AndreaBozzo/ceres-open-data-index huggingface dataset:
Leeds dynamo simulations for the analysis of rapid changes in the geomagnetic field (NERC Grant NE/V009052/1)

Leeds dynamo simulations for the analysis of rapid changes in the geomagnetic field. In each folder, the following file can be found: - state.cdf.in - the configuration file used as an intial condition to launch each simulation Some folders have multiple state.cdf.in files for each run of the same simulation, if only part of the data was needed to be reproduced. Additionally, most folders contain: - LSD.info/main.info - Contains details of the parameters for each simulation, which can be used for reference when recompiling the code - LSD.out/main.out - the exectuable used to submit a simulation to a hpc; for the code to be reran, this would have to be recompiled (see Leeds_Dynamo_Code_Manual.pdf) - run.bolt/run.sh - the scripts used to submit a simulation to the leeds hpc (.sh file) or archer2 (.bolt file) Details of how to run the Leeds dynamo code can be found in Leeds_Dynamo_Code_Manual.pdf, which contains a more in-depth description of input parameters, boundary conditions, output data etc. The parameters for each simulation can also be found in the spreadsheet 'SimulationsLog'. More details about the difference between thermally-driven and thermochemically-driven cases can be found in Nakagawa and Davies, 2022. Note all simulations have Prandtl number Pr=1. We have ran a series of simulations to help us elucidate the origin of rapid changes in the Earth's magnetic field. Observational models of the magnetic field have found changes in field intensity and direction that significantly faster than the values and averages for the modern field. The simulations provided here have been analysed to find the features that best reproduce dynamical and morphological agreement with the observed field, as well as to find rapid changes in the simulated field that are in agreement with that of the observed field (see Nakagawa and Davies 2022). Simulations have been ran using the Leeds Dynamo Code, and the configuration files provided here allow users to reproduce and interpret the data used for analysis.

Tags: Geomagnetic fields, Geophysics, NERC_DDC, Tectonics
Organization: British Geological Survey (BGS)
Molecular dynamic simulations of supercooled liquid iron alloys at Earth’s core conditions (NERC Grant NE/T000228/1)

Ab initio and classical molecular dynamic simulations of supercooled liquid iron alloys at conditions of Earth’s core. This dataset includes molecular dynamic data of supercooled liquid iron at high temperature and pressure used to describe the phenomenon of liquid to solid nucleation. All outputs are in text form and either represent the time taken for a simulation to freeze spontaneously, or the size-frequency distribution of solid-like clusters of atoms withing supercooled liquids. In limited cases, the complete outputs and inputs are included. Due to the large volume that these occupy, most outputs are simply the histograms of size-frequency and the scripts used to perform the calculations. Large numbers of these molecular dynamic simulations were performed at each target temperature and volume (to achieve constant pressure) with the only difference being the initial trajectories of atoms. Also included are the ab initio molecular dynamic simulations used to train the embedded atom models which define the behaviour of the classical simulations. These are only included for FeSi, FeS and FeC alloys because Fe and FeO are borrowed from the studies Alfè et al., 2002 and Davies et al., 2021. This is described in Wilson et al., 2023. This data covers the conditions at the centre of the Earth for a range of supercooled temperatures. Volumes vary to maintain 360 GPa whilst temperatures range from 3800 K to 6000 K. Compositions between 100% Fe, 3% S, Si and C, and 10% O are explored. Higher concentrations of S, Si and C are not explored due to instability of the defining embedded atom models. Simulations were conducted using the VASP (Kresse and Hafner, 1993) and LAMMPS (Thompson et al., 2022) packages, using the ARCHER2 HPC system. Simulations were carried out between June 2020 and February 2023. This data was collected to understand the process of nucleation within the Earth’s liquid core, in hopes of resolving the Inner Core Nucleation Paradox. Those interested in the process of nucleation and sub-critical nuclei will find the data particularly relevant. This data was collected by Alfred Wilson-Spencer, Monica Pozzo, Dario Alfè and Chris Davies of the University of Leeds and University College London. This was a part of the NERC grant Resolving the Inner Core Nucleation Paradox (NE/T000228/1).

