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University","Natural Capital Project","Bangor University"],"authorFamilyName":["Hooftman","Bullock","Neugarten","Chaplin-Kramer","Willcock"],"authorFullName":["Hooftman, D.A.P.","Bullock, J.M.","Neugarten, R.A.","Chaplin-Kramer, R.","Willcock, S."],"authorGivenName":["D.A.P.","J.M.","R.A. ","R.","S."],"authorOrcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0003-0647-0516","0000-0002-1539-5231","0000-0001-6704-3548"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Shapefile"],"description":"This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural non-material service Recreation. For water, the data comes as one shapefile with polygons per watershed, each polygon containing seven ensemble estimates. The other services – recreation, carbon storage, biomass for fuelwood and forage production – come as seven tiff- maps at a 1-km2 resolution with associated world files for each tiff-map contains 43,200 x 18,600 pixels for one ensemble approach, with LZW compressed file sizes between 400MB and 950MB. For all maps, 600dpi jpg depictions are added to the supporting information with uniform colour scaling set for the median ensemble per service. \n\nEnsemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches.\n\nThe work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme, with additional funding from ES/R009279/1 (MobilES) & ES/T007877/1 (RUST).","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Bullock","Neugarten","Chaplin-Kramer","Willcock"],"fullName":["Hooftman, D.A.P.","Bullock, J.M.","Neugarten, R.A.","Chaplin-Kramer, R.","Willcock, S."],"funder":["Natural Environment Research Council","Economic and Social Research Council"],"givenName":["D.A.P.","J.M.","R.A. 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Relevant Matlab and Python codes can be found at https://github.com/GlobalEnsembles   \n\nGlobal among model ensembles for recreation, carbon storage, and biomass for fuelwood and forage production are provided as 1-km2 gridcells; water supply ensembles are provided per catchment polygons associated to the 15,289 worldwide HydroSHEDS catchment definitions (https://www.hydrosheds.org/). Model data included outputs from among others: InVEST, ARIES, WaterWorld, Co$ting Nature, LPJ-GUESS, TEEB, Scholes, Aqueduct, FAO livestock distributions, and a wide variety of biomass models such as from ESA CCI Biomass Climate Change Initiative, GEOCARBON global forest biomass and Global Forest Watch. These data sets are not provided here, but a full list with links to these data sets or software, where applicable, can be found in the supporting documentation. Note that license restrictions could apply. \n\nEnsembles approaches include: unweighted (mean and median) approaches and weighted averaging with weights determined following multiple methods according to Hooftman et al. (2022): the deterministic correlation coefficient among models, the first principal component among models and weights iterated as regression to the median and leave-one-out cross validation. Uncertainty is presented by the Standard Error of Mean among contributing model outputs and among ensemble approaches, calculated as the standard deviation corrected with the amount of contributing models/ensembles per cell.\n\nPrior to ensemble calculations: all individual model outputs have been normalised against the lower 2.5% and upper 97.5% percentile. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, ensemble algorithms and their validation we refer to the supporting documentation and associated publication.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-11-05T13:27:36.000Z","orcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0003-0647-0516","0000-0002-1539-5231","0000-0001-6704-3548"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Cornell University","Natural Capital Project","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd940dad-9bf4-40d9-891b-161f3dfe8e86","10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86","doi:10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/006jb1a24"],"shortenedDescription":"This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural…","state":"published","title":"Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Newcastle University"],"authorFamilyName":["Qiu","Green","Blenkinsop","Fowler"],"authorFullName":["Qiu, X.","Green, A.C.","Blenkinsop, S.","Fowler, H.J."],"authorGivenName":["Xiaobin","Amy Charlotte","Stephen","Hayley J."],"authorOrcid":["0009-0007-5901-2283","0000-0002-5746-3917","0000-0003-0790-6545","0000-0001-8848-3606"],"authorRor":["https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","NetCDF"],"description":"This dataset provides gridded hourly precipitation estimates at 1 km spatial resolution for Great Britain and surrounding areas for the period 1 January 2006 to 31 December 2023. 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The resulting product provides spatially continuous hourly precipitation estimates across areas with valid radar coverage and is suitable for hydrological analysis, extreme rainfall assessment, flood-related applications, and other environmental studies requiring high-resolution precipitation information.","documentType":"GEMINI_DOCUMENT","familyName":["Qiu","Green","Blenkinsop","Fowler"],"fullName":["Qiu, X.","Green, A.C.","Blenkinsop, S.","Fowler, H.J.","Xiaobin Qiu"],"funder":["Natural Environment Research Council","Environment Agency","China Scholarship Council"],"givenName":["Xiaobin","Amy Charlotte","Stephen","Hayley J."],"grant":["NE/Y006496/1","NE/Y503241/1","202108440108"],"identifier":"6e09452c-6ca2-4c52-a8a7-21d709fb564f","incomingCitationCount":0,"keyword":["Great Britain","Hydrology","Climate and climate change","Agriculture","Environmental risk","radar rainfall","rain gauge","radar-gauge merging","gridded rainfall","quantitative precipitation estimation","extreme rainfall","rainfall","precipitation","hydrology"],"keywordsOther":["radar rainfall","rain gauge","radar-gauge merging","gridded rainfall","quantitative precipitation estimation","extreme rainfall","rainfall","precipitation","hydrology"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Climate and climate change","Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"This dataset was generated from UK weather radar precipitation estimates and rain gauge observations for Great Britain for the period 1 January 2006 to 31 December 2023. The radar data were derived from the UK national weather radar composite (5-min and 1 km) and processed to hourly, 1 km resolution on the British National Grid (EPSG:27700). Rain gauge observations from available national monitoring networks were collated and quality controlled before being used in the production of the gridded dataset.