AndreaBozzo/ceres-open-data-index huggingface dataset:
EWCO - Keeping Rivers Cool Riparian Buffers

Spatial data supporting appropriately located and designed woodland creation where this will provide dappled shade to improve aquatic ecology by reducing summer water temperatures and benefiting wildlife dispersal (for example, otter) along the corridors of habitat this creates. The data represents a 50 m buffer around patches of surface waterbodies (rivers) with little or no existing riparian shade. Sections of river with the least amount of shading from riparian vegetation are considered to be priority areas for tree planting and therefore candidates for incentives such as additional grant aid to encourage woodland creation to provide greater shading in the future. Data input sources: Relative riparian shade map (Environment Agency) National LIDAR Programme Vegetation Object Model (Environment Agency) Attributes: ‘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 methodology was then revised by Forest Research and the layer was updated in 2022/23 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 Flood Map

The Historic Flood Map is a GIS layer showing the maximum extent of individual Recorded Flood Outlines from river, the sea and groundwater springs that meet a set criteria. It shows areas of land that have previously been subject to flooding in England. This excludes flooding from surface water, except in areas where it is impossible to determine whether the source is fluvial or surface water but the dominant source is fluvial. The majority of records began in 1946 when predecessor bodies to the Environment Agency started collecting detailed information about flooding incidents, although we hold limited details about flooding incidents prior to this date. If an area is not covered by the Historic Flood Map it does not mean that the area has never flooded, only that we do not currently have records of flooding in this area that meet the criteria for inclusion. It is also possible that the pattern of flooding in this area has changed and that this area would now flood or not flood under different circumstances. Outlines that don’t meet this criteria are stored in the Recorded Flood Outlines dataset. The Historic Flood Map takes into account the presence of defences, structures, and other infrastructure where they existed at the time of flooding. It will include flood extents that may have been affected by overtopping, breaches or blockages. Flooding is shown to the land and does not necessarily indicate that properties were flooded internally. Flood outlines are digitised in ArcGIS from a number of sources including surveyed flood events Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
London Development Opportunity Areas (Greater London Authority)

Opportunity Areas (OAs) are London’s major source of brownfield land which have significant capacity for development. Development proposals within OAs should conform with strategic directions for the OA(s). 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'.Contains OS data © Crown copyright and database rights 2019.
WWNP Riparian Woodland Potential

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 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. 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㴽 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. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Annual Temperature Observations 1991-2020 12km

What does the data show? The data shows the annual average of surface temperature (°C) 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 'tas' (temperature at surface). 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: tas_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
Flood Warning Areas

This record is for Approval for Access product AfA054 Flood Warning Areas. These are geographical areas where we expect flooding to occur and where we provide a Flood Warning Service. They generally contain properties that are expected to flood from rivers or the sea and in some areas, from groundwater. Specifically, Flood Warning Areas define locations within the Flood Warning Service Limit that represent a discrete community at risk of flooding. Flood Warnings are issued when flooding is expected to occur, Severe Flood Warnings are issued to similar areas when there is a danger to life or widespread disruption is expected. INFORMATION WARNING: Groundwater flood warning areas are property based, usually containing a discrete urban area, suburb, city, village, or hamlet and were created in various ways. In general specialists used the national groundwater dataset, historical maps, bedrock geology and records of properties affected by groundwater flooding in the past to create the groundwater flood warning areas. Additional data sources, including groundwater susceptibility maps, borehole data, local modelling and LiDAR may also have been used depending on the location of the area. Flood Warning Areas can be created, amended, or deleted at certain times in the year. This dataset was last updated on 20th November 2024. The next scheduled update for this data is July 9th 2025. This dataset represents spatial Flood Zones. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
MMO1135 Potential Habitat Creation Sites Within the Current Floodplain

