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ESRI Shapefile

34 record(s)

 

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  • Underground extraction of minerals and rocks has taken place in Great Britain for more than 5000 years. The 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. Areas of known underground mining are identified with an indication of the level of hazard associated for each site. The presence of former underground workings, particularly where shallow, may collapse, causing surface settlement or subsidence. The type of material mined, age and extent of working (where known) is used to assess and classify the hazard at each site. The value is based on an A (mining is not known to have occurred) to E (evidence of extensive underground mining is known) scale. Mining Hazard (not including coal) covers areas of known underground working in Great Britain. The coverage is not comprehensive as areas with no evidence of underground working are not included in the data. 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.

  • 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.

  • The dataset describes the relative vulnerability of groundwater to contamination across Scotland, by means of five relative classes ranging from 1 (lowest vulnerability) to 5 (highest vulnerability). The dataset is a screening tool that can be used to show the relative threat to groundwater quality from contamination across Scotland. It can provide guidance on the vulnerability of groundwater at a regional scale, highlighting areas at comparatively higher risk of groundwater contamination, and can help indicate the degree of specific site investigation required for a new development or activity. It is designed to be used at a scale of 1:100,000 and should be regarded as a tool to aid groundwater risk assessment rather than a complete solution.

  • The dataset describes the potential of superficial deposit aquifers across Scotland to sustain various levels of borehole water supply, based on four productivity classes: high; moderate to high; moderate; and a category to signify that a deposit is 'not a significant aquifer'. All superficial deposits aquifers in Scotland are assumed to have primarily intergranular groundwater flow. The dataset is a tool to indicate the location and productivity of superficial deposit aquifers across Scotland. It may have several uses, including in policy analysis and development; to prioritise aquifer and site investigations; to inform planning decisions; and to improve awareness of groundwater in general. The complexity and heterogeneity of geological formations means that the dataset is only a guide. It is designed to be used at a scale of 1:100,000, and not to assess aquifer conditions at a single point.

  • The GeoSure data sets and reports from the British Geological Survey provide information about potential ground movement or subsidence in a helpful and user-friendly format. The reports can help inform planning decisions and indicate causes of subsidence. The methodology is based on BGS DiGMap (Digital Map) 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. The storage formats of the data are ESRI and MapInfo but other formats can be supplied.

  • 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.

  • 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.

  • The dataset consists of a map of individual ash trees (Fraxinus excelsior) across Great Britain. The data is derived from Countryside Survey 2007 and includes individual trees in the landscape, clumps of trees and veteran trees. Trees were mapped in 569 1km sample squares across Britain, and this national estimate dataset was derived from the sample data using ITE Land Classes. Full details about this dataset can be found at https://doi.org/10.5285/0c3567a8-3700-4d52-a21f-de1bd709141a

  • This dataset models bee nectar plant richness across Great Britain (GB). It uses counts of bee nectar plants (using a list agreed with experts) in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, precipitation and altitude. This data provides a metric of the Natural Capital associated with pollination, although to measure the service itself you would require additional datasets. Understanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination. Full details about this dataset can be found at https://doi.org/10.5285/623a38dd-66e8-42e2-b49f-65a15d63beb5

  • This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Full details about this dataset can be found at https://doi.org/10.5285/9f043047-d1c7-4852-b513-aa00204022a8