A collection of 1:250 000 scale geophysical maps in the Universal Transverse Mercator (UTM) projection, covering the United Kingdom and continental shelf areas between 1975 – 1990. Mapping is divided into squares which cover 1 degree by 1 degree of latitude / longitude. A geophysical map is a graphical representation of data collected through various geophysical methods to investigate the subsurface characteristics of the Earth. Geophysics is the study of the physical properties and processes of the Earth using measurements of physical quantities such as gravity, magnetic fields, seismic waves, electrical resistivity, and others. The collection includes aeromagnetic anomaly maps (1975 – 1990), Bouguer gravity anomaly maps (1975 – 1989) and a small number of free air anomaly maps (1981 – 1989). These maps are hard-copy paper records stored in the National Geoscience Data Centre (NGDC) and are delivered as digital scans through the BGS website.

This dataset is part of the Geographical repository maintained by Opendatasoft. This dataset contains data for regions in the United Kingdom.Government offices for the regions (GOR) were established across England in 1994. Reflecting a number of government departments, their aim was to work in partnership with local people and organisations in order to maximise prosperity and the quality of life within their area. In 1996 the GORs became the primary classification for the presentation of regional statistics. GORs were built up of complete counties/unitary authorities, so although they were subject to change, they always reflected administrative boundaries as at the end of the previous year. Scotland, Wales and Northern Ireland were not subdivided into GORs but are listed with them as regions in UK-wide statistical comparisons. After the Comprehensive Spending Review, it was confirmed that the GORs would close on 31 March 2011, shifting focus away from regions to local areas. However, there is still a requirement to maintain a region-level geography for statistical purposes. Processors and tools are using this data.EnhancementsAdd ISO 3166-3 codes.Simplify geometries to provide better performance across the services.Add administrative hierarchy.

This dataset comprises 2 collections of maps. The facsmile collection contains all the marginalia information from the original map as well as the map itself, while the georectified collection contains just the map with an associated index for locating them. Each collection comprises approximately 101 000 monochrome images at 6-inch (1:10560) scale. Each image is supplied in .tiff format with appropriate ArcView and MapInfo world files, and shows the topography for all areas of England, Wales and Scotland as either quarter or, in some cases, full sheets. The images will cover the approximate epochs 1880's, 1900's, 1910's, 1920's and 1930's, but note that coverage is not countrywide for each epoch. The data was purchased by BGS from Sitescope, who obtained it from three sources - Royal Geographical Society, Trinity College Dublin and the Ordnance Survey. The data is for internal use by BGS staff on projects, and is available via a customised application created for the network GDI enabling users to search for and load the maps of their choice. The dataset will have many uses across all the geoscientific disciplines across which BGS operates, and should be viewed as a valuable addition to the BGS archive. There has been a considerable amount of work done during 2005, 2006 and 2007 to improve the accuracy of the OS Historic Map Collection. All maps should now be located to +- 50m or better. This is the best that can be achieved cost effectively. There are a number of reasons why the maps are inaccurate. Firstly, the original maps are paper and many are over 100 years old. They have not been stored in perfect condition. The paper has become distorted to varying degrees over time. The maps were therefore not accurate before scanning. Secondly, different generations of maps will have used different surveying methods and different spatial referencing systems. The same geographical object will not necessarily be in the same spatial location on subsequent editions. Thirdly, we are discussing maps, not plans. There will be cartographic generalisations which will affect the spatial representation and location of geographic objects. Finally, the georectification was not done in BGS but by the company from whom we purchased the maps. The company no longer exists. We do not know the methodology used for georectification.

This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).

The UKSeaMap Predictive Habitats Map 2025 (version 1) is a broad-scale prediction that uses physical models of depth, light, sediment and energy to predict the physical seabed habitats for the whole UK seabed. This map covers the UK extended Continental Shelf as defined by the Continental Shelf (Designation of Areas) Order 2013, but excluding the intertidal zone, Dee Estuary and Morecambe Bay.

