A seismic dataset of 70 temporary and 3 permanent seismic stations deployed from 05/2012 to 10/2013 in northern Turkey. Three-component seismic data were collected at each location. Stations were deployed across the North Anatolian Fracture Zone (NAFZ) in the region of the 1999 Izmit and Duzce earthquakes. The network covered a footprint of ~35 by 70 km with a nominal station spacing of 7 km. Continuous seismic data were collected to study the crustal structure of the NAFZ to better understand the structure and dynamics of the NAFZ and it seismic hazard for the region. Funding for the project was provided through NERC Standard grant NE/I028017/1 and 63 stations were provided by the GEF. Additional stations were provided by the Kandilli Observatory and Earthquake Research Institute. Seismic stations were a mixture of Guralp CMG-6TD and CMG-3T. Further information can be found in GEF report for loan 947 - http://gef.nerc.ac.uk/documents/report/947. Link to data: http://ds.iris.edu/gmap/YH?timewindow=2012/5/01-2013/10/01

Shrink-swell is recognised as the most significant geohazard across Great Britain. This dataset identifies areas of shrink-swell hazard with increased potential due to changing climatic conditions based on forecasts derived from the UKCP09 research project. The dataset has been created at two levels of detail for different climatic scenarios and dates up to 2080. The Basic dataset is an overview at 2Km grid resolution whilst the more detailed Premium dataset is generated at a 50m resolution. The Open versions are simplified versions of the premium versions and are shared via GeoIndex. The premium versions are paid for products. UKCP09 - UK Climate Projections 2009 project

The 1km Hex Mining Hazard (Not Including Coal) v7 dataset shows areas of known underground mining (Not Including Coal), identified with an indication of the level of hazard associated for each site. The presence of former underground workings, particularly where shallow, may collapse and cause surface settlement which is used to identify potential hazard at each site. The rating is based on a Low (limited mining known to have occurred) to High (underground mining is known to have occurred) scale. The dataset covers areas of known underground working in Great Britain. The coverage is not comprehensive as areas with no evidence of underground working are unclassified. Underground extraction of minerals and rocks has taken place in Great Britain for more than 5000 years. This dataset draws together a range of diverse information; the geology, the primary constraint on distribution; additional information sourced from published literature and knowledge from BGS experts. Derived from the original MiningHazardNotIncludingCoalGB_v7 dataset, this layer generalises these data into a Hex grid format, with an effective hexagonal grid resolution of 2.6km coverage area (side length of 1km). The dataset was created to provide a comprehensive overview of Great Britain's long and complicated mining legacy. It provides essential information for planners and developers working in areas where former underground mine workings may have occurred. Also for anyone involved in the ownership or management of property, including developers, householders and local government.

This dataset encompasses thin section photographs, mineral composition data and Ar/Ar data. Grant abstract: Many of the Earth's great mountain ranges, such as the Alps and the Himalaya, result from the collision between two continents. As mountains get pushed up by tectonic forces, they also get worn away by surface erosion. The uplift of topography causes long-term regional and global climate change, and conversely, changes in climate have also been linked to changes in the rate of tectonic processes. This project will define and quantify the competition between growth and erosion during the early stages of mountain uplift by exploiting a combination of state-of the art advances in numerical modelling and analytical techniques. During the early stages of continental collision, unusual (and diagnostic) rock types form under very high pressure conditions. Certain minerals in these rocks preserve details of the pressures and temperatures experienced during the journey from initial formation deep in the mantle, through their subsequent transport to the Earth's surface, their erosion, and their final deposition as sand grains in a sedimentary rock. The minerals retain distinctive chemical signatures which allows them to be distinguished from those formed in other rock types, even when eroded and turned into sand. Sand grains retain information about not only the original rock type, but also about details of the formation and transport history of the original rock. Unlocking this information will therefore yield insight into earlier stages of mountain belt growth history than is currently preserved in the bedrock record. However the methods needed to decipher these details are currently insufficiently precise to provide useful insight into changes in rates of tectonic or erosive processes, or constraints for the models. This project will therefore also develop and exploit innovative techniques for obtaining high-precision data from these high pressure rocks and their eroded remains. These data will enable the competing forces which act to shape a mountain belt during the early stages of formation to be quantified and allow the numerical models to be robustly tested. The unique contribution of this proposal lies in the combination of geodynamic numerical modelling with studies based on observational data and hence exploiting the synergy between these two, normally disparate, fields.

