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of Nottingham","Ritsumeikan University"],"authorFamilyName":["Rex","Staff","Leng","Toney","Pearson","Tyler","Swann","Lacey","Nakagawa"],"authorFullName":["Rex, C.L.","Staff, R.A.","Leng, M.J.","Toney, J.L.","Pearson, E.J.","Tyler, J.J.","Swann, G.E.A.","Lacey, J.H.","Nakagawa, T."],"authorGivenName":["C.L.","R.A.","M.J.","J.L.","E.J.","J.J.","G.E.A.","J.H.","T."],"authorOrcid":["0000-0003-2068-4836","0000-0002-8634-014X","0000-0003-1115-5166","0000-0003-3182-6887","0000-0002-5990-1343","0000-0001-8046-0215","0000-0002-4750-9504","0000-0002-6329-2149","0000-0003-0831-6803"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the stable oxygen isotope composition (δ18O) of bulk diatom silica, and the compound-specific stable hydrogen isotope composition (δ2H) of n-alkanoic acids with different chain lengths. Samples originated from the Lake Suigetsu sediment cores. Data is provided on an approximately centennial (100-year) resolution from 22,040 cal BP to 9,980 cal BP (n = 120). To accompany this data, the mass-normalised total lipid extract and n-alkanoic acid concentrations of key chain length n-alkanoic acids are provided. This data was collected to infer changes to the East Asian Winter Monsoon and East Asian Summer Monsoon during Glacial Termination I. \n\nThis work was supported by the National Environmental Isotope Facility (grant number 2308.0920) and the NERC IAPETUS2 Doctoral Training Partnership.","documentType":"GEMINI_DOCUMENT","familyName":["Rex","Staff","Leng","Toney","Pearson","Tyler","Swann","Lacey","Nakagawa"],"fullName":["Rex, C.L.","Staff, R.A.","Leng, M.J.","Toney, J.L.","Pearson, E.J.","Tyler, J.J.","Swann, G.E.A.","Lacey, J.H.","Nakagawa, T.","Rex, C."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","R.A.","M.J.","J.L.","E.J.","J.J.","G.E.A.","J.H.","T.","Charlie"],"identifier":"aaf7d914-7208-41ea-89a6-128048bd99f2","incomingCitationCount":0,"keyword":["Stable isotopes","N-alkanoic acid","Sediment core","East Asian Monsoon","Lake Suigetsu","diatom","biomarker","sediment"],"keywordsOther":["Stable isotopes","N-alkanoic acid","Sediment core","East Asian Monsoon","Lake Suigetsu","diatom","biomarker","sediment"],"licence":"Open government licence","lineage":"Materials for this study were taken from the Lake Suigetsu sediment cores and split into two – one half designated for stable oxygen isotope analysis (δ18O) of bulk diatom silica and the other half for compound-specific stable hydrogen isotope analysis (δ2H) of the C16, C18, C28 and C30 n-alkanoic acids. Each set of samples underwent chemical preparation to isolate the components required following standard preparation methodologies. Bulk diatom silica oxygen isotopes were measured using stepwise fluorination followed by GC-IRMS analysis. This data was then corrected for residual contamination using a mass balance approach. Compound-specific n-alkanoic acid hydrogen isotopes were measured using a GC-IRMS connected via a furnace. This data was corrected for methylation using a similar mass balance approach.","locations":["POLYGON((135.804 35.513, 135.804 35.648, 136.002 35.648, 136.002 35.513, 135.804 35.513))"],"metadataDate":"2026-11-05T13:32:30.000Z","orcid":["0000-0003-2068-4836","0000-0002-8634-014X","0000-0003-1115-5166","0000-0003-3182-6887","0000-0002-5990-1343","0000-0001-8046-0215","0000-0002-4750-9504","0000-0002-6329-2149","0000-0003-0831-6803"],"organisation":["University of Glasgow","British Geological Survey","Newcastle University","University of Adelaide","University of Nottingham","Ritsumeikan University","NERC EDS Environmental Information Data Centre","Rex, C.L."],"publicationDate":"2023-06-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aaf7d914-7208-41ea-89a6-128048bd99f2","10.5285/aaf7d914-7208-41ea-89a6-128048bd99f2","doi:10.5285/aaf7d914-7208-41ea-89a6-128048bd99f2"],"resourceType":"Dataset","rightsHolder":["Rex, C.L."],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the stable oxygen isotope composition (δ18O) of bulk diatom silica, and the compound-specific stable hydrogen isotope composition (δ2H) of n-alkanoic acids with different chain lengths. Samples originated from the Lake Suigetsu…","state":"published","title":"Diatom silica oxygen isotope and n-alkanoic acid hydrogen isotope composition of sediments from Lake Suigetsu, Japan (22,000 to 10,000 cal BP)","version":1.0,"view":["public","clwe"]},{"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. 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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. 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Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols.  \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:24:48.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","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","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"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"],"temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) spittle bug data: 1993-2015","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robinson","Kay","Brown","Lane","Bell","Blyth"],"authorFullName":["Robinson, E.L.","Kay, A.L.","Brown, M.J.","Lane, R.A.","Bell, V.A.","Blyth, E.M."],"authorGivenName":["E.L.","A.L.","M.J.","R.A.","V.A.","E.M."],"authorOrcid":["0000-0002-3746-4517","0000-0002-5526-1756","0000-0003-1127-0279","0000-0003-4176-9214","0000-0002-0792-5650","0000-0002-5052-238X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables were calculated from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] gridded observed meteorological data at 1 km resolution.  The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded NetCDF files. There is one file for each variable, for each calendar month.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Kay","Brown","Lane","Bell","Blyth"],"fullName":["Robinson, E.L.","Kay, A.L.","Brown, M.J.","Lane, R.A.","Bell, V.A.","Blyth, E.M.","Robinson, E."],"funder":["Natural Environment Research Council"],"givenName":["E.L.","A.L.","M.J.","R.A.","V.A.","E.M.","Emma"],"grant":["NE/S017380/1"],"identifier":"bcec9c33-f863-464e-ac28-73b981bd40a4","incomingCitationCount":0,"keyword":["Climate Hydrology and Ecology Research Support System (CHESS)","Hydrology","hydrology","modelling","evapotranspiration","evaporation","potential evaporation","potential evaptranspiration"],"keywordsOther":["hydrology","modelling","evapotranspiration","evaporation","potential evaporation","potential evaptranspiration"],"keywordsProject":["Climate Hydrology and Ecology Research Support System (CHESS)"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"This dataset was derived from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] at 1 km resolution over the United Kingdom for the years 1961-2019. