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This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley"],"fullName":["Fry, E.","Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S."],"givenName":["E.","E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","Ellen"],"identifier":"5012d5c1-da82-4773-b286-01222595a8c8","incomingCitationCount":0,"keyword":["Wessex BESS","total carbon","bulk density","mineralisation","dissolved organic carbon","ammonium","nitrate","total nitrogen","dissolved organic nitrogen"],"keywordsOther":["total carbon","bulk density","mineralisation","dissolved organic carbon","ammonium","nitrate","total nitrogen","dissolved organic nitrogen"],"keywordsProject":["Wessex BESS"],"licence":"Open government licence","lineage":"Ammonium, nitrate and total nitrogen were measured using a Seal Analytical AA3 autoanalyser with UV digester, running 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. Carbon was measured using a Shimadzu TOC analyser, running 5% analytical replicates and blanks every 20 samples. Extracts were adjusted for soil moisture. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-2.08 50.986, -2.08 50.998, -2.063 50.998, -2.063 50.986, -2.08 50.986))"],"metadataDate":"2026-07-24T23:02:44.000Z","orcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5012d5c1-da82-4773-b286-01222595a8c8","10.5285/5012d5c1-da82-4773-b286-01222595a8c8","doi:10.5285/5012d5c1-da82-4773-b286-01222595a8c8"],"resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains nutrient data from soils and microbial biomass in soils from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Soil nutrient data from Winklebury Hill, UK, in 2014","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowe","Toberman","Adams","Lawlor","Thacker","Patel","Tipping"],"authorFullName":["Rowe, E.C.","Toberman, H.","Adams, J.L.","Lawlor, A.J.","Thacker, S.A.","Patel, M.","Tipping, E."],"authorGivenName":["E.C.","H.","J.L.","A.J.","S.A.","M.","E."],"authorOrcid":["0000-0001-6618-6512"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise bracken biomass, soil and bracken chemistry (for example mass, bulk density, pH, carbon, nitrogen and the concentration of a range of other elements) precipitation, percentage ground cover of plant species and site information. Samples were collected between 21st July and 6th August 2014 at 49 plots in the English lake district and Snowdonia in Wales. Plots were located in stands with minimum 80% bracken cover and which had not been trampled by grazing animals. The study was funded by the UK Natural Environment Research Council under the Macronutrient Cycling Research Programme, as part of the Long-Term, Large-Scale (LTLS) project (Grant no. NE/J011533/1), and by the University of Liverpool (Grant no. NE/J011630/1). ","documentType":"GEMINI_DOCUMENT","familyName":["Rowe","Toberman","Adams","Lawlor","Thacker","Patel","Tipping"],"fullName":["Rowe, E.C.","Toberman, H.","Adams, J.L.","Lawlor, A.J.","Thacker, S.A.","Patel, M.","Tipping, E.","Rowe, E."],"funder":["Natural Environment Research Council"],"givenName":["E.C.","H.","J.L.","A.J.","S.A.","M.","E.","Ed"],"grant":["NE/J011533/1"],"identifier":"5b89d8f3-86f0-431c-844f-eda5ddae9042","incomingCitationCount":1,"keyword":["Snowdonia","Lake District","Environmental survey","Soil","macronutrient","micronutrient","productivity","NPP","limitation","potassium","molybdenum","stochiometry","Bracken","Pteridium","nitrogen","soil","phosphorus"],"keywordsOther":["macronutrient","micronutrient","productivity","NPP","limitation","potassium","molybdenum","stochiometry","Bracken","Pteridium","nitrogen","soil","phosphorus"],"keywordsPlace":["Snowdonia","Lake District"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"References to accompany lineage are available from supporting information. Mean annual precipitation data were obtained for each location from the CEH-GEAR dataset, an interpolated grid based on a network of meteorological stations (Tanguy et al., 2014). The altitude of each location was determined in the field using a GPS device. Site-specific N deposition estimates were obtained from APIS (APIS, 2015). Plots of 1x 1 m were demarcated, and all plant species occurring in the plot were recorded. Bracken fronds that emerged from within the plot were cut at ground level, bulked and weighed. A subsample of approximately 500g was weighed, dried at 60°C to constant weight, and re-weighed to determine moisture content for calculating total dry bracken biomass. All other vegetation in the plot was cut at ground level and at the plot boundaries, and dried at 60°C to constant weight. A 25g subsample of dry bracken fronds was ground for chemical analysis. Carbon and N contents were determined by oxidative combustion followed by thermal conductivity detection using a Vario EL elemental analyser (Elementar Analysensysteme GmbH, Hanau, Germany). Subsamples were digested using a method based on EPA (2007) in a 3:1 mixture of hydrochloric acid and nitric acid in sealed Teflon vessels, heated to 175°C over a period of 7 minutes and held at 175°C for 4.5 minutes. After cooling, the vessel contents were filtered and diluted to volume. Concentrations of P, K, Ca and Mg were measured by Inductively Coupled Plasma Optical Emission Spectrometry using an Optima 7300DV analyser (Perkin Elmer, Waltham, Massachusetts USA).\n\nSoil was sampled from three places within the plot using a 5 cm diameter split-tube auger. Plant litter was removed, and the auger was inserted to 15 cm depth. In a few plots this was not possible due to the presence of stones, and instead holes were excavated to 15 cm depth and their dimensions recorded. The fresh sample was weighed, and a subsample removed and weighed. Moisture content was determined by measuring the weight of the subsample after drying for three days at 60 oC, and the organic C concentration was determined by measuring weight after ignition at 350 oC for three days. The total dry weight of soil was determined, and used to calculate bulk density on the basis of the total volume of the auger or excavated holes. The pH of fresh soil was measured in a slurry of 10 g soil in 25 mL deionised water. The remaining fresh soil sample was air-dried, and stones and roots not passing through a 2 mm sieve were removed. The soil was then ground, and subsamples were taken for chemical analysis. Concentrations of soil total C, N, P, K, Ca and Mg were determined using the same methods as for plant tissue analysis. Organic P was obtained as the difference between total P and inorganic P concentrations. A 0.5 g milled sub-sample was used for the extraction of inorganic P using 25 ml of 0.5 M sulphuric acid, which was shaken for 16 hours, centrifuged at 10 000 rpm for 30 minutes and filtered into 50 ml test tubes. The filtrate was analysed for total inorganic P using molybdate colorimetry with a Seal Analytical AQ2 discrete analyser. \n\nSoil total N/C ratio was used as an indicator of N availability. The other nutrient elements were expressed as stocks, since mass concentration may under-represent availability in dense mineral soils and element/C ratio may underrepresent availability in more organic soils (Rowe et al., 2012). Stocks (g m-2) in the top 15 cm of soil were calculated using the bulk density measurement. The stock of organic P, and total element stocks of K, Ca and Mg, were used as indicators of availability.