{"numFound":2341,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2","results":[{"publicationDate":"2014-01-24T00:00:00.000+00:00","metadataDate":"2026-04-14T10:31:13.000+00:00","authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","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.","Wood, C.M.","Wright, S.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 16 different habitat types. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species, soil data, linear feature data and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","identifier":"53ef00f4-e0c5-4095-850e-d4c474bc4ffd","incomingCitationCount":0,"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","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.","Wood, C.M.","Wright, S.M.","Wood, C."],"keyword":["Great Britain","Environmental survey","habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"keywordsOther":["habitats"],"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 areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as percentage values per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-4006-7755"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["1389883911200","CEH:EIDC::1389883911200","https://catalogue.ceh.ac.uk/id/53ef00f4-e0c5-4095-850e-d4c474bc4ffd","10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd","doi::10.5285/53ef00f4-e0c5-4095-850e-d4c474bc4ffd"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Countryside Survey 1990 mapped estimates of Broad Habitat areas in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"dataFormat":["TIFF"],"view":["public","rjsc"],"shortenedDescription":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1990 in a 1km grid format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project,..."},{"publicationDate":"2021-06-02T00:00:00.000+00:00","metadataDate":"2026-04-14T10:32:56.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","JSHU","MOD","Darwin Initiative"],"authorGivenName":["M.","P.","E.","D.","L.","J.","C.","O.L."],"authorFamilyName":["Bowes","Scarlett","Trill","Nicholls","Armstrong","Philippou","Georgiou","Peyton","Taylor","Pescott","Young"],"authorFullName":["Bowes, M.","Scarlett, P.","Trill, E.","Nicholls, D.","Armstrong, L.","Philippou, M.","Georgiou, M.","Peyton, J.","Taylor, C.","Pescott, O.L.","Young, E."],"authorOrcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-8313-6194","https://orcid.org/0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise water chemistry (analysis included phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate) in water samples taken at Lake Akrotiri, Cyprus, and its main inputs between July 2019 and November 2020. The eight monitoring sites included marginal samples from around the lake and also samples of the input canals that drained the surrounding marshes and a drainage pipe.","documentType":"GEMINI_DOCUMENT","funder":["Department for Environment Food and Rural Affairs"],"identifier":"0de897cd-3aa3-45a3-8bff-3bff62c01f30","incomingCitationCount":0,"givenName":["M.","P.","E.","D.","L.","J.","C.","O.L.","Peter"],"familyName":["Bowes","Scarlett","Trill","Nicholls","Armstrong","Philippou","Georgiou","Peyton","Taylor","Pescott","Young"],"fullName":["Bowes, M.","Scarlett, P.","Trill, E.","Nicholls, D.","Armstrong, L.","Philippou, M.","Georgiou, M.","Peyton, J.","Taylor, C.","Pescott, O.L.","Young, E."],"keyword":["Cyprus","Lake Akrotiri","Hydrology","Water quality"],"keywordsPlace":["Cyprus","Lake Akrotiri"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Open government licence","lineage":"In July 2019 the field measurements were taken by UKCEH using a MYRON L Ultrameter II and a YSI DSS pro. Subsequent samples were taken by staff of the Joint Services Health Unit (JSHU) using a YSI DSS pro.\n\nField samples were filtered immediately through a 0.45 μm Whatman WCN membrane filter. These were analysed in laboratories at UKCEH Wallingford for phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate. Some values are missing due to equipment failure, the different types of probe used to take field samples or because a sample could not be taken due to access.\n\nThe samples were taken by experienced field surveyors and the data was checked for anomalous values. All analysis (with the exception of suspended solids) was carried out alongside reference Aquacheck QC standards (LGC Standards, Teddington, UK).\n\nThe samples were taken as part of the Darwin Initiative Plus project, which seeks to monitor and understand drivers of change in the Akrotiri wetlands.","locations":["POLYGON((32.871 34.557, 32.871 34.685, 33.07 34.685, 33.07 34.557, 32.871 34.557))"],"orcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-8313-6194","https://orcid.org/0000-0002-0685-8046"],"organisation":["UK Centre for Ecology & Hydrology","JSHU","MOD","Darwin Initiative","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0de897cd-3aa3-45a3-8bff-3bff62c01f30","10.5285/0de897cd-3aa3-45a3-8bff-3bff62c01f30","doi::10.5285/0de897cd-3aa3-45a3-8bff-3bff62c01f30"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Dawin initiative website"],"title":"Water chemistry data from Lake Akrotiri, Cyprus, and its main inputs, July 2019 - November 2020","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","matnic"],"shortenedDescription":"Data comprise water chemistry (analysis included phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate) in water samples taken at Lake Akrotiri, Cyprus, and its main inputs between July 2019 and..."},{"publicationDate":"2017-04-21T00:00:00.000+00:00","metadataDate":"2026-03-26T13:34:25.000+00:00","authorAffiliation":["Cardiff University","Imperial College London"],"authorGivenName":["I.","H.B.","M.C.","C.","S.J.","G."],"authorFamilyName":["Durance","Feeley","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"authorFullName":["Durance, I.","Feeley, H.B.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"authorOrcid":["https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-6785-4049","https://orcid.org/0000-0002-8174-302X"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/041kmwe10"],"catalogue":"eidc","description":"This dataset consists of fish species, fish length and fish weight from samples taken from small and medium catchments across Wales. Samples were collected in the summers and autumns of 2012 and 2013 using electrofishing. All the collected individuals were counted and recorded to represent the fish diversity and abundance of each sampling site and date. The main goal of this survey was to relate fish production with a gradient of aquatic biodiversity associated with different environmental settings (land-use intensify, recovery from acidification). \n\nDr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting, sorting and measuring the fish samples. The work was carried out under the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/J014818/1"],"identifier":"57f95ff8-e1b0-41b9-866a-feb231aecb67","incomingCitationCount":0,"givenName":["Isabelle","I.","H.B.","M.C.","C.","S.J.","G."],"familyName":["Durance","Feeley","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"fullName":["Durance, I.","Feeley, H.B.