{"numFound":2260,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2","results":[{"publicationDate":"2014-08-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of East Anglia","Institute of Zoology/University of Bristol","Institute of Zoology"],"authorGivenName":["C.","A.F.G.","S.","M.S.","W.C.","J.","J.W."],"authorFamilyName":["Carvell","Bourke","Dreier","Heard","Jordan","Sumner","Wang","Redhead"],"authorFullName":["Carvell, C.","Bourke, A.F.G.","Dreier, S.","Heard, M.S.","Jordan, W.C.","Sumner, S.","Wang, J.","Redhead, J.W."],"authorOrcid":["https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18"],"catalogue":"eidc","description":"This dataset contains locations of worker bumblebees of five species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum, B. ruderatus) across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Locations were recorded in the field using a handheld GPS unit. Workers were non-lethally DNA sampled between June and August 2011, and genetic analysis used to confirm species and assign individuals to full-sib groups (colonies). Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative.","documentType":"GEMINI_DOCUMENT","identifier":"a60f52b8-0f9f-44f6-aca4-861cb461a0eb","incomingCitationCount":3,"givenName":["Claire","C.","A.F.G.","S.","M.S.","W.C.","J.","J.W."],"familyName":["Carvell","Bourke","Dreier","Heard","Jordan","Sumner","Wang","Redhead"],"fullName":["Carvell, C.","Bourke, A.F.G.","Dreier, S.","Heard, M.S.","Jordan, W.C.","Sumner, S.","Wang, J.","Redhead, J.W."],"keyword":["Buckinghamshire","Pollinators","Insect Pollinators Initiative","bumblebee","bumble bee","Common Carder Bee"],"keywordsPlace":["Buckinghamshire"],"keywordsTheme":["Pollinators"],"keywordsOther":["Insect Pollinators Initiative","bumblebee","bumble bee","Common Carder Bee"],"licence":"Open government licence","lineage":"Worker locations were recorded in the field using a handheld GPS (Garmin Etrex 10, accurate to 3m). Worker bumblebee DNA was sampled non-lethally, stored, extracted, genotyped and individuals assigned to species and full-sib groups (colonies) using recognised standard protocols. Data were checked for errors at all stages by staff at the Centre for Ecology & Hydrology and at the Institute of Zoology.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"orcid":["https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of East Anglia","Institute of Zoology/University of Bristol","Institute of Zoology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1407916526656","https://catalogue.ceh.ac.uk/id/a60f52b8-0f9f-44f6-aca4-861cb461a0eb","10.5285/a60f52b8-0f9f-44f6-aca4-861cb461a0eb"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18","https://ror.org/04xw4m193"],"state":"published","title":"Location data of worker bumblebees across an agricultural landscape in Buckinghamshire, UK","topic":["0/Pollinators/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"This dataset contains locations of worker bumblebees of five species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum, B. ruderatus) across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Locations were recorded in the field..."},{"publicationDate":"2021-11-04T00:00:00.000+00:00","authorAffiliation":["Brazilian Agriculture Research Corporation - Embrapa","Imperial College London","Universidade Federal de Pernambuco"],"authorGivenName":["M.S.B.","J.","H.F.S.","R.Q."],"authorFamilyName":["Moura","Lloyd","Carvalho","Miranda"],"authorFullName":["Moura, M.S.B.","Lloyd, J.","Carvalho, H.F.S.","Miranda, R.Q."],"authorOrcid":["https://orcid.org/0000-0002-2844-1399","https://orcid.org/0000-0002-9052-7898","https://orcid.org/0000-0002-5464-2397"],"authorRor":["https://ror.org/0482b5b22","https://ror.org/041kmwe10","https://ror.org/047908t24"],"catalogue":"eidc","description":"This dataset contains 3D Lidar scans representative for 0.5 ha permanent sample plots at Caatinga, Brazil. Two plots were located in Serra das Almas Reserve (SDA) and one plot in Petrolina (PET). The dataset also includes scans completed inside and outside for 10 individual trees. Scans were taken between July 2017 and May 2019. 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Two plots were located in Serra das Almas Reserve (SDA) and one plot in Petrolina (PET). The dataset also includes scans completed inside and outside for 10 individual..."},{"publicationDate":"2017-12-18T00:00:00.000+00:00","authorAffiliation":["University of Edinburgh","University of Zimbabwe","Universidade Eduardo Mondlane","Universidade Lurio","Universidade Zambeze","Centro polivalente Leão Dehon"],"authorGivenName":["E.","I","A.","C.M.","O.","I.A.","A.A.","S.N.","J.F.","L.","M.","S.","H.","D.","C.","A.M.","N.","L.P.","F.","P."],"authorFamilyName":["Woollen","Grundy","Bechel","Ryan","Nhaduco","Daude","Manguiao","Da Costa","Lisboa","Junior","Mutemba","Pais","Zavale","Cumbula","Xerinda","Buque","Meneses","Rodrigues","Mário","Ribeiro","Domingos","Mbandze","Armando","Jennings"],"authorFullName":["Woollen, E.","Grundy, I.","Bechel, A.","Ryan, C.M.","Nhaduco, O.","Daude, I.A.","Manguiao, A.A.","Da Costa, A.A.","Lisboa, S.N.","Junior, J.F.","Mutemba, L.","Pais, A.","Zavale, M.","Cumbula, S.","Xerinda, H.","Buque, H.","Meneses, D.","Rodrigues, C.","Mário, A.M.","Ribeiro, N.","Domingos, L.P.","Mbandze, A.","Armando, F.","Jennings, P."],"authorOrcid":["https://orcid.org/0000-0002-6504-4835","https://orcid.org/0000-0002-4552-0961","https://orcid.org/0000-0002-1802-0128"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/04ze6rb18","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/02azgvq37"],"catalogue":"eidc","description":"The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Lists of local tree names were collated from several forest plots and agricultural field surveys occurring within the sampled villages, and their species identified in the field by the authors and/or from dried and pressed samples by botanists at the Universidade Eduardo Mondlane in Maputo. Tree species uses by local populations were recorded through a mixture of key informant interviews, focus group discussions, village surveys and ad-hoc observations. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K010395/1"],"identifier":"52371ef0-855f-40c8-8567-f8965f9cbf03","incomingCitationCount":0,"givenName":["E.","I","A.","C.M.","O.","I.A.","A.A.","S.N.","J.F.","L.","M.","S.","H.","D.","C.","A.M.","N.","L.P.","F.","P."],"familyName":["Woollen","Grundy","Bechel","Ryan","Nhaduco","Daude","Manguiao","Da Costa","Lisboa","Junior","Mutemba","Pais","Zavale","Cumbula","Xerinda","Buque","Meneses","Rodrigues","Mário","Ribeiro","Domingos","Mbandze","Armando","Jennings"],"fullName":["Woollen, E.","Grundy, I.","Bechel, A.","Ryan, C.M.","Nhaduco, O.","Daude, I.A.","Manguiao, A.A.","Da Costa, A.A.","Lisboa, S.N.","Junior, J.F.","Mutemba, L.","Pais, A.","Zavale, M.","Cumbula, S.","Xerinda, H.","Buque, H.","Meneses, D.","Rodrigues, C.","Mário, A.M.","Ribeiro, N.","Domingos, L.P.","Mbandze, A.","Armando, F.","Jennings, P."],"keyword":["Mozambique","Africa","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District"," Zambezia Province","Ecosystem services","firewood","construction","medicine","cultural","hunting","cultural heritage","food","charcoal"],"keywordsPlace":["Mozambique","Africa","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District"," Zambezia Province"],"keywordsTheme":["Ecosystem services"],"keywordsOther":["firewood","construction","medicine","cultural","hunting","cultural heritage","food","charcoal"],"licence":"Open government licence","lineage":"All data were quality assured by the first and second author. When in the field, all teams were trained in data collection methods to ensure consistent robust records. All field teams had a translator to translate from the local language to Portuguese or English. All observations recorded in Portuguese were translated to English by the lead author. If