Benefits and key featuresUnderstand your area in detail, including the location of key sites such as schools and hospitals.Share high-quality maps of development proposals to help interested parties to understand their extent and impact.Analyse data in relation to important public buildings, roads, railways, lines and more.Present accurate information consistently with other available open data products.

In the OS NGD Boundaries Collection, the mean high water (springs) mark is shown to the normal tidal limit (NTL). Areas of salt marsh, mudflats and so on often have extremely complicated tide lines. For ease of digitising and to reduce data volumes, mean high water may be generalised in these areas (not Scotland). The mean high water (springs) mark is represented in the OS NGD Boundaries Collection by a polyline feature. The mean high water (springs) mark is subject to continuous change, but the captured alignment of a tide line is a snapshot on one day. It is not practical to revise tide lines frequently.

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https://www.ordnancesurvey.co.uk/products/boundary-line#technical

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Source:

https://osdatahub.os.uk/downloads/open/BoundaryLine

Licence:

Contains public sector information licensed under the Open Government Licence v3.0.

https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

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Introduction The dataset provides detailed information about UK Power Networks' Grid and Primary Sites. It includes key characteristics such as:

Spatial coordinates of each site Year commissioned Asset counts against each site Power transformer count Local authority information Winter and summer demand Transformer ratings

This data is useful for understanding the infrastructure and capacity of the electricity network across its regions.

Methodological Approach

Source: Various internal data domains - geospatial, asset, long term development statement; as well as openly available data from the Ordnance Survey and Office of National Statistics Manipulation: Various data characteristics were combined together using Functional Locations (FLOCs)

Quality Control Statement The data is provided "as is".

Assurance Statement The Open Data team has checked the data against source to ensure data accuracy and consistency. The data domain owners have checked their respective data aspects.

Other Contains data from Office for National Statistics licensed under the Open Government Licence v.3.0. Local Authority District (2022) to Grouped Local Authority District (2022) Lookup for EW - data.gov.ukContains Ordnance Survey data Crown copyright and database right [2019-]. Free OS OpenData Map Downloads | Free Vector & Raster Map Data | OS Data Hub

Download dataset information: Metadata (JSON)

Definitions of key terms related to this dataset can be found in the Open Data Portal Glossary: https://ukpowernetworks.opendatasoft.com/pages/glossary/

The GLA have produced a dataset that provides a more accurate estimate of the extent of the London’s green infrastructure - the city’s parks, gardens, trees, green spaces, rivers and wetlands, and features such as green roofs. The green cover layer was created by combining classified near-infrared aerial imagery (NDVI) with land use datasets and resulted in a green cover estimate for London of between 48-51 percent. The baseline is presented as a range to account for variations in the analysis of aerial imagery. The methodology is set out in the report below and a web map created to visualise the data. The final green cover layer is available to download in a geospatial format (shape files). Contains OS data © Crown copyright and database rights 2019. Contains Verisk Analytics GeoInformation Group UKMap data. NOTE: The data is based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'.

This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels). The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes.

The current counties of England are defined by the ceremonial counties, a collective name for the county areas to which are appointed a Lord Lieutenant. The office of Lord Lieutenant was created in the reign of Henry VIII. The Lord Lieutenant is the chief officer of the county and representative of the Crown. Whenever the Queen visits an area she will be accompanied by the Lord Lieutenant of that area. Legally the ceremonial counties are defined by the Lieutenancies Act 1997 as ‘Counties and areas for the purposes of the lieutenancies in Great Britain’ with reference to the areas used for local government.

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https://www.ordnancesurvey.co.uk/products/boundary-line#technical

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Source:

https://osdatahub.os.uk/downloads/open/BoundaryLine

Licence:

Contains public sector information licensed under the Open Government Licence v3.0.

https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

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This spatial dataset is an output of the Natural England County & City Natural Capital Atlas project (July 2020). It shows variation in ecosystem service flow for habitats across England, based on indicators identified by NE in the 2018 Natural Capital Indicators project. The dataset comprises a hexagonal grid which summarises indicator values across the country (each unit = 5km²).

