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

The dataset consists of a distribution map of ash trees (Fraxinus excelsior) within woodland areas of less than half a hectare across Great Britain. The data is derived from Countryside Survey 2007. 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/10.5285/7f7c99c7-5457-444d-978a-fe7b01a85fd0

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

The dataset is a Soil Corrosivity Map for the U.K. based on the BGS DIGMapGB-PLUS Map. The creation of this dataset involves scoring the Soil Parent Material types for five different attributes that contribute towards the corrosion of underground assets. These are (i) high or low soil pH, (ii) general soil moisture, (iii) the likelihood that soil saturated and undergo periods of anaerobic conditions, (iv) the presence of sulphides and sulphates and (v) the resistivity of the soil parent material. The scoring of each of these parameters was undertaken based on the Cast Iron Pipe Association (CIPA) (now the Ductile Iron Pipe Research Association, DIPRA) rating system. By combining the scores of each parameter a GIS layer has been created that identifies those areas that may provide a corrosive environment to underground cast iron assets. The final map has been classified into three categories signifying: 'GROUND CONDITIONS BENEATH TOPSOIL ARE UNLIKELY TO CAUSE CORROSION OF IRON', 'GROUND CONDITIONS BENEATH TOPSOIL MAY CAUSE CORROSION TO IRON', 'GROUND CONDITIONS BENEATH TOPSOIL ARE LIKELY TO CAUSE CORROSION TO IRON'. The dataset is designed to aid engineers and planners in the management of and maintenance of underground ferrous assets.

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 dataset uses the outline of the mining hazard not including coal in Great Britain data but has been re-attributed to reflect the potential affect of underground drainage. It excludes areas of Coal mining as these are covered by the Coal Authority and therefore are not included in this dataset. It has been reattributed from the A-E rating scale indicating the increasing likelihood of an underground mining hazard to a 1-4 scale identifying the likelihood of susceptibility to infiltration. The data was created using expert knowledge to reattribute the original mining area polygons.

This dataset is part of the infiltration SuDS map and infiltration SuDS GeoReport. It has been developed to help inform planning decisions. This dataset shows the permeability of the bedrock for the purposes of determining whether the installation of infiltration sustainable drainage systems is possible. It differs from the permeability indices dataset in the following ways: a score field has been added to polygons, polygons of equal attributes have been merged, a short and detailed description and an advice and layer ID field has been added.

This dataset classifies bedrock and superficial geologic units according to their aquifer designation - Principal Aquifers, Secondary Aquifers (Secondary A, Secondary B, and Secondary undifferentiated), and Unproductive Strata. The Environment Agency (EA) and Natural Resources Wales (NRW) help to protect groundwater by identifying different types of aquifers ‐ underground layers of water‐bearing, permeable rock or drift deposits from which groundwater can be extracted. The groundwater protection policies for the EA and Natural Resources Wales use aquifer designations that are consistent with the Water Framework Directive. These designations reflect the importance of aquifers in terms of groundwater as a resource (such as a drinking water supply) but also their role in supporting surface water flows and wetland ecosystems. The aquifer designation dataset is jointly owned by the British Geological Survey (BGS) and the Environment Agency (EA). The dataset covers geologic units mapped in England and is derived from BGS Geology 50k (DiGMapGB-50).

here is a large deal of uncertainty as to the levels of stabilty of slope components of the European margin, other than localised detailed surveys completed using combination of sidescan sonar and swath bathymetry in recent years. Thesse surveys have revealed that the factors which control the locations of areas of potential slope failure are complex and manifold. Clearly slope gradients, sediment supply, physical oceanographic conditions and sediment type all have major roles to play, but their interaction is far from well understood. One of the problems to be addressed is the lack of a comprehenisve and focussed data synthesis with which to derive and test models of slope behaviour. A promising way in which this shortfall could be rectified would be to combine selected parts of the extensive survey database acquired by the telecommunications industry in it search for suitable pathways in which to lay earlier copper-core and now more recently, fibre-optic cable systems. These data would be interpreted in conjunction with a rigorous analysis of the industry's historical cable fault database which provides parameters of naturally occuring cable failures (through sediment failure, for example). Together these data will provide an understanidng of the geological characteristics of key parts of the European shelf, underpinned with the statistics of active slope processes over the most recent decades. The benefits of such a synthesis to both the telecommunications and hydrocarbon industries cannot be overstated.

The Kahramanmaras landslide inventory shapefile contains polygons representing landslide areas in Kahramanmaras province, Turkey up to July 2023. It provides valuable data for analysing the spatial distributions, size, and characteristics of pre- and co-seismic landslides in this region.