AndreaBozzo/ceres-open-data-index huggingface dataset:
Experimental direct shear friction dataset for synthetic clay gouges (NERC grant NE/L002469/1)

Friction coefficient and frictional stability (rate & state parameter) data for triaxially compressed direct shear experiments on kaolinite-rich china clay and Mg-montmorillonite fault gouges (<2micron grain size). A total of 19 raw experimental datasets are presented as detailed in the index files: 13 on kaolinite-rich china clay, and 6 on cation-exchanged Mg-Montmorillonite. The raw data files, logged at either 1 or 2Hz, comprise confining pressures, upstream and downstream fluid pressures, force experienced by the direct shear assembly during triaxial compression, and absolute volumes of the confining pressure and fluid pressure reservoirs. Data is provided as measured by gauges in the pressure vessel in Volts, and also as calculated in MPa, kN and mm3. Also presented are the outputs of MATLAB models run to simulate the rate and state parameters k, a, b, dc and f0 for each experiment, with error data presented as 2sigma and standard error values. Parameters were determined using a non-linear least-squares fitting routine with the machine stiffness treated as a fitting parameter (c.f. Noda and Shimamoto, 2009). Data were fit by a single set of state variables (a, b, dc) with a linear detrend. Also presented are the outputs of Specific Thermogravimetric Analyses on kaolinite-rich china clay and Mg-montmorillonite.

Tags: Clays, Compression tests, Friction (geomechanics), Kaolinite, Montmorillonite, NERC_DDC, Rock deformation, Saturation, Shear properties
Organization: British Geological Survey (BGS)
Evidence for the top-down control of lava domes on magma ascent dynamics. (NERC Grant ref NE/L002574/1)

Data output from the numerical flow modelling in GRL manuscript ""Evidence for the top-down control of lava domes on magma ascent dynamics"", by Marsden, L., Neuberg, J. & Thomas, M., all of University of Leeds. The models were created using the Laminar Flow module in COMSOL Multiphysics v5.4 by L. Marsden. The following files are uploaded: Archive_Reference_Model.txt (Reference flow model: Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1 ) Archive_High_H2O.txt (Gas loss function, Initial H2O content = 10 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_No_Gas_Loss.txt (No gas loss, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_Gamma_Low.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 10 MPa, Constant corresponding to crystal growth rate = 1e-6 s^-1) Archive_Excess_Pressure_0MPa.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 0 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) Archive_Excess_Pressure_20MPa.txt (Gas loss function, Initial H2O content = 4.5 wt.% Excess pressure at depth = 20 MPa, Constant corresponding to crystal growth rate = 4e-6 s^-1) The files uploaded include the reference flow model and where a single key parameter has been changed in the flow modelling. We include data where the key parameter is at the upper or lower limit of the values tested. Data are not included where magma ascent is modelled to stall without the extrusion of a lava dome, as a time dependent model is not run in this case. A solution is provided using equilibrium modelling only. The following variables are output, at conduit centre unless specified: Depth (m), Time(s), Ascent velocity (m/s), Bulk Viscosity (Pa s), Crystal Content, Dome height (m), Gas Volume Fraction, Overpressure (Pa), Shear Stress at Conduit Wall (Pa)

Tags: Magma, Models, NERC_DDC, Volcanoes
Organization: British Geological Survey (BGS)
Oilfield in a box: The Hutton Field Dataset

This 'oilfield in a box' dataset contains all of the raw data available from the Hutton hydrocarbon field in the northern North Sea (quadrant 211), provided to BGS (British Geological Survey) through the National Hydrocarbon Data Archive. Petroleum licences issued by the Oil and Gas Authority (OGA) require that all hydrocarbon data from the UK continental shelf (UKCS) are preserved in perpetuity and in usable condition. Historically, a route to end this obligation was achieved by archiving data in the National Hydrocarbon Data Archive (NHDA), which was active from 2003 to 2016. The NHDA, operated by BGS on behalf of the UK Government, was the primary long-term data archive for UK offshore oil and gas exploration and production activity data. During its life the NHDA was used by various operators and organisations to archive a range of UKCS data from one field, 15 licences, 33 seismic surveys and 102 wells. Details on these can be found at the web link: http://www.bgs.ac.uk/nhda/home.html After decommissioning the Hutton Field, the (then) operator Kerr McGee deposited the well and seismic data within the NHDA. The NHDA has taken over management of these data and has now licensed it for academic and non-commercial use. This dataset represents a comprehensive record of the type of information collected over the lifetime of a hydrocarbon field, and comprises: borehole data from 65 wells across the Hutton Field, including wireline logs and reports; a 3D seismic survey; stratigraphic and production data.