Natural Capital is an important aspect of current environmental policy and management. This dataset, in combination with the other project outputs, will support understanding of Natural Capital in England and serve as a valuable engagement tool to communicate concepts of the Natural Capital approach to a wide variety of stakeholders.

For full methodology and user guide see documents ‘NCAtlas_Devon’ and ‘NC-Mapping-User-Guidance’ at http://publications.naturalengland.org.uk/publication/6672365834731520.

For full metadata documentation see the data package download below.

Copyright statement: LCM2015 © NERC (CEH) 2011. Contains Ordnance Survey data © Crown Copyright 2007. © Defra. Contains Defra information © Defra - Project MB0102. © Environment Agency. © Forestry Commission. © Historic England [year]. © Joint Nature Conservation Committee. © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains data supplied by © NERC - Centre for Ecology & Hydrology. © Natural England copyright. Natural England Licence No. 2011/052 British Geological Survey © NERC, all rights reserved, © NSRI Cranfield University. Contains National Statistics data © Crown copyright and database right [year]. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains Rural Payments Agency. © Barnsley Metropolitan Borough Council. © Bath & North East Somerset Council. © Bedford Borough Council. © London Borough of Bexley. © Birmingham City Council. © Blackburn with Darwen Borough Council. © Blackpool Council. © Bolton Council. © BCP Council. © Bracknell Forest Council. © City of Bradford Metropolitan District Council. © Brighton & Hove City Council. © Bristol City Council. © London Borough of Bromley. © Buckinghamshire County Council. © Bury Council. © Calderdale Council. © Cambridgeshire County Council. © Central Bedfordshire Council. © Cheshire East Council. © Cheshire West and Chester Council. © Cornwall Council. © Cumbria County Council. © Derbyshire County Council. © Devon County Council. © Doncaster Council. © Dorset Council. © Dudley Metropolitan Borough Council. © Durham County Council. © East Riding of Yorkshire Council. © East Sussex County Council. © Essex County Council. © Gateshead Council. © Gloucestershire County Council. © Hampshire County Council. © Herefordshire Council. © Hertfordshire County Council. © Hull City Council. © Isle of Anglesey County Council. © Isle of Wight Council. © Kent County Council. © Kirklees Council. © Knowsley Metropolitan Borough Council. © Lake District National Park. © Lancashire County Council. © Leicester City Council. © Leicestershire County Council. © Lincolnshire County Council. © Manchester City Council. © Medway Council. © Norfolk County Council. © North Lincolnshire Council. © North Somerset Council. © North Yorkshire County Council. © Northamptonshire County Council. © Northumberland County Council. © Nottingham City Council. © Nottinghamshire County Council. © Oldham Council. © Oxfordshire County Council. © Peterborough City Council. © Plymouth City Council. © Bournemouth, Christchurch and Poole Council. © Portsmouth City Council. © Reading Borough Council. © Redcar and Cleveland Borough Council. © Rochdale Borough Council. © Rotherham Metropolitan Borough Council. © Rutland County Council. © Salford City Council. © Sefton Council. © Sheffield City Council. © Shropshire Council. © Slough Borough Council. © Somerset County Council. © South Gloucestershire Council. © Southampton City Council. © St Helens Council. © Staffordshire County Council. © Stockport Metropolitan Borough Council. © Stockton Council. © Suffolk County Council. © Surrey County Council. © Tameside Metropolitan Borough Council. © Thurrock Council. © Torbay Council. © Trafford Council. © Wakefield Council. © Walsall Council. © Warrington Borough Council. © Warwickshire County Council. © West Berkshire Council. © West Sussex County Council. © Wigan Council. © Wiltshire Council. © Royal Borough of Windsor and Maidenhead Council. © Wirral Council. © Wokingham Borough Council. © Worcestershire County Council. © City of York Council.

Parishes are subdivisions of local authorities in many parts of England, and their councils are the most local level of government. Unlike electoral wards/divisions however, parishes are not found in all parts of England. The Welsh equivalents are communities. Note that the full term for administrative parishes is 'civil parishes', to distinguish them from the ecclesiastical parishes which are found in all parts of the UK.

