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Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also provided.\n\nThe model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes in the period, and describes how many times infection could have been completed within running 48 hour periods through the year.\n\nThis research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).","documentType":"GEMINI_DOCUMENT","familyName":["Purse"],"fullName":["Purse, B."],"givenName":["B."],"identifier":"da198f95-d93d-4759-bf51-6ec0b8bdfaee","incomingCitationCount":0,"keyword":["Modelling","Phytophthora ramorum","Phytophthora kernoviae "],"keywordsOther":["Phytophthora ramorum","Phytophthora kernoviae "],"keywordsTheme":["Modelling"],"licence":"Non-Open government licence","locations":["POLYGON((-12.622 47.654, -12.622 60.985, 6.981 60.985, 6.981 47.654, -12.622 47.654))"],"metadataDate":"2026-08-12T12:00:27.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-15T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/da198f95-d93d-4759-bf51-6ec0b8bdfaee"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service shows the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK.  Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also…","state":"published","title":"Web Map Service of Climate suitability for Phytophthora ramorum and Phytophthora kernoviae infection in the UK","topic":["0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Radboud University ","University of Southampton"],"authorFamilyName":["Robroek","Shepherd","Sahar","Dumont"],"authorFullName":["Robroek, B.J.M.","Shepherd, H.E.R.","Sahar, N.E.","Dumont, M.G."],"authorGivenName":["B.J.M.","H.E.R.","N.E.","M.G."],"authorOrcid":["0000-0002-6714-0652","0000-0002-7077-3581","0000-0002-7347-8668"],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire: approximately 3 months, 10 months and 12 months post-fire. This was taken at two depths: 0 – 5cm from the surface (top) and 5 – 10 cm from the surface (bottom). The 10 plots were divided into two groups of five, one that was observed to have suffered a light burn (termed shallow burn) and one that received a more severe burn (termed deep burn). Five additional plots were sampled at the same time as the 3-month samples from a neighbouring unburned site (termed control plots). Samples where no ASVs were observed were removed from the dataset. ","documentType":"GEMINI_DOCUMENT","familyName":["Robroek","Shepherd","Sahar","Dumont"],"fullName":["Robroek, B.J.M.","Shepherd, H.E.R.","Sahar, N.E.","Dumont, M.G.","Robroek, B."],"funder":["Natural Environment Research Council"],"givenName":["B.J.M.","H.E.R.","N.E.","M.G.","Bjorn"],"grant":["NE/S011943/1"],"identifier":"01ced3c2-17c6-4512-b73b-e065afed7bad","incomingCitationCount":0,"keyword":["Blanket bog","Moorland","Peatland","16S rRNA ","Bacterial Amplicon Sequence Variant","DNA","bog","peat"],"keywordsOther":["Blanket bog","Moorland","Peatland","16S rRNA ","Bacterial Amplicon Sequence Variant","DNA","bog","peat"],"licence":"Open government licence","lineage":"DNA was extracted from the peat soil using the QIAGEN DNeasy powersoil kit, following standard manual specifications.  The extracted DNA was then sequenced through the use of high-throughput sequencing, using 515F/806R primers that target the V4 region of the 16S rRNA. Results from the sequencing were then cleaned and prepared using the DADA2 pipeline to produce the ASV table.","locations":["POLYGON((-1.966 53.542, -1.966 53.546, -1.942 53.546, -1.942 53.542, -1.966 53.542))"],"metadataDate":"2026-07-24T18:51:45.000Z","orcid":["0000-0002-6714-0652","0000-0002-7077-3581","0000-0002-7347-8668"],"organisation":["Radboud University ","University of Southampton","NERC EDS Environmental Information Data Centre","Radboud University"],"publicationDate":"2022-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/01ced3c2-17c6-4512-b73b-e065afed7bad","10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad","doi:10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad"],"resourceType":"Dataset","rightsHolder":["Radboud University"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193","https://ror.org/016xsfp80"],"shortenedDescription":"This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire:…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"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."],"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."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (length) data for landscape linear features across Great Britain in 1990. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 506 km squares, surveyed for the Countryside Survey long term monitoring project (note: not all surveyed squares contained linear features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. 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 linear features, habitat areas, vegetation species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","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."],"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"],"identifier":"311daad4-bc8c-485a-bc8a-e0d054889219","incomingCitationCount":1,"keyword":["Great Britain","Countryside Survey","Environmental survey","fences ","walls ","tree lines ","grass strips ","banks ","woody linear features","hedge"],"keywordsOther":["fences ","walls ","tree lines ","grass strips ","banks ","woody linear features","hedge"],"keywordsPlace":["Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by professional surveyors using standard methodologies (refer to the online documentation). Data were recorded from 506 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000 by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:33:56.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"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":"2016-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/311daad4-bc8c-485a-bc8a-e0d054889219","10.5285/311daad4-bc8c-485a-bc8a-e0d054889219","doi:10.5285/311daad4-bc8c-485a-bc8a-e0d054889219"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for landscape linear features across Great Britain in 1990. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 506 km squares,…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Landscape linear feature data 1990 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Lactuca: Environmental Data Analyses and Modelling","Rothamsted Research "],"authorFamilyName":["Ridding","Hooftman","Redhead","Willcock"],"authorFullName":["Ridding, L.E.","Hooftman, D.A.P.","Redhead, J.W.","Willcock, S."],"authorGivenName":["L.E.","D.A.P.","J.W.","S."],"authorOrcid":["0000-0003-3141-8795","0000-0001-9835-6897","0000-0002-2233-3848","0000-0001-9534-9114"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains recreation demand maps for the UK based on weekly, monthly and yearly visit frequencies. Recreation includes activities such as walking, hiking, cycling, etc, i.e., ‘outdoor non-vehicular recreation’. Recreation demand was calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility (Schläpfer et al., 2021, Nature). Recreation demand maps are supplied at 250 m resolution in a British National Grid transverse Mercator projection (EPSG 27700). For each visit frequency (weekly, monthly and yearly), there is a map with and without attractiveness included in the calculation, where protected areas are used a proxy for attractiveness.\n\nThis research was funded by the Natural Environment Research Council (NERC) under research programme NE/W005050/1 AgZero+ : Towards sustainable, climate-neutral farming. AgZero+ is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Hooftman","Redhead","Willcock"],"fullName":["Ridding, L.E.","Hooftman, D.A.P.","Redhead, J.W.","Willcock, S."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["L.E.","D.A.P.","J.W.","S."],"grant":["NE/W005050/1"],"identifier":"bd3bf607-a3b2-423b-b07b-9c41e84746ee","incomingCitationCount":2,"keyword":["UK","AgZero+","Mapping","accessibility","protected areas","natural areas protection","mapping","landscape","cultural ecosystem services","recreation"],"keywordsOther":["accessibility","protected areas","natural areas protection","mapping","landscape","cultural ecosystem services","recreation"],"keywordsPlace":["UK"],"keywordsProject":["AgZero+"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"Predicted recreation demand was expressed as the total number of projected visits for local recreation in target cells. To estimate the total number of projected visits in each 250 m target cell, a bespoke version of the universal law of human mobility was used (Schläpfer et al., 2021), as seen in the function below:\n\nDemand_i = Attractiveness_i × ∑ |j=1 to j= all| [(Population_j) / ((Frequency_ij × Traveling distance_ij)^∝)]\n\nwith i the target cell, j the source cell and the scaling factor α = 2.17, following Schläpfer et al. (2021); frequency is expressed as number of visits per year; travelling distance in kilometres.