AndreaBozzo/ceres-open-data-index huggingface dataset:
Data associated with 'Rapid trans-crustal magma movement under Iceland' by Mutch et al. (2019) (NERC grant NE/L002507/1)

Primary data, model initial conditions, model results, a compiled database of olivine diffusivity experiments and supplementary tables used in the paper: 'Mutch, E. J. F., Maclennan J., Shorttle, O., Edmonds, M. & Rudge, J. F., (2019), Rapid trans-crustal magma movement under Iceland, Nature Geoscience'. Data_S1 contains electron probe microanalysis (EPMA) profile data of olivine crystals used in this study. This file also includes all of the initial conditions for forsterite content (XFo), Ni and Mn used in the diffusion modelling. Standard deviations are averaged values of standard deviations from counting statistics and repeat measurements of secondary standards. Data_S2 is a compiled database of olivine diffusion experiments used to derive multiple linear regressions for diffusion coefficients and associated covariance matrices. Regressions were only made through [001] data. Data_S3 contains median values for all of the inverted parameters estimated for each crystal profile from the Nested Sampling Bayesian inversion for each type of initial condition and model equation. All of the Monte Carlo realisations for each model are also included in this file. Table_S1 is a supplementary table that contains olivine diffusion equation regression parameters derived and used as part of this study. Table_S2 is a supplementary table that contains covariance matrices for olivine diffusion equations derived in this study. Table_S3 is a supplementary table that contains covariance matrices for aSiO2 (silica activity) dependent olivine diffusion equations derived in this study. Table_S4 is a supplementary table that contains angles between the EPMA profile and the main crystallographic axes in olivine as measured by EBSD. These angles are incorporated into the anisotropy calculation used to determine the apparent diffusivity parallel to the measured profile. angle100P, angle010P and angle001P are the angles between the profile and [100], [010] and [001] respectively. Table_S5 is a supplementary table that contains ,median timescales and 1 sigma errors obtained from the posterior distributions of the Nested Sampling Bayesian inversion conducted on each olivine profile. The results using Al-based initial conditions, constant initial conditions (diffusion only), and aSiO2 based equations using Al-based initial conditions are presented here. The classification of each profile (growth-dominated vs. Al-decoupled) is also shown. See paper (Mutch, E. J. F., Maclennan J., Shorttle, O., Edmonds, M. & Rudge, J. F., (2019), Rapid trans-crustal magma movement under Iceland, Nature Geoscience) for more details.

Tags: Basalt, Diffusion, Earth crust, Fissure eruption, Geochemistry, Geology, Igneous petrology, Lavas, Magma, Major element analysis, Microanalysis, Moho, NERC_DDC, Olivine, Picrite, Trace elements, Volcanoes, Volcanology
Organization: British Geological Survey (BGS)
Sediment data from IODP Expedition 363 (NERC grant NE/P016456/1)

Sediment % coarse fraction (>63 microns), and abundance of fish teeth in coarse fraction. 2016 has been a record breaking year in terms of global temperatures. The high temperatures have resulted from a combination of elevated atmospheric pCO2 coupled with the global impacts of a strong El Nino event. There are many important components of the climate system, and the El Nino phenomenon demonstrates the importance of the low latitude Pacific Ocean. The warm pool of water in the western Pacific Ocean has not always had the same characteristics as it has today, and it has been proposed that its evolution over the past 15 million years has had a major impact on global climate. In order to understand how the warm pool might respond to future climate change, it is important to understand the drivers behind its past evolution. Did it respond simply to the changing shape of ocean basins through time? Or did it respond to other components of the climate system, such as sea level or latitudinal temperature gradients? The changes in warm pool structure may also have impacted the biological ecosystems, and hence the cycling of carbon in this region. The carbon cycle is another key component of the Earth's climate system. Understanding the causes and consequences of these long-term changes in the Pacific warm pool requires a two-pronged approach, using modelling in conjunction with proxy records for different parts of the climate system. This proposal aims to generate some key records of past high latitude temperature and ice volume that can be directly compared with changes in the warm pool through time. These records will be derived from geochemical analyses of microscopic marine fossils collected by the International Ocean Discovery Program (IODP).

Tags: Marine sediments, NERC_DDC, Sediments
Organization: British Geological Survey (BGS)
Lower Carboniferous dolomite samples (NERC grant NE/I528142/1)

Core description, core samples and thin sections of Lower Carboniferous dolomite. Thesis : Reservoir Properties of Lower Carboniferous Limestone of the Derbyshire East Midlands Platform by Jack Stacey. Thesis: Advances in understanding the evolution of diagenesis in carboniferous carbonate platforms: insights from simulations of palaeohydrology, geochemistry, and stratigraphic development by Miles Frazer

Tags: Core samples, Dolomite (rock), NERC_DDC, Thin sections
Organization: British Geological Survey (BGS)
3D GIA model output (King et al. 2016) (NERC grant NE/K009958/1)

Numerical model predictions of present-day horizontal deformation due to ongoing glacial isostatic adjustment processes at GPS sites across Antarctica. Model accounts for 3D spatial variations in Earth rheology using a finite element approach.