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. \n\nThe CHESS-met meteorological variables used were daily mean air temperature at 1.2 m (K), specific humidity at 1.2 m(kg kg-1), surface air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), monthly mean wind speed at 10 m (m s-1) and precipitation (kg m-2 s-1). A description of the methodology is available in the supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T13:32:44.000Z","orcid":["0000-0002-3746-4517","0000-0002-5526-1756","0000-0003-1127-0279","0000-0003-4176-9214","0000-0002-0792-5650","0000-0002-5052-238X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bcec9c33-f863-464e-ac28-73b981bd40a4","10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4","doi:10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables…","state":"published","temporalExtentText":"Data collected from 1961 to 2019","title":"Potential evapotranspiration derived from Climate Hydrology and Ecology Research Support System meteorological gridded climate observations (Hydro-PE CHESS), 1961-2019","topic":["0/Hydrology/"],"version":1.0,"view":["public","jenroe"]},{"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":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and annual minima of seven-day mean river flow (years spanning Dec-Nov), along with the date of occurrence (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable and ensemble member.\n\nTo aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid.\n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment 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.","Kay, A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Alison"],"grant":["NE/R016429/1"],"identifier":"18be3704-0a6d-4917-aa2e-bf38927321c5","incomingCitationCount":1,"keyword":["UK-SCAPE","Modelling","Climate and climate change","Hydrology","River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsOther":["River flow","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Climate and climate change","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.org10.1016/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 - https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604) . The projections comprise a twelve-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 derived from other meteorological variables (using the Penman-Monteith scheme). See the documentation accompanying the data for more details.","locations":["POLYGON((-8.903 49.771, -8.903 58.883, 3.181 58.883, 3.181 49.771, -8.903 49.771))"],"metadataDate":"2026-11-05T13:15:36.000Z","orcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18be3704-0a6d-4917-aa2e-bf38927321c5","10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5","doi:10.5285/18be3704-0a6d-4917-aa2e-bf38927321c5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1 km grid over Great Britain for the period Dec 1980 - Nov 2080. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct to Sept), along with the date of occurrence, and…","state":"published","temporalExtentText":"Data collected from 1980 to 2080","title":"Grid-to-Grid model estimates of river flow for Great Britain driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080) v2","topic":["0/Modelling/","0/Climate and climate change/","0/Hydrology/"],"version":2.0,"view":["public","dgwr"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Warburton"],"authorFullName":["Warburton, J."],"authorGivenName":["J."],"authorOrcid":["0000-0003-3589-9039"],"authorRor":["https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a single orthophoto mosaic image of Irontongue Hill on Swineshaw Moor. The area of interest includes seven erosion plots (approximately 5 x 5 m) which were set up on 26/07/2018 to capture the state of the burnt moorland surface and monitor subsequent erosion and vegetation recovery. The area of interest is approximately 0.45 km2.","documentType":"GEMINI_DOCUMENT","familyName":["Warburton"],"fullName":["Warburton, J."],"funder":["Natural Environment Research Council"],"givenName":["J.","Jeff"],"grant":["NE/S011560/1"],"identifier":"aff5210d-27e9-4655-badb-4d16c3adeb17","incomingCitationCount":0,"keyword":["Hilldcope","Wildfire","Orthophoto mosaic","mosaic","erosion"],"keywordsOther":["Hilldcope","Wildfire","Orthophoto mosaic","mosaic","erosion"],"licence":"Open government licence","lineage":"The orthophoto mosaic was generated from 786 separate image files captured using a DJI Mavic 2 Pro Drone on 29th July 2019. A dense SfM point cloud was generated in Agisoft Metashape. Ground Control Point coordinates were used to scale and georeference the point clouds based upon the dGPS coordinates. The DEM dense point cloud and orthomosaic were exported to ARcGIS and projected in OSGB co-ordinates and resampled at 5 x 5 cm ground resolution before being resaved as a final .tif file.","locations":["POLYGON((-1.592 53.29, -1.592 53.3, -1.582 53.3, -1.582 53.29, -1.592 53.29))"],"metadataDate":"2026-11-05T13:35:11.000Z","orcid":["0000-0003-3589-9039"],"organisation":["Durham University","NERC EDS Environmental Information Data Centre","University of Liverpool","University of Leeds"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aff5210d-27e9-4655-badb-4d16c3adeb17","10.5285/aff5210d-27e9-4655-badb-4d16c3adeb17","doi:10.5285/aff5210d-27e9-4655-badb-4d16c3adeb17"],"resourceType":"Dataset","rightsHolder":["Durham University","University of Liverpool","University of Leeds"],"ror":["https://ror.org/01v29qb04","https://ror.org/04xw4m193","https://ror.org/04xs57h96","https://ror.org/024mrxd33"],"shortenedDescription":"This dataset consists of a single orthophoto mosaic image of Irontongue Hill on Swineshaw Moor. The area of interest includes seven erosion plots (approximately 5 x 5 m) which were set up on 26/07/2018 to capture the state of the burnt moorland surface and monitor subsequent…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Orthomosaic aerial imaging from the Irontongue Hill erosion study site, Swineshaw Moor, UK, July 2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","Centre for Ecology & Hydrology"],"authorFamilyName":["Shaw","Bullock","Osborne"],"authorFullName":["Shaw, R.F.","Bullock, J.M.","Osborne, J.L."],"authorGivenName":["R.F.","J.M.","J.L."],"authorOrcid":["0000-0001-5179-964X","0000-0003-0529-4020","0000-0002-9937-172X"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Yield data on winter sown oilseed rape plants, in relation to pollination by insects and in relation to the ecosystem services provided by beneficial insects. Data includes yield assessed for entire field, whole plant and within different parts of the plant (per raceme and per pod). These data can be linked to the related natural enemy data set and the pollinator data set collected as part of the Wessex BESS project, funded by the NERC Biodiversity and Ecosystem Service Sustainability research program.","documentType":"GEMINI_DOCUMENT","familyName":["Shaw","Bullock","Osborne"],"fullName":["Shaw, R.F.","Bullock, J.M.","Osborne, J.L."],"funder":["Natural Environment Research Council"],"givenName":["R.F.","J.M.","J.L."],"grant":["NE/J014680/1"],"identifier":"fc219733-a8e8-4ec0-a34e-e0e8115f0d68","incomingCitationCount":1,"keyword":["Wessex BESS","BESS","Pollinators","Ecosystem