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https://www.ordnancesurvey.co.uk/products/boundary-line#technical

​

Source:

https://osdatahub.os.uk/downloads/open/BoundaryLine

Licence:

Contains public sector information licensed under the Open Government Licence v3.0.

https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

This data shows the counties and unitary authorities of Great Britain for 2012. The attached Layer File can be used to symbolise the different types of boundaries (Non-Metropolitan Counties/Metropolitan Counties/Unitary Authorities/Council Areas/Greater London). A JPEG image of the map is also contained in the download. This dataset was made from the OS OpenData Boundary Line product: http://www.ordnancesurvey.co.uk/oswebsite/products/boundary-line/index.html. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-05-10 and migrated to Edinburgh DataShare on 2017-02-21.

The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2-km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. The model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project 'Detection and Attribution of Regional Emissions (DARE-UK)'. There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate.

This file contains the digital vector boundaries for Travel to Work Areas in the United Kingdom as at December 2011. The boundaries available are: Super generalised (200m) - clipped to the coastline (Mean High Water mark)Contains both Ordnance Survey and ONS Intellectual Property Rights. Download File SizesSuper generalised (200m) - clipped to the coastline (1 MB)REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Travel_to_Work_Areas_(Dec_2011)_SGCB_in_United_Kingdom/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Travel_to_Work_Areas_Dec_2011_SGCB_in_United_Kingdom/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Travel_to_Work_Areas_Dec_2011_SGCB_in_United_Kingdom_2022/FeatureServer

A Site of Special Scientific Interest (SSSI) is the land notified as an SSSI under the Wildlife and Countryside Act (1981), as amended. Sites notified under the 1949 Act only are not included in the Data set. SSSI are the finest sites for wildlife and natural features in England, supporting many characteristic, rare and endangered species, habitats and natural features. The data do not include "proposed" sites. Boundaries are generally mapped against Ordnance Survey MasterMap.

Scottish Parliamentary Constituencies and Regions define the electoral areas used to return members to the Scottish Parliament. There are 73 constituencies, each electing one Member of the Scottish Parliament (MSP), and 8 regional constituencies each electing an additional seven MSPs. The total number of parliamentary seats is 129. Boundaries Scotland is responsible for recommendations on the definition of constituency and region boundaries, however, the definitive dataset is delineated by Ordnance Survey for inclusion in their BoundaryLine product.

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https://www.ordnancesurvey.co.uk/products/boundary-line#technical

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Source:

https://osdatahub.os.uk/downloads/open/BoundaryLine

Licence:

Contains public sector information licensed under the Open Government Licence v3.0.