Two habitat classification systems are present in the final output:

EUNIS habitat classification system version 2007-11 The Marine Habitat Classification for Britain and Ireland (https://mhc.jncc.gov.uk/) version 22.04 The attribute table includes a column for each of level 2, level 3 and level 4 of each of these two classification schemes. In some cases, there were 2-3 options of habitat type, which were both included and separated by the word “OR“. There is also a column containing the most detailed unique habitat type for each of the two classification systems.

The habitats were determined by combining 4 categorical input layers called 'habitat descriptors', which are the basis for describing physical habitats in the Marine Habitat Classification for Britain and Ireland. These are also present in the geodatabase.

Habitat descriptor data layers:

Seabed substrate type - created using the British Geological Survey's national broad-scale predictive sediment map - Marchant et al. (2025) and the JNCC-BGS-Cefas national broad-scale predictive rock map (JNCC, 2019) Biological zone (also known as biozone) - created using the depth to seabed, wave disturbance at the seabed and amount of light reaching the seabed. Kinetic energy at the seabed - created using energy from tidal currents and energy from waves Salinity regime - created using the Annex I Habitats Regulations datasets for coastal lagoons and estuaries features A methods report will be published in due course.

The UKSeaMap Predictive Map forms part of the UK Atlas of Seabed Habitats (UKASH), a suite of mapping products, offering the most complete characterisation of seabed habitats in the UK in the Marine Habitat Classification for Britain and Ireland and the European standard classification system, EUNIS. UKASH is composed of:

UKASH Library of Localised Maps: A standardised collection of individual, ground-truthed habitat maps from various sources. UKASH Mosaic of Localised Maps: A unified, non-overlapping map product that prioritises the most reliable maps from the UKASH Library of Localised Maps. UKSeaMap Predictive Map: A seamless, full-coverage predictive map of physical seabed habitats in the UK. UKASH Combined Map: The UKASH Mosaic of Localised Maps, with gaps filled by the UKSeaMap Predictive Map.

Further info: https://jncc.gov.uk/our-work/uk-atlas-of-seabed-habitats-ukash/#ukseamap

profil.AT 3.02 serves as the basis for ensuring a uniform description of the content, origin, spatial reference, access, quality, terms of use, attributes, etc. of geographical resources in Austria. Resources are referred to as data sets, data series, spatially located documents, applications or geographical services (e.g. Open Geospatial Web Map Services [OGC WMS]). profil.AT 3.02 describes the subset of metadata elements extracted from the current (2016) requirements of the INSPIRE Directive 2007 after a demand survey in Austria and a comparison with the requirements. In order to ensure an ambivalent interpretation of this profile adapted to ON/EN/ISO 19115, a reference to the corresponding assignment in ON/EN/ISO 19110, ON/EN/ISO 19119, ON/EN/ISO 19139 and the cross reference to the whitepaper OGD metadata v2.3 is shown.

THIS DATASET HAS BEEN WITHDRAWN and superseded by UK Gridded Population 2011 based on Census 2011 and Land Cover Map 2015 (https://catalogue.ceh.ac.uk/id/0995e94d-6d42-40c1-8ed4-5090d82471e1). This dataset contains gridded population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2007 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies . While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2011 UK Census population data on Output Area level with Land Cover Map 2007 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).

In some cases, a full-coverage map displaying the best available data everywhere at the expense of consistency is required. The production of such a product showing EUNIS level 3 habitats requires integrating EUNIS level 3 seabed habitat data from fine and broad-scale habitat maps. The product aims to create a complete map that presents the best available information on the distribution of EUNIS level 3 habitats at any locations in UK waters. This data product is required for, among other things, assessments of progress towards networks of marine protected areas (MPAs) and marine spatial planning in the UK.

The aim was to produce a single map layer displaying the best quality EUNIS level 3 data for any given location. Furthermore, the process for producing the layer needed to be:

â ¢ Repeatable; â ¢ Transparent; â ¢ Easy to explain and understand; â ¢ Objective; â ¢ Fully documented; â ¢ Appropriate for EUNIS level 3 habitats; and, â ¢ Appropriate for the UK intertidal and subtidal areas

Any location would show only a single value describing the habitat at EUNIS level 3, i.e. no overlapping polygons leading to multiple possible values at a location. The data at any location should be the best available to describe the EUNIS level 3 habitat type (i.e. the most likely to be correct). EUNIS level 3 habitats (Appendix 1) describe physical habitats classified using biologically meaningful parameters â substrate type, and additionally for rock: energy and biological zone. Therefore, a method was created to choose data based on their ability to describe these physical variables.

