The purpose of this digital dataset is to provide accurate mapping of the distribution of sea-bed sediment types. Sea-bed sediments can only be mapped offshore, where the most recent deposits commonly form a veneer or superficial layer of unconsolidated material on the sea-bed. The dataset is produced for use at 1:250,000 scale. The boundaries between sediment classifications or types are delineated using sample station particle size analyses and descriptions, seafloor topography derived from shallow geophysical data and where available multibeam bathymetry and backscatter and side scan sonar profiles. The sediment types present on the sea-bed are of importance to a range of groups, including marine habitat mappers, marine spatial planners, the offshore construction and development sector, and the dredging and aggregate industries. These groups require detailed information on the nature of the sea-bed, including the sediment types present. The DiGSBS250k 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 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.
Indexes and data records for Regional gravity observations on the UK mainland, Northern Ireland, offshore islands, tidal estuaries and seabed. Records include station identities, position, gravity reading and reduced gravity values. Most of the surveys were carried out by the BGS but the database includes data originally acquired by other organisations and subsequently given to the BGS to be managed as part of the national archive. Complete coverage of the UK mainland with a station density of 1-2 stations per square kilometre.
A 30-year (1971-2000) temperature and salinity climatology is presented for surface and near-bed regions of the NW European shelf seas, with a resolution of 1/6 longitude by 1/10 latitude. The data have been extracted from the International Council for the Exploration of the Sea (ICES) data centre and supplemented by additional records from the World Ocean Data Centre (WODC). From the original data, which are irregularly distributed in space and time, the mean monthly temperature and salinity are calculated, as well as the climatic mean annual cycle. The climatology presented here is an improvement upon all existing climatologies presented in the literature for the NW European shelf; covering a wider area on a finer scale and including the surface and near-bed distribution of both temperature and salinity. Comparison of our data with existing climatologies shows good agreement, with differences occurring where our climatology is an improvement. This climatology, which will prove to be valuable to many users in the marine community will be regularly updated and made available to all users via the ICES data centre.
Highland Council Community Council boundaries.
The council, together with Scottish Natural Heritage have commissioned Consultant Landscape Architects to update the Argyll and Bute Landscape Wind Energy Capacity Study 2012. The study provides technical information which will be used to help the Council assess applications for wind energy developments and inform the development of the windfarm/wind turbine policies in the proposed Local Development Plan (LDP). The updated study was approved by the Councils Planning Protective Services and Licensing Committee on 20th September 2017.
One of four component layer of the Scottish wildness map. This layer seeks to capture ruggedness: 'landform which is rugged, or otherwise physically challenging' (Annex 1 SNH policy statement). The dataset is on a scale of 1-256 indicating relative levels of ruggedness. Consequently the data is best viewed at a national or regional scale. The methodology is adapted from the 2008 Wildness Study in the Cairngorms National Park.
This dataset combines all available field data for upland habitat impact assessment (HIA) survey work commissioned by SNH between 2004 and 2018 using the methods described in (Macdonald et al 1998). Data collation was carried out by Edward Wilson as part of the review of deer data Project 017079 managed by Jenny Bryce of the Wildlife Management Activity Team. The aim was to bring together all the available into a corporate dataset, standardise and clean the data and make it accessible for internal and external use. It should be used as the primary source of HIA data as it supersedes (through data cleansing) the data held in spreadsheets. Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey. The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets. Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946). Survey data split into 8 separate layers based on the contents of the field forms used for collection: Blanket bog Dwarf shrub and heath Flushes U7 - U13 Snowbeds Scrub Smooth grassland Tall herbs Wind-clipped heath Explanation of attributes can be found in the HIA_attributes spreadsheet. Additional surveys will be added at irrgeular intervals.
LNRs are established in a variety of locations with very varied habitats and species. They must lie wholly within the area of jurisdiction of the local authority which declares them to be reserves. Prior to such declaration, the local authority must own or lease the site or obtain an agreement from the owner. LNRs are generally smaller than NNRs and closer to centres of population. They are frequently provided for the enjoyment and education of local people whose involvement in site management is encouraged.
Localities used in the Corporate Address Gazetteer for the generation of addresses