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There is one file for each variable.\n\nTo aid interpretation, three 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 and c) a 1km x 1km grid identifying majority lake cells.\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":"f5fc1041-e284-4763-b8b7-8643c319b2d0","incomingCitationCount":1,"keyword":["Northern Ireland","UK-SCAPE","Modelling","Hydrology","Annual minimum","Annual maximum","Grid-to-Grid (G2G)","River flow","hydrology","modelling","river"],"keywordsOther":["Annual minimum","Annual maximum","Grid-to-Grid (G2G)","River flow","hydrology","modelling","river"],"keywordsPlace":["Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["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.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were: \n - daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca)\n - daily min and max temperature (Met Office; https://doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) \n - monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997)\n\nSee accompanying documenation for more details.","locations":["POLYGON((-8.394 53.702, -8.394 55.329, -5.35 55.329, -5.35 53.702, -8.394 53.702))"],"metadataDate":"2026-07-25T18:07:58.000Z","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":"2021-08-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5fc1041-e284-4763-b8b7-8643c319b2d0","10.5285/f5fc1041-e284-4763-b8b7-8643c319b2d0","doi:10.5285/f5fc1041-e284-4763-b8b7-8643c319b2d0"],"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 1km grid over Northern Ireland for the period Dec 1980 - Nov 2011. 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Elsevier BV."],"supplementalName":["UKSCAPE"],"title":"Grid-to-Grid model estimates of river flow for Northern Ireland driven by observed data (1980 to 2011)","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","crimar"]},{"altTitle":["Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project","Ecosystem Services for Poverty Alleviation (ESPA) programme"],"authorAffiliation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh"],"authorFamilyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"authorFullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"authorGivenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"authorOrcid":["0000-0002-5019-1015","0000-0002-5119-5894","0000-0001-7552-7470"],"authorRor":["https://ror.org/02srvn192","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Rich text format"],"description":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood, wood for charcoal production, etc.) and their causes (e.g. change in land use) in rural Mozambique.\n\nInformation was gathered at 20 workshops held in Maputo, Xai Xai, Lichinga, Quelimane, and at village level in the districts of Mabalane, Marrupa and Gurue in 2014 and 2015. The objective of the workshops was to examine aspects that influence well-being and their causes in the miombo woodland area of rural Mozambique. One of the objectives of the project was to construct Bayesian belief networks (BBNs) to model future land use change scenarios in rural Mozambique using a participatory approach, to evaluate the consequences of deforestation in the well-being of the rural population.\n \nThe data were collected as part of the Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands (ACES) project and were funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme, funded by NERC, the Economic & Social Research Council (ESRC) and the Department for International Development (DfID), the three are government organizations from UK. The project was led by the University of Edinburgh, with the collaboration of the Universidad Mondlane, the IIED, and other organizations. ","documentType":"GEMINI_DOCUMENT","familyName":["Zorrilla-Miras","Matediane","Mahamane","Nhantumbo","Varela","Metzger","Patenaude"],"fullName":["Zorrilla-Miras, P.","Matediane, J.","Mahamane, M.","Nhantumbo, I.","Varela, R.","Metzger, M.J.","Patenaude, G."],"funder":["Natural Environment Research Council"],"givenName":["Pedro","J.","M.","I.","R.","M.J.","G."],"grant":["NE/K010395/1"],"identifier":"14622c4b-8bd4-4624-8ea6-35da7da211cd","incomingCitationCount":0,"keyword":["Mozambique","miombo woodland","ACES","ESPA programme","Ecosystem services"],"keywordsPlace":["Mozambique","miombo woodland"],"keywordsProject":["ACES","ESPA programme"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The data were collected during the development of 20 workshops. Four of them were in cities, and the rest in rural villages. The first type of workshops were divided in two parts, one devoted to Bayesian belief networks (BBN) and the second to scenario construction. \n\nThe data was collected in different ways and formats: 1) one to three persons took notes during the workshops; 2) we recorded most of the discussions after obtaining the acceptance from the participants for doing so; 3) we took pictures of the materials generated, with the necessary quality to read and interpret the content. \n\nTwo persons were in charge of writing down the results from the workshops in the presented documents: one of them wrote a first version, which was then reviewed by a second person. Both persons had been present during the workshops. Both of them did a final review of the documents, and then were approved as official results from the project. ","locations":["POLYGON((30.21 -26.92, 30.21 -10.33, 41.05 -10.33, 41.05 -26.92, 30.21 -26.92))"],"metadataDate":"2026-07-24T19:10:04.000Z","orcid":["0000-0002-5019-1015","0000-0002-5119-5894","0000-0001-7552-7470"],"organisation":["Icatalist, S.L.","IUCN Mozambique","University of Diffa","International Institute for Environment and Development (IIED)","Unaffiliated","University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-11-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/14622c4b-8bd4-4624-8ea6-35da7da211cd","10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd","doi:10.5285/14622c4b-8bd4-4624-8ea6-35da7da211cd"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/02srvn192","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise causal diagrams which show links between aspects that influence the well-being of rural inhabitants (e.g. good quality of food, good family relationships, education, etc) with ecosystem services (e.g. food from trees, wood sticks for construction, firewood,…","state":"published","supplementalDescription":["Understanding Land Use, Land Cover and Woodland-Based Ecosystem Services Change, Mabalane, Mozambique. 