\n\nSpecies occurrence was used to characterise environmental conditions on the basis of indicator scores (Diekmann, 2003). Environmental trait scores for European species were defined by Ellenberg et al. (1992) on axes corresponding to fertility ('Ellenberg N'), alkalinity ('Ellenberg R'), moisture ('Ellenberg F') and light availability ('Ellenberg L'). In the current study, plot-specific values on each of these axes were calculated as the mean values for the species present of indicator scores as recalculated for UK species by Hill et al. (2000). Cover-weighting was not applied, in part to prevent the scores for bracken itself dominating the mean scores, but also since basing indicator scores on presence-absence data reduces the effect of short-term environmental variation (Kafer and Witte, 2004).","locations":["POLYGON((-4.166 53.119, -4.166 54.662, -2.532 54.662, -2.532 53.119, -4.166 53.119))"],"metadataDate":"2026-09-02T13:40:50.000Z","orcid":["0000-0001-6618-6512"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b89d8f3-86f0-431c-844f-eda5ddae9042","10.5285/5b89d8f3-86f0-431c-844f-eda5ddae9042","doi:10.5285/5b89d8f3-86f0-431c-844f-eda5ddae9042"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise bracken biomass, soil and bracken chemistry (for example mass, bulk density, pH, carbon, nitrogen and the concentration of a range of other elements) precipitation, percentage ground cover of plant species and site information. Samples were collected between…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Survey of bracken biomass, soil chemistry and other environmental factors in Snowdonia and the Lake District in 2014 [LTLS]","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of St Andrews","University of Glasgow","Scottish Association For Marine Science"],"authorFamilyName":["Smeaton","Miller","Ladd","O'Dell","Austin"],"authorFullName":["Smeaton, C.","Miller, L.C.","Ladd, C.J.T.","O'Dell, A.","Austin, W.E.N."],"authorGivenName":["C.","L.C.","C.J.T.","A.","W.E.N."],"authorOrcid":["0000-0003-4535-2555","0000-0003-2876-4312","0000-0001-5437-6474","0000-0002-4266-250X","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04ke6ht85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bulk elemental (carbon and nitrogen) and stable isotope (delta 13C and delta 15N) data produced from 491 samples collected between 2016-2021 from terrestrial (soil, peat, living biomass, dead biomass), intertidal (saltmarsh vegetation, saltmarsh roots, seagrass biomass, mudflat, faecal matter) and marine (macroalgae, microalgae zooplankton, finfish aquaculture waste) environments across the UK. \n\nThese samples alongside analytical standard derived from natural materials (lignin, humic acid, cellulose, glucose, protein) were analysed to determine their bulk elemental (organic carbon and nitrogen) and stable isotope (delta 13C org and delta 15N) composition. These values are envisioned to be used to constrain organic carbon sources (terrestrial vs marine) in the natural environment when used alongside isotope mixing models. \n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Miller","Ladd","O'Dell","Austin"],"fullName":["Smeaton, C.","Miller, L.C.","Ladd, C.J.T.","O'Dell, A.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","L.C.","C.J.T.","A.","W.E.N."],"identifier":"a445a7a8-528d-4e0b-9094-28cbcd449367","incomingCitationCount":0,"keyword":["United Kingdom","Scotland","carbon","fjord","macroalgae","isotopes","bulk elemental","C/N","nitrogen","alga","salt marsh","soil","blue carbon","organic carbon","sediment","coastal area","intertidal zone","root","wetland"],"keywordsOther":["carbon","fjord","macroalgae","isotopes","bulk elemental","C/N","nitrogen","alga","salt marsh","soil","blue carbon","organic carbon","sediment","coastal area","intertidal zone","root","wetland"],"keywordsPlace":["United Kingdom","Scotland"],"licence":"Open government licence","lineage":"Samples were collected from coastal catchments around the United Kingdom, the material was described in the field using expert knowledge. The samples were stored at -20°C prior to analysis. The samples were oven dried at (40°C for 72 hours) prior to being milled to a fine powder. Bulk elemental (OC and N) and stable isotope (delta 13C org and delta 15N) composition was determined following the standard methodology detailed in the supporting documentation.  All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:17:58.000Z","orcid":["0000-0003-4535-2555","0000-0003-2876-4312","0000-0001-5437-6474","0000-0002-4266-250X","0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Glasgow","Scottish Association For Marine Science","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-04-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a445a7a8-528d-4e0b-9094-28cbcd449367","10.5285/a445a7a8-528d-4e0b-9094-28cbcd449367","doi:10.5285/a445a7a8-528d-4e0b-9094-28cbcd449367"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04ke6ht85","https://ror.org/04xw4m193"],"shortenedDescription":"Bulk elemental (carbon and nitrogen) and stable isotope (delta 13C and delta 15N) data produced from 491 samples collected between 2016-2021 from terrestrial (soil, peat, living biomass, dead biomass), intertidal (saltmarsh vegetation, saltmarsh roots, seagrass biomass,…","state":"published","supplementalName":["Project Website"],"temporalExtentText":"Data collected from 2016 to 2021","title":"Bulk elemental and stable isotope composition of organic matter from terrestrial, intertidal, and marine environments, UK, 2016-2021","version":1.0,"view":["public","thowag"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Palacký University Olomouc (UPOL)"],"authorFamilyName":["Evans","Čejka","Václavík","Bullock"],"authorFullName":["Evans, P.M.","Čejka, T.","Václavík, T.","Bullock, J.M."],"authorGivenName":["P.M.","T.","J.M."],"authorOrcid":["0000-0001-6706-420X","0000-0002-9254-8000","0000-0002-1113-6320","0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04qxnmv42"],"availability":"Available","catalogue":"eidc","dataFormat":["GeoPackage"],"description":"The dataset presented provides average per-farm ecosystem service (ES) values for each NUTS3 region for Europe for the year 2019. The modelled ES are: carbon sequestration [t C ha-1 yr-1], food production (standard economic output) [euros yr-1], and nutrient (nitrogen) export [kg N yr-1]. The data is stored in vector files (GeoPackage). The per-farm ES values were modelled for five sub-country case studies and upscaled for each NUTS3 region where sufficient evidence supported a successful transfer and upscaling. \n\nNote that the criteria for upscaling the carbon sequestration were not met for any NUTS3 region and therefore the carbon sequestration is returned as NULL for each region.","documentType":"GEMINI_DOCUMENT","familyName":["Evans","Čejka","Václavík","Bullock"],"fullName":["Evans, P.M.","Čejka, T.","Václavík, T.","Bullock, J.M."],"funder":["European Union"],"givenName":["P.M.","T.","J.M."],"grant":["817501"],"identifier":"ae96d813-6468-421f-92c0-79f367cadbc3","incomingCitationCount":0,"keyword":["ecosystem services","carbon sequestration","nitrogen export","food production (agriculture)","food and fodder production"],"keywordsOther":["ecosystem services","carbon sequestration","nitrogen export","food production (agriculture)","food and fodder production"],"licence":"Non-Open government licence","lineage":"The data is a result of upscaling ecosystem services (ES) across the whole of Europe from five sub-country case studies. Each case study was divided into the NUTS3 regions it covered, which ranged from two to five regions per case study. In total, the data were split into 19 different NUTS3 regions.\nThe case study data used farm data from 2019, and used the most recent environmental and economic data available, which ranged from 2013 – 2019. The original case study nitrogen export model was a process-based model, namely the InVEST Nutrient Delivery Ratio model. Food production was simulated using the mechanistic WOFOST (WOrld FOod STudies) model. Carbon sequestration was modelled using a statistical model. For a more detailed account of the case study models, please see the supporting documentation. \nA novel methodology was used for the upscaling. The method used compared the predictive power (R2) of meta-models produced in each case study NUTS3 with the Minkowski distance (a metric of distance in multivariate space) of those regions. \nQuality control of each ecosystem service data was mostly carried out through the development of a novel meta-modelling and transferability methodology. The limitations on the data’s reliability vary depending on the specific ecosystem service that was modelled, and are further explained in the supporting documentation. \n","locations":["POLYGON((-12.405 34.579, -12.405 71.124, 45.603 71.124, 45.603 34.579, -12.405 34.579))"],"metadataDate":"2026-07-25T13:23:57.000Z","orcid":["0000-0001-6706-420X","0000-0002-9254-8000","0000-0002-1113-6320","0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Palacký University Olomouc (UPOL)","NERC EDS Environmental Information Data Centre","University of Leeds"],"publicationDate":"2024-08-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae96d813-6468-421f-92c0-79f367cadbc3","10.5285/ae96d813-6468-421f-92c0-79f367cadbc3","doi:10.5285/ae96d813-6468-421f-92c0-79f367cadbc3"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/00pggkr55","https://ror.org/04qxnmv42","https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"The dataset presented provides average per-farm ecosystem service (ES) values for each NUTS3 region for Europe for the year 2019. The modelled ES are: carbon sequestration [t C ha-1 yr-1], food production (standard economic output) [euros yr-1], and nutrient (nitrogen)…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"European-wide maps of modelled farm-level ecosystem services, 2019","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver","Gu"],"authorFullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.","Gu, C."],"authorGivenName":["Y.","L.A.","S.","D.","C."],"authorOrcid":["0000-0002-7913-8234","0000-0002-4065-2674","0000-0002-2683-0761","0000-0002-6200-562X","0000-0002-4358-4531"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted in the rural villages in Puding County, Guizhou Province, Changwu County, Shaanxi Province, and Yujiang County, Jiangxi Province.","documentType":"GEMINI_DOCUMENT","familyName":["Zheng","Naylor","Waldron","Oliver","Gu"],"fullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.","Gu, C."],"funder":["Natural Environment Research Council"],"givenName":["Y.","L.A.","S.","D.","C.","Chao"],"grant":["NE/S009140/1"],"identifier":"e674e08c-fbf5-411b-940c-7e31014f0e76","incomingCitationCount":1,"keyword":["China","Guizhou Province","Jiangxi Province","social survey"],"keywordsOther":["social survey"],"keywordsPlace":["China","Guizhou Province","Jiangxi Province"],"licence":"Open government licence","lineage":"The interviews to Puding farmers and leaders were recorded and transcribed afterwards with their agreement.