several different species were identified for the same local name a preference for the identification made in the field, rather than that of the dried sample, was made, as correct identification of whole trees are more likely to be correct. If identification was very uncertain, species were labelled as 'unknown'. Grouping all recorded local tree names and synonyms into similar sounding/spelled groups to assign a standardized local name was done by the lead for consistency.","locations":["POLYGON((29.68 -27.479, 29.68 -10.347, 42.248 -10.347, 42.248 -27.479, 29.68 -27.479))"],"orcid":["https://orcid.org/0000-0002-6504-4835","https://orcid.org/0000-0002-4552-0961","https://orcid.org/0000-0002-1802-0128"],"organisation":["University of Edinburgh","University of Zimbabwe","Universidade Eduardo Mondlane","Universidade Lurio","Universidade Zambeze","Centro polivalente Leão Dehon","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/52371ef0-855f-40c8-8567-f8965f9cbf03","10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04ze6rb18","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/02azgvq37","https://ror.org/04xw4m193"],"state":"published","title":"Local tree names, uses and species identification in Mozambique","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","hajd"],"shortenedDescription":"The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages..."},{"publicationDate":"2017-07-06T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Cumbria County Council","Institute of Terrestrial Ecology"],"authorGivenName":["R.G.H.","R.S.","M.","C.M."],"authorFamilyName":["Bunce","Smith","Booy","Wood"],"authorFullName":["Bunce, R.G.H.","Smith, R.S.","Booy, M.","Wood, C.M."],"authorOrcid":["https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises plant species, soils, habitat types and major biota present,  collected during a survey of the English county of Cumbria, using standardised survey methods.  The survey was undertaken by the Institute of Terrestrial Ecology (a forerunner of the Centre for Ecology & Hydrology) in 1975 within a stratified random set of sites.  In total, up to 650 plots were surveyed from within 48 x 1km squares.","documentType":"GEMINI_DOCUMENT","identifier":"e96b909d-d52e-4b36-bc51-905ece420794","incomingCitationCount":0,"givenName":["C.M.","R.G.H.","R.S.","M."],"familyName":["Wood","Bunce","Smith","Booy"],"fullName":["Wood, C.M.","Bunce, R.G.H.","Smith, R.S.","Booy, M."],"keyword":["Cumbria","Biodiversity","Environmental survey","Soil","vascular plants","soil","bryophytes"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Biodiversity","Environmental survey","Soil"],"keywordsOther":["vascular plants","soil","bryophytes"],"licence":"Open government licence","lineage":"Data were collected on paper by trained field surveyors using standardised methods and later digitised by the Centre for Ecology & Hydrology, Lancaster.  Soil samples were analysed at laboratories belonging to the Institute of Terrestrial Ecology, Merlewood, Grange-over-Sands.","locations":["POLYGON((-3.657 54.008, -3.657 55.019, -2.465 55.019, -2.465 54.008, -3.657 54.008))"],"orcid":["https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","Cumbria County Council","Institute of Terrestrial Ecology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e96b909d-d52e-4b36-bc51-905ece420794","10.5285/e96b909d-d52e-4b36-bc51-905ece420794"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Report from 1975 survey"],"title":"Terrestrial habitat, vegetation and soil data from Cumbria, England, 1975","topic":["0/Biodiversity/","0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset comprises plant species, soils, habitat types and major biota present,  collected during a survey of the English county of Cumbria, using standardised survey methods.  The survey was undertaken by the Institute of Terrestrial Ecology (a forerunner of the..."},{"publicationDate":"2016-03-17T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["A.","S."],"authorFamilyName":["Perry","Cavers"],"authorFullName":["Perry, A.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine.\n\nData include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement, record of branching and a defoliation assessment for each tree in the trial plus measurements of individual infected needles (length of lesions, number of lesions per needle, length of needle).\n\nThe trial was transplanted from CEH Edinburgh in April 2013 to Torrs Warren forest, Galloway, a site known to be infected with Dothistroma needle blight (DNB), caused by Dothistroma septosporum. The experiment ran until September 2015 with infection assessments (% estimated DNB severity per tree) performed roughly every 6 months from September 2013.\n","documentType":"GEMINI_DOCUMENT","identifier":"99e028cc-4c3c-490b-bade-b9ef062a16e8","incomingCitationCount":1,"givenName":["Annika","A.","S."],"familyName":["Perry","Cavers"],"fullName":["Perry, A.","Cavers, S."],"keyword":["Environmental risk","Dothistroma septosporum","Pinus sylvestris"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Dothistroma septosporum","Pinus sylvestris"],"licence":"Open government licence","lineage":"There are eight Scottish Scots pine populations (Ballochbuie, Blackwood of Rannoch, Beinn Eighe, Coille Coire Chuilc, Glen Affric, Glen Loy, Glen Tanar, Rothiemurcus) with four families per population each consisting of six individuals = total 192 trees. The trees were grown from seed collected at each site, and germinated in spring 2007 at CEH Edinburgh. They were transplanted in 2013 when they were six years old. The transplantation site at Torrs Warren was adjacent to stands of Corsican and lodgepole pine which were infected with Dothistroma needle blight.\n\nThe trees were transplanted in 6 litre pots and were staked to the ground at 0.5 m spacing. A guard row of Scots pine trees (also at 0.5 m spacing) was placed around the edge of the trial to minimise edge effects.\n\nWeeding, to cut back brambles and bracken surrounding the trees, was performed annually in the summer.\n\nThe trial consists of six randomised blocks each containing one individual per family.\n\nThe data were collected as part of the PROTREE project (funded jointly by a grant from BBSRC, Defra, ESRC, the Forestry Commission, NERC and the Scottish Government, under the Tree Health and Plant Biosecurity Initiative) and Annika Perry's PhD studentship which was funded by NERC Centre for Ecology & Hydrology and Forest Research.\n","locations":["POLYGON((-4.888 54.863, -4.888 54.865, -4.886 54.865, -4.886 54.863, -4.888 54.863))"],"orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99e028cc-4c3c-490b-bade-b9ef062a16e8","10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Susceptibility of native Scots pine (Pinus sylvestris) to Dothistroma septosporum following natural inoculation at Torrs Warren, Galloway 2013-2015","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine.\n\nData include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement,..."},{"catalogue":"eidc","description":"This series comprises biological, ecological, modelled and physical data from the Diversity of Upland Rivers for Ecosystem Service Sustainability (DURESS) project. The DURESS project addressed how biodiversity in upland rivers provides the ecosystem services on which people depend. Work for the project was carried out in Welsh river catchments. The three million pound project was launched in May 2012 and involved a consortium of 28 researchers from a range of disciplines and institutions led from Cardiff University.  