\n\nThe radar rainfall data underwent a series of quality control and correction procedures designed to identify and reduce major artefacts. These included the detection and correction of radar beam blockage, together with screening procedures for anomalously high rainfall estimates, isolated artefacts, spatial inconsistencies and other radar-related errors. Quality-controlled rain gauge observations were then used to adjust and blend the radar rainfall fields using the Gauss Blending Method (GBM), producing spatially continuous hourly precipitation estimates at 1 km resolution. \n\nThe resulting NetCDF files were checked for spatial consistency, temporal completeness, coordinate information, variable definitions and units before deposit. Periods for which suitable radar observations were unavailable remain missing rather than being artificially reconstructed.\n\nThis resource represents the first release of the dataset, covering Great Britain for the period 2006-2023. An updated version is currently under development, which will extend the spatial coverage to the whole United Kingdom and Ireland and the temporal coverage to 2006-2025. The updated dataset will also incorporate additional rain gauge observations and further improvements to the quality-control and radar-gauge blending procedures.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-10T14:13:02.000Z","orcid":["0009-0007-5901-2283","0000-0002-5746-3917","0000-0003-0790-6545","0000-0001-8848-3606"],"organisation":["Newcastle University","NERC EDS Environmental Information Data Centre","China Scholarship Council","Natural Environment Research Council","Environment Agency"],"publicationDate":"2026-11-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e09452c-6ca2-4c52-a8a7-21d709fb564f","10.5285/6e09452c-6ca2-4c52-a8a7-21d709fb564f","doi:10.5285/6e09452c-6ca2-4c52-a8a7-21d709fb564f"],"resourceType":"Dataset","rightsHolder":["China Scholarship Council","Natural Environment Research Council","Environment Agency","Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04xw4m193","https://ror.org/04atp4p48","https://ror.org/02b5d8509","https://ror.org/01zewfb16"],"shortenedDescription":"This dataset provides gridded hourly precipitation estimates at 1 km spatial resolution for Great Britain and surrounding areas for the period 1 January 2006 to 31 December 2023. The spatial coverage is determined by the availability of valid weather radar observations…","state":"published","supplementalDescription":["Qiu, X., Green, A. C., Blenkinsop, S., & Fowler, H. J. (2026). Quality control of the composite radar quantitative precipitation estimation product for Great Britain. Journal of Hydrology, 666, 134755","Qiu, X., Green, A. C., Blenkinsop, S., & Fowler, H. J. (2026). Developing a radar-rain gauge hourly blended precipitation dataset for Great Britain using the Gauss Blending Method. Journal of Hydrology, 668, 134954"],"temporalExtentText":"Data collected from 2006 to 2023","title":"Hourly 1km gridded gauge-radar precipitation for Great Britain, 2006-2023 [GRaD-GB (1H1K)]","topic":["0/Hydrology/","0/Climate and climate change/","0/Agriculture/","0/Environmental risk/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Royal Society for the Protection of Birds","Fenland SOIL, UK"],"authorFamilyName":["D’Acunha","Arnold","Blake","Bray","Bodo","Cooper","Crabtree","Cumming","Evans","Field","Hudson","Jovani-Sancho","Rylett","Morrison"],"authorFullName":["D’Acunha, B.","Arnold, S.","Blake, K.","Bray, G.","Bodo, A.","Cooper, H.","Crabtree, D.","Cumming, A.","Evans, C.D.","Field, R.H.","Hudson, M.","Jovani-Sancho, A.J.","Rylett, D.","Morrison, R."],"authorGivenName":["B.","S.","K.","G.","A.","H.","D.","C. D.","R. H.","M.","A. 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Data collection started in January 2023 and ended in January 2024, except for one site in Wales which ended in December 2023. Vegetation data was also collected and consist of manual measurements of canopy height, leaf area index , and biomass. \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":["D’Acunha","Arnold","Blake","Bray","Bodo","Cooper","Crabtree","Cumming","Evans","Field","Hudson","Jovani-Sancho","Rylett","Morrison"],"fullName":["D’Acunha, B.","Arnold, S.","Blake, K.","Bray, G.","Bodo, A.","Cooper, H.","Crabtree, D.","Cumming, A.","Evans, C.D.","Field, R.H.","Hudson, M.","Jovani-Sancho, A.J.","Rylett, D.","Morrison, R."],"givenName":["B.","S.","K.","G.","A.","H.","D.","C. D.","R. H.","M.","A. 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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. Further details are available in the supporting documentation.","locations":["POLYGON((-5.977 49.923, -5.977 55.925, 1.714 55.925, 1.714 49.923, -5.977 49.923))"],"metadataDate":"2026-11-05T13:30:24.000Z","orcid":["0000-0002-8767-7772","0000-0002-2017-3609","0000-0002-1382-3407","0000-0001-7502-8823","0000-0001-5704-9006","0000-0002-7052-354X","0000-0002-0194-6872","0000-0002-7824-0501","0000-0002-7426-1153","0000-0002-1847-3127"],"organisation":["UK Centre for Ecology & Hydrology","Royal Society for the Protection of Birds","Fenland SOIL, UK","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-10-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b50e7291-b668-49bb-8226-f6371e707714","10.5285/b50e7291-b668-49bb-8226-f6371e707714","doi:10.5285/b50e7291-b668-49bb-8226-f6371e707714"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0138va192","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere exchanges of sensible heat (H) and latent heat fluxes (LE), together with supporting meteorological and soil physics data obtained at six eddy covariance (EC) flux tower monitoring sites located…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Meteorology, soil physics, and eddy covariance measurements of carbon dioxide, energy and water exchange from a distributed network of sites across England and Wales, 2023-2024","topic":["0/Soil/","0/Hydrology/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London"],"authorFamilyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"authorFullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J."],"authorGivenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V."],"authorOrcid":["0000-0002-0883-3440","0000-0003-2896-1631","0000-0002-4607-9901","0000-0002-9765-2907","0000-0002-3058-919X","0000-0001-8077-5452","0000-0002-3176-8130","0000-0002-5999-0307"],"authorRor":["https://ror.org/02bfwt286","https://ror.org/0524sp257","https://ror.org/03a64bh57","https://ror.org/01c27hj86","https://ror.org/02jv3k292","https://ror.org/01x8hew03","https://ror.org/052gg0110","https://ror.org/05290cv24","https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains survival, growth and leaf morphology data for multiple clones of c. 40 genotypes of two species of Senecio. 