2017 Mansour Mahamane, Pedro Zorrilla-Miras, Peter Verweij, Casey Ryan, Genevieve Patenaude, Isla Grundy, Isilda Nhantumbo, Marc Metzger, Natasha Ribeiro, Sophia Baumert, Frank Vollmer. Energy and Environment Research; Vol. 7, No. 1, doi:10.5539/eer.v7n1p1 ","Environmental Conservation and Social Benefits of Charcoal Production in Mozambique. 2017. Pedro Zorrilla-Miras, Mansour Mahamane, Marc J. Metzger, Sophia Baumert, Frank Vollmer, Ana Catarina Luz, Emily Woollen, Almeida A. Sitoe, Genevieve Patenaude, Isilda Nhantumbo, Casey M.Ryan, James Paterson, Maria Juliet Matediane, Natasha Sofian Ribeiro, Isla M.Grundy. Ecological Economics Volume 144, February 2018, Pages 100-111\n","Making the links between woodlands and wellbeing: a multi-stakeholder approach. Isilda Nhantumbo, Pedro Zorrilla Miras, Maria Julieta Matediane, Genevieve Patenaude, Marc Metzger, James Paterson, Luis Artur, Mansour Mahamane, Almeida Sitoe"],"supplementalName":["Ecosystems Services for Poverty Alleviation (ESPA) programme","ACES project: livelihoods and land use change in Mozambique Abrupt Changes in Ecosystem Services and Wellbeing in Mozambican Woodlands?"],"title":"Causal diagrams linking rural well-being with forest ecosystem services in Mozambique (2014 and 2015)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Universidade Estadual Paulista (Unesp)"],"authorFamilyName":["Damasceno","Fidelis"],"authorFullName":["Damasceno, G.","Fidelis, A."],"authorGivenName":["G.","A."],"authorOrcid":["0000-0001-5103-484X","0000-0001-9545-2285"],"authorRor":["https://ror.org/00987cb86"],"availability":"Available","catalogue":"eidc","dataFormat":["rdata"],"description":"The data comprise measurements of the impact of two prescribed annual burnings on the ecological properties of an invasion gradient by Urochloa decumbens in a tropical savanna (Cerrado). The ecological properties measured before (2019) and after the experiment (2021) were the abundance of invasive species, illuminance, air temperature, air humidity, specific leaf area, species richness, species diversity, vegetation cover, biomass, decomposition rate and carbon efflux.\n\nThe two experimental areas were located within two reserves in Southeast and Central Brazil: Estação Ecológica de Itirapina in the municipalities of Brotas and Itirapina in São Paulo State, and Parque Nacional de Brasília in the Distrito Federal.\n\nData were collected during multiple field excursions between March 2019 and September 2021.","documentType":"GEMINI_DOCUMENT","familyName":["Damasceno","Fidelis"],"fullName":["Damasceno, G.","Fidelis, A.","Gabriella Damasceno"],"funder":["Natural Environment Research Council","Fundação de Amparo à Pesquisa do Estado de São Paulo - FAPESP","Neotropical Grassland Conservancy"],"givenName":["G.","A."],"grant":["NE/S011641/1","2018/09054-0","2018/14995-8","2015/06743-0"],"identifier":"15d26e24-345a-4280-b993-2495950f71cd","incomingCitationCount":0,"keyword":["Invasive species","Biodiversity","invasive alien species","invasive grasses","tropical savanna","Cerrado","illuminance","air temperature","air humidity","specific leaf area","species richness","species diversity","vegetation cover","biomass","decomposition rate","carbon efflux","prescribed fires"],"keywordsOther":["invasive alien species","invasive grasses","tropical savanna","Cerrado","illuminance","air temperature","air humidity","specific leaf area","species richness","species diversity","vegetation cover","biomass","decomposition rate","carbon efflux","prescribed fires"],"keywordsTheme":["Invasive species","Biodiversity"],"licence":"Open government licence","lineage":"Data were collected in the field and digitized. Material sampled in the field that required any type of further manipulation or processing was brought to the Laboratório de Ecologia Vegetal da Universidade Estadual Paulista (Unesp). If further processing was required (dependant on material type), this was recorded and can be found in the data (.Rdata file).","locations":["POLYGON((-48.181 -22.263, -48.181 -15.544, -47.79 -15.544, -47.79 -22.263, -48.181 -22.263))"],"metadataDate":"2026-07-24T19:10:54.000Z","orcid":["0000-0001-5103-484X","0000-0001-9545-2285"],"organisation":["Universidade Estadual Paulista (Unesp)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/15d26e24-345a-4280-b993-2495950f71cd","10.5285/15d26e24-345a-4280-b993-2495950f71cd","doi:10.5285/15d26e24-345a-4280-b993-2495950f71cd"],"resourceType":"Dataset","rightsHolder":["Universidade Estadual Paulista (Unesp)"],"ror":["https://ror.org/00987cb86","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the impact of two prescribed annual burnings on the ecological properties of an invasion gradient by Urochloa decumbens in a tropical savanna (Cerrado). 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LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. \n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is 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","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"505d1e0c-ab60-4a60-b448-68c5bbae403e","incomingCitationCount":10,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage target class is produced from the 25m raster (which is derived from the vector product) by:\n1.\tUsing gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2.\tGdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3.\tGdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:02:50.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/505d1e0c-ab60-4a60-b448-68c5bbae403e","10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e","doi:10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one…","state":"published","title":"Land Cover Map 2015 (1km percentage target class, GB)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Winfield","James"],"authorFullName":["Winfield, I.J.","James, J.B."],"authorGivenName":["I.J.","J.B."],"authorOrcid":["0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of estimated gonad weight and associated data on male pike (Esox lucius) from net sampling in Windermere, Cumbria.  Data collection began in 1945. 