Spatial signatures characterise space based on form and function in a way designed to understand urban environments. This data product, part of the Urban Grammar project, contains a typology of spatial signatures in Great Britain. Each type has a distinct character capturing what the place looks like (form) and how it is used (function). The data product contains bespoke Signature geometry with signature type, summary of input variables per each geometry and per each type, interpolation of signature types to OA and LSOA geometry and short pen portraits for the typology, shorthand descriptions of the characteristics of each signature type. The interactive map showing the typology is available at https://urbangrammarai.xyz/great-britain/. More details about the project can be found at the project website https://urbangrammarai.xyz.

This is a web map view service for the Integrated Hydrological Units (IHU) of the United Kingdom. The IHU define geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection in the UK. The layers in this service represent the following component polygon layers: Hydrometric Areas with Coastline; Hydrometric Areas without Coastline; Groups; Sections; and Catchments. Each layer represents a different level of spatial detail. The coarsest level, Hydrometric Areas, is provided in two versions to meet differing user needs. Each Hydrometric Area is made up of one or more Groups. Each Group carries a name constructed from names of the major river flowing through the Group, the major river flowing into the Group, the major river into which the Group flows, and in some cases also from local county names. Each Group is made up of smaller units called Sections. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Similarly to Groups, each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Catchments represent the full area upstream from an outlet of every Section. Polygons within each layer do not have gaps and, with the exception of Catchments, polygons within one layer do not overlap. There are scale dependencies on this web map service which means that the Sections and Catchments layers are visible only at scales less than 1:250,000. The Hydrometric Areas with Coastline layer covers Great Britain and Northern Ireland, but all other layers currently cover Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.

As one of our range of backdrop mapping products, Ordnance Survey's 1:25 000 Scale Colour Raster is backdrop map data of our popular OS Explorer Map series for outdoor activities.

It provides a scanned image of OS Explorer Map that can be used with other data in a geographical information system (GIS) to visualise your own information within a geographical context.

Strategi is detailed digital map data, ideal for applications requiring an overview of geographical information on England, Scotland and Wales. It is derived from the Ordnance Survey 1:250 000 scale topographic database and provides mapping for applications requiring a regional overview.

Geographical features within Strategi are represented as vector (point and line) data, enabling you to link your business information to relevant features on the map for planning purposes and statistical analysis.

Broadscale habitat confidence for Bassurelle Sandbank SCI (CEND 03/13). MESH confidence score for the newly produced habitat map of Bassurelle Sandbank SCI. The technical quality of the habitat map was assessed using the MESH �Confidence Assessment? Tool, originally developed by an international consortium of marine scientists working on the MESH (Mapping European Seabed Habitats) project. This tool considers the provenance of the data used to make a biotope/habitat map, including the techniques and technology used to characterise the physical and biological environment and the expertise of the people who had made the map. Both physical and biological survey data are required to achieve the top mark of 100, but as the current assessment process requiredthe mapping of only physical habitats, not biotopes, it excludedbiological data. In the absence of biological data, the maximum score attainable for a perfect physical map is 82. This map attained a score of 79. In applying the tool to the current work, none of the weighting options were altered; that is, the tool was applied in its standard form, as downloaded from the internet. (http://www.searchmesh.net/default.aspx?page=1635).