\n\nThe distance decay gravity function considers the number of visits to single target cells (i) depending on the \"Population\" size in a source cell (j), corrected by the \"Traveling distance\" from that source cell to the target cell and the \"Attractiveness\" of the target cell – the assumed relative likelihood of visiting that target cell. Traveling distance was estimated non-Euclidean, as a cost-weighted distance using the UK road network in 2.5 km cells and the distance to the nearest road within cells. The number of visits per year from the source cell to the target cell, i.e. the Frequency, is also included (weekly, monthly and yearly), since people tend to visit more often where there is a shorter distance to travel. Thus, for a given distance more predicted visits will arise from more densely populated cells compared with less populated cells, whereas at shorter distances more visits are predicted than at longer distances for a given source population density. For each target cell, the equation is summed over all potential source cells. See documentation accompanying the data for a detailed description of the data used for each parameter in the equation. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-03T08:57:05.000Z","orcid":["0000-0003-3141-8795","0000-0001-9835-6897","0000-0002-2233-3848","0000-0001-9534-9114"],"organisation":["UK Centre for Ecology & Hydrology","Lactuca: Environmental Data Analyses and Modelling","Rothamsted Research ","NERC EDS Environmental Information Data Centre","Rothamsted Research"],"publicationDate":"2023-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd3bf607-a3b2-423b-b07b-9c41e84746ee","10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee","doi:10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee"],"resourceType":"Dataset","rightsHolder":["Rothamsted Research"],"ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains recreation demand maps for the UK based on weekly, monthly and yearly visit frequencies. Recreation includes activities such as walking, hiking, cycling, etc, i.e., ‘outdoor non-vehicular recreation’. Recreation demand was calculated as the number…","state":"published","supplementalName":["Schläpfer, M., Dong, L., O’Keeffe, K., Santi, P., Szell, M., Salat, H., Anklesaria, S., Vazifeh, M., Ratti, C., West, G.B., 2021. The universal visitation law of human mobility. Nature 593, 522–527"],"title":"Weekly, monthly and yearly recreation demand maps for the UK","topic":["0/Mapping/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Bristol","UK Centre for Ecology & Hydrology","Newcastle University","British Geological Survey","Environment Agency","University of Manchester","Utrecht University"],"authorFamilyName":["Coxon","Zheng","Barbedo","Cooper","Fileni","Fowler","Fry","Green","Gribbin","Harfoot","Lewis","Qiu","Salwey","Wendt","Ribeiro Neto"],"authorFullName":["Coxon, G.","Zheng, Y.","Barbedo, R.","Cooper, H.","Fileni, F.","Fowler, H.","Fry, M.","Green, A.","Gribbin, T.","Harfoot, H.","Lewis, E.","Qiu, X.","Salwey, S.","Wendt, D.E.","Ribeiro Neto, G."],"authorGivenName":["Gemma","Yanchen","Rafael","Hollie","Felipe","Hayley","Matt","Amy","Tom","Helen","Elizabeth","Xiaobin","Saskia","Doris E","Germano"],"authorOrcid":["0000-0002-8837-460X","0000-0002-2212-9134","0000-0002-3910-9244","0000-0002-1382-3407","0000-0001-7260-1946","0000-0001-8848-3606","0000-0003-1142-4039","0000-0002-0306-6457","0009-0001-6905-5822","0009-0002-6095-2356","0000-0001-8840-4621","0009-0007-5901-2283","0000-0002-2100-3142","0000-0003-2315-7871","0000-0002-0823-0885"],"authorRor":["https://ror.org/0524sp257","https://ror.org/00pggkr55","https://ror.org/01kj2bm70","https://ror.org/04a7gbp98","https://ror.org/01zewfb16","https://ror.org/027m9bs27","https://ror.org/04pp8hn57"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile"],"description":"This dataset provides catchment boundaries, hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. \n\nIt collates river flows, river levels, groundwater levels, precipitation, potential evapotranspiration and temperature time series at monthly to hourly timescales.  Daily hydro-meteorological timeseries are provided from 1st October 1970 - 30th September 2022, hourly hydro-meteorological timeseries are provided from 1st October 1990 09:00 to 1st October 2022 08:00, and groundwater level timeseries cover a range of time periods (ranging from 7 to 72 years with the earliest records beginning in the 1950s).\n\nA comprehensive set of catchment attributes are quantified describing a range of catchment characteristics including topography, climate, hydrology, land cover, soils, hydrogeology, hydrometry and human influences.","documentType":"GEMINI_DOCUMENT","familyName":["Coxon","Zheng","Barbedo","Cooper","Fileni","Fowler","Fry","Green","Gribbin","Harfoot","Lewis","Qiu","Salwey","Wendt","Ribeiro Neto"],"fdriCategory":["Meteorology","Hydrology","Geology and soils"],"fdriSpatialScale":"National scale","fdriTimeseriesData":"Timeseries data","fullName":["Coxon, G.","Zheng, Y.","Barbedo, R.","Cooper, H.","Fileni, F.","Fowler, H.","Fry, M.","Green, A.","Gribbin, T.","Harfoot, H.","Lewis, E.","Qiu, X.","Salwey, S.","Wendt, D.E.","Ribeiro Neto, G."],"funder":["Medical Research Council","Natural Environment Research Council","UKRI","European Union"],"givenName":["Gemma","Yanchen","Rafael","Hollie","Felipe","Hayley","Matt","Amy","Tom","Helen","Elizabeth","Xiaobin","Saskia","Doris E","Germano"],"grant":["MR/V022857/1","NE/X018865/1","ST/Y003713/1","101075354","NE/S007512/1"],"identifier":"9a46d428-958f-4ac1-86eb-94eee70c0955","incomingCitationCount":0,"keyword":["Floods and Droughts Digital Research Infrastructure (FDRI)","Hydrology","Climate and climate change","Land cover","Soil","hydrology","climate","geology","soil","land cover","groundwater","catchment","Meteorology","Geology and soils","Timeseries data","National scale"],"keywordsOther":["hydrology","climate","geology","soil","land cover","groundwater","catchment","Meteorology","Hydrology","Geology and soils","Timeseries data","National scale"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Hydrology","Climate and climate change","Land cover","Soil"],"licence":"Open government licence","lineage":"CAMELS-GB provides hydro-meteorological timeseries and catchment attributes for 671 catchments. The data are derived by calculating catchment averages from a range of national products, all of which have been through their own quality assurance procedures. \n\nFor all datasets we have highlighted the key uncertainties and limitations of the underlying source data products and any methods used to derive the catchment attributes. \n\nThis dataset is intended for the community as a freely available, easily accessible dataset to use in a wide range of environmental data and modelling analyses. \n\nIn response to reviewer comments on the accompanying CAMELS-GB v2 data paper in Earth System Science Datasets, some minor changes were made to the dataset. The dataset was updated on 6th May 2026 and includes new data in two of the attribute files and changes how missing values are represented in one of the attribute files so it is consistent across the dataset.  The changes affect three files:\nCAMELS_GB_v2_climatic_attributes.csv - NA values are changed to NaN so they are consistent with the rest of the dataset.\nCAMELS_GB_v2_groundwaterwell_attributes.csv - two new columns of data have been added describing the latitude and longitude of each groundwater well.\nCAMELS_GB_v2_ hydrometry_attributes.csv - four new columns of data have been added describing the quality of the flow data collected at each station (station_quality_pooling, station_quality_qmed, station_quality_hourlyflow_issues, station_quality_hourlyflow_comment).