Key stakeholders involved represented the water industry, policy makers, the health sector, regulators, nature conservation, land owners, land managers and the leisure industry. \n\nThe DURESS project finished in December 2015; it was part of a major UK Research Council initiative, Biodiversity & Ecosystem Service Sustainability (BESS). \n","documentType":"GEMINI_DOCUMENT","identifier":"af32b249-e1a5-4c03-8fe2-4fb0e4f474bd","incomingCitationCount":0,"givenName":["I."],"familyName":["Durance"],"fullName":["Durance, I."],"keyword":["DURESS","Diversity of Upland Rivers for Ecosystem Service Sustainability","NE/J014826/1","Biodiversity and Ecosystem Service Sustainability","BESS","NERC","Natural Environment Research Council","BBSRC","Biotechnology and Biological Sciences Research Council","Cardiff University"],"keywordsOther":["DURESS","Diversity of Upland Rivers for Ecosystem Service Sustainability","NE/J014826/1","Biodiversity and Ecosystem Service Sustainability","BESS","NERC","Natural Environment Research Council","BBSRC","Biotechnology and Biological Sciences Research Council","Cardiff University"],"licence":"Non-Open government licence","lineage":"Complete lineage is given for each dataset on the relevant CEH Data Catalogue Record.","locations":["POLYGON((-5.37 51.36, -5.37 53.43, -2.7 53.43, -2.7 51.36, -5.37 51.36))"],"organisation":["Cardiff University"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af32b249-e1a5-4c03-8fe2-4fb0e4f474bd"],"resourceStatus":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/03kk7td41"],"state":"published","supplementalDescription":["DURESS project website","Biodiversity & Ecosystem Service Sustainability (BESS) is a six-year (2011-2017) NERC research programme, supported by BBSRC, designed to answer fundamental questions about the functional role of biodiversity in key ecosystem processes and the delivery of ecosystem processes at the landscape scale"],"supplementalName":["DURESS Website","BESS website"],"title":"The DURESS project - Diversity of Upland Rivers for Ecosystem Service Sustainability ","version":1.0,"view":["public","danor"],"shortenedDescription":"This series comprises biological, ecological, modelled and physical data from the Diversity of Upland Rivers for Ecosystem Service Sustainability (DURESS) project. The DURESS project addressed how biodiversity in upland rivers provides the ecosystem services on which..."},{"publicationDate":"2013-03-04T00:00:00.000+00:00","altTitle":["MultiMOVE Version 1.0"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorGivenName":["P.","E.C.","C.D.","B.A.","S.M.","A."],"authorFamilyName":["Henrys","Rowe","Evans","Emmett","Smart","Butler"],"authorFullName":["Henrys, P.","Rowe, E.C.","Evans, C.D.","Emmett, B.A.","Smart, S.M.","Butler, A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 2.10.1 and depends on R packages 'leaps', 'earth', 'fields' and 'mgcv'.","documentType":"GEMINI_DOCUMENT","identifier":"c4d0393e-ff0a-47da-84e0-09ca9182e6cb","incomingCitationCount":0,"givenName":["Peter","P.","E.C.","C.D.","B.A.","S.M.","A."],"familyName":["Henrys","Rowe","Evans","Emmett","Smart","Butler"],"fullName":["Henrys, P.","Rowe, E.C.","Evans, C.D.","Emmett, B.A.","Smart, S.M.","Butler, A."],"keyword":["Great Britain","Modelling","Vegetation science","ecology","vegetation","model"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling"],"keywordsOther":["Vegetation science","ecology","vegetation","model"],"licence":"Non-Open government licence","lineage":"Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6875999999999998 60.85, 2.6875999999999998 49.837, -9.227 49.837))"],"orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Model code","resourceIdentifier":["10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb","https://catalogue.ceh.ac.uk/id/c4d0393e-ff0a-47da-84e0-09ca9182e6cb"],"resourceStatus":"Superseded","resourceType":"Application","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Manual for R Statistical Environment extensions"],"title":"MultiMOVE: A Package of niche models for British vegetation","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from..."},{"publicationDate":"2016-10-31T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A."],"authorFamilyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres) and soil moisture as metre cubed per metre cubed. The data run from 01/07/2015 until 31/08/2016. Data were recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20 to 30 years. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data collection, processing and quality checking were carried out by CEH Bangor staff members.","documentType":"GEMINI_DOCUMENT","identifier":"54de61a1-8749-4851-a1c0-c71f9d483c7d","incomingCitationCount":0,"givenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A.","Sabine"],"familyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"fullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"keyword":["Clocaenog","Climate and climate change","heathland","meteorology"],"keywordsPlace":["Clocaenog"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["heathland","meteorology"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.This dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Soil and air temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific.  Daily average values were downloaded to csv files for ingestion to the Environmental Information Data Centre.\n\nData were collected from the climate change field site Climoor which is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season. Warming roofs were in operation from 1st April 2014 - 19th November 2015 and were started again on 6th April 2016. Drought roofs were in operation 7th April - 23rd September 2015. The drought roofs were not in operation in 2016.\n","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54de61a1-8749-4851-a1c0-c71f9d483c7d","10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2015-2016","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres)..."},{"publicationDate":"2018-08-15T00:00:00.000+00:00","authorAffiliation":["Loughborough University"],"authorGivenName":["A.D.","D.B","N.J."],"authorFamilyName":["Radbourne","Ryves","Anderson"],"authorFullName":["Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"authorOrcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"authorRor":["https://ror.org/04vg4w365"],"catalogue":"eidc","description":"This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and diatom assemblages. The sediment trap data cover the period from October 2004 to January 2017, while the thermal profiles cover October 2005 to December 2016. Diatom data is presented with date, percentage taxa abundance and diatom fluxes based on total sediment yield. Temperature profiles are presented as mean daily figures. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with the temperature data funded by the UKLEON (UK Lake Ecological Observatory Network) project via a NERC small grant [grant number NE/I007261/1].","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002493/1"],"identifier":"16f52064-a19d-4cf5-a388-aff04a592179","incomingCitationCount":0,"givenName":["Alan","A.D.","D.B","N.J."],"familyName":["Radbourne","Ryves","Anderson"],"fullName":["Radbourne, A.","Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"keyword":["Rostherne Mere","Stephanodiscus parvus","Sediment traps","diatom","stratification","water temperature","UKLEON","UK Lake Ecological Observatory Network","relative resistance to thermal mixing","RTRM"],"keywordsPlace":["Rostherne Mere"],"keywordsOther":["Stephanodiscus parvus","Sediment traps","diatom","stratification","water temperature","UKLEON","UK Lake Ecological Observatory Network","relative resistance to thermal mixing","RTRM"],"licence":"Open government licence","lineage":"Sediment trapping using open traps and sequencing traps was carried out at Rostherne Mere from January 2004 to January 2017. Traps were deployed in a central lake location at 10 m and 25 m water depths, sequentially opening into 12 individual 250 ml HDPE bottles, each representing a ~2 week collection period (in January and February longer collection periods of 3-4 weeks were used). The traps were reset every ~6 months as dictated by the trapping interval used, with trap sediment kept cool, dark and sealed during transport to the laboratory where it was stored frozen prior to analysis. All trap samples were freeze-dried prior to analysis and weighed for total trap sample dry sediment flux. ","locations":["POLYGON((-2.397 53.346, -2.397 53.36, -2.369 53.36, -2.369 53.346, -2.397 53.346))"],"orcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"organisation":["Loughborough University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/16f52064-a19d-4cf5-a388-aff04a592179","10.5285/16f52064-a19d-4cf5-a388-aff04a592179"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"state":"published","title":"Sediment trap diatom assemblages from Rostherne Mere, Cheshire, UK (2004-2017)","version":1.0,"view":["public","jgar"],"shortenedDescription":"This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and..."