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"keyword":["DURESS","Atlantic salmon","Brown Trout","land use","acidity","benthic ecosystem"],"keywordsProject":["DURESS"],"keywordsOther":["Atlantic salmon","Brown Trout","land use","acidity","benthic ecosystem"],"licence":"Open government licence","lineage":"Fish populations at the study sites were surveyed during a stable base-flow period from June to September 2012 and in July and September 2013. Fish samples were collected by electrofishing in representative 30 metre reaches that were enclosed with stop nets Fish caught during each pass were transferred immediately to a holding container containing stream water. After each pass, individuals were identified to species, weighed to the nearest gram using an electronic balance and fork length (FL) measured to the nearest millimetre was recorded. The mass of some individuals could not be accurately determined in the field. For these fish, mass was estimated using a length-mass regression, based on the 2012 observed data. (Details in supporting documentation).\n\nResults were recorded in the field and results transferred into an Excel spreadsheet. Data was exported to a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"orcid":["https://orcid.org/0000-0002-8174-302X","https://orcid.org/0000-0002-4138-3349","https://orcid.org/0000-0003-0386-0586","https://orcid.org/0000-0002-6785-4049"],"organisation":["Cardiff University","Imperial College London","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57f95ff8-e1b0-41b9-866a-feb231aecb67","10.5285/57f95ff8-e1b0-41b9-866a-feb231aecb67","doi::10.5285/57f95ff8-e1b0-41b9-866a-feb231aecb67"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/03kk7td41","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Beaumont W.R.C. (2011) Electric Fishing: A Complete Guide to Theory and Practice. Game & Wildlife Conservation Trust, Fordingbridge, Hampshire.","Kruse C.G., Hubert W.A. & Rahel F.J. (1998) Single-pass electrofishing predicts trout abundance in mountain streams with sparse habitat. North American Journal of Fisheries Management, 18, 940-946.","Maitland P.S. (1972) A key to the freshwater fishes of the British Isles. Scientific Publication of the Freshwater Biological Association, 27, 1-137."],"title":"Fish species and production in Welsh rivers along a biodiversity gradient (2012 - 2013)","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","danor"],"shortenedDescription":"This dataset consists of fish species, fish length and fish weight from samples taken from small and medium catchments across Wales. Samples were collected in the summers and autumns of 2012 and 2013 using electrofishing. All the collected individuals were counted and..."},{"publicationDate":"2017-04-11T00:00:00.000+00:00","metadataDate":"2026-03-26T13:41:02.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"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."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"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 band per target habitat class (producing a 21 band image).  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. 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","identifier":"505d1e0c-ab60-4a60-b448-68c5bbae403e","incomingCitationCount":10,"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"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."],"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))"],"orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"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"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2015 (1km percentage target class, GB)","version":1.0,"dataFormat":["TIFF"],"view":["public","clamw"],"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..."},{"publicationDate":"2018-03-09T00:00:00.000+00:00","metadataDate":"2026-04-14T10:28:49.000+00:00","altTitle":["MaRIUS-G2G-MORECS-monthly"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960 to 2015.\n\nTo aid interpretation, two additional spatial datasets are provided:\n * Digitally-derived catchment areas on a 1km x 1km grid\n* Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010208/1"],"identifier":"e911196a-b371-47b1-968c-661eb600d83b","incomingCitationCount":4,"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"keyword":["Great Britain","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","Soil moisture","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["G2G","Grid-to-Grid","River flow","Soil moisture","drought"],"licence":"Non-Open government licence","lineage":"The flow and soil moisture estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca ) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.902 49.771, -8.902 58.882, 3.181 58.882, 3.181 49.771, -8.902 49.771))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e911196a-b371-47b1-968c-661eb600d83b","10.5285/e911196a-b371-47b1-968c-661eb600d83b","doi::10.5285/e911196a-b371-47b1-968c-661eb600d83b"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bell V.A,. Kay A.L., Jones R.G., Moore R.J. and Reynard N.S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377, 335-350. "],"supplementalName":["Marius project website"],"title":"Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-monthly]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"dataFormat":["NetCDF"],"view":["public","nuri"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960..."},{"publicationDate":"2024-05-20T00:00:00.000+00:00","metadataDate":"2026-04-22T13:52:05.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"5a28a303-abde-4bdd-b170-942b50d831fd","incomingCitationCount":0,"givenName":["C.G.","R.D.","A.W.","C.S."],"familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"keyword":["Northern Ireland","Land cover","Map","Habitat","Biodiversity Action Plan"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"keywordsOther":["Map","Habitat","Biodiversity Action Plan"],"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))"],"orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5a28a303-abde-4bdd-b170-942b50d831fd","10.5285/5a28a303-abde-4bdd-b170-942b50d831fd","doi::10.5285/5a28a303-abde-4bdd-b170-942b50d831fd"],"availability":"Controlled","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Map 2022 (land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"dataFormat":["SpatiaLite"],"view":["public","crimar"],"shortenedDescription":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel..."