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To measure growth, in November (c. 4-5 months after the initial transplant) plant height was measured (in mm) using a ruler.","locations":["POLYGON((15.08 37.63, 15.08 37.7, 14.99 37.7, 14.99 37.63, 15.08 37.63))"],"metadataDate":"2026-11-05T13:36:23.000Z","orcid":["0000-0002-0883-3440","0000-0003-2896-1631","0000-0002-4607-9901","0000-0002-9765-2907","0000-0002-3058-919X","0000-0001-8077-5452","0000-0002-3176-8130","0000-0002-5999-0307"],"organisation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11bad517-507b-4b8f-9944-2c2e16e4e8c6","10.5285/11bad517-507b-4b8f-9944-2c2e16e4e8c6","doi:10.5285/11bad517-507b-4b8f-9944-2c2e16e4e8c6"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/02bfwt286","https://ror.org/0524sp257","https://ror.org/03a64bh57","https://ror.org/01c27hj86","https://ror.org/02jv3k292","https://ror.org/01x8hew03","https://ror.org/052gg0110","https://ror.org/05290cv24","https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains survival, growth and leaf morphology data for multiple clones of c. 40 genotypes of two species of Senecio. The two Senecio species are native to low (S. chrysanthemifolius) and high elevations (S. aethnensis) on Mount Etna. Genotypes were propagated…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Field transplant of two contrasting Senecio wildflower species across an elevational gradient on Mount Etna, Sicily 2017","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Aberdeen","UK Centre for Ecology & Hydrology","University of Exeter","Sabah Forestry Department","Stirling University","Universidad Rey Juan Carlos"],"authorFamilyName":["Burslem","Banin","Bartholomew","Bin Suis","Bittencourt","Chapman","Dent","Hayward","O'Brien","Rowland"],"authorFullName":["Burslem, D.F.R.P.","Banin, L.F.","Bartholomew, D.C.","Bin Suis, M.A.F.","Bittencourt, P.R.L.","Chapman, D.","Dent, D.H.","Hayward, R.M.","O'Brien, M.J.","Rowland, L.M."],"authorGivenName":["D.F.R.P.","L.F.","D.C.","M.A.F.","P.R.L.","D.","D.H.","R.M.","M.J.","L.M."],"authorOrcid":["0000-0001-6033-0990","0000-0002-1168-3914","0000-0002-8123-1817","0000-0002-9653-225X"],"authorRor":["https://ror.org/016476m91","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/03sfqvm15","https://ror.org/045wgfr59","https://ror.org/01v5cv687"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve or unlogged forest in the Danum Valley Conservation Area, Malaysia.\n\nThese data were collected as part of NERC project “Seeing the fruit for the trees in Borneo: responding to an unpredictable community-level fruiting event” (NE/T006560/1).","documentType":"GEMINI_DOCUMENT","familyName":["Burslem","Banin","Bartholomew","Bin Suis","Bittencourt","Chapman","Dent","Hayward","O'Brien","Rowland"],"fullName":["Burslem, D.F.R.P.","Banin, L.F.","Bartholomew, D.C.","Bin Suis, M.A.F.","Bittencourt, P.R.L.","Chapman, D.","Dent, D.H.","Hayward, R.M.","O'Brien, M.J.","Rowland, L.M."],"funder":["Natural Environment Research Council"],"givenName":["D.F.R.P.","L.F.","D.C.","M.A.F.","P.R.L.","D.","D.H.","R.M.","M.J.","L.M."],"grant":["NE/T006560/1"],"identifier":"c1813d0d-193f-4f23-82c6-333d5d099b42","incomingCitationCount":0,"keyword":["Malaysia","Sabah","Biodiversity"," dipterocarp","logging","global change","mast fruiting","plant functional trait","seedling","Southeast Asia","biodiversity","demography","tropical forest"],"keywordsOther":[" dipterocarp","logging","global change","mast fruiting","plant functional trait","seedling","Southeast Asia","biodiversity","demography","tropical forest"],"keywordsPlace":["Malaysia","Sabah"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Seedling count data were collected on plots of size 1 m2 established in primary unlogged forest in the Danum Valley Conservation Area and logged forest in the Ulu Segama Forest Reserve in September to October 2019 during a mast fruiting event. These plots were re-censused in November-December 2019, January-May 2020 and February-March 2021. Taxonomic identifications were conducted by comparison with a seedling reference collection and local knowledge. ","locations":["POLYGON((86.309 -13.643, 86.309 11.885, 129.551 11.885, 129.551 -13.643, 86.309 -13.643))"],"metadataDate":"2026-11-05T13:31:22.000Z","orcid":["0000-0001-6033-0990","0000-0002-1168-3914","0000-0002-8123-1817","0000-0002-9653-225X"],"organisation":["University of Aberdeen","UK Centre for Ecology & Hydrology","University of Exeter","Sabah Forestry Department","Stirling University","Universidad Rey Juan Carlos","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1813d0d-193f-4f23-82c6-333d5d099b42","10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42","doi:10.5285/c1813d0d-193f-4f23-82c6-333d5d099b42"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/03sfqvm15","https://ror.org/045wgfr59","https://ror.org/01v5cv687","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes records of counts at four censuses between September 2019 and February 2021 of the number of seedlings of woody plants identified to species (or morphospecies) on a total of 207 plots located in either logged forest in the Ulu Segama Forest Reserve…","state":"published","temporalExtentText":"Data collected from 2019 to 2021","title":"Tropical forest seedling census data from Danum Valley, Sabah, Malaysia, 2019-2021","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","Lundy","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","Lundy, M.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorOrcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0002-6631-0672"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. 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These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","Lundy","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","Lundy, M.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"2588ee91-6cbd-4888-86fc-81858d1bf085","incomingCitationCount":1,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental survey","Bat species","Environmental Change Network","ILTER","LTER","BA","mammal","vertebrate","chiropteran","Eptesicus serotinus","Myotis bechsteinii","Myotis daubentonii","Myotis brandtii","Myotis myotis","Myotis mystacinus","Myotis nattereri","Nyctalus leisleri","Nyctalus noctula","Pipistrellus pipistrellus","Pipistrellus pygmaeus","Plecotus auritus","Plecotus austriacus","Rhinolophus ferrumequinum","Rhinolophus hipposideros","Barbastella barbastellus"],"keywordsOther":["Bat species","Environmental Change Network","ILTER","LTER","BA","mammal","vertebrate","chiropteran","Eptesicus serotinus","Myotis bechsteinii","Myotis daubentonii","Myotis brandtii","Myotis myotis","Myotis mystacinus","Myotis nattereri","Nyctalus leisleri","Nyctalus noctula","Pipistrellus pipistrellus","Pipistrellus pygmaeus","Plecotus auritus","Plecotus austriacus","Rhinolophus ferrumequinum","Rhinolophus hipposideros","Barbastella barbastellus"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected while walking a defined transect using a bat detector at all of ECN's terrestrial sites using a standard protocol,four times each year. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:25:45.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0002-6631-0672"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Environmental Change Network","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2588ee91-6cbd-4888-86fc-81858d1bf085","10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085","doi:10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They…","state":"published","temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) bat data: 1993-2015","topic":["0/Environmental survey/"],"version":1.0,"view":["kath","srennie","phtr","public"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. 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Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-11-05T13:14:47.