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  • Radon is a natural radioactive gas, which enters buildings from the ground. The joint Public Health England (PHE) –British Geological Survey (BGS) digital dataset Radon Potential for Great Britain provides the current definitive map of radon Affected Areas in Great Britain. Exposure to high concentrations increases the risk of lung cancer. PHE (previously known as the Health Protection Agency or HPA) recommends that radon levels should be reduced in homes where the annual average is at or above 200 becquerels per cubic metre (200 Bq m-3). This is termed the Action Level. The PHE defines radon Affected Areas as those with 1% chance or more of a house having a radon concentration at or above the Action Level of 200 Bq m-3. The dataset allows an estimate to be made of the probability that an individual property is at or above the Action Level for radon. This information provides an answer to one of the standard legal enquiries on house purchase in England and Wales, known as CON29 standard Enquiry of Local Authority; 3.13 Radon Gas: Location of the Property in a Radon Affected Area. Radon Potential for Great Britain also provides information on the level of protection required for new buildings as described in the latest Building Research Establishment guidance on radon protective measures for new buildings (Radon: guidance on protective measures for new dwellings; BR 211, 2015 in Scotland, England, Wales and Northern Ireland). This radon potential hazard information for Great Britain is based on PHE indoor radon measurements and BGS digital geology information. This product was derived from BGS Geology 50 (formerly known as DigMap50 V3.14) and PHE in-house radon measurement data. The indoor radon data is used with the agreement of the PHE. Confidentiality of measurement locations is maintained through data management practices. Access to the data is under licence.

  • **This dataset has been superseded. The latest version is newGeoSure Insurance Product version 8 2020.1** 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. This data is available as vector data, 25m gridded data or alternatively linked to a postcode database - the Derived Postcode Database. A series of GIS (Geographical Information System) maps show the most significant hazard areas. The ground movement, or subsidence, hazards included are landslides, shrink-swell clays, soluble rocks, running sands, compressible ground and collapsible deposits. The newGeoSure Insurance Product uses the individual GeoSure data layers and evaluates them 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 Derived Postcode Database (DPD) contains generalised information at a postcode level. The DPD is designed to provide a 'summary' value representing the combined effects of the GeoSure dataset across a postcode sector area. It is available as a GIS point dataset or a text (.txt) file format. The DPD contains a normalised hazard rating for each of the 6 GeoSure themes hazards (i.e. each GeoSure theme has been balanced against each other) and a combined unified hazard rating for each postcode in Great Britain. The combined hazard rating for each postcode is available as a standalone product. The Derived Postcode Database is available in a point data format or text file format. It is available in a range of GIS formats including ArcGIS (*.shp), ArcInfo Coverages and MapInfo (*.tab). More specialised formats may be available but may incur additional processing costs. The newGeoSure Insurance Product dataset has been created as vector data but is also available as a raster grid. This data is available in a range of GIS formats, including ArcGIS (*.shp), ArcInfo coverage's and MapInfo (*.tab). More specialised formats may be available but may incur additional processing costs. 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 50m ground resolution. This dataset has been specifically developed for the insurance of low-rise buildings. The GeoSure datasets have been developed to identify the potential hazard for low-rise buildings and those with shallow foundations of less than 2 m deep. The identification of ground instability and other geological hazards can assist regional planners; rapidly identifying areas with potential problems and aid local government offices in making development plans by helping to define land suited to different uses. Other users of these data may include developers, homeowners, solicitors, loss adjusters, the insurance industry, architects and surveyors.

  • Stable isotope and inorganic chemistry data for samples of groundwater from boreholes and springs in the sandur aquifer; glacial meltwater and river water; and glacier ice, from Virkisjokull glacier observatory. Selected water chemistry and stable isotope data are reported in Ó Dochartaigh, B. É., et al. 2019. Groundwater?- glacier?meltwater interaction in proglacial aquifers, Hydrol. Earth Syst. Sci.

  • The foreign sliced rock or 'F' collection consists of about 10, 000 specimens and thin sections, cited by their 'F' numbers. These include material archived from recent overseas projects and much collected during the late 19th or early 20th Century from regions within what was then the British Empire. It also includes 'exotic' materials donated to the Survey in its earlier years. Its coverage varies, although there is a predominance of African material. It is indexed on paper registers, and approximately 20% has been input onto 'Britrocks'.

  • Groundwater level and groundwater temperature data measured in 9 boreholes between August 2012 and August 2018. Groundwater conductivity data measured in 1 of these boreholes from September 2012 to August 2014. Eight of the boreholes are drilled into a sandur (glacial outwash floodplain) aquifer in front of Virkisjokull glacier, SE Iceland, and are between 8.2 and 14.9 m deep. The remaining borehole is drilled into a volcanic rock aquifer between the sandur and glacier and is 5.1 m deep. Selected groundwater monitoring data are reported in Ó Dochartaigh, B. É., et al. 2019. Groundwater?- glacier?meltwater interaction in proglacial aquifers, Hydrol. Earth Syst. Sci. Further information on borehole installations and geology can be found in Ó Dochartaigh et al. 2012. Groundwater investigations at Virkisjokull, Iceland: data report 2012. British Geological Survey Open Report OR/12/088,

  • Site investigation and geotechnical data received by the Geological Survey of Northern Ireland (GSNI) from 3rd party organisations in AGS file format. This data has been collected under the Northern Ireland Pan Government Collaborative Framework Agreement ( Once received by GSNI, the data is validated against predefined rules, processed and stored in the AGS agnostic database store. This data is then delivered as received e.g. no interpretative values or observations are added to the data by the GSNI. For more details about the Association of Geotechnical & Geoenvironmental Specialists (AGS) see:

  • The Dordrecht Deep, the deepest section of the Diamantina Fracture Zone (Indian Ocean), was surveyed with a Kongsberg EM 124 gondola-mounted to the hull of the 225-foot DSSV Pressure Drop. The survey was conducted over the course of three days – March 12-15, 2019. The data meet the requirements for IHO Special Order standards.

  • The dataset is a subset of the BGS borehole material database, created on August 1st 2015 covering only the Bowland-Hodder geological unit (as defined and mapped by Andrews et al., 2013). It shows all boreholes (name, location and registration details) for which BGS hold borehole material (drillcore, cuttings, samples and their depth ranges). This data will add value to existing NERC (Natural Environment Research Council) data by allowing a simple route for users to identify borehole material from the Bowland-Hodder interval.