},{"publicationDate":"2025-12-18T00:00:00.000+00:00","metadataDate":"2026-03-25T16:54:46.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorGivenName":["Marc S","Ian","James","Colin A","Jo","David B"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"catalogue":"eidc","description":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","identifier":"a70d8b0b-0ef5-484e-8195-42bcfd818229","incomingCitationCount":0,"givenName":["Marc S","Ian","James","Colin A","Jo","David B","Marc"],"familyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"keyword":["Biodiversity","annual","BReVI","butterflies","Lepidoptera"],"keywordsTheme":["Biodiversity"],"keywordsOther":["annual","BReVI","butterflies","Lepidoptera"],"licence":"Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a70d8b0b-0ef5-484e-8195-42bcfd818229","10.5285/a70d8b0b-0ef5-484e-8195-42bcfd818229","doi::10.5285/a70d8b0b-0ef5-484e-8195-42bcfd818229"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2024","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed,..."},{"publicationDate":"2011-08-01T00:00:00.000+00:00","metadataDate":"2026-04-22T14:40:28.000+00:00","altTitle":["SWDown WFD","Surface incident shortwave radiation WFD","Downwards short-wave radiation flux WFD"],"catalogue":"eidc","description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. SWdown or surface incident shortwave radiation is the surface incident shortwave radiation measured in W/m2 at 3 hourly resolution, based on the average over the next 3 hours at the surface and at 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","identifier":"31dd5dd3-85b7-45f3-96a3-6e6023b0ad61","incomingCitationCount":0,"givenName":["Tanya"],"familyName":["Warnaars"],"fullName":["Warnaars, T."],"keyword":["Modelling","Hydrology","land surface","atmosphere","hydrology","meteorology"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["land surface","atmosphere","hydrology","meteorology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315214218724","CEH:EIDC::1315214218724","https://catalogue.ceh.ac.uk/id/31dd5dd3-85b7-45f3-96a3-6e6023b0ad61"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848."],"title":"WATCH forcing data (WFD) - 20th century SWdown (surface incident shortwave radiation) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"dataFormat":["NetCDF"],"view":["public","rjsc"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"..."},{"publicationDate":"2014-08-26T00:00:00.000+00:00","metadataDate":"2026-03-26T13:38:21.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of East Anglia","Institute of Zoology/University of Bristol","Institute of Zoology"],"authorGivenName":["C.","A.F.G.","S.","M.S.","W.C.","J.","J.W."],"authorFamilyName":["Carvell","Bourke","Dreier","Heard","Jordan","Sumner","Wang","Redhead"],"authorFullName":["Carvell, C.","Bourke, A.F.G.","Dreier, S.","Heard, M.S.","Jordan, W.C.","Sumner, S.","Wang, J.","Redhead, J.W."],"authorOrcid":["https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18"],"catalogue":"eidc","description":"This dataset contains locations of worker bumblebees of five species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum, B. ruderatus) across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Locations were recorded in the field using a handheld GPS unit. Workers were non-lethally DNA sampled between June and August 2011, and genetic analysis used to confirm species and assign individuals to full-sib groups (colonies). Data were collected as part of a project led by the Centre for Ecology & Hydrology, funded under the Insect Pollinators Initiative.","documentType":"GEMINI_DOCUMENT","identifier":"a60f52b8-0f9f-44f6-aca4-861cb461a0eb","incomingCitationCount":3,"givenName":["Claire","C.","A.F.G.","S.","M.S.","W.C.","J.","J.W."],"familyName":["Carvell","Bourke","Dreier","Heard","Jordan","Sumner","Wang","Redhead"],"fullName":["Carvell, C.","Bourke, A.F.G.","Dreier, S.","Heard, M.S.","Jordan, W.C.","Sumner, S.","Wang, J.","Redhead, J.W."],"keyword":["Buckinghamshire","Pollinators","Insect Pollinators Initiative","bumblebee","bumble bee","Common Carder Bee"],"keywordsPlace":["Buckinghamshire"],"keywordsTheme":["Pollinators"],"keywordsOther":["Insect Pollinators Initiative","bumblebee","bumble bee","Common Carder Bee"],"licence":"Open government licence","lineage":"Worker locations were recorded in the field using a handheld GPS (Garmin Etrex 10, accurate to 3m). Worker bumblebee DNA was sampled non-lethally, stored, extracted, genotyped and individuals assigned to species and full-sib groups (colonies) using recognised standard protocols. Data were checked for errors at all stages by staff at the Centre for Ecology & Hydrology and at the Institute of Zoology.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"orcid":["https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of East Anglia","Institute of Zoology/University of Bristol","Institute of Zoology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1407916526656","CEH:EIDC::1407916526656","https://catalogue.ceh.ac.uk/id/a60f52b8-0f9f-44f6-aca4-861cb461a0eb","10.5285/a60f52b8-0f9f-44f6-aca4-861cb461a0eb","doi::10.5285/a60f52b8-0f9f-44f6-aca4-861cb461a0eb"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/026k5mg93","https://ror.org/05skxkv18","https://ror.org/04xw4m193"],"state":"published","title":"Location data of worker bumblebees across an agricultural landscape in Buckinghamshire, UK","topic":["0/Pollinators/"],"version":1.0,"dataFormat":["Shapefile"],"view":["public","rjsc"],"shortenedDescription":"This dataset contains locations of worker bumblebees of five species (Bombus terrestris, B. lapidarius, B. pascuorum, B. hortorum, B. ruderatus) across an agricultural landscape centred on the Hillesden Estate, Buckinghamshire, UK. Locations were recorded in the field..."},{"publicationDate":"2022-10-31T00:00:00.000+00:00","metadataDate":"2026-03-26T13:33:19.000+00:00","catalogue":"eidc","description":"Land Cover Map 2021 (LCM2021) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2021. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2021.