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H."],"authorGivenName":["F.","M.","H."],"authorOrcid":["0000-0003-1142-4039","0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Groups represent the intermediate units of IHU in terms of spatial resolution. The most common size of a group is around 400 square kilometres. Each Group carries a name constructed from names of the major river flowing through the Group, the major river flowing into the Group, the major river into which the Group flows, and sometimes also from local county names. Each Group consists of one or more Section and Groups can be combined to form Hydrometric Areas without Coastline. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Kral","Fry","Dixon"],"fullName":["Kral, F.","Fry, M.","Dixon, H."],"givenName":["F.","M.","H.","Matt"],"identifier":"f1cd5e33-2633-4304-bbc2-b8d34711d902","incomingCitationCount":0,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","hydrology","watershed","catchment"],"keywordsOther":["hydrology","watershed","catchment"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words 'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood. \n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:05:15.000Z","orcid":["0000-0003-1142-4039","0000-0002-7415-063X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380901992","CEH:EIDC::1425380901992","https://catalogue.ceh.ac.uk/id/f1cd5e33-2633-4304-bbc2-b8d34711d902","10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902","doi:10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Groups represent the intermediate units of IHU in terms of spatial…","state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["NRFA website"],"temporalExtentText":"Data collection started in 2014","title":"Integrated Hydrological Units of the United Kingdom: Groups","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"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","Hedgelink","Northumbria University"],"authorFamilyName":["Staley","Dean","Adams","Amy","Botham","Chapman","Baldock","Pywell"],"authorFullName":["Staley, J.T.","Dean, H.J.","Adams, N.P.","Amy, S.A.","Botham, M.S.","Chapman, R.E.","Baldock, K.S.","Pywell, R.F."],"authorGivenName":["Joanna T.","H.J.","N.P.","S.A.","M.S.","R.E.","K.S.","Richard F."],"authorOrcid":["0000-0001-6467-3712","0000-0002-9602-7202","0000-0002-5276-1405","0000-0002-3842-1420","0000-0001-6849-8747","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset includes data on vegetation composition, flower counts, berry availability over winter, pollinator visitation rates, invertebrate, hedge structure and hedgerow regrowth from a set of long running hedgerow experiments. There were three experiments in total. Experiment 1 was based in Monks Wood, Cambridgeshire, and was used to investigate the long-term effects of timing and frequency of cutting on resource provision for wildlife. Experiment 2 was based at 5 sites across Oxfordshire, Buckinghamshire and Devon and was used to investigate the effect of timing, intensity and frequency of hedgerow cutting. Experiment 3 was based at 5 sites across Cambridgeshire, Northamptonshire, Buckinghamshire and Oxfordshire and was used to investigate the effects of different rejuvenation techniques on hedgerows. All three experiments were randomised plot experiments (full details of plots and their treatments can be found in the supporting documentation. The majority of the data was collected between 2010 and 2016 but for one experiment there is data from 2005.\n\nThe long running hedgerow experiments had two linked aims focused on management to maintain and restore the hedgerow resource under the agri-environment schemes:\n-\tto examine the effects of simple cutting management regimes promoted by Entry Level Stewardship (ELS) and Higher Level Stewardship (HLS) on the quality and quantity of wildlife habitat, and food resources in hedgerows; and\n-\tto identify, develop and test low-cost, practical options for hedgerow restoration and rejuvenation applicable at the large-scale under both ELS and HLS.\n\nThis research was funded by Defra (project number BD2114: Effects of hedgerow management and restoration on biodiversity) and managed by the UK Centre for Ecology & Hydrology (UKCEH).","documentType":"GEMINI_DOCUMENT","familyName":["Staley","Dean","Adams","Amy","Botham","Chapman","Baldock","Pywell"],"fullName":["Staley, J.T.","Dean, H.J.","Adams, N.P.","Amy, S.A.","Botham, M.S.","Chapman, R.E.","Baldock, K.S.","Pywell, R.F."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["Joanna T.","H.J.","N.P.","S.A.","M.S.","R.E.","K.S.","Richard F."],"grant":["BD2114"],"identifier":"95259623-f0b6-4328-a0e3-4aec09ede5b5","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","Pollinators","biodiversity","hedgerow","hedge"],"keywordsOther":["biodiversity","hedgerow","hedge"],"keywordsTheme":["Biodiversity","Environmental survey","Pollinators"],"licence":"Open government licence","lineage":"All data were collected using standardised protocols developed for this research using existing published methods where possible. Data were collected by experienced field surveyors and ecologists. Species anomalies and lists were checked by experts to identify records that may be spurious. Data were collected on paper records and subsequently entered into Excel spreadsheets, prior to import into an Oracle database. Data were checked for anomalous values at time of data entry into Excel and import into the Oracle database. Data provided here have been exported from the database following various QA checks for locations, missing data and unexpected values. No other changes have been made to the data.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-08-25T09:21:32.000Z","orcid":["0000-0001-6467-3712","0000-0002-9602-7202","0000-0002-5276-1405","0000-0002-3842-1420","0000-0001-6849-8747","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Hedgelink","Northumbria University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-09-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/95259623-f0b6-4328-a0e3-4aec09ede5b5","10.5285/95259623-f0b6-4328-a0e3-4aec09ede5b5","doi:10.5285/95259623-f0b6-4328-a0e3-4aec09ede5b5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset includes data on vegetation composition, flower counts, berry availability over winter, pollinator visitation rates, invertebrate, hedge structure and hedgerow regrowth from a set of long running hedgerow experiments. There were three experiments in total.