\nLocal undergrad students and villagers helped with the surveys in Changwu.\nQuestionnaire surveys were conducted to British and Chinese scientists to explore the knowledge management methods used in their environment research.\n","locations":["POLYGON((98.59 22.452, 98.59 32.08, 114.676 32.08, 114.676 22.452, 98.59 22.452))"],"metadataDate":"2026-07-25T14:50:15.000Z","orcid":["0000-0002-7913-8234","0000-0002-4065-2674","0000-0002-2683-0761","0000-0002-6200-562X","0000-0002-4358-4531"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e674e08c-fbf5-411b-940c-7e31014f0e76","10.5285/e674e08c-fbf5-411b-940c-7e31014f0e76","doi:10.5285/e674e08c-fbf5-411b-940c-7e31014f0e76"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Data comprise results of social surveys carried out in China during 2016 – 2018 to environmental scientists and the local stakeholders (farmers and village to county level officials) to understand their knowledge learning dynamics and preference. Surveys were conducted…","state":"published","temporalExtentText":"Data collected from 2016 to 2018","title":"Social surveys to environmental scientists and local stakeholders in Chinese villages to understand knowledge management dynamics","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Exeter","University of Edinburgh","Universidad de Antioquia","Universidad del Rosario"],"authorFamilyName":["Cox","González-Caro","Meir","Hartley","Restrepo","Villegas","Sanchez","Mercado"],"authorFullName":["Cox, A.J.F.","González-Caro, S.","Meir, P.","Hartley, I.P.","Restrepo, Z.","Villegas, J.C.","Sanchez, A.","Mercado, L.M."],"authorGivenName":["A.J.F.","S.","P.","I.P.","Z.","J.C.","A.","L.M."],"authorOrcid":["0000-0002-5166-7169","0000-0002-2287-7431","0000-0002-2362-0398","0000-0002-9183-6617","0000-0002-3213-9985","0000-0003-4069-0838"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf dry matter content, leaf area, leaf width) nutrient (nitrogen and phosphorus, expressed on area- and mass-bases) and water-use efficiency (13C and g1) traits. Values for these traits were obtained by a combination of laboratory analysis, raw measurements with handheld equipment, and processing with packages in the ‘R’ environment. ","documentType":"GEMINI_DOCUMENT","familyName":["Cox","González-Caro","Meir","Hartley","Restrepo","Villegas","Sanchez","Mercado"],"fullName":["Cox, A.J.F.","González-Caro, S.","Meir, P.","Hartley, I.P.","Restrepo, Z.","Villegas, J.C.","Sanchez, A.","Mercado, L.M."],"givenName":["A.J.F.","S.","P.","I.P.","Z.","J.C.","A.","L.M."],"identifier":"55ed98e7-f150-43c8-9b93-d639c1c8af3e","incomingCitationCount":0,"keyword":["Andean montane forests","leaf functional traits","thermal acclimation ","plasticity"],"keywordsOther":["Andean montane forests","leaf functional traits","thermal acclimation ","plasticity"],"licence":"Open government licence","lineage":"Leaf material was collected from eight species at the experimental sites. Immediately after collection, leaves were sealed in individual plastic bags with damp cotton wool to prevent premature drying.\nFor leaf structural traits, the following procedures were followed. High-precision electronic callipers were used to measure leaf thickness from three areas of each leaf, avoiding the central vein, with the average of these three measurements taken to be leaf thickness (mm). Images were taken of each leaf using a CanoScan LiDE 300 flatbed scanner and then processed using the ‘R’ environment (v4.2.1; R Core Team, 2022) to calculate leaf area (cm2) and leaf width (mm): leaf area was obtained using the ‘LeafArea’ package in R which automates the ImageJ programme while leaf width values were calculated using the ‘LeafJ’ plugin for ImageJ. Following scanning, leaves were weighed to give their wet weight before being dried in an oven to constant mass for approximately 48 hours at 70°C, then re-weighed to give their dry weight. Leaf dry matter content (mg g-1) was calculated as the quotient of leaf dry weight to leaf wet weight while leaf mass per unit area (g m-2) was calculated by dividing dry weight by LA.\nFor leaf nutrients and 13C values, leaves were ground into a powder using a shaker mill and ~1 mg of sample for each was then packed into tin capsules and run through an infrared mass spectrometer. This returned %N values, and thus, mass-based nitrogen content, as well as 13C. For leaf P content, 0.1-0.2 g of sample was subjected to ICP-OES analysis with a unique Dichroic Spectral; this returned mass-based phosphorus content. Both leaf N and P can be expressed on an area-basis by dividing by LMA.\nFor g1, the unified stomatal model was then fitted to diurnal course An and gs measurements in the R environment using the ‘plantecophys’ package to obtain the model parameter g1. The An and gs measurements were collected using LI-6400XT portable photosynthesis system with the ambient conditions (photosynthetically active radiation, relative humidity, air temperature and 410ppm CO2) for each leaf replicated within the cuvette of the LI-6400XT before the leaf was inserted, allowing readings to be taken almost immediately. \n","locations":["POLYGON((-78.003 0.264, -78.003 11.867, -71.675 11.867, -71.675 0.264, -78.003 0.264))"],"metadataDate":"2026-07-24T23:05:27.000Z","orcid":["0000-0002-5166-7169","0000-0002-2287-7431","0000-0002-2362-0398","0000-0002-9183-6617","0000-0002-3213-9985","0000-0003-4069-0838"],"organisation":["University of Exeter","University of Edinburgh","Universidad de Antioquia","Universidad del Rosario","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-10-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55ed98e7-f150-43c8-9b93-d639c1c8af3e","10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e","doi:10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Stirling","University of Dundee"],"authorFamilyName":["Bishop","Grieve","Chudek","Hopkins"],"authorFullName":["Bishop, H.O.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W."],"authorGivenName":["H.O. ","I.C. ","J.A. ","D.W."],"authorRor":["https://ror.org/045wgfr59","https://ror.org/03h2bxq36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data describes earthworm diversity in soil samples taken at the Sourhope experimental site in 1999 and 2001 by the Universities of Glasgow and Dundee.  Data were collected during a project funded under the NERC Soil Biodiversity Programme.\n\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Bishop","Grieve","Chudek","Hopkins","Sier"],"fullName":["Bishop, H.O.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["H.O. ","I.C. ","J.A. ","D.W.","Andy"],"identifier":"649d6c94-1fe9-4b39-914a-d1d59bbbd419","incomingCitationCount":0,"keyword":["Sourhope","Scottish borders","Biodiversity","Soil","Earthworms"],"keywordsOther":["Earthworms"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.237 55.468, -2.237 55.475, -2.222 55.475, -2.222 55.468, -2.237 55.468))"],"metadataDate":"2026-07-25T06:44:38.000Z","organisation":["University of Stirling","University of Dundee","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/649d6c94-1fe9-4b39-914a-d1d59bbbd419","10.5285/649d6c94-1fe9-4b39-914a-d1d59bbbd419","doi:10.5285/649d6c94-1fe9-4b39-914a-d1d59bbbd419"],"resourceType":"Dataset","ror":["https://ror.org/045wgfr59","https://ror.org/03h2bxq36","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data describes earthworm diversity in soil samples taken at the Sourhope experimental site in 1999 and 2001 by the Universities of Glasgow and Dundee.  Data were collected during a project funded under the NERC Soil Biodiversity Programme.