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Data collection began in 1945. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected…","state":"published","title":"Windermere pike male gonad weight data (1945 to 1996)","topic":["0/Biodiversity/","0/Environmental survey/","0/Water quality/","0/Animal behaviour/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Stirling","TU Dresden","Technical University of Munich"],"authorFamilyName":["Mercer","Jump","O'Sullivan","van der Maaten-Theunissen","Zang","Morley"],"authorFullName":["Mercer, C.","Jump, A.","O'Sullivan, K.","van der Maaten-Theunissen, M.","Zang, C.","Morley, P."],"authorGivenName":["C.","A.","K.","M.","P."],"authorOrcid":["0000-0001-5811-0980","0000-0002-2167-6451","0000-0001-9062-8886","0000-0002-7503-2520"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/042aqky30","https://ror.org/02kkvpp62"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021. ","documentType":"GEMINI_DOCUMENT","familyName":["Mercer","Jump","O'Sullivan","van der Maaten-Theunissen","Zang","Morley"],"fullName":["Mercer, C.","Jump, A.","O'Sullivan, K.","van der Maaten-Theunissen, M.","Zang, C.","Morley, P."],"funder":["Natural Environment Research Council"],"givenName":["C.","A.","K.","M.","P."],"grant":["NE/V00929X/1"],"identifier":"8d6effc3-54f2-4770-ac34-63320eb9e4e2","incomingCitationCount":0,"keyword":["Germany","dendrochronology","European beech","climate change","drought"],"keywordsOther":["dendrochronology","European beech","climate change","drought"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"Tree cores were sampled using increment borers. At each site three trees were chosen for coring, with two or three cores taken per tree. \n\nCores were sanded and ring widths measured based on high-resolution images of the sanded cores. Cores were cross-dated and summary statistics used to compare cross-dating accuracy. The dataset contains the resulting dated ring width series.","locations":["POLYGON((9.7 50.19, 9.7 50.58, 10.28 50.58, 10.28 50.19, 9.7 50.19))"],"metadataDate":"2026-07-25T08:42:24.000Z","orcid":["0000-0001-5811-0980","0000-0002-2167-6451","0000-0001-9062-8886","0000-0002-7503-2520"],"organisation":["University of Stirling","TU Dresden","Technical University of Munich","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-08-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d6effc3-54f2-4770-ac34-63320eb9e4e2","10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2","doi:10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/042aqky30","https://ror.org/02kkvpp62","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021.…","state":"published","title":"European beech tree ring data, Rhön Biosphere Reserve, Germany, 2021","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W."],"grant":["NE/R016429/1"],"identifier":"f5e3bd00-efd0-4dc6-a454-aa597d84764a","incomingCitationCount":1,"keyword":["Land cover","Land use","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Land use","Mapping"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover target class is produced from the 1km percentage cover target class product. The 1km percentage cover data is used to identify the highest percentage cover across the 21 bands and a script is used to identify which band the maximum value coincides with.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:07:49.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5e3bd00-efd0-4dc6-a454-aa597d84764a","10.5285/f5e3bd00-efd0-4dc6-a454-aa597d84764a","doi:10.5285/f5e3bd00-efd0-4dc6-a454-aa597d84764a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for…","state":"published","title":"Land Cover Map 1990 (1km dominant target class, GB) v2","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":2.0,"view":["public","clamw"]},{"authorAffiliation":["Jaramogi Oginga Odinga University of Science and Technology","Victoria Institute of Research on Environment and Development (VIRED) International","University of Southampton","University of Surrey"],"authorFamilyName":["Okotto","Okotto-Okotto","Price","Pedley","Wright"],"authorFullName":["Okotto, L.G.","Okotto-Okotto, J.","Price, H.","Pedley, S.","Wright, J."],"authorGivenName":["L.G.","J.","H.","S."],"authorRor":["https://ror.org/03ffvb852","https://ror.org/01ryk1543","https://ror.org/00ks66431"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the anonymised results of a survey of customers who buy groundwater for consumption in Kisumu, Kenya. Data includes information on the amount of water bought and ways in which this water was used and handled, as well as their use of water from other sources. Data about assets and services, including access to food, are also included. The surveys were carried out during February and March 2014 and include data from 137 well customers. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Okotto","Okotto-Okotto","Price","Pedley","Wright"],"fullName":["Okotto, L.G.","Okotto-Okotto, J.","Price, H.","Pedley, S.","Wright, J.","Wright, J.A."],"givenName":["L.G.","J.","H.","S.","J.A."],"identifier":"6f3f1d06-4e6b-435e-a770-af7549993b88","incomingCitationCount":0,"keyword":["Kenya","Kisumu","Manyatta","Migosi","latrines","groundwater","water well","water pollution","urbanisation"],"keywordsOther":["latrines","groundwater","water well","water pollution","urbanisation"],"keywordsPlace":["Kenya","Kisumu","Manyatta","Migosi"],"licence":"Open government licence","lineage":"Data were collected using trained surveyors using a standardised questionnaire. Customers who took part in the survey were selected at random from a list of customers for each groundwater source/well.","locations":["POLYGON((34.583 -0.183, 34.583 0.033, 34.917 0.033, 34.917 -0.183, 34.583 -0.183))"],"metadataDate":"2026-07-25T06:49:42.000Z","organisation":["Jaramogi Oginga Odinga University of Science and Technology","Victoria Institute of Research on Environment and Development (VIRED) International","University of Southampton","University of Surrey","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-11-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1412341995585","CEH:EIDC::1412341995585","https://catalogue.ceh.ac.uk/id/6f3f1d06-4e6b-435e-a770-af7549993b88","10.5285/6f3f1d06-4e6b-435e-a770-af7549993b88","doi:10.5285/6f3f1d06-4e6b-435e-a770-af7549993b88"],"resourceType":"Dataset","ror":["https://ror.org/03ffvb852","https://ror.org/01ryk1543","https://ror.org/00ks66431","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the anonymised results of a survey of customers who buy groundwater for consumption in Kisumu, Kenya. Data includes information on the amount of water bought and ways in which this water was used and handled, as well as their use of water from…","state":"published","title":"Socio-economic survey of domestic groundwater handling and use for source customers in Kisumu, Kenya in 2014","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Smart, S.M.","Stuart, R.C.","Wood, C.M."],"authorGivenName":["C.J.","R.G.H.