…","state":"published","temporalExtentText":"Data collected from 2005 to 2016","title":"Biodiversity and structural data from hedgerow management and rejuvenation experiments in England, 2005-2016","topic":["0/Biodiversity/","0/Environmental survey/","0/Pollinators/"],"version":1.0,"view":["public","clwe","hajd"]},{"authorAffiliation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","Environment Agency","Agricultural University of Athens"],"authorFamilyName":["Ainsworth","Keller","Bachiller- Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"authorFullName":["Ainsworth, R.F.","Keller, V.","Bachiller- Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"authorGivenName":["R.F.","V.","Nuria","M.D.","M.","D.","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"authorOrcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/03ykbk197","https://ror.org/01ch2yn61","https://ror.org/01zewfb16","https://ror.org/03xawq568"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017 inclusive were selected. Covariate data include habitat quality indicators (River Habitat Survey and HABSCORE outputs), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S000100/2).","documentType":"GEMINI_DOCUMENT","familyName":["Ainsworth","Keller","Bachiller- Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"fullName":["Ainsworth, R.F.","Keller, V.","Bachiller- Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"funder":["Natural Environment Research Council"],"givenName":["R.F.","V.","Nuria","M.D.","M.","D.","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"grant":["NE/S000100/2"],"identifier":"b0afb78e-a0cb-4762-9220-659211ae3a5e","incomingCitationCount":0,"keyword":["Pollution","pollution","hydrology","river","NFPD","Freshwater fish","Juvenile fish densities and pollution in English rivers","fish","land-use change","land use","Larval fish densities and pollution in English rivers","Larval fish densities","Fish ecology"],"keywordsOther":["pollution","hydrology","river","NFPD","Freshwater fish","Juvenile fish densities and pollution in English rivers","fish","land-use change","land use","Larval fish densities and pollution in English rivers","Larval fish densities","Fish ecology"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Fish Data\nSpecies-specific abundances in English rivers were acquired from the Environment Agency's National Fish Population Database (NFPD), focusing on sites surveyed at least 10 times between 1975 and 2017. Raw fish counts were transformed into densities, with only semi-quantitative surveys (single catch) and the initial catch from quantitative surveys (multiple catch) considered. Qualitative surveys were excluded due to insufficient sampling information. Standard counts were available in the majority of cases. Abundance values were standardized by taking the midpoint of logarithmic ranges (e.g., 5, 55, 550, 5500) for different abundance categories. Densities were then calculated by dividing the standardized abundance by the sampling area and multiplying by 100 (units = 100 m-2). Species in the NFPD dataset were assigned Chempop Species Codes adapted from EA species codes, and when multiple EA species codes matched one Chempop Species Code, their densities were summed for each survey. Data without a Chempop species code (e.g., hybrids or broad categories like \"all species\") were removed, while surveys with zero fish captures were retained in the dataset.\n\nHabitat Quality indicators\nHabitat scores were obtained from the Environment Agency's River Habitat Survey (RHS) dataset, with ArcGIS used to link fish sites to their nearest RHS site. Two key scores were extracted: the Habitat Modification Score (HMS), which reflects the degree of artificial channel modification, and the Habitat Quality Assessment (HQA), which provides a broad assessment of habitat quality based on the diversity and abundance of natural features in the river channel and riparian zone. The HQA is suitable for comparing similar river types. To enable comparisons with data from 1994, new rules for flow-types and channel vegetation were established and applied across all sites, resulting in the HQA adjusted for 1994 data. The most recent RHS survey data was extracted for this analysis.\nHABSCORE is a method for evaluating Atlantic salmon (Salmo salar L.) and brown trout (Salmo trutta L.) habitat, generating a Habitat Quality Score (HQS) that quantifies habitat quality in terms of expected fish density at a site (100m-2). These assessments are conducted alongside salmonid surveys, but their frequency is generally lower, and the spatial coverage is dependent on the presence of salmon or trout. HABSCORE data, provided by the Environment Agency as Excel files, was extracted for relevant sites and survey dates, supplemented with historical HABSCORE data held by UoH for the same sites.\n\nLand Use\nLand use in the catchment upstream of fish sites (NFPD) were calculated from the Land Cover Map 2015 (25m raster, GB). The 21 land cover types were grouped to cover four broad categories of: Woodland, Arable, Seminatural and Urban. The catchment tool in DataLabs was used to extract and process the data, which were summed into percentage and areas of each land use group. The sum of the percentages of the grouped categories were checked and were found to fall in the range of 99.96-100.04 %. \n\nWater Temperature\nTo assess its influence on fish growth, the cumulative annual degree-days ≥12°C, indicating the total temperature sum for days exceeding 12°C in the year prior to the survey date, was calculated. Water temperature data was sourced from the EA Surface Water Temperature Archive for sites with at least 3 years of records, and daily mean air temperature was collected from the Climate Hydrology and Ecology Research Support System (CHESS). The Baseflow Index for each water temperature gauging station and fish site was determined using the UKCEH National River Flow Archive. Generalized additive mix modeling (GAMM) was chosen to model water temperature, accounting for seasonal and year-to-year variation in water temperature, along with the nonlinear relationship between air and water temperature. Seven GAMM models, each covering a 0.1 BFI range, were developed, with the best model (Model: month, time, and air temperature, using ARMA structures) identified based on evaluation metrics like RMSE, NRMSE, and SI. This model was employed to estimate water temperature for fish sites.\n\nRiver Flow\nRiver flow data was sourced from the National River Flow Archive (NRFA) hosted by UKCEH and matched with fish sites based on the shortest distance along the river network. Data was extracted for the 12 months leading up to each fish survey, and various statistics were computed, including mean, median, standard deviation, coefficient of variation, Q5/mean, and Q95/mean. Additionally, threshold statistics were calculated for different percentiles (5, 25, 75, and 95), encompassing the threshold discharge value (estimated discharge quantile), days exceeded, number of exceedance events, and average event length.\n\nWater Quality-Effluent dilution factor\nTo gauge river pollution levels across England, the study used the LowFlows2000-WQX (lowFlows2000 Water Quality eXtension) model, which characterizes wastewater discharge by wastewater treatment works (WWTWs) in terms of location, domestic population served, dry weather flow (DWF), and treatment type. It's important to note that only significant WWTWs were considered for computational purposes, based on specific criteria: those in catchments contributing to 95% of each hydrometric area and those accounting for 95% of the total discharged DWF to the estuary, ranked by DWF. The model produced predicted wastewater percentages for all reaches in the modelled river network, which is a truncated version of the 1:50,000 digital river network derived from the UK Ordnance Survey Panorama Data Set. To estimate the percentage of wastewater at each fish site, a python script was used to link each site to the nearest reach in the river network. The results are reported in terms of mean, standard deviation, 90th percentile, and 95th percentile, denoted as EDF_Mn, EDF_SD, EDF_Q90, and EDF_Q95, respectively.