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-01T14:23:43.000Z","orcid":["0000-0002-8837-460X","0000-0002-2212-9134","0000-0002-3910-9244","0000-0002-1382-3407","0000-0001-7260-1946","0000-0001-8848-3606","0000-0003-1142-4039","0000-0002-0306-6457","0009-0001-6905-5822","0009-0002-6095-2356","0000-0001-8840-4621","0009-0007-5901-2283","0000-0002-2100-3142","0000-0003-2315-7871","0000-0002-0823-0885"],"organisation":["University of Bristol","UK Centre for Ecology & Hydrology","Newcastle University","British Geological Survey","Environment Agency","University of Manchester","Utrecht University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9a46d428-958f-4ac1-86eb-94eee70c0955","10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955","doi:10.5285/9a46d428-958f-4ac1-86eb-94eee70c0955"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/00pggkr55","https://ror.org/01kj2bm70","https://ror.org/04a7gbp98","https://ror.org/01zewfb16","https://ror.org/027m9bs27","https://ror.org/04pp8hn57","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides catchment boundaries, hydro-meteorological timeseries and landscape attributes for 671 catchments across Great Britain. \n\nIt collates river flows, river levels, groundwater levels, precipitation, potential evapotranspiration and temperature time…","state":"published","supplementalDescription":["(Coxon et al, CAMELS-GB v2: Hydrometeorological time series and landscape attributes for 671 catchments in Great Britain) describing the dataset in detail will be made available in Earth System Science Data"],"supplementalName":["Research paper"],"temporalExtentText":"Data collected from 1970 to 2022","title":"Catchment boundaries, daily and sub-daily hydrometeorological time series, groundwater level time series and attributes for 671 catchments in Great Britain (CAMELS-GB v2)","topic":["0/Hydrology/","0/Climate and climate change/","0/Land cover/","0/Soil/"],"version":2.0,"view":["public","tinzha"]},{"authorAffiliation":["Butterfly Conservation","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Cook","Tordoff","Davis","Parsons","Dennis","Fox","Botham","Bourn"],"authorFullName":["Cook, P.M.","Tordoff, G.M.","Davis, A.M.","Parsons, M.S.","Dennis, E.B.","Fox, R.","Botham, M.S.","Bourn, N.A.D."],"authorGivenName":["P.M.","G.M.","A.M.","M.S.","E.B.","R.","N.A.D."],"authorOrcid":["0000-0002-7510-1020","0000-0003-2692-4415","0000-0001-6992-3522","0000-0002-5276-1405","0000-0003-1416-6047"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Here, we present a comprehensive traits database for the butterflies and macro-moths of Great Britain and Ireland. The database covers 968 species in 21 families. Ecological traits fall into four main categories: life cycle ecology and phenology, host plant specificity and characteristics, breeding habitat, and morphological characteristics. The database also contains data regarding species distribution, conservation status, and temporal trends for abundance and occupancy. This database can be used for a wide array of purposes including further fundamental research on species and community responses to environmental change, conservation and management studies, and evolutionary biology.\n\nA more recent version of the dataset is available at https://doi.org/10.5285/dbc7cc17-cbbd-49dd-bab4-8e8855768d66 entitled 'Traits data for the butterflies and macro-moths of Great Britain and Ireland, 2024'.","documentType":"GEMINI_DOCUMENT","familyName":["Cook","Tordoff","Davis","Parsons","Dennis","Fox","Botham","Bourn"],"fullName":["Cook, P.M.","Tordoff, G.M.","Davis, A.M.","Parsons, M.S.","Dennis, E.B.","Fox, R.","Botham, M.S.","Bourn, N.A.D.","Botham, M."],"funder":["Natural Environment Research Council"],"givenName":["P.M.","G.M.","A.M.","M.S.","E.B.","R.","N.A.D.","Marc"],"grant":["NE/N018125/1"],"identifier":"33a66d6a-dd9b-4a19-9026-cf1ffb969cdb","incomingCitationCount":0,"keyword":["Pollinators","database","moths","trait","trend","butterfly","lepidopteran","ecology"],"keywordsOther":["database","moths","trait","trend","butterfly","lepidopteran","ecology"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Data were collated from a range of referenced sources as described in the metadata. Where required expert opinion was used to determine traits, for example regarding habitat.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:35:27.000Z","orcid":["0000-0002-7510-1020","0000-0003-2692-4415","0000-0001-6992-3522","0000-0002-5276-1405","0000-0003-1416-6047"],"organisation":["Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/33a66d6a-dd9b-4a19-9026-cf1ffb969cdb","10.5285/33a66d6a-dd9b-4a19-9026-cf1ffb969cdb","doi:10.5285/33a66d6a-dd9b-4a19-9026-cf1ffb969cdb"],"resourceType":"Dataset","rightsHolder":["Butterfly Conservation"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/05jg03a59"],"shortenedDescription":"Here, we present a comprehensive traits database for the butterflies and macro-moths of Great Britain and Ireland. The database covers 968 species in 21 families. Ecological traits fall into four main categories: life cycle ecology and phenology, host plant specificity…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Traits data for the butterflies and macro-moths of Great Britain and Ireland, 2022","topic":["0/Pollinators/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements of conductivity, dissolved oxygen, pH and temperature. Druck pressure transducers were installed at the same sites to measure continuous water level values. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments. Data were collected continuously at 15-minutes intervals for periods of variable length, depending on site.","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno","Fry"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N.","Fry, M."],"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N.","M."],"identifier":"00895096-e083-498f-9a52-b7f9e3291125","incomingCitationCount":1,"keyword":["Lowland Catchment Research Programme (LOCAR) ","Water quality","dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsOther":["dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsProject":["Lowland Catchment Research Programme (LOCAR) "],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Temperature, pH, conductivity and dissolved oxygen data were collected using YSI 6-Series multi-parameter water quality sondes. Each sonde had multiple sensors that read water quality data. Water level data were collected using Druck Pressure Transducers. The transducers were fully submersible high performance sensors that produced reliable and accurate water level measurements. After two weeks of deployment in the river the sondes were taken back to the laboratory for calibration checks, cleaning, changing the membrane on the oxygen electrode and recalibration. During their transportation and storage they were kept moist at all times by adding a few drops of deionised water in the containing bottle. On return to the laboratory, the outside of the sonde body was wiped to remove silt, etc. The electrode guard was removed and the body of the electrode rinsed, avoiding cleaning the surface of the electrodes. The sonde was then connected to the battery pack and computer and the calibration software launched. Then, in the corresponding calibration software menus, the specific conductance, conductivity, dissolved oxygen charge were activated and their post calibration values recorded in the post calibration form. Before the sondes could be returned to the field they needed to be recalibrated. First, the glass surface of the pH electrode was gently wiped with a cotton bud wetted in alcohol. The inside of the conductivity electrode was scrubbed with a small bottle brush then the sonde was rinsed with distilled water. The 'O' ring was removed and the plastic membrane from the oxygen electrode was replaced by a new one. The 'O' ring was then replaced. The new membrane needed at least 12 hours to condition before calibration. The sonde was therefore left in the transportation pot (containing moist sponge) until the next day before being calibrated. To calibrate the sonde, it was connected to the battery pack and the computer. From the calibration routine, in the sonde software menu, the dissolved oxygen charge was activated. Then dissolved oxygen, conductivity and pH were consecutively selected for calibration. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers on the YSI sondes and Druck pressure transducers at each site on a regular basis. Data are raw and have not been quality controlled nor corrected for instrument failure or instrument drift. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. (For further details see the supporting documentation for this dataset)","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-07-24T18:49:59.000Z","organisation":["Centre for Ecology & Hydrology","University of Birmingham","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426780471009","CEH:EIDC::1426780471009","https://catalogue.ceh.ac.uk/id/00895096-e083-498f-9a52-b7f9e3291125","10.5285/00895096-e083-498f-9a52-b7f9e3291125","doi:10.5285/00895096-e083-498f-9a52-b7f9e3291125"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements…","state":"published","temporalExtentText":"Data collected from 2002 to 2007","title":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level in rivers (2002-2007) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","cit"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Smart","Cagnarini","Cosby","Emmett","Thomas","Reinsch"],"authorFullName":["Smart, S.M.","Cagnarini, C.","Cosby, B.J.","Emmett, B.A.","Thomas, A.","Reinsch, S."],"authorGivenName":["S.M.","C.","B.J.","B.A.","A.","S."],"authorOrcid":["0000-0003-2750-7832","0000-0001-5106-2429","0000-0001-5645-3373","0000-0002-2713-4389","0000-0002-4929-7285","0000-0003-4649-0677"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset  contains aboveground net primary productivity (ANPP) estimates and litter layer depth measurements from five long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each metric was measured once at each site. Litter layer depth was measured between November 2018 and March 2019 . Leaves were sampled for ANPP estimates in 2021. Each land use contrast was assigned a grassland and a woodland plot respectively. Each of these plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five land use contrasts were: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. ANPP (g dry mass m-2 yr-1) was estimated from measured leaf dry matter content of the two dominant species in each grassland and woodland plot. Litter layer depth (cm) was measured with a ruler in the field.