Tags: Finite element analysis, Glaciation, Isostasy, Mathematical models, NERC_DDC
Organization: British Geological Survey (BGS)
3D GIA model output (van der Wal et al. 2015) (NERC grant NE/K009958/1)

Numerical model predictions of present-day solid Earth deformation and gravity field change due to ongoing glacial isostatic adjustment processes. Model accounts for 3D spatial variations in Earth rheology using a finite element approach.

Tags: Finite element analysis, Glaciation, Isostasy, Mathematical models, NERC_DDC
Organization: British Geological Survey (BGS)
GRACE, GLDAS and piezometric data for Makutapora and Limpopo Basins (NERC grant NE/M008932/1)

Monthly time-series data of GRACE (Gravity Recovery and Climate Experiment) total terrestrial water storage (TWS), GLDAS (Global Land Data Assimilation System) soil moisture, surface water (surface runoff), snow water storage, and basin-aggregated observations from piezometric data for the Makutapora Basin (Tanzania) and Limpopo Basin (South Africa).

Tags: Groundwater, NERC_DDC
Organization: British Geological Survey (BGS)
Image Data - Estimation of Capillary Pressure in Unconventional Reservoirs Using Thermodynamic Analysis of Pore Images

Image data published in AGU paper "Estimation of Capillary Pressure in Unconventional Reservoirs Using Thermodynamic Analysis of Pore Images". The images of unconventional shale rock pores were captured using nano-CT and SEM imaging methods. Images are segmented into fluid (or pore) and rock phases and are stored in RGB format as JPG files. Images were used to produce the plots and data presented in the above referenced paper.

Tags: Capillarity, Image analysis, NERC_DDC, Shale
Organization: British Geological Survey (BGS)
Soluble rocks dataset (5km Hex-Grid) version 8

The 5km Hex GS Soluble Rocks dataset shows a generalised view of the GeoSure Soluble Rocks v8 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: Geohazards, NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)
Atomic Force Microscopy images of surface nanobubbles on the rare earth fluorcarbonate mineral synchysite (NERC grant NE/M011429/1)

Non -contact atomic force microscopy (NC-AFM) images of surface nanobubbles on the fluorcarbonate mineral synchysite. Synchysite is a rare earth fluorcarbonate mineral which has previously been relatively unstudied. Since nanobubbles were first imaged in 2000, they have been thought to play a intigral role in mineral processing. Images of nanobubbles were produced under collector reagent conditions favourable to flotation. These are the first images of nanobubbles on the fluorcarbonate mineral synchysite. Nanobubbles at the surface of synchysite improve the understanding of both flotation and nanobubble formation.

Tags: Microscopy, Minerals, NERC_DDC, Rare earth minerals
Organization: British Geological Survey (BGS)
Shrink swell dataset (5km Hex-Grid) version 8

The 5km Hex GS Shrink Swell dataset shows a generalised view of the GeoSure Shrink Swell v8 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 8

The 5km Hex GS Running Sand dataset shows a generalised view of the GeoSure Running Sand v8 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)
Landslides dataset (5km Hex-Grid) version 8

The 5km Hex GS Landslides dataset shows a generalised view of the GeoSure Landslides v8 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 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 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.

Tags: NERC_DDC
Organization: British Geological Survey (BGS)
Compressible ground dataset (5km Hex-Grid) version 8

The 5km Hex GS Compressible Ground dataset shows a generalised view of the GeoSure Compressible Ground v8 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 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 compress under an applied load, a characteristic usually of superficial deposits such as peat or alluvium. Some types of ground may contain layers of very soft materials like clay or peat. These may compress if loaded by overlying structures, or if the groundwater level changes, potentially resulting in depression of the ground and disturbance of foundations. Complete Great Britain national coverage is available.

Tags: Geohazards, NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)
Collapsible deposits dataset (5km Hex-Grid) version 8

The 5km Hex GS Collapsible Deposits dataset shows a generalised view of the GeoSure Collapsible Deposits v8 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 reports can help inform planning decisions and indicate causes of subsidence. 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 the BGS Digital Map (DiGMapGB-50) 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.

Tags: Collapsing soils, Geohazards, NERC_DDC, Natural hazards
Organization: British Geological Survey (BGS)
Chemical potentials of liquid iron mixtures at ICB conditions and of solid ferropericlase at CMB conditions (NERC grant NE/M000990/1)

This dataset contains VASP runs performed on several supercomputing services (ARCHER, Monsoon, Thomas and Grace in the UK; Eos in the USA) to calculate the chemical potentials of liquid iron mixtures and solid ferropericlase at Earth's core conditions using density functional theory. Data are available for the chemical potentials of iron in MgFeO and oxygen in liquid FeSiO. These data were used to calculate the partitioning of oxygen between ferropericlase and Earth's liquid core and to analyse the chemical boundary layer above the CMB. The present grant also supported work regarding the homogeneous solid nucleation in iron and iron-oxygen mixtures at Earth's core conditions when dealing with the core paradox. Classical nucleation theory data and results from VASP runs and classical molecular dynamics runs performed on ARCHER and Eos (Oak Ridge, USA) are also included in the uploaded dataset. In addition, the present grant also supported research on the dynamics and evolution of the Earth's core, together with a study confirming the saturation of electrical resistivity of solid iron at Earth’s core conditions (these data were uploaded as part of a previous NERC Grant, NE/H02462X/1). Further details can be found in Davies, Pozzo and Alfe’ (2018, in press); Davies et al. (2018); Pozzo and Alfe’ (2016); Davies et al. (2015).