\n\nChemical Determinands\nChemical concentration data spanning 1960-2017, involving 41 determinands, was extracted from the UK's Environment Agency's Water Quality Data Archive. Fish sites were matched to the nearest chemical determinand site using specific criteria like site distance, sample count, and data collection timeframe through ArcGIS. To identify and exclude erroneous data, a threshold of 10 mg/l was set for some determinands, with values exceeding this threshold omitted from statistical calculations. Handling values below the Limit of Quantification (LoQ) involved three options: setting values to LoQ (LoQ1), setting them to 0 (LoQ2), or setting them to LoQ/2 (LoQ3). For the 12 months preceding the surveys at each fish site, various statistics were computed, including minimum, maximum, median, mean, standard deviation, total sample count, and counts of samples below and above the LoQ. Some sites had to be excluded from the final dataset due to licensing restrictions. \n\nAltitude\nElevation values for each fish site were extracted from the Integrated Hydrological Digital Terrain Model (IHDTM) using Arc GIS' Extract Multi Values to Points' tool. Two elevation values were calculated: Elevation values corresponding to the value of the IHDTM cell centre. Elevation values corresponding to an average value calculated from the adjacent cells with valid values using bilinear interpolation; NoData values were ignored in the interpolation unless all adjacent cells were NoData.\n\nClimate variables\nThe Gulf Stream Index (GSI) data spanning 1975-2017 was obtained from the Plymouth Marine Laboratory website (http://www.pml-gulfstream.org.uk/data.htm). Annual mean data were employed due to substantial month-to-month variability resulting from Gulf Stream meandering (Plymouth Marine Laboratory, 2019). Positive GSI values signify a northward shift from the long-term mean location, while negative values indicate a southward movement.\n\nData for the North Atlantic Oscillation Index (NAOI) spanning 1975-2017 was obtained from the National Centre for Atmospheric Research website (https://www.ncei.noaa.gov/access/monitoring/nao). The NAOI's winter (December-March) station-based index relies on the normalized sea level pressure (SLP) difference between Lisbon, Portugal, and Reykjavik, Iceland, dating back to 1864. Positive NAOI values indicate stronger westerlies over mid-latitudes, more intense North Atlantic weather systems, and wetter/milder conditions in Western Europe.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T12:53:23.000Z","orcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"organisation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","Environment Agency","Agricultural University of Athens","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b0afb78e-a0cb-4762-9220-659211ae3a5e","10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e","doi:10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/03ykbk197","https://ror.org/01ch2yn61","https://ror.org/01zewfb16","https://ror.org/03xawq568","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017…","state":"published","temporalExtentText":"Data collected from 1975 to 2017","title":"Fish abundance, habitat, water quality, flow and climate data from English rivers,1975-2017","topic":["0/Pollution/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Glasgow","Newcastle University","University of Adelaide","Ritsumeikan University"],"authorFamilyName":["Rex","Staff","Toney","Pearson","Francke","Nakagawa"],"authorFullName":["Rex, C.L.","Staff, R.A.","Toney, J.L.","Pearson, E.J.","Francke, A.","Nakagawa, T."],"authorGivenName":["C.L.","R.A.","J.L.","E.J.","A.","T."],"authorOrcid":["0000-0003-2068-4836","0000-0002-8634-014X","0000-0003-3182-6887","0000-0002-5990-1343","0000-0002-0370-5802","0000-0003-0831-6803"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about the compound-specific stable hydrogen isotope composition (δ2H) of n-alkanoic acids with 26, 28 and 30 carbon atoms. The samples originated from the Lake Suigetsu sediment cores. Data is provided at an approximately ~60 year resolution from 132.7 ka BP to 125.2 ka BP (n = 60). To accompany this data, the mass-normalised concentrations of key n-alkane and n-alkanoic acids are provided, alongside n-alkane index values. This data was collected to infer changes to the Lake Suigetsu catchment and the East Asian Summer Monsoon during Glacial Termination II. \nThis work was supported by the Quaternary Research Association, the Scottish Alliance for Geoscience, Environment and Society, the School of Geographical and Earth Science (University of Glasgow) and the NERC IAPETUS2 Doctoral Training Partnership.\n","documentType":"GEMINI_DOCUMENT","familyName":["Rex","Staff","Toney","Pearson","Francke","Nakagawa"],"fullName":["Rex, C.L.","Staff, R.A.","Toney, J.L.","Pearson, E.J.","Francke, A.","Nakagawa, T.","Rex, C."],"funder":["Natural Environment Research Council","Quaternary Research Association (New Research Worker’s Award)","School of Geographical and Earth Science, University of Glasgow","Scottish Alliance for Geoscience, Environment and Society (Small Grants Scheme)"],"givenName":["C.L.","R.A.","J.L.","E.J.","A.","T.","Charlie"],"identifier":"e3ebeca1-ce57-40f9-8237-85d8aa543ff8","incomingCitationCount":0,"keyword":["Lake Suigetsu","Stable isotopes","n-alkanoic acid","Biomarkers","Sediment core","East Asian Monsoon"],"keywordsOther":["Lake Suigetsu","Stable isotopes","n-alkanoic acid","Biomarkers","Sediment core","East Asian Monsoon"],"licence":"Open government licence","lineage":"Materials for this study were taken from the Lake Suigetsu sediment cores. Each set of samples underwent chemical preparation to isolate the components required following standard preparation methodologies. N-alkane and n-alkanoic acid concentrations were measured using a GC-FID and then corrected using an external standard calibration. Compound-specific n-alkanoic acid hydrogen isotopes were measured using a GC-IRMS connected via a furnace. This data was corrected (for the methylation of the n-alkanoic acids prior to measurement) using a mass balance approach.","locations":["POLYGON((135.857 35.552, 135.857 35.617, 135.924 35.617, 135.924 35.552, 135.857 35.552))"],"metadataDate":"2026-09-15T08:38:10.000Z","orcid":["0000-0003-2068-4836","0000-0002-8634-014X","0000-0003-3182-6887","0000-0002-5990-1343","0000-0002-0370-5802","0000-0003-0831-6803"],"organisation":["University of Glasgow","Newcastle University","University of Adelaide","Ritsumeikan University","NERC EDS Environmental Information Data Centre","C.L. Rex"],"publicationDate":"2023-09-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e3ebeca1-ce57-40f9-8237-85d8aa543ff8","10.5285/e3ebeca1-ce57-40f9-8237-85d8aa543ff8","doi:10.5285/e3ebeca1-ce57-40f9-8237-85d8aa543ff8"],"resourceType":"Dataset","rightsHolder":["C.L. Rex"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about