services","Brassica napus"],"keywordsOther":["Brassica napus"],"keywordsProject":["Wessex BESS","BESS"],"keywordsTheme":["Pollinators","Ecosystem services"],"licence":"Open government licence","lineage":"All people carrying out laboratory analysis were trained by and followed a set protocol in raceme and pod collection. A specific form was used for recording data in the lab and data were entered in MS Access database to prevent duplicates. The data were checked for anomalous entries.","locations":["POLYGON((-2.212 51.154, -2.212 51.329, -1.573 51.329, -1.573 51.154, -2.212 51.154))"],"metadataDate":"2026-11-05T13:30:50.000Z","orcid":["0000-0001-5179-964X","0000-0003-0529-4020","0000-0002-9937-172X"],"organisation":["University of Exeter","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc219733-a8e8-4ec0-a34e-e0e8115f0d68","10.5285/fc219733-a8e8-4ec0-a34e-e0e8115f0d68","doi:10.5285/fc219733-a8e8-4ec0-a34e-e0e8115f0d68"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Yield data on winter sown oilseed rape plants, in relation to pollination by insects and in relation to the ecosystem services provided by beneficial insects. Data includes yield assessed for entire field, whole plant and within different parts of the plant (per raceme…","state":"published","supplementalDescription":["Garratt, M. P. D., Bishop, J., Degani, E., Potts, S. G., Shaw, R. F., Shi, A., & Roy, S. (2018). Insect pollination as an agronomic input: Strategies for oilseed rape production. Journal of Applied Ecology."],"temporalExtentText":"Data collected from 2013 to 2015","title":"Yield of winter-sown oilseed rape plants in relation to insect pollination","topic":["0/Pollinators/","0/Ecosystem services/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation"],"authorFamilyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"authorGivenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"authorOrcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-4869-8052","0000-0002-5147-0331","0000-0002-7175-5393"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016.\n\nData acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).  The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200.  The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"fullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R.","Harrower, C."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R.","C."],"grant":["NE/N018125/1","BBS/E/C/000J0200"],"identifier":"0a7d65e8-8bc8-46e5-ab72-ee64ed851583","incomingCitationCount":3,"keyword":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE","Biodiversity","Environmental survey"],"keywordsProject":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The Rothamsted light-trap network is a network of standardised light-traps that are operated throughout the year by volunteers. Using standardised traps means that the data from different sites and/or times are directly comparable. Although for the majority of species the time period of the data used in the analysis was 1968-2016, there was a handful of species of species where the time period had to be modified due taxonomic or data issues. For example the time period used for many pug species in the analysis was 1986 onwards due to inconsistency in the identification of these species in earlier years through a lack of suitable identification resources such as field guides. A few other species had initial years excluded due to data issues in those earlier years.\n\nThe GAI methodology is a two-step statistical method designed to analyse count data for taxa showing seasonal patterns in abundance, such as Butterflies and Moths. The first step uses statistical models, in this case generalised additive models (GAMs) with a smoothing spline, to estimate annual flight curves for each species.  The second stage takes these annual flight curves and uses them to correct for seasonal gaps in recording, producing estimated annual abundance indices for each site (site indices), to which a Poisson general linear model (GLM) is fitted allowing to the year and sites effects upon the site. The year coefficient from these GLMs are one of the measures of the temporal abundance trend presented in this data. In addition to the coefficient itself two additional metrics of temporal trend were estimated and are presented here, specifically the Annual Growth Rate (AGR) and the total percentage change over the time series for each species. Confidence intervals on the trend metrics were determined by bootstrapping (1000 replicates).","locations":["POLYGON((-10.669 49.864, -10.669 60.861, 1.768 60.861, 1.768 49.864, -10.669 49.864))"],"metadataDate":"2026-11-05T14:29:56.000Z","orcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-4869-8052","0000-0002-5147-0331","0000-0002-7175-5393"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","doi:10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance…","state":"published","supplementalDescription":["The Insect Survey is host to a nationwide network of light-traps and suction-traps that collect invaluable data on the migration of moths and aphids."],"supplementalName":["Rothamsted Research Insect Survey website"],"temporalExtentText":"Data collected from 1968 to 2016","title":"Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016)","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976 to 2013), for the last 20 years, and for the last decade. In addition a trend class, based on slope direction and its significance, and a percentage change for that time period are provided to describe the statistical trends. These trend data are provided for 59 UK butterfly species. Trends across different time series allow us to determine the long and short-term trends for individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of this trend datasets. The collection of the underlying UKBMS data is reliant on a large volunteer community. The UK Butterfly Monitoring Scheme is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). This dataset is updated annually and a more recent version of the UKBMS species trends (2014) is now available.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"15b65cf5-d54a-43ff-9cd9-7483bea36ab3","incomingCitationCount":0,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity"],"keywordsOther":["Biodiversity"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"licence":"Non-Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Collated indices are calculated from UKBMS data using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:10:44.