\n\nANPP estimates and litter layer depth measurements in this dataset are co-located with soil physical, chemical and biological properties (0-1 m), soil hydraulic measurements (soil water release curves and hydraulic conductivity), and earthworm counts and identification. A file is provided to connect all co-located measurements.\n\nThis project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1).","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Cagnarini","Cosby","Emmett","Thomas","Reinsch"],"fullName":["Smart, S.M.","Cagnarini, C.","Cosby, B.J.","Emmett, B.A.","Thomas, A.","Reinsch, S."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","C.","B.J.","B.A.","A.","S."],"grant":["NE/R016429/1"],"identifier":"9156d263-4def-406d-bdc9-22a6821fe755","incomingCitationCount":1,"keyword":["aboveground net primary productivity","litter layer depth","woodland","grassland","UK-SCAPE","SOC-D"],"keywordsOther":["aboveground net primary productivity","litter layer depth","woodland","grassland","UK-SCAPE","SOC-D"],"licence":"Open government licence","lineage":"To estimate ANPP, leaves of the two dominant species in grassland and woodland plots were sampled from grids 2 and 5 during peak plant growth. The leaves were dried at 80oC for 24 h and leaf dry matter content (LDMC) was calculated. The LDMC values were then used to estimate ANPP using the model by Smart et al. (2017).\n\nThe litter layer depths were measured in most grids with a ruler at the time of soil sampling. Three measurements were recorded on field sheets and transferred to Microsoft Excel. The data were manipulated using R to calculate the mean and the data were exported as a .csv file  .\n","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T10:15:53.000Z","orcid":["0000-0003-2750-7832","0000-0001-5106-2429","0000-0001-5645-3373","0000-0002-2713-4389","0000-0002-4929-7285","0000-0003-4649-0677"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9156d263-4def-406d-bdc9-22a6821fe755","10.5285/9156d263-4def-406d-bdc9-22a6821fe755","doi:10.5285/9156d263-4def-406d-bdc9-22a6821fe755"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset  contains aboveground net primary productivity (ANPP) estimates and litter layer depth measurements from five long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each metric was measured once at each site. Litter layer…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Plant aboveground net primary productivity estimates (2021) and litter layer depth measurements (2018-2019) at five long-term grassland-to-woodland land use contrasts across England","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University College Dublin","UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Pschenyckyj","Evans","Shaw","Griffiths","Clark"],"authorFullName":["Pschenyckyj, C.M.","Evans, C.D.","Shaw, L.J.","Griffiths, R.I.","Clark, J.M."],"authorGivenName":["C.M.","C.D.","L.J.","R.I.","J.M."],"authorOrcid":["0000-0003-0522-9631","0000-0002-4985-7078","0000-0002-0412-8824"],"authorRor":["https://ror.org/05m7pjf47","https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline.\n\nEach treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time).\n\nThe data includes chemistry data (pH, EC, DOC, SUVA254) for a variety of sample types (pore water from peat and organic soil (monthly), decomposing surface litter extracts (quarterly), and soil extracts (quarterly). \nLitter bag data includes mass loss of litter following a period of incubation in soil (3, 6 9 or 12 months), and chemistry of litter extracts (pH, EC, DOC, total nitrogen, SUVA254). There are up to four sub-replications per treatment replication. \n\nData is also presented for the Tea Bag Index, including kTBI (decomposition rate) and S (stabilisation factor). There are up to three sub-replications per treatment replication.","documentType":"GEMINI_DOCUMENT","familyName":["Pschenyckyj","Evans","Shaw","Griffiths","Clark"],"fullName":["Pschenyckyj, C.M.","Evans, C.D.","Shaw, L.J.","Griffiths, R.I.","Clark, J.M.","Pschenyckyj, C."],"funder":["Natural Environment Research Council"],"givenName":["C.M.","C.D.","L.J.","R.I.","J.M.","Catharine"],"identifier":"3bd6397d-f0db-40c4-885a-95ca280a6683","incomingCitationCount":0,"keyword":["Soil","Peatland","Organic soil","Podzol","Tea bag index","Litter bag","peat","acidification","soil"],"keywordsOther":["Peatland","Organic soil","Podzol","Tea bag index","Litter bag","peat","acidification","soil"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data was collected from an acidity manipulation field experiment which took place between 2015-2016 at two locations in the UK; Migneint in North Wales (3°48.8′ W, 52°59.6′ N), and Peaknaze in Northern England (1°54.5′ W, 53°28.3′ N). Water samples were filtered and stored at fridge temperature in amber glass bottles until analysis. Sample analysis took place within 1 week of collection at the Centre for Ecology and Hydrology (Bangor).\n\nLitter and tea bag samples were stored at fridge temperature and processed within one month of collection. Analysis took place at  the Centre for Ecology and Hydrology (Bangor). Water extracts were filtered, stored in amber glass bottles at fridge temperature and analysed within one week of the extraction.\n\nAll instruments measuring water chemistry were calibrated prior to the analysis, and runs included calibration standards and check solutions of known concentrations. Checks were include at the start, middle and end of the runs to check for drifts in measurements. Aquacheck solutions were also included for QA purposes. ","locations":["POLYGON((-4.507 52.913, -4.507 54.64, -2.769 54.64, -2.769 52.913, -4.507 52.913))"],"metadataDate":"2026-07-24T20:40:16.000Z","orcid":["0000-0003-0522-9631","0000-0002-4985-7078","0000-0002-0412-8824"],"organisation":["University College Dublin","UK Centre for Ecology & Hydrology","University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3bd6397d-f0db-40c4-885a-95ca280a6683","10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683","doi:10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683"],"resourceType":"Dataset","rightsHolder":["University College Dublin"],"ror":["https://ror.org/05m7pjf47","https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline.\n\nEach treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time).\n\nThe data includes…","state":"published","temporalExtentText":"Data collected from 2015 to 2016","title":"Acid manipulation field experiment in North Wales and the Peak District (2015-2016): Litter decomposition, Tea Bag Index and pore water chemistry data","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Sheffield","University of Oxford"],"authorFamilyName":["Hatchwell","Green"],"authorFullName":["Hatchwell, B.J.","Green, J.P."],"authorGivenName":["B.J.","J.P."],"authorOrcid":["0000-0002-1039-4782","0000-0001-8728-2810"],"authorRor":["https://ror.org/05krs5044","https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Dataset comprising data on the lifetime reproductive success (LRS) of 879 individually marked long-tailed tits Aegithalos caudatus, a cooperatively breeding passerine. LRS is measured in terms of the number of local recruits into the breeding population in the study area, controlling for fledgling sex and extra-pair paternity. LRS data are then partitioned into direct and indirect fitness components, quantified as genetic equivalents. Partitioning of fitness follows Hamilton’s definition of inclusive fitness: (a) direct fitness is measured as the production of offspring, stripped of the social effect of helpers on productivity; (b) indirect fitness is calculated from the mean marginal effect of a helper on productivity, adjusted for helper relatedness. Inclusive fitness is calculated by summing direct and indirect fitness.","documentType":"GEMINI_DOCUMENT","familyName":["Hatchwell","Green"],"fullName":["Hatchwell, B.J.","Green, J.P."],"funder":["Natural Environment Research Council"],"givenName":["B.J.","J.P."],"grant":["NE/R001669/1"],"identifier":"0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac","incomingCitationCount":0,"keyword":["long-tailed tit","Aegithalos caudatus","lifetime reproductive success","inclusive fitness","indirect fitness","direct fitness"],"keywordsOther":["long-tailed