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/17223091-ca33-41f8-bd5b-bdd2a222cdae","10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae","doi:10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. 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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. Tair or air temperature is the 2m air temperature (instantaneous) measured in K at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"2a230752-9652-412b-9feb-9f419767032d","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Atmosphere","hydrology","meteorology","Land surface modelling","atmosphere"],"keywordsOther":["Atmosphere","hydrology","meteorology","Land surface modelling","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. 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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 1901 to 2001","title":"WATCH Forcing Data (WFD) - 20th Century Tair (air temperature) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Scotland's Rural College","Centre for Ecology & Hydrology","Scottish Environment Protection Agency","ISAFOM","Karlsruhe Institute of Technology","Technische Universität Berlin","Universität Bonn","Max Plank Institute for Biogeochemistry","Martin Luther University Halle-Wittenberg"],"authorFamilyName":["Jones","Helfter","Anderson","Coyle","Campbell","Famulari","Di Marco","van Dijk","Tang","Topp","Kiese","Kindler","Siemens","Schrumpf","Kaiser","Nemitz","Levy","Rees","Sutton","Skiba"],"authorFullName":["Jones, S.K.","Helfter, C.","Anderson, M.","Coyle, M.","Campbell, C.","Famulari, D.","Di Marco, C.","van Dijk, N.","Tang, Y.S.","Topp, C.F.E.","Kiese, R.","Kindler, R.","Siemens, J.","Schrumpf, M.","Kaiser, K.","Nemitz, E.","Levy, P.E.","Rees, R.M.","Sutton, M.A.","Skiba, U.M."],"authorGivenName":["S.K.","C.","M.","D.","N.","Y.S.","C.F.E.","R.","J.","K.","E.","P.E.","R.M.","M.A.","U.M."],"authorOrcid":["0000-0002-8327-1804","0000-0001-5773-4652","0000-0002-9440-6524","0000-0002-2388-9282","0000-0002-7064-638X","0000-0002-2814-4888","0000-0001-7376-443X","0000-0002-1765-6298","0000-0002-8505-1901","0000-0003-1348-8693","0000-0001-8659-6092"],"authorRor":["https://ror.org/044e2ja82","https://ror.org/00pggkr55","https://ror.org/01kxjy285","https://ror.org/04t3en479","https://ror.org/03v4gjf40","https://ror.org/041nas322","https://ror.org/051yxp643","https://ror.org/05gqaka33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measured daily values of precipitation, air and soil temperature, soil water content, measured net ecosystem exchange (NEE) fluxes using eddy covariance, calculated gross primary production (GPP), terrestrial ecosystem respiration (TER) and net biome production (NBP) fluxes using an online tool (http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/upload.php), measured fluxes of methane and nitrous oxide using static chambers and measured fluxes of nitrous oxide using eddy covariance, measured fluxes of nitrogen oxides (NOx) using automatic chambers, measured nitrogen (N) and carbon (C) leaching, livestock density, nitrogen and carbon input from mineral and organic fertiliser and yield of a managed grassland (Easterbush, 03°02'W, 55°52' N, 190 m a.s.l ) in South East Scotland. \n\nData were collected between January 2002 and December 2010. Furthermore the dataset contains one off soil carbon and nitrogen data collected in 2004 and 2010. The dataset also contains monthly dry N deposition data from a field nearby Easterbush (about 300 m distance) measured with a DELTA system from 2002-2010. The data were collected as part of the three European projects GREENGRASS (EC EVK2-CT2001-00105), the NitroEurope Integrated Project (contract 017841) and CarboEurope (Contract No. GOCE-CT-2003-505572).","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Helfter","Anderson","Coyle","Campbell","Famulari","Di Marco","van Dijk","Tang","Topp","Kiese","Kindler","Siemens","Schrumpf","Kaiser","Nemitz","Levy","Rees","Sutton","Skiba"],"fullName":["Jones, S.K.","Helfter, C.","Anderson, M.","Coyle, M.","Campbell, C.","Famulari, D.","Di Marco, C.","van Dijk, N.","Tang, Y.S.","Topp, C.F.E.","Kiese, R.","Kindler, R.","Siemens, J.","Schrumpf, M.","Kaiser, K.","Nemitz, E.","Levy, P.E.","Rees, R.M.","Sutton, M.A.","Skiba, U.M.","Jones, S."],"givenName":["S.K.","C.","M.","D.","N.","Y.S.","C.F.E.","R.","J.","K.","E.","P.E.","R.M.","M.A.","U.M.","Stephanie"],"identifier":"7e6e6955-a9d7-4f8a-961e-3fa3d56d0ead","incomingCitationCount":2,"keyword":["Easterbush","budget","grassland","soil","greenhouse gas","carbon","nitrogen","pollutant deposition","atmospheric precipitation","air temperature","soil water","methane","nitrogen oxides","fertiliser"],"keywordsOther":["budget","grassland","soil","greenhouse gas","carbon","nitrogen","pollutant deposition","atmospheric precipitation","air temperature","soil water","methane","nitrogen oxides","fertiliser"],"keywordsPlace":["Easterbush"],"licence":"Open government licence","lineage":"The field site was setup by Prof. Mark A. Sutton and other members of staff from CEH in 1998. The data contained in this data base were collected within the three European projects GREENGRASS (EC EVK2-CT2001-00105), the NitroEurope Integrated Project (contract 017841) and CarboEurope (Contract No. GOCE-CT-2003-505572) from 2002 till 2010. Meteorological data were collected by Mhairi Coyle, eddy covariance data for carbon dioxide (CO2) fluxes were collected by Carole Helfter and Claire Campbell, and eddy covariance data for nitrous oxide (N2O) fluxes were collected by Chiara Di Marco and Daniela Famulari. Data for N2O and methane (CH4) fluxes measured by chambers were collected by Stephanie Jones and Margaret Anderson, nitrogen oxides (NOx) flux data measured with auto chambers were collected by Stephanie Jones and Ute Skiba and dry deposition concentration data were collected by Netty van Dijk and Sim Tang. For leaching data suction cups were installed by Jan Siemens and Reimo Kindler, samples were collected by Stephanie Jones and Margaret Anderson and samples were analysed and fluxes calculated by Jan Siemens and Reimo Kindler. Soil carbon (C) and nitrogen (N) data were collected and analysed by Marion Schrumpf and Klaus Kaiser. Management data for fertiliser input and harvest were provided by the farmer, while animal numbers were recorded by Mhairi Coyle, Carole Helfter, Chiara Di Marco, Daniela Famulari. Stephanie Jones, Margaret Anderson and Ute Skiba. Field equipment was installed by Ivan Simmons, Ian Leith and Julia Drewer. Further detail is provided in the supporting documentation. Details of instruments used and their detection limits are provided in the NitroEurope data base (http://www.nitroeurope.eu.) and the CarboEurope database  (http://www.carboeurope.org). A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Jones, S. K., Helfter, C., Anderson, M., Coyle, M., Campbell, C., Famulari, D., Di Marco, C., van Dijk, N., Topp, C. F. E., Kiese, R., Kindler, R., Siemens, J., Schrumpf, M., Kaiser, K., Nemitz, E., Levy, P., Rees, R. M., Sutton, M. A., and Skiba, U. M.: The nitrogen, carbon and greenhouse gas budget of a grazed, cut and fertilised temperate