https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/

​

OverviewNatural England and the Environment Agency have collaborated to produce a seagrass layer for English waters, which aims to provide a comprehensive geospatial dataset of surveys of both current and historical spatial seagrass. The layer identifies a current seagrass extent; using the best and most recent available evidence and agreed by both organisations.These datasets have been provided by NE and the EA, as well as a number of third parties. Details of these third parties can be found in the accompanying metadata file.CaveatsThere are two genera of seagrass present in English waters: Ruppia sp. and Zostera sp. Commonly the use of ‘seagrass’ only refers to Zostera sp. (also known as Eelgrass). However, this dataset includes both Ruppia sp. and Zostera sp. If using the layer file, Ruppia sp. are identified by differing symbology. In the raw attribute data, Ruppia sp. and Zostera sp. can be distinguished using the EUNIS codes in the HAB_TYPE field.Seagrass data is only available where and when surveys have been carried out. Therefore, absence of seagrass in a specific year does not necessarily indicate that seagrass was not present, it may simply mean that no survey was completed that year. Similarly, there may be locations where seagrass is present, but has not been surveyed, and therefore is not represented in this dataset, such as the Medway Estuary.The seagrass layer only includes polygon data. There may be additional seagrass habitats which only have point data available, these are not included in the seagrass layer.Identified polygon extents may be affected by survey method. For example, a walking survey may not collect data below a certain depth, and a DDV survey from a boat may not collect data above a certain depth. A survey method field is included in the data, to ensure this can be accounted for.As data is collected from/using a variety of sources and methods the accuracy of the data varies. A data confidence field is supplied to provide an indication of confidence in the data accuracy. Confidence categories are assigned based on expert judgement and local knowledge. Some historical data has a particularly low confidence and may be assigned with a category of ‘presence only’. Polygons with this confidence should only be used to identify previous seagrass presence, they should not be used to identify previous seagrass extent.MetadataThis dataset contains a collation of current and historic seagrass data by Natural England and the Environment Agency. This includes data collected or commissioned by Natural England, the Environment Agency, or provided by third parties that have allowed their data to be republished under the Open Government Licence (OGL). The dataset identifies a current extent of seagrass which used the best available evidence and has been agreed by both Natural England and the Environment Agency. Before carrying out any analyses using this layer, the associated README file, which provides a list of dataset caveats, should be read. Seagrass beds are an important resource for both carbon storage and biodiversity. They are a designated feature in a number of Marine Protected Areas, used to inform ecological assessment as part of the Water Framework Directive, and are the focus of habitat restoration schemes such as the LIFE Recreation ReMEDIES project.This dataset contains records that qualify as open and therefore can be published under the Open Government Licence (OGL). These records are extracted and collated from the Environment Agency Seagrass Database and Natural England Marine Evidence Base (MEB), is a collated database of both NE and 3rd party surveys. All non-seagrass habitats are excluded from the Seagrass Layer, and datasets are clipped to English waters only. The Environment Agency WFD Areas dataset is used identify which area each seagrass bed lies within. Extraction of data from the NE Marine Evidence Base is based on the dataset identifier, access limitations and data owner as defined within the Marine Metadatabase to ensure that only open datasets are included in the open version. A full list of the survey datasets used in the production of this dataset can be found in the Survey Metadata sheet included with the download.Attribution Statement: © Natural England © Environment Agency. Contains Ordnance Survey data © Crown copyright and database right 2022 Contains data from © Joint Nature Conservation Committee © North Eastern Inshore Fisheries & Conservation Authority 2017 © Yorkshire Wildlife Trust © Cornwall County Council © Harwich Haven Authority.The MAGiC version also includes data not included in the download file from © Hampshire and Isle of Wight Wildlife. Full metadata can be viewed on data.gov.uk.

The LIDAR DTM (Digital Terrain Model) Time Stamped Tiles product is an archive of raster elevation data produced by the Environment Agency. Site specific LIDAR surveys have been carried out across England since 1998, with certain areas, such as the coastal zone, being surveyed multiple times. Data is available at varying resolutions of 25cm, 50cm, 1m and 2m, depending on project requirements.

The DTM (Digital Terrain Model) is produced from the last return LIDAR signal. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

Available to download as GeoTiff rasters in 5km zipfiles, data is presented in metres, referenced to Ordnance Survey Newlyn and data aligned to the OS Grid. All LIDAR data has a vertical accuracy of +/-15cm RMSE. The transformation used on the data is specific to the time period of survey.

Please refer to the metadata index catalogue which show, for any location, what time stamped data is available, the specific dates of survey, resolution of product and what transformation and geoidal model used.

The Palestine Exploration Fund (PEF - http://www.pef.org.uk/) was founded in 1865 in order to promote research into the archaeology and history, manners and customs and culture, topography, geology and natural sciences of biblical Palestine and the Levant. For more info, visit The Digital Archaeological Atlas of the Holy Land Map created in 1880, by the British Ordnance Survey, as part of the "Survey of Western Palestine" (1871-1878).Data Source:Scanned maps - The National Library of Israel; Tile Mosaic & Georeferenced - Dr. Noam Levin, Department of Geography, The Hebrew University of Jerusalem.The dataset is available to download here.Map Pixel size = 5x5 mReference:Levin, N. (2006). The Palestine exploration fund map (1871–1877) of the holy land as a tool for analysing landscape changes: the coastal dunes of Israel as a case study. Cartographic Journal, The, 43(1), 45-67.