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-10-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1412696414833","CEH:EIDC::1412696414833","https://catalogue.ceh.ac.uk/id/15b65cf5-d54a-43ff-9cd9-7483bea36ab3","10.5285/15b65cf5-d54a-43ff-9cd9-7483bea36ab3","doi:10.5285/15b65cf5-d54a-43ff-9cd9-7483bea36ab3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the UK Butterfly Monitoring Scheme (UKBMS) Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value)…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites."],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2013","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2013","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["NIRAS Group UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow"],"authorFamilyName":["Stolpmann","Balke","Bass","Roberts"],"authorFullName":["Stolpmann, L.","Balke, T.","Bass, A.","Roberts, K."],"authorGivenName":["Lea","Thorsten","Adrian","Kenny"],"authorOrcid":["0000-0003-4251-9532","0000-0001-7733-5069","0000-0003-3982-6582"],"authorRor":["https://ror.org/033n9gh91","https://ror.org/00vtgdb53"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data include sediment grain size, sediment carbon content and carbon stable isotope analysis, collected at Charlotte Harbor Florida (two sites) in August 2022, and in the Mekong Delta, Vietnam (Ca Mau, Kien Giang and Soc Trang) from 24-08-2022 to 09-09-2022. Data were collected to determine if sediment characteristics and sediment to atmosphere CO2 flux at mangrove coastlines is different depending on the erosional or accretional state of the site.","documentType":"GEMINI_DOCUMENT","familyName":["Stolpmann","Balke","Bass","Roberts"],"fullName":["Stolpmann, L.","Balke, T.","Bass, A.","Roberts, K.","Lea Stolpmann"],"funder":["Natural Environment Research Council"],"givenName":["Lea","Thorsten","Adrian","Kenny"],"grant":["NE/S008926/1"],"identifier":"086a5b43-7fdb-430a-9202-2eeef4649456","incomingCitationCount":0,"keyword":["Hydrology","Soil","Climate and climate change","Environmental survey","CO2 flux","Mangrove","Florida","Erosion","Soil organic carbon","Grain size","Charlotte Harbor","United States","Mekong Delta","Vietnam"],"keywordsOther":["CO2 flux","Mangrove","Florida","Erosion","Soil organic carbon","Grain size","Charlotte Harbor","United States","Mekong Delta","Vietnam"],"keywordsTheme":["Hydrology","Soil","Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Sediment to atmosphere CO2 flux measured with Licor gas analyser (LI-850) with gas equilibration chamber.\n\nSediment cores were taken with an auger. Sediment was processed for grain size analysis, carbon stable isotope ratio (d13C), carbon content (total, organic, inorganic).  \n\nReplicate measurements were taken at multiple distances away from the vegetation edge.\n\nCalculation of CO2 efflux ((g m-2 hr-1) calculated with polynomial regression, fitted to the initial increase in CO2 concentration)\n\nSediment grain size analysis, carbon content analysis, carbon stable isotope analysis.\nCarbon analysis with Picarro cavity ring-down spectrometer - included blank samples and calibration samples\n\nLinear regression rate (m) calculated with DSAS v5.1","locations":["POLYGON((-82.043 8.471, -82.043 26.978, 130 26.978, 130 8.471, -82.043 8.471))"],"metadataDate":"2026-11-05T13:14:56.000Z","orcid":["0000-0003-4251-9532","0000-0001-7733-5069","0000-0003-3982-6582"],"organisation":["NIRAS Group UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/086a5b43-7fdb-430a-9202-2eeef4649456","10.5285/086a5b43-7fdb-430a-9202-2eeef4649456","doi:10.5285/086a5b43-7fdb-430a-9202-2eeef4649456"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/033n9gh91","https://ror.org/00vtgdb53","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"Data include sediment grain size, sediment carbon content and carbon stable isotope analysis, collected at Charlotte Harbor Florida (two sites) in August 2022, and in the Mekong Delta, Vietnam (Ca Mau, Kien Giang and Soc Trang) from 24-08-2022 to 09-09-2022. Data were…","state":"published","supplementalDescription":["Stolpmann, L. M. M. (2024). Intertidal wetland sediment carbon budgets along eroding and prograding coasts [PhD, University of Glasgow]","An additional riverine carbon dataset is available. This includes dissolved organic and inorganic carbon, particulate organic carbon, total dissolved nitrogen and the stable isotope values of POC and DIC from 23 sites across two monsoon cycles. Data were collected in the pre-monsoon, post-monsoon, and monsoon periods."],"temporalExtentText":"Data collected from 2022 to 2022","title":"Sediment to atmosphere CO2 flux and soil characteristics at geomorphically different mangrove sites in the Mekong Delta, Vietnam, and Charlotte Harbor, Florida, USA, 2022","topic":["0/Hydrology/","0/Soil/","0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"c2d1e87f-1fa8-4421-82a7-df960b4b5821","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Habitat","Map","Biodiversity Action Plan"],"keywordsOther":["Habitat","Map","Biodiversity Action Plan"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-11-05T13:28:41.000Z","orcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2d1e87f-1fa8-4421-82a7-df960b4b5821","10.5285/c2d1e87f-1fa8-4421-82a7-df960b4b5821","doi:10.5285/c2d1e87f-1fa8-4421-82a7-df960b4b5821"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Land Cover Map 2022 (10m classified pixels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Loughborough University","International Centre for Diarrhoeal Disease Research"],"authorFamilyName":["Rousham","Islam","Masud","Unicomb","Alam","Asaduzzaman","Rahman"],"authorFullName":["Rousham, E.K.","Islam, M.A.","Masud, A.","Unicomb, L.","Alam, M.U.","Asaduzzaman, M.","Rahman, M.M."],"authorGivenName":["E.K.","M.A.","A-A.","L.","M.U.","M. ","M.M."],"authorOrcid":["0000-0001-5654-9279"],"authorRor":["https://ror.org/04vg4w365","https://ror.org/04vsvr128"],"availability":"Available","catalogue":"eidc","dataFormat":["Portable Document Format (PDF)"],"description":"The dataset provides qualitative data from anonymised in-depth interviews conducted in 2017 with domestic poultry owners, commercial poultry farm workers and market sellers of live poultry in Bangladesh. The dataset comprises interview transcripts in Bangla. Household and farm interviews were carried out in rural areas of Mirzapur sub-district, Tangail. Interviews with market sellers of poultry were carried out in Dhaka city. An interview guide was used to explore themes and topics relating to poultry-raising practices, hygiene and waste disposal practices relating to poultry and use of antibiotics in poultry. The objective was to understand human behaviours and practices that may contribute to environmental contamination with antibiotic-resistant bacteria from poultry and potential pathways of transmission of antibiotic-resistant bacteria from poultry to humans. \n\nThe research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. ","documentType":"GEMINI_DOCUMENT","familyName":["Rousham","Islam","Masud","Unicomb","Alam","Asaduzzaman","Rahman"],"fullName":["Rousham, E.K.","Islam, M.A.","Masud, A.","Unicomb, L.","Alam, M.U.","Asaduzzaman, M.","Rahman, M.M."],"funder":["Natural Environment Research Council"],"givenName":["E.K.","M.A.","A-A.","L.","M.U.","M. ","M.M."],"grant":["NE/N019555/1"],"identifier":"630759ac-b0ca-4561-8eec-414b47e14829","incomingCitationCount":1,"keyword":["Bangladesh","Dhaka","Mirzapur sub-district","Tangail","In-depth interview","qualitative","antimicrobial