Tags: Mineral physics, Models, NERC_DDC
Organization: British Geological Survey (BGS)
Coiling direction data for Neogloboquadrina atlantica (foraminifera) from IODP Expedition 395C/ 395 sites North Atlantic (NERC Grant NE/Y001745/1)

Data consists of counts of left and right-coiling specimens of the planktonic foraminifer Neogloboquadrina atlantica from sub-seafloor core samples obtained by the International Ocean Discovery Program (IODP) during Expeditions 395C (5 June - 6 August 2021) and 395 (12 June - 12 August 2023) North Atlantic.

Tags: NERC_DDC, Planktonic foraminifera
Organization: British Geological Survey (BGS)
Major and trace element data for plagioclase and whole-rock samples from Japan, sampled from the GEOROC online database (NERC Grant NE/P017452/1)

Major and trace element data for plagioclase and whole-rocks from Japan sampled and filtered from the GEOROC online database (http://georoc.mpch-mainz.gwdg.de/georoc, state: 1 January 2017). The data was used to test the recently developed plagioclase porphyry indictor mineral, as described in Williamson et al. (2016, Nature Geoscience, 9: 237-241), on samples from Japan. Japan is considered a negative control as it has no known porphyry deposits, despite showing favourable geology. The data was used in Williamson B.J., Hodgkinson M., Imai A., Takahashi R., Armstrong R.N., Herrington, R.J., 2018. Testing the Plagioclase Discriminator on the GEOROC Database to Identify Porphyry-Fertile Magmatic Systems in Japan, Resource Geology, 68: 138-143.

Tags: NERC_DDC, Plagioclase, Porphyry mineral deposits, Whole rock analysis
Organization: British Geological Survey (BGS)
Geophysical Data, Skeiðarársandur, Iceland 2022 (NERC Grant NE/X002020/1)

Three datasets, ground-penetrating radar, side-scan sonar and sub-bottom profile data (CHIRP), were collected in April and June 2022 from the proximal Skeiðarársandur area (~63.9 N, 17.2 E) and Skeiðarársandur coastline (63.7 N, 17.5 E) that lie at the mouth of Gígjukvísl. Ground-penetrating radar (GPR) data acquired for this project on 15th and 18th April 2022 provide new insights into the sediment architecture of differing depositional environments at Skeiðarársandur, southeast Iceland, including: (i) a recently emplaced jökulhlaup deposit in a large ice-proximal depression, and (ii) the coastal environment of a vast glaciofluvial braidplain. Radar data collected in the ice-proximal depression utilised a 250 MHz Utsi GroundVue (GV) 3, a shielded single-channel bistatic radar system suited to near surface (0-10 m depth). Approximately 30 km of 250 MHz GPR data were collected parallel and perpendicular to the jökulhlaup flow direction. The GPR data from the coastal regions of Skeiðarársandur were collected using a 100 MHz Utsi GV7. The 100 MHz Utsi GV7 is a ruggedised and unshielded radar system with a centre-frequency of 100 MHz and an emitted bandwidth of ~1-160 MHz. The radar system has a maximum time-window of 800 ns and each stacked radar trace is comprised of 256 samples (i.e. one sample every 3.125 ns). Approximately 12 km of 100 MHz radar data were collected at the Skeiðarársandur coastline. File format for the raw data includes .dat, .gps, .gpt and .hdr. Positional (Lat, Lon) data were acquired using a handheld GPS connected via USB to the ruggedised laptop (100 MHz Utsi GV7) or connected directly to GPR control unit (250 MHz Utsi GV3). All GPS data were recorded directly in the Utsi GroundVue software by logging an NMEA string concurrent with radar trace samples (i.e. an XY position for each individual sampled radar trace). Side scan sonar, CHIRP and single-beam echosounding data were collected within a large proglacial lake fronting Skeiðarárjökull (63.5 N, 16.3 W) between 11th to 24th June. Side scan data was acquired using an AquaScan Precision Side Scan Sonar System. During surveys the tow fish was lowered to a constant relative position and depth below the boat hull. This data provides an imaging of the lakebed which is used for qualitative description of lakebed features (filed are .xtf). A hull mounted Sonarmite BTX single-beam echosounder was used to provide depth control which was linked via Bluetooth a hull mounted Leica GS14 (.txt files). Sub bottom data was acquired using Bathy 2010PC CHIRP Sub Bottom Profiler operating at dual frequency (3.5KHz and 10.0KHz). This was towed alongside the boat and used to constrain lakebed depth as well as buried sediment architecture. Ping rate varied based on depth of returns. Raw data was collected at .seg files. All lake survey data is georeferenced using GNSS data from boat mounted Leica GS14 receiving real-time corrections from a base station over a known location.

