This dataset presents estimates of total carbon stored in vegetation across Great Britain (GB). Presented as carbon density (tonnes per hectare) the data was obtained by estimating carbon density values for each land cover type and then projecting across GB using the 2007 Land Cover Map. Countryside Survey data from 2007 was also used to derive the carbon density estimates for each land cover type and as such the dataset is a representation for 2007. Changes in size and productivity of the aboveground carbon pool may act as a sink or source for carbon dioxide. As such, the carbon stored in vegetation and its spatial distribution plays a vital role in climate regulation. Full details about this dataset can be found at https://doi.org/10.5285/9be652e7-d5ce-44c1-a5fc-8349f76f5f5c

This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically supplied as polygons. Individual model outputs are taken from previously published research. Making ensembles results in a smoothing effect whereby the individual model uncertainties are cancelled out and a signal of interest is more likely to emerge. Included ecosystem service models were: InVEST, Co$ting Nature, WaterWorld, Monetary value benefits transfer, LPJ-GUESS and Scholes models. Ensemble outputs have been normalised, therefore these ensembles project relative levels of service across the full area and can be used, for example, for optimisation or assignment of most important or sensitive areas. The work was completed under the "EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models" project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme. Full details about this dataset can be found at https://doi.org/10.5285/11689000-f791-4fdb-8e12-08a7d87ad75f

Data comprise root weight (fresh and dry), root biomass and carbon stock, root mat measurements, root architecture, litter measurements and pivot, stump and surface root data for trees selected using the Voronoi or Pit method and sampled in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1 Full details about this dataset can be found at https://doi.org/10.5285/993c5778-e139-4171-a57f-7a0f396be4b8

This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024 is the first year of a new monitoring cycle. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (soil organic carbon, SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. These samples are co-located with a botanical survey as part of the integrated monitoring approach, which is also available on the EIDC. The UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Previous monitoring cycles have been carried out in 1978, 1984, 1990, 1998, 2007and 2019-2023 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares each monitoring cycle. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1. Full details about this dataset can be found at https://doi.org/10.5285/cab9f36c-075e-4359-8781-24a8488641c3

This dataset presents modelled predictions (spanning 2000-2022) for several important ecosystem services in the Lake Victoria basin in eastern Africa. The catchment includes areas of Kenya, Tanzania, Uganda, Rwanda, and Burundi (196,883 sq. km, excluding Lake Victoria itself). The dataset variables include carbon storage across multiple land pools, erosion avoided by the presence of vegetation cover, nitrogen and phosphorus retention by the landscape, annual baseflow (subsurface contribution to river flow) and annual quickflow (surface runoff). These data were generated by UKCEH scientists using the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform of GIS models. The purpose of this dataset is to allow users to investigate how these ecosystems services vary spatially across the landscape and also how they may change over time. Users can also investigate where synergies and trade offs among different ecosystem services occur, which can help inform management decisions such as where to best target the planting of new trees for maximum environmental benefit. The dataset comes in the form of 30, single-band geotiff raster files. For each of the six modelled variables, there five files (one file per year: 2000, 2005, 2010, 2015 and 2022), at 90 x 90 metre spatial resolution, using the ESRI:102022 - Albers for Africa equal area projection. Full details about this dataset can be found at https://doi.org/10.5285/c6ba2edc-09f0-4cdc-9aa7-9a108ca91d54

This dataset consists of soil physico-chemical properties (pH, loss on ignition, bulk density, moisture content, carbon stock and concentration, total nitrogen, Olsen phosphorus) from soils sampled from up to 591 1km squares across Great Britain in 2007. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, habitat areas, vegetation species data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Please note: the use of Olsen P data, particularly in relation to acidic soils, is controversial. Please ensure these data are suitable for your requirements and exercise caution in their use. Full details about this dataset can be found at https://doi.org/10.5285/79669141-cde5-49f0-b24d-f3c6a1a52db8

This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world files: ten approaches, with a double option for two of those, together with maps of variation among models and among ensembles. For water, the data comes as one shapefile with polygons per watershed, each polygon containing these fourteen estimates. For all maps, 600dpi jpg depictions are added to the supporting information. Directory location independent layer files are included to aid scaling and providing the colour palettes. Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches. The work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme. Full details about this dataset can be found at https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38

This dataset contains carbon and nitrogen stock data from soils collected from Salisbury Plain, UK. The sites were selected to reflect the four main grassland management types on Salisbury Plain ranging from arable cropland to species rich grassland, with six representative grassland plots for each type (24 sites in total). Each site had two replicates for each variable measured. The data collected was intended to illustrate a gradient of ecosystem functioning and vegetation change as the grassland becomes more extensively managed. The field sampling was conducted by the University of Manchester and the Centre for Ecology & Hydrology at Wallingford. Soil C and N were analysed by the University of Manchester. The data includes carbon and nitrogen budgets to depth at all sites. Full details about this dataset can be found at https://doi.org/10.5285/58709d9b-2b52-4f5d-8f3b-49354e664aea

Data comprise a forest inventory (tree name (local, scientific, genera, family), diameter, height), dendrometric tree characteristics (tree species, weight (branches, leaves, trunk), diameter, height, coordinates, distance, location) and aboveground biomass data (litter and root mat depth, biomass and carbon stock of living vegetation (sapling, tree and understorey), non-living vegetation (litter), lying dead wood and standing dead wood) sampled in the Ankeniheny Zahamena Forest Corridor (remains of the evergreen forest of eastern Madagascar). Living vegetation includes woody and herbaceous above soil vegetation including stems, branches, bark, seeds, and foliage (IPCC, 2006). Litter includes all non-living biomass with a size greater than the limit for soil organic matter (suggested 2 mm) and less than the minimum diameter chosen for lying dead wood (e.g. 10 cm) in various states of decomposition above or within the mineral or organic soil (IPCC, 2006). Dead wood includes all non-living woody biomass not contained in the litter, either standing, lying on the ground, or in the soil (IPCC, 2006). Understorey includes herbaceous vegetation in forests and fallows. Data were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4 P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220-1 Full details about this dataset can be found at https://doi.org/10.5285/cbeea40f-8e35-4875-8b49-815e04f0cbd9

Data from a field-based investigation into the spatio-temporal variability of abiotic and biotic controls on peatland carbon cycling. Data was collected between February 2011 and April 2013, across an area of blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland. Plant-soil properties data includes total carbon content, total nitrogen content and carbon to nitrogen ratio of vegetation, litter and peat, carbon and nitrogen stock for litter and peat, bulk density, soil moisture content, pH and soil microbial community composition of peat (Phospholipid Fatty Acids). Peatland carbon cycling data includes measures of litter decomposition, dissolved organic carbon concentration, methane fluxes, net ecosystem exchange, photosynthesis and ecosystem respiration. Physical parameters measured includes below ground temperature from April 2011 to June 2012 and soil moisture content from May 2011 to April 2013. Full details about this dataset can be found at https://doi.org/10.5285/99416ba1-b670-4a82-8225-9644293fb4de