AndreaBozzo/ceres-open-data-index huggingface dataset:
CaBA Catchment Partnerships

The [Catchment Based Approach] (CaBA) is an inclusive, civil society-led initiative that works in partnership with Government, Local Authorities, Water Companies, businesses and more, to maximise the natural value of our environment. CaBA partnerships are actively working in all 100+ river catchments across England and cross-border with Wales, directly supporting achievement of many of the targets under the Government’s 25 Year Environment Plan. From the source of our rivers to the sea, across our towns, cities, countryside and coasts – a healthy water environment is essential to all of us. It provides us with the water we need to live and to run our businesses efficiently. It reduces the risk to our homes and livelihoods of flooding. A healthy water environment means better places to live, where people and wildlife flourish. In the past, management of the water environment has fallen to Government, to private companies and to landowners, often operating in isolation. CaBA embeds collaborative working at a river catchment scale, delivering a range of environmental, social and economic benefits and protecting our precious water environments for the benefit of us all. The catchment partnerships drive cost-effective practical delivery on the ground, resulting in multiple benefits including improvements to water quality, enhanced biodiversity, reduced flood risk, resilience to climate change and greater community engagement with their local river. Partnerships provide a catalyst to attract additional funds and to date some have levered up to 8 times the initial investment. The layer contains CaBA partnership name, partnership website, CaBA partnership ID & catchment name. Find out more at [data.catchmentbasedapproach.org]. Contact [info@catchmentbasedapproach.org].
Census 2021 Travel To Work - Method Used to Travel to Work - TS061

Office for National Statistics' national and subnational Census 2021. This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their method used to travel to work (2001 specification). The estimates are as at Census Day, 21 March 2021. Census 2021 took place during a period of rapid change. We gave extra guidance to help people on furlough answer the census questions about work. However, we are unable to determine how furloughed people followed the guidance. Take care when using this data for planning purposes. Read more about specific quality considerations in our [Labour market quality information for Census 2021 methodology] Method of travel to workplace definition: A person's place of work and their method of travel to work. This is the 2001 method of producing travel to work variables. 'Work mainly from home' applies to someone who indicated their place of work as their home address and travelled to work by driving a car or van, for example visiting clients. Quality information: As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Comparability with 2011: Not comparable. It is difficult to compare this variable with the 2011 Census because Census 2021 took place during a national lockdown. The government advice at the time was for people to work from home (if they can) and avoid public transport. People who were furloughed (about 5.6 million) were advised to answer the transport to work question based on their previous travel patterns before or during the pandemic. This means that the data does not accurately represent what they were doing on Census Day. This variable cannot be directly compared with the 2011 Census Travel to Work data as it does not include people who were travelling to work on that day. It may however, be partially compared with bespoke tables from 2011. This data is issued at [(BGC) Generalised (20m)] boundary type for: * Country - England and Wales * Region - England * UTLA - England and Wales * LTLA - England and Wales * Ward - England and Wales * MSOA - England and Wales * LSOA - England and Wales * OA - England and Wales If you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com. The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system. [Read more] about the NDS.
EWCO – Water Quality

Spatial data supporting appropriately located and designed woodland creation to help reduce pollutants through land use change that reduces fertilizer application or by creating woodland that intercepts pollution and sediment before it reaches watercourses. The layer shows where woodland creation can decrease diffuse pollution through reduced fertiliser and pesticide usage. It can also protect sensitive soils from; disturbance and erosion, increase infiltration and reduce water runoff, intercept sediment and chemical pollutants in run-off and reduce the delivery of pollutants to watercourses. Woodland will be located within groundwater and surface water Protection Zones, on soils at high risk of erosion or leaching chemical pollutants, where temporary surface water collects and flows during heavy rain, on areas receiving runoff from hard standings, on infiltration basins and on sustainable rural and urban drainage systems and downslope of erosion or chemical pollutant sources. Data input sources: 2014 Countryside Stewardship Water Quality Priority Areas (Environment Agency). Attributes: ‘Cat’ – the targeting category. ‘AreaHa’ – Area of the feature in hectares. Lineage: First published to support the woodland creation grant under Countryside Stewardship (CS), launched in 2015. The layer was updated in 2022 - the ‘Lower Spatial Priority’ category was removed - to cater for the new England Woodland Creation Offer (EWCO) scheme. A detailed methodology describing the development of this layer can be requested from evidence@forestrycommission.gov.uk.
Historic England Heritage at Risk Register 2024