Tags: Echosounder, Geophysics, Ground penetrating radar, NERC_DDC, Side scan sonar
Organization: British Geological Survey (BGS)
Geodetic Survey Data, Skeiðarársandur, Iceland 2022 (NERC Grant NE/X002020/1)

A geodetic survey was used to provide ground control points for the structure from motion surveys. Black and white checked mats placed on the ground were used for the ground control points and these are visible in the structure from motion imagery. Ground control points were collected from the proximal Skeiðarársandur area (~63.9 N, 17.2 E) on the 15th to 17th April and 19th April 2022. Ground control points were collected at the Skeiðarársandur coastline (63.7 N, 17.5 E) that lie at the mouth of Gígjukvísl on 18th April 2022. In total 46 ground control points were collected providing the latitude and longitude (WGS84) of each point. The GNSS (Global Navigation Satellite System) data were collected using a Leica GS14 rover and base station. The rover was placed on an antenna . Antenna height was measured for each survey. The Antenna height for the rovers on 15th April-17th April, 18th April part 2 and 19th April were 2 m. The antenna height on 18th April part 1 was 0.00m. Latitude, longitude (WGS84) and elevation data was collected at each ground control point. This data was used to provide spatial control for the structure from motion survey. GNSS data was also collected during the geophysical surveys that were carried out in 11-24th June 2022. These surveys included the side-scan sonar and CHIRP data collected in a proglacial lake fronting Skeiðarárjökull and used to georeferenced the survey data. The base station data and rover data was post-processed against a permanent GNSS station located at Fagurhólsmýri (63° 52' 28.84" N 16° 39' 11.87" W) maintained by the IMO. Corrected data is used to update and shift RTK GNSS observations. This data was collected by staff at Newcastle University in the School of Geography, Politics and Sociology. File format of raw data is M00 the processed data is in a text document, as pdf and ascii files.

Tags: Geodetic surveys, NERC_DDC
Organization: British Geological Survey (BGS)
The amino acid composition of 39 coral skeleton samples from massive Porites spp. corals of different genotype cultured under varying seawater pCO2 and temperature.

Amino acid compositions of coral skeletons from 4 massive Porites spp. genotypes (G4, G5, G6, G7) cultured in an aquarium at seawater pCO2 of 180, 260, 400 and 750 µatm and at seawater temperature of 25 and 28°C. Protein was extracted from the skeletal samples and hydrolysed to individual amino acids. Data were collected to determine how environmental conditions influence coral skeletal biomolecules. Data were collected between August 2020 and December 2022 by Celeste Kellock, Cristina Castillo Alvarez, David Evans and Nicola Allison and interpreted by Celeste Kellock, Cristina Castillo Alvarez, David Evans, Nicola Allison, Adrian Finch, Kirsty Penkman, Roland Kröger, and Matthieu Clog.

Tags: Coral, NERC_DDC, Sea water, Temperature
Organization: British Geological Survey (BGS)
Major and trace element composition of whole-rock samples from breccias around Mauze and Nkalonje (NERC Grant NE/R013403/1)

The breccia units at the Songwe Hill / Mauze complex are located at, or close to, the contact between nepheline syenite and the surrounding country rock. They are small, the largest comprising an area no more than ~125 × 125 m, and occur at the top of small hills abutting the larger, steeper, Mauze mountain. Owing to sparse outcrop, many of the available samples are float. On the weathered surface, the rocks are buff-pink in colour, with local black Mn-oxide staining. Most samples are heavily altered and composed predominantly of clay minerals, after K-feldspar, and Fe- and Mn-oxide phases. Geological Magazine (2021) 158 (11): 2025-2041. https://doi.org/10.1017/S0016756821000601