resistance","disease transmission","poultry","livestock","waste","hygiene","disease","resistance (biological)"],"keywordsOther":["In-depth interview","qualitative","antimicrobial resistance","disease transmission","poultry","livestock","waste","hygiene","disease","resistance (biological)"],"keywordsPlace":["Bangladesh","Dhaka","Mirzapur sub-district","Tangail"],"licence":"Open government licence","lineage":"Interviews were audio-recorded, downloaded as mp3 files and transcribed and anonymised from the audio-recording to a word file in Bangla. The transcripts were converted from word files to .pdf to preserve the Bengali script","locations":["POLYGON((89.819 23.282, 89.819 24.847, 91.082 24.847, 91.082 23.282, 89.819 23.282))"],"metadataDate":"2026-07-25T06:43:53.000Z","orcid":["0000-0001-5654-9279"],"organisation":["Loughborough University","International Centre for Diarrhoeal Disease Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-10-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/630759ac-b0ca-4561-8eec-414b47e14829","10.5285/630759ac-b0ca-4561-8eec-414b47e14829","doi:10.5285/630759ac-b0ca-4561-8eec-414b47e14829"],"resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04vsvr128","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides qualitative data from anonymised in-depth interviews conducted in 2017 with domestic poultry owners, commercial poultry farm workers and market sellers of live poultry in Bangladesh. The dataset comprises interview transcripts in Bangla. Household…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Interview transcripts in Bangla with poultry owners and poultry workers, Dhaka and rural Tangail district, Bangladesh (2017)","version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"From 2012 to 2016, the Dynamic Drivers of Disease in Africa Consortium undertook a major ESPA-funded programme to advance understanding of the connections between animal-to-human disease transmission and environment in Africa. The Consortium comprised researchers from 21 institutions in Africa, Europe and America.\n\nThis project investigated whether disease regulation as an ecosystem service is affected by changes in biodiversity, climate and land use, with differential impacts on human health and well-being.\nFour diseases were studied, each affected in different ways by ecosystem change, different dependencies on wildlife and livestock hosts, with diverse impacts on people, their health and their livelihoods. The cases were Lassa fever in Sierra Leone, henipaviruses in Ghana, Rift Valley Fever in Kenya and trypanosomiasis in Zambia and Zimbabwe. Data are presented from the work carried out in Kenya and Zambia.\n\nThe Dynamic Drivers of Disease in Africa Consortium is funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme. The ESPA programme is funded by the Department for International Development (DFID), the Economic and Social Research Council (ESRC) and the Natural Environment Research Council.\n\nThe research was funded by NERC project nos NE/J000701/1, NE/J001570/1","documentType":"GEMINI_DOCUMENT","familyName":["Leach"],"fullName":["Leach, M."],"givenName":["M."],"identifier":"3de48cb6-d1c2-446e-a652-57d329849361","incomingCitationCount":0,"keyword":["Dynamic drivers of disease in Africa","DDDAC"],"keywordsProject":["Dynamic drivers of disease in Africa","DDDAC"],"licence":"Non-Open government licence","lineage":"See the lineage statements for individual datasets.","locations":["POLYGON((39.67 -1.53, 39.67 -1.06, 40.05 -1.06, 40.05 -1.53, 39.67 -1.53))","POLYGON((21.711 -18.729, 21.711 -8.014, 33.928 -8.014, 33.928 -18.729, 21.711 -18.729))","POLYGON((38.93 0.64, 38.93 -1.89, 41.14 -1.89, 41.14 0.64, 38.93 0.64))"],"metadataDate":"2026-07-24T20:41:04.000Z","organisation":["University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-17T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3de48cb6-d1c2-446e-a652-57d329849361"],"resourceType":"Aggregation","ror":["https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"From 2012 to 2016, the Dynamic Drivers of Disease in Africa Consortium undertook a major ESPA-funded programme to advance understanding of the connections between animal-to-human disease transmission and environment in Africa. The Consortium comprised researchers from…","state":"published","temporalExtentText":"Data collected from 2012 to 2016","title":"Dynamic drivers of disease in Africa (DDDAC)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)"],"authorFamilyName":["Horan","Keller","Wable","Baron","Houghton-Carr","Rees"],"authorFullName":["Horan, R.","Keller, V.D.J.","Wable, P.S.","Baron, H.E.","Houghton-Carr, H.A.","Rees, H.G."],"authorGivenName":["R.","V.D.J.","P.S.","H.E.","H.A.","H.G."],"authorOrcid":["0000-0002-8304-0272","0000-0003-4489-5363","0000-0003-4685-1524","0000-0003-0070-8247","0000-0003-4465-2169","0000-0003-3300-0472"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0541a3n79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5. A baseline of 1986-2005 is presented along with two future time slices (2041-2060 and 2061-2080) for these variables. The data were produced to help predict how rapid economic development and population growth in the region would impact on future water security. The data resource was produced by the data authors.\n\nThe research was funded by NERC research grant NE/N016491/1 Upscaling Catchment Processes for Sustainable Water Management in Peninsular India","documentType":"GEMINI_DOCUMENT","familyName":["Horan","Keller","Wable","Baron","Houghton-Carr","Rees"],"fullName":["Horan, R.","Keller, V.D.J.","Wable, P.S.","Baron, H.E.","Houghton-Carr, H.A.","Rees, H.G."],"funder":["Natural Environment Research Council"],"givenName":["R.","V.D.J.","P.S.","H.E.","H.A.","H.G.","Robyn"],"grant":["NE/N016491/1"],"identifier":"522309f8-59b1-4982-85df-cb3171c2a062","incomingCitationCount":1,"keyword":["India","Cauvery Basin","Modelling","General Circulation Model ","GSM","Shared Socio-economic Pathway ","SSP","demands","aquifer level","streamflow","aquifer"],"keywordsOther":["General Circulation Model ","GSM","Shared Socio-economic Pathway ","SSP","demands","aquifer level","streamflow","aquifer"],"keywordsPlace":["India","Cauvery Basin"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The model was calibrated at 14 gauging stations across the basin against available observed streamflow using the SIMPLEX auto-calibration routine. This routine utilises four parameters (a surface and groundwater routing parameter, a probability distribution model (PDM) parameter that describes spatial variation in soil moisture capacity and a multiplier to adjust rooting depths). The model was then validated across the same 14 gauging stations (over a different time period to the calibration) and 200 groundwater observational wells.","locations":["POLYGON((72.482 8.635, 72.482 18.948, 83.82 18.948, 83.82 8.635, 72.482 8.635))"],"metadataDate":"2026-09-15T08:45:38.000Z","orcid":["0000-0002-8304-0272","0000-0003-4489-5363","0000-0003-4685-1524","0000-0003-0070-8247","0000-0003-4465-2169","0000-0003-3300-0472"],"organisation":["UK