Heritage at Risk provides an understanding of the overall state of England’s heritage assets. Every year Historic England updates the [Heritage at Risk Register]. The end result is a dynamic picture of the sites most at risk and most in need of safeguarding for the future. Assets may be assessed by using multiple methodologies so may appear multiple times. For example, a scheduled monument could be made up of archaeological remains and a standing structure. In this instance, the remains would be assessed using the archaeological risk assessment, and the structure using the buildings or structures assessment. Conservation Area information is not complete due to availability of Conservation Area spatial data. This data and its spatial depictions are purely indicative and are not a definitive representation. Users are advised to seek clarification and confirmation on risk assessments from [Historic England].
UK Qualifications

Data sources: * England & Wales - Office for National Statistics (ONS) * Scotland - National Records of Scotland (NRS) * Northern Ireland - Northern Ireland Statistics and Research Agency (NISRA) Coverage: United Kingdom The boundaries used have been generalised using a point remove algorithm for web display using the following thresholds: * Euro Regions - 250 metres * Local Authorities - 150 metres * Middle Super Output Area (MSOA) - 100 metres * Lower Super Output Area (LSOA) - 75 metres * Output Area (OA) - 50 metres The boundaries have been set to display at the following scale thresholds: * Euro Regions - > 1:4,000,000 * Local Authorities - 1:300,000 – 1:4,000,000 * Middle Super Output Area (MSOA) - 1:100,000 – 1:300,000 * Lower Super Output Area (LSOA) - 1:40,000 – 1:100,000 * Output Area (OA) - < 1:40,000 The currency of this data is 2011.
UK Health

Data sources: * England & Wales - Office for National Statistics (ONS) * Scotland - National Records of Scotland (NRS) * Northern Ireland - Northern Ireland Statistics and Research Agency (NISRA) Coverage: United Kingdom The boundaries used have been generalised using a point remove algorithm for web display using the following thresholds: * Euro Regions - 250 metres * Local Authorities - 150 metres * Middle Super Output Area (MSOA) - 100 metres * Lower Super Output Area (LSOA) - 75 metres * Output Area (OA) - 50 metres The boundaries have been set to display at the following scale thresholds: * Euro Regions - > 1:4,000,000 * Local Authorities - 1:300,000 – 1:4,000,000 * Middle Super Output Area (MSOA) - 1:100,000 – 1:300,000 * Lower Super Output Area (LSOA) - 1:40,000 – 1:100,000 * Output Area (OA) - < 1:40,000 The currency of this data is 2011.
WWNP Riparian Woodland Potential

WWNP Riparian Woodland Potential is our best estimate of locations where tree planting may be possible on smaller floodplains close to flow pathways, and effective to attenuate flooding. The dataset is designed to support signposting of riparian areas not already wooded. The dataset is based upon a 50m buffer of available OS Open Data river networks. A set of open access constraints data was used to erase areas which contained existing woodland, watercourses, peat, roads, rail and urban locations. The information provided is largely based on open data, and is indicative rather than specific. Locations identified may have more recent building or land use than available data indicates. It is important to note that land ownership and change to flood risk have not been considered, and it may be necessary to model the impacts of significant planting. A 50m buffer was created around OS river network datasets to identify potential locations for riparian tree planting. This data used included: OS OpenMap - Surface Water Line, OS OpenMap - Surface Water Area and OS Open Rivers (2016). The ‘Woodland Constraints’ data was then applied, masking existing woodland, watercourses, peat, roads, rail and urban areas.
Black-legged Kittiwake Getis-Ord and Maximum Curvature Hotspots UK Wide

Data created 2018. UK-level hotspots maps for black-legged kittiwake based upon established techniques for deriving hotspots from density data for the purposes of delineating potential Marine Protected Areas (MPA) (Kober at al. 2010, 2012, O’Brien et al. 2012). The techniques used are Maximum Curvature and Getis-Ord analysis (see [guidance notes]). Using the outputs from Getis-Ord analyses we defined hotspots in three different ways, thus the total number of hotspots displayed is four (1 Maximum Curvature hotspot and 3 different Getis-Ord hotspots). The full technical report describing the work is available [here].
Biomass opportunity showing sensitivity and constraints