Tags: Breccia, NERC_DDC
Organization: British Geological Survey (BGS)
Ostracod assemblage data from Wallywash Great Pond, Jamaica (NERC Grant NE/K00610X/1)

Ostracod species assemblages from Core WAGP taken from Wallywash Great Pond, Jamaica. Values are numbers of valves per gram of dry sediment and are presented by depth in core. A chronology for the core is also provided by radiocarbon dates and short-lived radio-isotopes. The data provide a proxy for changing hydroclimate, lake-level and carbon cycling in the lake and its catchment for the period 2000 – 200 CE

Tags: NERC_DDC, Ostracoda, Palaeoclimatology
Organization: British Geological Survey (BGS)
Field Photographs from slag banks (Warton, Glengarnock, Derwent Howe, Harrington) in Scotland and northwest England (2022-2023) (NERC Grant NE/X009718/1)

This dataset contains folders of field photographs. Photographs were collected from 4 different field locations - Warton, Glengarnock, Derwent Howe, Harrington. There is a folder for each location, and within each of those there are folders labelled by whether they are contextual, or of samples. The data was collected between 2021 and 2023. The data was collected for the purpose of documenting the appearance and characteristics of samples collected. The data was collected by John MacDonald and Robin Hilderman (University of Glasgow) who retain the original data.

Tags: NERC_DDC, Photography
Organization: British Geological Survey (BGS)
X-Ray Diffraction Data showing mineralogy of samples collected from slag banks (Warton, Glengarnock, Derwent Howe, Harrington) in Scotland and northwest England (2022-2023) (NERC Grant NE/X009718/1)

This dataset contains the raw data from X-Ray Diffraction (XRD) analysis of samples from 4 different field locations - Warton, Glengarnock, Derwent Howe, Harrington. The data was collected in 2022-2023. The data was collected for the purpose of identifying mineralogy of the collected samples. The data was collected by John MacDonald and Robin Hilderman (University of Glasgow) who retain the original data.

Tags: Lithification, NERC_DDC, X ray diffraction
Organization: British Geological Survey (BGS)
Thermogravimetric Analaysis (TGA) Data of samples from slag banks (Warton, Derwent Howe, Harrington) in Scotland and northwest England (2022-2023) (NERC Grant NE/X009718/1)

This dataset contains the raw data from Thermogravimetric Analaysis (TGA) of samples from 3 different field locations - Warton, Derwent Howe, Harrington. The data was collected in 2022-2023. The data was collected for the purpose of identifying the volume of different carbon-bearing materials (specifically carbonate minerals) in the collected samples. The data was collected by John MacDonald and Robin Hilderman (University of Glasgow) who retain the original data.

Tags: NERC_DDC, Thermogravimetric analysis
Organization: British Geological Survey (BGS)
Carbon and oxygen stable isotope data (d13C and d18O) of calcite in samples from slag banks (Warton, Glengarnock) in Scotland and northwest England (2022-2023) (NERC Grant NE/X009718/1)

This dataset contains the raw and processed data from carbon and oxygen stable isotope analysis of calcite in samples from 2 different field locations - Warton and Glengarnock. The data was collected in 2022-2023. The data was collected for the purpose of identifying whether the carbonate minerals in the collected samples contained atmospheric carbon dioxide. The data was collected by John MacDonald and Charlotte Slaymark (University of Glasgow) who retain the original data.

Tags: NERC_DDC, Stable isotopes
Organization: British Geological Survey (BGS)
Department for Environment, Food and Rural Affairs (DEFRA) MCZ: Farnes East: Benthic sampling and Video Survey FRNE_cend0514: Southern North Sea (13/03/2014 to 31/03/2014)

Drop camera survey collecting seabed images and sediment samples from three specified locations from within the East Farnes recomended Marine Conservation Zone (rMCZ) to client's specfications, namely Joint Nature Conservation Committee (JNCC), specifically to verify the presence of circalittoral rock and peat. Sampling equipment: Drop Camera; Hamon Grab. 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)
Digitised magnetogram data from the Carrington storm 25th August to 5th September 1859 recorded at Greenwich and Kew Gardens (NERC Grant NE/V002694/1)