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 508 1km x 1km square sites surveyed across Great Britain in 1990. Many of the plots are repeated from surveys in 1978 and were surveyed again in 1998 and 2007. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. ","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wood, C."],"givenName":["C.J.","R.G.H.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","S.M.","R.C.","C.M.","Claire"],"identifier":"26e79792-5ffc-4116-9ac7-72193dd7f191","incomingCitationCount":4,"keyword":["Great Britain","plants","vegetation","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["plants","vegetation","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology). Standard Countryside Survey methodology was applied (refer to the online documentation). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:27:00.000Z","orcid":["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":"2014-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1390493897298","CEH:EIDC::1390493897298","https://catalogue.ceh.ac.uk/id/26e79792-5ffc-4116-9ac7-72193dd7f191","10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191","doi:10.5285/26e79792-5ffc-4116-9ac7-72193dd7f191"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 508 1km x 1km square sites surveyed across Great Britain in 1990. Many of the plots are repeated from surveys in 1978 and were surveyed again in 1998 and 2007. General…","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1990 vegetation plot data","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University "],"authorFamilyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"authorFullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"authorGivenName":["K.","O.","E.","L.M.","G.","B."],"authorOrcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for the same samples are found in accompanying files. ","documentType":"GEMINI_DOCUMENT","familyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"fullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["K.","O.","E.","L.M.","G.","B."],"identifier":"8d5af777-384c-4114-af6b-69cdac239810","incomingCitationCount":0,"keyword":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"keywordsOther":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"licence":"Open government licence","lineage":"The dataset was generated as a part of the NERC-funded project NE/X012980/1 ‘Determining vitamin D status in precontact Western Alaska: a new method for exploring past health and dietary adaptations to high-latitude living’, as well as from an earlier (internally-allocated) BBSRC-funded pilot study (in the case of some of the isotope data). Vitamin D data were all generated at the University of Aberdeen, and isotope data were generated at SUERC (carbon, nitrogen, sulphur) and Boise State University (oxygen, hydrogen). ","locations":["POLYGON((-161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71))"],"metadataDate":"2026-07-25T08:42:21.000Z","orcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"organisation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d5af777-384c-4114-af6b-69cdac239810","10.5285/8d5af777-384c-4114-af6b-69cdac239810","doi:10.5285/8d5af777-384c-4114-af6b-69cdac239810"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for…","state":"published","title":"Vitamin D and stable isotope data from human hair from the archaeological site, Nunalleq, Alaska","version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","The Institute of Terrestrial Ecology"],"authorFamilyName":["Ridding","Hawes","Walls","Wells","Cox","Williamson","Pereira","Thacker","Keenan","Pywell"],"authorFullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Wells, T.","Cox, R.","Williamson, J.","Pereira, M.G.","Thacker, S.A.","Keenan, P.O.","Pywell, R.F."],"authorGivenName":["L.E.","P.","R.","T.","J.","M.G.","S.A.","P.O.","R.F."],"authorOrcid":["0000-0003-3141-8795","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains vascular plant species abundance, average sward height, and soil analysis data from Parsonage Down National Nature Reserve (NNR), in southern England, in 1970, 1990 and 2016. 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The dataset was created for a study which examined long-term vegetation change at the nature reserve.","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Hawes","Walls","Wells","Cox","Williamson","Pereira","Thacker","Keenan","Pywell"],"fullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Wells, T.","Cox, R.","Williamson, J.","Pereira, M.G.","Thacker, S.A.","Keenan, P.O.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["L.E.","P.","R.","T.","J.","M.G.","S.A.","P.O.","R.F."],"grant":["NE/N018125/1"],"identifier":"ffc06839-e64c-4844-aae7-db3b0a012e2e","incomingCitationCount":0,"keyword":["Parsonage Down National Nature Reserve","ASSIST","Biodiversity","Soil","Environmental survey"],"keywordsPlace":["Parsonage Down National Nature Reserve"],"keywordsProject":["ASSIST"],"keywordsTheme":["Biodiversity","Soil","Environmental survey"],"licence":"Open government licence","lineage":"Each survey was carried out by experienced botanical surveyors working in pairs (or threes), using the same recording methods and equipment, including one surveyor who was involved in both the 1970 and 2016 re-survey. The plant data were collected using 20 cm x 20 cm quadrats located every 3 feet along 4 transects. For each quadrat, vascular plant species abundance were recorded using the Domin scale and average sward height was recorded using a metre ruler. Twenty-two soil samples were taken at various points along each transect at two depths, 0-5 cm and 5-10 cm. Soil analyses was conducted using standardised protocols, detailed within the supporting