\n\nLCM2021 includes four geospatial datasets each for Great Britain and Northern Ireland:\n - 10 m Classified Pixel dataset, classified to create a single mosaic of national cover\n - Land Parcel datasets which are the result of intersecting the 10 m Classified Pixel dataset with the UKCEH Land Parcel Spatial Framework to generate land parcel attributes\n - 25 m Pixel Rasterised Land Parcel datasets: the result of rasterising the Land Parcel dataset into 25 m pixels\n - 1 km summary raster products, summarising dominant land cover class and percentage coverage of each land cover class\n\nLCM2021 is the ninth UK land cover map produced by UKCEH. Previous versions are LCM1990, 2000, 2007, 2015, 2017, 2018, 2019 and 2020.","documentType":"GEMINI_DOCUMENT","identifier":"017313c6-954b-4343-8784-3d61aa6e44da","incomingCitationCount":0,"givenName":["Chris"],"familyName":["Marston"],"fullName":["Marston, C."],"licence":"Non-Open government licence","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/017313c6-954b-4343-8784-3d61aa6e44da"],"availability":"Unknown","resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"state":"published","title":"Land Cover Map 2021","version":1.0,"view":["public","phtr"],"shortenedDescription":"Land Cover Map 2021 (LCM2021) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2021. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2021.\n\nLCM2021 includes four geospatial..."},{"publicationDate":"2024-09-12T00:00:00.000+00:00","metadataDate":"2026-04-14T10:27:44.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["R.","M.C.","D.B."],"authorFamilyName":["Hutchinson","Harvey","Roy"],"authorFullName":["Hutchinson, R.","Harvey, M.C.","Roy, D.B."],"authorOrcid":["https://orcid.org/0009-0001-7901-3052","https://orcid.org/0000-0001-7512-2449","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset provides habitat data from unstructured biological records made through iRecord. This dataset includes records between 1812 and 2024, however the majority of the data is from recent years. Records are from England, the Isle of Man, Northern Ireland, Scotland and Wales, and are at 1 km square resolution or more precise. The habitat data was entered by volunteers alongside traditional records of individual taxa, with the taxonomic data being the focus of the record. \nThis dataset includes the year of the recording event (or a year range), the grid reference of the record, whether the taxa associated with the record have been verified as correct, and the European Nature Information System (EUNIS) habitat category recorded.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Joint Nature Conservation Committee"],"identifier":"464dee85-d724-45ed-b9dd-2e7a6f65c7dd","incomingCitationCount":0,"givenName":["R.","M.C.","D.B."],"familyName":["Hutchinson","Harvey","Roy"],"fullName":["Hutchinson, R.","Harvey, M.C.","Roy, D.B."],"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Isle of Man","Biodiversity","EUNIS","citizen science","biological recording","habitat"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland","Isle of Man"],"keywordsTheme":["Biodiversity"],"keywordsOther":["EUNIS","citizen science","biological recording","habitat"],"licence":"Open government licence","lineage":"Data was entered into iRecord by recorders (most of whom are volunteers), with this dataset only including data from survey forms that support a drop-down menu of EUNIS habitat categories. Examples of these forms include https://irecord.org.uk/enter-casual-record and https://irecord.org.uk/enter-record-list . Verifiers for taxon recording schemes verified the records, focusing on the identification of the species and spatial accuracy. The verification decisions on occurrences within each sample are listed within the dataset. The habitats associated with the records have not been subject to any verification checks and are known to contain some errors (such as coastal habitats being linked to inland species records).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0009-0001-7901-3052","https://orcid.org/0000-0001-7512-2449","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/464dee85-d724-45ed-b9dd-2e7a6f65c7dd","10.5285/464dee85-d724-45ed-b9dd-2e7a6f65c7dd","doi::10.5285/464dee85-d724-45ed-b9dd-2e7a6f65c7dd"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Habitat records associated with unstructured species records from the iRecord online survey recording tool, UK, 1812-2024","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","simgil"],"shortenedDescription":"This dataset provides habitat data from unstructured biological records made through iRecord. This dataset includes records between 1812 and 2024, however the majority of the data is from recent years. Records are from England, the Isle of Man, Northern Ireland, Scotland..."},{"publicationDate":"2010-11-02T00:00:00.000+00:00","metadataDate":"2026-03-26T13:40:37.000+00:00","authorAffiliation":["Cranfield University","The Open University"],"authorGivenName":["H.","J."],"authorFamilyName":["Posthumus","Rouquette"],"authorFullName":["Posthumus, H.","Rouquette, J."],"authorRor":["https://ror.org/05cncd958","https://ror.org/05mzfcs16"],"catalogue":"eidc","description":"Hydrological monitoring data in this data collection result from dipwells installed at studied flood defence scheme, where electronic gauges monitored water-table fluctuations over time. Ecological data contain species sighting records of birds, butterflies, dragonflies and damselflies recorded during site visits to flood defence schemes in summer 2007. These data aim to show the relationship between water regimes and habitat potential.The study is part of the NERC Rural Economy and Land Use (RELU) programme. Agricultural Flood Defence Schemes in floodplain and coastal areas were once an important element of Government support for farmers in Britain. More recently, however, changing priorities in the countryside, concern about environmental quality and perceptions of increased flood risk in lowland areas, in part linked to climate change, have promoted a re-appraisal of land management options and policies for floodplain areas. Eight agricultural flood defence schemes, previously studied by the research team in the 1980s, have been re-examined to identify and explain changes in land and water management that have occurred over the last 40-years. This involved stakeholder and institutional analysis, farmer interviews, ecological surveys, field observations and modelling of hydrological and related ecological processes. Generic land use scenarios have been developed to consider management options that focus on single objectives, such as maximising agricultural production, maximising biodiversity and minimising flood risk in the catchment. The scenarios examined the impacts of changes in rural land use on ecosystem goods and services. The influence of agricultural policy, interacting with farmer circumstances and motivation, on land use has also been