the compound-specific stable hydrogen isotope composition (δ2H) of n-alkanoic acids with 26, 28 and 30 carbon atoms. The samples originated from the Lake Suigetsu sediment cores. Data is provided at an approximately ~60 year resolution…","state":"published","title":" N-alkanoic acid hydrogen isotope composition and biomarker concentration of sediments from Lake Suigetsu, Japan (132,700 to 125,200 cal BP)","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University","Atkins Realis","Bristol University"],"authorFamilyName":["Mackay","Feuchtmayr","Thackeray","Callaghan","Marshall","Rhodes","Yates","Johnes","Maberly"],"authorFullName":["Mackay, E.B.","Feuchtmayr, H.","Thackeray, S.J.","Callaghan, N.","Marshall, M.","Rhodes, G.","Yates, C.","Johnes, P.J.","Maberly, S.C."],"authorGivenName":["E.B.","H.","S.J.","N.","M.","G.","C.","P.J.","S.C."],"authorOrcid":["0000-0001-5697-7062"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/05fehs989"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated growth responses to inorganic and organic nutrient additions, based on experimental incubations and background nutrient data collected from sites at the same time as water for the experimental incubations. ","documentType":"GEMINI_DOCUMENT","familyName":["Mackay","Feuchtmayr","Thackeray","Callaghan","Marshall","Rhodes","Yates","Johnes","Maberly"],"fullName":["Mackay, E.B.","Feuchtmayr, H.","Thackeray, S.J.","Callaghan, N.","Marshall, M.","Rhodes, G.","Yates, C.","Johnes, P.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["E.B.","H.","S.J.","N.","M.","G.","C.","P.J.","S.C."],"grant":["NE/K010603/1"],"identifier":"3ca94e73-57dc-4fcd-afe2-82a4e491970a","incomingCitationCount":0,"keyword":["Great Britain","Water quality","Bioassay","Organic nutrients","River phytoplankton","Nutrient limitation","DOMAINE","nutrient","phytoplankton"],"keywordsOther":["Bioassay","Organic nutrients","River phytoplankton","Nutrient limitation","DOMAINE","nutrient","phytoplankton"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Raw water samples were collected at each site on a single sampling occasion and kept at 4°C in the dark and transported to the laboratory within 48 hours. They were acclimatised in a constant temperature room at 20°C. Water was filtered through a 100 µm mesh to remove any zooplankton or large detritus present, 35 mL of sample was transferred to 50 mL boiling tubes. 12 different nutrient treatments were applied at approximately Redfield ratio [N: 90 µmol L-1 (1.261 mg N L-1) and P: 6 µmol L-1 (0.186 mg P L-1)] in triplicate to quantify growth responses to both organic N and P. These included: 1) a control with no addition of nutrients, 2) inorganic N only, 3) inorganic P only and 4) inorganic N and P, 5-8) four organic N additions and 9- 12) four organic P additions. Tubes were stoppered with foam bungs enabling gas exchange and incubated for 14 days at 20°C under a photon irradiance of 80 – 120 µmol m-2 s-1 (photosynthetically available radiation, Macam Q102) and an 18 h light, 6 h dark cycle.  After the incubation period, tube contents including biofilm were resuspended by scraping and vortex mixing before being filtered onto a Whatman GF/C glass fibre filter (nominal pore size 1.2 µm) and frozen. Filters were later defrosted, and chlorophyll a extracted in hot methanol and measured spectrophotometrically. Growth response was determined as a change in the concentration of chlorophyll a in the treatment relative to the relevant control calculated as a natural log response ratio. For the water chemistry data (measured in mg/L), a Skalar++ multi-channel continuous flow autoanalyzer (Skalar Analytical B.V., The Netherlands) was used to carry out inorganic nutrient analysis, including total and total dissolved N and P (TN or TP, TDN or TDP) following persulphate digestion of unfiltered and filtered (pre-leached 0.45 µm cellulose nitrate) samples respectively, and dissolved inorganic N (DIN), including total ammoniacal nitrogen (NH3 and NH4), or soluble reactive P (SRP) on filtered samples. Dissolved organic nitrogen (DON) and dissolved organic phosphorus (DOP), were determined by difference between TDN and DIN or TDP and SRP, respectively.\n\nData from these analyses were checked and entered into spreadsheets for later analysis.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:40:37.000Z","orcid":["0000-0001-5697-7062"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Atkins Realis","Bristol University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ca94e73-57dc-4fcd-afe2-82a4e491970a","10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a","doi:10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/05fehs989","https://ror.org/04xw4m193"],"shortenedDescription":"The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"River phytoplankton growth responses to organic nutrients with associated nutrient data from 25 rivers in GB","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"authorGivenName":["M.S.","I.","J.","C.","R.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B.","Botham, M."],"funder":["Natural Environment Research Council","Butterfly Conservation","JNCC"],"givenName":["M.S.","I.","J.","C.","R.","D.B.","Marc"],"grant":["NE/S011641/1"],"identifier":"7869969c-ac2d-450e-97c6-79d3d6a22a57","incomingCitationCount":0,"keyword":["England","Scotland","Wales","United Kingdom","Northern Ireland","UK-SCAPE","Biodiversity"],"keywordsPlace":["England","Scotland","Wales","United Kingdom","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-8.833 49.325, -8.833 60.861, 1.768 60.861, 1.768 49.325, -8.833 49.325))"],"metadataDate":"2026-09-02T10:06:23.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2025-01-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7869969c-ac2d-450e-97c6-79d3d6a22a57","10.5285/7869969c-ac2d-450e-97c6-79d3d6a22a57","doi:10.5285/7869969c-ac2d-450e-97c6-79d3d6a22a57"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed,…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2023","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Brazilian Agriculture Research Corporation - Embrapa","Imperial College London","Universidade Federal de Pernambuco"],"authorFamilyName":["Moura","Lloyd","Carvalho","Miranda"],"authorFullName":["Moura, M.S.B.","Lloyd, J.","Carvalho, H.F.S.","Miranda, R.Q."],"authorGivenName":["M.S.B.","J.","H.F.S.","R.Q."],"authorOrcid":["0000-0002-2844-1399","0000-0002-9052-7898","0000-0002-5464-2397"],"authorRor":["https://ror.org/0482b5b22","https://ror.org/041kmwe10","https://ror.org/047908t24"],"availability":"Available","catalogue":"eidc","dataFormat":["xyz","Polygon file format (.ply)"],"description":"This dataset contains 3D Lidar scans representative for 0.5 ha permanent sample plots at Caatinga, Brazil. Two plots were located in Serra das Almas Reserve (SDA) and one plot in Petrolina (PET). The dataset also includes scans completed inside and outside for 10 individual trees. Scans were taken between July 2017 and May 