AndreaBozzo/ceres-open-data-index huggingface dataset:
Brownfield Land (Greater London Authority and gov.uk)

Brownfield Point - Local planning authorities designate sites in their area as being brownfield land, and publish a register of brownfield sites annually following GOV.UK guidance. GLA Brownfield Register - Brownfield lands are areas of previously developed land available for residential and mixed-use developments. All local planning authorities are required to publish a Brownfield Land Register to encourage delivery of housing and investment in the area. Brownfield sites that are below 0.25 hectares may not be shown on the map. The GIS files show the indicative boundaries, please contact the relevant London Borough to confirm accuracy. NOTE: The boundaries are based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'.
NBCCVM Most Vulnerable Habitats (Natural England)

Natural England has developed a GIS model that provides an assessment of the vulnerability of priority habitats to climate change based on principles of adaptation for biodiversity. It identifies why areas are vulnerable and which possible interventions can have the biggest impact in increasing resilience to the changing climate. This will inform prioritisation of adaptation action and assist in the development of adaptation strategies for biodiversity both within Natural England and with our partners. The NBCCVA uses a 200m x200m GIS grid model to assess priority habitats for their Sensitivity to climate change, Adaptive Capacity; including habitat fragmentation, topographic variety and current management and condition and Conservation Value. The metrics can then be added together to produce an overall vulnerability assessment. Key outputs are maps showing the metric results and the range of relative vulnerability across the country, giving a visual representation of the areas vulnerable to climate change. Attribution statement: © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year].
WWNP Runoff Attenuation Features 3.3% AEP

This dataset has been produced as part of the Mapping Potential for Working with Natural Processes research project (SC150005). The project created a toolbox of mapped data and methods which enable operational staff in England to identify potential locations for Working with Natural Processes (WWNP). Data has been produced for each intervention covered by the project. The final outputs include the following datasets: • Floodplain Woodland Planting Potential • Riparian Woodland Planting Potential • Wider Catchment Woodland • Floodplain Reconnection Potential • Runoff Attenuation Features 3.3% AEP • Runoff Attenuation Features 1% AEP • Woodland Constraints Runoff Attenuation Features Potential is our best estimate of locations of high flow accumulation across the land surface or in smaller channels, where it may be possible to temporarily store water and attenuate flooding during high flows. The dataset is designed to support signposting of areas to target enhanced storage. It is based upon the Risk of Flooding from Surface Water datasets and identifies areas of high flow accumulations for the 3.3% Annual Exceedance Probability surface water maps. The areas of ponding or accumulation are between 100 and 5000 metres squared, and have been tagged where they fall on an area of slope steeper than 6% as gully blocking opportunities. All the potential areas have been constrained so that they are not in urban areas or on roads, rails or canals. The data does not does not provide information on design, which may need to consider issues such as drain-down between flood events. It is important to note that land ownership and change to flood risk have not been considered. Locations identified may have more recent building or land use than available. Further information on the Working with Natural Processes project, including a mapping user guide, can be found in the reports published here: https://www.gov.uk/government/publications/working-with-natural-processes-to-reduce-flood-risk A GIS tool developed by JBA, called JRAFF (JBA Runoff Attenuation Feature Finder) was used to analyse potential for Runoff Attenuation Features. This identifies areas of high flow accumulation from the Risk of Flooding from Surface Water Depth 3.3 percent annual chance map that could be targeted as opportunities for enhanced temporary storage. OS Terrain 50 (2016) was used to determine gully blocking potential, based on a threshold of > 6 degrees (10%). A constraint layer was applied based on CORINE Land Cover Urban layer (2012), OS Open Map Local – Roads, Rail and Building layers (2016) and OS Open Rivers – Canal layer (2016). Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Flood Map for Planning: Flood Storage Areas (Environment Agency)

The Flood Map for Planning (Rivers and Sea) includes several layers of information. This dataset covers Flood Storage Areas. It shows those areas that act as a balancing reservoir, storage basin or balancing pond. Their purpose is to attenuate an incoming flood peak to a flow level that can be accepted by the downstream channel. It may also delay the timing of a flood peak so that its volume is discharged over a longer time interval. We have assumed that flood storage areas act perfectly and give the same level of protection as when our assessment of the area was carried out. Flood storage areas do not completely remove the chance of flooding and can be overtopped or fail in extreme weather conditions. This dataset is designed to raise awareness of the likelihood of flooding and to encourage people living and working in areas prone to flooding to find out more and take appropriate action.
Green Belt (gov.uk)

A green belt is a policy, and land-use zone designation used in land-use planning to retain areas of largely undeveloped, wild, or agricultural land surrounding or neighbouring urban areas. Similar concepts are greenways or green wedges, which have a linear character and may run through an urban area instead of around it. In essence, a green belt is an invisible line designating a border around a certain area, preventing development of the area and allowing wildlife to return and be established.
Natural Capital County Atlas Mapping (Natural England)

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.
WFD Surface Water Operational Catchments Cycle 2