grassland, Biogeosciences Discuss., doi:10.5194/bg-2016-221, in review, 2016.","locations":["POLYGON((-3.21 55.864, -3.21 55.867, -3.203 55.867, -3.203 55.864, -3.21 55.864))"],"metadataDate":"2026-07-25T06:58:32.000Z","orcid":["0000-0002-8327-1804","0000-0001-5773-4652","0000-0002-9440-6524","0000-0002-2388-9282","0000-0002-7064-638X","0000-0002-2814-4888","0000-0001-7376-443X","0000-0002-1765-6298","0000-0002-8505-1901","0000-0003-1348-8693","0000-0001-8659-6092"],"organisation":["Scotland's Rural College","Centre for Ecology & Hydrology","Scottish Environment Protection Agency","ISAFOM","Karlsruhe Institute of Technology","Technische Universität Berlin","Universität Bonn","Max Plank Institute for Biogeochemistry","Martin Luther University Halle-Wittenberg","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e6e6955-a9d7-4f8a-961e-3fa3d56d0ead","10.5285/7e6e6955-a9d7-4f8a-961e-3fa3d56d0ead","doi:10.5285/7e6e6955-a9d7-4f8a-961e-3fa3d56d0ead"],"resourceType":"Dataset","ror":["https://ror.org/044e2ja82","https://ror.org/00pggkr55","https://ror.org/01kxjy285","https://ror.org/04t3en479","https://ror.org/03v4gjf40","https://ror.org/041nas322","https://ror.org/051yxp643","https://ror.org/05gqaka33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measured daily values of precipitation, air and soil temperature, soil water content, measured net ecosystem exchange (NEE) fluxes using eddy covariance, calculated gross primary production (GPP), terrestrial ecosystem respiration (TER) and net…","state":"published","temporalExtentText":"Data collected from 2002 to 2011","title":"Carbon and nitrogen flux, meteorological, management and soil data from a grazed, cut and fertilised temperate grassland in south east Scotland","version":1.0,"view":["public","leav"]},{"authorAffiliation":["Newcastle University","University of Oxford"],"authorFamilyName":["Byers","Leathard","O'Donnell","Hall","Amezaga"],"authorFullName":["Byers, E.A.","Leathard, A.","O'Donnell, G.M.","Hall, J.W.","Amezaga, J.M."],"authorGivenName":["E.A.","A.","G.M.","J.W.","J.M."],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002. Each simulation is derived from one-hundred, 30-year time series of weather at the WG location 4400355 for Control, Low, Medium and High emissions scenarios for the 2020s, 2030s, 2040s, 2050s and 2080s time slices. The datasets include the relevant accompanying input WG data. ","documentType":"GEMINI_DOCUMENT","familyName":["Byers","Leathard","O'Donnell","Hall","Amezaga"],"fullName":["Byers, E.A.","Leathard, A.","O'Donnell, G.M.","Hall, J.W.","Amezaga, J.M."],"givenName":["E.A.","A.","G.M.","J.W.","J.M."],"identifier":"986d3df3-d9bf-42eb-8e18-850b8d54f37b","incomingCitationCount":0,"keyword":["United Kingdom","River Trent","modelling","climate change","hydrology"],"keywordsOther":["modelling","climate change","hydrology"],"keywordsPlace":["United Kingdom","River Trent"],"licence":"Open government licence","lineage":"The 8-parameter model is based on the Ph.D work of Alex Leathard (unpublished) at Newcastle University. The model was set up and calibrated with data at Colwick on Trent (station 28009) from the period 1961-2002 using daily observed gauge data from CEH. Structural uncertainty and model calibration was performed by simulating 10,000 parameterisations selected by Latin hypercube sampling. Performance was evaluated using a 4-metric ranking comprising: the log transform flows of Nash-Sutcliffe Efficiency, and absolute difference between observed and simulated from the Q90, Q95, and Q99 percentile flows. This was done primarily to ensure good performance at low flows. Goodness-of-fit was also assessed at various periods of the historical record, including the drought of 1975-1976. The Model was run with outputs from the UKCP09 Weather Generator, by inputting 30-year time series for: 3 emsissions scenarios; time slices of Control, 2020s, 2030s, 2040s, 2050s, 2080s; 100 samples of each combination.","locations":["POLYGON((-2.354 52.681, -2.354 53.792, -0.615 53.792, -0.615 52.681, -2.354 52.681))"],"metadataDate":"2026-09-15T08:36:34.000Z","organisation":["Newcastle University","University of Oxford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1404983431078","CEH:EIDC::1404983431078","https://catalogue.ceh.ac.uk/id/986d3df3-d9bf-42eb-8e18-850b8d54f37b","10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b","doi:10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b"],"resourceType":"Dataset","ror":["https://ror.org/01kj2bm70","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological…","state":"published","temporalExtentText":"Data available up to 2014","title":"Hydrological modelling and simulation data for the River Trent at Colwick under climate change","version":1.0,"view":["public","rstu"]},{"altTitle":["UK Ecological Survey 1978"],"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Bunce","Wood","Henrys","Smart","Howard","Barr"],"authorFullName":["Bunce, R.G.H.","Wood, C.M.","Henrys, P.A.","Smart, S.M.","Howard, D.C.","Barr, C.J."],"authorGivenName":["R.G.H.","C.M.","P.A.","S.M.","D.C.","C.J."],"authorOrcid":["0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-4494-7450"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of stock data for Broad Habitats across Great Britain in 1978. The data are national estimates generated by analysing the sample data from 256 1km squares surveyed for the Countryside Survey and scaling up to a national level. The data are presented as percent habitat per 1km square. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, species plot, soil plot, linear habitat, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Wood","Henrys","Smart","Howard","Barr"],"fullName":["Bunce, R.G.H.","Wood, C.M.","Henrys, P.A.","Smart, S.M.","Howard, D.C.","Barr, C.J.","Wood, C."],"givenName":["R.G.H.","C.M.","P.A.","S.M.","D.C.","C.J.","C."],"identifier":"df180b2e-36ea-410e-8487-5a09942afa9e","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","Mapping","ecology","environmental monitoring","habitat","mapping"],"keywordsOther":["ecology","environmental monitoring","habitat","mapping"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey","Mapping"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1977 and 1978 by surveyors. Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The areas of BAP Broad Habitats were digitized in 2009. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Note: National Estimates were created and mapped using the 1990 ITE Land Classification. Also see: Countryside Survey: Measuring Habitat Change Over 30 Years. 1978 Data Rescue - Final Report (2012) Wood C.M., Howard D.C., Henrys P.A., Bunce R.G.H., Smart S.M. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:25:22.000Z","orcid":["0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-4494-7450"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1317808619304","CEH:EIDC::1317808619304","https://catalogue.ceh.ac.uk/id/df180b2e-36ea-410e-8487-5a09942afa9e","10.5285/df180b2e-36ea-410e-8487-5a09942afa9e","doi:10.5285/df180b2e-36ea-410e-8487-5a09942afa9e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock data for Broad Habitats across Great Britain in 1978. The data are national estimates generated by analysing the sample data from 256 1km squares surveyed for the Countryside Survey and scaling up to a national level. The data are presented…","state":"published","supplementalDescription":["Wood, C.M.; Howard, D.C.; Henrys, P.A.; Bunce, R.G.H.; Smart, S.M.. 2012 Countryside Survey: measuring habitat change over 30 years: 1978 data rescue - final report. Lancaster, NERC/Centre for Ecology & Hydrology, 18pp. (CEH Project Number: C03689)"],"supplementalName":["Countryside Survey website"],"temporalExtentText":"Data collected from 1977 to 1978","title":"Countryside Survey 1978 mapped estimates of Broad Habitat areas in Great Britain","topic":["0/Environmental survey/","0/Mapping/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Birch","Doeser","Grant","May","McKenzie","MacSporran","Olszewska"],"authorFullName":["Taylor, P.J.","Birch, E.","Doeser, A.","Grant, A.","May, L.","McKenzie, R.","MacSporran, A.","Olszewska, J.P."],"authorGivenName":["P.J.","E.","A.","L.","R.","J.P."],"authorOrcid":["0000-0003-1663-9426","0009-0005-7203-3260","0000-0003-3385-9973","0000-0002-4910-2206"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2024. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing were 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":["Taylor","Birch","Doeser","Grant","May","McKenzie","MacSporran","Olszewska"],"fullName":["Taylor, P.J.","Birch, E.","Doeser, A.","Grant, A.","May, L.","McKenzie, R.","MacSporran, A.","Olszewska, J.P."],"funder":["Natural Environment Research Council"],"givenName":["P.J.","E.","A.","L.","R.","J.P."],"grant":["NE/Y006208/1"],"identifier":"f4925dbe-875b-479c-8f98-5a11bbdb7ba4","incomingCitationCount":0,"keyword":["Environmental survey","crustacean","zooplankton","lake","Loch Leven","Scotland","taxa","UK-SCAPE","water chemistry","water quality"],"keywordsOther":["crustacean","zooplankton","lake","Loch Leven","Scotland","taxa","UK-SCAPE","water chemistry","water quality"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data was collected from fieldwork at Loch Leven during 2024 and recorded into a database with some samples being processed in the laboratory first. All data has been through a QA process, which is detailed in the metadata document.","locations":["POLYGON((-3.42 56.172, -3.42 56.223, -3.323 56.223, -3.323 56.172, -3.42 56.172))"],"metadataDate":"2026-11-05T13:26:57.000Z","orcid":["0000-0003-1663-9426","0009-0005-7203-3260","0000-0003-3385-9973","0000-0002-4910-2206"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4925dbe-875b-479c-8f98-5a11bbdb7ba4","10.5285/f4925dbe-875b-479c-8f98-5a11bbdb7ba4","doi:10.5285/f4925dbe-875b-479c-8f98-5a11bbdb7ba4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2024. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2024","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements of conductivity, dissolved oxygen, pH and temperature. Druck pressure transducers were installed at the same sites to measure continuous water level values. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments. Data were collected continuously at 15-minutes intervals for periods of variable length, depending on site.","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno","Fry"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N.","Fry, M."],"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N.","M."],"identifier":"00895096-e083-498f-9a52-b7f9e3291125","incomingCitationCount":1,"keyword":["Lowland Catchment Research Programme (LOCAR) ","Water quality","dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsOther":["dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsProject":["Lowland Catchment Research Programme (LOCAR) "],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Temperature, pH, conductivity and dissolved oxygen data were collected using YSI 6-Series multi-parameter water quality sondes. Each sonde had multiple sensors that read water quality data. Water level data were collected using Druck Pressure Transducers. The transducers were fully submersible high performance sensors that produced reliable and accurate water level measurements. After two weeks of deployment in the river the sondes were taken back to the laboratory for calibration checks, cleaning, changing the membrane on the oxygen electrode and recalibration. During their transportation and storage they were kept moist at all times by adding a few drops of deionised water in the containing bottle. On return to the laboratory, the outside of the sonde body was wiped to remove silt, etc. The electrode guard was removed and the body of the electrode rinsed, avoiding cleaning the surface of the electrodes. The sonde was then connected to the battery pack and computer and the calibration software launched. Then, in the corresponding calibration software menus, the specific conductance, conductivity, dissolved oxygen charge were activated and their post calibration values recorded in the post calibration form. Before the sondes could be returned to the field they needed to be recalibrated. First, the glass surface of the pH electrode was gently wiped with a cotton bud wetted in alcohol. The inside of the conductivity electrode was scrubbed with a small bottle brush then the sonde was rinsed with distilled water. The 'O' ring was removed and the plastic membrane from the oxygen electrode was replaced by a new one. The 'O' ring was then replaced. The new membrane needed at least 12 hours to condition before calibration. The sonde was therefore left in the transportation pot (containing moist sponge) until the next day before being calibrated. To calibrate the sonde, it was connected to the battery pack and the computer. From the calibration routine, in the sonde software menu, the dissolved oxygen charge was activated. Then dissolved oxygen, conductivity and pH were consecutively selected for calibration. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers on the YSI sondes and Druck pressure transducers at each site on a regular basis. Data are raw and have not been quality controlled nor corrected for instrument failure or instrument drift. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. (For further details see the supporting documentation for this dataset)","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-07-24T18:49:59.000Z","organisation":["Centre for Ecology & Hydrology","University of Birmingham","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426780471009","CEH:EIDC::1426780471009","https://catalogue.ceh.ac.uk/id/00895096-e083-498f-9a52-b7f9e3291125","10.5285/00895096-e083-498f-9a52-b7f9e3291125","doi:10.5285/00895096-e083-498f-9a52-b7f9e3291125"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements…","state":"published","temporalExtentText":"Data collected from 2002 to 2007","title":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level in rivers (2002-2007) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","cit"]},{"authorAffiliation":["University of Oxford","University of Liverpool","University of Helsinki","Uppsala University"],"authorFamilyName":["Raulo","Allen","Troitsky","Husby","Firth","Coulson","Knowles"],"authorFullName":["Raulo, A.","Allen, B.E.","Troitsky, T.","Husby, A.","Firth, J.","Coulson, T.","Knowles, S.C.L."],"authorGivenName":["A.","B.E.","T.","J.","S.C.L."],"authorOrcid":["0000-0003-4860-7840","0000-0002-3811-8173","0000-0001-8394-6229","0000-0003-1911-8351","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623"],"authorRor":["https://ror.org/052gg0110","https://ror.org/04xs57h96","https://ror.org/040af2s02","https://ror.org/048a87296"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term capture-mark-recapture study, three species of rodents were trapped with Sherman live-traps fortnightly for 12 months: wood mouse (Apodemus sylvaticus), yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glaerolus). Upon capture, they were measured, weighted, sexed, aged and a tissue sample and a faecal sample were collected from all mouse individuals for genetic and microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous identification  Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponde-tag). The tagged rodents were subsequently tracked with a set of custom-made tracking devices (loggers). Loggers produced dense time-stamped occurrence data suitable for inferring spatio-temporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Tissue samples were used to genotype the wood mouse population and bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition.\n\nThis work was funded by a NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1)","documentType":"GEMINI_DOCUMENT","familyName":["Raulo","Allen","Troitsky","Husby","Firth","Coulson","Knowles"],"fullName":["Raulo, A.","Allen, B.E.","Troitsky, T.","Husby, A.","Firth, J.","Coulson, T.","Knowles, S.C.L."],"funder":["Natural Environment Research Council"],"givenName":["A.","B.E.","T.","J.","S.C.L."],"grant":["NE/L011867/1"],"identifier":"c67fde7f-a1c8-4cb4-a76e-0c6d21c82222","incomingCitationCount":1,"keyword":["Microbiome","microbiota","gut microbiome","trapping","Sherman","mouse","wood mouse","bank vole","yellow-necked mouse","Apodemus","Myodes","RFID-tracking","social network analysis","home range analysis","microsatellites","kinship","pedigree","animal genetics","rodent"],"keywordsOther":["Microbiome","microbiota","gut microbiome","trapping","Sherman","mouse","wood mouse","bank vole","yellow-necked mouse","Apodemus","Myodes","RFID-tracking","social network analysis","home range analysis","microsatellites","kinship","pedigree","animal genetics","rodent"],"licence":"Open government licence","lineage":"Wild rodents were trapped fortnightly, tagged and continuously monitored with tracking technology for one year.  This is a natural rodent population and no experimental manipulations were made. Upon capture, faecal samples were collected from the rodents and a piece of ear tissue was collected upon first capture of each individual. Tissue samples were stored in ethanol in -20 C and faecal samples were stored without buffer in -80 C for 3 years. In 2017 DNA was extracted from the faecal samples of wood mice and their gut microbiome was characterised from this by amplification and sequencing of the V3 region of bacterial 16S rRNA marker gene. In 2018 the wood mouse population was genotyped and their pedigree reconstructed from ear tissue samples using 11 microsatellite markers. Details of the data and the cleaning process can be found from the supporting documentation.","locations":["POLYGON((-0.66 51.398, -0.66 51.422, -0.633 51.422, -0.633 51.398, -0.66 51.398))"],"metadataDate":"2026-11-05T13:43:29.000Z","orcid":["0000-0003-4860-7840","0000-0002-3811-8173","0000-0001-8394-6229","0000-0003-1911-8351","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623"],"organisation":["University of Oxford","University of Liverpool","University of Helsinki","Uppsala University","NERC EDS Environmental Information Data Centre","Imperial College London"],"publicationDate":"2022-11-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222","10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222","doi:10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222"],"resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/052gg0110","https://ror.org/04xs57h96","https://ror.org/040af2s02","https://ror.org/048a87296","https://ror.org/04xw4m193","https://ror.org/041kmwe10"],"shortenedDescription":"This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term…","state":"published","temporalExtentText":"Data collected from 2014 to 2015","title":"Wild rodent trapping, tracking and sampling for genetics and gut microbiome, Silwood Park, Berkshire, November 2014 to November 2015","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UKCEH Countryside Survey"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["UKCEH Countryside Survey","Wood, C."],"givenName":["Claire"],"identifier":"0cfd454a-d035-416c-80dc-803c65470ea2","incomingCitationCount":0,"keyword":["Land class","uplands","lowlands","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["Land class","uplands","lowlands","Monitoring & Observing Systems","Environmental survey","Parr Section"],"licence":"Open government licence","lineage":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:01:06.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-10-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1348140148813","CEH:EIDC::1348140148813","https://catalogue.ceh.ac.uk/id/0cfd454a-d035-416c-80dc-803c65470ea2","10.5285/0cfd454a-d035-416c-80dc-803c65470ea2","doi:10.5285/0cfd454a-d035-416c-80dc-803c65470ea2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of…","state":"published","temporalExtentText":"Data collected from 1990 to 2007","title":"Countryside Survey Environmental Zones","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Hannaford","Barker","Svensson","Kral","Fry"],"authorFullName":["Tanguy, M.","Hannaford, J.","Barker, L.","Svensson, C.","Kral, F.","Fry, M."],"authorGivenName":["M.","J.","L.","C.","F."],"authorOrcid":["0000-0001-9294-5826","0000-0003-1142-4039"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"1km and 5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. (1993). SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Hannaford","Barker","Svensson","Kral","Fry"],"fullName":["Tanguy, M.","Hannaford, J.","Barker, L.","Svensson, C.","Kral, F.","Fry, M."],"givenName":["M.","J.","L.","C.","F.","Maliko"],"identifier":"94c9eaa3-a178-4de4-8905-dbfab03b69a0","incomingCitationCount":1,"keyword":["Hydrology","SPI","indicator","gridded data","rainfall extremes","accumulation period","drought"],"keywordsOther":["SPI","indicator","gridded data","rainfall extremes","accumulation period","drought"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in [3]). To calculate SPI, the R package SCI was used [4], but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] ([5], [6]) \n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. \n\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267\n\n[3] Tanguy et al. (2015), in preparation. \n\n[4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf \n\n[5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e \n\n[6] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ doi:10.5194/essdd-8-83-2015. ","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T10:18:26.000Z","orcid":["0000-0001-9294-5826","0000-0003-1142-4039"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1428490171842","CEH:EIDC::1428490171842","https://catalogue.ceh.ac.uk/id/94c9eaa3-a178-4de4-8905-dbfab03b69a0","10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0","doi:10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"1km and 5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. (1993). SPI is calculated for different accumulation periods:…","state":"published","temporalExtentText":"Data collected from 1961 to 2012","title":"Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Botswana Department of Water and Sanitation","University of Aberdeen"],"authorFamilyName":["Petros","Comte"],"authorFullName":["Petros, A.","Comte, J.