tit","Aegithalos caudatus","lifetime reproductive success","inclusive fitness","indirect fitness","direct fitness"],"licence":"Open government licence","lineage":"Data was collected following systematic fieldwork protocols from 1994 to 2019. We studied a colour ringed population of 17-72pairs of long-tailed tits from 1994 to 2019 in an approximately 2.5 km2 section of the Rivelin Valley (53°23’N, 1°34’W), Sheffield, UK. The breeding attempts of all individuals in our study population were monitored closely throughout the breeding season. Nests were found by following pairs and subsequently monitored closely (at approximately 2-4 day intervals until they failed or broods fledged. It is estimated that more than 95% of nests within the study site are found each year with undetected nesting attempts typically failing early in the breeding cycle. Life history traits including timing of breeding (i.e. dates of laying, incubation, hatching and fledging, typically recorded ± 1 day), clutch size (n eggs), brood size (n nestlings), and the identity of parents and helpers were recorded. Nestlings in accessible nests were ringed with a unique colour-ring combination and with a British Trust for Ornithology (BTO) ring when 11 days old, and we sexed each individual using molecular techniques from blood samples taken by brachial venepuncture (under Home Office licence). More than 95% of all adults are ringed by the end of each breeding season with a BTO ring and a unique combination of two colour rings. Survival of offspring to 1 year of age was assessed from recruitment into the study population. Some birds (especially females) disperse beyond the boundaries of the study site, but we assume that local recruitment is proportional to brood productivity. We also assume that breeders that disappear from the study site are dead, an assumption validated by a high resighting probability of marked birds. Life history data are entered into an excel spreadsheet on the day of data collection, supervised by Hatchwell. At the end of each season, data are entered into a bespoke Access database that is designed to identify errors of individual identification, timing of events and magnitude of input variables. The dataset provided to the data centre uses data extracted directly from the Access database that has been subjected to quality control at the time of data collection and entry, and by the design of the database itself. See supporting documentation for method for generation of direct, indirect and inclusive fitness data.","locations":["POLYGON((-1.593 53.375, -1.593 53.393, -1.511 53.393, -1.511 53.375, -1.593 53.375))"],"metadataDate":"2026-07-24T19:02:56.000Z","orcid":["0000-0002-1039-4782","0000-0001-8728-2810"],"organisation":["University of Sheffield","University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac","10.5285/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac","doi:10.5285/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac"],"resourceType":"Dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"Dataset comprising data on the lifetime reproductive success (LRS) of 879 individually marked long-tailed tits Aegithalos caudatus, a cooperatively breeding passerine. LRS is measured in terms of the number of local recruits into the breeding population in the study…","state":"published","temporalExtentText":"Data collected from 1994 to 2019","title":"Lifetime reproductive success and fitness estimates of long-tailed tits in the Rivelin Valley, Sheffield, UK, from 1994-2019","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hewitt"],"authorFullName":["Hewitt, D."],"authorGivenName":["D."],"authorOrcid":["0000-0001-8297-0294"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). A strong interaction was found in root biomass and root nodule biomass in cut white clover plants in a high ozone background (45-67 parts per billion (ppb) treatment mean), suggesting ozone-impacts on root nodule biomass occur through limitation of carbon availability. The work was carried out as part of a NERC funded PhD.","documentType":"GEMINI_DOCUMENT","familyName":["Hewitt","Mills"],"fullName":["Hewitt, D.","Mills, G."],"givenName":["D.","Gina"],"identifier":"10c6df00-c7ef-444b-951f-33a2c0072bec","incomingCitationCount":0,"keyword":["Abergwyngregyn","Environmental risk","Pollution","Trifolium repens","Jasmonic acid"],"keywordsOther":["Trifolium repens","Jasmonic acid"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"A short-term (four-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). Seedlings were propagated in early Spring 2014. After three weeks, to introduce a soil microbe, pots were inoculated with a soil slurry mixture. Pots were then divided between 3 treatments: uncut pots (controls), with a single cut to four centimetre (cm)m height immediately prior to ozone exposure and uncut, with a weekly application of Methyl-Jasmonate solution during the experiment. The seedlings were grown on for four weeks then exposed to random ozone profiles for four weeks. \nA representative quarter of each pot was selected and recordings of healthy, injured or senesced leaves made on in weeks 2, 3 and 4. The harvest of above and below-ground biomass was performed after four weeks on each pot. Shoot biomass, and root biomass from a representative quarter of the pot, were dried for a minimum of 48 hours at 60 degrees Celsius. Root nodule biomass was also excised from the root system, and was air dried, sized and weighed. Root biomass, nodule mass and nodule numbers per pot were calculated. Leaf area index (LAI) of undamaged leaves was determined from dried forage. Mean injury and senescence data across the recordings was determined for each pot, and was arcsine transformed prior to analysis. Injury and senescence data, and selected biomass data, were then analysed by analysis of variance (ANOVA), with ozone background and treatment applied as factors. \n\nPost-hoc Tukey's honest significant difference tests were used to determine the significance of factors where appropriate. Relationships between total root nodule biomass and biomass, and raw injury parameters for each treatment were also investigated via Pearson's correlation analysis. All analyses were conducted in R Software (version 3.1.2).  \n\nData was first recorded in the field in field notebooks, and was then transferred to electronic copies (MS Excel worksheets). Data was then exported as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-09-15T08:46:08.000Z","orcid":["0000-0001-8297-0294"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/10c6df00-c7ef-444b-951f-33a2c0072bec","10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec","doi:10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Influence of Jasmonic acid on the response of pasture to ozone","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Leeds","IISER, Pune","Unaffiliated","St. Joseph's college, Calicut"],"authorFamilyName":["Gloor","Barua","Galbraith","Hegde","Sunny","Tiwari"],"authorFullName":["Gloor, E.","Barua, D.","Galbraith, D.R.","Hegde, B.","Sunny, R.","Tiwari, R."],"authorGivenName":["E.","D.","D.R.","B.","R."],"authorOrcid":["0000-0002-9384-6341","0000-0002-8761-0084","0000-0002-5555-4823","0000-0002-8723-607X","0000-0002-2191-769X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2 assimilation versus temperature curves, leaf morphological traits for nine representative species measured during two seasons: post-monsoon and summer.\n\nThe overall purpose of the measurements from this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative site (Sirsi).","documentType":"GEMINI_DOCUMENT","familyName":["Gloor","Barua","Galbraith","Hegde","Sunny","Tiwari"],"fullName":["Gloor, E.","Barua, D.","Galbraith, D.R.","Hegde, B.","Sunny, R.","Tiwari, R."],"funder":["Natural Environment Research Council"],"givenName":["E.","D.","D.R.","B.","R.","Emanuel"],"grant":["NE/R005079/1"],"identifier":"d057f4e4-c2c7-4cea-a5de-1562f970a533","incomingCitationCount":0,"keyword":["Safety limits","Tree traits","tropical forest","tree"],"keywordsOther":["Safety limits","Tree traits","tropical forest","tree"],"licence":"Open government licence","lineage":"The trait data were measured during targeted campaigns in 2020 and 2021 at a forest fragment close to Sirsi. Measurement methodologies:\n1) Thermal traits: a) CO2 assimilation temperature relationship, derived from leaf A-T (CO2 \t\t\t\tassimilation versus temperature) curves measured using LICOR 6400 and b) Temperature limits of Photosystem II functioning derived from fluorescence measurement of leaf disks heated in water bath.\n2) Hydraulic traits - a) Stress (negative pressure) at which 50% of conductivity is lost based on \t\t\tvulnerability curves and b) Turgor loss point measured using PV curves.