This file contains the digital vector boundaries for Grouped Lower Tier Local Authorities in England and Wales as at December 2022. The boundaries available are:Full resolution - clipped to the coastline (Mean High Water mark)Contains both Ordnance Survey and ONS Intellectual Property Rights. Download File SizesFull resolution - clipped to the coastline (47MB)

REST URL of WFS Server – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/GLTLA_DEC_2022_EW_BFC/WFSServer?service=wfs&request=getcapabilities

REST URL of Map Server – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/GLTLA_DEC_2022_EW_BFC/MapServer

REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/GLTLA_DEC_2022_EW_BFC/FeatureServer

A more sophisticated classification was developed for woodlands in Scotland due to the nature of the available historical sources. IMPORTANT. For Scottish woods, the category Ancient comprises woods recorded as being of semi-natural origin on EITHER the 1750 Roy maps OR the 1st Edition Ordnance Survey maps of 1860. This is due a) to the likelihood of the latter having been omitted from the Roy maps and b) to render the Scottish classification compatible with that for England and Wales.More information at the NatureScot websiteComplete metadata

The data shows Ordnance Survey pond locations, where they match with the surveyed location of a priority habitat pond. The location and attributes of these priority habitat ponds does not currently exists for end users, ecologists, community groups and other stakeholders. The layer will be used to identify, conserve and enhance these features.OS Ponds (taken from the MasterMap Topography layer hydrology>static water) that have a matching pond survey (Clean Water for Wildlife of Priority Ponds) (see data within this folder for these layers) within their geometry, or within 30m of their edge. proximity was created (using NEAR tool) for points and then simplified (to remove 1 to many relationship) and joined to OS polygons using FID unique value. Unnecessary OS fields have been deleted.This data was created using data from Clean Water for Wildlife of Priority Ponds Clean Water for Wildlife - Freshwater Habitats Trust under a CC-BY licence with OS MasterMap data under the PSGA licence.It is published by Natural England under the Non-Commercial Government Licence due to the quantity of OS data contained within it.Full metadata can be viewed on data.gov.uk.

The National Forest Inventory (NFI) woodland map covers all forest and woodland area over 0.5 hectare with a minimum of 20% canopy cover, or the potential to achieve it, and a minimum width of 20 metres. This includes areas of new planting, clearfell, windblow and restock. The woodland map excludes all 'tarmac' roads and active railways, and forest roads, rivers and powerlines where the gap in the woodland is greater than 20 meters wide.

All woodland (both urban and rural), regardless of ownership, is 0.5 hectare or greater in extent, with the exception of Assumed woodland or Low density areas that can be 0.1 hectare or greater in extent. Also, in the case of woodland areas that cross the countries borders, the minimum size restriction does not apply if the overall area complies with the minimum size.

Woodland less than 0.5 hectare in extent, with the expectation of the areas above, will not be described within the dataset but will be included in a separate sample survey of small woodland and tree features.

The woodland map is updated on an annual basis and the changes in the woodland boundaries use the Ordnance Survey MasterMap® (OSMM) as a reference where appropriated.

The changes in the canopy cover have been identified on: Sentinel 2 imagery taken during spring/summer 2022 or colour aerial orthophotographic imagery available at the time of the assessment; New planting information for the financial year 2021/2022, from grant schemes and the sub-compartment database covering the estate of Forestry England, Forestry and Land Scotland and Natural Resources Wales;

Woodland areas, greater than 0.5 hectares, are classified as an interpreted forest type (IFT) from aerial photography and satellite imagery. Non-woodland areas, open areas greater than 0.5 hectare completely surrounded by woodland are described according to open area types.

IFT categories are Conifer, Broadleaved, Mixed mainly conifer, Mixed mainly broadleaved, Coppice, Coppice with standards, Shrub, Young trees, Felled, Ground prep, Cloud \ shadow, Uncertain, Low density, Assumed woodland, Failed, Windblow.

IOA categories are Open water, Grassland, Agricultural land, Urban, Road, River, Powerline, Quarry, Bare area, Windfarm, Other vegetation.

For further information regarding the interpreted forest types (IFT) and the interpreted open areas (IOA) please see NFI description of attributes available on www.forestresearch.gov.uk