Tags: Boreholes, Hydrocarbons, NERC_DDC, Oil fields, Oil wells, Petroleum exploration, Seismic data
Organization: British Geological Survey (BGS)
Comparative performance of rural water supplies during drought - dataset (UKRI grant NE/R000069/1) (WITHDRAWN DATASET)

**THIS DATASET HAS BEEN WITHDRAWN** Ethiopia experienced severe drought in 2015-16. Many rural communities experienced declines in the performance of their water supply systems. As a result UNICEF commissioned a real-time monitoring and responsive operation and maintenance programme for point source rural water supplies across Central, Northern and Eastern Ethiopia. The water point monitoring survey was coordinated by UNICEF and conducted by World Vision Ethiopia and Oxfam Ethiopia. Data was collected between January and May 2016. Akvo Flow, a mobile survey tool, was used to collect data using questionnaires which were completed by enumerators and uploaded to central servers in near real time. The dataset includes data on functionality, access, usage and water quantity from 5196 rural water points. UNICEF provided the dataset to BGS. BGS reorganised, cleaned, and conducted quality control and analysis of the dataset. A companion paper has been published with more details of the methodology and results of the monitoring survey, https://doi.org/10.1038/s41467-020-14839-3

Tags: Climatology, Droughts, Groundwater, NERC_DDC, Water supply
Organization: British Geological Survey (BGS)
2019, CNOOC Petroleum Europe Ltd, Cragganmore Appraisal 2 Well Survey, Site Survey, DECC Reference Number GS_943

An oil and gas industry debris clearance, seabed infrastructure, semi-sub rig, environmental site survey acquired under licence P1598 in September 2019. The block numbers traversed were 208/12, 208/17.

Organization: British Geological Survey (BGS)
2018 High frequency magnetic field induction coil data from Eskdalemuir Observatory, UK

High frequency (100 Hz) data from two horizontal induction coils measuring the Earth's magnetic field at the Eskdalemuir Observatory in the United Kingdom. The data covers the period from January 2018 to December 2018. Also included are examples of Matlab code and the frequency calibration files to convert to the raw data to SI units. Thumbnail spectrograms and metadata are also supplied.

Tags: Ionosphere, Magnetic fields, NERC_DDC
Organization: British Geological Survey (BGS)
2019 High frequency magnetic field induction coil data from Eskdalemuir Observatory, UK

High frequency (100 Hz) data from two horizontal induction coils measuring the Earth's magnetic field at the Eskdalemuir Observatory in the United Kingdom. The data covers the period from January 2019 to December 2019. Also included are examples of Matlab code and the frequency calibration files to convert to the raw data to SI units. Thumbnail spectrograms and metadata are also supplied.

Tags: Ionosphere, Magnetic fields, NERC_DDC
Organization: British Geological Survey (BGS)
Causes of ice age intensification across the Mid-Pleistocene Transition. (NERC grant NE/P011381/1)

Late (0-250 ka) and middle (1050-1280 ka) Pleistocene boron isotope data from planktic foraminifera (Globigerinoides ruber) and oxygen isotopes data from benthic formainifera (Cibicidoides wuellerstorfi). Boron isotopes measured using multi-collector inductively coupled plasma mass-spectrometry (MC-ICPMS).

Tags: Boron isotopes, Carbon dioxide, Geochemistry, NERC_DDC
Organization: British Geological Survey (BGS)
Geomechanical and discrete fracture networks in Thomas et al. 2020, Journal of Geophysical Research: Solid Earth (NERC Grant NE/L000660/1)

