The Marine Hard Substrate dataset maps areas of rock or hard substrate outcropping or within 0.5m of the sea-bed. The interpretation was based on a variety of data sourced from within the British Geological Survey and externally. Data consulted includes archive sample and seismic records, side scan sonar, multibeam bathymetry and Olex datasets. The distribution of hard substrate at the seabed, or within 0.5 m is important in dictating the benthic assemblages found in certain areas. Therefore, an understanding of the distribution of these substrates is of primary importance in marine planning and designation of Marine Conservation Zones (MCZs) under the Marine and Coastal Access Act, 2009. In addition, a number of other users will value these data, including marine renewable companies, aggregate companies, the fishing and oil and gas industries. In order to address this issue it was necessary to update British Geological Survey sea-bed mapping to delineate areas where rock, boulders or cobbles are present at, or within 0.5m of the sea-bed surface. A polygon shape file showing areas of rock or hard substrate at, or within 0.5m of the sea-bed has been developed. The dataset has been created as vector polygons and are 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 map sheet: 1. Peuplement et occupation de l'espace - Stages of migration and land use = Tahap penyebaran penduduk dan pemukiman daerah : Lampung (Sumatera) 1905-1985. Scale of 1:250 000. Date of publication: 1987.

Geographical database that was used to create the Atlas of endemics of the Western Ghats: distribution of tree species in the evergreen and semi-evergreen forests. There are 352 endemic tree species present in the database spreaded over around 2500 locations, More information about the database is available at http://www.ifpindia.org/ecrire/upload/digital_database/Site/Endemic_Tree_Species/html/main.htm. We have migrated the database into DataManager during the Pl@ntGhats project.

One mosaic of 6 map sheets: 1. Forest map of South India : Bangalore-Salem. Scale of 1:250 000. Date of publication: 1992. 2. Forest map of South India : Belgaum-Dharwar-Panaji. Scale of 1:250 000. Date of publication: 1997. 3. Forest map of South India : Coimbatore-Thrissur. Scale of 1:250 000. Date of publication: 2002. 4. Forest map of South India : Mercara-Mysore. Scale of 1:250 000. Date of publication: 1997. 5. Forest map of South India : Shimoga. Scale of 1:250 000. Date of publication: 1997. 6. Forest map of South India : Thiruvananthapuram-Tirunelveli. Scale of 1:250 000. Date of publication: 1997.

One mosaic of 7 map sheets: 1. IV - Geological map of Ogaden : Degahbour. Scale of 1:250 000. Date of publication: 1974. 2. IV - Geological map of Ogaden : Duhun. Scale of 1:250 000. Date of publication: 1974. 3. IV - Geological map of Ogaden : Gode. Scale of 1:250 000. Date of publication: 1974. 4. IV - Geological map of Ogaden : Godere. Scale of 1:250 000. Date of publication: 1974. 5. IV - Geological map of Ogaden : Imi. Scale of 1:250 000. Date of publication: 1974. 6. IV - Geological map of Ogaden : Kebri-Dahar. Scale of 1:250 000. Date of publication: 1974. 7. IV - Geological map of Ogaden : Mustahil. Scale of 1:250 000. Date of publication: 1974.

Confidence in the depth to seabed, produced by EMODnet Seabed Habitats for the 2016 EUSeaMap broad-scale predictive habitat maps. Values are on a range from 1 (Low confidence) to 3 (High confidence). The EMODnet Bathymetry project was the source of the depth to the seabed dataset (a digital elevation model (DEM). The project also produced a ‘quality indicator’ based on data relative age, relative sampling effort and number of soundings. The quality indicator scores were categorised into "high", "moderate" and "low" confidence. Detailed information on the confidence assessment is in Populus J. et al 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer. http://doi.org/10.13155/49975

REGIS stands for REgionaal Geohydrologisch InformatieSysteem, which is the National hydro-geological model for the Netherlands. Version II.1 is an extension and revision of the hydro-geological model version II.0 (REGIS II). REGIS has been developed by TNO, the Geological Survey of the Netherlands in cooperation with RIZA (the national water office) and the Provincial authorities. The hydro-geological model is a digital model of the upper part of the Dutch subsurface to a depth of approximately 500 meters. Using ESRI grids and shapefiles, the model shows the depth, thickness and hydraulic properties of hydro-geological units as well as the location of faults. A hydro-geological unit is a unit defined using texture, structure and soil type having (more or less) uniform hydrogeological properties bounded by facies-layers, erosion boundaries and faults. The hydrogeological model is based on the Digital Geological Model (DGM) and the shallow subsurface lithostratigraphical Nomenclature version 1.0 which is available through www.dinoloket.nl

