Reports, images, GIS and gridded products describing the Palaeozoic geology and conventional petroleum in and around the Mid North Sea High (Quadrants 25-44). Covering a large area of the Central North Sea from the Forth Approaches to the northern side of the Southern North Sea, the focus is on Devonian and Carboniferous rocks. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The datasets are applicable for use at scales between 1:750,000 to 1: 3,000,000.

Reports, images, GIS and gridded products describing the Palaeozoic geology and conventional petroleum systems of parts of the UK offshore. Devonian and Carboniferous rocks are the focus in and around the Mid North Sea High, Central North Sea, the Moray Firth and Orcadian Basin. In the greater Irish Sea area, Carboniferous rocks are described. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The datasets are applicable for use at scales between 1: 750,000 to 1: 3,000,000.

GIS versions of a regional structural summary and palaeogeographic reconstructions describing the Palaeozoic geology of parts of the UK offshore and onshore, plus a set of summary posters and a summary presentation capturing the conventional petroleum systems. Devonian and Carboniferous rocks are the focus in and around the Mid North Sea High, Central North Sea, the Moray Firth and Orcadian Basin. In the greater Irish Sea area, Carboniferous rocks are described. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The GIS layers were digitised from figures prepared for project reports and are applicable for use at scales between 1:1,000,000 and 1:3,000,000.

This record is for Approval for Access product AfA345.

The Environment Agency's (EA) Spatial Flood defences layer is the only comprehensive and up-to-date dataset in England that shows flood defences currently owned, managed or inspected by the EA.

Flood defences can be structures, buildings or parts of buildings. Typically these are earth banks, stone and concrete walls, or sheet-piling that is used to prevent or control the extent of flooding.

A defence is any asset that provides flood defence or coastal protection functions. This includes both man-made and natural defences. Natural defences may include man-made elements to make them more effective or protect them from erosion. Normally a number of assets will be used together to manage the risk in a particular area, working in combination within a risk management system.

PLEASE NOTE: This data is updated daily. This is a large dataset and depending on the chosen download format, it may take 7-8 minutes to download the full national dataset.This is a full extract from the Asset Information Management System (AIMS) where the following apply: • EA has operational powers to maintain or operate (whether or not we exercise those powers) the flood defence asset; • There is a liability on Flood and Coastal Risk Management (FCRM) for the flood defence asset; • Assets are attached to a Flood Risk Management Systems (FRMS).

This product replaces AfA006 and was changed as a result of our asset migration from NFCDD to AIMSClick Here to go straight to the DSP Metadata Page for this Dataset.

Explore the latest iteration of the Water Open Data Roadmap, a strategic blueprint designed to propel the water sector into a new era of transparency and collaboration. Developed collaboratively by industry leaders and stakeholders, this roadmap outlines key initiatives and milestones for advancing open data practices within the water sector. Discover actionable strategies aimed at fostering innovation, improving decision-making, and enhancing sustainability. Join us on this journey as we unlock the power of open data to address water challenges and create positive impact for communities and ecosystems.

A Special Area of Conservation (SAC) is the land designated under Directive 92/43/EEC on the Conservation of Natural Habitats and of Wild Fauna and Flora. Data supplied has the status of "Candidate". The data does not include "Possible" Sites. Boundaries are mapped against Ordnance Survey MasterMap.Full metadata can be viewed on data.gov.uk.

The data shows surveyed location and recorded characteristics of priority habitat ponds. 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.Survey data provided by Freshwater Habitats Trust, duplicate and low GR data removed. Nearest town/village added using OS OpenPlaces. County added using NUTS2. Proximity and unique ref for OS pond calculated from OS MasterMap Topographic features, hydrology, static water.Full metadata can be viewed on data.gov.uk.

Reports, images, GIS and gridded products describing the Palaeozoic geology and conventional petroleum systems of parts of the UK offshore from the Orcadian Basin, Moray Firth to northern Forth Approaches (Quadrants 6-21). Devonian and Carboniferous rocks are the focus. The peer-reviewed products were produced for the 21CXRM Palaeozoic Project by BGS for DECC/OGA, Oil and Gas UK and oil company sponsors between November 2014 and May 2016, to improve regional digital datasets and knowledge of the underexplored Palaeozoic petroleum systems, and to stimulate exploration. The petroleum systems analysis was based on new interpretations of extensive well, seismic, gravity-magnetic and source rock datasets, integrated with petrophysical studies, basin modelling and UK onshore knowledge. Released data were collated and interpreted, and interpretations of unreleased data were included with agreement of the data owners. Unreleased raw data is excluded, as is the UK Government Seismic data released in 2016. The datasets are applicable for use at scales between 1:750,000 to 1: 3,000,000

Line dataset showing all approved stretches of the King Charles III England Coast Path Route.The King Charles III England Coast Path Route is a new National Trail being created by Natural England under the Marine and Coastal Access Act 2009. The King Charles III England Coast Path will be the longest managed and way-marked coastal path in the world.Full metadata can be viewed on data.gov.uk.