2019. ","documentType":"GEMINI_DOCUMENT","familyName":["Moura","Lloyd","Carvalho","Miranda"],"fullName":["Moura, M.S.B.","Lloyd, J.","Carvalho, H.F.S.","Miranda, R.Q."],"funder":["Natural Environment Research Council"],"givenName":["M.S.B.","J.","H.F.S.","R.Q.","Magna Soelma Beserra"],"grant":["NE/N012526/1"],"identifier":"6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac","incomingCitationCount":0,"keyword":["Caatinga","Lidar","Point Cloud","canopy and tree architecture"],"keywordsOther":["Caatinga","Lidar","Point Cloud","canopy and tree architecture"],"licence":"Open government licence","lineage":"3D scans were taken using a TLS 3D Faro Focus scanner and Faro Scene software was used to register the raw scans and export the point cloud in xyz format.","locations":["POLYGON((-41.77 -9.319, -41.77 -4.511, -39.232 -4.511, -39.232 -9.319, -41.77 -9.319))"],"metadataDate":"2026-07-25T06:47:03.000Z","orcid":["0000-0002-2844-1399","0000-0002-9052-7898","0000-0002-5464-2397"],"organisation":["Brazilian Agriculture Research Corporation - Embrapa","Imperial College London","Universidade Federal de Pernambuco","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac","10.5285/6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac","doi:10.5285/6a29d55e-b40e-4f8c-8dd2-5cf0e27634ac"],"resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/0482b5b22","https://ror.org/041kmwe10","https://ror.org/047908t24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains 3D Lidar scans representative for 0.5 ha permanent sample plots at Caatinga, Brazil. Two plots were located in Serra das Almas Reserve (SDA) and one plot in Petrolina (PET). The dataset also includes scans completed inside and outside for 10 individual…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Registered point cloud and raw scan terrestrial lidar data for canopy structure studies at tree and plot levels of Caatinga vegetation, Brazil, 2017-2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Hull","Newcastle University","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari"],"authorFamilyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"authorFullName":["Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"authorGivenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"authorOrcid":["0000-0003-3547-3791"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/01kj2bm70","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future coastal change scenarios (short-, medium-, and long-term), and is sortable based on the overall risk score for each climate scenario.","documentType":"GEMINI_DOCUMENT","familyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"fullName":["Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B.","Adam Jarvis"],"funder":["Natural Environment Research Council"],"givenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"grant":["NE/T003286/1","NE/T003022/1","NE/T002824/1","NE/T003200/1"],"identifier":"2501589d-1a13-4e6e-a25b-b74993c5b758","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","Environmental risk","coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsOther":["coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsTheme":["Climate and climate change","Environmental survey","Environmental risk"],"licence":"Non-Open government licence","lineage":"A combination of publicly available and proprietary shapefiles of waste deposits were analysed using GIS methods. Output data were then fed into a prioritisation method based on source-pathway-receptor models. A suite of spatial data has been integrated in order to score potential risks associated with waste type (Source), likelihood of pollutant release relating to current and future flood and erosion climate projections, alongside current management infrastructure (Pathway), and proximity to sensitive ecological features or proxies of human use in coastal areas (Receptors).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:25:20.000Z","orcid":["0000-0003-3547-3791"],"organisation":["University of Hull","Newcastle University","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2501589d-1a13-4e6e-a25b-b74993c5b758","10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758","doi:10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/01kj2bm70","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future…","state":"published","supplementalDescription":["Riley AL, Amezaga J, Burke IT, Byrne P, Cooper N, Crane RA, Comber SDW, Gandy CJ, Hudson-Edwards KA, Jennings E, Lewis E, Lofts S, MacDonald JM, Malcolm H, Mayes WM, Onnis P, Olszewska J, Spears B and Jarvis AP (2022) Incorporating conceptual site models into national-scale environmental risk assessments for legacy waste in the coastal zone. Front. Environ. Sci. 10:1045482. doi: 10.3389/fenvs.2022.1045482"],"title":"List of legacy waste deposits (including historical landfill sites) across England and Wales, ranked by environmental risk to the coastal environment under future climate scenarios","topic":["0/Climate and climate change/","0/Environmental survey/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge"],"authorFamilyName":["Marquand","Zhu","Faulkner","Turchyn"],"authorFullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"authorGivenName":["T I","B","K J","A V"],"authorOrcid":["0000-0002-8168-9692","0000-0002-8677-2014","0000-0002-9204-6502","0000-0002-9298-2173"],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites in the East Anglian Fens, UK, by researchers at the Department of Earth Sciences, University of Cambridge.\n\nThe experiments were carried out in laboratory mesocosms to examine how changes in water table levels influence greenhouse gas fluxes and porewater chemistry. CO2 and CH4 emission data are provided for \"short-term\" experiments in which columns of drained peat were subjected to a high water table and then gradually drained over ~50 days with CO2 and CH4 emissions monitored as the water table is lowered. CO2 and CH4 emission and pore fluid concentration data are provided for \"long-term\" experiments in which mesocosms of drained peat were subjected to high water table (5cm above the soil surface) for a period of around 5 months.\nThese data were generated to improve understanding of how peatland rewetting and water table management affect greenhouse gas dynamics in lowland fen systems, supporting assessments of peatland restoration and climate mitigation strategies.