The Land Capability Classification for Agriculture has as its objective the presentation of detailed information on soil, climate and relief in a form which will be of value to land use planners, agricultural advisers, farmers and others involved in optimising the use of land resources. The classification ranks land on the basis of its potential productivity and cropping flexibility determined by the extent to which its physical characteristics (soil, climate and relief) impose long term restrictions on its agricultural use. THE CLASSES Class 1. Land capable of producing a very wide range of crops with high yields Class 2. Land capable of producing a wide range of crops with yields less high than Class 1. Class 3. Land capable of producing good yields from a moderate range of crops. Class 4. Land capable of producing a narrow range of crops. Class 5. Land suited only to improved grassland and rough grazing. Class 6. Land capable only of use as rough grazing. Class 7. Land of very limited agricultural value. THE DIVISIONS A division is a ranking within a class. As the requirements of the crops suited to Classes 1 and 2 are fairly stringent, land in these classes has inherently low degrees of internal variability and no divisions are present. The requirements of crops grown in the remaining classes are less rigorous, consequently land included is more variable in character.

Confidence in the full output of the 2016 EUSeaMap broad-scale predictive model, produced by EMODnet Seabed Habitats. Values are on a range from 1 (Low confidence) to 3 (High confidence). Confidence is calculated by amalgamating the confidence values of the underlying applicable habitat descriptors used to generate the habitat value in the area in question. Habitat descriptors differ per region but include: Biological zone Energy class Oxygen regime Salinity regime Seabed Substrate Riverine input Confidence in habitat descriptors are driven by the confidence in the source data used to determine the descriptor, and the confidence in the threshold/margin (areas closer to a boundary between two classes will have lower confidence). For each grid cell, the confidence in final habitat class was the minimum of all relevant habitat descriptor confidence scores. Confidence values are also available for each habitat descriptor and input data layer. It is important to note that a habitat type confidence score is only relevant to that particular level of the classification system. For example, a cell of A3.1 high energy infralittoral rock with ‘low’ energy class confidence, ‘moderate’ biozone confidence and ‘high’ substrate type confidence would have an overall ‘low’ confidence. However, moving up the hierarchy to EUNIS level two (A3 infralittoral rock) removes the energy class; therefore, the confidence of the EUNIS level two habitat type would only consider the ‘moderate’ biozone confidence and ‘high’ substrate type confidence, resulting in an overall ‘moderate’ confidence. For details on methodology see: Populus J. And Vasquez M. (Eds), 2017. EUSeaMap, a European broad-scale seabed habitat map. Ifremer Available from: http://archimer.ifremer.fr/doc/00388/49975/

Data identifying landscape areas (shown as polygons) attributed with geological names. The scale of the data is 1:250 000 scale providing a generalised geology. Onshore coverage is provided for all of England, Wales, Scotland and the Isle of Man. Data are supplied as two themes: bedrock and linear features (faults), there is no superficial, mass movement or artificial theme available onshore at this scale. Bedrock geology describes the main mass of solid rocks forming the earth's crust. Bedrock is present everywhere, whether exposed at surface in outcrops or concealed beneath superficial deposits or water bodies. Geological names are based on the lithostratigraphic or lithodemic hierarchy. This means rock bodies are arranged into units based on rock-type and geological time of formation. Where rock-types do not fit into the lithostratigraphic scheme, for example intrusive, deformed rocks subjected to heat and pressure resulting in new or changed rock types; then their classification is based on their rock-type or lithological composition. This assesses visible features such as texture, structure, mineralogy. Data identifying linear features (shown as polylines) represent geological faults at the ground or bedrock surface (beneath superficial deposits). Geological faults occur where a body of bedrock has been fractured and displaced by large scale processes affecting the earth's crust (tectonic forces). The faults theme defines geological faults (shown as polylines) at the ground or bedrock surface (beneath superficial deposits). The data are available in vector format (containing the geometry of each feature linked to a database record describing their attributes) as ESRI shapefiles and are available under BGS data licence.