documentation. Wooden stakes from the 1970 survey allowed the original transects to be found in 1990. However, the stakes were no longer present in 2016 so transects were accurately re-located by geo-referencing the original survey maps using GIS (geographic information system) methods, detailed within the supporting documentation.","locations":["POLYGON((-1.958 51.161, -1.958 51.18, -1.892 51.18, -1.892 51.161, -1.958 51.161))"],"metadataDate":"2026-07-25T18:12:29.000Z","orcid":["0000-0003-3141-8795","0000-0001-6431-9959"],"organisation":["Centre for Ecology & Hydrology","The Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ffc06839-e64c-4844-aae7-db3b0a012e2e","10.5285/ffc06839-e64c-4844-aae7-db3b0a012e2e","doi:10.5285/ffc06839-e64c-4844-aae7-db3b0a012e2e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains vascular plant species abundance, average sward height, and soil analysis data from Parsonage Down National Nature Reserve (NNR), in southern England, in 1970, 1990 and 2016. Vascular plant species abundance and average sward height were recorded…","state":"published","supplementalDescription":["A long-term National Capability programme, jointly funded by NERC and BBSRC. With support from the farming industry, ASSIST will meet the challenge of feeding growing populations without causing unacceptable environmental damage."],"supplementalName":["ASSIST: Achieving Sustainable Agricultural Systems"],"title":"Vegetation and soil data recorded at Parsonage Down National Nature Reserve in 1970, 1990 and 2016","topic":["0/Biodiversity/","0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the spider and beetle abundance sampled by suction sampling in each 1metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. All samples were taken during the winter and summer of 2013.\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":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"aff42a31-c314-444e-bdff-2275a8ee93da","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","suction sampling","Araneae","Coleoptera","beetle","spider","invertebrate","grassland","salt marsh"],"keywordsOther":["suction sampling","Araneae","Coleoptera","beetle","spider","invertebrate","grassland","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Ground dwelling spiders and beetles within each quadrat were sampled using suction sampling, counted and identified to species level. Results were recorded onto field sheets. These data were transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC.\nThe location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle 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). ","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-07-25T13:24:45.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aff42a31-c314-444e-bdff-2275a8ee93da","10.5285/aff42a31-c314-444e-bdff-2275a8ee93da","doi:10.5285/aff42a31-c314-444e-bdff-2275a8ee93da"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the spider and beetle abundance sampled by suction sampling in each 1metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) spider and beetle abundance on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Esri file geodatabase"],"description":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. \n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is 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","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"60764028-adeb-4316-987a-14b3b21a8f9a","incomingCitationCount":1,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon.\nLCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015. \n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T06:42:38.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60764028-adeb-4316-987a-14b3b21a8f9a","10.5285/60764028-adeb-4316-987a-14b3b21a8f9a","doi:10.5285/60764028-adeb-4316-987a-14b3b21a8f9a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover…","state":"published","title":"Land Cover Map 2015 (vector, N. Ireland)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises observations from treatments comparing conventional (LDPE) and biodegradable (PLA/PBAT) plastic mulch films in both new and field-weathered conditions. The dataset was generated from a controlled mesocosm experiment designed by researchers to investigate the effects of plastic mulch films on soil and plant systems. The data were collected during the experimental period and include measurements of soil properties, plant growth, nitrogen dynamics, greenhouse gas emissions, and microbial activity.\nPlastic materials were applied to soil at three concentrations (0.05%, 0.5%, and 1.5% w/w) and as realistic size mixtures of macro-, meso-, and microplastic fractions (1:1:1). The experiment was conducted using radish (Raphanus sativus L.) grown under controlled mesocosm conditions.\nData were collected through a combination of soil sampling, plant measurements, and laboratory analyses. These include soil physicochemical properties (e.g. bulk density, moisture), plant biomass and nutrient uptake (including ¹⁵N fertiliser partitioning), greenhouse gas emissions (e.g. N₂O, CO₂), and indicators of microbial activity. The dataset captures responses across different plastic types, degradation states, and concentrations, providing a structured comparison of their effects under controlled conditions.\nFurther methodological details and experimental procedures are provided in the lineage field and the supporting documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Martine","David R","Davey L","M."],"grant":["NE/V005871/1"],"identifier":"c2d4f068-e6bb-4613-8c43-e96b0aae25e8","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Soil","agricultural pollution","crop production","mulch","plastic","pollution","soil"],"keywordsOther":["agricultural pollution","crop production","mulch","plastic","pollution","soil"],"keywordsTheme":["Agriculture","Environmental risk","Soil"],"licence":"Open government licence","lineage":"Plant:\n-\tBiomass (root, bulb, shoot): Dry biomass weighed on 2-decimal scale. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tHeight: Measured using measuring tape. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tLeaf chlorophyll content: Recorded using a SPAD meter. Data recorded in paper notebook, transferred to Excel, exported as csv.