\n\nThe NERC Soil…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme","Bishop, H. O., Grieve, I. C., Chudek, J. A., & Hopkins, D. W. (2008). Liming upland grassland: the effects on earthworm communities and the chemical characteristics of carbon in casts. European journal of soil science, 59(3), 526-531","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113."],"supplementalName":["Soil Biodiversity website ","Liming upland grassland: the effects on earthworm communities and the chemical characteristics of carbon in casts","Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme "],"title":"Earthworm data from Sourhope field experiment site, Scotland, 1999 and 2001 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute"],"authorFamilyName":["Gray","Odee","Perry","Otieno","Kihara","Adienge","Tendwa","Kariuki","Grant","Cavers"],"authorFullName":["Gray, A.","Odee, D.","Perry, A.","Otieno, J.O.","Kihara, J.G.","Adienge, A.","Tendwa, E.M.","Kariuki, J.","Grant, H.","Cavers, S."],"authorGivenName":["A.","D.","J. O.","J. G.","E. M.","J.","H.","S."],"authorOrcid":["0000-0002-6785-0590","0000-0002-7889-7597","0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C.","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Odee","Perry","Otieno","Kihara","Adienge","Tendwa","Kariuki","Grant","Cavers"],"fullName":["Gray, A.","Odee, D.","Perry, A.","Otieno, J.O.","Kihara, J.G.","Adienge, A.","Tendwa, E.M.","Kariuki, J.","Grant, H.","Cavers, S."],"givenName":["A.","D.","J. O.","J. G.","E. M.","J.","H.","S."],"identifier":"9f5d1666-facc-436a-8f83-30e756b1b1c9","incomingCitationCount":0,"keyword":["Kitui","Kibwezi","Plant Traits","Tree Improvement","Sub-Saharan Africa","Melia volkensii","Bamba","Kirumbuta","Kirumbutu","Mukau","Maramarui","Mkowe","agroforestry","plant physiology","tree","leaf"],"keywordsOther":["Plant Traits","Tree Improvement","Sub-Saharan Africa","Melia volkensii","Bamba","Kirumbuta","Kirumbutu","Mukau","Maramarui","Mkowe","agroforestry","plant physiology","tree","leaf"],"keywordsPlace":["Kitui","Kibwezi"],"licence":"Open government licence","lineage":"The data were generated from dried leaves collected and pressed in the field. Leaves were then transported to UKCEH Edinburgh for measurement. All measurements were made in Edinburgh except δ13C which were determined at the UKCEH’s stable isotope laboratory in Lancaster.","locations":["POLYGON((33.706 -5.135, 33.706 5.178, 42.319 5.178, 42.319 -5.135, 33.706 -5.135))"],"metadataDate":"2026-09-02T13:48:32.000Z","orcid":["0000-0002-6785-0590","0000-0002-7889-7597","0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f5d1666-facc-436a-8f83-30e756b1b1c9","10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9","doi:10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C.","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Leaf trait data for Melia volkensii Guerke from Kenya 2018-2020","version":1.0,"view":["public","matnic"]},{"altTitle":["IHU Groups"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorGivenName":["F.","M.","H."],"authorOrcid":["0000-0003-1142-4039","0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Groups represent the intermediate units of IHU in terms of spatial resolution. The most common size of a group is around 400 square kilometres. Each Group carries a name constructed from names of the major river flowing through the Group, the major river flowing into the Group, the major river into which the Group flows, and sometimes also from local county names. Each Group consists of one or more Section and Groups can be combined to form Hydrometric Areas without Coastline. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Kral","Fry","Dixon"],"fullName":["Kral, F.","Fry, M.","Dixon, H."],"givenName":["F.","M.","H.","Matt"],"identifier":"f1cd5e33-2633-4304-bbc2-b8d34711d902","incomingCitationCount":0,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","hydrology","watershed","catchment"],"keywordsOther":["hydrology","watershed","catchment"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words 'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood. \n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:05:15.000Z","orcid":["0000-0003-1142-4039","0000-0002-7415-063X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380901992","CEH:EIDC::1425380901992","https://catalogue.ceh.ac.uk/id/f1cd5e33-2633-4304-bbc2-b8d34711d902","10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902","doi:10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Groups represent the intermediate units of IHU in terms of spatial…","state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["NRFA website"],"temporalExtentText":"Data collection started in 2014","title":"Integrated Hydrological Units of the United Kingdom: Groups","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University"],"authorFamilyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"authorFullName":["Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N."],"authorGivenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"authorOrcid":["0000-0002-0011-7407","0000-0002-2674-9285","0000-0002-1526-4071","0000-0002-5143-5819","0000-0002-3341-4547","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities.\n\nThis work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1].","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"fullName":["Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N.","Samuel Robinson"],"funder":["Natural Environment Research Council"],"givenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"grant":["NE/K016253/1","NE/L002604/1","NE/X006247/1"],"identifier":"08bfe302-d33f-490d-97be-27bb83a0f38d","incomingCitationCount":0,"keyword":["Biodiversity","bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsOther":["bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Soil samples and forest structural and environmental data were collected at nine sites during one campaign in March 2018 . Three sampling sites were chosen in each of three forest types of old-growth, naturally regenerating and actively restored logged forest. Old-growth forest was located in the Danum Valley Conservation Area, and logged forest sites were situated within the adjacent Innoprise Face Foundation Rainforest Rehabilitation Project (INFAPRO) area. A geospatial transect design was employed for soil sampling and measurement of microclimate variables at each site to assess variation in microbial communities over cm to m scales. This comprised three transects radiating out from one centre point positioned at 120 ° to one another. Sampling points were located at the centre point, then at increasing distances of 10 cm, 30 cm, 90 cm, 2.7 m, 8.4 m and 24.3 m along each transect relative to the centre. The circumferences of all tree stems with diameter at breast height (DBH) >5 cm within a 2.5 m buffer of all transects were recorded at each site for site-level calculation of stem density and basal area. Soil physicochemical properties were analysed at the Sabah Forest Research Centre, Sepilok. Organic layer soil microbial community data were generated by 16S and ITS amplicon sequencing at UKCEH Wallingford, and Phospholipid Fatty Acid (PLFA) analysis at Lancaster University in the UK. Fungal functional guild classifications were assigned to fungal sequences using the FUNGuild annotation tool. Alpha diversity indices for microbial groups and relative abundances of fungal guilds were generated after rarefying by minimum read counts for each group . Rates of spatial turnover in soil microbial taxa for different microbial groups were calculated using the distance decay approach via linear modelling.","locations":["POLYGON((117.78 4.939, 117.78 5.012, 117.852 5.012, 117.852 4.939, 117.78 4.939))"],"metadataDate":"2026-07-24T18:57:45.000Z","orcid":["0000-0002-0011-7407","0000-0002-2674-9285","0000-0002-1526-4071","0000-0002-5143-5819","0000-0002-3341-4547","0000-0003-3263-3702"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08bfe302-d33f-490d-97be-27bb83a0f38d","10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d","doi:10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Lancaster University"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Soil microbial communities, soil, environmental and forest structural properties across old-growth forest and naturally regenerating or actively restored selectively logged tropical forest in Sabah, Borneo, March 2018 v2","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"authorFullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"authorGivenName":["J.","M.","E.J. ","S.","R.","T.","Y."],"authorOrcid":["0000-0002-7398-4237","0000-0001-7741-9377","0000-0003-0870-1955","0000-0002-3237-7596","0000-0001-9500-0633","0000-0002-0411-4860"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 1x1 km2 grid for the year 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.1.1.