Gridded land use map of Peninsular Malaysia with a resolution of approximate 25 meters for the year 2018. The map includes nine different classes: 1) non-paddy agriculture, 2) paddy fields, 3) rural residential, 4) urban residential, 5) commercial/institutional, 6) industrial/infrastructure, 7) roads, 8) urban and 9) others. The land use map was created as part of the project “Malaysia - Flood Impact Across Scales”. The project is funded under the Newton-Ungku Omar Fund ‘Understanding of the Impacts of Hydrometeorological Hazards in South East Asia’ call. The grant was jointly awarded by the Natural Environment Research Council and the MYPAIR Scheme under the Ministry of Higher Education of Malaysia. Full details about this dataset can be found at https://doi.org/10.5285/36df244e-11c8-44bc-aa9b-79427123c42c

This dataset contains Land Cover/Land Use (LCLU) maps for Sindhudurg, Shivamogga and Wayanad, India. LCLU products are state-of-the-art statically stable and area weighted accuracy assessed products. The LCLU product was generated for Kyasanur Forest Disease (KFD), a Zoonotic disease. KFD is an “ecotonal” disease. Diverse forest-plantation mosaics, zone moist evergreen forest and plantation, and low coverage of dry deciduous forest will cause higher risks for KFD. Our LCLU product aimed to separate diverse forest types and plantation and we achieved high accuracy (>90%). The study covers Sindhudurg, Shivamogga, and Wayanad Western Ghats district which belong to Indian state Maharashtra, Karnataka, and Kerala respectively. Full details about this dataset can be found at https://doi.org/10.5285/cacb66de-aea0-41d5-97b3-9eacd4683aaf

This data is an ensemble of Joint UK Land Environment Simulator (JULES) simulations, ran for a select set of 1kmx1km grid cells in Great Britain, each with a different set of parameter values, from 2001 to 2010. The data includes simulated Gross Primary Productivity (GPP) for 5 different plant functional types on an 8-day average. (Broadleaf trees, Needleleaf trees, C3 grasses, Shrubs, and Cropland) as well as the weighted combined sum. These simulations were obtained to facilitate statistical emulation, which is why a wide range of grid cells and parameter values were used (both also provided in the data set). The work was funded by the Natural Environment Research Council through research grant NE/T004177/1 JULES EMulator of ecosystem services (JEM) Full details about this dataset can be found at https://doi.org/10.5285/789bea37-0450-4822-9857-3dc848feb937

These data consist of stream water chemistry for selected Welsh upland rivers. The sampling sites were located in sixty one small and medium catchments. Catchments were chosen from the Welsh Acid Water Surveys (WAWS) program (41 sites) and the Wye catchment (20 sites). Results for pH, alkalinity, conductivity and major cation and anion measurements are presented for the WAWS catchments. Results for pH, alkalinity, conductivity and major anion measurements are presented for the Wye catchment. Samples from the Wye catchment were collected in May 2012. Samples from the WAWS catchments were taken during the summer and autumn of 2012 and spring and summer of 2013. The data were collected to characterise water chemistry variation along a gradient of aquatic biodiversity associated with different environmental settings for example land-use intensify and recovery from acidification. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting and preserving the water samples. Analysis of the water samples was carried out at the Forest Research Laboratories. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/d329ca18-c3d8-49f0-b2fd-5243d76dc650

This dataset for the UK, Jersey and Guernsey contains the Corine Land Cover (CLC) revised for 2006. This shapefile has been created from combining the 2006 land cover layers from the individual CLC database files for the UK, Jersey and Guernsey. CLC is a dataset produced within the frame of the Initial Operations of the Copernicus programme (the European Earth monitoring programme previously known as GMES) on land monitoring. CLC provides consistent information on land cover and land cover changes across Europe. This inventory was initiated in 1985 (initial year 1990) and then established a time series of land cover information with updates in 2000 and 2006 the last one being the 2012 reference year. CLC products are based on the analysis of satellite images by national teams of participating countries - the EEA member and cooperating countries - following a standard methodology and nomenclature with the following base parameters: * 44 classes in the hierarchical three level Corine nomenclature; * Minimum mapping unit (MMU) for status layers is 25 hectares; * Minimum width of linear elements is 100 metres; The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. Full details about this dataset can be found at https://doi.org/10.5285/2d0cf17f-aabd-4be6-859b-55c3403bbd9a

These data are metrics of landscape configuration and modelled provision of Ecosystem services for a large number of virtual landscapes (c. 7500) superimposed on real topography. The landscapes are made up of patches of woodland interspersed across a grassland, and were generated with the landscapeR package in R. The topography used is from the Conwy catchment, split into 10 sections to enable comparison between topographies. Metrics were generated for each virtual landscape to quantify landscape configuration. An Ecosystem Services model (LUCI) was run to calculate a metric of “area mitigated” as a proxy for the provision of runoff mitigation Ecosystem Services. Simulated landscapes were established to answer two questions: firstly to identify the relative controls of patch area and fragmentation on service provision and secondly to identify catchment feature controls on these relationships. The work was done by Dario Masante and Amy Thomas, with input from Laurence Jones, as part of work under the NERC Biodiversity and Ecosystem Services (BESS) project NERC Grant Ref: NE/K015508/1. Full details about this dataset can be found at https://doi.org/10.5285/67f9fe33-14dd-4676-9a6d-65fdbafe2a46

This dataset consists of fish species, fish length and fish weight from samples taken from small and medium catchments across Wales. Samples were collected in the summers and autumns of 2012 and 2013 using electrofishing. All the collected individuals were counted and recorded to represent the fish diversity and abundance of each sampling site and date. The main goal of this survey was to relate fish production with a gradient of aquatic biodiversity associated with different environmental settings (land-use intensify, recovery from acidification). Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting, sorting and measuring the fish samples. The work was carried out under the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. Full details about this dataset can be found at https://doi.org/10.5285/57f95ff8-e1b0-41b9-866a-feb231aecb67

Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Dry soil samples were analysed for a suit of extracellular hydrolytic enzyme activities. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. The data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme. Full details about this dataset can be found at https://doi.org/10.5285/15026591-f803-4b18-a359-cd69ea0e6069

This dataset consists of stock (area) data for landscape features across Great Britain in 1998. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 569 1km squares across Great Britain. 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 habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey. Full details about this dataset can be found at https://doi.org/10.5285/1e050028-5c55-42f4-a0ea-c895d827b824

This dataset is the 2012 revised Corine Land Cover (CLC) map, consisting of 44 classes in the hierarchical three level Corine nomenclature, produced during the CLC2018 production to improve the CLC2012 inventory. CLC 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/. Full details about this dataset can be found at https://doi.org/10.5285/9bb7caab-764d-407b-9a81-0d758722d900