\n","locations":["POLYGON((74.823 14.6, 74.823 14.63, 74.845 14.63, 74.845 14.6, 74.823 14.6))"],"metadataDate":"2026-07-25T14:17:11.000Z","orcid":["0000-0002-9384-6341","0000-0002-8761-0084","0000-0002-5555-4823","0000-0002-8723-607X","0000-0002-2191-769X"],"organisation":["University of Leeds","IISER, Pune","Unaffiliated","St. Joseph's college, Calicut","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d057f4e4-c2c7-4cea-a5de-1562f970a533","10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533","doi:10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Functional traits of tropical forest tree species, Sirsi, Western Ghats, India, 2021","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Swansea University","U.S. Forest Service ","University of Melbourne","University of Vienna","Universidad de Oviedo, Oviedo, Spain","University of Exeter","Wageningen University","Universitat de València","U.S. Geological Survey","South African National Parks","Universidad de Santiago de Compostela","U.S. Department of Agriculture Forest Service"],"authorFamilyName":["Neris","Doerr","Santín","Sánchez-García","Robichaud","Sheridan","Sigmund","Manley","González-Rodríguez","Belcher","Marcotte","Cerdá","Murphy","Strydom","Otero","Rhoades"],"authorFullName":["Neris, J.","Doerr, S.H.","Santín, C.","Sánchez-García, C.","Robichaud, P.R.","Sheridan, G.J.","Sigmund, G.","Manley, J.","González-Rodríguez, G.","Belcher, C.","Marcotte, A.","Cerdá, A.","Murphy, S.","Strydom, T.","Otero, X.","Rhoades, C."],"authorGivenName":["J.","S.H.","C.","P.R.","G.J.","G.","A.","S.","T.","X."],"authorOrcid":["0000-0002-8754-9236","0000-0002-8700-9002","0000-0001-9901-2658","0000-0001-6753-243X","0000-0002-2902-2401","0000-0003-1755-7334","0000-0003-2068-0878","0000-0002-2532-8665","0000-0003-3496-8290","0000-0001-5326-4489","0000-0002-5481-3635","0000-0002-9077-9446","0000-0001-5447-1842","0000-0002-3336-2257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes the chemical and physical properties of wildfire ash collected following wildland fires in different ecosystems and burn severity conditions across the globe. For the chemical properties, ash was collected from sampling sites across eight countries (Australia, Canada, South Africa, US, UK, The Netherlands, Spain and Austria). For the physical properties, ash was collected from four locations in Tenerife (Spain), Victoria (Australia), Manchester (UK) and Idaho (US).","documentType":"GEMINI_DOCUMENT","familyName":["Neris","Doerr","Santín","Sánchez-García","Robichaud","Sheridan","Sigmund","Manley","González-Rodríguez","Belcher","Marcotte","Cerdá","Murphy","Strydom","Otero","Rhoades"],"fullName":["Neris, J.","Doerr, S.H.","Santín, C.","Sánchez-García, C.","Robichaud, P.R.","Sheridan, G.J.","Sigmund, G.","Manley, J.","González-Rodríguez, G.","Belcher, C.","Marcotte, A.","Cerdá, A.","Murphy, S.","Strydom, T.","Otero, X.","Rhoades, C."],"givenName":["J.","S.H.","C.","P.R.","G.J.","G.","A.","S.","T.","X."],"identifier":"cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","incomingCitationCount":0,"keyword":["ash","fire","Wildfires","chemical composition","physical properties","wildfire impacts","nutrient mobilization","water quality"],"keywordsOther":["ash","fire","Wildfires","chemical composition","physical properties","wildfire impacts","nutrient mobilization","water quality"],"licence":"Open government licence","lineage":"Ash was collected in the field between 2003 & 2021, and brought to the laboratory where chemical and physical properties were analysed.\n\nThe total concentration of selected elements was determined following established protocols after microwave-assisted digestion. The concentration of the selected soluble chemical species was determined after a leachate experiments (see supporting documents for further information).\n\nAsh physical properties were determined following established methods (see supporting documents for further information).\n\nNo data analysis was conducted at this stage.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T14:06:17.000Z","orcid":["0000-0002-8754-9236","0000-0002-8700-9002","0000-0001-9901-2658","0000-0001-6753-243X","0000-0002-2902-2401","0000-0003-1755-7334","0000-0003-2068-0878","0000-0002-2532-8665","0000-0003-3496-8290","0000-0001-5326-4489","0000-0002-5481-3635","0000-0002-9077-9446","0000-0001-5447-1842","0000-0002-3336-2257"],"organisation":["Swansea University","U.S. Forest Service ","University of Melbourne","University of Vienna","Universidad de Oviedo, Oviedo, Spain","University of Exeter","Wageningen University","Universitat de València","U.S. Geological Survey","South African National Parks","Universidad de Santiago de Compostela","U.S. Department of Agriculture Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","doi:10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes the chemical and physical properties of wildfire ash collected following wildland fires in different ecosystems and burn severity conditions across the globe. For the chemical properties, ash was collected from sampling sites across eight countries…","state":"published","temporalExtentText":"Data collected from 2003 to 2021","title":"Physical and chemical properties of wildfire ash collected from different ecosystems and burn severities across the globe, 2003-2021","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Pickard","Dinsmore","Billett","Branagan"],"authorFullName":["Pickard, A.","Dinsmore, K.J.","Billett, M.F.","Branagan, M."],"authorGivenName":["A.","K.J.","M.F.","M."],"authorOrcid":["0000-0003-1069-3720","0000-0002-3586-6256"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains aquatic carbon and dissolved greenhouse gas data collected from 6 headwater stream sampling sites within the UK’s largest tract of blanket bog, the Flow Country of N. Scotland. The streams drain from catchments under different peatland management regimes: natural non-drained peatland, drained peatland, and restored peatland (achieved via ditch blocking). Sites were sampled on an approximately fortnightly basis between September 2008 and August 2010. Data were obtained via collection of water and gas samples in situ, and concentrations were derived via subsequent sample processing and analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Pickard","Dinsmore","Billett","Branagan"],"fullName":["Pickard, A.","Dinsmore, K.J.","Billett, M.F.","Branagan, M."],"givenName":["A.","K.J.","M.F.","M."],"identifier":"7525088d-e504-456a-bc55-e48d8ca85303","incomingCitationCount":1,"keyword":["Environmental survey","Water quality","Pollution","Hydrology","Peatlands","Peatland restoration"],"keywordsOther":["Peatlands","Peatland restoration"],"keywordsTheme":["Environmental survey","Water quality","Pollution","Hydrology"],"licence":"Open government licence","lineage":"All data were generated by the authors. During the generation of water chemistry and dissolved greenhouse gas data, calibration standards of known concentrations were used for quality control of instrument outputs.","locations":["POLYGON((-6.086 57.687, -6.086 58.751, -2.922 58.751, -2.922 57.687, -6.086 57.687))"],"metadataDate":"2026-07-25T06:53:04.000Z","orcid":["0000-0003-1069-3720","0000-0002-3586-6256"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7525088d-e504-456a-bc55-e48d8ca85303","10.5285/7525088d-e504-456a-bc55-e48d8ca85303","doi:10.5285/7525088d-e504-456a-bc55-e48d8ca85303"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains aquatic carbon and dissolved greenhouse gas data collected from 6 headwater stream sampling sites within the UK’s largest tract of blanket bog, the Flow Country of N. Scotland. The streams drain from catchments under different peatland management…","state":"published","temporalExtentText":"Data collected from 2008 to 2010","title":"Aquatic carbon and greenhouse gas concentrations in headwater streams draining from natural, drained and restored peatland catchments in the Flow Country, Scotland, September 2008-August 2010","topic":["0/Environmental survey/","0/Water quality/","0/Pollution/","0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Sheffield"],"authorFamilyName":["Freckleton","Queenborough"],"authorFullName":["Freckleton, R.","Queenborough, S."],"authorGivenName":["R.","S."],"authorRor":["https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This data collection results from abundance surveys of seven species of weeds in ca. 500 lowland arable fields in 49 farms over three years. Each field was divided into large grids of 20x20 metre cells, and the density of seven species was estimated three times a year. The study is part of the NERC Rural Economy and Land Use (RELU) programme. In the context of changing external and internal pressures on UK agriculture, particularly those associated with the ongoing reform of the EU Common Agricultural Policy, it is imperative to determine whether all of the various dimensions of sustainability - including the relevant economic and environmental objectives as well as social and cultural values - can be integrated successfully at the farm