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Vieno","Carnell","Tomlinson","Beck","Liska","Wang"],"fullName":["Scheffler, J.","Vieno, M.","Carnell, E.J.","Tomlinson, S.","Beck, R.","Liska, T.","Wang, Y."],"funder":["Natural Environment Research Council"],"givenName":["J.","M.","E.J. ","S.","R.","T.","Y.","Janice"],"grant":["NE/R016429/1"],"identifier":"2adc10bf-e6f4-4e8d-b268-ee5d58d31c50","incomingCitationCount":0,"keyword":["Pollution","Mapping","Coarse nitrate particulate","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","oxides of sulphur","reduced nitrogen","UK-SCAPE","nitrogen oxides","nitrogen","sulphur","dust","ammonia","aerosol"],"keywordsOther":["Coarse nitrate particulate","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","oxides of sulphur","reduced nitrogen","UK-SCAPE","nitrogen oxides","nitrogen","sulphur","dust","ammonia","aerosol"],"keywordsTheme":["Pollution","Mapping"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations for a model domain covering the UK with a resolution of about 1x1 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T11:53:21.000Z","orcid":["0000-0002-7398-4237","0000-0001-7741-9377","0000-0003-0870-1955","0000-0002-3237-7596","0000-0001-9500-0633","0000-0002-0411-4860"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50","10.5285/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50","doi:10.5285/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual averages of vegetation specific atmospheric deposition of…","state":"published","supplementalDescription":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145pp.","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory","The EU EMEP emissions center ","© Crown 2022 copyright Defra & BEIS via naei.beis.gov.uk, licenced under the Open Government Licence (OGL)"],"supplementalName":["WRF reference:","NCEP Reference","The emissions used in the EMEP4UK model are derived from","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"temporalExtentText":"Data collected from 2018 to 2018","title":"High resolution European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["PSurf WFD","Surface pressure WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. PSurf or surface pressure is the surface pressure (instantaneous) measured in Pa at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"8ebdd74c-ffec-4d5f-b832-e4916df694c8","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","hydrology","modelling","meteorology","atmosphere"],"keywordsOther":["Land surface modelling","hydrology","modelling","meteorology","atmosphere"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T08:43:09.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1314893351656","CEH:EIDC::1314893351656","https://catalogue.ceh.ac.uk/id/8ebdd74c-ffec-4d5f-b832-e4916df694c8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"temporalExtentText":"Data collected from 1911 to 2001","title":"WATCH forcing data (WFD) - 20th century PSurf (surface pressure) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Trust for Ornithology"],"authorFamilyName":["Gardner","Robinson","Broughton","Hinsley","Redhead","Woodward","Pywell","Bullock"],"authorFullName":["Gardner, E.","Robinson, R.A.","Broughton, R.K.","Hinsley, S.A.","Redhead, J.W.","Woodward, I.","Pywell, R.F.","Bullock, J.M."],"authorGivenName":["E.","R.A.","R.K.","S.A.","J.W.","I.","R.F.","J.M."],"authorOrcid":["0000-0002-1669-7151","0000-0003-0504-9906","0000-0002-6838-9628","0000-0003-0820-2590"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R script"],"description":"Bird4pop is a process-based model, written in R, that simulates the foraging, dispersal and population processes of nidicolous passerines. It accounts for both amount and configuration of habitat resources to predict spatially-explicit relative abundance and foraging rates, for a given input landscape. The input landcover information must be in raster format. The model can ingest a base landcover raster as well as edgecover rasters, which represent the locations of small habitat features that occupy only a fraction of a pixel. Model outputs are raster stacks with the same spatial extent and resolution as the input landcover raster.\n\nThe bird4pop model was co-developed by the UK Centre for Ecology & Hydrology and the British Trust for Ornithology. It has been parameterised for seven UK birds/bird groups (woodland specialists, woodland generalists, edge-nesting farmland birds, skylark (Alauda arvensis) – an open-nesting farmland bird, nuthatch (Sitta europaea) – a woodland specialist, robin (Erithacus rubecula) – a woodland generalist, yellowhammer (Emberiza citrinella) – an edge-nesting farmland bird). These parameter files (bird_guild_params.csv and bird_habitat_params.csv) are included. The model’s predictions have been validated against observations of these birds/bird groups collected across Great Britain through the BTO/RSPB/JNCC Breeding Bird Survey.\n\nData in bird_guild_params.csv includes movement ranges (breeding season foraging range, juvenile dispersal range in meters), population growth parameters (nest density per ha, mean number of chicks produced per year, growth parameters in arbitrary units) and survival parameters (yearly adult survival probability, yearly juvenile survival probability) for seven birds/bird groups (woodland specialists, woodland generalists, edge-nesting farmland birds, skylark – an open-nesting farmland bird, nuthatch – a woodland specialist, robin – a woodland generalist, yellowhammer – an edge-nesting farmland bird), used in bird4pop model.\n\nData in bird_habitat_params consists of scores representing the relative availability of suitable nest sites (on a scale from 0-1, where 0 = none and 1 = very high) and the relative availability of foraging resources during the breeding season (on a scale from 0-5, where 0 = none and 5 = very high) for four bird groups (woodland specialists, woodland generalists, edge-nesting farmland birds, skylark – an open-nesting farmland bird) and the 78 landcover classes, used in bird4pop model. Given scores are the mean values across n contributing experts. The data also include the number of contributing experts, the standard error on the mean score, and the alpha and beta values that describe a beta distribution consistent with the measured mean and variance for each score.\n\nThis model is intended to help support understanding of how birds might be using landscapes. No decisions should ever be made solely on the basis of this model’s predictions – on-the-ground ecological surveys and integration of local knowledge are always required before any landscape-level or site-level decisions are made, due to real-life bird activity levels potentially differing from predicted levels. Users are recommended to get in touch with the model developers to ensure they have the most up-to-date version of the code and to receive support on model use and interpretation.","documentType":"GEMINI_DOCUMENT","familyName":["Gardner","Robinson","Broughton","Hinsley","Redhead","Woodward","Pywell","Bullock"],"fullName":["Gardner, E.","Robinson, R.A.","Broughton, R.K.","Hinsley, S.A.","Redhead, J.W.","Woodward, I.","Pywell, R.F.","Bullock, J.M."],"funder":["Natural Environment Research Council"],"givenName":["E.","R.A.","R.K.","S.A.","J.W.","I.","R.F.","J.M."],"grant":["NE/V007831/1"],"identifier":"985691ce-e66b-416a-bb85-fc9ad0eca6ed","incomingCitationCount":0,"keyword":["United Kingdom","Animal behaviour","bird","bird species","yellowhammer","European robin","Eurasian nuthatch","skylark","foraging behavior","dispersal","animal population","breeding bird","modelling","Sitta europaea","Erithacus rubecula","Emberiza citrinella","nesting","land cover","animal habitat"],"keywordsOther":["bird","bird species","yellowhammer","European robin","Eurasian nuthatch","skylark","foraging behavior","dispersal","animal population","breeding bird","modelling","Sitta europaea","Erithacus rubecula","Emberiza citrinella","nesting","land cover","animal habitat"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Bird4pop model code was developed from the poll4pop model (Gardner, et al., 2020; Yclough, 2020). It contains functions that are identical to those used in the poll4pop model, functions that are adapted from functions used in the poll4pop model, and new functions. \n\nData in bird_guild_params.csv is derived from literature data, with subsequent processing to convert units and calculate guild-level values. The growth parameters are set by selecting the values that best reproduced observed responses of woodland specialist birds to habitat fragmentation.