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","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Winfield","Fletcher","James"],"fullName":["Feuchtmayr, H.","Winfield, I.J.","Fletcher, J.M.","James, J.B."],"givenName":["H.","I.J.","J.M.","J.B."],"identifier":"495fd597-42b2-4985-96dc-3d9ec024b829","incomingCitationCount":1,"keyword":["Lake District","England","Green Tuft","Biodiversity","perch","Perca fluviatilis"],"keywordsOther":["perch","Perca fluviatilis"],"keywordsPlace":["Lake District","England","Green Tuft"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Perch have been monitored in the north and south basins of Windermere by trapping with variations in sampling sites and efforts from 1943 to the present. Data are presented here from 1946 onwards. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology (IFE) since 1989. Please see supporting documentation for further information.","locations":["POLYGON((-2.95 54.35, -2.95 54.4, -2.9 54.4, -2.9 54.35, -2.95 54.35))"],"metadataDate":"2026-06-27T19:58:26.000Z","orcid":["https://orcid.org/0000-0001-9296-5114","https://orcid.org/0000-0002-8788-8449"],"organisation":["UK Centre for Ecology & Hydrology","Freshwater Biological Association","Natural Environment Research Council","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-08-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1407501357815","CEH:EIDC::1407501357815","https://catalogue.ceh.ac.uk/id/495fd597-42b2-4985-96dc-3d9ec024b829","10.5285/495fd597-42b2-4985-96dc-3d9ec024b829","doi:10.5285/495fd597-42b2-4985-96dc-3d9ec024b829"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02j85cg51","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of weekly mean sizes of Perch (Perca fluviatilis) from trapping at Green Tuft, Windermere, Cumbria, sampled between 1946 and 2012. Perch have been monitored in the north and south basins of Windermere by trapping with variations in sampling sites…","state":"published","title":"Perch weekly mean sizes from Green Tuft 1946-2012","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Oxford","University of Manchester","Trees for Life"],"authorFamilyName":["Warner","Lewis","Hector","Brown","Green","Gilbert","McDonnell"],"authorFullName":["Warner, E.","Lewis, O.T.","Hector, A.","Brown, N.","Green, R.","Gilbert, D.","McDonnell, A."],"authorGivenName":["E.","O.T.","A.","N.","R.","D."],"authorOrcid":["https://orcid.org/0000-0003-2236-9725","https://orcid.org/0000-0001-7935-6111","https://orcid.org/0000-0002-1309-7716","https://orcid.org/0000-0002-9955-7858","https://orcid.org/0000-0002-2147-9087"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Ecosystem functions (including aboveground carbon, topsoil carbon, topsoil nitrogen, decomposition rates, soil invertebrate feeding, tree regeneration & vegetation structure) in woodland creation sites and unforested and mature forest areas in the Scottish Highlands.","documentType":"GEMINI_DOCUMENT","familyName":["Warner","Lewis","Hector","Brown","Green","Gilbert","McDonnell"],"fullName":["Warner, E.","Lewis, O.T.","Hector, A.","Brown, N.","Green, R.","Gilbert, D.","McDonnell, A."],"givenName":["Emily","E.","O.T.","A.","N.","R.","D."],"identifier":"b76223dd-28ae-4b0e-acd3-3b2104eaae0c","incomingCitationCount":1,"keyword":["Scottish Highlands","Ecosystem function","forest expansion","woodland creation","vegetation","soil","carbon","reforestation","decomposition","nitrogen","invertebrate","regeneration","tree"],"keywordsOther":["Ecosystem function","forest expansion","woodland creation","vegetation","soil","carbon","reforestation","decomposition","nitrogen","invertebrate","regeneration","tree"],"keywordsPlace":["Scottish Highlands"],"licence":"Open government licence","lineage":"Fieldwork to establish this dataset was carried out during June-August 2018.\n\nData were collected in 10×10m survey plots, with a focal plot in 14 ungrazed woodland creation sites, matched to grazed and ungrazed unforested plots. Data were collected in a further 5 pairs of grazed and ungrazed plots in the target habitat (Caledonian pinewood).\n\nAboveground tree carbon was calculated using allometric equations based on dbh (diameter at breast height) measured in the field in July 2018.\n\nTopsoil carbon and nitrogen was calculated based on soil sampling during July 2018. Percentage carbon and nitrogen were analysed at Forest Research’s labs. Total carbon and nitrogen were calculated based on % C/N and bulk density.\n\nDecomposition rates were calculated using the Teabag Index, teabags were buried in June and reclaimed 3 months later in August.\n\nSoil invertebrate feeding was monitored using bait lamina, which were buried for 30 days from early June to early July.\n\nVegetation structure (shrub height and moss depth) and seedling regeneration were measured in the field during June and July 2018.","locations":["POLYGON((-5.23 57.2, -5.23 57.314, -4.726 57.314, -4.726 57.2, -5.23 57.2))"],"metadataDate":"2026-06-29T16:25:36.000Z","orcid":["https://orcid.org/0000-0003-2236-9725","https://orcid.org/0000-0001-7935-6111","https://orcid.org/0000-0002-1309-7716","https://orcid.org/0000-0002-9955-7858","https://orcid.org/0000-0002-2147-9087"],"organisation":["University of Oxford","University of Manchester","Trees for Life","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b76223dd-28ae-4b0e-acd3-3b2104eaae0c","10.5285/b76223dd-28ae-4b0e-acd3-3b2104eaae0c","doi:10.5285/b76223dd-28ae-4b0e-acd3-3b2104eaae0c"],"resourceType":"Dataset","rightsHolder":["University of Oxford","Trees for Life"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Ecosystem functions (including aboveground carbon, topsoil carbon, topsoil nitrogen, decomposition rates, soil invertebrate feeding, tree regeneration & vegetation structure) in woodland creation sites and unforested and mature forest areas in the Scottish Highland…","state":"published","title":"Soil and vegetation ecological function data in native reforestation, unforested and mature forest plots in the Scottish Highlands, 2018","version":1.0,"view":["public","jualob"]},{"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","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Tilbury","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.","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.","Tilbury, C.","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.","C. "],"authorOrcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0003-2428-272X","https://orcid.org/0000-0002-4180-9338"],"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":"Spittle Bug data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by quadrat sampling at all of ECN's terrestrial sites using a standard protocol . They represent continuous annual records from 1993 to 2015. Spittle Bug adults (Philaenus spumarius) are sampled and separated by sex and by colour morph; it is likely that the proportions of morphs are environmentally determined and will therefore be good indicators of environmental change. Spittle bug nymphs are counted and the mean number of nymphs per spittle recorded. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. 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","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Tilbury","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.","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.","Tilbury, C.","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.","C. "],"identifier":"aff433be-0869-4393-b765-9e6faad2a12b","incomingCitationCount":4,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Philaenus spumarius"],"keywordsOther":["Philaenus spumarius"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"licence":"Open government licence","lineage":"Data are collected by quadrat sampling at all of ECN's terrestrial sites using a standard protocol. 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":"2026-06-29T18:26:46.000Z","orcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0003-2428-272X","https://orcid.org/0000-0002-4180-9338"],"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","Environmental Change Network","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2018-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aff433be-0869-4393-b765-9e6faad2a12b","10.5285/aff433be-0869-4393-b765-9e6faad2a12b","doi:10.5285/aff433be-0869-4393-b765-9e6faad2a12b"],"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":"Spittle Bug data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by quadrat sampling at all of ECN's terrestrial sites using a standard protocol . They represent continuous annual records from 1993 to 2015. Spittle Bug adults…","state":"published","supplementalName":["ECN website"],"title":"UK Environmental Change Network (ECN) spittle bug data: 1993-2015","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Hill"],"authorFullName":["Hill, T.C."],"authorGivenName":["T.C."],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. \n\nData collection was carried out at six intertidal sites in the winter and summer of 2013. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. A single NDVI observation was taken at each quadrat.\n\nSpectral reflectance was measured using a portable spectrometer.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hill"],"fullName":["Hill, T.","Hill, T.C."],"funder":["Natural Environment Research Council"],"givenName":["Tim","T.C."],"grant":["NE/J015644/1"],"identifier":"75b1f669-66b3-472b-9d31-eda908826e17","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","NDVI","mudflat","spectral reflectance","salt marsh","vegetation"],"keywordsOther":["NDVI","mudflat","spectral reflectance","salt marsh","vegetation"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty-two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). These quadrats are common to all CBESS quadrat data. NDVI measurements were obtained before any destructive harvesting of the quadrats. \n\nAn OceanOptics USB2000 spectrometer with a 1.5 m fibre optic was used in all measurements. OOIBase32 Version 2.0.1.3 was used to log data on a laptop. Reflectance measurements were taken at 1.5 m above the ground surface. At each quadrat: 1) the integration time of the spectrometer was adjusted such that the peak of the white reference spectra was approx 75% of the spectrometers maximum level; 2) for short integration times (<100 ms) spectral averaging was used to reduce measurement noise; 3) a dark measurement was recorded; 4) a white reference measurement was recorded; and 5) the reflectance measurement was made. A note is made of the number of the OOBase files associated with the quadrat number and percentage cloud and water cover of the quadrat and any other relevant information are taken. NDVI is calculated in Matlab.","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-06-29T16:36:20.000Z","organisation":["University of Exeter","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75b1f669-66b3-472b-9d31-eda908826e17","10.5285/75b1f669-66b3-472b-9d31-eda908826e17","doi:10.5285/75b1f669-66b3-472b-9d31-eda908826e17"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. \n\nData collection was carried out at six intertidal sites in the winter and summer…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) Normalised Difference Vegetation Index (NDVI) in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["ECRC-UCL Geography","Teesside University"],"authorFamilyName":["Turner","Yang","Rose","Shilland","Bennion","Jones","Sayer","Baker"],"authorFullName":["Turner, S.D.","Yang, H.","Rose, N.L.","Shilland, J.","Bennion, H.","Jones, V.","Sayer, C.","Baker, A."],"authorGivenName":["S.D.","H.","N.L.","J.","V.","C.","A."],"authorOrcid":["https://orcid.org/0000-0001-8692-8210","https://orcid.org/0000-0001-5760-5789","https://orcid.org/0000-0002-5697-7334","https://orcid.org/0000-0003-0125-9308","https://orcid.org/0000-0003-1927-1639","https://orcid.org/0000-0001-6075-4881","https://orcid.org/0000-0001-7196-1405"],"authorRor":["https://ror.org/02jx3x895","https://ror.org/03z28gk75"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Measurements of sediment properties (including organic and carbonate content), radionuclides (210Pb, 137Cs, 241Am) and elements (including mercury, nickel, copper, zinc, and lead) in lake sediment successions. Radionuclide dating provides a reliable chronology of sediment ages from the mid-19th century (sometimes only 20th century) to the present (2016). The dataset comprises a standardised matrix of multiple measured sediment variables (element values per mass) against stratigraphic depth for 8 lakes. In some water bodies multiple core datasets exist. ","documentType":"GEMINI_DOCUMENT","familyName":["Turner","Yang","Rose","Shilland","Bennion","Jones","Sayer","Baker"],"fullName":["Turner, S.D.","Yang, H.","Rose, N.L.","Shilland, J.","Bennion, H.","Jones, V.","Sayer, C.","Baker, A."],"funder":["Natural Environment Research Council"],"givenName":["S.D.","H.","N.L.","J.","V.","C.","A.","S.D. "],"grant":["NE/N006437/1"],"identifier":"4b4a2388-fea2-48e8-8d61-4b93ada479bb","incomingCitationCount":0,"keyword":["Pollution","Lake sediment","geochemistry","lead-210","trace metals","loch sediment","trace element","mercury","sediment","lead","radionuclide","nickel","copper","zinc"],"keywordsOther":["Lake sediment","geochemistry","lead-210","trace metals","loch sediment","trace element","mercury","sediment","lead","radionuclide","nickel","copper","zinc"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Sediment cores were collected by boat and coring equipment in 2016. Cores were subsampled (sliced) on-site and processed on return to laboratory. Multiple samples from separate core depth intervals were measured. Samples of sediment intervals were measured for water content, organic content and carbonate content by heating and combustion (loss-on-ignition). Concentrations of elements were measured on freeze-dried, milled samples of sediment by X-Ray Fluorescence (XRF) spectroscopy using an Energy dispersive XRF (Bruker Ltd) with standard reference sediments prepared and run with the core samples. 