},{"publicationDate":"2021-07-26T00:00:00.000+00:00","authorAffiliation":["University of Leeds","University of East Anglia","University of Groningen","University of Sheffield"],"authorGivenName":["A.M.","L.G.","M.","E.A.","J.","T.","D.S.","H.L."],"authorFamilyName":["Sparks","Spurgin","van der Velde","Fairfield","Komdeur","Burke","Richardson","Dugdale"],"authorFullName":["Sparks, A.M.","Spurgin, L.G.","van der Velde, M.","Fairfield, E.A.","Komdeur, J.","Burke, T.","Richardson, D.S.","Dugdale, H.L."],"authorOrcid":["https://orcid.org/0000-0002-7697-4632","https://orcid.org/0000-0002-0874-9281","https://orcid.org/0000-0003-3848-1244","https://orcid.org/0000-0001-7226-9074","https://orcid.org/0000-0001-8769-0099"],"catalogue":"eidc","description":"These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex, age, birth period, qPCR plate identity, RTL, technician, territory, field period, mum ID, dad ID, mum age at conception, dad age at conception, dominant female ID in the natal territory, dominant male ID in the natal territory","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P011284/1"],"identifier":"8a8240a2-e8ed-495d-ae93-c35200956764","incomingCitationCount":1,"givenName":["A.M.","L.G.","M.","E.A.","J.","T.","D.S.","H.L.","Hannah"],"familyName":["Sparks","Spurgin","van der Velde","Fairfield","Komdeur","Burke","Richardson","Dugdale"],"fullName":["Sparks, A.M.","Spurgin, L.G.","van der Velde, M.","Fairfield, E.A.","Komdeur, J.","Burke, T.","Richardson, D.S.","Dugdale, H.L.","Dugdale, H."],"keyword":["Life history","Telomere","Seychelles Warbler","Senescence","Biomarkers"],"keywordsOther":["Life history","Telomere","Seychelles Warbler","Senescence","Biomarkers"],"licence":"Open government licence","lineage":"Blood samples (~25 μl) were collected and stored at room temperature in absolute ethanol. DNA was extracted using a DNeasy blood and tissue kit (Qiagen) according to the manufacturer’s instructions with modification of overnight lysis at 37 °C and a final DNA elution volume of 80 μl. DNA concentration and purity were quantified using a NanoDrop 8000 Spectrophotometer (ThermoScientific). The following thresholds were applied before samples were included for further analysis: (1) DNA concentration must be at least 15 ng/μl (based on a mean of three measurements), (2) the 260/280 absorbance ratio has to be between 1.8 and 2.0 for acceptable DNA purity, and (3) the 260/230 absorbance ratio must be higher than 1.8. DNA integrity was further validated by visualisation with ethidium bromide after electrophoresis on a 1.2% agarose gel, and all samples with evidence of DNA degradation were re-extracted or excluded. All DNA extractions that passed the above criteria were diluted to 3.3 ng/μl before telomere measurement. We used quantitative polymerase chain reaction to calculate a relative measure of telomere length that describes the amount of telomeric DNA in a sample relative to that of GAPDH, a constantly expressed reference gene.","locations":["POLYGON((55.645 -4.345, 55.645 -4.316, 55.679 -4.316, 55.679 -4.345, 55.645 -4.345))"],"orcid":["https://orcid.org/0000-0002-7697-4632","https://orcid.org/0000-0002-0874-9281","https://orcid.org/0000-0003-3848-1244","https://orcid.org/0000-0001-7226-9074","https://orcid.org/0000-0001-8769-0099"],"organisation":["University of Leeds","University of East Anglia","University of Groningen","University of Sheffield","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a8240a2-e8ed-495d-ae93-c35200956764","10.5285/8a8240a2-e8ed-495d-ae93-c35200956764"],"resourceStatus":"Controlled","resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Telomere length data from a wild population of Seychelles Warblers on Cousin Island, 1995-2014","version":1.0,"view":["public","shar1"],"shortenedDescription":"These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex,..."},{"publicationDate":"2022-09-09T00:00:00.000+00:00","authorAffiliation":["University of Leeds","Yale University ","Smithsonian Tropical Research Institute","University of Texas at Austin"],"authorGivenName":["W.B.","L.S.","S.J.","O.L.","B.E.","S.A."],"authorFamilyName":["Barker","Comita","Wright","Phillips","Sedio","Batterman"],"authorFullName":["Barker, W.B.","Comita, L.S.","Wright, S.J.","Phillips, O.L.","Sedio, B.E.","Batterman, S.A."],"authorOrcid":["https://orcid.org/0000-0002-3095-3940","https://orcid.org/0000-0002-9169-1331","https://orcid.org/0000-0003-4260-5676","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0002-1723-9822","https://orcid.org/0000-0002-7703-9873"],"catalogue":"eidc","description":"This dataset contains measurements of herbivory and the potential controls on herbivory for nitrogen-fixing and non-fixing trees in a mature tropical forest of Panama. Data include herbivory measures on 1,626 leaves from 350 seedlings belonging to 43 species, 23 nitrogen-fixing species, 20 non-fixing species. Herbivory metrics are presented at the leaf and seedling level. The data also includes leaf chemical and physical traits hypothesized to influence herbivory at the species level, and seedling-level traits such as stem length and growth rate. Data were collected in 2017 by measuring leaf area missing on seedlings in the BCI 50 ha plot seedling census in order to determine whether fixers have higher rates of herbivory than non-fixers, and what traits govern herbivory. Data were collected by W. Barker, S.J. Wright, L. Comita, B. Sedio and colleagues.\n\nFunders of research generating the data include the Natural Environment Research Council, U.S. National Science Foundation, Leverhulme Trust, British Council, Society of Experimental Biology Company of Biologists, University of Leeds Priestly International Centre for Climate and Smithsonian Tropical Research Institute","documentType":"GEMINI_DOCUMENT","identifier":"67c95112-edee-435f-9355-9d8bab3a5634","incomingCitationCount":0,"givenName":["W.B.","L.S.","S.J.","O.L.","B.E.","S.A.","Sarah"],"familyName":["Barker","Comita","Wright","Phillips","Sedio","Batterman"],"fullName":["Barker, W.B.","Comita, L.S.","Wright, S.J.","Phillips, O.L.","Sedio, B.E.","Batterman, S.A.","Batterman, S."],"keyword":["Fixer","Herbivory","Panama","Leaf traits","ecology","biogeochemistry","nitrogen fixation","tropical forest","leaf"],"keywordsOther":["Fixer","Herbivory","Panama","Leaf traits","ecology","biogeochemistry","nitrogen fixation","tropical forest","leaf"],"licence":"Open government licence","lineage":"Leaf herbivory data was collected by W. Barker in the 50 ha plot on Barro Colorado Island (BCI) in 2017 and 2018, using a portable document scanner to scan leaves and the image analysis program ImageJ to quantify leaf area lost to herbivory. Standing herbivory was measured on mature leaves and herbivory rate was measured by following herbivory levels on young leaves over three months. \n\nThese leaf and seedling level herbivory measurements were used to predict species level mean herbivory. \n\nThe leaf and seedling level herbivory measurements were combined with pre-existing leaf trait data at the species level provided by S. J. Wright, leaf chemical similarity