Currently defended floodplain areas in England which could be suitable for managed realignment and / or Regulated Tidal Exchange (RTE) (to create mudflats and saltmarshes) are identified. Polygon data developed in 2018, by excluding /deleting unsuitable areas from the base layer (the Environment Agency's floodplain layer). Unsuitable areas included urban areas, major infrastructure, and existing managed realignment sites. With regard to limitations, this datalayer should only be viewed as a high level indication where managed realignment or RTE may be feasible. Sites are not ranked according to their suitability, nor does the layer indicate whether or not land is actually available for intertidal habitat creation (e.g. landowners may well not be interested to sell). Whilst a validation exercise showed that using the Floodplain 3 datalayer would generally lead to the identification of sites which could support mostly intertidal habitat if they were breached, the likely actual habitats achieved would depend on the regional and site conditions. Further investigations should be undertaken once a site has been judged as being of potential interest. Further limitations of the datalayer include that the larger sites identified are unlikely to be suitable for intertidal habitat creation across their entirety, for example due to potential difficulties relating to getting water to all areas of the site, or because very large sites may have undue impacts on the adjacent estuary. Thus, in reality, large sites will likely need to be sub-divided, and those areas closer to the shoreline preferentially targeted. RTE tidal amplitude is also generally lower than for fully breached sites, and with any site identified for RTE, it is thus unlikely that the full extent of a given site included in the datalayer would be inundated. Created using latest (2018) Environment Agency Floodplain 3 datalayer as base. Deleted unsuitable areas using automated and manual processes, consulting MMO provided OS Mastermap, ONS Built-up Areas (December 2011) Boundaries V2, 2018 ABPmer dataset on existing managed realignment sites, 2014 Environment Agency Saltmarsh Extent datalayer (amongst others). Designated site information in attributes table was derived from latest (2018) designated sites datalayers (i.e. SPAs, SACs, SSSIs). SMP information in attributes table was derived from latest Shoreline Management Plan 2 datalayer by the Environement Agency. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Historic Landfill Sites

This dataset is currently updated every 6 months. Data on landfill sites that are surrendered or revoked will move from the Authorised Landfill Layer but may not be updated into this dataset on the same frequency. This data is a national historic landfill dataset that defines the location of and provides specific attributes for known historic landfill sites. An historic landfill is a site where there is no environmental permit in force. The Environment Agency is not the regulator for historic landfills. The dataset includes sites that existed before landfills were regulated. Much of this pre-licensing data was derived from a national survey in the early 1990s so it may be incomplete. It also includes sites that were licensed (permitted) where that licence is no longer in force, in accordance with the legislation at the time. The Historic Landfill dataset includes information that is held by either the local authority or the Environment Agency. The data is available in ESRI shape file format, with the boundaries digitised from a base scale of 1:10,000 and an associated attribute table comprising 34 fields. Where information is available, the polygons and attributes describe where the sites were located, when they were used, who used them and what was deposited. Where sites were licensed, there are name and address fields, licensee and operator information, licence issue and surrender dates, first and last input dates and waste types, together with some historical comments. Where an attribute is incomplete, that detail is not available. Initially based on the information gathered from Environment Agency region and area offices including hard copy data (scans of documents etc) and GIS layers. Extra data from the Local Authorities was then included also including hard copy and GIS data. Two previously undertaken projects with the same aim (of finding all Historic Landfills in England &Wales) also provided hard copy and GIS data. These were a project done by the Water Resources Council and another by the British Geological Survey in the early 1970's. Finally the data is updated from those sites closing and removed from the Authorised Landfill dataset (whose source is ReSP). Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Annual Max Temperature Observations 1991-2020 12km

What does the data show? Annual averages of daily maximum surface temperature (°C) for the 1991-2020 period from HadUK gridded data (v1.1.0.0), 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 'tmax' (temperature maximum). 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 26/08/2022) · Source: https://catalogue.ceda.ac.uk/uuid/652cea3b8b4446f7bff73be0ce99ba0f · Filename: tasmax_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 Groundwater Bodies Cycle 2 Classification 2019