Tags: Earth core, NERC_DDC
Organization: British Geological Survey (BGS)
Ion probe Si and O zircon data (and standard characterisation) (NERC grant NE/R002134/1)

Provided here are in-situ Si and O isotope compositions of Detrital Jack Hills and Lachlan Fold Belt zircons. These data formed the basis of the research published as: Origin and significance of Si and O isotope heterogeneities in Phanerozoic, Archean, and Hadean zircon, Trail et al., (2018), PNAS 115 (41), 10287-10292 The data are provided in a single Excel spreadsheet, with multiple tabs, which are as follows: 1. Sample description and analytical method summaries 2. Solution and laser-fluorination data for characterisation of the standards used in the Ion Probe measurement sessions 3. Ion Probe (In-situ) Si and O isotope data for the Lachlan Fold Belt and Duluth Gabbro zircons 4. Ion Probe (In-situ) Si and O isotope data for the detrital Jack Hills zircons, as well as 207Pb/206Pb age estimates 5. Raw Ion Probe Si and O isotope data for LFB samples 6. Raw Ion Probe Si and O isotope data for Jack Hills samples 7. Ion Probe (In-situ) Si isotope data for the Lachlan Fold Belt zircons (utilising O- hyperion source)

Tags: NERC_DDC, Oxygen isotopes, Silicon isotopes, Zircon
Organization: British Geological Survey (BGS)
Near-field TLS and SfM datasets from the 2016 central Italian Earthquake Sequence ( NERC grant NE/P018858/1)

Terrestrial laser scanning datasets (including GPS data for georeferencing), structure from motion datasets, and field photographs collected during the 2016 Central Italian Earthquake sequence. Data were collected from multiple localities to capture the co- and post- seismic near-fault deformation along the earthquake surface ruptures. See the scan_data.xlsx for individual details of each laser scan location, and readme.txt for a complete description. In each scan site folder you can find the unprocessed raw files and processed ascii files. Note, not all processed files are georeferenced.This is due to time constraints on field data collection. Georeferencing for these data can be achieved by point cloud matching to other georeferenced scans. Photos for structure from motion (SfM) datasets were collected with a Nikon camera. All original photos are provided. Field photographs taken in the aftermath of the 2016 Norcia Earthquake (30th October 2016, Mw6.6) are also provided. Relevant references are: Wilkinson, MW, KJW McCaffrey, RR Jones, GP Roberts, RE Holdsworth, LC Gregory, RJ Walters, LNJ Wedmore, H Goodall, F Iezzi (2017). Near-field fault slip of the 2016 Vettore Mw 6.6 earthquake (Central Italy) measured using low-cost GNSS. Scientific Reports 7: 4612. Walters, RJ, LC Gregory, LNJ Wedmore, TJ Craig, K McCaffrey, M Wilkinson, J Chen, Z Li, JR Elliott, H Goodall, F Iezzi, F Livio, AM Michetti, G Roberts, E Vittori (2018). Dual control of fault intersections on stop-start rupture in the 2016 Central Italy seismic sequence. Earth and Planetary Science Letters 500, 1-14. Wedmore, LNJ, LC Gregory, KJW McCaffrey, H Goodall, RJ Walters (in review). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Submitted to Geophysical Research Letters.

Tags: Earthquakes, NERC_DDC
Organization: British Geological Survey (BGS)
Geochemistry and geochronology data relating to the II-RHY-1 tephra horizon, the Thórsmörk Ignimbrite, and Torfajökull and Tindfjallajökull volcanoes, Iceland. (NERC NE/L002493/1)

The data are associated with a paper entitled 'Widespread tephra dispersal and ignimbrite emplacement from a subglacial volcano (Torfajökull, Iceland)' by J Moles et al. (2019). See paper for full details. Data types: major element geochemistry; trace element geochemistry; 40Ar/39Ar geochronology. Table DR9 contains EPMA data of proximal lavas and ignimbrite fiamme. Table DR10 contains EPMA data of ash shards. Table DR11 contains EPMA standard data. Table DR12 contains LA-ICP-MS data of proximal lavas and ignimbrite fiamme. Table DR13 contains LA-ICP-MS data of ash shards. Table DR14 contains LA-ICP-MS standard data (raw). Table DR15 contains LA-ICP-MS standard data (corrected). Table DR16 contains 40Ar/39Ar geochronology data.

Tags: Geochemistry, Geochronology, Ignimbrite, NERC_DDC, Rhyolite, Volcanoes
Organization: British Geological Survey (BGS)