210Pb dating and other radionuclides were measured on subsamples from core intervals by gamma spectroscopy at the UCL Environmental Radiometric Facility. Mercury (total) was measured on subsamples by cold-vapour fluorescence spectroscopy (CV-AFS). Sediment core element concentrations measured by XRF and CV-AFS were measured in machines with laboratory blanks and standard reference sediment samples.","locations":["POLYGON((-4.604 55.77, -4.604 55.936, -4.07 55.936, -4.07 55.77, -4.604 55.77))"],"metadataDate":"2026-06-29T16:21:50.000Z","orcid":["https://orcid.org/0000-0001-8692-8210","https://orcid.org/0000-0001-5760-5789","https://orcid.org/0000-0002-5697-7334","https://orcid.org/0000-0003-0125-9308","https://orcid.org/0000-0003-1927-1639","https://orcid.org/0000-0001-6075-4881","https://orcid.org/0000-0001-7196-1405"],"organisation":["ECRC-UCL Geography","Teesside University","NERC EDS Environmental Information Data Centre","University College London"],"publicationDate":"2021-09-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b4a2388-fea2-48e8-8d61-4b93ada479bb","10.5285/4b4a2388-fea2-48e8-8d61-4b93ada479bb","doi:10.5285/4b4a2388-fea2-48e8-8d61-4b93ada479bb"],"resourceType":"Dataset","rightsHolder":["University College London"],"ror":["https://ror.org/02jx3x895","https://ror.org/03z28gk75","https://ror.org/04xw4m193"],"shortenedDescription":"Measurements of sediment properties (including organic and carbonate content), radionuclides (210Pb, 137Cs, 241Am) and elements (including mercury, nickel, copper, zinc, and lead) in lake sediment successions. Radionuclide dating provides a reliable chronology of sediment…","state":"published","title":"210Pb-dated historical lake sediment metal concentrations from Greater Glasgow, Scotland (mid-19th century to 2016)","topic":["0/Pollution/"],"version":1.0,"view":["public","margla"]},{"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":["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"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (rescaled 0 to 100). Low values correspond to low certainty (higher uncertainty). A full description of this and all UKCEH LCM2020 products are available from the LCM2020 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"identifier":"78d3824b-2612-4707-ae2e-26f82bdd5dad","incomingCitationCount":1,"keyword":["Great Britain","Biodiversity Action Plan","habitat","map","land cover"],"keywordsOther":["Biodiversity Action Plan","habitat","map","land cover"],"keywordsPlace":["Great Britain"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. 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. Land cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation. This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019. Prior to 2017 classified pixels are not available as part of the UKCEH LCM product suite. The classified pixels represent the core dataset from which the remaining products in the LCM2020 suite are derived. These include LCM2020 classified land parcels and the LCM2020 25m rasterised land parcels product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-30T16:43:05.000Z","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"],"publicationDate":"2022-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78d3824b-2612-4707-ae2e-26f82bdd5dad","10.5285/78d3824b-2612-4707-ae2e-26f82bdd5dad","doi:10.5285/78d3824b-2612-4707-ae2e-26f82bdd5dad"],"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, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land…","state":"published","title":"Land Cover Map 2020 (10m classified pixels, N. Ireland)","version":1.0,"view":["public","matnic"]},{"availability":"Unknown","catalogue":"eidc","description":"A wide range of data has been collected from a variety of freshwater lakes in the English Lake District, ranging from fish characteristics to meteorological data and water chemistry.   These data have been collected over a long period of time, in some cases since 1940 to date.  Some of the the data were initially collected by the Freshwater Biological Association (FBA) at Windermere, but have been collected by the UK Centre for Ecology & Hydrology (UKCEH) and its predecessor Institute of Freshwater Ecology (IFE) since 1989.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr"],"fullName":["Feuchtmayr, H."],"givenName":["H."],"identifier":"bf30d6aa-345a-4771-8417-ffbcf8c08c28","incomingCitationCount":0,"keyword":["England","Lake District","lake","freshwater","fish"],"keywordsOther":["lake","freshwater","fish"],"keywordsPlace":["England","Lake District"],"licence":"Non-Open government licence","lineage":"Some of the the data were initially collected by the Freshwater Biological Association (FBA) at Windermere, but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology (IFE) since 1989.  See individual data sets for further details regarding collection methods.","locations":["POLYGON((-3.531 54.189, -3.531 54.795, -2.696 54.795, -2.696 54.189, -3.531 54.189))"],"metadataDate":"2025-03-21T09:40:44.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-06-19T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf30d6aa-345a-4771-8417-ffbcf8c08c28"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A wide range of data has been collected from a variety of freshwater lakes in the English Lake District, ranging from fish characteristics to meteorological data and water chemistry.   