\n\nData in bird_habitat_params is derived from an expert opinion questionnaire completed by four researchers. The mean scores and their standard error are weighted according to the self-reported certainty scores that experts gave alongside their habitat resource scores.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:20:08.000Z","orcid":["0000-0002-1669-7151","0000-0003-0504-9906","0000-0002-6838-9628","0000-0003-0820-2590"],"organisation":["UK Centre for Ecology & Hydrology","British Trust for Ornithology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-30T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/985691ce-e66b-416a-bb85-fc9ad0eca6ed","10.5285/985691ce-e66b-416a-bb85-fc9ad0eca6ed","doi:10.5285/985691ce-e66b-416a-bb85-fc9ad0eca6ed"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"Bird4pop is a process-based model, written in R, that simulates the foraging, dispersal and population processes of nidicolous passerines. It accounts for both amount and configuration of habitat resources to predict spatially-explicit relative abundance and foraging…","state":"published","supplementalDescription":["Gardner E, Robinson RA, Julian A, et al. A family of process-based models to simulate landscape use by multiple taxa. Landscape Ecology, 2024; 39(5), 102. https://doi.org/10.1007/s10980-024-01866-4","Gardner E, Breeze TD, Clough Y, et al. Reliably predicting pollinator abundance: Challenges of calibrating process-based ecological models. Methods Ecol. Evol. 2020; 11: 1673–1689. https://doi.org/10.1111/2041-210X.13483","yclough. (2020). yclough/poll4pop: Gardner_etal_MEE (v1.1.1). Zenodo. https://doi.org/10.5281/zenodo.4001015"],"supplementalName":["bird4pop model","poll4pop model","poll4pop model code"],"title":"Bird4pop model for the simulation of foraging, dispersal and population processes of UK passerine birds","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","Hunt","James","Mackay","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","J.","A.G.","J.B.","E.B.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2014 until the end of 2018.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","Hunt","James","Mackay","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","J.","A.G.","J.B.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"ae8c850d-211e-4560-8b37-437b6e0e2a16","incomingCitationCount":0,"keyword":["England","Lake District","Blelham Tarn","UK-SCAPE","Environmental survey","Water quality"],"keywordsPlace":["England","Lake District","Blelham Tarn"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories.","locations":["POLYGON((-2.985 54.393, -2.985 54.399, -2.973 54.399, -2.973 54.393, -2.985 54.393))"],"metadataDate":"2026-09-02T13:47:13.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae8c850d-211e-4560-8b37-437b6e0e2a16","10.5285/ae8c850d-211e-4560-8b37-437b6e0e2a16","doi:10.5285/ae8c850d-211e-4560-8b37-437b6e0e2a16"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, 2014 to 2018","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Glasgow","Brunel University London","University of the Philippines","University of Vienna"],"authorFamilyName":["Boothroyd","Williams","Hoey","Tolentino","Guardian","Perez","David"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Tolentino, P.L.M.","Guardian, E.L.","Perez, J.E.G.","David, C.P.C."],"authorGivenName":["R.J.","R.D.","T.B.","P.L.M.","E.L.","J.E.G.","C.P.C."],"authorOrcid":["0000-0001-9742-4229","0000-0001-6067-1947","0000-0003-0734-6218","0000-0002-1803-9734"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data set contains multi-temporal aerial imagery for two river segments in the Philippines. Imagery covers: (i) the downstream segment of the Bislak River and (ii) the confluence of the Abuan, Bintacan and Pinacanauan de Ilagan Rivers (referred to as ‘Ilagan’ in this data resource). Repeat aerial surveys were completed in 2019 and 2020. The data coverage includes the river channels, floodplains and surrounding areas. Raw aerial images were processed to produce spatially corrected orthoimagery (see supporting documentation). The resulting orthoimagery has a 0.2 m spatial resolution, containing information on the red, green and blue (RGB) bands.\n\nThe work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312.\n","documentType":"GEMINI_DOCUMENT","familyName":["Boothroyd","Williams","Hoey","Tolentino","Guardian","Perez","David"],"fullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Tolentino, P.L.M.","Guardian, E.L.","Perez, J.E.G.","David, C.P.C."],"funder":["Natural Environment Research Council","Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development"],"givenName":["R.J.","R.D.","T.B.","P.L.M.","E.L.","J.E.G.","C.P.C."],"grant":["NE/S003312"],"identifier":"e040ff39-2176-4ed4-9e5d-861bdae8a030","incomingCitationCount":0,"keyword":["river","geomorphology","aerial photography","river management"],"keywordsOther":["river","geomorphology","aerial photography","river management"],"licence":"Open government licence","lineage":"Aerial surveys were completed on the following dates:\nBislak 2019 – 21 March 2019\nBislak 2020 – 22 January 2020\nIlagan 2019 – 5 April 2019\nIlagan 2020 – 14 February 2020\n\nRaw images were acquired as .tif files. Capture One, Adobe Lightroom and TerraPhoto software were used to process the raw images into orthoimagery. The main processing steps were: (1) colour corrections, (2) tie-point definition, (3) colour points and selection shapes, and (4) rectification. Orthoimagery is provided as .tif files. \nThe positional accuracy of the orthoimagery was checked and verified by the third-party responsible for completing the aerial surveys.\n","locations":["POLYGON((117.174 5.581, 117.174 18.505, 126.537 18.505, 126.537 5.581, 117.174 5.581))"],"metadataDate":"2026-07-25T14:47:00.000Z","orcid":["0000-0001-9742-4229","0000-0001-6067-1947","0000-0003-0734-6218","0000-0002-1803-9734"],"organisation":["University of Glasgow","Brunel University London","University of the Philippines","University of Vienna","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e040ff39-2176-4ed4-9e5d-861bdae8a030","10.5285/e040ff39-2176-4ed4-9e5d-861bdae8a030","doi:10.5285/e040ff39-2176-4ed4-9e5d-861bdae8a030"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77","https://ror.org/04xw4m193"],"shortenedDescription":"The data set contains multi-temporal aerial imagery for two river segments in the Philippines. Imagery covers: (i) the downstream segment of the Bislak River and (ii) the confluence of the Abuan, Bintacan and Pinacanauan de Ilagan Rivers (referred to as ‘Ilagan’ in…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Multi-temporal aerial imagery of rivers in the Philippines, 2019-2020","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["National Institute of Amazonian Research","University of Oslo","University of Exeter"],"authorFamilyName":["Antonieto","Assis","Hartley","Di Ponzio","Quesada"],"authorFullName":["Antonieto, F.A.","Assis, R.L.","Hartley, I.P.","Di Ponzio, R.","Quesada, C.A."],"authorGivenName":["F.A.","R.L.","I.P.","R.","C.A."],"authorOrcid":["0000-0001-8844-5140","0000-0002-9183-6617"],"authorRor":["https://ror.org/01xe86309","https://ror.org/01xtthb56","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented showing seedling height, diameter at ground height (DGH), total number of leaves, number of leaves with herbivory damage and leaf mortality, from a plot based fertilisation experiment. The experiment was carried out at the Biological Dynamics of Forest Fragments Project (BDFFP) approximately 100 km north of Manaus. Data were collected bimonthlyfrom February 2019 to January 2020, by the dataset first author. Height measurements were made with a tape measure and DRH measurements were made with digital calipers. Leaf numbers, damage and mortality were made from visual observations. The data were collected to investigate the possible effects of different fertiliser applications on seedling height, totalnumber of leaves, number of leaves with herbivory damage and leaf mortality.The work was carried out as part of the Amazon Fertilization Experiment (AFEX), funded by the Natural Environment Research Council (NERC), Award reference NE/L007223/1, by the Brazilian government (Researcher scholarship) and the Biological Dynamics of Forest Fragments Project (BDFFP - logistical support and camps maintanance).","documentType":"GEMINI_DOCUMENT","familyName":["Antonieto","Assis","Hartley","Di Ponzio","Quesada"],"fullName":["Antonieto, F.A.","Assis, R.L.","Hartley, I.P.","Di Ponzio, R.","Quesada, C.A."],"funder":["Natural Environment Research