explored. The project also evaluated the impacts of the summer 2007 floods on agriculture and rural communities. The results revealed opportunities for achieving a wide range of benefits relating to farming, biodiversity, amenity, flood management, water quality and the wider rural economy. The study informed strategies for floodplain management, helping to develop approaches that are appealing to major stakeholders. Historical data on the studied flood defence schemes, farm business survey data and interviews with farmers at flood defence schemes, and interviews with farmers and rural businesses affected by summer floods in 2007 are available at the UK Data Archive under study number 6377 (see related resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).","documentType":"GEMINI_DOCUMENT","identifier":"84ab73ec-f52b-4aa3-a896-d303bb0b5aa5","incomingCitationCount":0,"givenName":["J.","D.","H.","T.","P."],"familyName":["Morris","Gowing","Posthumus","Hess","Rouquette","Trawick"],"fullName":["Morris, J.","Gowing, D.","Posthumus, H.","Hess, T.","Rouquette, J.","Trawick, P."],"keyword":["agricultural policy","biodiversity","ecology","farmers","farms","floods","land drainage","land management","rural economics","water damage","Integrated Floodplain Management","Rural Economy and Land Use Programme","RELU"],"keywordsOther":["agricultural policy","biodiversity","ecology","farmers","farms","floods","land drainage","land management","rural economics","water damage","Integrated Floodplain Management","Rural Economy and Land Use Programme","RELU"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0017 Hydrological monitoring data in this data collection result from dipwells installed in one representative field for each flood defence scheme studied. Electronic gauges monitored water-table fluctuations over time. A further gauge was installed in the adjacent watercourse. These field water-table records at a temporal resolution of 1 hour over approx 2 years, were used to calibrate and validate a model to simulate field water-table depth from weather, soils and water course levels. Ecological data in this collection are based on the habitat classification system (JNCC Phase 1 and 2) to show the relationship between water regimes (surface flooding and soil-water-table depth) and habitat potential, with particular reference to vegetation. The links between vegetation and the diversity of fauna were made at the landscape scale, allowing for the size, connectivity and degree of disturbance of the site. Existing wildlife habitats and species occurrence were recorded for each site, recording birds, butterflies , dragonflies and damselflies, as well as their potential for enhancement. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0017 Hydrological monitoring data in this data collection result from dipwells installed in one representative field for each flood defence scheme studied. Electronic gauges monitored water-table fluctuations over time. A further gauge was installed in the adjacent watercourse. These field water-table records at a temporal resolution of 1 hour over approx 2 years, were used to calibrate and validate a model to simulate field water-table depth from weather, soils and water course levels. Ecological data in this collection are based on the habitat classification system (JNCC Phase 1 and 2) to show the relationship between water regimes (surface flooding and soil-water-table depth) and habitat potential, with particular reference to vegetation. The links between vegetation and the diversity of fauna were made at the landscape scale, allowing for the size, connectivity and degree of disturbance of the site. Existing wildlife habitats and species occurrence were recorded for each site, recording birds, butterflies , dragonflies and damselflies, as well as their potential for enhancement.","locations":["POLYGON((-3.39 50.86, -3.39 55, 0.42 55, 0.42 50.86, -3.39 50.86))"],"organisation":["Cranfield University","The Open University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1290428932574","CEH:EIDC::1290428932574","https://catalogue.ceh.ac.uk/id/84ab73ec-f52b-4aa3-a896-d303bb0b5aa5"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/05cncd958","https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["UKDA hosted RELU Knowledge Portal"],"supplementalName":["UK Data Service project page","RELU Knowledge Portal"],"title":"Integrated Floodplain Management - ecology & hydrology data, 2006-2008","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","veerle@essex.ac.uk"],"shortenedDescription":"Hydrological monitoring data in this data collection result from dipwells installed at studied flood defence scheme, where electronic gauges monitored water-table fluctuations over time. Ecological data contain species sighting records of birds, butterflies, dragonflies..."},{"publicationDate":"2022-11-15T00:00:00.000+00:00","metadataDate":"2026-03-09T17:27:53.000+00:00","authorAffiliation":["University of Huddersfield"],"authorGivenName":["T.A.G."],"authorFamilyName":["Smyth"],"authorFullName":["Smyth, T.A.G."],"authorOrcid":["https://orcid.org/0000-0002-1740-762X"],"authorRor":["https://ror.org/05t1h8f27"],"catalogue":"eidc","description":"This data contains values of bare sand area, modelled wind speed, aspect and slope at a 2.5 m spatial resolution for four UK coastal dune fields, Abberfraw (Wales), Ainsdale (England), Morfa Dyffryn (Wales), Penhale (England). Data is stored as a .csv file. Data is available for 620,756.25 m2 of dune at Abberfraw, 550,962.5 m2 of dune at Ainsdale, 1,797,756.25 m2 of dune at Morfa Dyffryn and 2,275,056.25 m2 of dune at Penhale. All values were calculated from aerial imagery and digital terrain models collected between 2014 and 2016.\n\nFor each location, areas of bare sand were mapped in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using a steady state computational fluid dynamics (CFD).\n\nData was collected to statistically test the relationship between bare sand and three abiotic physical factors on coastal dunes (wind speed, dune slope and dune slope aspect). Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Wind speed data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield). ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/T00410X/1"],"identifier":"972599af-0cc3-4e0e-a4dc-2fab7a6dfc85","incomingCitationCount":0,"givenName":["T.A.G."],"familyName":["Smyth"],"fullName":["Smyth, T.A.G."],"keyword":["coastal area","sand dune","remote sensing","image classification"],"keywordsOther":["coastal area","sand dune","remote sensing","image classification"],"licence":"Open government licence","lineage":"For each location, areas of bare sand were created in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB vertical aerial images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using computational fluid dynamics (CFD).