Operational catchments are a way of grouping WFD waterbodies together for the purposes of economic appraisal. Every waterbody has been assigned to an Operational catchment. They are not always hydrologically correct catchments as the river waterbodies may have been grouped based on pressures and measures than hydrology. The Surface Water Operational Catchments data set also extends to cover transitional and coastal water bodies. It excludes the underlying Groundwater, and linear artificial waters which are published separately. Created by merging the WFD river waterbody catchments the WFD coastal waterbodies and the WFD transitional waterbodies into larger functional groups. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
WFD Transitional and Coastal Water Bodies Cycle 2 Classification 2019

WFD Transitional and Coastal Water Bodies Cycle 2 Classification 2019 is an alternate version of ‘WFD Transitional and Coastal Waterbodies Cycle 2’ with the addition of 2019 classification data and additional user attribution including Catchment Partnership codes. The geometry has been simplified to improve user experience. These are polygon datasets containing attributes that have been collated as defined for the implementation of the Water Framework Directive (WFD). It comprises both the Transitional and the Coastal water bodies used for the WFD in Cycle 2 Article 2, clause 6 of the WFD defines Transitional water bodies as ‘…bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but are substantially influenced by freshwater flows’. These are also referred to as estuaries. Transitional water bodies were defined from Mean High Water boundaries, taken directly from OS 1:50K MeridianTM 2 and Environment Agency estuarine boundaries defined for the Urban Waste Water Treatment Directive (UWWTD). Article 2, clause 7 of the WFD defines coastal water bodies as ‘…a surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters’. Coastal waters were defined by territorial waters 1 nautical mile from the Mean High Water coastline taken directly from OS 1:50K MeridianTM 2. The delineation between coastal and estuarine waters was delineated by the Environment Agency defined transitional water bodies. Water bodies are also split and assigned to River Basin Districts. These Transitional and Coastal water bodies have been simplified for fast display in this version of the dataset, so the higher resolution legal definition of these water bodies remains ‘WFD Transitional and Coastal Waterbodies Cycle 2’. WFD Transitional and Coastal Water Bodies Cycle 2 Classification 2019 is an alternate version of ‘WFD Transitional and Coastal Waterbodies Cycle 2’ with the addition of 2019 classification data and additional user attribution including Catchment Partnership codes. The geometry has been simplified to improve user experience. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Annual Precipitation Observations 1991-2020 12km

What does the data show? The data shows the annual average of precipitation amount (mm) for the 1991-2020 period from HadUK gridded data. It is provided on a 12km British National Grid (BNG). 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 1991-2020 period. It is named 'pr' (precipitation). To understand how to explore the data, see this page: [https://storymaps.arcgis.com/stories/457e7a2bc73e40b089fac0e47c63a578] Data source: · Version: HadUK-Grid v1.1.0.0 (downloaded 21/06/2022) · Source: https://catalogue.ceda.ac.uk/uuid/652cea3b8b4446f7bff73be0ce99ba0f · Filename: rainfall_hadukgrid_uk_12km_ann-30y_199101-202012.nc Useful links · Further information on [HadUK-Grid] · Further information on [understanding climate data] within the Met Office Climate Data Portal
WFD River Basin Districts Cycle 2

WFD River Basin Districts is a polygon Shapefile dataset containing attributes that have been collated as defined for the implementation of the Water Framework Directive (WFD). Article 2, clause 2 of the WFD defines them as '…the area of land and sea, made up of one or more neighbouring river basins together with their associated groundwaters and coastal waters…'. River Basin Districts have been delineated by using River Catchments as “building blocks” that have been aggregated together within a GIS, ensuring that WFD rivers do not intersect boundaries. Coastal and transitional waterbodies are also merged and assigned to a river basin district. River Catchments were delineated through use of flow data and a digital terrain model run through a hydrological model. These data apply to Cycle 2 of the Water Framework Directive. The equivalent layer for Cycle 1 is covered by AfA081. The Cycle 2 RBD boundaries look very similar to the cycle 1 RBD boundaries but are based on the Cycle 2 versions of the river waterbody catchments, transitional and coastal waters. As a result some of the base datasets used for their delineation have changes and they have been declared OpenData. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
WFD River Water Body Catchments Cycle 2 Classification 2019

WFD River Water Body Catchments Cycle 2 Classification 2019 is an alternate version of ‘WFD River Waterbody Catchments Cycle 2’ with the addition of 2019 classification data and additional user attribution including Catchment Partnership codes. The geometry has been simplified to improve user experience, so the ‘WFD River Waterbody Catchments Cycle 2’ remains the highest definition version of the river catchments which was used within the WFD. This is a polygon dataset as defined for the implementation of the Water Framework Directive. Catchments are defined as an area of land from which all surface run-off flows through a series of streams, rivers and, possibly, lakes to a particular point in the water course such as a river confluence. Since rivers are attributed with a unique water body identifier 'WB_ID' this dataset can be linked directly to the WFD river water body to which it relates. This dataset only contains the catchment shapes for river water bodies reported under the WFD. It does not include catchments for the small coastal streams and pieces of land that drain to coastal and estuarine waters without passing through a defined river water body. WFD River Water Body Catchments Cycle 2 Classification 2019 is an alternate version of ‘WFD River Waterbody Catchments Cycle 2’ with the addition of 2019 classification data and additional user attribution including Catchment Partnership codes. The geometry has been simplified to improve user experience, so the ‘WFD River Waterbody Catchments Cycle 2’ remains the highest definition version of the river catchments which was used within the WFD. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
WFD Lake Water Bodies Cycle 2 Classification 2019