Council"],"givenName":["F.A.","R.L.","I.P.","R.","C.A."],"grant":["NE/L007223/1"],"identifier":"2da56eb1-ff01-48de-ba2a-d3afceefc85f","incomingCitationCount":0,"keyword":["Amazon","Biological Dynamics of Forest Fragments Project","Fertilization experiment","Plot experiment","Amazon Fertilization Experiment (AFEX)"],"keywordsOther":["Fertilization experiment","Plot experiment","Amazon Fertilization Experiment (AFEX)"],"keywordsPlace":["Amazon"],"keywordsProject":["Biological Dynamics of Forest Fragments Project"],"licence":"Open government licence","lineage":"Within each sub-plot, all plant individuals greater than 20 centimetres in height and with diameter at ground height (DGH) greater than 1 centimetre were identified and tagged. Seedling height was measured from ground level to the highest apical yolk with measuring tapes and DGH was measured with digital calipers. Total leaves number and total of leaves with herbivory damage was accounted for each tagged seedling. Data were collected bimonthly, during a period of 12 months, totaling six replications in each sub-plot, four in the rainy season and two in the dry season. Data were recorded on to field sheets. These data were then transferred to an Excel spreadsheet. Data were exported as a comma separated file for ingestion into the EIDC.","locations":["POLYGON((-59.973 -2.554, -59.973 -2.35, -59.691 -2.35, -59.691 -2.554, -59.973 -2.554))"],"metadataDate":"2026-07-24T19:33:26.000Z","orcid":["0000-0001-8844-5140","0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Research","University of Oslo","University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2da56eb1-ff01-48de-ba2a-d3afceefc85f","10.5285/2da56eb1-ff01-48de-ba2a-d3afceefc85f","doi:10.5285/2da56eb1-ff01-48de-ba2a-d3afceefc85f"],"resourceType":"Dataset","ror":["https://ror.org/01xe86309","https://ror.org/01xtthb56","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented showing seedling height, diameter at ground height (DGH), total number of leaves, number of leaves with herbivory damage and leaf mortality, from a plot based fertilisation experiment. The experiment was carried out at the Biological Dynamics of Forest…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Seedlings growth in a fertilized forest in Central Amazonia (2019 – 2020)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Clark","Lloyd","Ward","Evans","Brooks","Rowe","McNamara"],"authorFullName":["Morrison, R.","Clark, E.","Lloyd, C.","Ward, H.","Evans, J.","Brooks, M.","Rowe, R.","McNamara, N.P."],"authorGivenName":["R.","E.","C. ","H.","J.","M.","N.P."],"authorOrcid":["0000-0002-1847-3127","0000-0002-7439-0393","0000-0002-7554-821X","0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 13th October 2009 and 15th May 2013. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Clark","Lloyd","Ward","Evans","Brooks","Rowe","McNamara"],"fullName":["Morrison, R.","Clark, E.","Lloyd, C.","Ward, H.","Evans, J.","Brooks, M.","Rowe, R.","McNamara, N.P."],"funder":["Natural Environment Research Council"],"givenName":["R.","E.","C. ","H.","J.","M.","N.P.","Ross"],"grant":["NE/R016429/1"],"identifier":"9e14539e-b376-4a70-87a0-f8725f84bae9","incomingCitationCount":0,"keyword":["Lincolnshire","Soil","Land use","Salix viminalis"],"keywordsOther":["Salix viminalis"],"keywordsPlace":["Lincolnshire"],"keywordsTheme":["Soil","Land use"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made above the willow canopy using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were made from a scaffold tower at the northern end of the plantation.\n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. \n\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. Data gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019). \n\nFurther details are available in the supporting documentation.","locations":["POLYGON((-0.35 53.15, -0.35 53.2, -0.4 53.2, -0.4 53.15, -0.35 53.15))"],"metadataDate":"2026-09-02T14:21:14.000Z","orcid":["0000-0002-1847-3127","0000-0002-7439-0393","0000-0002-7554-821X","0000-0002-5143-5819"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e14539e-b376-4a70-87a0-f8725f84bae9","10.5285/9e14539e-b376-4a70-87a0-f8725f84bae9","doi:10.5285/9e14539e-b376-4a70-87a0-f8725f84bae9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent…","state":"published","supplementalDescription":["REddyProc: Post Processing of (Half-)Hourly Eddy-Covariance Measurements. R package version 1.2. "],"supplementalName":["Thomas Wutzler, Markus Reichstein, Antje Maria Moffat and Mirco Migliavacca (2019)"],"temporalExtentText":"Data collected from 2009 to 2013","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial short rotation coppice willow plantation, Lincolnshire, UK, 2009 to 2013","topic":["0/Soil/","0/Land use/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Embrapa Amazônia Oriental","Setor de Ecologia e Conservação, Universidade Federal de Lavras","Universidade Federal de Mato Grosso","University of Oxford","Stockholm Environment Institute","Manchester Metropolitan University","Lancaster University"],"authorFamilyName":["França","Oliveira","Louzada","Vaz-de-Mello","Ferreira","Berenguer","Gardner","Lees","Barlow"],"authorFullName":["França, F.M.","Oliveira, V.H.","Louzada, J.N.C.","Vaz-de-Mello, F.Z.","Ferreira, J.N.","Berenguer, E.","Gardner, T.","Lees, A.","Barlow, J."],"authorGivenName":["F.M.","V.H.","J.N.C.","F.Z.","J.N","E.","T.","A.","J."],"authorOrcid":["0000-0003-3827-1917","0000-0002-0553-0268","0000-0002-1481-3112","0000-0001-9697-320X","0000-0002-4008-2341","0000-0001-8157-8792","0000-0002-4007-2936","0000-0001-7603-9081","0000-0003-4992-2594"],"authorRor":["https://ror.org/01mqvjv41","https://ror.org/052gg0110","https://ror.org/02hstj355","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region.\n\nDung beetles were collected during the collaborative projects AFIRE (Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems) and ECOFOR (Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests), which are part of the NERC Human-Modified Tropical Forest (HTMF) programme.","documentType":"GEMINI_DOCUMENT","familyName":["França","Oliveira","Louzada","Vaz-de-Mello","Ferreira","Berenguer","Gardner","Lees","Barlow"],"fullName":["França, F.M.","Oliveira, V.H.","Louzada, J.N.C.","Vaz-de-Mello, F.Z.","Ferreira, J.N.","Berenguer, E.","Gardner, T.","Lees, A.","Barlow, J.","França, F."],"funder":["Natural Environment Research Council"],"givenName":["F.M.","V.H.","J.N.C.","F.Z.","J.N","E.","T.","A.","J.","Filipe"],"identifier":"799db965-3ce7-4e9b-8590-de6a8624d652","incomingCitationCount":0,"keyword":["Brazil","Pará","Dung beetles","Amazonia","El Niño","selective logging","Human-modified tropical forest (HMTF)","forest disturbance","drought","fire","forest"],"keywordsOther":["Dung beetles","Amazonia","El Niño","selective logging","Human-modified tropical forest (HMTF)","forest disturbance","drought","fire","forest"],"keywordsPlace":["Brazil","Pará"],"licence":"Open government licence","lineage":"Between April and June 2010, dung beetles were sampled across all 381 study plots (total of 3429 pitfall traps set across all study plots). Post-El Niño beetle surveys happened in July 2016 and between March and April 2017 within a subset of 36 forest plots (from those 381 previously established) in the Santarém region (333 pitfall traps for each year). These plots were distributed along a gradient of previous forest degradation, including undisturbed forests (n = 10), logged-forests (n = 10), logged-and-burned forests (n = 10) and secondary forests (n = 6). Half of these forest plots were fire-affected during the 2015-16 El Niño, while the other plots suffered only with the drought effects. Forest disturbance classes were based on analysis of canopy disturbance in time series satellite images (1988 to 2010) and previous field assessments of fire scars, and logging/charcoal debris. Dung beetles were sampled using pitfall traps baited with 50 g of dung (80% pig and 20% human) and half filled with a killing solution (5% detergent and 2% salt). Traps were distributed at the corners of a 3-m equilateral triangle, at three sampling points (0, 150 and 300 m) of a 300-m transect; and were left in the field for 48 h before inspection. Beetle surveys in 2016 and 2017 happened following exactly the same methods established in 2010.","locations":["POLYGON((-56.515 -5.132, -56.515 -1.745, -53.485 -1.745, -53.485 -5.132, -56.515 -5.132))"],"metadataDate":"2026-09-02T13:47:44.000Z","orcid":["0000-0003-3827-1917","0000-0002-0553-0268","0000-0002-1481-3112","0000-0001-9697-320X","0000-0002-4008-2341","0000-0001-8157-8792","0000-0002-4007-2936","0000-0001-7603-9081","0000-0003-4992-2594"],"organisation":["Embrapa Amazônia Oriental","Setor de Ecologia e Conservação, Universidade Federal de Lavras","Universidade Federal de Mato Grosso","University of Oxford","Stockholm Environment Institute","Manchester Metropolitan University","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/799db965-3ce7-4e9b-8590-de6a8624d652","10.5285/799db965-3ce7-4e9b-8590-de6a8624d652","doi:10.5285/799db965-3ce7-4e9b-8590-de6a8624d652"],"resourceType":"Dataset","ror":["https://ror.org/01mqvjv41","https://ror.org/052gg0110","https://ror.org/02hstj355","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This data set includes longitudinal abundance of dung beetles at dung-baited pitfall traps, recorded in 2010, 2016 and 2017 (around six years before, six months after and 18 months after the 2015-16 El Niño event, respectively) in the Brazilian Amazon region.