The SSSI IRZs are a Geographical Information System (GIS) tool developed by Natural England to make rapid initial assessment of the potential risks posed by development proposals to SSSIs and those Special Areas of Conservation (SACs), Special Protection Areas (SPAs) or Ramsar sites that they underpin. They define zones around each site which reflect the sensitivities of the features for which the site is notified and indicate the types of development proposal which could potentially have adverse impacts and need further consideration. In certain locations they also include Natural England's statutory advice for certain development types.LPAs can use the SSSI IRZs to consider if a proposed development is likely to affect a terrestrial SSSI and those SACs, SPAs or Ramsar sites that they underpin and when to consult Natural England to seek advice. Where the SSSI IRZs include Natural England's statutory advice or indicate a risk is unlikely, LPAs can use the SSSI IRZs to instantly generate a formal consultation response.Add the SSSI IRZs to your own GIS using the Web Map Service (WMS) link or download from the dropdown menu above or the links below. Download the latest update (January 2025) in ESRI Shapefile format.

Use the SSSI IRZs online on the MAGIC website. View the SSSI IRZs user guidance to learn how to interpret and use the SSSI IRZs. Alternatively, a training video is available that includes a step-by-step description of how to use the SSSI IRZs tool. For information on when LPAs must consult Natural England when considering development proposals refer to Planning and transport authorities: get environmental advice on planning - GOV.UK (www.gov.uk). For information on how developers can get advice from Natural England on planning applications refer to Developers: get environmental advice on your planning proposals - GOV.UK (www.gov.uk).Full metadata can be viewed on data.gov.uk.

What does the data show?

This data shows the annual number of summer days (days where the maximum temperature is above 25°C) averaged over the 1991-2020 period. The data is from the HadUK-Grid v.1.1.0.0 dataset and is provided on the 2km British National Grid (BNG).

What are the naming conventions and how do I explore the data?

This data contains a field for the average over the period, named ‘Summer Days’.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Data source

HadUK-Grid v1.1.0.0 (downloaded 11/03/2022)

Useful links

Further information on HadUK-Grid Further information on understanding climate data within the Met Office Climate Data Portal

OS Open Roads Shapefile containing links pertaining to the Major Road Network, as created by the Department for Transport in 2018.

See this dataset in an Interactive WebMap

If you are looking for the Strategic Road Network, please find this as part of the original, freely available, OS OpenRoads Product

The objective of the priority habitat map in England is to:• help organisations protect the most natural remaining examples of rivers from further impacts on natural processes, and • highlight any aspects of habitat integrity (hydrological, chemical, physical, biological) that could most usefully be improved. The priority river habitat map that has been produced is an English interpretation of the UK definition of priority river habitat, focusing on naturalness as the principal criterion in recognition of the vital importance of natural processes in delivering sustainable riverine habitats and supporting characteristic biodiversity.Full metadata can be viewed on data.gov.uk.

What does the data show?

This data shows annual averages of precipitation (mm/day) for 2050-2079 from the UKCP18 regional climate projections. The data is for the high emissions scenario (RCP8.5).

Limitations of the data

We recommend the use of multiple grid cells or an average of grid cells around a point of interest to help users get a sense of the variability in the area. This will provide a more robust set of values for informing decisions based on the data.

What are the naming conventions and how do I explore the data?

This data contains a field for the average over the period. They are named 'pr' (precipitation), the month, and 'upper' 'median' or 'lower'. E.g. 'pr Median' is the median value.

To understand how to explore the data, see this page: https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578

Please note, if viewing in ArcGIS Map Viewer, the map will default to ‘pr January Median’ values.

What do the ‘median’, ‘upper’, and ‘lower’ values mean?

Climate models are numerical representations of the climate system. To capture uncertainty in projections for the future, an ensemble, or group, of climate models are run. Each ensemble member has slightly different starting conditions or model set-ups. Considering all of the model outcomes gives users a range of plausible conditions which could occur in the future.

For this dataset, the model projections consist of 12 separate ensemble members. To select which ensemble members to use, the annual averages of precipitation for 2050-2079 were calculated for each ensemble member and they were then ranked in order from lowest to highest for each location.