\n-\tC, N, P, K, S concentration: Measured using CN analyser and TXRF spectroscopy. Data exported as Excel file, exported as csv.\n-\t15N retention: Measured using CN analyser. Data exported as Excel file, exported as csv.\nSoil:\n-\tpH and electrical conductivity: Measured using standard electrodes in a 1:2.5 soil:distilled water solution. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tNutrients (ammonium, nitrate, phosphate, DOC): Measured using colorimetric methods on a 1:5 soil: 0.5 M K2SO4 (NH4, NO3) or 0.5M acetic acid (PO4) extracts. DOC determined using TOC analyser on a 1:5 0.5M K2SO4 extract. Data exported as Excel files, exported as csv.\n-\tCumulative N2O emissions: Data analysed using gas chromatography, exported as Excel file, exported as csv.\n-\tCumulative 14CO2 respiration: Analysed using scintillation counter, data exported as Excel file, exported as csv.\n-\tC, N, P, K, S concentration: Measured using CN analyser and TXRF spectroscopy. Data exported as Excel file, exported as csv.\n-\t15N retention: Measured using CN analyser. Data exported as Excel file, exported as csv.\nPlastic:\n-\tFTIR spectra: Measured using ATR-FTIR spectroscopy. Data exported as csv.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-07-25T14:00:42.000Z","orcid":["0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2d4f068-e6bb-4613-8c43-e96b0aae25e8","10.5285/c2d4f068-e6bb-4613-8c43-e96b0aae25e8","doi:10.5285/c2d4f068-e6bb-4613-8c43-e96b0aae25e8"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises observations from treatments comparing conventional (LDPE) and biodegradable (PLA/PBAT) plastic mulch films in both new and field-weathered conditions. The dataset was generated from a controlled mesocosm experiment designed by researchers to…","state":"published","title":"Soil and plant properties in a mesocosm experiment exposed to both new and aged plastic mulch film","topic":["0/Agriculture/","0/Environmental risk/","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 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 2016), 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 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 the 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).","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z.","UKBMS"],"givenName":["M.","D.","T.","I.","Z."],"identifier":"5c5bbee4-fe39-40b2-a58b-16e05f994a74","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","Biodiversity","lepidopteran","butterfly"],"keywordsOther":["lepidopteran","butterfly"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsTheme":["Biodiversity"],"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":"2026-07-24T23:09:40.000Z","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":"2017-12-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5c5bbee4-fe39-40b2-a58b-16e05f994a74","10.5285/5c5bbee4-fe39-40b2-a58b-16e05f994a74","doi:10.5285/5c5bbee4-fe39-40b2-a58b-16e05f994a74"],"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","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2016","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo"],"authorFamilyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"authorGivenName":["L.","J.","K.N.","Y.","D."],"authorOrcid":["0000-0002-8317-7084","0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods are estimated using CMIP6 projections and subsequently used to extract flood maps from a global flood model.","documentType":"GEMINI_DOCUMENT","familyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"funder":["Natural Environment Research Council"],"givenName":["L.","J.","K.N.","Y.","D."],"grant":["NE/S3003061/1"],"identifier":"0d5d69ae-7f50-40ee-a0c9-2522de138f27","incomingCitationCount":0,"keyword":["Vietnam","Hydrology","Climate and climate change","Environmental risk","Flood Risk","Future Flood Risk","flood","climate change"],"keywordsOther":["Flood Risk","Future Flood Risk","flood","climate change"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Hydrology","Climate and climate change","Environmental risk"],"licence":"Open government licence","lineage":"This version of the global flood model develops that of Sampson et al (2015) by including an improved method to estimate channel conveyance (Neal et al., 2021) and an improved elevation dataset (Yamazaki et al., 2017).","locations":["POLYGON((98.613 5.504, 98.613 25.573, 114.609 25.573, 114.609 5.504, 98.613 5.504))"],"metadataDate":"2026-07-24T19:01:26.000Z","orcid":["0000-0002-8317-7084","0000-0001-5793-9594"],"organisation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo","NERC EDS Environmental Information Data Centre","Fathom"],"publicationDate":"2022-11-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d5d69ae-7f50-40ee-a0c9-2522de138f27","10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27","doi:10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27"],"resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods…","state":"published","supplementalName":["Hirabayashi et al., 2021","Sampson et al., 2015","Neal et al., 2021","Yamazaki et al., 2017"],"title":"Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100 ","topic":["0/Hydrology/","0/Climate and climate change/","0/Environmental risk/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Maslanka","Morrison","White"],"authorFullName":["Maslanka, W.M.","Morrison, K.","White, K."],"authorGivenName":["W.M.","K."],"authorOrcid":["0000-0002-1777-733X","0000-0002-8075-0316","0000-0002-4328-8185"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation.\n\nRadar backscatter was normalised to 40 incidence angle, using a novel monthly normalisation parameterisation.","documentType":"GEMINI_DOCUMENT","familyName":["Maslanka","Morrison","White"],"fullName":["Maslanka, W.M.","Morrison, K.","White, K.","Maslanka, W."],"funder":["Natural Environment Research Council"],"givenName":["W.M.","K.","William"],"grant":["NE/R004668/1"],"identifier":"b23d63d1-dcc5-4c49-a6b5-67154f3739b7","incomingCitationCount":0,"keyword":["River Thames","Soil","Sentinel-1","Change Detection","soil moisture"],"keywordsOther":["Sentinel-1","Change Detection","soil moisture"],"keywordsPlace":["River Thames"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Sentinel-1 IWGRDH data (VV Pol) went through the following processing steps:\n•\tExtraction\n•\tOrbital Correction\n•\tThermal and Border Noise Removal\n•\tCalibration\n•\tSpeckle Filtering (Refined Lee)\n•\tTerrain Correction\n•\tConversion to dB\n•\tSubsetting\n•\tLook Incidence Angle Normalisation\n•\tDynamic Masking (removing anomolus data)\n•\tSpatial Averaging to 100m resolution\n•\trSSM Calculation\nFull explanation of lineage and methodology can be found here: 10.1109/TGRS.2022.3175256\n","locations":["POLYGON((-2.22 51.15, -2.22 52.22, -0.57 52.22, -0.57 51.15, -2.22 51.15))"],"metadataDate":"2026-07-25T12:53:59.000Z","orcid":["0000-0002-1777-733X","0000-0002-8075-0316","0000-0002-4328-8185"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b23d63d1-dcc5-4c49-a6b5-67154f3739b7","10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7","doi:10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/04xw4m193","https://ror.org/05v62cm79"],"shortenedDescription":"This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation.\n\nRadar backscatter was normalised to 40 incidence angle, using a novel…","state":"published","supplementalDescription":["W. Maslanka, K. Morrison, K. White, A. Verhoef and J. Clark, \"Retrieval of Sub-Kilometric Relative Surface Soil Moisture With Sentinel-1 Utilizing Different Backscatter Normalization Factors,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 4410613","Monitoring Relative Surface Soil Moisture Using Sentinel-1 Across\nthe River Thames Catchment, William Maslanka, Keith Morrison, Kevin White, Anne Verhoef  and Joanna Clark. "],"title":"Relative surface soil moisture for the Thames Valley, United Kingdom, October 2015 to September 2021","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of York","University of Exeter","University of Sheffield","University of Manchester"],"authorFamilyName":["Keane","Hartley","Phoenix","Taylor"],"authorFullName":["Keane, J.B.","Hartley, I.P.","Phoenix, G.K.","Taylor, C.R."],"authorGivenName":["J.B.","I.P.","G.K.","C.R."],"authorOrcid":["0000-0001-7614-8018","0000-0002-9183-6617","0000-0002-0911-8107","0000-0003-4399-7472"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on bio-available phosphorus and microbial biomass phosphorus from two UK grassland soils and how this is affected by elevated CO2 (eCO2). The soils are from naturally phosphorus limited grasslands in the Peak District National Park, in northern England. The grasslands were exposed to eCO2 of 600 ppm, and ambient CO2 controls were maintained at ca. 400 ppm for three growing seasons (2018-2020). Soils were sampled once each year in October, and underwent extraction (bio-available phosphorus) or chloroform-fumigation-extraction (microbial biomass phosphorus) with 0.5M NaHCO3. Concentrations of phosphorus in the extracts were determined by ICP-OES. ","documentType":"GEMINI_DOCUMENT","familyName":["Keane","Hartley","Phoenix","Taylor"],"fullName":["Keane, J.B.","Hartley, I.P.","Phoenix, G.K.","Taylor, C.R.","Keane, B."],"funder":["Natural Environment Research Council"],"givenName":["J.B.","I.P.","G.K.","C.R.","Ben"],"grant":["NE/N0100086/1","NE/N010132/1"],"identifier":"35921c93-2d9e-4e35-8de5-adbfc37641b4","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","Soil microbial biomass","Elevated CO2","phosphorus","grassland","carbon dioxide","biomass","soil"],"keywordsOther":["Soil microbial biomass","Elevated CO2","phosphorus","grassland","carbon dioxide","biomass","soil"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were processed in the laboratories of the University of Sheffield and soil extracts were analysed at the University of Exeter. Internal standards were used to quantify phosphorus concentrations and soil microbial phosphorus values which were unrealistic (negative) were discarded. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:36:24.000Z","orcid":["0000-0001-7614-8018","0000-0002-9183-6617","0000-0002-0911-8107","0000-0003-4399-7472"],"organisation":["University of York","University of Exeter","University of Sheffield","University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/35921c93-2d9e-4e35-8de5-adbfc37641b4","10.5285/35921c93-2d9e-4e35-8de5-adbfc37641b4","doi:10.5285/35921c93-2d9e-4e35-8de5-adbfc37641b4"],"resourceType":"Dataset","rightsHolder":["University of Sheffield","University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/05krs5044","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset contains information on bio-available phosphorus and microbial biomass phosphorus from two UK grassland soils and how this is affected by elevated CO2 (eCO2). The soils are from naturally phosphorus limited grasslands in the Peak District National Park,…","state":"published","title":"Extractable phosphorus and microbial biomass phosphorus from two UK grassland soils under elevated CO2, 2018-2020","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Queen Mary University of London"],"authorFamilyName":["Burden","Garbutt","Hughes","Oakley","Tempest"],"authorFullName":["Burden, A.","Garbutt, A.","Hughes, S.","Oakley, S.","Tempest, J.A."],"authorGivenName":["A.","S.","J.A."],"authorOrcid":["0000-0002-7694-1638","0000-0002-9145-9786","0000-0002-5757-7420"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/026zzn846"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises biochemical measurements of salt marsh soil, and samples from fields on former salt marsh, taken using a soil corer. Sampling was conducted at three restored salt marshes and six accidentally breached sites on the Essex coast, UK, providing a chronosequence from 16 to 114 years since restoration of tidal flow. Natural salt marsh at all sites were also sampled, along with adjacent fields on former salt marsh (where access permitted). All salt marsh sampling took place in October 2011. Field sample sites were sampled between July 2010 and April 2017.