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Data OriginThe dataset provided by Ofwat is rooted in legal records. The dataset is digitised from the official appointments of companies as water and sewage undertakers, which include legally binding documents and maps. These documents establish the specific geographic areas each water company is responsible for. The dataset was sourced from Constituency information: Water companiesData TriageAnonymisation is not required for this dataset, since the data is publicly available and focuses on geographical boundaries of water companies rather than individual or sensitive information. The shapefile serves a specific purpose related to geospatial analysis and regulatory compliance, offering transparent information about the service areas of different water companies as designated by Ofwat.Further ReadingBelow is a curated selection of links for additional reading, which provide a deeper understanding of the water company boundaries datasetOfwat (The Water Services Regulation Authority): As the regulatory body for water and wastewater services in England and Wales, Ofwat's website is a primary source for detailed information about the water industry, including company boundaries.Data.gov.uk: This site provides access to national datasets, including the Water Resource Zone GIS Data (WRMP19), which covers all water resource zones in England. This dataset is crucial for understanding geographical boundaries related to water management.Water UK: As a trade body representing UK water and wastewater service providers, Water UK's website offers insights into the industry's workings, including aspects related to geographical boundaries.Specifications and CaveatsWhen compiling the dataset, the following specifications and caveats were made:This shapefile is intended solely for geospatial analysis. The authoritative legal delineation of areas is maintained in the maps and additional details specified in the official appointments of companies as water and/or sewerage undertakers, along with any alterations to their areas.The shapefile does not encompass data on any structures or properties that, despite being outside the designated boundary, are included in the area, or those within the boundary yet excluded from the area.In terms of geospatial analysis and visual representation, the Mean High Water Line has been utilized to define any boundary extending into the sea, though it's more probable that the actual boundary aligns with the low water mark. Furthermore, islands that are incorporated into the area might not be included in this representation.Ofwat’s data was last updated on 25th May 2022Contact Details If you have a query about this dataset, please email foi@ofwat.gov.uk

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in South Sudan. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

Topographic Satellite Image Map Dronning Maud Land (Landsat MSS and NOAA AVHRR); Satellite imagery mosaic compiled from Landsat-2, -4 and -5 data and from NOAA AVHRR digital mosaic of National Remote Centre, Farnborough (UK, 1988) where Landsat data was not available; Coast line, Ice front and Grounding line taken from SCAR Antarctic Digital Database, Version 1.0 (1993); Digital Elevation Model (DEM) from ERS-1 waveform data; Positions of automatic weather stations provided by Van de Wal, Institute for Marine and Atmospheric Esearch, Utrecht (NL); Positions of EPICA survey sites 1995-1998 provided by Alfred-Wegener-Institut, Bremerhaven (DE), British Antarctic Survey, Cambridge (UK), Norsk Polarinstitutt, Oslo (NO), Stockholm University (SE); ; Inset maps: Location diagram, List of English equivalents of German, Norwegian and Russian generic terms; Geographical names on the map are used in their original language according to guidelines relating to historical priority; Scale: 1:2000000;Projection: Polar Stereographic; Bounding Box: POLYGON ((-19 -69, 21 -69, 39 -78, 0 -80.5, -36 -78.5, -19 -69));Datum: OSU-91A geoid

One of the two datasets that make up the Priority River Habitat Map. Consists of rivers and streams that exhibit a high degree of naturalness. The naturalness classification used to map priority river habitat is based on recent work to review the river SSSI series. It evaluates four main components of habitat integrity: hydrological, physical, physico-chemical (water quality) and biological. An additional classification of the naturalness of headwaters (defined as streams with a catchment area of <10km2 to coincide with WFD typology boundaries) uses land cover data as a surrogate for direct information on river habitat condition (information which is generally lacking on headwaters). Streams and rivers operating under natural processes, free from anthropogenic impact and with a characteristic and dynamic mosaic of small-scale habitats that supports characteristic species assemblages (including priority species), are the best and most sustainable expression of river ecosystems. Key elements are: a natural flow regime; natural nutrient and sediment delivery regimes; minimal physical modifications to the channel, banks and riparian zone; natural longitudinal and lateral hydrological and biological connectivity; an absence of non-native species; low intensity fishery activities. These conditions provide the best defence against climate change, maximising the ability of riverine ecosystems to adapt to changing conditions. They also provide the most valuable and effective transitional links with other priority habitats, including lakes, mires and coastal habitats. In English rivers and streams, high levels of naturalness are rare.Full metadata can be viewed on data.gov.uk.