Centre for Ecology & Hydrology","International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/522309f8-59b1-4982-85df-cb3171c2a062","10.5285/522309f8-59b1-4982-85df-cb3171c2a062","doi:10.5285/522309f8-59b1-4982-85df-cb3171c2a062"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0541a3n79","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock, irrigation and industry, across the Cauvery Basin, India. The data were generated using the Global Water Availability Assessment…","state":"published","temporalExtentText":"Data collected from 1986 to 2080","title":"Simulated streamflow, demands and aquifer levels in the Cauvery Basin, India, 1986-2080 using the Global Water Availability Assessment Model (GWAVA) ","topic":["0/Modelling/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Sambrook Smith"],"authorFullName":["Sambrook Smith, G.H."],"authorGivenName":["G.H."],"authorRor":["https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow configurations. Seventeen different experiments were conducted with different boundary conditions for each one. The biofilm was developed on a 30-cm-long section permeable bed, the biofilm-covered section was then placed in the water channel test section for flow experiments.  Flow rate was regulated by a variable frequency drive controlling the pump speed. Data was recorded at four pump frequencies.","documentType":"GEMINI_DOCUMENT","familyName":["Sambrook Smith"],"fullName":["Sambrook Smith, G.H."],"funder":["Natural Environment Research Council"],"givenName":["G.H."],"grant":["NE/K012819/1"],"identifier":"4fecb4cc-e751-4752-9687-09ef92626f63","incomingCitationCount":0,"keyword":["Hydrology","Particle image velocimetry","Turbulence","flow","hydrology"],"keywordsOther":["Particle image velocimetry","Turbulence","flow","hydrology"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The raw Particle Imaging Velocimetry  images were processed in LaVision DaVis 8.2 using a sequential cross-correlation algorithm with a final interrogation window size of 642 pixels with 50% overlap, resulting in a vector field resolution of ~0.44 mm and a vector grid spacing of ~0.22 mm.  ","metadataDate":"2026-07-24T21:22:46.000Z","organisation":["University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4fecb4cc-e751-4752-9687-09ef92626f63","10.5285/4fecb4cc-e751-4752-9687-09ef92626f63","doi:10.5285/4fecb4cc-e751-4752-9687-09ef92626f63"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"These data were collected from a preliminary investigation on the interaction between turbulence and biofilms, using the particle image velocimetry (PIV) technique, which provides spatially- and temporally-resolved velocity vector fields in water for different flow…","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"Experimental data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","kath"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Puissant","Goodall"],"authorFullName":["Griffiths, R.I.","Puissant, J.","Goodall, T.I."],"authorGivenName":["R.I.","J.","T.I."],"authorOrcid":["0000-0002-3341-4547"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Dry soil samples were analysed for a suit of extracellular hydrolytic enzyme activities. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. \n\nThe data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme.\n","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Puissant","Goodall"],"fullName":["Griffiths, R.I.","Puissant, J.","Goodall, T.I."],"funder":["Natural Environment Research Council"],"givenName":["R.I.","J.","T.I."],"grant":["NE/M017125/1"],"identifier":"15026591-f803-4b18-a359-cd69ea0e6069","incomingCitationCount":0,"keyword":["Soil","paired","function","grassland","land use","enzyme"],"keywordsOther":["paired","function","grassland","land use","enzyme"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil samples were collected from 32 grassland sites across the United Kingdom and stored frozen at –20 degrees Celsius prior to subsequent processing for chemical, physical, molecular and functional characteristics. Analysis was carried out for a suit of extracellular hydrolytic enzyme activities were assessed. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. Results were returned from the laboratories compiled into an Excel spreadsheet. The compiled data set was exported as a comma separated value file for deposition into the EIDC.","locations":["POLYGON((-4.828 50.437, -4.828 56.249, 0.797 56.249, 0.797 50.437, -4.828 50.437))"],"metadataDate":"2026-07-24T19:10:29.000Z","orcid":["0000-0002-3341-4547"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/15026591-f803-4b18-a359-cd69ea0e6069","10.5285/15026591-f803-4b18-a359-cd69ea0e6069","doi:10.5285/15026591-f803-4b18-a359-cd69ea0e6069"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project…","state":"published","temporalExtentText":"Data collected from 2015 to 2016","title":"Soil functional measurements (enzymatic activities) across geo linked sampling locations, on grassland, UK (2016)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"altTitle":["FF-HydMod-PPE"],"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Haxton","Crooks","Jackson","Barkwith","Kelvin","Williamson","Mackay","Wang","Davies","Young","Prudhomme"],"authorFullName":["Haxton, T.","Crooks, S.","Jackson, C.R.","Barkwith, A.K.A.P.","Kelvin, J.","Williamson, J.","Mackay, J.D.","Wang, L.","Davies, H.","Young, A.","Prudhomme, C."],"authorGivenName":["T.","S.","C.R.","A.K.A.P.","J.","J.D.","L.","H.","A.","C."],"authorOrcid":["0000-0003-1722-2497"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled climate projection products based on the SRES A1B emission scenario. River Flows data are at a daily time step: Groundwater Levels data are at a monthly time step. Future Flows Hydrology span from 1951 to 2098. The development of Future Flows Hydrology was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Prudhomme","Haxton","Crooks","Jackson","Barkwith","Kelvin","Williamson","Mackay","Wang","Davies","Young"],"fullName":["Prudhomme, C.","Haxton, T.","Crooks, S.","Jackson, C.R.","Barkwith, A.K.A.P.","Kelvin, J.","Williamson, J.","Mackay, J.D.","Wang, L.","Davies, H.","Young, A."],"givenName":["Christel","T.","S.","C.R.","A.K.A.P.","J.","J.D.","L.","H.","A.","C."],"identifier":"f3723162-4fed-4d9d-92c6-dd17412fa37b","incomingCitationCount":10,"keyword":["United Kingdom","Hydrology","water","river flow","groundwater","aquifer"],"keywordsOther":["water","river flow","groundwater","aquifer"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"An 11-member ensemble of daily river flow and monthly groundwater levels for 283 river catchments and 24 boreholes across Great Britain simulated in March 2012. Future Flows Hydrology time series are generated using conceptual hydrological models driven by Future Flows Climate and span the period 1951-2098. Each ensemble set contains 11 members all equally likely that together accounts for climate variability, climate modelling uncertainty