Data supporting 'Effective permeability tensors of three-dimensional numerically grown geomechanical discrete fracture networks with evolving geometry and mechanical apertures', submitted to the Journal of Geophysical Research: Solid Earth. Authors: Robin N Thomas (corresponding, robin.thomas11@imperial.ac.uk), Adriana Paluszny, Robert W Zimmerman. Department of Earth Science and Engineering, Imperial College London. Contents: For each GDFN, the geometry at each growth step. Additionally, for GDFN E, the data shown in the paper (aperture and flow distributions, figures 6 and 7) are provided, including the displacement for the mechanical case, and pressure distributions which were not shown in the manuscript. For the two SDFN sets, the geometry of the four datasets shown in figures 4 and 5 are provided. Notes: - The geometry files are provided in the .3dm format, Rhinocerous' native format (https://www.rhino3d.com/). A free trial of Rhinocerous can be used to explore the files, and can convert them to a range of other CAD file types. - VTK files can be viewed using free software such as Paraview (https://www.paraview.org/). These contain the meshes. - Fracture surface areas reported in the paper are derived from the mesh, rather than the geometry. The mesh approximates the geometry leading to a different surface area than those measured in the geometry (3dm) files. - The SDFN datasets are shown before trimming the parts of fractures which are outside the domain. These parts are trimmed when they are imported to ICGT.

Tags: Finite element analysis, Fracture analysis, Geomechanics, NERC_DDC, Permeability
Organization: British Geological Survey (BGS)
Hydrothermal fluid modelling for pH in alkaline hosts (NERC grant NE/M010848/1)

This study explored the links between host rock composition, hydrothermal fluid composition (particularly pH), and the resulting ore minerals and deposits. The progressive water–rock reaction between 1 kg of initially acidic, condensed magmatic vapour and a series of different rock compositions was modelled with CHILLER (Reed, 1982, Reed, 1998), and follows the design of the water-rock reactions of Reed (1997). The thermodynamic data used in the numerical experiments are from the database SOLTHERM.H08 (Reed and Palandri, 2013). Data and calculations within SOLTHERM include: equilibrium constants calculated with SUPCRT92 (Johnson et al., 1992); mineral thermodynamic data for silicates, oxides, hydroxides, carbonates, gases (Holland and Powell, 1998) and sulphides (Shock, 2007). Mineral solid solutions are represented by end-member compositions that are mixed using an ideal multisite mixing scheme. Rock compositions used in the modelling represent a sub-alkaline andesitic control, and a number of alkaline compositions associated with world-class Au deposits. All starting rock compositions are derived from whole rock geochemical data, and have been recalculated to a 100% basis without TiO2 or P2O5 (excluded as minor phases with little to no effect on hydrothermal mineral assemblages). Original total Fe (as Fe2O3) has been recalculated to FeO and Fe2O3 using the method of Müller et al. (2001). The andesite is representative of calc-alkaline, silica saturated compositions, and is derived from and discussed in detail in Reed (1997). The Luise “Phonolite” (a trachyandesite using the Le Maitre et al., 1989 TAS plot; Fig. 1) and Trachyandesite are from the vicinity of the Ladolam epithermal Au deposit, Lihir Island, Papua New Guinea (Müller et al., 2001). The Porgera Mugearite and Feldspar Porphyry represent unaltered host rock compositions (Richards, 1990) from the Porgera Au deposit (Papua New Guinea). The Cripple Creek Phonolite is part of the host suite to the Cripple Creek epithermal Au deposit, Colorado (Kelley et al., 1998). The Savo trachyte (Smith et al., 2009) represents a typical host rock of the active hydrothermal system (Smith et al., 2010), on Savo island, Solomon Islands. With the exception of the Andesite, all compositions are alkaline using the total alkali versus silica definition of Irvine and Baragar (1971). The Savo sample is not associated with known epithermal Au mineralisation; this composition was selected on the grounds that it represents an evolved (SiO2-rich) silica-saturated, alkaline composition. The initial fluid composition is based on a condensate from Augustine volcano (Symonds et al., 1990) mixed 1:10 with pure water (Reed, 1997; Table 2). A single starting fluid for all models was chosen so as to demonstrate the effect of host rock alone.

Tags: Epithermal deposits, Gold, Hydrothermal fluids, NERC_DDC, Tellurium, Tellurium minerals, pH value
Organization: British Geological Survey (BGS)
Static gravity data Campi Flegrei, Italy (2015 survey) (NERC grant NE/J020052/1)

The data set contains location (latitude and longitude), ellipsoidal height (m) and observed gravity of benchmarks at the Campi Flegrei caldera, Italy. The gravity and location data were collected between 8 and 12 July, 2015 using a Scintrex CG5 gravimeter (serial number: 572) in tandem with a TOPCON HiPer Pro Dual-Frequency GNSS base and rover system. The survey contained a total of 85 benchmarks in addition to the base station.