These data have been collected over a long period of time, in some cases since 1940…","state":"published","title":"Long term and high frequency monitoring of lakes in the English Lake District","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Queen Mary University of London"],"authorFamilyName":["Terry","O'Sullivan","Rossberg"],"authorFullName":["Terry, J.C.D.","O'Sullivan, J.D.","Rossberg, A.G."],"authorGivenName":["J.C.D.","J.D.","A.G. "],"authorOrcid":["https://orcid.org/0000-0002-0626-9938","https://orcid.org/0000-0003-2386-6635"],"authorRor":["https://ror.org/026zzn846"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","html","markdown"],"description":"This resource contains the R code and core results of a study seeking to identify whether there are global patterns in whether larger or smaller bodied species are showing different population trends within communities. This used the global BioTIME database (including community time series from hundreds of studies of mostly covering the last 20-50 years) and several large trait databases to gain a very large sample size (12,956 assemblage time series from 144 studies, incorporating 2,109,593 observations of 10,286 species, of which 7,234 could be linked to at least one size trait). \n\nData resources in this deposit include matched trait values for each species, several population trends of each species, and community level correlations between population trends and body-size trait values. Additionally, html files describing the R markdown code to produce the data resources are included. This resource does not contain the raw population and trait data, which are openly available from various sources that are listed in the supporting documentation.\n\nThe matching between global databases required a large amount of initial cleaning and filtering steps. Although the data was subject to a number of checks, with tens of thousands of species, it was too large to check all alignments manually, and trait matches assume a single bodysize value for a species across its range. The original purpose was to generate a relative rank within a community, but caution is needed for more fine-grained analyses using this approach. ","documentType":"GEMINI_DOCUMENT","familyName":["Terry","O'Sullivan","Rossberg"],"fullName":["Terry, J.C.D.","O'Sullivan, J.D.","Rossberg, A.G."],"funder":["Natural Environment Research Council"],"givenName":["J.C.D.","J.D.","A.G. "],"grant":["NE/T003510/1"],"identifier":"1f7687de-d68e-4349-b4d3-b7d3a127a7df","incomingCitationCount":0,"keyword":["Biodiversity","body size","community ecology"],"keywordsOther":["body size","community ecology"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"To generate the assemblage time series, we downloaded all studies available in the ‘open' component of the BioTIME database of community time series from Zenodo. We identified studies as ‘multi-site' or ‘single-site' based on the number of coordinates in the BioTIME database. Single-site studies were considered as one combined assemblage, whilst widely dispersed ‘multi-site' studies were portioned into assemblages based on a global hexagonal grid of 96 km2 cells using the dggridR package in R. We retained records from assemblages with abundance or biomass data of at least 10 distinct species and at least 5 years between the first and last record.\nWe used four separate trait databases that include some measure of organism size, but we did not mix information between databases. For amniotes, an amniote life history database was downloaded. For plants, we used the TRY database. For fish, we downloaded a curated database of fish traits, which in turn is largely based on data from the FishBase database. It is focused on the North Atlantic and Pacific continental shelf, but this represents the majority of the relevant BioTIME studies. For marine species, we downloaded size data from the WoRMS database. \n\nData cleaning was performed in order to match up species names in the trait databases and BioTIME database.\n\nWe assessed each assemblage–trait combination where ≥40% and ≥5 of the species had data for that trait and >80% of year samples contained at least 5 species. We excluded transitory species within each assemblage by including only those species that were seen in over half of the year samples. Where this filtering left data from less than 1% of the cells in the original study, we removed the whole study. Where a study included both ‘abundance' and ‘biomass' data, we preferentially used the abundance data. Studies with only presence–absence data were not used.\nTo calculate the relative change in abundance of each species, we fitted the square-root transformed and scaled species totals as a function of year for each assemblage using ordinary least-squares regression models and calculate the slope β for each species.\n\nThe main response variable τ for each assemblage was then computed as Kendall's rank correlation coefficient between size trait values and the set of βs. Species with missing trait values were excluded from the calculation of τ. Where there were multiple assemblages per study, study-level τ was taken as a simple arithmetic mean of all assemblage-level τ values. We also test two alternative transformations of the population data.\nTo examine study-level determinates of τ within each size trait, for each study we calculated: (1) the mean total species richness of each assemblage over the time frame, (2) the mean assemblage-level trait data completeness, (3) the mean number of years from which there were data, (4) the mean span of years from which there were data, (5) the log10-transformed number of assemblages within the study (that is, the spatial extent), (6) the absolute latitude of the centre of the study and (7) the range of traits in the assemblage (log10(max) − log10(min)). We fitted a set of linear models to assess whether these factors could predict either τ or τ2.\n\nAll analysis used the R language, and scripts are included in the KnittedScripts folder. More information is provided in the supporting information.","metadataDate":"2026-06-27T18:24:46.000Z","orcid":["https://orcid.org/0000-0002-0626-9938","https://orcid.org/0000-0003-2386-6635"],"organisation":["Queen Mary University of London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-01T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1f7687de-d68e-4349-b4d3-b7d3a127a7df","10.5285/1f7687de-d68e-4349-b4d3-b7d3a127a7df","doi:10.5285/1f7687de-d68e-4349-b4d3-b7d3a127a7df"],"resourceType":"Software","rightsHolder":["Queen Mary University of London"],"ror":["https://ror.org/026zzn846","https://ror.org/04xw4m193"],"shortenedDescription":"This resource contains the R code and core results of a study seeking to identify whether there are global patterns in whether larger or smaller bodied species are showing different population trends within communities. This used the global BioTIME database (including…","state":"published","supplementalDescription":["Terry, J.C.D., O'Sullivan, J.D., & Rossberg, A.G.  (2022). No pervasive relationship between species size and local abundance trends. Nat Ecol Evol, 6, 140–144. ","Biotime - bodysize: archived files on Zenodo"],"title":"Code and synthetic data for analysis of relation between species sizes and local abundances trends","topic":["0/Biodiversity/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Botanical Society of Britain and Ireland"],"authorFamilyName":["Walker"],"authorFullName":["Walker, K.J."],"authorGivenName":["K.J."],"authorOrcid":["https://orcid.org/0000-0002-5751-8623"],"authorRor":["https://ror.org/02krbn758"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset gives axiophyte score for plants in Great Britain, based on Botanical Society of Britain and Ireland (BSBI) published lists of axiophytes for 24 counties in Great Britain. Axiophytes have been defined as 'worthy plants', that is, species that are indicative of high quality habitat within a particular region. This information product takes the county lists that were available in May 2016, and summarises the data in order to produce national (i.e. Great Britain) level scores of 'axiophyte-ness'; that is, the extent to which a species has been selected as a good indicator of high quality habitat where it occurs. This meta-list of axiophytes will be updated in the future as more county-level lists become available.\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":["Pescott","Walker"],"fullName":["Pescott, O.","Walker, K.J."],"funder":["Natural Environment Research Council"],"givenName":["Oliver","K.J."],"grant":["NE/R016429/1"],"identifier":"af2ac4af-12c6-4152-8ed7-e886ed19622b","incomingCitationCount":2,"keyword":["Biodiversity","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The data presented here derive from published axiophyte lists developed by vice-county recorders of the Botanical Society of Britain and Ireland (BSBI). These have been processed by the BSBI Head of Science into the data product presented here.","locations":["POLYGON((-8.121 49.637, -8.121 60.861, 2.119 60.861, 2.119 49.637, -8.121 49.637))"],"metadataDate":"2026-06-30T16:34:35.000Z","orcid":["https://orcid.org/0000-0002-5751-8623"],"organisation":["UK Centre for Ecology & Hydrology","Botanical Society of Britain and Ireland","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af2ac4af-12c6-4152-8ed7-e886ed19622b","10.5285/af2ac4af-12c6-4152-8ed7-e886ed19622b","doi:10.5285/af2ac4af-12c6-4152-8ed7-e886ed19622b"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02krbn758","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset gives axiophyte score for plants in Great Britain, based on Botanical Society of Britain and Ireland (BSBI) published lists of axiophytes for 24 counties in Great Britain. Axiophytes have been defined as 'worthy plants', that is, species that are indicative…","state":"published","supplementalName":["Botanical Society of Britain & Ireland website - axiophyte page"],"title":"Vascular plant 'axiophyte' scores for Great Britain, derived from the assessments of the vice-county recorders of the Botanical Society of Britain and Ireland (May 2016)","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:45.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde","doi:10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided…","state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University"],"authorFamilyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"authorFullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"authorGivenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of, standing aboveground biomass,  and belowground biomass measurements, from sites in the Conwy catchment. Standing aboveground biomass was measured at 7 sites and belowground biomass measurements were made at 8 sites. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Standing aboveground biomass (grams of dry mass per metre square) in habitats dominated by herbaceous biomass was measured on 1x1 metre quadrats in four plots per site. Standing aboveground biomass in woodlands was measured in two 200 square metre areas by means of stem cores and litter collections. Belowground total root biomass (grams of dry mass per square metre) was assessed for the topsoil 0-15 centimetres in three plots per site.\n\nMeasurements were undertaken by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\n\nThis data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"fullName":["Smart, S.","Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"funder":["Natural Environment Research Council"],"givenName":["Simon","S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"grant":["NE/J011991/1"],"identifier":"46bb0117-ed5d-4167-a375-d84d1237cf21","incomingCitationCount":2,"keyword":["Conwy catchment","Macronutrient Cycling Project","MCP","Trurf2Surf","Biodiversity","Ecosystem services","plant-soil interaction","atmosphere-biosphere interaction","land use intensification gradient","catchment scale","biotic interactions","biomass"],"keywordsOther":["plant-soil interaction","atmosphere-biosphere interaction","land use intensification gradient","catchment scale","biotic interactions","biomass"],"keywordsPlace":["Conwy catchment"],"keywordsProject":["Macronutrient Cycling Project","MCP","Trurf2Surf"],"keywordsTheme":["Biodiversity","Ecosystem services"],"licence":"Open government licence","lineage":"Measurements were made in plots ranging in size from 200 metres square to 0.5 metres square located using a stratified random sampling design. Standing aboveground plant biomass and root biomass were assessed independently at the sites.\n\nStanding aboveground plant biomass (grams of dry mass per square metre) was measured at 7 sites (blanket bog, bog (Calluna), soligenous mire and flush, acid grassland, broadleaved woodland (n=3), coniferous woodland, improved grassland, semi-improved grassland), with between 3 and 9 replicates per habitat. For the grassy/bog habitats, all herbaceous biomass was cut to 1cm height in 1 x 1 m quadrats, for 4 plots per habitat. The vegetation was dried then weighed in the lab. For woodland habitats, 2 x 200 metre   plots were chosen at random for each site and tree cores collected for each tree and shrub >1.3m in height. Then the following formula was used to calculate above-ground biomass (where DBH = Diameter at Breast Height):\n\nTotal root biomass (grams of dry mass per metre square) was measured at 8 sites (blanket bog, soligenous mire and flush, acid grassland, broadleaved woodland, improved grassland and semi-improved grassland). Topsoil (0-15 cm) soil cores were taken in three locations at each site. Aboveground vegetation was removed. Samples separated into 5 cm intervals and then washed with water to remove any soil or stones. Roots were collected in sieves and placed into an 80 degree oven to remove any water content and enable a calculation of the dry weight of the roots. Total root biomass was calculated as the sum of roots from the three soil intervals. The full details are available in the supporting documentation accompanying this dataset (Turf2Surf_WP2_Supporting_documentation.rtf).