vulnerability (Scotland) dataset shows the relative vulnerability of groundwater to contamination across Scotland. The BGS Hydrogeological Maps of Scotland data product is developed as a tool to support groundwater resource management. It may be useful to anyone interested in learning more about, assessing or managing groundwater resources across Scotland. The datasets within the product are delivered at 1: 100 000 scale.

Tags: Aquifers, Bed rock, GIS, Groundwater, NERC_DDC, Surficial geology
Organization: British Geological Survey (BGS)
Bedrock Aquifer Productivity Scotland version 2

The Bedrock Aquifer Productivity Scotland dataset forms part of the BGS Hydrogeological Maps of Scotland data product. This product is comprised of three datasets: Bedrock Aquifer Productivity Scotland; Superficial Aquifer Productivity Scotland; and Groundwater Vulnerability Scotland. Aquifer productivity is a measure of the potential of aquifers to sustain a borehole water supply. The Bedrock Aquifer Productivity Scotland dataset version 2 (2015) indicates the location and productivity of bedrock aquifers across Scotland, and their groundwater flow characteristics. Developed as a tool to support groundwater resource management, the dataset provides a guide to aquifer characteristics at a regional scale, and may be useful to anyone interested in learning more about, assessing or managing groundwater resources across Scotland. The dataset is delivered at 1: 100 000 scale; the resolution of the dataset being 50 m and the smallest detectable feature 100 m.

Tags: Aquifers, Bed rock, GIS, NERC_DDC
Organization: British Geological Survey (BGS)
Initiation files for Fluidity numerical modelling code, used in the paper Suchoy et al., 2020 (NERC Grant NE/K010743/1)

Initiation files for 2D numerical models for Fluidity code. The models simulate subduction of an oceanic plate under various conditions described in Suchoy et al., 2020. The models use temperature, pressure and strain-rate dependent composite rheology, which generates different regions without prescribing material fields. The models are similar in nature to other geodynamic models (e.g. Billen and Arredondo, 2018) and can be used for further investigation of subduction dynamics, and to reproduce the results presented in Suchoy et al., 2020. For further enquiries regarding these models please contact Lior Suchoy (Imperial College London), Saskia Goes (Imperial College London) or Rhodri Davies (Australia National University).

Tags: Mathematical models, NERC_DDC, Subduction, Subduction zones, Tectonics
Organization: British Geological Survey (BGS)
Images for plagioclase grain shape and size (NERC grant NE/N009894/1)

Measurements of the aspect ratio of plagioclase grains in dolerites from sills. Photomicrographs (several per sample across each of the sills, at a magnification such that the long side of the field of view is 4.5mm long) are each accompanied by a drawing showing a pair of lines for each observable grain, giving the long and short axis of the grain intersection as viewed in thin section, together with a drawing showing only the long axes of each grain. A summary file provides the number of grains measured in each sample, together with the average aspect ratio, with 1σ uncertainties calculated using a bootstrap method. The grain size is reported for all grains measurable in the set of photomicrographs (in mm), and is taken as the length of the long axis for each grain intersection in thin section. The average grain size and the skew of the population is also provided. The choice of the area in each thin section to photograph and analyse was random, although any areas of late-stage alteration were avoided. This dataset is useful to anyone seeking to quantify plagioclase grain size in tabular mafic intrusions.

Tags: NERC_DDC
Organization: British Geological Survey (BGS)
Turbulent convective length scale in planetary cores (NERC grant NE/M017893/1)

Data extracted from numerical simulations of rotating Boussinesq convection in spherical geometry and published in Guervilly, Cardin & Schaeffer (2019, https://doi.org/10.1038/s41586-019-1301-5). The simulations were run with Ekman numbers varying between 1e-6 and 1e-11, Rayleigh numbers between 6e7 and 5.25e13 and Prandtl numbers between 0.1 and 0.01. The data include: power spectra of the kinetic energy as a function of the azimuthal wavenumber; Rossby numbers and convective length scale; radial velocity in the equatorial plane for 4 selected simulations at varying Ekman number (Ek=1e-8 to 1e-11).