Tags: Caldera, Gravity, NERC_DDC
Organization: British Geological Survey (BGS)
Nannofossil data from early Eocene hyperthermal K/X, Site 1510, SW Pacific Ocean 850 km west of northern New Zealand. (NERC grant NE/R009295/1)

The data is presented as relative abundances of all species encountered in 300 counts on standard light microscope smear slides. Counts are presented from 64 samples, ranging from sample U1510A 48X 1W 50-51 cm (435.90 m) to U1510A 52X CC 24 cm (478.09 m). A second dataset provides semi-quantitative data from the same samples, which includes species that were not encountered during the 300 count.

Tags: Eocene, Microfossils, NERC_DDC
Organization: British Geological Survey (BGS)
2019, BP Exploration, Skua 2019 Geophysical and Shallow Geotech Survey, Site Survey, DECC Reference Number GS_945

An oil and gas industry seabed infrastructure, debris clearance, drilling hazard, environmental site survey acquired under licences P358, P2452 in September 2019. The block numbers traversed were 22/23, 22/24.

Organization: British Geological Survey (BGS)
2019, BP Exploration, Andrew 2019 Geophysical Survey, Site Survey, DECC Reference Number GS_955

An oil and gas industry seabed clearance, debris clearance, drilling hazard, environmental site survey acquired under licences P165, P168, P169, P2125 between September and October 2019. The block numbers traversed were 16/27, 16/28.

Organization: British Geological Survey (BGS)
2019, CNOOC Petroleum Europe Ltd, Glengorm Geophysical Site Survey, Site Survey, DECC Reference Number GS_871

An oil and gas industry drilling hazard, jack-up rig, appraisal drilling site survey acquired under licence P2215 between May and June 2019. The block numbers traversed were 22/21, 22/22, 22/26, 22/27.

Organization: British Geological Survey (BGS)
2019, BP Exploration, Clair South 2019 Geophysical Survey, Site Survey, DECC Reference Number GS_909

An oil and gas industry platform, route, seabed infrastructure, debris clearance site survey acquired under licences P165, P168, P169, P2125 between May and June 2019. The block numbers traversed were 206/8, 206/12, 206/13.

Organization: British Geological Survey (BGS)
Investigating Geophysical Unrest at Sierra Negra (NERC Grant NE/S002685/1)

The Investigating Geophysical Unrest at Sierra NegrA (IGUANA) experiment was designed to monitor seismic activity associated with magmatic unrest at Sierra Negra volcano, Galapagos Islands, Ecuador. In late 2017, it was apparent that Sierra Negra was likely approaching a new eruption, and that the volcanic edifice was critically stressed. The experiment captured seismic broadband data during the final approach to eruption, the eruption onset on 26 June 2018, and co-eruptive deflation.

Tags: Earthquakes, NERC_DDC, Seismic data, Volcanic eruption, Volcanoes
Organization: British Geological Survey (BGS)
PI-LAB (Passive Imaging of the Lithosphere Asthensphere Boundary) broad band ocean bottom seismic data (NERC grants NE/M003507/1, NE/M004643/1)

Broadband data collected at the equatorial Mid-Atlantic Ridge from March 2016 to March 2017. From the Grant abstract: We will systematically image the entire length of an oceanic plate, from its birth at the Mid Atlantic Ridge to its oldest formation on the African margin. This is a large-scale focused effort with multiple scales of resolution and sensitivity, from a metre to kilometre scale using seismic and electromagnetic methods. This scale, focus, and interdisciplinary approach will finally determine the processes and properties that make a plate strong and define it. The project will be accomplished through a large, focused international collaboration that involves EU partners (3.5 M euro) and industry (6.4M euro), both already funded.