and climate forcing under the SRES A1B emissions scenario. As Future Flows Hydrology datasets are driven by forcing from climate model outputs they do not replicate the historical weather but are possible realisations of river flow and groundwater levels time series. Despite the use of bias-corrected Future Flows Climate as input and local hydrological models Future Flows Hydrology dataset might still contain hydrological and climate modelling errors and cannot be compared directly with gauged values. SC090016/PN5, SC090016/PN6, SC090016/PN7 and SC090016/PN9 project technical notes provide details on the methods used and results.","locations":["POLYGON((-10 50, -10 70, 5 70, 5 50, -10 50))"],"metadataDate":"2026-09-15T08:43:57.000Z","orcid":["0000-0003-1722-2497"],"organisation":["Centre for Ecology & Hydrology","British Geological Survey","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331310020640","CEH:EIDC::1331310020640","https://catalogue.ceh.ac.uk/id/f3723162-4fed-4d9d-92c6-dd17412fa37b","10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b","doi:10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled…","state":"published","temporalExtentText":"Data collected from 1951 to 2098","title":"Future flows hydrology data","topic":["0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Brown","Bunce","Carey","Chandler","Clarke","Crowe","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Clarke, R.T.","Crowe, A.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["0000-0002-5651-2828","0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling up to a national level. The data are summarized as change in habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978 by the Centre for Ecology & Hydrology. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Brown","Bunce","Carey","Chandler","Clarke","Crowe","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Brown, M.J.","Bunce, R.G.H.","Carey, P.D.","Chandler, K.","Clarke, R.T.","Crowe, A.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","M.J.","R.G.H.","P.D.","K.","R. T.","A.","M.K.","D.C.","L.C.","M. J.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M.","Claire"],"identifier":"7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","incomingCitationCount":0,"keyword":["Land cover","Broad Habitats","Countryside Survey"],"keywordsOther":["Broad Habitats","Countryside Survey"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1990 and 1998/1999 by surveyors. In the summer of 2007, the data were recorded using electronic data capture devices. Data were recorded from 508 1km squares (1990), 569 1km squares (1998/1999) and 591 1km squares (2007) sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 1990 and 1998/1999 were digitized in 2000. The digitized data were used to generate national estimates of the change in Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:58:20.000Z","orcid":["0000-0002-5651-2828","0000-0003-4006-7755"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-12-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385545417246","CEH:EIDC::1385545417246","https://catalogue.ceh.ac.uk/id/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d","doi:10.5285/7e2981e7-bd4c-4992-b7b0-1b1253bfd20d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of change data for areas of Broad Habitats across Great Britain between 1990 and 1998, between 1990 and 2007, and between 1998 and 2007. The data are national estimates generated by analysing the sample data from up to 591 1km squares and scaling…","state":"published","temporalExtentText":"Data collected from 1990 to 2007","title":"Countryside Survey estimates of Broad Habitat area change in Great Britain between 1990,1998 and 2007","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Glasgow","University College Cork"],"authorFamilyName":["McGhee","Bracken","Dominoni","McCafferty"],"authorFullName":["McGhee, W.A.O.","Bracken, A.M.","Dominoni, D.M.","McCafferty, D.J."],"authorGivenName":["William A.O.","Anna M.","Davide M.","Dominic J."],"authorOrcid":["0009-0004-5558-643X"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/03265fv13"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) identified from camera trap images in 24 open spaces in Glasgow from April to September 2024, along with information describing the detection zone of camera traps and movement speed calculated from video files in a subset of open spaces from June to December 2024. Additionally, a file is present describing the mean number of domestic dogs at each camera for every month along with a file showing set-up and take-down times of each camera at each site. \nData was collected by the GALLANT (Glasgow as a Living Lab Accelerating Novel Transformation) WP2 team as part of a study aiming to validate visual biodiversity surveys performed by the Glasgow City Council.","documentType":"GEMINI_DOCUMENT","familyName":["McGhee","Bracken","Dominoni","McCafferty"],"fullName":["McGhee, W.A.O.","Bracken, A.M.","Dominoni, D.M.","McCafferty, D.J.","William McGhee"],"funder":["Natural Environment Research Council"],"givenName":["William A.O.","Anna M.","Davide M.","Dominic J."],"grant":["NE/W005042/1"],"identifier":"e41601be-1fc7-47ed-85c4-ec00be0c3f93","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","urban ecology","green space"],"keywordsOther":["urban ecology","green space"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Non-Open government licence","lineage":"Data were generated by running images through an AI identification software (\"CameraTrapDetectoR\"), which informed whether images contained a mammal, bird, human, vehicle or was empty. Images which contained a human, vehicle or were empty were removed from further analysis. Remaining images were identified by eye and images of grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) were filtered into the files presented here. \nVideo analysis was done in the field, discarding images not of the three aforementioned species, as well as rabbit (Oryctolagus cunciculus).\nDetection zone calculations were done with assistance from the photo-editing software Canva.