\n\n All results were entered into Excel spreadsheets. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"metadataDate":"2026-06-27T19:40:47.000Z","orcid":["https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/46bb0117-ed5d-4167-a375-d84d1237cf21","10.5285/46bb0117-ed5d-4167-a375-d84d1237cf21","doi:10.5285/46bb0117-ed5d-4167-a375-d84d1237cf21"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of, standing aboveground biomass,  and belowground biomass measurements, from sites in the Conwy catchment. Standing aboveground biomass was measured at 7 sites and belowground biomass measurements were made at 8 sites. Data were collected in 2013…","state":"published","supplementalName":["T2S website"],"title":"Plant aboveground and belowground standing biomass measurements in the Conwy catchment in North Wales (2013 and 2014)","topic":["0/Biodiversity/","0/Ecosystem services/"],"version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","description":"A wide range of data have been collected from Loch Leven, a large shallow lake in Scotland, since monitoring began in 1968. These include chemical, biological and physical variables. These data have been collected by the UK Centre for Ecology & Hydrology, including its predecessor bodies, and its collaborative partners.","documentType":"GEMINI_DOCUMENT","identifier":"ac973b0d-2c99-4e00-8931-22aa0881006d","incomingCitationCount":0,"keyword":["Loch leven"],"keywordsOther":["Loch leven"],"licence":"Non-Open government licence","lineage":"Loch leven data collection","locations":["POLYGON((-3.43 56.173, -3.43 56.227, -3.313 56.227, -3.313 56.173, -3.43 56.173))"],"metadataDate":"2025-09-25T11:53:27.000Z","organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac973b0d-2c99-4e00-8931-22aa0881006d"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"A wide range of data have been collected from Loch Leven, a large shallow lake in Scotland, since monitoring began in 1968. These include chemical, biological and physical variables. These data have been collected by the UK Centre for Ecology & Hydrology, including…","state":"published","title":"Long term monitoring data from Loch Leven, Scotland","version":1.0,"view":["public","jualob"]},{"altTitle":["LCM2017"],"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2017 (LCM2017) represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.\n\nThese are one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","identifier":"c70f2c9a-b78c-4302-8577-8fc5499ea0f3","incomingCitationCount":0,"keyword":["Land cover","Mapping"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-03-26T13:42:13.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c70f2c9a-b78c-4302-8577-8fc5499ea0f3"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2017 (LCM2017) represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously…","state":"published","title":"Land Cover Map 2017","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated"],"authorFamilyName":["Stephens","Iwanicka","Storeton-West"],"authorFullName":["Stephens, A.","Iwanicka, A.","Storeton-West, R."],"authorGivenName":["A.","R."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside  and the other is outside in the garden area . The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from November 2018 to January 2021. Samplers are exposed in monthly cycles at the beginning of each month.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Storeton-West"],"fullName":["Stephens, A.","Iwanicka, A.","Storeton-West, R."],"givenName":["A.","R."],"identifier":"bac726a2-a26e-4d97-bf3f-1d530854120f","incomingCitationCount":0,"keyword":["ALPHA sampler","Pollution","ammonia"],"keywordsInstrument":["ALPHA sampler"],"keywordsOther":["ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Local site operator duties are completed by a private individual and analysis and plotting of results is completed by the UK Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month.\nData analysis and preparation is conducted using the AAGA data processing tool.","locations":["POLYGON((-3.635 55.624, -3.635 55.661, -3.521 55.661, -3.521 55.624, -3.635 55.624))"],"metadataDate":"2026-06-27T19:37:22.000Z","organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bac726a2-a26e-4d97-bf3f-1d530854120f","10.5285/bac726a2-a26e-4d97-bf3f-1d530854120f","doi:10.5285/bac726a2-a26e-4d97-bf3f-1d530854120f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside  and the other is outside in the garden area . The garden backs onto grassland which is part of a large…","state":"published","title":"Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire, 2019-2020","topic":["0/Pollution/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["Macaulay Land Use Research Institute","University of Stirling"],"authorFamilyName":["Buckland","Cornish","Ray","Bruneau","Dawson","Ross"],"authorFullName":["Buckland, S.","Cornish, C.","Ray, N.","Bruneau, P.","Dawson, L.","Ross, J."],"authorGivenName":["S.","C.","N.","P.","L.","J."],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes: biomass data for roots, shoots and litter in soil core samples, vegetation species abundance data for sampled soil blocks, and soil profile descriptions (horizon types & depths) with corresponding pH and moisture content values by horizon for soil blocks.  All data were collected during a joint sampling event, held at Sourhope, Scotland, where co-ordinated sampling took place on the 27-28th July 2000 involving groups from within the NERC Soil Biodiversity Programme.  A single block of soil was extracted from each of the sub-plots ('S' 'T' 'U' 'V') from within each of the main-plots (excluding Control 2 plots) at the field experiment site (see supporting information), and various baseline measurements were recorded. The soil blocks were divided up and sub-samples given to groups participating in the co-ordinated sampling, providing a range of information covering various aspects of soil research that can be linked to the same point in time and space.