Data created/ data last updated: 2015. This dataset contains a composite map of opportunity for biomass energy with physical and policy constraints marked as well as areas of high and medium ecological sensitivity. A sequential approach was applied: (1) the accessible energy resource (or opportunity) for each technology was identified; (2) physical constraints to exploiting the resource were accounted for; then (3) policy constraints to exploiting the resource were applied: and (4) areas of high and medium ecological sensitivity were applied. It was created in 2015, as part of RSPB's Energy Vision project. This combined RSPB data with data from various other sources, including the British Trust for Ornithology (BTO), Ordnance Survey, and the statutory agencies. For full details of the datasets used, availability and quality of the data, as well as information on the mapping process, see [Gove et al., PLOS One, 2016, 11(5), e0150956]. These maps were designed to indicate the aggregated land area potentially available for renewable energy production at different levels of ecological sensitivity. These maps were not specifically designed to identify areas that should or should not be used to deliver renewable energy, but rather to indicate the aggregated land area potentially available for renewable energy production. Whilst the maps may be used to help inform strategic decisions, they were not specifically designed to be used for site selection purposes. Key Limitations: (1) It is not possible for the spatial analysis to distinguish between areas of known low ecological sensitivity and areas of unknown ecological sensitivity, and (2) Economic constraints which may limit development were outside of the scope of the analysis. [Follow this link for more details about interpreting these data.]
Razorbill Getis-Ord and Maximum Curvature Hotspots UK Wide

Data created 2018. UK-level hotspots maps for razorbill based upon established techniques for deriving hotspots from density data for the purposes of delineating potential Marine Protected Areas (MPA) (Kober at al. 2010, 2012, O’Brien et al. 2012). The techniques used are Maximum Curvature and Getis-Ord analysis (see [guidance notes]). Using the outputs from Getis-Ord analyses we defined hotspots in three different ways, thus the total number of hotspots displayed is four (1 Maximum Curvature hotspot and 3 different Getis-Ord hotspots). The full technical report describing the work is available [here].
European Shag Getis-Ord and Maximum Curvature Hotspots UK Wide

Data created 2018. UK-level hotspots maps for European shag based upon established techniques for deriving hotspots from density data for the purposes of delineating potential Marine Protected Areas (MPA) (Kober at al. 2010, 2012, O’Brien et al. 2012). The techniques used are Maximum Curvature and Getis-Ord analysis (see [guidance notes]). Using the outputs from Getis-Ord analyses we defined hotspots in three different ways, thus the total number of hotspots displayed is four (1 Maximum Curvature hotspot and 3 different Getis-Ord hotspots). The full technical report describing the work is available [here].
Spatial Flood Defences

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. Source: [https://environment.data.gov.uk/dataset/8e5be50f-d465-11e4-ba9a-f0def148f590]
Heat Socio-spatial Vulnerability Index (Climate Just)

Heat socio-spatial vulnerability refers to mapped social vulnerability with respect to heat-related hazard. The map shows how the personal, social and environmental factors which help to explain uneven impacts on people and communities come together in particular neighbourhoods. It shows where negative social impacts are more likely. This information can then be combined with the likelihood of events occurring to understand how this social vulnerability and potential for negative impacts translates into disadvantage. The heat socio-spatial vulnerability map shows the result of an equally-weighted combination of neighbourhood-level scores for indicators within each of the five dimensions of socio-spatial vulnerability for each neighbourhood: * Sensitivity * Enhanced Exposure * (In)ability to Prepare * (In)ability to Respond * (In)ability to Recover Neighbourhood mapping uses Middle Super Output Areas (MSOAs) from the UK Census, 2011. More information is available in the ClimateJust user guide and list of limitations . This area-based representation provides only a broad, national-scale indication of local patterns and users are strongly encouraged to build on this starting point with finer scale geographical data and other local data holdings.
Census 2021 Labour Market Occupation - TS063