\n\nThis data was collected as part of the NERC Centre for Ecology & Hydrology's Multi-functional land-use options project (C03463) in order to determine the trajectory and timescale of habitat recovery, and provide empirically-based predictions of changes in the rate of carbon sequestration over time following saltmarsh restoration. Data is also represented for fields on former saltmarsh to give a 'before' time point to be able to calculate these changes.","documentType":"GEMINI_DOCUMENT","familyName":["Burden","Garbutt","Hughes","Oakley","Tempest"],"fullName":["Burden, A.","Garbutt, A.","Hughes, S.","Oakley, S.","Tempest, J.A."],"givenName":["A.","S.","J.A.","Annette"],"identifier":"0b1faab4-3539-457f-9169-b0b1fbd59bc2","incomingCitationCount":2,"keyword":["salt marsh","wetland","blue carbon","carbon","restoration","coastal area"],"keywordsOther":["salt marsh","wetland","blue carbon","carbon","restoration","coastal area"],"licence":"Open government licence","lineage":"Three soil cores were taken at each sampling location using a soil corer measuring 4 centimetres (cm) in diameter and 30 cm in length. There were four sampling locations per salt marsh site, all taken from permanently vegetated marsh above 1.5 m ordnance datum (OD). The fields on former salt marsh had between 2 and 6 sampling sites situated away from field edges. All data derived from laboratory measurements. For each variable, standards were used and all laboratory equipment were calibrated in accordance with the laboratory practises at the Centre for Ecology & Hydrology (CEH) Bangor. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC.","locations":["POLYGON((0.615 51.596, 0.615 51.871, 1.071 51.871, 1.071 51.596, 0.615 51.596))"],"metadataDate":"2026-07-24T18:59:21.000Z","orcid":["0000-0002-7694-1638","0000-0002-9145-9786","0000-0002-5757-7420"],"organisation":["Centre for Ecology & Hydrology","Queen Mary University of London","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0b1faab4-3539-457f-9169-b0b1fbd59bc2","10.5285/0b1faab4-3539-457f-9169-b0b1fbd59bc2","doi:10.5285/0b1faab4-3539-457f-9169-b0b1fbd59bc2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/026zzn846","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises biochemical measurements of salt marsh soil, and samples from fields on former salt marsh, taken using a soil corer. Sampling was conducted at three restored salt marshes and six accidentally breached sites on the Essex coast, UK, providing a chronosequence…","state":"published","title":"Soil biochemical measurements from salt marshes of different ages on the Essex coast, UK (2011)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg"],"authorFamilyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"authorFullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T."],"authorGivenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"authorOrcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0001-7733-5069","0000-0002-3280-1959","0000-0002-3466-867X"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom mounted floats). Wave heights and energy were measured using RBRSolo3 D | wave sensors. Water depth in front of embankments were measured using a Garmin Aquamap device. Sediment properties were also gathered at each hydrodynamic sensor deployment. The purpose of the survey was to determine the level of hydrological forcing around the island, to provide guidance on coastal flood and erosion protection planning.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"fullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"grant":["NE/S008926/1"],"identifier":"19dd0d35-c109-481f-bd24-2e27da5fdccb","incomingCitationCount":0,"keyword":["Hydrology","Environmental survey","Modelling","Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsOther":["Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsTheme":["Hydrology","Environmental survey","Modelling"],"licence":"Open government licence","lineage":"Data to assess erosion and flood risk along Kumirmari island, Indian GBM delta, was gathered at eastern (22°12′43″N , 088°57′20″E), southern (22°10′40″N , 088°55′55″E), and western (22°12′15″N , 088°54′50″E) sites.\n\nAcceleration\nB4+ Mini Buoys were deployed at the base of embankments and at the bottom of fronting intertidal habitat. Each logger sampled y-axis acceleration at 1 Hz. Unfortunately, some Mini Buoys were lost during deployment.\n\nWave parameters\nAn RBRSolo3 D | wave sensor was deployed at the bottom of fronting intertidal habitat at each site along Kumirmari. Height of the RBRSolo pressure sensor above the bed was 4-5 cm. Velocities were recorded at a rate of 16 Hz in 17-minute bursts continuously. Atmospheric pressure, water density, sensor altitude (height), temperature, conductivity, salinity, and the specific conductivity coefficient were set to 10.1325 dbar, 1.0281 Mg/m³, 0.1 m, 0°C, 42.9140 mS/cm, 35 g/kg, and 0 respectively. 'Wave' default settings were used.\n\nWater depth\nA Garmin Aquamap 100S mounted to a boat measured channel depths at regular intervals along southern and western locations using a Garmin sounder module and transducer. No data was gathered at the eastern location due to poor weather. \n\nSoil parameters\nSoil organic matter content, conductivity (diluted in deionised water at a soil-water ratio of 1:2.5) at 25°C, moisture content, bulk density, and grain size (classified as percentage of sand, silt, and clay) were measured using IS 2720 (part 22), IS 14767, IS 2720 (part 2), IS 2720 (part 8), sieving standards respectively.\n\nCoordinates\nCoordinates were taken using Google Maps on an iPhone 13 Mini. Coordinates are expressed in WGS84 standard.\nMean and standard deviation in acceleration were calculated across 1- and 10-minute moving windows respectively. These were then used to assign inundation status (emersed (N), partially inundated (P), or fully submerged (F)) using a calibrated Quadratic Discriminant Analysis model, and current and wave orbital velocities from calibration curves (Ladd et al. 2024). Soil conductivity was converted to salinity using the 'ec2pss' package in R.\n\nNo processing was done to the wave parameter, water depth, or coordinate data.","locations":["POLYGON((87.88 21.433, 87.88 22.999, 89.099 22.999, 89.099 21.433, 87.88 21.433))"],"metadataDate":"2026-07-24T19:14:39.000Z","orcid":["0000-0001-5437-6474","0000-0002-1009-8123","0000-0001-7733-5069","0000-0002-3280-1959","0000-0002-3466-867X"],"organisation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/19dd0d35-c109-481f-bd24-2e27da5fdccb","10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb","doi:10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"title":"Hydrodynamic data from embankment edges of Kumirmari island, Indian Ganges-Brahmaputra-Meghna (GBM) Delta, July-August 2022","topic":["0/Hydrology/","0/Environmental survey/","0/Modelling/"],"version":1.0,"view":["public","jashun"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/documents"}