and landscape levels. \n\nAlthough the ways in which economic, technological, and regulatory changes are likely to affect the profitability and management of farms of varying size are reasonably well understood, there is not the knowledge or understanding to predict the resulting effects on biodiversity. For example, the effect of changes in arable farming practices on field weeds and, in turn, on habitats and food supply required to sustain farm birds is a case in point. This knowledge is critical, however, if we are to understand the ecological consequences of changes in agricultural policy. Furthermore, it is also important if we are to design and justify changes in farming methods that can not only enhance nature conservation, but do this is ways that are practical and appealing from a farmer's point of view. This understanding is essential if we are to achieve an agriculture that is sustainable in both economic and environmental terms and is widely perceived to have social and cultural value. \n\nA consistent theme in all components of this research project is to understand the behaviour (of farmers, weeds or birds) and then use this information to produce predictive models. Whilst there have been a number of models of economic behaviour, weed populations and bird populations - including many by the research team here - the really novel component of this research is to integrate these within one framework. Farmer interviews on economic attitudes and preferences associated with and importance of different land-use objectives to lowland arable farmers are available at the UK Data Archive under study number 6728 (see online 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","familyName":["Sutherland","Freckleton","Queenborough","Queensborough"],"fullName":["Sutherland, W.","Freckleton, R.","Queenborough, S.","Queensborough, S."],"givenName":["W.","R.","S."],"identifier":"6762f1b5-2bcc-4062-bff6-e560d902b593","incomingCitationCount":0,"keyword":["Norfolk","Bedfordshire","Lincolnshire","Rural Economy and Land Use Programme","environmental conservation","farming systems","agricultural land","agricultural policy","weed","land use","nature conservation","bird","biodiversity","arable farming","modelling"],"keywordsOther":["environmental conservation","farming systems","agricultural land","agricultural policy","weed","land use","nature conservation","bird","biodiversity","arable farming","modelling"],"keywordsPlace":["Norfolk","Bedfordshire","Lincolnshire"],"keywordsProject":["Rural Economy and Land Use Programme"],"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-227-25-0025 Survey of arable weeds in ca. 500 fields in 49 farms over three years. Each field was divided into large grids of 20x20 m cells, and the density of seven species was estimated three times a year. Categorical abundance (0, low, medium, high, very high) of 7 weed species in 20x20 m grid cells in 20x20 m grid cells in 2-4 ha per field. The area was picked to maximise efficiency in order to decrease between-field transit time. The samples are random in the sense that nothing was known about their weed density beforehand.","locations":["POLYGON((-0.991 51.781, -0.991 53.826, 1.763 53.826, 1.763 51.781, -0.991 51.781))"],"metadataDate":"2026-07-25T06:46:03.000Z","organisation":["University of Cambridge","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1374597694599","CEH:EIDC::1374597694599","https://catalogue.ceh.ac.uk/id/6762f1b5-2bcc-4062-bff6-e560d902b593"],"resourceType":"Dataset","ror":["https://ror.org/013meh722","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"This data collection results from abundance surveys of seven species of weeds in ca. 500 lowland arable fields in 49 farms over three years. Each field was divided into large grids of 20x20 metre cells, and the density of seven species was estimated three times a year.…","state":"published","supplementalDescription":["Complementary survey data from this same research project.","Freckleton, R. P., Sutherland, W. J., Watkinson, A. R., & Stephens, P. A. (2008). Modelling the effects of management on population dynamics: some lessons from annual weeds. Journal of Applied Ecology, 45(4), 1050-1058. ","Providing project information and links to outputs and publications"],"supplementalName":["UK Data Service catalogue record","ESRC award page","Relu Knowledge Portal"],"temporalExtentText":"Data collected from 2006 to 2009","title":"Abundance of weeds in lowland arable fields, 2006-2009 - RELU Management options for biodiverse farming","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Scottish Association for Marine Science"],"authorFamilyName":["Adams","Burrows"],"authorFullName":["Adams, T.P.","Burrows, M.T."],"authorGivenName":["T. P.","M. T."],"authorRor":["https://ror.org/04ke6ht85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a salt marsh area and adjacent mudflat area. Each site comprised 22 quadrats on the unvegetated mudflat and 22 quadrats on the salt marsh. The locations indicated by this dataset correspond to the south-east corner of the quadrats which were 1m square and oriented with their sides aligned North-South and East-West. \n\nWe combined spatial data relating to the environs of the study sites from a number of sources (Ordnance Survey Digital Terrain Models, Ordnance Survey Boundary Line, Environment Agency Saltmarsh Extents, Natural England Priority Habitat Inventory). These were rasterised and quadrat values were extracted on a pointwise basis for elevation and proximity (distance to creek, habitat edge and high water mark). Tidal height was calculated with reference to the relevant Tidal Gauge and Admiralty Standard Port information.\n\nThis data was derived 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":["Adams","Burrows"],"fullName":["Adams, T.P.","Burrows, M.T.","Adams, T."],"funder":["Natural Environment Research Council"],"givenName":["T. P.","M. T.","Tom"],"grant":["NE/J015644/1"],"identifier":"78a2cab5-dca5-411b-ac5b-c2c080928b1d","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","Surface elevation","geopositioning","dGPS","GPS","GNSS","geolocation","mudflat","quadrat","salt marsh"],"keywordsOther":["Surface elevation","geopositioning","dGPS","GPS","GNSS","geolocation","mudflat","quadrat","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"Quadrat locations were taken from GPS readings collected during the CBESS survey programme (OSGB coordinates). Rasterised Digital Terrain Model data at 5 and 50 m horizontal resolution was downloaded from Edina Digimap (Edina.ac.uk), and elevation values at quadrat locations were extracted using R (www.r-project.org; Raster/Maptools packages). Tidal range at relevant Admiralty Standard Ports and adjustment applicable at relevant local tidal gauge were identified, and Mean Low Water Springs and Mean High Water Springs were converted to Ordnance Datum. Tidal height (elevation relative to the difference between Mean Low Water Springs and Mean High Water Springs) was computed at each quadrat for GPS and DTM derived elevations.\n\nSaltmarsh and mudflat boundary data were downloaded from the Environment Agency and Natural England Priority Habitats Inventory. Mean High Water line was extracted from Ordnance Survey Boundary Line data, and land edge from Ordnance Survey Vector Map data. Line shapefiles were converted to rasters with 5 and 50 m horizontal resolution (matching OS DTM grid) using R. Distance to creek edge and high water line (saltmarsh only), and land edge (mudflat only) was calculated in R using 5 m resolution rasterised shapefiles.\n","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:42:06.000Z","organisation":["Scottish Association for Marine Science","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78a2cab5-dca5-411b-ac5b-c2c080928b1d","10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d","doi:10.5285/78a2cab5-dca5-411b-ac5b-c2c080928b1d"],"resourceType":"Dataset","ror":["https://ror.org/04ke6ht85","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details global positioning system (GPS) locations recorded for survey quadrats at six UK saltmarsh sites. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) locations, elevations and proximity metrics of survey quadrats in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"396c1249-84f0-4ca0-891d-4188d750c1ee","incomingCitationCount":0,"keyword":["Northern ireland","UK-SCAPE","Land cover","land cover"],"keywordsOther":["land cover"],"keywordsPlace":["Northern ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T20:38:57.