Office for National Statistics' national and subnational Census 2021. Occupation This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in employment the week before the census in England and Wales by occupation. The estimates are as at Census Day, 21 March 2021. Occupation (current) definition: Classifies what people aged 16 years and over do as their main job. Their job title or details of activities they do in their job and any supervisory or management responsibilities form this classification. This information is used to code responses to an occupation using the Standard Occupational Classification (SOC) 2020. It classifies people who were in employment between 15 March and 21 March 2021, by the SOC code that represents their current occupation. The lowest level of detail available is the four-digit SOC code which includes all codes in three, two and one digit SOC code levels. Quality information: As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Comparability with 2011: Not comparable We changed the classification for Census 2021 and combined the categories previously available in the 2011 Census data. This data is issued at [(BGC) Generalised (20m)] boundary type for: * Country - England and Wales * Region - England * UTLA - England and Wales * LTLA - England and Wales * Ward - England and Wales * MSOA - England and Wales * LSOA - England and Wales * OA - England and Wales If you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com. The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system. [Read more] about the NDS.
Census 2021 Ethnic Group, National Identity, Language and Religion Main Language - Detailed - TS024

Office for National Statistics' national and subnational Census 2021. Main language (detailed) This dataset provides Census 2021 estimates that classify usual residents in England and Wales by their main language. The estimates are as at Census Day, 21 March 2021. Main language (detailed) definition: A person's first or preferred language. This breaks down the responses given in the write-in option 'Other, write in (including British Sign Language)'. Comparability with 2011: Highly comparable This data is issued at [(BGC) Generalised (20m)] boundary type for: * Country - England and Wales * Region - England * UTLA - England and Wales * LTLA - England and Wales If you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com. The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system. [Read more] about the NDS.
WWT 'Wetlands for Carbon Storage' potential

This dataset maps where potential 'wetlands for carbon storage' (specifically saltmarshes) could be created within the current tidal floodplain. It shows where these areas overlap with sites/areas of special scientific interest (SSSIs for [England], [Scotland], [Wales] and ASSIs for [Northern Ireland]). This wetland potential map is not prescriptive at the site level and does not replace the need for detailed site selection processes, feasibility studies, and regulatory processes. The intention is to illustrate the overall potential and to direct users’ thoughts in a strategic way, rather than precisely telling them where to put wetlands, or specifying where action should or will necessarily take place. WWT are calling for the creation of 100,000 hectares of new and restored wetlands in the UK by 2050. This map is a part of [WWT’s Roadmap to 100,000 hectares project], which aims to assess both the spatial and economic potential for large-scale wetland restoration targeted at tackling some of the key issues faced by UK society. The work has a particular focus on four themes where wetlands can provide solutions, namely (1) wetlands for carbon storage (specifically saltmarsh for blue carbon), (2) wetlands for urban wellbeing, (3) wetlands for flood resilience, and (4) wetlands for water quality. Wetland potential for [water quality], [carbon storage], [flood resilience] and [urban wellbeing] has been mapped. Full methodology can be found [here]. Attributes: ───────┬─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Heading│Description ───────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Country│UK country in which the wetland (saltmarsh) potential parcel is located ───────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── SSSI │1 = wetland (saltmarsh) potential parcels located within a SSSI/ASSI; 0 = wetland parcels located outside of a │SSSI/ASSI ───────┼─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Area_ha│Area of the wetland (saltmarsh) potential parcel, in hectares ───────┴───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Forestry England Recreation Areas

A recreation area feature which is managed and has a physical boundary (e.g. a car park, play area or building). Vehicle - Purpose built and installed FE asset, or regularly used natural feature, which has management activity and investment (e.g. Car park, lay-by, woodland bays). Visitor area - Purpose built and installed FE asset, which has management activity and investment (e.g. BBQ area, picnic, education, events, arboretum). Sports - Purpose built and installed FE asset (or sub-let), which has management activity and investment (e.g. Archery, bike park, ropes course, GoApe, climbing). Building - Purpose built and installed FE asset, which has management activity and investment. Visitor centre, toilet, cycle hire, catering, shelter, retail outlet. Play - FE area designated for play activities, which has management activity and investment (Deb building, play area, paddling). Accommodation - Purpose built and installed FE asset, which has management activity and investment (e.g. Camp site, cabin site, caravan site, wild camp area). Ponds/Lakes - Natural or man-made feature, which has management activity and investment (Natural, fishing, model boats, duck flighting). Concert - FE area designated for concert activities, which has management activity and investment (Stage, backstage, viewing area). Last updated from Forester Web on 17/02/2026.