This dataset is the most complete digitised magnetic records (as of Nov 2023) of the ten-day period from 25th August to 5th September 1859 encompassing the Carrington storm and its lesser recognised precursor on the 28th August. Based on digital images of the magnetograms from the BGS online archive collection and information from the observatory yearbooks and scientific papers, it is possible to scale the measurements to SI units (degrees of angle and nanoTesla) and extract quasi-minute cadence spot values. The contents of the zip file are various data in ASCII text files plus a readme and example code for plotting the data file; • README.txt - small text file • plot_Carrington1859_paper_plots_with_correlation.py - example code in Python3.7 to create plots • bartels : folder containing digitised KEW data from Bartels (1937) paper • hdz : folder containing extracted KEW and GRW data in single files with time, Horizontal (H), Declination (D) and Vertical (Z) magnetic field components • IAGA2002 : folder with KEW and GRW data in IAGA-2002 formatted files with standard headers • spot_values : GRW spot values taken from the 1859 yearbook tables in csv and txt files

Tags: Magnetic disturbances, Magnetometers, NERC_DDC
Organization: British Geological Survey (BGS)
newGeoSure Insurance Product version 7 2015.3

**This dataset has been superseded** The newGeoSure Insurance Product (newGIP) provides the potential insurance risk due to natural ground movement. It incorporates the combined effects of the 6 GeoSure hazards on (low-rise) buildings: landslides, shrink-swell clays, soluble rocks, running sands, compressible ground and collapsible deposits. The newGIP evaluates these hazards using a series of processes including statistical analyses and expert elicitation techniques to create a derived product that can be used for insurance purposes such as identifying and estimating risk and susceptibility. The newGIP is made up of 3 components. 1. Derived Postcode Database (DPD): this dataset contains generalised information at a postcode level and it’s updated on a 6 monthly basis. The DPD is designed to provide a ‘summary’ value representing the combined effects of the GeoSure dataset across a postcode sector area. This product uses Code-Point® Open data to relate postcodes to Ordnance Survey grid references. This dataset is available in a range of GIS formats including Access (*.dbf), ArcGIS (*.shp) or MapInfo (*.tab). 2. Unified Hazards (Vector Dataset): This is a detailed vector dataset providing spatial GIS information that can be used for more specific analysis at a higher resolution (e.g. site/address specific at 1:50k resolution). This dataset also has additional attributes outlining the type and scale of the potential hazards at any one location. This dataset is updated with the release of each version of DiGMapGB-50 and is available in a range of GIS formats including ArcGIS (*.shp) or MapInfo (*.tab). 3. Unified Hazards (Gridded Dataset): This dataset consists of a raster grid derived from the vector dataset; however, due to the raster grid format, the grid only carries limited attribution. Data for the newGIP is provided for national coverage across Great Britain. The newGeoSure Insurance Product dataset is produced for use at 1:50 000 scale providing 50 m ground resolution.

Tags: Insurance, NERC_DDC, Natural hazards, Risk analysis, Risk management
Organization: British Geological Survey (BGS)
UKGEOS Glasgow groundwater and surface water chemistry dataset release (2020-2021) version 2

The data release includes surface and groundwater chemistry data from 86 samples (20 surface water, 60 ground water, and 6 ground water duplicates) collected during the baseline water monitoring at the UK Geoenergy Observatories (UKGEOS) Glasgow facility. This release from the British Geological Survey (BGS) covers surface and groundwater samples collected between 14 September 2020 and 20 May 2021 from 6 surface water sites, 5 mine water boreholes, and 5 environmental monitoring boreholes. The samples were then analysed for the concentrations of selected parameters at BGS and other laboratories. It contains a report and 2 data sheets GroundWaterChemData1 and SurfaceWaterChemData2. Version 2 06/09/2023 - Edits made to create consistency with subsequent data release, field included erroneously, removed.

Tags: Boreholes, Chemical analysis, Geochemistry, Groundwater, NERC_DDC, Surface waters, Water chemistry
Organization: British Geological Survey (BGS)