data at the species level provided by B. Sedio and, stem length and growth rate data at the seedling level provided by L. Comita. ","locations":["POLYGON((-79.881 9.135, -79.881 9.177, -79.809 9.177, -79.809 9.135, -79.881 9.135))"],"orcid":["https://orcid.org/0000-0002-3095-3940","https://orcid.org/0000-0002-9169-1331","https://orcid.org/0000-0003-4260-5676","https://orcid.org/0000-0002-8993-6168","https://orcid.org/0000-0002-1723-9822","https://orcid.org/0000-0002-7703-9873"],"organisation":["University of Leeds","Yale University ","Smithsonian Tropical Research Institute","University of Texas at Austin","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/67c95112-edee-435f-9355-9d8bab3a5634","10.5285/67c95112-edee-435f-9355-9d8bab3a5634"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"state":"published","title":"Herbivory rates, species traits and leaf traits across symbiotic nitrogen-fixing and non-fixing species from a Panamanian tropical forest, 2007-2019","version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains measurements of herbivory and the potential controls on herbivory for nitrogen-fixing and non-fixing trees in a mature tropical forest of Panama. Data include herbivory measures on 1,626 leaves from 350 seedlings belonging to 43 species, 23 nitrogen-fixing..."},{"publicationDate":"2011-04-01T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Rothamsted Research","Forest Research","DSTL","Countryside Council for Wales","ADAS UK Ltd","The James Hutton Institute"],"authorGivenName":["J.","C.","D.A.","S.","D.R.","D.","D.T.","E.S.","R.","A.","T.","R.I.","M.","H."],"authorFamilyName":["Dick","Andrews","Beaumont","Benham","Brooks","Corbett","Lloyd","McMillan","Monteith","Pilgrim","Rose","Scott","Smith","Taylor","Turner","Watson"],"authorFullName":["Dick, J.","Andrews, C.","Beaumont, D.A.","Benham, S.","Brooks, D.R.","Corbett, S.","Lloyd, D.","McMillan, S.","Monteith, D.T.","Pilgrim, E.S.","Rose, R.","Scott, A.","Scott, T.","Smith, R.I.","Taylor, C.","Taylor, M.","Turner, A.","Watson, H."],"authorOrcid":["https://orcid.org/0000-0002-4180-9338","https://orcid.org/0000-0003-2428-272X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/03wcc3744","https://ror.org/006d11e04","https://ror.org/03rzp5127"],"catalogue":"eidc","description":"73 ecosystem services variables for 11 Environmental Change Network (ECN) sites throughout the UK mainland. The variables cover provisioning (food, fibre, fuel, genetic resources, biochemical and pharmaceuticals, ornamental), regulating (air quality regulation, climate regulation, water regulation, erosion, human diseases, biological control, pollination, natural hazard, other hazards) and cultural (cultural diversity) service types. The list of variables was agreed at an ECN site manager's workshop as representative of the high level categories defined by the Millennium Ecosystem Assessment. The variables were calculated from data from three sources (i) data collected for the ECN to standard ECN protocols, (ii) data obtained by site managers from a variety of other sources for their site and (iii) expert knowledge of site managers. The data were from a single year (usually 2009) or were averages of annual measurements. Established in 1992, the ECN is the UK's long-term environmental monitoring and research programme and makes regular measurements of air, soil, water and a range of animals and plants across a network of sites to determine how and why the natural environment is changing. The ECN is a multi-agency programme sponsored by a consortium of UK government departments and agencies.","documentType":"GEMINI_DOCUMENT","identifier":"2c5f823d-0dca-4e66-b021-de3e81131979","incomingCitationCount":0,"givenName":["J.","C.","D.A.","S.","D.R.","D.","D.T.","E.S.","R.","A.","T.","R.I.","M.","H."],"familyName":["Dick","Andrews","Beaumont","Benham","Brooks","Corbett","Lloyd","McMillan","Monteith","Pilgrim","Rose","Scott","Smith","Taylor","Turner","Watson"],"fullName":["Dick, J.","Andrews, C.","Beaumont, D.A.","Benham, S.","Brooks, D.R.","Corbett, S.","Lloyd, D.","McMillan, S.","Monteith, D.T.","Pilgrim, E.S.","Rose, R.","Scott, A.","Scott, T.","Smith, R.I.","Taylor, C.","Taylor, M.","Turner, A.","Watson, H."],"keyword":["United Kingdom","Alice Holt","Cairngorm","Drayton","Glensaugh","Moor House","North Wyke","Porton Down","Rothamsted","Snowdon","Sourhope","Natural Capital","Ecosystem services","Watt Section"],"keywordsPlace":["United Kingdom","Alice Holt","Cairngorm","Drayton","Glensaugh","Moor House","North Wyke","Porton Down","Rothamsted","Snowdon","Sourhope"],"keywordsOther":["Natural Capital","Ecosystem services","Watt Section"],"licence":"Non-Open government licence","lineage":"A workshop was held in January 2010 where a common list of ecosystem service variables were agreed by the ECN site managers. The Millennium Ecosystem Assessment (http://www.unep.org/maweb/en/Framework.aspx) was used as a recognised source of definitions and as a framework to identify goods and services for which variables or proxies were required. The 11 selected sites were examined to ensure representativeness of the wider landscape in respect to climate (rainfall and temperature), land cover and land management (through vegetation analysis). The data for these sites have come from several sources. Data collected by the ECN are run through a series of quality assurance checks and a system of quality flags and codes ensures that the data are properly qualified. The other data sources have required the expertise of and knowledge of the sites by the site managers to ensure the representiveness and accuracy of the data.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-4180-9338","https://orcid.org/0000-0003-2428-272X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","Rothamsted Research","Forest Research","DSTL","Countryside Council for Wales","ADAS UK Ltd","The James Hutton Institute","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1364978072761","https://catalogue.ceh.ac.uk/id/2c5f823d-0dca-4e66-b021-de3e81131979","10.5285/2c5f823d-0dca-4e66-b021-de3e81131979"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/0347fy350","https://ror.org/03wcc3744","https://ror.org/006d11e04","https://ror.org/03rzp5127"],"state":"published","supplementalDescription":["Dick, J., Andrews, C., Beaumont, D. A., Benham, S., Brooks, D. R., Corbett, S., ... Watson, H. (2011). A comparison of ecosystem services delivered by 11 long-term monitoring sites in the UK environmental change network. Environmetrics, 22(5), 639-648"],"title":"Ecosystem services variables from the UK Environmental Change Network (ECN)","version":1.0,"view":["public","rjsc"],"shortenedDescription":"73 ecosystem services variables for 11 Environmental Change Network (ECN) sites throughout the UK mainland. The variables cover provisioning (food, fibre, fuel, genetic resources, biochemical and pharmaceuticals, ornamental), regulating (air quality regulation, climate..."},{"publicationDate":"2022-11-08T00:00:00.000+00:00","authorAffiliation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo"],"authorGivenName":["L.","J.","K.N.","Y.","D."],"authorFamilyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96"],"catalogue":"eidc","description":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods are estimated using CMIP6 projections and subsequently used to extract flood maps from a global flood model.