Each file contains four columns of data representing: column 1: UTM Zone 19S Easting coordinate for survey location along the Rio Beni, Bolivia. column 2: UTM Zone 19S Northing coordinate for survey location along the Rio Beni, Bolivia. column 3: Measurment range from observer to bank in m column 4: Bank height in m (the difference between bank top and low flow water level) UTM coordinates were measured using a Trimble Global Position System with OmniSTAR HP correction Measurement range and bank height were measured using a GPS supported laser range finder (Impulse 200 LR< Laser Technology inc) Survey 1 was carried out between 15th and 19th September 2011, when the flow discharge within the Beni was in the range 453-530 cumecs Survey 2 was carried out between 20th and 23rd September 2011, when the flow discharge within the Beni was in the range 762-892 cumecs

This data set contains land cover/land use data for the year 1990 and 2015 obtained through processing of Landsat images of US Geological Survey. These data sets were obtained through a supervised classification carried out with Landsat 8 image for 2015; Landsat 4 and 5 were used for land use classification of 1990. Gro for GooD: Groundwater Risk Management for Growth and Development

A worldwide compilation of 333 analyses of U and Pb concentrations in olivine-hosted melt inclusions from island arc magmas. These data were used in Delavault et al. (2016, Geology 44, 819-822) to calculate the present-day distribution of the U/Pb ratios in magmas generated in subduction setting.

High precision electron-probe analysis of olivine compositions from a set of ocean island basalts. Accompanied by thin section scans and QEMSCAN (Quantitative Evaluation of Minerals by SCANning) compositional maps.

The 5km Hex GS Soluble Rocks dataset shows a generalised view of the GeoSure Soluble Rocks v7 dataset to a hexagonal grid resolution of 64.95km coverage area (side length of 5km). This dataset indicates areas of potential ground movement in a helpful and user-friendly format. The rating is based on a highest level of susceptibility identified within that Hex area: Low (1), Moderate (2), Significant (3). Areas of localised significant rating are also indicated. The summarising process via spatial statistics at this scale may lead to under or over estimation of the extent of a hazard. The supporting GeoSure reports can help inform planning decisions and indicate causes of subsidence. The Soluble Rocks methodology is based on the BGS Digital Map (DiGMapGB-50) and expert knowledge of the behaviour of the formations so defined. This dataset provides an assessment of the potential for dissolution within a geological deposit. Ground dissolution occurs when certain types of rock contain layers of material that may dissolve if they get wet. This can cause underground cavities to develop. These cavities reduce support to the ground above and can lead to a collapse of overlying rocks. Dissolution of soluble rocks produces landforms and features collectively known as 'karst'. Britain has four main types of soluble or 'karstic' rocks; limestone, chalk, gypsum and salt, each with a different character and associated potential hazards. Engineering problems associated with these karstic rocks include subsidence, sinkhole formation, uneven rock-head and reduced rock-mass strength. Sinkhole formation and subsidence has the potential to cause damage to buildings and infrastructure. Complete Great Britain national coverage is available.

Data produced from NERC Grant NE/M001156/1 - Fe speciation data (FeHR/FeT, and FePy/FeHR), collected following methods outlined in Izon et al., 2017, Proceedings of the National Academy of Sciences (PNAS); % Carbonate, determined gravimetrically; d34SV-CDT for sedimentary pyrite, analysed by Iso-Analytical Laboratories, Cheshire, using standard EA-IRMS techniques; d15N of bulk rock, analysed by nano-EA-IRMS, following methods described in Polissar et al., 2009, Analytical Chemistry; d15N of kerogen extracted following the methods described in Zerkle et al., 2017, Nature, analysed by nano-EA-IRMS; d13C of organic carbon, measured on decarbonated rock powders by standard EA-IRMS techniques; %TN and TON % determined by standard EA-IRMS of bulk rock and extracted kerogen, respectively. Drill core samples were taken through the 2.7Ga old Manjeri Formation of the Belingwe Greenstone belt, Zimbabwe, which overlies more ancient gneissic basement with very well-exposed unconformity (Bickle et al. 1975). The Manjeri Formation, typically 50-150m thick, exhibits a deepening succession of facies (Grassineau et al., 2002, Hunter et al., 1998). It is directly overlain by komatiitic basalts and komatiites of the Reliance Fm., dated at 2692±9 Ma (Pb-Pb whole rock; Chauvel et al., 1993). The metamorphic grade of the Manjeri succession is variable, but generally remarkably low (Abell et al. 1981). Three drill cores were taken in the Manjeri Formation. The NERCMAR drill core has been described in detail by Grassineau et al., 2002. Drill cores A and B were collected some km to the north, in the upper Manjeri Formation.