\nDomestic dogs were counted for one week, per camera, per month and averaged.","locations":["POLYGON((-4.493 55.758, -4.493 55.948, -3.996 55.948, -3.996 55.758, -4.493 55.758))"],"metadataDate":"2026-11-05T13:45:24.000Z","orcid":["0009-0004-5558-643X"],"organisation":["University of Glasgow","University College Cork","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e41601be-1fc7-47ed-85c4-ec00be0c3f93","10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93","doi:10.5285/e41601be-1fc7-47ed-85c4-ec00be0c3f93"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/03265fv13","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on grey squirrel (Sciurus carolinensis), red fox (Vulpes vulpes) and roe deer (Capreolus capreolus) identified from camera trap images in 24 open spaces in Glasgow from April to September 2024, along with information describing the…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Camera trap monitoring of grey squirrel, red fox and roe deer in Glasgow, 2024","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["South Atlantic Environmental Research Institute","James Hutton Institute","University of York","Lancaster University"],"authorFamilyName":["Broyd","Taylor","Mills","Aguado Saiz","Ostle","Britton"],"authorFullName":["Broyd, R.C.","Taylor, A.F.S.","Mills, R.T.E.","Aguado Saiz, S.","Ostle, N.J.","Britton, A.J."],"authorGivenName":["Rosanne C.","Andy F.S.","Robert T.E.","Sara","Nicholas J.","Andrea J."],"authorOrcid":["0000-0002-0532-0674","0000-0003-0727-8171","0000-0003-3263-3702","0000-0002-0603-7432"],"authorRor":["https://ror.org/004yeqt02","https://ror.org/03rzp5127","https://ror.org/04m01e293","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprise biogeochemical data of Nardus stricta snowbed grassland and Empetrum nigrum heath during a controlled environment drought-rewetting mesocosm experiment. The mesocosms were collected from Allt a'Mharcaidh catchment (3°50′ W, 57°5′ N), in the western Cairngorm mountains, Scotland. Data includes carbon and nitrogen gas and leachate fluxes in the oceanic-alpine ecosystems, and soil and vegetation characteristics of the habitats. The data were collected by The James Hutton Institute and Lancaster Environment Centre in order to determine impacts of drought and rainfall intensity on carbon and nitrogen fluxes in Nardus snowbed grassland and Empetrum shrub heath, two widespread alpine habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Broyd","Taylor","Mills","Aguado Saiz","Ostle","Britton"],"fullName":["Broyd, R.C.","Taylor, A.F.S.","Mills, R.T.E.","Aguado Saiz, S.","Ostle, N.J.","Britton, A.J.","Broyd, R."],"funder":["Natural Environment Research Council"],"givenName":["Rosanne C.","Andy F.S.","Robert T.E.","Sara","Nicholas J.","Andrea J.","R."],"grant":["NE-M009106-1"],"identifier":"4673cd44-b3f5-41e7-bd84-1c18bb1c0c9a","incomingCitationCount":0,"keyword":["Soil","alpine heath","ammonium","Cairngorms","carbon dioxide","dissolved organic carbon","dissolved organic nitrogen","ecosystem respiration","Empetrum shrub heath","gas flux","gross photosynthesis","leachate","Nardus snowbed grassland","net ecosystem exchange","nitrate","oceanic-alpine","photosynthesis","respiration","Scotland","soil","total dissolved nitrogen"],"keywordsOther":["alpine heath","ammonium","Cairngorms","carbon dioxide","dissolved organic carbon","dissolved organic nitrogen","ecosystem respiration","Empetrum shrub heath","gas flux","gross photosynthesis","leachate","Nardus snowbed grassland","net ecosystem exchange","nitrate","oceanic-alpine","photosynthesis","respiration","Scotland","soil","total dissolved nitrogen"],"keywordsTheme":["Soil"],"licence":"Non-Open government licence","lineage":"Plant-soil mesocosms (10 cm diameter, 15 cm depth) were collected from Nardus snowbed grassland and Empetrum shrub heath in the Allt a'Mharcaidh catchment, western Cairngorm mountains, Scotland, and transferred to a controlled-environment facility the following day. Mesocosms were maintained under simulated diurnal light, temperature and humidity conditions and randomly assigned to combinations of drought (control or 16-day drought) and rewetting intensity (low or high) treatments within a structured experimental timeline (acclimation, baseline, drought, rewetting and recovery phases). Artificial rain, formulated to reflect northwest Scotland precipitation chemistry, was applied according to treatment design. Throughout the experiment, CO₂ fluxes (net ecosystem exchange and ecosystem respiration) were measured using an infrared gas analyser and chamber system, with fluxes calculated from concentration changes over time. Leachate was collected at defined intervals, filtered and analysed for ammonium, nitrate, total dissolved nitrogen and dissolved organic carbon, enabling calculation of nutrient fluxes. Vegetation cover was assessed visually and analysed using principal coordinate analysis, while soil temperature and mesocosm mass were monitored regularly to determine moisture dynamics. At harvest, soils and vegetation were destructively sampled to quantify soil carbon and nitrogen content, pools, microbial biomass carbon and nitrogen (via fumigation-extraction), and aboveground biomass using combustion analysis and standard laboratory procedures. Together, these measurements quantify ecosystem carbon and nitrogen fluxes and soil-plant responses to drought and rewetting intensity treatments under controlled conditions.","locations":["POLYGON((-3.895 57.049, -3.895 57.108, -3.798 57.108, -3.798 57.049, -3.895 57.049))"],"metadataDate":"2026-11-05T13:46:12.000Z","orcid":["0000-0002-0532-0674","0000-0003-0727-8171","0000-0003-3263-3702","0000-0002-0603-7432"],"organisation":["South Atlantic Environmental Research Institute","James Hutton Institute","University of York","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4673cd44-b3f5-41e7-bd84-1c18bb1c0c9a","10.5285/4673cd44-b3f5-41e7-bd84-1c18bb1c0c9a","doi:10.5285/4673cd44-b3f5-41e7-bd84-1c18bb1c0c9a"],"resourceType":"Dataset","rightsHolder":["Lancaster University","James Hutton Institute"],"ror":["https://ror.org/004yeqt02","https://ror.org/03rzp5127","https://ror.org/04m01e293","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprise biogeochemical data of Nardus stricta snowbed grassland and Empetrum nigrum heath during a controlled environment drought-rewetting mesocosm experiment. The mesocosms were collected from Allt a'Mharcaidh catchment (3°50′ W, 57°5′ N), in the western…","state":"published","title":"Carbon and nitrogen gas and leachate fluxes, soil and vegetation properties in oceanic-alpine ecosystems during a drought-rewetting mesocosm experiment","topic":["0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites. The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) collate the data and the UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z.","Butterfly Conservation"],"givenName":["M.","D.","T.","I.","Z.","David"],"identifier":"b00c37c7-43ca-495e-aa79-e691d46c9ffa","incomingCitationCount":0,"keyword":["United Kingdom","England","Scotland","Northern Ireland","Wales","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Northern Ireland","Wales"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored. This dataset has been superseded by a more recent version 'United Kingdom Butterfly Monitoring Scheme: site location data 2013'.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T09:49:47.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-05-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1368012615424","CEH:EIDC::1368012615424","https://catalogue.ceh.ac.uk/id/b00c37c7-43ca-495e-aa79-e691d46c9ffa","10.5285/b00c37c7-43ca-495e-aa79-e691d46c9ffa","doi:10.5285/b00c37c7-43ca-495e-aa79-e691d46c9ffa"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored.…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2012","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2012","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}