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S3003061/1"],"identifier":"0d5d69ae-7f50-40ee-a0c9-2522de138f27","incomingCitationCount":0,"givenName":["L.","J.","K.N.","Y.","D."],"familyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"keyword":["Vietnam","Hydrology","Climate and climate change","Environmental risk","Flood Risk","Future Flood Risk","flood","climate change"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Hydrology","Climate and climate change","Environmental risk"],"keywordsOther":["Flood Risk","Future Flood Risk","flood","climate change"],"licence":"Open government licence","lineage":"This version of the global flood model develops that of Sampson et al (2015) by including an improved method to estimate channel conveyance (Neal et al., 2021) and an improved elevation dataset (Yamazaki et al., 2017).","locations":["POLYGON((98.613 5.504, 98.613 25.573, 114.609 25.573, 114.609 5.504, 98.613 5.504))"],"orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo","NERC EDS Environmental Information Data Centre","Fathom"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d5d69ae-7f50-40ee-a0c9-2522de138f27","10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Hirabayashi et al., 2021","Sampson et al., 2015","Neal et al., 2021","Yamazaki et al., 2017"],"title":"Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100 ","topic":["0/Hydrology/","0/Climate and climate change/","0/Environmental risk/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods..."},{"publicationDate":"2015-09-25T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["M.","H.","I.","D.G.","V.D.J."],"authorFamilyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"authorFullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"authorOrcid":["https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2014. The rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.","documentType":"GEMINI_DOCUMENT","identifier":"f2856ee8-da6e-4b67-bedb-590520c77b3c","incomingCitationCount":6,"givenName":["Virginie","M.","H.","I.","D.G.","V.D.J."],"familyName":["Keller","Tanguy","Dixon","Prosdocimi","Morris"],"fullName":["Keller, V.","Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"keyword":["Great Britain","Northern Ireland","United Kingdom","Climate and climate change","Daily","monthly"],"keywordsPlace":["Great Britain","Northern Ireland","United Kingdom"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["Daily","monthly"],"licence":"Non-Open government licence","lineage":"The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month availabe) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.\n\nThis version of the CEH-GEAR dataset differs from the previous version (1890-2012) only by temporal coverage.  That is, previous years' data have not been modified.","locations":["POLYGON((-8.2 49.1, -8.2 60.1, 1.8 60.1, 1.8 49.1, -8.2 49.1))"],"orcid":["https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f2856ee8-da6e-4b67-bedb-590520c77b3c","10.5285/f2856ee8-da6e-4b67-bedb-590520c77b3c"],"resourceStatus":"Superseded","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2014) [CEH-GEAR]","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","malngu","nuri"],"shortenedDescription":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2014. The rainfall estimates are derived from the Met Office national database of..."},{"publicationDate":"2018-03-19T00:00:00.000+00:00","authorAffiliation":["University of Stirling","University of East London","University of London","University of Dundee","Cranfield University"],"authorGivenName":["C.A.","H.O.","M.","C.H.","I.C.","J.A.","D.W.","J. A.","D.A."],"authorFamilyName":["Spring","Bishop","Pawlett","Robinson","Grieve","Chudek","Hopkins","Harris","Davidson"],"authorFullName":["Spring, C.A.","Bishop, H.O.","Pawlett, M.","Robinson, C.H.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Harris, J.A.","Davidson, D.A."],"authorRor":["https://ror.org/045wgfr59","https://ror.org/057jrqr44","https://ror.org/03h2bxq36","https://ror.org/05cncd958"],"catalogue":"eidc","description":"This dataset comprises botanical composition and earthworm species and abundance data, sampled from a mesocosm experiment (named Sweethope) in October 2001.   The mesocosm site replicated the layout of the main experimental plots at the NERC Soil Biodiversity site at Sourhope, Scotland and was established to avoid contaminating the main Sourhope plots.\n\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"ca8f85c5-0595-4fda-80e5-4f41839effed","incomingCitationCount":0,"givenName":["C.A.","H.O.","M.","C.H.","I.C.","J.A.","D.W.","J. A.","D.A.","Andrew"],"familyName":["Spring","Bishop","Pawlett","Robinson","Grieve","Chudek","Hopkins","Harris","Davidson","Sier"],"fullName":["Spring, C.A.","Bishop, H.O.","Pawlett, M.","Robinson, C.H.","Grieve, I.C.","Chudek, J.A.","Hopkins, D.W.","Harris, J.A.","Davidson, D.A.","Sier, A."],"keyword":["Sourhope ","Scottish borders","Biodiversity","Soil","Vascular plants","earthworm"],"keywordsPlace":["Sourhope ","Scottish borders"],"keywordsTheme":["Biodiversity","Soil"],"keywordsOther":["Vascular plants","earthworm"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.249 55.465, -2.249 55.481, -2.214 55.481, -2.214 55.465, -2.249 55.465))"],"organisation":["University of Stirling","University of East London","University of London","University of Dundee","Cranfield University","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ca8f85c5-0595-4fda-80e5-4f41839effed","10.5285/ca8f85c5-0595-4fda-80e5-4f41839effed"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/045wgfr59","https://ror.org/057jrqr44","https://ror.org/03h2bxq36","https://ror.org/05cncd958","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. "],"supplementalName":["Soil Biodiversity website "],"title":"Earthworm and botanical data from the Sweethope mesocosm experimental site, Sourhope, Scotland, 2001 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset comprises botanical composition and earthworm species and abundance data, sampled from a mesocosm experiment (named Sweethope) in October 2001.   The mesocosm site replicated the layout of the main experimental plots at the NERC Soil Biodiversity site at..."},{"publicationDate":"2024-02-12T00:00:00.000+00:00","authorAffiliation":["University of Exeter","James Cook University","UK Met Office","UK Centre for Ecology & Hydrology","National Research Council of Italy","University of Sheffield","University of Campinas"],"authorGivenName":["A.W.","F.","M.N.","T.M.","G.A.","B.B.","E.","Y.","C.P.","L.A.","R.V.","S."],"authorFamilyName":["Cheesman","Brown","Farha","Rosan","Folberth","Hayes","Moura","Paoletti","Hoshika","Osborne","Cernusak","Ribeiro","Sitch"],"authorFullName":["Cheesman, A.W.","Brown, F.","Farha, M.N.","Rosan, T.M.","Folberth, G.A.","Hayes, F.","Moura, B.B.","Paoletti, E.","Hoshika, Y.","Osborne, C.P.","Cernusak, L.A.","Ribeiro, R.V.","Sitch, S."],"authorOrcid":["https://orcid.org/0000-0003-3931-5766","https://orcid.org/0009-0008-8478-520X","https://orcid.org/0000-0002-3906-8593","https://orcid.org/0000-0003-0155-1739","https://orcid.org/0000-0002-1075-440X","https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0001-5324-7769","https://orcid.org/0000-0002-5263-2945","https://orcid.org/0000-0002-7423-3718","https://orcid.org/0000-0002-7575-5526","https://orcid.org/0000-0002-1148-6777","https://orcid.org/0000-0003-1821-8561"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/04gsp2c11","https://ror.org/00pggkr55","https://ror.org/04wffgt70"],"catalogue":"eidc","description":"This dataset contains gridded model outputs of the predicted risk to C4 sugarcane production across south central Brazil for 2010-2014.  The outputs are given as production in kg m-2 yr-1, percentage of control production (%) and production losses in kg yr-1 and Tg yr-1. The spatial resolution is 1.25 x 1.875 degrees. Three different levels of ozone susceptibility (low, moderate or high) and two distinct threshold values of phytotoxic ozone dose (0 and 2 nmol m-2 s-1) were considered. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V008498/1"],"identifier":"1513d8ed-67a9-40fc-a8e5-bd7864d0d422","incomingCitationCount":0,"givenName":["A.W.","F.","M.N.","T.M.","G.A.","B.B.","E.","Y.","C.P.","L.A.","R.V.","S."],"familyName":["Cheesman","Brown","Farha","Rosan","Folberth","Hayes","Moura","Paoletti","Hoshika","Osborne","Cernusak","Ribeiro","Sitch"],"fullName":["Cheesman, A.W.","Brown, F.","Farha, M.N.","Rosan, T.M.","Folberth, G.A.","Hayes, F.","Moura, B.B.","Paoletti, E.","Hoshika, Y.","Osborne, C.P.","Cernusak, L.A.","Ribeiro, R.V.","Sitch, S."],"keyword":["ozone","O3","C4 grasses","sugarcane","air pollution","bioenergy","Pollution"],"keywordsTheme":["Pollution"],"keywordsOther":["air pollution","bioenergy","ozone","O3","sugarcane","C4 grasses"],"licence":"Open government licence","lineage":"These data were produced using the Joint UK Land earth simulator (JULES v5.6) run on JASMIN. The sugarcane was represented in JULES by using the C4 plant functional type. The input modelled O3 exposure data were simulated using the Earth System Model (UKESM1) for the period 2000 to 2014. JULES was used to calculate annual yields with or without consideration of ozone susceptibility for a 10-year period across south-central Brazil. The spatially explicit model outputs were compared to control model output to calculate the proportional decline and absolute impacts. ","locations":["POLYGON((-56.25 -25.5, -56.25 -15, -44 -15, -44 -25.5, -56.25 -25.5))"],"orcid":["https://orcid.org/0000-0003-3931-5766","https://orcid.org/0009-0008-8478-520X","https://orcid.org/0000-0002-3906-8593","https://orcid.org/0000-0003-0155-1739","https://orcid.org/0000-0002-1075-440X","https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0001-5324-7769","https://orcid.org/0000-0002-5263-2945","https://orcid.org/0000-0002-7423-3718","https://orcid.org/0000-0002-7575-5526","https://orcid.org/0000-0002-1148-6777","https://orcid.org/0000-0003-1821-8561"],"organisation":["University of Exeter","James Cook University","UK Met Office","UK Centre for Ecology & Hydrology","National Research Council of Italy","University of Sheffield","University of Campinas","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1513d8ed-67a9-40fc-a8e5-bd7864d0d422","10.5285/1513d8ed-67a9-40fc-a8e5-bd7864d0d422"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04gsp2c11","https://ror.org/00pggkr55","https://ror.org/04wffgt70","https://ror.org/04xw4m193"],"state":"published","title":"Maps showing risk and potential impacts of ozone on sugarcane production in south-central Brazil, 2010-2014","topic":["0/Pollution/"],"version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset contains gridded model outputs of the predicted risk to C4 sugarcane production across south central Brazil for 2010-2014.  The outputs are given as production in kg m-2 yr-1, percentage of control production (%) and production losses in kg yr-1 and Tg..."},{"publicationDate":"2012-03-26T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis - http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). Countryside Survey topsoil carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). A total of 2614 cores from 591 1km x 1km squares across Great Britain were collected and analysed in 2007 (see Emmett et al. 2010 for further details of sampling and methods http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Supporting Information). Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK.","documentType":"GEMINI_DOCUMENT","identifier":"9e4451f8-23d3-40dc-9302-73e30ad3dd76","incomingCitationCount":6,"givenName":["A.M.","P.A.","D.A.","B.A."],"familyName":["Keith","Henrys","Robinson","Emmett"],"fullName":["Keith, A.M.","Henrys, P.A.","Robinson, D.A.","Emmett, B.A."],"keyword":["Soil","Broad Habitat","Carbon","Countryside Survey","Loss on ignition","Organic matter","Parent Material Model"],"keywordsTheme":["Soil"],"keywordsOther":["Broad Habitat","Carbon","Countryside Survey","Loss on ignition","Organic matter","Parent Material Model"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1332952419801","https://catalogue.ceh.ac.uk/id/9e4451f8-23d3-40dc-9302-73e30ad3dd76","10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010).  Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259).","Scott, W.A. (2008). Countryside Survey: Statistical Report. Technical Report No. 4/07. NERC/Centre for Ecology & Hydrology."],"supplementalName":["Countryside Survey Soils Report from 2007","Countryside Survey Statistical Report"],"title":"Model estimates of topsoil carbon [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis..."},{"publicationDate":"2019-06-17T00:00:00.000+00:00","authorAffiliation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University"],"authorGivenName":["M. ","D.","L.","C.","M. S.","S. M"],"authorFamilyName":["Mugabo","Gilljam","Petteway","Yuan","Fowler","Sait"],"authorFullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"authorOrcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95"],"catalogue":"eidc","description":"This dataset contains information on population counts in experimental populations of Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst).\n\nThe data was collected from a multi-generation microcosm experiment carried out to characterise the combined effects of daily stochastic temperature fluctuations and resource degradation on population responses in the Plodia-Venturia host-parasitoid trophic interaction. The population count data include the weekly total numbers of dead adult hosts and parasitoids and the numbers of live early (L1-L3) and late (L4-L5) host instars and of host and parasitoid pupae in half sections of diet removed weekly and replaced by fresh diet (half sections are a 12th of experimental population boxes). The temperature time series data include the date and daily temperature in the fluctuating temperatures treatment.","documentType":"GEMINI_DOCUMENT","identifier":"54b722a7-7cda-4817-86a5-b96ad0bb4ae7","incomingCitationCount":1,"givenName":["M. ","D.","L.","C.","M. S.","S. M","Marianne"],"familyName":["Mugabo","Gilljam","Petteway","Yuan","Fowler","Sait"],"fullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"keyword":["Animal behaviour","Venturia canescens","Plodia interpunctella","parasite","Indianmeal Moth"],"keywordsTheme":["Animal behaviour"],"keywordsOther":["Venturia canescens","Plodia interpunctella","parasite","Indianmeal Moth"],"licence":"Open government licence","lineage":"The Plodia-Venturia microcosm experiment used hosts from laboratory stock cultures and parasitoids from a laboratory parthenogenetic thelytokous (asexual) strain, which were kept on non-degraded host resource at constant 28 deg C in incubators with a 16:8h light cycle. Daily temperature variation and host resource degradation (also referred as 'diet' in datasets) were manipulated in a full factorial design. Two temperature treatments in each resource degradation treatment were compared. Both temperature treatments were characterized by a mean temperature of 26°C, which did not vary in the constant ('CST') treatment and varied randomly between 22.3 and 30.2°C every 24h in the variable (‘VAR’) treatment (26°C ± 1.5°C SD, AR(1) = 0.02, 95% CI [-0.10, 0.14].\n\nA  gradient of resource degradation was created from none to high by replacing 0, 25, 50 and 75 % of wheat germ in the host’s diet with methyl cellulose, an indigestible bulking agent with no nutritional value. The microcosm experiment started on day 1 of the temperature time series and was carried out for 262 days.