-."],"authorGivenName":["A."," J.-C."],"authorOrcid":["0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained from manual sampling of 22 boreholes; and (2) higher temporal resolution (5-min time-step) timeseries of water table depth, groundwater temperature and electrical conductivity obtained from automatic dataloggers in 3 of the abovementioned boreholes.","documentType":"GEMINI_DOCUMENT","familyName":["Petros","Comte"],"fullName":["Petros, A.","Comte, J.-.","Comte, J."],"givenName":["A."," J.-C.","Jean-Christophe"],"identifier":"40a80d95-5a8a-4586-aa24-d6c87f9968b6","incomingCitationCount":0,"keyword":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"keywordsOther":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"licence":"Open government licence","lineage":"Manual water table depth measurements during the near-monthly campaigns were done in situ using a standard groundwater dipmeter. Manual groundwater pH, temperature, electrical conductivity and total dissolved solids measurements (Strategy 1) were obtained on pumped grab groundwater samples from borehole taps.\nAutomatic loggers immersed in a selection of three boreholes provided high-temporal resolution (5-min) groundwater level, temperature, electrical conductivity data (Strategy 2). Raw groundwater levels were provided in meter equivalent freshwater head above the logger, later converted in depth in Excel through two sequential processing steps: (1) barometric compensation, from a barometric sensor installed; (2) depth correction using the manual depth measurements (Strategy 1) and applying linear interpolation between measurement dates.\nDatasets were post-process through removal of obvious measurement errors, including human errors when writing up values on field notebook and anomalous datalogger records associated to sensor extraction from the well.\n","locations":["POLYGON((25.25 -25.296, 25.25 -24.677, 25.981 -24.677, 25.981 -25.296, 25.25 -25.296))"],"metadataDate":"2026-11-05T13:26:26.000Z","orcid":["0000-0002-5129-8391"],"organisation":["Botswana Department of Water and Sanitation","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40a80d95-5a8a-4586-aa24-d6c87f9968b6","10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6","doi:10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Groundwater monitoring data following 2016-2017 extreme rainfall and floods in the Gaborone catchment, Upper Limpopo basin, Botswana","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research"],"authorFamilyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"authorFullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"authorGivenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"authorOrcid":["0000-0001-6498-043X","0000-0001-6855-9562","0000-0001-5732-8080","0000-0001-7375-1460","0000-0001-8778-4394","0000-0003-1519-3442","0000-0002-5896-756X","0000-0001-5390-9136","0000-0002-2989-2001","0000-0001-9514-7053"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.  Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population).  \n\nPlease see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details.","documentType":"GEMINI_DOCUMENT","familyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"fullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"funder":["Natural Environment Research Council"],"givenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"grant":["NE/S002847/1"],"identifier":"710fc65c-87eb-4932-9d8e-dc8328742232","incomingCitationCount":0,"keyword":["Mekong River Basin","Hydrology","sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsOther":["sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsPlace":["Mekong River Basin"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data are modelled outputs from the integrated catchment (INCA) models, INCA-N for nitrate related water quality, and INCA-P for phosphorus related water quality.  Please see supporting documentation for details.  ","locations":["POLYGON((95.591 8.446, 95.591 34.191, 109.447 34.191, 109.447 8.446, 95.591 8.446))"],"metadataDate":"2026-11-05T13:46:38.000Z","orcid":["0000-0001-6498-043X","0000-0001-6855-9562","0000-0001-5732-8080","0000-0001-7375-1460","0000-0001-8778-4394","0000-0003-1519-3442","0000-0002-5896-756X","0000-0001-5390-9136","0000-0002-2989-2001","0000-0001-9514-7053"],"organisation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/710fc65c-87eb-4932-9d8e-dc8328742232","10.5285/710fc65c-87eb-4932-9d8e-dc8328742232","doi:10.5285/710fc65c-87eb-4932-9d8e-dc8328742232"],"resourceType":"Dataset","rightsHolder":["University of Southampton","University of Oxford"],"ror":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.…","state":"published","supplementalDescription":["Whitehead, P.G., Jin, L., Bussi, G., Voepel, H.E., Darby, S.E., Vasilopoulos, G., Manley, R., Rodda, H., Hutton, C., Hackney, C., Pham Dang Tri, V., & Hung, N.N. (2019). Water quality modelling of the Mekong River basin: Climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta. Science of The Total Environment, 673, 218-229"],"temporalExtentText":"Data collected from 2018 to 2098","title":"Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model","topic":["0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Rowland","O'Neil","Morton"],"authorFullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"authorGivenName":["C.","C.S.","A.W.","R.D."],"authorOrcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil","Morton"],"fullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.S.","A.W.","R.D.","Chris"],"grant":["NE/R016429/1"],"identifier":"398dd41e-3c08-47f5-811f-da990007643f","incomingCitationCount":7,"keyword":["Land cover","Mapping","Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsOther":["Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2021 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T13:14:21.000Z","orcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/398dd41e-3c08-47f5-811f-da990007643f","10.5285/398dd41e-3c08-47f5-811f-da990007643f","doi:10.5285/398dd41e-3c08-47f5-811f-da990007643f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Land Cover Map 2021 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"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":"2026-11-05T13:14:56.000Z","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":"https://catalogue.ceh.ac.uk/eidc/documents"}