Tags: Earth lithosphere, Earth mantle, NERC_DDC, Oceanic ridges, Seismic data
Organization: British Geological Survey (BGS)
GeoScour - A Geological assessment of the potential for river scour

BGS GeoScour provides river scour susceptibility information for Great Britain using a three-tiered data provision allowing increasing levels of understanding at different resolutions from catchment to local (channel/reach) scales. GeoScour includes 11 GIS layers, providing information on the natural characteristics and properties of catchment and riverine environments for the assessment of river scour in Great Britain. The data product fills a gap in current scour modelling, with the input of geological properties. It provides an improved toolkit to more easily assess and raise the profile of scour risk, now and in the future, to help infrastructure providers and funders prioritise resources, identify remedial works to preclude costly and prevent disruptive failures. The data product has broad applications through its adaptation to suit multiple types of asset likely to be affected by fluvial erosion. The GeoScour Data Product is designed to be used by multiple stakeholders with differing needs and therefore, can be interrogated at a number of levels. Tier 1 data provides a summary overview of the catchment characteristics, typical response type, and evolution. It can be used as a high-level overview for incorporation into catchment management plans, national reviews and catchment comparisons. Tier 2 data are available as smaller catchment areas and focusses on providing data for more detailed catchment management, natural flood management and similar uses. It analyses geological properties such as flood accommodation space, catchment run-off potential, and geomorphology types, as well as additional summary statistics of key environmental parameters such as protected sites and urban coverage. Tier 3 data provide the detailed riverine information that is designed to be incorporated into more complex river scour models. It provides the baseline geological context for river scour development and processes and identifies important factors that should be considered in any scour model. Factors such as material mineralogy, strength and density are key properties that can influence a river’s ability to scour. In addition, an assessment of river fall, sinuosity and flood accommodation space is also provided. This data is of use to all users assessing the propensity for river scour for any given reach of a river across Great Britain. Tier 1 and 2 data are available with an OGL, Tier 3 data is licenced.

Tags: Catchment, Floods, NERC_DDC, Scouring
Organization: British Geological Survey (BGS)
Processed SAR Data over Erta 'Ale Volcano, Afar, Ethiopia (NERC grant NE/L013649/1)

This dataset contains 204 ascending and 300 descending Sentinel-1 geocoded unwrapped interferograms and coherence, and 70 ascending and 102 descending Re-sampled Single Look Complex (RSLC) images for each acquisition date. This data set also includes the original size Digital Elevation Model (DEM) used during InSAR processing. Data used by: Moore et al, 2019, “The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights into the Shallow Axial Plumbing System of an Incipient Mid-Ocean Ridge”.

Tags: Geodesy, InSAR, NERC_DDC, Rift zone, Volcanic eruption, Volcanism
Organization: British Geological Survey (BGS)
newGeoSure Insurance Product version 8 2019.3

**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. These hazards are evaluated 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 evaluated hazards are then linked to a postcode database - the Derived Postcode Database (DPD), which is updated biannually with new releases of Ordnance Survey Code-Point® data (current version used: 2019.3). The newGIP is provided for national coverage across Great Britain (not including the Isle of Man). This product is available in a range of GIS formats including Access (*.dbf), ArcGIS (*.shp) or MapInfo (*.tab). The newGIP is produced for use at 1:50 000 scale providing 50 m ground resolution.

Tags: Geohazards, Insurance, NERC_DDC, Risk analysis, Risk management
Organization: British Geological Survey (BGS)
Whole-rock geochemistry of Tindfjallajökull volcano, Iceland (NERC grant NE/L002493/1)

Whole-rock geochemistry data of samples collected from Tindfjallajökull volcano, south Iceland. For further information, see Moles, J. D. (2018). Volcanic archives of past glacial environments: Tindfjallajökull volcano, Iceland. PhD thesis, The Open University. http://oro.open.ac.uk/id/eprint/62117. Geographical extent: Bounding box latitude and longitude: SW corner 63°42'N 19°46'W and NE corner 63°50'N 19°28'W.

Tags: Geochemistry, NERC_DDC, Volcanoes
Organization: British Geological Survey (BGS)
Processed InSAR images over Fentale Volcano, Main Ethiopian Rift (NERC grant NE/L01372X/1)

This data set contains 119 unwrapped and geocoded inteferograms derived from Cosmo-SkyMed (CSK) SAR scenes aquired over the Northen Main Ethiopian Rift between June 2014 and December 2015. This data set also contains displacement time series derived from processed CSK and Sentinel-1 inteferograms at the locations specified in the accompanying README files

Tags: Deformation (structural geology), Geodesy, NERC_DDC, Rift valleys, Rift zone, Volcanism, Volcanoes
Organization: British Geological Survey (BGS)