WFD Lake Water Bodies Cycle 2 Classification 2019 is an alternate version of ‘WFD Lake Waterbodies Cycle 2’ with the addition of 2019 classification data and additional user attribution including Catchment Partnership codes. These are polygon datasets containing Water Framework Directive (WFD) attributes that have been collated as defined for the implementation of the Water Framework Directive. Article 2, clause 5 of the WFD defines them as '…a body of standing inland surface water'. Artificial and modified lake water bodies are included within this dataset, however, generally only lakes above > 50 hectares were assessed under the WFD except for lakes in protected areas, where a minimum of 5.0ha was used. Lakes below this threshold are not included within this dataset unless allocated as Sites of Special Scientific Interest (SSSI) as supplied by Natural England. Any lake judged to be a drinking water protected area was also included. Each water body has been assigned a unique water body identifier 'WB_ID', which enables links to other WFD attributes. WFD Lake Water Bodies Cycle 2 Classification 2019 is an alternate version of ‘WFD Lake Waterbodies Cycle 2’ with the addition of 2019 classification data and additional user attribution including Catchment Partnership codes. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Annual Temperature Projections 2050-2079

What does the data show? This data shows annual averages of surface temperature (°C) 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 'tas' (temperature at surface), the month, and 'upper' 'median' or 'lower'. E.g. 'tas 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 surface temperature 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 tas_rcp85_land-rcm_uk_12km_12_ann-30y_200912-207911.nc (median) tas_rcp85_land-rcm_uk_12km_05_ann-30y_200912-207911.nc (lower) tas_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
EWCO - Biodiversity - Priority Habitat Network

Spatial data supporting the England Woodland Creation Offer (EWCO) additional contribution targeting for Nature Recovery, where the layer indicates ‘High Spatial Priority’. ‘Higher’ and ‘Lower’ priority areas for woodland network expansion. This layer is identical to that titled ‘CS WCM Biodiversity - Priority Habitat Network’ also visible on the Forestry Commission Map Browser. Data input sources: National Forest Inventory (NFI) 2012 Map plus additional woodland habitat network modelling provided by Forest Research. Attributes: ‘cat’ – ‘Higher’ and ‘Lower’ priority area for woodland network expansion ‘csht_pnts’ – base scoring value for Countryside Stewardship Higher Tier ‘cswc_mpnts’ - scoring value per Ha for Countryside Stewardship woodland creation ‘ewco_val’ – EWCO £ value the additional contribution provides per Ha if awarded Lineage: First published to support the woodland creation grant under Countryside Stewardship (CS), launched in 2015. The layers attributes were updated in 2021 to cater for the new England Woodland Creation Offer (EWCO) scheme.
UKCS offshore petroleum licence blocks history (WGS84)

A Licence is a geographically defined area for prospecting, exploration or extraction of petroleum resources. The North Sea Transition Authority's licensing system covers oil and gas within Great Britain, its territorial sea and on the UK Continental Shelf (UKCS). The Petroleum Act 1998 vests all rights to the nation's petroleum resources in the Crown, but the NSTA can grant licences that confer exclusive rights to 'search and bore for and get' petroleum. Licences fall into several categories. The principal distinctions are between onshore and offshore licences, and between exploration licences (which cover exploration alone) and production licences (which cover both exploration and production). The NSTA has discretion in the granting of licences to help maximise the economic recovery of the UK's oil and gas resources. Licence data is represented by 3 different datasets; 1. Licence. * Licence polygons represent the whole licence and have one polygon per licence. 2. Licence Blocks. * Licenced Blocks and Sub areas represent finer divisions of these licences and may have many polygons per licence. 3. Sub Areas. * Most Licenced Blocks are split with several sub areas, sometimes with differing operators and beneficiaries.
Wind Cable Agreements (England, Wales & NI), The Crown Estate

This dataset represents all current export cables for offshore wind farm agreements in pre-planning, planning, construction and operational phases in English, Welsh and Northern Irish waters. The boundaries are a true reflection of what has been signed in the Agreements for Lease and Lease documents. For more information, visit our website at: [https://www.thecrownestate.co.uk/our-business/marine/offshore-wind]
AIMS Spatial Flood Defences (inc. standardised attributes)

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 AIMS Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Wind Site Agreements (England, Wales & NI), The Crown Estate

This dataset represents all current offshore wind farm agreements in pre-planning, planning, construction and operational phases in English, Welsh and Northern Irish waters. The boundaries are a true reflection of what has been signed in the Agreements for Lease and Lease documents. For more information, visit our website at: [https://www.thecrownestate.co.uk/our-business/marine/offshore-wind]