\n\nThis work was carried out as part of the Centre for Landscape Regeneration at the University of Cambridge (Landscape Regeneration Solutions to the Interlinked Extinction and Climate Crises that support Sustainable Development, NE/W00495X/1) with analytical facilities funded by LASER-ENVI - A LASER spectrometer based ENVIronmental Gas and Gas-Isotope Facility (NE/V015435/1).","documentType":"GEMINI_DOCUMENT","familyName":["Marquand","Zhu","Faulkner","Turchyn"],"fullName":["Marquand, T.I.","Zhu, B.","Faulkner, K.J.","Turchyn, A.V."],"funder":["Natural Environment Research Council"],"givenName":["T I","B","K J","A V"],"grant":["NE/W00495X/1","NE/V015435/1"],"identifier":"0cefa296-33ad-4a73-8783-3471c6f64ee7","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsOther":["soil","soil chemistry","greenhouse gas","greenhouse gas emissions","water table","methane","dissolved methane","carbon dioxide","dissolved carbon dioxide","peat","laboratory experiment","fen","East Anglian Fens"],"keywordsTheme":["Agriculture","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were collected from sites in the Fens and incubated in laboratory mesocosms under two treatments: (1) short-term experiments in which water table was raised above soil surface and gradually lowered over around 50 days, and (2) long-term experiments in which water table depth was raised and maintained high for ~5 months. In both conditions, emissions and pore fluid concentrations of CO2 and CH4 were monitored throughout the experiment period (using an open chamber approach, Picarro G2201-i gas analyser). Detailed descriptions of methods, units, processing, etc., can be found in the supporting document.","locations":["POLYGON((-0.268 52.33, -0.268 52.553, 0.521 52.553, 0.521 52.33, -0.268 52.33))"],"metadataDate":"2026-07-24T19:00:56.000Z","orcid":["0000-0002-8168-9692","0000-0002-8677-2014","0000-0002-9204-6502","0000-0002-9298-2173"],"organisation":["Department of Earth Sciences, University of Cambridge","Department of Plant Sciences, University of Cambridge","University of Cambridge","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0cefa296-33ad-4a73-8783-3471c6f64ee7","10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7","doi:10.5285/0cefa296-33ad-4a73-8783-3471c6f64ee7"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents greenhouse gas emissions data from controlled peat mesocosm experiments conducted between February 2023 and December 2025. The study investigated carbon dioxide (CO₂) and methane (CH₄) emissions from drained peat soils collected from three sites…","state":"published","temporalExtentText":"Data collected from 2023 to 2025","title":"Carbon dioxide and methane emission and pore fluid concentration data from peat mesocosm experiments under variable water table treatments","topic":["0/Agriculture/","0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Trent University","Manchester Metropolitan University","Aberystwyth University","Royal Botanic Gardens, Kew","University of Sheffield","Lancaster University"],"authorFamilyName":["Perring","Sawicka","Fielding","Deacon","Britton","Rowe","Hayes","Papatheodorou","Field","Caporn","Stiles","Jones","Kowal","Phoenix","Stevens"],"authorFullName":["Perring, M.P.","Sawicka, K.","Fielding, D.","Deacon, A.","Britton, A.","Rowe, E.","Hayes, F.","Papatheodorou, E.","Field, C.","Caporn, S.","Stiles, W.","Jones, L.","Kowal, J.","Phoenix, G.","Stevens, C."],"authorGivenName":["Michael P.","Kasia","Debbie","Alice","Andrea","Ed","Felicity","Ekaterina","Chris","Simon","Will","Laurence","Jill","Gareth","Carly"],"authorOrcid":["0000-0001-8553-4893","0000-0002-7553-3149","0009-0001-2562-1108","0009-0006-1122-0924","0000-0002-0603-7432","0000-0003-4784-7236","0000-0002-1037-5725","0000-0002-8403-2848","0000-0001-5728-3070","0000-0002-4379-9006","0000-0001-6504-8978","0000-0002-0911-8107","0000-0002-2390-1763"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03ygmq230","https://ror.org/02hstj355","https://ror.org/015m2p889","https://ror.org/00ynnr806","https://ror.org/05krs5044","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The main data are vegetation composition percent covers in a series of experimental plots situated in the United Kingdom. These data were collected by others and have been rescued and synthesized for this resource. There is a unique ID identifying the plot from which vegetation data were recorded. These unique IDs are also used in the other .csv file, which provides the experimental design information for each plot in each experiment, together with information on further former N deposition experiments, where designs have been characterised but vegetation data are not available at this time. Data were collected over different years, ranging from 2000 to 2021, in experiments of different length and design and methods that have been translated into a common measurement scale. The supporting documentation provides further information on each of these experiments, and when and how vegetation data were collected and subsequently derived","documentType":"GEMINI_DOCUMENT","familyName":["Perring","Sawicka","Fielding","Deacon","Britton","Rowe","Hayes","Papatheodorou","Field","Caporn","Stiles","Jones","Kowal","Phoenix","Stevens"],"fullName":["Perring, M.P.","Sawicka, K.","Fielding, D.","Deacon, A.","Britton, A.","Rowe, E.","Hayes, F.","Papatheodorou, E.","Field, C.","Caporn, S.","Stiles, W.","Jones, L.","Kowal, J.","Phoenix, G.","Stevens, C.","Kasia Sawicka"],"funder":["Joint Nature Conservation Committee (JNCC)","Department for Environment Food and Rural Affairs","Natural England"],"givenName":["Michael P.","Kasia","Debbie","Alice","Andrea","Ed","Felicity","Ekaterina","Chris","Simon","Will","Laurence","Jill","Gareth","Carly"],"identifier":"b9e76736-7db9-4576-acd9-dfdf9f8ff9a3","incomingCitationCount":0,"keyword":["Environmental survey","Biodiversity","nitrogen","deposition","vegetation cover","experimental study"],"keywordsOther":["nitrogen","deposition","vegetation cover","experimental study"],"keywordsTheme":["Environmental survey","Biodiversity"],"licence":"Open government licence","lineage":"For the data rescue project \"Rescuing UKREATE Data to Elucidate Recovery\" (RUDER), UKCEH engaged a consortium of stakeholders, asking members to share publications and available data on the experimental design and potential recovery indicator variables for a suite of former N deposition experiments across a variety of priority habitats. We received data in various formats and file types from the consortium members. We adopted a stepwise approach in vegetation data harmonisation. First, we identified the characteristics of the submitted vegetation information (data and/or publications) across the different experiments e.g. years and/or frequency of collection, variation in the clarity of accompanying metadata, response metrics. Where sufficient information existed, we then used the in-development experimental design spreadsheet to match unique IDs to submitted data for those experiments where it proved possible. Where this proved impossible, we ascertained next steps to help understand the experimental design (e.g. Thursley or Tadham Moor) or rescue data from literature (e.g. Wardlow Old and New). Initial QA procedures have been implemented to test standardisation of the species names and quality of the species cover data. We automated the data collation procedure so that in each experiment, data have been collated into a standardised format of response i.e. species percent cover. Where possible the vascular plant species names were matched with BRC (Biological Records Centre) code from PLANTATT (Hill et al. 2004). This allowed harmonization of data as this picked up where genus only codes were used, or the same species was spelled in different ways across datasets. Species names were then harmonized for the final dataset to use the taxon name present in PLANTATT (for vascular plants). A similar scheme was adopted for bryophytes, using information within BryoAtt (Hill et al. 2007). Lichen species codes (BLS code) were found using the British Lichen Society webpage resource (https://britishlichensociety.org.uk/; accessed on 8th May 2026) and entries looked at individually to harmonise within and across experiments. In quality assuring the vegetation data, we note the following information relating to species groups and other features (e.g. bare ground) that are recorded in each experiment (Table 6). In those experiments where species groups were recorded and there is zero cover of that group, or species within that group, this is a 'real' zero. In those experiments where there is no evidence of species groups being recorded, it is unknown whether they are real zeros or that they were not examined and could therefore be present but were not noted. These properties of the data should be borne in mind when analysing them.