\n\nVertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield)","locations":["POLYGON((-5.713 49.864, -5.713 55.379, 2.373 55.379, 2.373 49.864, -5.713 49.864))"],"orcid":["https://orcid.org/0000-0002-1740-762X"],"organisation":["University of Huddersfield","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85","10.5285/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85","doi::10.5285/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Huddersfield"],"ror":["https://ror.org/05t1h8f27","https://ror.org/04xw4m193"],"state":"published","title":"Bare sand, wind speed, aspect and slope at four English and Welsh coastal sand dunes, 2014-2016","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","tinzha"],"shortenedDescription":"This data contains values of bare sand area, modelled wind speed, aspect and slope at a 2.5 m spatial resolution for four UK coastal dune fields, Abberfraw (Wales), Ainsdale (England), Morfa Dyffryn (Wales), Penhale (England). Data is stored as a .csv file. Data is..."},{"publicationDate":"2013-02-08T00:00:00.000+00:00","metadataDate":"2026-03-09T17:35:24.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","ETH Zurich"],"authorGivenName":["B.","C.","J."],"authorFamilyName":["Reynolds","Neal","Kirchner"],"authorFullName":["Reynolds, B.","Neal, C.","Kirchner, J."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset includes weekly data from monitoring of stream, rainfall and groundwater hydrochemistry in the Vyrnwy research catchment between 1994 and 2001. Data for over 50 chemical determinands are presented alongside data for some in-situ measurements such as water temperature. Full descriptions of the analytical methods used for each determinand is included. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research; other linked datasets include river flow, meteorology and a variety of detailed spatial datasets representing the topography, soils and rivers of the catchments. Monitoring is funded by the Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","identifier":"68f4a12f-740d-4705-9c27-6a7fb7127046","incomingCitationCount":0,"givenName":["D.","B.","C.","J."],"familyName":["Norris","Reynolds","Neal","Kirchner"],"fullName":["Norris, D.","Reynolds, B.","Neal, C.","Kirchner, J."],"keyword":["Vyrnwy","Wales","United Kingdom","Water quality","rainfall","stream","groundwater","river"],"keywordsPlace":["Vyrnwy","Wales","United Kingdom"],"keywordsTheme":["Water quality"],"keywordsOther":["rainfall","stream","groundwater","river"],"licence":"Non-Open government licence","lineage":"Originally designed to improve understanding of water use by coniferous forests, monitoring within the Plynlimon/Vyrnwy research catchments has subsequently developed into a multi-disciplinary project underpinning a wealth of hydrological research. The stream hydrochemistry dataset is a combination of chemical determinands and in-situ physical properties. Samples are taken on an approximately weekly basis and analysed in laboratories for approximately 50 chemical determinands. The laboratory analysis has been undertaken at different locations using different equipment during the years of monitoring represented within the dataset. Details of the analytical methods used for each determinand are included within the dataset. The information provided is presented as raw data which have not been modified to include \"less than\" values when the numbers are less than the lowest quotable value. This is done so as to allow the data to be used for research purposes including detailed statistical analysis where inclusion of less than values would be problematic. The data are thus \"uncensored\" for research purposes and include in places values that are negative due to analytical uncertainties and the extremely low concentrations of some of the determinands. The data are provided in good faith with the expectation that they will be used in a positive and constructive manner. It is up to the user to resolve which way to use and interpret the data and information on full methodologies and less than values is provided within the metadata files. We whole heartedly encourage the use of these data for research and educational purposes bearing in mind that it is uncensored data and that over the years research directions have evolved to reflect changing project and funding priorities while analytical methodologies have changed. The data provide a legacy from many years' research involving scientists, analysts and field workers who in many cases have now retired. While we have done our best to provide all the information possible, in many cases it will be not be possible to respond to detailed enquiries about the earlier parts of the record. ","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","ETH Zurich","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1359546603078","CEH:EIDC::1359546603078","https://catalogue.ceh.ac.uk/id/68f4a12f-740d-4705-9c27-6a7fb7127046","10.5285/68f4a12f-740d-4705-9c27-6a7fb7127046","doi::10.5285/68f4a12f-740d-4705-9c27-6a7fb7127046"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Neal, C., Reynolds, B., Norris, D., Kirchner, J. W., Neal, M., Rowland, P., … Wright, D. (2011). Three decades of water quality measurements from the Upper Severn experimental catchments at Plynlimon, Wales: an openly accessible data resource for research, modelling, environmental management and education. Hydrological Processes, 25(24), 3818-3830. "],"title":"Vyrnwy research catchment hydrochemistry","topic":["0/Water quality/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","rjsc"],"shortenedDescription":"This dataset includes weekly data from monitoring of stream, rainfall and groundwater hydrochemistry in the Vyrnwy research catchment between 1994 and 2001. Data for over 50 chemical determinands are presented alongside data for some in-situ measurements such as water..."},{"publicationDate":"2020-01-06T00:00:00.000+00:00","metadataDate":"2026-04-28T14:53:31.