\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)'s farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  During this time, the site was monitored to assess changes in aboveground biomass production (productivity), species composition and relative abundance (diversity). ","documentType":"GEMINI_DOCUMENT","familyName":["Sier","Buckland","Cornish","Ray","Bruneau","Dawson","Ross"],"fullName":["Sier, A.","Buckland, S.","Cornish, C.","Ray, N.","Bruneau, P.","Dawson, L.","Ross, J."],"funder":["Natural Environment Research Council"],"givenName":["Andy","S.","C.","N.","P.","L.","J."],"identifier":"4c0fd1b5-2934-4bd4-b444-1a10499ee900","incomingCitationCount":0,"keyword":["Sourhope","Biodiversity","Soil"],"keywordsPlace":["Sourhope"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute)'s farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). Data were collected by staff employed by MLURI and the University of Stirling and were managed by the Centre for Ecology & Hydrology.  Further details are available in the supporting information.","locations":["POLYGON((-2.237 55.468, -2.237 55.475, -2.222 55.475, -2.222 55.468, -2.237 55.468))"],"metadataDate":"2026-06-29T17:27:32.000Z","organisation":["UK Centre for Ecology & Hydrology","Macaulay Land Use Research Institute","University of Stirling","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4c0fd1b5-2934-4bd4-b444-1a10499ee900","10.5285/4c0fd1b5-2934-4bd4-b444-1a10499ee900","doi:10.5285/4c0fd1b5-2934-4bd4-b444-1a10499ee900"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes: biomass data for roots, shoots and litter in soil core samples, vegetation species abundance data for sampled soil blocks, and soil profile descriptions (horizon types & depths) with corresponding pH and moisture content values by horizon for…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme ","Usher, M. B., Sier, A. R., Hornung, M., & Millard, P. (2006). Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), 101-113. https://doi.org/10.1016/j.apsoil.2006.03.006"],"supplementalName":["Soil Biodiversity website ","Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme."],"title":"Soil profile descriptions, biomass data and vegetation species from a joint sampling event at Sourhope, Scotland, 2000 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Bath ","7 Lakes Alliance"],"authorFamilyName":["Slavin","Wain"],"authorFullName":["Slavin, E.I.","Wain, D.J."],"authorGivenName":["E.I.","D.J."],"authorOrcid":["https://orcid.org/0000-0001-9400-0703","https://orcid.org/0000-0001-5091-102X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains seven month monitoring of weather conditions at Durleigh Reservoir in Somerset, England, during 2018. A Delta T WS-GP1 weather station was installed approximately 4 m above the surface of the reservoir between 5 April and 5 October 2018. ","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"givenName":["E.I.","D.J.","Emily"],"identifier":"dcfa74ce-6d05-4717-978d-e7cdf9b2039e","incomingCitationCount":0,"keyword":["Durleigh Reservoir","Water quality","Pollution","Environmental survey","weather condition"],"keywordsOther":["weather condition"],"keywordsPlace":["Durleigh Reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"The data available to download consists of air temperature measurements (°C), humidity (%), radiation (W/m2), rainfall (mm), wind speed (m/s), and wind direction (degrees). Air temperatures, radiation, humidity, wind speed and wind direction measurements were all average over 10 minute intervals. Rainfall was sampled every 10 minutes. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-06-29T16:31:40.000Z","orcid":["https://orcid.org/0000-0001-9400-0703","https://orcid.org/0000-0001-5091-102X"],"organisation":["University of Bath ","7 Lakes Alliance","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dcfa74ce-6d05-4717-978d-e7cdf9b2039e","10.5285/dcfa74ce-6d05-4717-978d-e7cdf9b2039e","doi:10.5285/dcfa74ce-6d05-4717-978d-e7cdf9b2039e"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains seven month monitoring of weather conditions at Durleigh Reservoir in Somerset, England, during 2018. A Delta T WS-GP1 weather station was installed approximately 4 m above the surface of the reservoir between 5 April and 5 October 2018. ","state":"published","title":"Weather data from Durleigh Reservoir, 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture"],"authorFamilyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"authorFullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"authorGivenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050.","documentType":"GEMINI_DOCUMENT","familyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"fullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"givenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C.","Nuala"],"identifier":"ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","incomingCitationCount":0,"keyword":["Climate and climate change","Agriculture","Environmental risk","Hydrology","water scarcity","drought"],"keywordsOther":["water scarcity","drought"],"keywordsTheme":["Climate and climate change","Agriculture","Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1and 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from five different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading).\n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.\n\nData used in this study was collected from several sources and cited in the supporting documentation.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T20:08:17.000Z","orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-11-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","doi:10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current…","state":"published","title":"The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble","topic":["0/Climate and climate change/","0/Agriculture/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Essex","Independent Researcher"],"authorFamilyName":["Baker","Geider","Davey","Siegel","Radford"],"authorFullName":["Baker, K.G.","Geider, R.J.","Davey, P.A.","Siegel, P.","Radford, D.T."],"authorGivenName":["K.G.","R.J.","P.A.","P. ","D.T. "],"authorOrcid":["https://orcid.org/0000-0003-3008-2513","https://orcid.org/0000-0003-3276-047X","https://orcid.org/0000-0002-1755-083X","https://orcid.org/0000-0003-0233-7064"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise the physiology-based measurements made on the cyanobacteria Synechocystis sp. and Synechococcus sp., the pennate diatom Phaeodactylum tricornutum, and the coccolithophore Emiliana huxleyi. A variety of experimental manipulations were carried out in order to investigate the mechanisms underlying thermally-induced physiological responses and various physiological traits were characterised.