\n\nDung…","state":"published","temporalExtentText":"Data collected from 2010 to 2017","title":"Dung beetle abundance data from a before-and-after El Niño experiment in the Brazilian Amazon","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Sheffield"],"authorFamilyName":["Fairbanks","Thomson","Martin"],"authorFullName":["Fairbanks, S.","Thomson, J.","Martin, N."],"authorGivenName":["S.","J.","Nicolas"],"authorOrcid":["0000-0002-6380-559X"],"authorRor":["https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These dataset files show the calibration of a sensor for mercury (II) ions using a Fluorimeter and either HgCl2 or HgNO3.\n\n A range of different sample conditions are tested, including sensor concentrations and relative proportions of water and a methanol co-solvent (required for solubility of the probe). Also tested was the ability of acid to affect the probes sensitivity to mercury as nitric acid is needed for the stability of HgNO3 as an analyte. File names listed show the concentration of sensor and the ratio of water to methanol tested. \n\nInductively coupled plasma mass spectrometry (ICP-MS) data are also given these are used to validate the sensors calibration and also to monitor the levels of soluble mercury content of dental amalgam samples held at either (11⁰C or 37⁰C) in water and saliva. The supernatant of these suspensions is filtered and measured using ICP-MS to give the data as reported.","documentType":"GEMINI_DOCUMENT","familyName":["Fairbanks","Thomson","Martin"],"fullName":["Fairbanks, S.","Thomson, J.","Martin, N."],"funder":["Natural Environment Research Council"],"givenName":["S.","J.","Nicolas"],"grant":["NE/T004967/1"],"identifier":"bc82f15b-8db6-4398-bfec-655a1eecf2d7","incomingCitationCount":0,"keyword":["Hg","dental amalgam","mercury"],"keywordsOther":["Hg","dental amalgam","mercury"],"licence":"Open government licence","lineage":"Calibration is done by measuring the luminescent response of the sensor (exciting at 500nm) to various concentrations of Hg(II). A linear relation to increasing mercury concentration can be applied to measure unknown sample concentrations. The calibration graphs from each of the raw fluorimeter data are given in the PowerPoint file. The file showing the dental clinical and amalgam samples are tested using a 1µM sensor to see whether a measurable response is seen to real mercury samples in different media (saliva, distilled water or amalgam separator supernatant). ","metadataDate":"2026-07-25T12:59:31.000Z","orcid":["0000-0002-6380-559X"],"organisation":["University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bc82f15b-8db6-4398-bfec-655a1eecf2d7","10.5285/bc82f15b-8db6-4398-bfec-655a1eecf2d7","doi:10.5285/bc82f15b-8db6-4398-bfec-655a1eecf2d7"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"These dataset files show the calibration of a sensor for mercury (II) ions using a Fluorimeter and either HgCl2 or HgNO3.\n\n A range of different sample conditions are tested, including sensor concentrations and relative proportions of water and a methanol co-solvent…","state":"published","title":"Fluorimeter response of ruthenium based sensor to mercury ions in water and acetonitrile","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["An Giang University","The Center for Water Resources Conservation and Development (WARECOD)"],"authorFamilyName":["Nguyen","Tran","Mai"],"authorFullName":["Nguyen, T.","Tran, C.","Nguyen, L.","Mai, T."],"authorGivenName":["Tanh","Chau","Lan","Thang"],"authorOrcid":["0000-0002-0847-4185","0009-0008-1640-6407"],"authorRor":["https://ror.org/023pm6532"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF"],"description":"This dataset calculates the habitat quality and habitat degradation index of the coastal mangrove forest in Soc Trang, Ca Mau, Kien Giang in the Mekong Delta, Vietnam, in 2017, using the InVEST habitat quality model. The dataset includes inputs and outputs for the InVEST habitat quality model; including the distribution of habitat quality index values represented in a habitat quality map; distribution of threat factors to habitat quality and vector data; land use and land cover map of Kien Giang, Ca Mau, Soc Trang in 2017; output of habitat quality model, include habitat quality index map and habitat degradation index map.\n\nThe InVEST Habitat Quality (HQ) model is an open source tool that uses land-use maps and threat data to assess biodiversity. Habitat quality and rarity are used as proxies to represent the biodiversity of a landscape - estimating the extent of habitat and vegetation types across a landscape, and their state of degradation (Stanford University). The model combines maps of land use land cover (LULC) with data on threats to habitats and habitat response. Modelling habitat quality alongside ecosystem services enables users to compare spatial patterns and identify areas where conservation will most benefit natural systems and protect threatened species.","documentType":"GEMINI_DOCUMENT","familyName":["Nguyen","Tran","Mai"],"fullName":["Nguyen, T.","Tran, C.","Nguyen, L.","Mai, T.","Tanh Nguyen"],"funder":["Natural Environment Research Council"],"givenName":["Tanh","Chau","Lan","Thang"],"grant":["NE/S008926/1"],"identifier":"f969bdf8-4aa2-4cd1-a6ee-c9ecabf35df7","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","Land use","Habitat quality","Coast","Mangrove","Mekong Delta","Vietnam"],"keywordsOther":["Habitat quality","Coast","Mangrove","Mekong Delta","Vietnam"],"keywordsTheme":["Biodiversity","Environmental survey","Land use"],"licence":"Open government licence","lineage":"The underlying data were gathered primarily through questionnaire-based interviews to generate the mapped threat factors. For the map depicting the distribution of influencing factors, the QGIS program was used to convert the descriptor map from vector to raster format, assigning the value \"1\" to indicate the presence of a factor and \"0\" to indicate its absence. Interviews and surveys were conducted in the mangrove forests of Soc Trang, Ca Mau, and Kien Giang. The distribution of factors influencing habitat quality and degradation were mapped as presence and absence.\n\nIn addition, the team carried out onsite surveys at accessible locations, such as erosion points and forest areas affected by drought and water scarcity in Soc Trang. The contribution of threat factors to habitat degradation was determined based on expert interviews and subsequently converted into weights using the AHP model.","locations":["POLYGON((104.419 8.439, 104.419 10.886, 107.145 10.886, 107.145 8.439, 104.419 8.439))"],"metadataDate":"2026-07-25T18:09:55.000Z","orcid":["0000-0002-0847-4185","0009-0008-1640-6407"],"organisation":["An Giang University","The Center for Water Resources Conservation and Development (WARECOD)","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-07-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f969bdf8-4aa2-4cd1-a6ee-c9ecabf35df7","10.5285/f969bdf8-4aa2-4cd1-a6ee-c9ecabf35df7","doi:10.5285/f969bdf8-4aa2-4cd1-a6ee-c9ecabf35df7"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/023pm6532","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset calculates the habitat quality and habitat degradation index of the coastal mangrove forest in Soc Trang, Ca Mau, Kien Giang in the Mekong Delta, Vietnam, in 2017, using the InVEST habitat quality model. The dataset includes inputs and outputs for the InVEST…","state":"published","supplementalDescription":["The InVEST Habitat Quality Model is available here"],"title":"Habitat quality of mangrove areas in the Mekong Delta (Soc Trang, Ca Mau and Kien Giang) using the InVEST Habitat Quality model, 2017","topic":["0/Biodiversity/","0/Environmental survey/","0/Land use/"],"version":1.0,"view":["public","jashun"]}],"rows":20,"semanticEnabled":false,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}