\n\nThree replicates of 'host alone' (Pi) and 'host-parasitoid' (PiVc) microcosms were set up in each temperature by resource treatment, giving a total of 48 (3 × 2 × 2 × 4) microcosms. Each microcosm was established with fifteen male and fifteen female fifth instar larvae randomly selected from host stock cultures in 175 x 116 x 60 mm plastic containers filled with 83 grammes of the assigned resource. All microcosms were kept at constant 26°C until all 30 host larvae had pupated, after which they were maintained under their assigned temperature treatment (week 1 of the experiment). Microcosms were left undisturbed until adult hosts emerged, mated and the first cohort of their offspring had reached the adult stage on week 8. Thereafter, for the remainder of the experiment, one sixth of the resource was replenished sequentially during weekly monitoring by replacing the oldest section with fresh resource of the same treatment. In PiVc microcosms, the second host cohort was left to develop until fourth and fifth instars were present in all treatments (on week 13). Two newly emerged adult parasitoids randomly selected from stock cultures were then added to each microcosm. Each week from week 9 to 37, dead adults were removed from each microcosm and counted, giving a measure of live host and parasitoid abundance from the previous week. Host early (L1-L3) and late (L4-L5) instars and pupae and parasitoid pupae were counted in half of each section of old diet (half section a or b) removed weekly from microcosms (counted in a 12th of each experimental population boxe). More details of the material and methods can be found in the Supplementary information.","orcid":["https://orcid.org/0000-0002-2346-2617","https://orcid.org/0000-0003-1544-0407"],"organisation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54b722a7-7cda-4817-86a5-b96ad0bb4ae7","10.5285/54b722a7-7cda-4817-86a5-b96ad0bb4ae7"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"state":"published","title":"Population count data from a resource degradation and temperature variation population dynamics experiment in the Plodia-Venturia host-parasitoid interaction","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains information on population counts in experimental populations of Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst).\n\nThe data was collected from a multi-generation microcosm experiment..."},{"publicationDate":"2020-06-17T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"499212cd-d64a-43ba-b801-95402e4d4098","incomingCitationCount":2,"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/499212cd-d64a-43ba-b801-95402e4d4098","10.5285/499212cd-d64a-43ba-b801-95402e4d4098"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2017 (25m rasterised land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Great Britain. It describes Great Britain's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats...."},{"publicationDate":"2018-11-16T00:00:00.000+00:00","authorAffiliation":["University of Sheffield","Cranfield University"],"authorGivenName":["D.R.","R.","J. A."],"authorFamilyName":["Grafius","Corstanje","Harris"],"authorFullName":["Grafius, D.R.","Corstanje, R.","Harris, J.A."],"authorOrcid":["https://orcid.org/0000-0002-6833-4993","https://orcid.org/0000-0003-3866-8316","https://orcid.org/0000-0001-9266-4979"],"authorRor":["https://ror.org/05krs5044","https://ror.org/05cncd958"],"catalogue":"eidc","description":"This dataset shows potential carbon storage as modelled for the urban areas of Milton Keynes/Newport Pagnell, Bedford, and Luton/Dunstable, UK. The modelling approach used the ‘InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) 3.1.0’ ecosystem service model suite, raster land cover maps at two spatial resolutions (5 m and 25 m) and published literature values for carbon storage by land cover. The resulting data are presented in the form of two ‘GeoTIFF’ raster map files (and associated metadata and spatial information files required by software) that can be viewed and manipulated in Geographic Information Software. The units are kg C per square meter. The purpose of the modelling was to help assess and visualise the value that urban green space represents to urban residents and natural systems in just one of many ecosystem services.\n\nThis research was conducted as part of the larger 'Fragments, Functions, Flows and Urban Ecosystem Services' (F3UES) programme. Detailed methods and results of this analysis are published in: Grafius DR, Corstanje R, Warren PH, et al (2016) The impact of land use/land cover scale on modelling urban ecosystem services. Landsc Ecol 31:1509–1522. doi: 10.1007/s10980-015-0337-7.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/J015067/1"],"identifier":"9209af2c-24f6-4e37-98fe-550032e97a2c","incomingCitationCount":0,"givenName":["Darren","D.R.","R.","J. A."],"familyName":["Grafius","Corstanje","Harris"],"fullName":["Grafius, D.","Grafius, D.R.","Corstanje, R.","Harris, J.A."],"keyword":["F3UES","UrbanBESS","carbon storage"],"keywordsProject":["F3UES","UrbanBESS"],"keywordsOther":["carbon storage"],"licence":"Open government licence","lineage":"This dataset is the result of modelling using the 'InVEST 3.1.0' ecosystem service model suite. Input parameters did not involve direct fieldwork measurements but instead drew from existing land cover maps and published literature values of carbon storage by land cover type (kg C per square meter or similar) in comparable study locations (primarily Leicester, UK; with some other UK and European mainland cities considered during the literature review stage). Data gathering, literature review and modelling took place during 2015 and 2016, with the final results published in 2016. Quality control on preliminary model versions was done informally by comparison to results reported in published literature as no empirical measurements of carbon storage were available in our study area at the time of modelling for validation purposes. Focus was therefore placed on ensuring a sound theoretical model structure and use of relevant parameters from comparable studies. This dataset therefore represents purely modelled results and should not be interpreted as empirical measurements.\n\nAboveground carbon values were adapted from: Davies ZG, Edmondson JL, Heinemeyer A, et al (2011) Mapping an urban ecosystem service: Quantifying above-ground carbon storage at a city-wide scale. J Appl Ecol 48:1125–1134. doi: 10.1111/j.1365-2664.2011.02021.x.\n\nSoil carbon values were adapted from: Edmondson JL, Davies ZG, McCormack SA, et al (2014) Land-cover effects on soil organic carbon stocks in a European city. Sci Total Environ 472:444–453. doi: 10.1016/j.scitotenv.2013.11.025.\n\nDetailed methods of this analysis and results/conclusions are published in: Grafius DR, Corstanje R, Warren PH, et al (2016) The impact of land use/land cover scale on modelling urban ecosystem services. Landsc Ecol 31:1509–1522. doi: 10.1007/s10980-015-0337-7.","locations":["POLYGON((-0.878 51.872, -0.878 52.175, -0.357 52.175, -0.357 51.872, -0.878 51.872))"],"orcid":["https://orcid.org/0000-0002-6833-4993","https://orcid.org/0000-0003-3866-8316","https://orcid.org/0000-0001-9266-4979"],"organisation":["University of Sheffield","Cranfield University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9209af2c-24f6-4e37-98fe-550032e97a2c","10.5285/9209af2c-24f6-4e37-98fe-550032e97a2c"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/05krs5044","https://ror.org/05cncd958","https://ror.org/04xw4m193"],"state":"published","title":"Modelled potential carbon storage based on land cover and published carbon storage values in urban landscapes of the South Midlands","version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset shows potential carbon storage as modelled for the urban areas of Milton Keynes/Newport Pagnell, Bedford, and Luton/Dunstable, UK. The modelling approach used the ‘InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) 3.1.0’ ecosystem service..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FAgriculture%2F","active":false,"count":62},{"name":"Animal behaviour","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FAnimal+behaviour%2F","active":false,"count":75},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FBiodiversity%2F","active":false,"count":265},{"name":"Climate and climate change","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FClimate+and+climate+change%2F","active":false,"count":147},{"name":"Ecosystem services","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FEcosystem+services%2F","active":false,"count":28},{"name":"Environmental 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