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/396c1249-84f0-4ca0-891d-4188d750c1ee","10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee","doi:10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Land Cover Map 2018 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Exeter","AECOM","Mapua University"],"authorFamilyName":["Abancó","Jones","Matera"],"authorFullName":["Abancó, C.","Jones, J.N.","Matera, M.A.M."],"authorGivenName":["C.","J.N.","M.A.M."],"authorOrcid":["0000-0002-2169-5409","0000-0002-8992-1572"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/030p6ep86","https://ror.org/040rd2b57"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains the areas affected by landslides triggered by Typhoon Parma in the area of Itogon (Benguet, Philippines) between the 2nd and 5th October 2009. The polygons were mapped using Google Earth imagery dated 31 December 2003 for pre-event and images and 31 December 2009 for post-event images. The area has an extension of 150 km2.","documentType":"GEMINI_DOCUMENT","familyName":["Abancó","Jones","Matera"],"fullName":["Abancó, C.","Jones, J.N.","Matera, M.A.M."],"funder":["Natural Environment Research Council"],"givenName":["C.","J.N.","M.A.M."],"identifier":"2e15dbd2-71c3-4e86-aa90-6029d37bd417","incomingCitationCount":0,"keyword":["Itogon","Philippines","Mapping","debris flow","hazard","typhoon","landslide"],"keywordsOther":["debris flow","hazard","typhoon","landslide"],"keywordsPlace":["Itogon","Philippines"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"The polygons of the landslides were mapped by two people. The technique to map them was visual observation of evidences of change before and after the typhoon, that would correspond to the appearance of a landslide. The inventory was checked by two people  afterwards.","locations":["POLYGON((120.601 16.33, 120.601 16.473, 120.709 16.473, 120.709 16.33, 120.601 16.33))"],"metadataDate":"2026-09-15T08:37:05.000Z","orcid":["0000-0002-2169-5409","0000-0002-8992-1572"],"organisation":["University of Exeter","AECOM","Mapua University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2e15dbd2-71c3-4e86-aa90-6029d37bd417","10.5285/2e15dbd2-71c3-4e86-aa90-6029d37bd417","doi:10.5285/2e15dbd2-71c3-4e86-aa90-6029d37bd417"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/030p6ep86","https://ror.org/040rd2b57","https://ror.org/021018s57","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the areas affected by landslides triggered by Typhoon Parma in the area of Itogon (Benguet, Philippines) between the 2nd and 5th October 2009. The polygons were mapped using Google Earth imagery dated 31 December 2003 for pre-event and images and…","state":"published","temporalExtentText":"Data collected from 2003 to 2009","title":"Areas affected by landslides following Typhoon Parma in Itogon, Philippines, October 2009","topic":["0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Cumbria County Council","Institute of Terrestrial Ecology"],"authorFamilyName":["Bunce","Smith","Booy","Wood"],"authorFullName":["Bunce, R.G.H.","Smith, R.S.","Booy, M.","Wood, C.M."],"authorGivenName":["R.G.H.","R.S.","M.","C.M."],"authorOrcid":["0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises plant species, soils, habitat types and major biota present,  collected during a survey of the English county of Cumbria, using standardised survey methods.  The survey was undertaken by the Institute of Terrestrial Ecology (a forerunner of the Centre for Ecology & Hydrology) in 1975 within a stratified random set of sites.  In total, up to 650 plots were surveyed from within 48 x 1km squares.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Smith","Booy","Wood"],"fullName":["Bunce, R.G.H.","Smith, R.S.","Booy, M.","Wood, C.M."],"givenName":["R.G.H.","R.S.","M.","C.M."],"identifier":"e96b909d-d52e-4b36-bc51-905ece420794","incomingCitationCount":0,"keyword":["Cumbria","Biodiversity","Environmental survey","Soil","vascular plants","soil","bryophytes"],"keywordsOther":["vascular plants","soil","bryophytes"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Biodiversity","Environmental survey","Soil"],"licence":"Open government licence","lineage":"Data were collected on paper by trained field surveyors using standardised methods and later digitised by the Centre for Ecology & Hydrology, Lancaster.  Soil samples were analysed at laboratories belonging to the Institute of Terrestrial Ecology, Merlewood, Grange-over-Sands.","locations":["POLYGON((-3.657 54.008, -3.657 55.019, -2.465 55.019, -2.465 54.008, -3.657 54.008))"],"metadataDate":"2026-09-15T08:44:00.000Z","orcid":["0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","Cumbria County Council","Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-07-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e96b909d-d52e-4b36-bc51-905ece420794","10.5285/e96b909d-d52e-4b36-bc51-905ece420794","doi:10.5285/e96b909d-d52e-4b36-bc51-905ece420794"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises plant species, soils, habitat types and major biota present,  collected during a survey of the English county of Cumbria, using standardised survey methods.  The survey was undertaken by the Institute of Terrestrial Ecology (a forerunner of the…","state":"published","supplementalName":["Report from 1975 survey"],"temporalExtentText":"Data collected from 1975 to 1975","title":"Terrestrial habitat, vegetation and soil data from Cumbria, England, 1975","topic":["0/Biodiversity/","0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid"],"authorFamilyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"authorFullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D."],"authorGivenName":["C.J.","S.","J.R.","A.J.","D."],"authorOrcid":["0000-0003-2175-1842","0000-0001-7480-5758","0000-0003-4957-2774","0000-0001-7043-227X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Plain text","Comma-separated values (CSV)","R"],"description":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"fullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D.","Feeney, C."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","S.","J.R.","A.J.","D.","Christopher"],"grant":["NE/S01697X/1","NE/R016429/1"],"identifier":"78bc21a9-39e0-4efc-992c-5587439fe6be","incomingCitationCount":1,"keyword":["Environmental risk","CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsOther":["CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Historic river channel changes were quantified for the years 1976-2018 by digitising channel boundaries from old Ordnance Survey maps and aerial imagery. Floodplain erosion and deposition rates (m2 yr-1) were estimated by overlaying the digitised channel features to create a time-series of landscape evolution. The years 1976-2018 represent a combined overlapping record where we have available OS maps and aerial imagery, as well as continuous recorded daily-averaged flow data for the Ashton Weir (station no. 69007) from the National River Flow Archive. The CAESAR-Lisflood model was calibrated using this historic flow series and a modified version of a LiDAR DEM from the Environment Agency. Simulation results during calibration were compared against digitised historic channel changes, with the 2 best results chosen for simulation of future flow scenarios. A total of 12 simulations was run to determine which of 40 electricity transmission towers would be at greatest risk from river channel erosion. These 12 simulations consist of the 2 calibrated models × 6 hypothetical future flow scenarios.\n\nThe CAESAR-Lisflood model simulates processes using deterministic algorithms. This means that without changing inputs, the model can be run repeatedly and return an identical result. Input files necessary to run the CAESAR-Lisflood model are included in this dataset so that this repeatability can be independently verified. R code is also provided to allow the user to reproduce most of the analyses reported in the associated paper.\n\nRiver channel change is a “chaotic” process, which means prediction of its future dynamics is riddled with uncertainties. Added to this, our chosen flow scenarios are hypothetical, and constructed by multiplying the most recent historical 32-year flow record by 1-1.5 depending on the scenario. Thus, care should be taken when interpreting our results. We suggest that we can accurately pinpoint which towers are most at risk from future erosion, but not the exact timings of these risks.","locations":["POLYGON((-2.4 53.43, -2.4 53.46, -2.34 53.46, -2.34 53.43, -2.4 53.43))"],"metadataDate":"2026-07-25T06:54:55.000Z","orcid":["0000-0003-2175-1842","0000-0001-7480-5758","0000-0003-4957-2774","0000-0001-7043-227X"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78bc21a9-39e0-4efc-992c-5587439fe6be","10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be","doi:10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years…","state":"published","supplementalDescription":["If the user wishes to recreate the model outputs, they will need to use the CAESAR-Lisflood model, which is available from:\n\nWe would also recommend using version 4 of R to run any of the R scripts"],"temporalExtentText":"Data collected from 2018 to 2050","title":" Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=9&facet=availability%7CAvailable"}