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Geider","Davey","Siegel","Radford"],"fullName":["Baker, K.","Baker, K.G.","Geider, R.J.","Davey, P.A.","Siegel, P.","Radford, D.T."],"funder":["Natural Environment Research Council"],"givenName":["Kirralee","K.G.","R.J.","P.A.","P. ","D.T. "],"grant":["NE/P002374/1"],"identifier":"b02524b3-e755-41f7-9bc6-ba389b16db47","incomingCitationCount":0,"keyword":["Phaeodactylum tricornutum","Synechococcus sp.","Synechocystis sp.","cyanobacteria","thermal stress","experimental manipulation","elemental composition","biochemical composition","diatom","heat stress","photosynthesis","physiology","phytoplankton"],"keywordsOther":["Phaeodactylum tricornutum","Synechococcus sp.","Synechocystis sp.","cyanobacteria","thermal stress","experimental manipulation","elemental composition","biochemical composition","diatom","heat stress","photosynthesis","physiology","phytoplankton"],"licence":"Open government licence","lineage":"The data were generated in the laboratories at the School of Life Science (Colchester Campus), University of Essex, U.K. A visual inspection of the data was carried out on all analyses to ensure (i) values were within instrument ranges, (ii) mistakes have not been made in units, dilutions, calculations or dates, and (iii) transcription errors are corrected.","metadataDate":"2026-06-29T16:03:53.000Z","orcid":["https://orcid.org/0000-0003-3008-2513","https://orcid.org/0000-0003-3276-047X","https://orcid.org/0000-0002-1755-083X","https://orcid.org/0000-0003-0233-7064"],"organisation":["University of Essex","Independent Researcher","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b02524b3-e755-41f7-9bc6-ba389b16db47","10.5285/b02524b3-e755-41f7-9bc6-ba389b16db47","doi:10.5285/b02524b3-e755-41f7-9bc6-ba389b16db47"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise the physiology-based measurements made on the cyanobacteria Synechocystis sp. and Synechococcus sp., the pennate diatom Phaeodactylum tricornutum, and the coccolithophore Emiliana huxleyi. A variety of experimental manipulations were carried out…","state":"published","title":"Physiological responses of marine phytoplankton to acute and chronic thermal stress","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Taylor","Reader"],"authorFullName":["Taylor, C.","Reader, T."],"authorGivenName":["C.","T."],"authorOrcid":["https://orcid.org/0000-0003-4299-7104","https://orcid.org/0000-0001-7586-8814"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Polygon file format (ply)","Object file format (obj)","Material Template Library format (mtl)","jpg"],"description":"This dataset includes 3D colour images from scanned insect (Diptera and Hymenoptera) specimens, as well as some modified intermediate images which combine traits from two different specimens. The intermediate versions are in a format suitable for 3D printing.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Reader"],"fullName":["Taylor, C.","Reader, T."],"funder":["Natural Environment Research Council"],"givenName":["C.","T."],"grant":["NE/S000623/1"],"identifier":"05169766-7355-4c3c-8ade-091db0583f9d","incomingCitationCount":0,"keyword":["United Kingdom","Animal behaviour","Biodiversity","Hymenoptera","Diptera","insect","photogrammetry","3D printing"],"keywordsOther":["Hymenoptera","Diptera","insect","photogrammetry","3D printing"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Animal behaviour","Biodiversity"],"licence":"Open government licence","lineage":"Insect specimens were collected between June 2020 and August 2021 from various locations in England using a hand net. Specimens were euthanized and 3D digital images of the insect specimens were obtained via photogrammetry. A 3D shape file (“mesh”) was built from a set of 36 photographs using the software 3DSOM. This produced the \"raw reconstructions\" which are provided in the form of .obj files with associated .jpg textures.\nUsing the images obtained from photogrammetry as starting points, we constructed digital “transects” of similarity between pairs of real insects through 3D morphological space. We defined axes of phenotypic variation along which the traits of shape, colour, pattern, and size varied smoothly from one image to the other, and generated novel phenotypes by picking either intermediate or extrapolated points along those axes. The resulting 3D meshes are the \"modified intermediate images\" which are provided as .ply files.\n","metadataDate":"2026-06-29T17:07:38.000Z","orcid":["https://orcid.org/0000-0003-4299-7104","https://orcid.org/0000-0001-7586-8814"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/05169766-7355-4c3c-8ade-091db0583f9d","10.5285/05169766-7355-4c3c-8ade-091db0583f9d","doi:10.5285/05169766-7355-4c3c-8ade-091db0583f9d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes 3D colour images from scanned insect (Diptera and Hymenoptera) specimens, as well as some modified intermediate images which combine traits from two different specimens. The intermediate versions are in a format suitable for 3D printing.","state":"published","title":"Scanned 3D images and 3D printable images based on combinations of features of Diptera and Hymenoptera collected from the UK in 2021-22","topic":["0/Animal behaviour/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"authorFullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"authorGivenName":["R.","F.","P.","G.","B."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains operational taxonomic units for epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"fullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"givenName":["R.","F.","P.","G.","B."],"identifier":"16649ff0-af24-41b0-bcb4-15e610dac170","incomingCitationCount":0,"keyword":["Biodiversity","genetic information","microbiology","genetics","Tellus","South West project"],"keywordsOther":["genetic information","microbiology","genetics","Tellus","South West project"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T17:11:03.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395928899368","CEH:EIDC::1395928899368","https://catalogue.ceh.ac.uk/id/16649ff0-af24-41b0-bcb4-15e610dac170","10.5285/16649ff0-af24-41b0-bcb4-15e610dac170","doi:10.5285/16649ff0-af24-41b0-bcb4-15e610dac170"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains operational taxonomic units for epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field,…","state":"published","title":"Operational taxonomic units for epilithon bacteria in the rivers Wolf and Tamar catchments","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jone"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=2"}