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.R.","S.J.","R.J.","S.R.","E.J."],"authorFamilyName":["Wallbank","Cole","Moore","Anderson","Mellor"],"authorFullName":["Wallbank, J.R.","Cole, S.J.","Moore, R.J.","Anderson, S.R.","Mellor, E.J."],"authorOrcid":["https://orcid.org/0000-0002-6313-0836","https://orcid.org/0000-0003-4294-8687","https://orcid.org/0000-0001-6291-6661","https://orcid.org/0000-0001-8556-577X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset provides daily estimates of the Snow Water Equivalent (SWE) using data from 46 COSMOS-UK sites across the United Kingdom. One set of estimates is derived from the cosmic ray neutron sensor and provides an estimate of the average SWE within the sensor’s large (>100m) footprint. Other SWE estimates are based on either a snowmelt model, or, for certain sites, either a snow depth sensor or a buried 'SnowFox' neutron sensor. Additionally, daily neutron counts, the albedo, and a collection of figures for each snow event are provided.","documentType":"GEMINI_DOCUMENT","identifier":"e1fa6897-0f09-4472-adab-5d0d7bbc2548","incomingCitationCount":2,"givenName":["J.R.","S.J.","R.J.","S.R.","E.J.","John"],"familyName":["Wallbank","Cole","Moore","Anderson","Mellor"],"fullName":["Wallbank, J.R.","Cole, S.J.","Moore, R.J.","Anderson, S.R.","Mellor, E.J.","Wallbank, J."],"keyword":["Climate and climate change","snow water equivalent","SWE","snow depth","albedo"],"keywordsTheme":["Climate and climate change"],"keywordsOther":["snow water equivalent","SWE","snow depth","albedo"],"licence":"Open government licence","lineage":"The dataset lists data from all snow days, detected through their effect on the measured albedo, from the date of installation of each COSMOS-UK site up to summer 2019. Comparison of the available SWE estimates suggest typical uncertainties (1 standard deviation) of less than about 4mm for both the CRNS and SnowFox estimates, 4mm for the depth-based estimate and 5mm for the snowmelt model.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-6313-0836","https://orcid.org/0000-0003-4294-8687","https://orcid.org/0000-0001-6291-6661","https://orcid.org/0000-0001-8556-577X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e1fa6897-0f09-4472-adab-5d0d7bbc2548","10.5285/e1fa6897-0f09-4472-adab-5d0d7bbc2548","doi::10.5285/e1fa6897-0f09-4472-adab-5d0d7bbc2548"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Snow water equivalent estimates using cosmic-ray neutron sensors in the United Kingdom  (2014-2019)","topic":["0/Climate and climate change/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)","Portable Network Graphics (png)"],"view":["public","clwe"],"shortenedDescription":"This dataset provides daily estimates of the Snow Water Equivalent (SWE) using data from 46 COSMOS-UK sites across the United Kingdom. One set of estimates is derived from the cosmic ray neutron sensor and provides an estimate of the average SWE within the sensor’s..."},{"publicationDate":"2022-11-25T00:00:00.000+00:00","metadataDate":"2026-03-09T17:40:48.000+00:00","authorAffiliation":["University of Oxford","University of Liverpool","University of Helsinki","Uppsala University"],"authorGivenName":["A.","B.E.","T.","J.","S.C.L."],"authorFamilyName":["Raulo","Allen","Troitsky","Husby","Firth","Coulson","Knowles"],"authorFullName":["Raulo, A.","Allen, B.E.","Troitsky, T.","Husby, A.","Firth, J.","Coulson, T.","Knowles, S.C.L."],"authorOrcid":["https://orcid.org/0000-0003-4860-7840","https://orcid.org/0000-0002-3811-8173","https://orcid.org/0000-0001-8394-6229","https://orcid.org/0000-0003-1911-8351","https://orcid.org/0000-0001-7183-4115","https://orcid.org/0000-0001-9371-9003","https://orcid.org/0000-0002-2368-4623"],"authorRor":["https://ror.org/052gg0110","https://ror.org/04xs57h96","https://ror.org/040af2s02","https://ror.org/048a87296"],"catalogue":"eidc","description":"This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term capture-mark-recapture study, three species of rodents were trapped with Sherman live-traps fortnightly for 12 months: wood mouse (Apodemus sylvaticus), yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glaerolus). Upon capture, they were measured, weighted, sexed, aged and a tissue sample and a faecal sample were collected from all mouse individuals for genetic and microbiome analyses. All rodents were released to their location of capture. First time each individual was captured, they were injected with a permanent subcutaneous identification  Radio-Frequency Identification(RFID)-tag (Passive Integrated Transponde-tag). The tagged rodents were subsequently tracked with a set of custom-made tracking devices (loggers). Loggers produced dense time-stamped occurrence data suitable for inferring spatio-temporal activity patterns of rodents, such as temporal niches, home ranges and social networks. Tissue samples were used to genotype the wood mouse population and bacterial DNA extracted from faecal samples were used to profile their gut microbiome composition.\n\nThis work was funded by a NERC independent Research Fellowship to Sarah Knowles (NE/L011867/1)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L011867/1"],"identifier":"c67fde7f-a1c8-4cb4-a76e-0c6d21c82222","incomingCitationCount":1,"givenName":["A.","B.E.","T.","J.","S.C.L."],"familyName":["Raulo","Allen","Troitsky","Husby","Firth","Coulson","Knowles"],"fullName":["Raulo, A.","Allen, B.E.","Troitsky, T.","Husby, A.","Firth, J.","Coulson, T.","Knowles, S.C.L."],"keyword":["Microbiome","microbiota","gut microbiome","trapping","Sherman","mouse","wood mouse","bank vole","yellow-necked mouse","Apodemus","Myodes","RFID-tracking","social network analysis","home range analysis","microsatellites","kinship","pedigree","animal genetics","rodent"],"keywordsOther":["Microbiome","microbiota","gut microbiome","trapping","Sherman","mouse","wood mouse","bank vole","yellow-necked mouse","Apodemus","Myodes","RFID-tracking","social network analysis","home range analysis","microsatellites","kinship","pedigree","animal genetics","rodent"],"licence":"Open government licence","lineage":"Wild rodents were trapped fortnightly, tagged and continuously monitored with tracking technology for one year.  