This is a web map service (WMS) for the Land Cover Map 2024 at 10-metre resolution. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.

A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly from the CPM outputs, and a further 36000 (1000 events per ensemble member per time period) generated using an Empirical Beta Copula approach. This was generated for three periods: December 1980 to November 2000, December 2020 to November 2040 and December 2060-November 2080, to examine changes in widespread rainfall events over time due to climate change. Full details about this dataset can be found at https://doi.org/10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd

[This dataset is embargoed until July 1, 2026]. This dataset provides diatom taxon abundance data from 12 rivers in the Cordillera Vilcanota region of the Peruvian Andes. Benthic diatoms were collected from a 9cm2 surface on 5 submerged cobbles at each river site. Diatoms were identified and abundances determined using microscopy methods in the laboratory, then averaged across the 5 replicates for each site. Data were collected from 11/09/2019 to 18/09/2019. Full details about this dataset can be found at https://doi.org/10.5285/1ef65c7e-08d6-4148-b751-ae106346e091

This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018. The sample plots included areas with deep and shallow peat burn. The data includes geographical information (location, elevation and slope), soil temperature and soil chemical composition (carbon, nitrogen and 22 other elements). The dataset is the result of research funded by a NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands). Full details about this dataset can be found at https://doi.org/10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd

[This dataset is embargoed until December 8, 2025]. This data set contains information on the age of Sus scrofa (pig) bones and teeth from archaeological sites in the Philippines and the Pacific Islands as estimated by AMS radiocarbon dating. Samples were selected for radiocarbon dating and palaeogenomic analysis from the following archaeological sites in the Philippines and Pacific Islands (Palau): Pamayan (Philippines), Savidug (Philippines) and Uchul a Rois (Palau). Radiocarbon dating was carried out at the Oxford Radiocarbon Accelerator Unit following published protocols. This work was supported by NERC grant NE/S00078X/1. Full details about this dataset can be found at https://doi.org/10.5285/3187bfa1-6346-4569-9062-b5414ec1dd62

This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e

A set of data arising from a detailed ecological re-survey of the native Scots Pine woodland habitats within Scotland. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood sixteen randomly selected 200m2 plots were surveyed between 2018 and 2022. Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardized procedures and coding systems. The survey was a repeat of an identical survey carried out in 1971, and thus allows an assessment of change in the woodlands since that time. The survey was funded by a consortium led by the Woodland Trust, and carried out by staff employed by the UK Centre for Ecology & Hydrology. Full details about this dataset can be found at https://doi.org/10.5285/5e268e86-4a4f-4112-bf2d-c3b0179c915c

The Land Cover Map 2024 (UK Land Cover Statistics) dataset summarises the coverage of different land cover types across Great Britain and Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This data is provided in both .csv and geopackage (vector) formats. Statistics are calculated at country, county, and regional (England only) levels from the Land Cover Map 2024 (10 m classified pixels) datasets for Great Britain and Northern Ireland. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation. In addition to UKCEH as copyright holders, the Land Cover Map 2024 (UK Land Cover Statistics) products use digital boundary products and reference maps. The source of the data is the Office for National Statistics and they are licensed under the Open Government Licence v.3.0. They contain OS data © Crown copyright and database right [2024]. Full details about this dataset can be found at https://doi.org/10.5285/0171ccb2-1c0c-404f-b782-e7204a86a92f

This dataset contains GPS data fixes (WGS84 format) from 32 European nightjars (Caprimulgus europaeus) . The data contains additional information on identity of the bird, date, time of fix acquisition, and the associated site and night number (between 6 and 17 nights of data, varying between individuals). These data were collected on the Humberhead peatlands NNR, South Yorkshire, from 2015 until 2018. Birds were caught in mist nets and tail-mounted miniaturised GPS tags (Pathtrack, Otley, UK; <3% bird bodyweight) were fitted by BTO-licensed researchers. Data were collected as part of a NERC ACCE-funded PhD. Full details about this dataset can be found at https://doi.org/10.5285/aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2019 to 2021. The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (DEFRA) contracts. Full details about this dataset can be found at https://doi.org/10.5285/3d8bf867-fa2b-4273-b329-62b8f3ebed51