The ‘lower’ fields are the second lowest ranked ensemble member. The ‘upper’ fields are the second highest ranked ensemble member. The ‘median’ field is the central value of the ensemble.

This gives a median value, and a spread of the ensemble members indicating the range of possible outcomes in the projections. This spread of outputs can be used to infer the uncertainty in the projections. The larger the difference between the lower and upper fields, the greater the uncertainty.

Data source

pr_rcp85_land-rcm_uk_12km_12_ann-30y_200912-207911.nc (median)

pr_rcp85_land-rcm_uk_12km_05_ann-30y_200912-207911.nc (lower)

pr_rcp85_land-rcm_uk_12km_04_ann-30y_200912-207911.nc (upper)

UKCP18 v20190731 (downloaded 04/11/2021)

Useful links

Further information on the UK Climate Projections (UKCP). Further information on understanding climate data within the Met Office Climate Data Portal

PLEASE NOTE: This data product is not available in Shapefile format or KML at https://naturalengland-defra.opendata.arcgis.com/datasets/Defra::living-england-habitat-map-phase-4/about, as the data exceeds the limits of these formats. Please select an alternative download format.This data product is also available for download in multiple formats via the Defra Data Services Platform at https://environment.data.gov.uk/explore/4aa716ce-f6af-454c-8ba2-833ebc1bde96?download=true.The Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and the Natural Capital and Ecosystem Assessment (NCEA) Pilot. The project uses a machine learning approach to image classification, developed under the Defra Living Maps project (SD1705 – Kilcoyne et al., 2017). The method first clusters homogeneous areas of habitat into segments, then assigns each segment to a defined list of habitat classes using Random Forest (a machine learning algorithm). The habitat probability map displays modelled likely broad habitat classifications, trained on field surveys and earth observation data from 2021 as well as historic data layers. This map is an output from Phase IV of the Living England project, with future work in Phase V (2022-23) intending to standardise the methodology and Phase VI (2023-24) to implement the agreed standardised methods.The Living England habitat probability map will provide high-accuracy, spatially consistent data for a range of Defra policy delivery needs (e.g. 25YEP indicators and Environment Bill target reporting Natural capital accounting, Nature Strategy, ELM) as well as external users. As a probability map, it allows the extrapolation of data to areas that we do not have data. These data will also support better local and national decision making, policy development and evaluation, especially in areas where other forms of evidence are unavailable. Process Description: A number of data layers are used to inform the model to provide a habitat probability map of England. The main sources layers are Sentinel-2 and Sentinel-1 satellite data from the ESA Copericus programme. Additional datasets were incorporated into the model (as detailed below) to aid the segmentation and classification of specific habitat classes. Datasets used:Agri-Environment Higher Level Stewardship (HLS) Monitoring, British Geological Survey Bedrock Mapping 1:50k, Coastal Dune Geomatics Mapping Ground Truthing, Crop Map of England (RPA), Dark Peak Bog State Survey, Desktop Validation and Manual Points, EA Integrated Height Model 10m, EA Saltmarsh Zonation and Extent, Field Unit NEFU, Living England Collector App NEFU/EES, Long Term Monitoring Network (LTMN), Lowland Heathland Survey, National Forest Inventory (NFI), National Grassland Survey, National Plant Monitoring Scheme, NEFU Surveys, Northumberland Border Mires, OS Vector Map District , Priority Habitats Inventory (PHI) B Button, European Space Agency (ESA) Sentinel-1 and Sentinel-2 , Space2 Eye Lens: Ainsdale NNR, Space2 Eye Lens: State of the Bog Bowland Survey, Space2 Eye Lens: State of the Bog Dark Peak Condition Survey, Space2 Eye Lens: State of the Bog (MMU) Mountain Hare Habitat Survey Dark Peak, Uplands Inventory, West Pennines Designation NVC Survey, Wetland Inventories, WorldClim - Global Climate DataFull metadata can be viewed on data.gov.uk.

A Ramsar site is the land listed as a Wetland of International Importance under the Convention on Wetlands of International Importance Especially as Waterfowl Habitat (the Ramsar Convention) 1971. Data supplied has the status of "Listed". The data does not include "Proposed" sites. Boundaries are mapped against Ordnance Survey MasterMap.Full metadata can be viewed on data.gov.uk.

There are 159 Character Areas, each of which is distinctive with a unique 'sense of place'. These broad divisions of landscape form the basic units of cohesive countryside character, on which strategies for both ecological and landscape issues can be based. The Character Area framework is used to describe and shape objectives for the countryside, its planning and management.Two new fields added January 2023:ALT - Agricultural Landscape TypologyBLT - Broad Landscape TypologyFull metadata can be viewed on data.gov.uk.