WFD Groundwater Bodies Cycle 2 Classification 2019 is an alternate version of ‘WFD Groundwater Bodies Cycle 2’ with the addition of 2019 classification data and additional user attribution. The geometry has been simplified to improve user experience, so the high resolution legal definition of these water bodies remains ‘WFD Groundwater Bodies Cycle 2’. These are polygon datasets which have been created for the implementation of the Water Framework Directive (WFD). Article 2, clause 2 of the WFD defines them as '…all water which is below the surface of the ground in the saturation zone and in direct contact with the ground or subsoil'. For the purposes of reporting under the WFD a groundwater body represent a distinct body of groundwater flow with a coherent flow unit including recharge and discharge areas with little flow across the boundaries. These reflect hydrogeological characteristics containing information on flow and stage properties, recharge and vulnerability to pollution. This has been undertaken through defining aquifers into different types and broken into catchment units at Catchment Abstraction Management Strategy (CAMS) scale. The primary input dataset is '1:625K Classified Aquifer Geology' that has been constructed by the Environment Agency. This dataset has been digitised directly from the hard copy '1:250K Solid Geology Map' and classified according to aquifer type and are therefore directly derived from the underlying BGS data. These classifications were verified by the British Geology Survey (BGS). These data have gone out for consultation at Area level and in some instances 1:50K Solid Geology has been used to define localised boundaries. The geometry of this dataset has then been simplified to allow for fast display, analysis and reduced file sizes. Since water bodies are attributed with a unique water body identifier 'WB_ID' this dataset can be linked directly to other WFD data sources. WFD Groundwater Bodies Cycle 2 Classification 2019 is an alternate version of ‘WFD Groundwater Bodies Cycle 2’ with the addition of 2019 classification data and additional user attribution. The geometry has been simplified to improve user experience, so the high resolution legal definition of these water bodies remains ‘WFD Groundwater Bodies Cycle 2’. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Flood Alert Areas

This record is for Approval for Access product AfA055. Flood Alert Areas are geographical areas where it is possible for flooding of low-lying land and roads to occur from rivers, sea and in some locations groundwater. A single Flood Alert Area may cover the floodplain within the Flood Warning Service Limit of multiple catchments of similar characteristics. A Flood Alert Area may contain one or more Flood Warning Areas. In some coastal locations a Flood Alert may be issued for spray or overtopping and be defined by a stretch of coastline. A Flood Alert is issued to warn people of the possibility of flooding and encourage them to be alert, stay vigilant and make early / low impact preparations for flooding. Flood Alerts are issued earlier than Flood Warnings to provide advance notice of the possibility of flooding and may be issued when there is less confidence that flooding will occur in a Food Warning Area. Flood Warnings Areas (established to apply to discrete communities) are available in AfA054. INFORMATION WARNING: The groundwater flood alert areas are either at a community/local scale, or where this is not possible are more generalised and based on other factors, such as geology and counties. In general, specialists used the national groundwater dataset to make a comparison with historical maps and bedrock geology to create the groundwater flood alert areas. Additional data sources, including groundwater susceptibility maps, borehole data, local modelling and LiDAR may also have been used depending on the location of the area. Flood Alert Areas can be created, amended, or deleted at certain times in the year. This dataset was last updated on November 20th 2024. The next scheduled update to this data is July 9th 2025. Greatest extent of flooding defined using Flood Zone which in turn is used to delineate the Flood Warning Service Limit which is then subdivided into Flood Alert Areas. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Priority Habitat Creation and Restoration

This record is for Approval for Access product AfA319. The Priority Habitat Creation and Restoration GIS dataset lists projects undertaken by the Environment Agency to create new priority habitats and restore existing priority habitats. The majority of projects were undertaken in partnership with other organisations. Priority habitat creation and restoration is part of the England Biodiversity Strategy. The UK Biodiversity Action Plan defined Priority habitats as those habitats most threatened and requiring conservation. This dataset indicates the year in which the projects were completed. The year period is April 1st to March 31st, from April 2009 onwards. Area teams submit habitat project information into the appropriate Operational Area version of the Conservation Projects Access database. There are three of these. Click [ Here ] to go straight to the DSP Metadata Page for this Dataset.
Annual Precipitation Projections 2050-2079

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
Annual Count of Summer Days 1991-2020

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
Annual Count of 10mm Rainfall Days 1991-2020

What does the data show? This data shows the annual number of 10mm rainfall days (days where rainfall is equal to or greater than 10mm) 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 ‘Rainfall 10mm 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