Tags: Convection, Extraterrestrial geology, NERC_DDC
Organization: British Geological Survey (BGS)
Groundwater recharge in Africa from ground based measurements (NERC Grant NE/L002035/1)

This dataset comprises a map of groundwater recharge for Africa and a database of the 134 observations used to generate the map. The map shows long term average annual groundwater recharge in mm per annum relevant to the period 1970 to 2020. It is in the form of a GIS shapefile and is available as a layer package for ESRI and also as a georeferenced TIFF and BIL file for easy exchange with other software. The database contains 134 sites for which ground based observations for groundwater recharge are available. These 134 sites are from previously published material and have gone through a QA procedure and been accurately geolocated to be included in the dataset. For each record there is a latitude, longitude, recharge estimate, recharge range, time period for the measurement; scale for which the estimate is made, methods used, a confidence rating and reason for this rating, and the reference from where the data originate. In addition, the database includes for each observation information from other continental datasets including: climate data, landcover, aquifer type, soil group and the normalized difference vegetation index (NDVI).

Tags: Climatology, Ground water recharge, Groundwater, NERC_DDC
Organization: British Geological Survey (BGS)
DiGMapPlus Strength

The DiGMap Plus dataset is a series of GIS layers describing the engineering properties of materials from the base of pedological soil down to c. 3m depth (ie the uppermost c.2m of geology). These deposits display a variable degree of weathering, but still exhibit core engineering characteristics relating to their lithologies. The 'Strength' dataset covers England, Scotland and Wales and characterises the material lithology, and its strength (for field description purposes) as outlined in documentation relating to BS5930 (1999 and 2003 and Eurocode7).

Tags: Engineering geology, Geology, NERC_DDC, Rock mechanics, Site investigations, Soil mechanics, Soil physics, Soil properties, Soils
Organization: British Geological Survey (BGS)
BGS Mineral Resources England version 3

This dataset provides digital spatial information on the location of mineral resources in England at a scale of 1:50 000. The term ‘mineral resources’ has a definition under international standards that includes both an economic and geological dimension. These data are based primarily on mapped geology with limited assessment of economics. Therefore, the term ‘mineral resources’ is used here in a broad sense. The dataset allows users to visualise the extent and distribution of mineral resources and to relate them to other forms of land-use (such as urban areas or designated environmentally sensitive areas) or to other factors (such as transport infrastructure and conservation information). The dataset is derived from a set of commissioned projects to prepare a series of mineral resource maps based on counties or amalgamations of counties. Maps for England were commissioned by the central government department with responsibility for mineral planning at the time (Department of the Environment (DoE), Department of the Environment, Transport and the Regions (DETR), Department for Transport, Local Government and the Regions (DTLR), Office of the Deputy Prime Minister (ODPM), and the Department for Communities and Local Government (DCLG) between 1994 and 2006. Each map produced (with an accompanying report describing the mineral resources depicted on the map) is available to download, as a PDF file from the BGS-hosted website: www.MineralsUK.com. During 2011-2012 revisions were made to areas of the resource linework. These changes were made as a result of new research and release of a new version of DiGMap (v5). This work was on an ad hoc basis but affects all resource layers. In 2020 minor revisions to geometry and attributes were made in in response to minor corrections that were required. The paper maps were not re-released with these data updates. The BGS Mineral Resource data does not determine mineral reserves and therefore does not denote potential areas of extraction. Only onshore, mainland mineral resources are included in the dataset. This dataset has been produced by the collation and interpretation of mineral resource data principally held by the British Geological Survey. The mineral resource data presented are based on the best available information, but are not comprehensive and their quality is variable. The dataset should only be used to show a broad distribution of those mineral resources which may be of current or potential economic interest.

Tags: Mineral resource maps, Mineral resources, Minerals, NERC_DDC, Planning
Organization: British Geological Survey (BGS)