This is a natural rodent population and no experimental manipulations were made. Upon capture, faecal samples were collected from the rodents and a piece of ear tissue was collected upon first capture of each individual. Tissue samples were stored in ethanol in -20 C and faecal samples were stored without buffer in -80 C for 3 years. In 2017 DNA was extracted from the faecal samples of wood mice and their gut microbiome was characterised from this by amplification and sequencing of the V3 region of bacterial 16S rRNA marker gene. In 2018 the wood mouse population was genotyped and their pedigree reconstructed from ear tissue samples using 11 microsatellite markers. Details of the data and the cleaning process can be found from the supporting documentation.","locations":["POLYGON((-0.66 51.398, -0.66 51.422, -0.633 51.422, -0.633 51.398, -0.66 51.398))"],"orcid":["https://orcid.org/0000-0003-4860-7840","https://orcid.org/0000-0002-3811-8173","https://orcid.org/0000-0001-8394-6229","https://orcid.org/0000-0003-1911-8351","https://orcid.org/0000-0001-7183-4115","https://orcid.org/0000-0001-9371-9003","https://orcid.org/0000-0002-2368-4623"],"organisation":["University of Oxford","University of Liverpool","University of Helsinki","Uppsala University","NERC EDS Environmental Information Data Centre","Imperial College London"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222","10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222","doi::10.5285/c67fde7f-a1c8-4cb4-a76e-0c6d21c82222"],"availability":"Available","resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/052gg0110","https://ror.org/04xs57h96","https://ror.org/040af2s02","https://ror.org/048a87296","https://ror.org/04xw4m193","https://ror.org/041kmwe10"],"state":"published","title":"Wild rodent trapping, tracking and sampling for genetics and gut microbiome, Silwood Park, Berkshire, November 2014 to November 2015","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","margla"],"shortenedDescription":"This data set is a combination of trapping data, tracking data and data on the genetic relatedness and gut microbiome composition of wild rodents caught in 2.3 ha study site in Nash’s Copse, Silwood Park, from November 2014 to November 2015. As part of a longer-term..."},{"publicationDate":"2022-03-11T00:00:00.000+00:00","metadataDate":"2026-04-14T10:29:05.000+00:00","authorAffiliation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London"],"authorGivenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V."],"authorFamilyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"authorFullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J."],"authorOrcid":["https://orcid.org/0000-0002-0883-3440","https://orcid.org/0000-0003-2896-1631","https://orcid.org/0000-0002-4607-9901","https://orcid.org/0000-0002-9765-2907","https://orcid.org/0000-0002-3058-919X","https://orcid.org/0000-0001-8077-5452","https://orcid.org/0000-0002-3176-8130","https://orcid.org/0000-0002-5999-0307"],"authorRor":["https://ror.org/02bfwt286","https://ror.org/0524sp257","https://ror.org/03a64bh57","https://ror.org/01c27hj86","https://ror.org/02jv3k292","https://ror.org/01x8hew03","https://ror.org/052gg0110","https://ror.org/05290cv24","https://ror.org/02jx3x895"],"catalogue":"eidc","description":"This dataset contains survival, growth and leaf morphology data for multiple clones of c. 40 genotypes of two species of Senecio. The two Senecio species are native to low (S. chrysanthemifolius) and high elevations (S. aethnensis) on Mount Etna. Genotypes were propagated in a glasshouse and multiple clones of each genotype were then transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount Etna in June-July 2017 before measurements were taken. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P001793/1"],"identifier":"11bad517-507b-4b8f-9944-2c2e16e4e8c6","incomingCitationCount":0,"givenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V.","Greg"],"familyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"fullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J.","Walter, G."],"keyword":["Transplant experiment","Plasticity","Mt. Etna","Senecio"],"keywordsOther":["Transplant experiment","Plasticity","Mt. Etna","Senecio"],"licence":"Open government licence","lineage":"For the morphological measurements, leaves were scanned and the software Lamina used to generate the measurements. Survival was measured by checking for dead plants regularly and then calculating the total days that each plant survived following their initial transplant. To measure growth, in November (c. 4-5 months after the initial transplant) plant height was measured (in mm) using a ruler.","locations":["POLYGON((15.08 37.63, 15.08 37.7, 14.99 37.7, 14.99 37.63, 15.08 37.63))"],"orcid":["https://orcid.org/0000-0002-0883-3440","https://orcid.org/0000-0003-2896-1631","https://orcid.org/0000-0002-4607-9901","https://orcid.org/0000-0002-9765-2907","https://orcid.org/0000-0002-3058-919X","https://orcid.org/0000-0001-8077-5452","https://orcid.org/0000-0002-3176-8130","https://orcid.org/0000-0002-5999-0307"],"organisation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11bad517-507b-4b8f-9944-2c2e16e4e8c6","10.5285/11bad517-507b-4b8f-9944-2c2e16e4e8c6","doi::10.5285/11bad517-507b-4b8f-9944-2c2e16e4e8c6"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/02bfwt286","https://ror.org/0524sp257","https://ror.org/03a64bh57","https://ror.org/01c27hj86","https://ror.org/02jv3k292","https://ror.org/01x8hew03","https://ror.org/052gg0110","https://ror.org/05290cv24","https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"state":"published","title":"Field transplant of two contrasting Senecio wildflower species across an elevational gradient on Mount Etna, Sicily 2017","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"This dataset contains survival, growth and leaf morphology data for multiple clones of c. 40 genotypes of two species of Senecio. The two Senecio species are native to low (S. chrysanthemifolius) and high elevations (S. aethnensis) on Mount Etna. Genotypes were propagated..."},{"publicationDate":"2023-06-19T00:00:00.000+00:00","metadataDate":"2026-03-26T13:34:24.000+00:00","authorAffiliation":["University of St Andrews","University of Leeds","Instituto de Investigaciones de la Amazonía Peruana","Charles University","University of Edinburgh"],"authorGivenName":["I.T.","C.","T.R.","C.J.","G.C.","J.","A.","E.N.","E.T.","K.H.","M."],"authorFamilyName":["Lawson","Åkesson","Baker","Cordova Oroche","Dargie","del Aguila-Pasquel","Grandez Ríos","Hastie","Honorio Coronado","Mitchard","Roucoux","Reyna Huaymacari","Williams"],"authorFullName":["Lawson, I.T.","Åkesson, C.","Baker, T.R.","Cordova Oroche, C.J.","Dargie, G.C.","del Aguila-Pasquel, J.","Grandez Ríos, J.","Hastie, A.","Honorio Coronado, E.N.","Mitchard, E.T.","Roucoux, K.H.","Reyna Huaymacari, J.","Williams, M."],"authorOrcid":["https://orcid.org/0000-0002-3547-2425","https://orcid.org/0000-0002-3251-1679","https://orcid.org/0000-0002-0692-3186","https://orcid.org/0000-0003-2098-3510","https://orcid.org/0000-0003-2314-590X"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/024mrxd33","https://ror.org/010ywy128","https://ror.org/024d6js02","https://ror.org/01nrxwf90"],"catalogue":"eidc","description":"Data on peat depth from >250 locations in the Pastaza-Marañón Basin, Amazonian Peru. The data were collected during a series of field campaigns in 2019 and 2020. These data, along with similar data collected under other projects, were used to train a predictive model of peat distribution. 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