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:58:12.000Z","orcid":["0000-0001-8553-4893","0000-0002-7553-3149","0009-0001-2562-1108","0009-0006-1122-0924","0000-0002-0603-7432","0000-0003-4784-7236","0000-0002-1037-5725","0000-0002-8403-2848","0000-0001-5728-3070","0000-0002-4379-9006","0000-0001-6504-8978","0000-0002-0911-8107","0000-0002-2390-1763"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Trent University","Manchester Metropolitan University","Aberystwyth University","Royal Botanic Gardens, Kew","University of Sheffield","Lancaster University","NERC EDS Environmental Information Data Centre","UKCEH"],"publicationDate":"2026-06-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b9e76736-7db9-4576-acd9-dfdf9f8ff9a3","10.5285/b9e76736-7db9-4576-acd9-dfdf9f8ff9a3","doi:10.5285/b9e76736-7db9-4576-acd9-dfdf9f8ff9a3"],"resourceType":"Dataset","rightsHolder":["UKCEH"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03ygmq230","https://ror.org/02hstj355","https://ror.org/015m2p889","https://ror.org/00ynnr806","https://ror.org/05krs5044","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"The main data are vegetation composition percent covers in a series of experimental plots situated in the United Kingdom. These data were collected by others and have been rescued and synthesized for this resource. There is a unique ID identifying the plot from which…","state":"published","temporalExtentText":"Data collected from 2000 to 2021","title":"Vegetation composition data from a series of former nitrogen deposition experiments in the UK, 2000-2021","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey","HR Wallingford"],"authorFamilyName":["Hannaford","Mackay","Ascott","Bell","Chitson","Cole","Counsell","Durant","Facer-Childs","Jackson","Kay","Lane","Mansour","Moore","Parry","Rudd","Simpson","Turner","Wallbank","Wells","Wilcox"],"authorFullName":["Hannaford, J.","Mackay, J.","Ascott, M.","Bell, V.","Chitson, T.","Cole, S.","Counsell, C.","Durant, M.","Facer-Childs, K.","Jackson, C.","Kay, A.","Lane, R.","Mansour, M.","Moore, R.J.","Parry, S.","Rudd, A.","Simpson, M.","Turner, S.","Wallbank, J.","Wells, S.","Wilcox, A."],"authorGivenName":["J.","M.","V.","T.","S.","C.","K.","A.","R.","R.J."],"authorOrcid":["0000-0002-5256-3310","0000-0003-4373-5747","0000-0002-4868-2069","0000-0002-0792-5650","0000-0003-4294-8687","0000-0002-9928-6242","0000-0003-1060-9103","0000-0003-2373-2098","0000-0002-5526-1756","0000-0003-4176-9214","0000-0003-3058-8864","0000-0001-6291-6661","0000-0001-5996-6115","0000-0002-3633-2723","0000-0001-8358-8775","0000-0002-6313-0836"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile"],"description":"Enhanced Future Flows and Groundwater (eFLaG) is an 12-member ensemble projection of river flow, groundwater level, and groundwater recharge time series for 200 catchments, 54 boreholes and 558 groundwater bodies in Great Britain and Northern Ireland. It is derived from the UKCP18 dataset, specifically the 'Regional' 12km projections, to which a bias correction is applied. River flows, groundwater level and groundwater recharge data are at a daily time step. \n\nTo be consistent with the driving meteorological dataset, eFLaG data use a simplified 360-day year, consisting of twelve 30-day months. eFLaG data span from 1981 to 2080. \n\nThe development of eFLaG was made during the partnership project funded by the Met Office-led component of the Strategic Priorities Fund Climate Resilience programme under contract P107493 (CR19_4 UK Climate Resilience).","documentType":"GEMINI_DOCUMENT","familyName":["Hannaford","Mackay","Ascott","Bell","Chitson","Cole","Counsell","Durant","Facer-Childs","Jackson","Kay","Lane","Mansour","Moore","Parry","Rudd","Simpson","Turner","Wallbank","Wells","Wilcox"],"fullName":["Hannaford, J.","Mackay, J.","Ascott, M.","Bell, V.","Chitson, T.","Cole, S.","Counsell, C.","Durant, M.","Facer-Childs, K.","Jackson, C.","Kay, A.","Lane, R.","Mansour, M.","Moore, R.J.","Parry, S.","Rudd, A.","Simpson, M.","Turner, S.","Wallbank, J.","Wells, S.","Wilcox, A."],"givenName":["J.","M.","V.","T.","S.","C.","K.","A.","R.","R.J.","Stephen"],"identifier":"1bb90673-ad37-4679-90b9-0126109639a9","incomingCitationCount":11,"keyword":["Water quality","Climate and climate change","Hydrology","Projection","River flow","United Kingdom","Water","groundwater","aquifer","river","flow"],"keywordsOther":["Projection","River flow","United Kingdom","Water","groundwater","aquifer","river","flow"],"keywordsTheme":["Water quality","Climate and climate change","Hydrology"],"licence":"Open government licence","lineage":"Meteorological data is from the UKCP18 dataset, specifically the ‘Regional’ 12km projections. Observed river flow and groundwater level data are provided by the NRFA (National River Flow Archive) and NGLA (National Groundwater Level Archive) respectively. Meteorological and observed data is then modelled through a number of systems including AquiMod, ZOODRM, G2G, PDM, GR4J. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:16:04.000Z","orcid":["0000-0002-5256-3310","0000-0003-4373-5747","0000-0002-4868-2069","0000-0002-0792-5650","0000-0003-4294-8687","0000-0002-9928-6242","0000-0003-1060-9103","0000-0003-2373-2098","0000-0002-5526-1756","0000-0003-4176-9214","0000-0003-3058-8864","0000-0001-6291-6661","0000-0001-5996-6115","0000-0002-3633-2723","0000-0001-8358-8775","0000-0002-6313-0836"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","HR Wallingford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1bb90673-ad37-4679-90b9-0126109639a9","10.5285/1bb90673-ad37-4679-90b9-0126109639a9","doi:10.5285/1bb90673-ad37-4679-90b9-0126109639a9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","British Geological Survey"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"Enhanced Future Flows and Groundwater (eFLaG) is an 12-member ensemble projection of river flow, groundwater level, and groundwater recharge time series for 200 catchments, 54 boreholes and 558 groundwater bodies in Great Britain and Northern Ireland. It is derived…","state":"published","temporalExtentText":"Data collected from 1981 to 2080","title":"Hydrological projections for the UK, based on UK Climate Projections 2018 (UKCP18) data, from the Enhanced Future Flows and Groundwater (eFLaG) project","topic":["0/Water quality/","0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","UK Centre for Ecology and Hydrology"],"authorFamilyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"authorFullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"authorGivenName":["James","Joan","Richard","Annika","Stephen"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R"],"description":"These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders. Seeds from 16 natural juniper populations were germinated, and seedlings were raised in a glasshouse at the UKCEH, Edinburgh, then planted in the field in August 2022. The field site is a seminatural research site owned by Forestry and Land Scotland and managed by Forest Research. It occupies a hillside at approximately 350 metres of elevation and with a west-southwest aspect, and grazing is controlled by deer fences and culls. \nThis deposit also includes R scripts that can be used for transformations and analyses of the data, including univariate and multivariate analyses of quantitative data and correlating these measurements with climate variables (downloaded for each source population location from the CHELSA database).\nThese plants were part of a PhD project conducted to evaluate the standing genetic diversity and adaptive capability of natural populations.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"fullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council","Scottish Forestry Trust","Scottish Research","The Botanist Foundation"],"givenName":["James","Joan","Richard","Annika","Stephen","J."],"grant":["NE/V019813/1"],"identifier":"6952cab2-35be-494f-9253-5873e7fa7f74","incomingCitationCount":0,"keyword":["Biodiversity","Evolutionary ecology","Phenology","Juniperus communis","Common juniper tree","Common garden trial","Quantitative genetics"],"keywordsOther":["Juniperus communis","Common juniper tree","Common garden trial","Phenology","Quantitative genetics","Evolutionary ecology"],"keywordsTheme":["Biodiversity","Evolutionary ecology","Phenology"],"licence":"Open government licence","lineage":"These data were recorded in the field by the depositor with the exception of the 2022 bud burst phenology data, which was recorded in the glasshouse prior to transplantation at the field site. The data included in this submission are the raw measurements, and the included R scripts include all processing and analytical steps for quantitative and phenological data. \n\nThe Chlorophyll fluorescence data was pre-processed by hand, using field notes to remove erroneous scans and match scans to the appropriate plants due to the nature of data recording and the need for proprietary software (\"Hansatech\") to access the raw data.","locations":["POLYGON((-3.185 55.591, -3.185 55.639, -3.108 55.639, -3.108 55.591, -3.185 55.591))"],"metadataDate":"2026-07-25T06:46:42.000Z","organisation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","UK Centre for Ecology and Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6952cab2-35be-494f-9253-5873e7fa7f74","10.5285/6952cab2-35be-494f-9253-5873e7fa7f74","doi:10.5285/6952cab2-35be-494f-9253-5873e7fa7f74"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders.…","state":"published","temporalExtentText":"Data collected from 2022 to 2025","title":"Quantitative genetics of common juniper trees in a common garden trial in Cardrona, Scotland, 2022-2025","topic":["0/Biodiversity/","0/Evolutionary ecology/","0/Phenology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Queen's University Belfast","Institute of Animal Sciences","California State University Los Angeles","Czech University of Life Sciences Prague","Swansea University"],"authorFamilyName":["Mortlock","Esattore","Bartoš","Lyamin","Ježek","Börger","Capellini"],"authorFullName":["Mortlock, E.","Esattore, B.","Bartoš, L.","Lyamin, O.","Ježek, M.","Börger, L.","Capellini, I."],"authorGivenName":["E","B","L","O","M","I"],"authorOrcid":["0000-0002-1434-7107","0000-0003-1024-794X","0000-0003-2667-5930","0000-0003-2049-0943","0000-0002-4127-9947","0000-0001-8763-5997","0000-0001-8065-2436"],"authorRor":["https://ror.org/00hswnk62","https://ror.org/01r3pfw81","https://ror.org/0294hxs80","https://ror.org/0415vcw02","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["text"],"description":"This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz.\nThis data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 - 1/8/23; deployment 2 (males) 04/09/23 - 08/11/23; deployment 3 (females) 13/11/23 - 21/11/23. Deer were housed at the VUZV (Institute of Animal Science) facility, Uhrineves, Prague, Czech Republic.\nThis dataset was funded by NERC, as part of project \"NE/X010368/1: Sleep in the landscape of fear\" and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer.","documentType":"GEMINI_DOCUMENT","familyName":["Mortlock","Esattore","Bartoš","Lyamin","Ježek","Börger","Capellini"],"fullName":["Mortlock, E.","Esattore, B.","Bartoš, L.","Lyamin, O.","Ježek, M.","Börger, L.","Capellini, I.","Euan Mortlock"],"funder":["Natural Environment Research Council"],"givenName":["E","B","L","O","M","I"],"grant":["NE/X010368/1"],"identifier":"e4d51077-ffcb-4462-bfd7-f37025d39af4","incomingCitationCount":0,"keyword":["Animal behaviour","blogging","deer","red deer","behaviour","accelerometery"],"keywordsOther":["blogging","deer","red deer","behaviour","accelerometery"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Biologgers were calibrated immediately prior to deployment. Deer were manipulated in a standard farm handling crush and were not immobilised for deployment. Biologgers were recovered in the same manner.\nData downloaded directly from Daily Diary logger units and stored in raw format. Data has been transformed into .txt format for reusability across different software. No other processing has taken place, other than screening for device failures which have been removed from the dataset.","locations":["POLYGON((14.595 50.032, 14.595 50.043, 14.606 50.043, 14.606 50.032, 14.595 50.032))"],"metadataDate":"2026-09-11T10:51:30.000Z","orcid":["0000-0002-1434-7107","0000-0003-1024-794X","0000-0003-2667-5930","0000-0003-2049-0943","0000-0002-4127-9947","0000-0001-8763-5997","0000-0001-8065-2436"],"organisation":["Queen's University Belfast","Institute of Animal Sciences","California State University Los Angeles","Czech University of Life Sciences Prague","Swansea University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-08-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e4d51077-ffcb-4462-bfd7-f37025d39af4","10.5285/e4d51077-ffcb-4462-bfd7-f37025d39af4","doi:10.5285/e4d51077-ffcb-4462-bfd7-f37025d39af4"],"resourceType":"Dataset","rightsHolder":["Queen's University Belfast"],"ror":["https://ror.org/00hswnk62","https://ror.org/01r3pfw81","https://ror.org/0294hxs80","https://ror.org/0415vcw02","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Biologging data of captive red deer, Prague, Czechia, June-November 2023 v2","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Queen Mary University of London"],"authorFamilyName":["Trimmer"],"authorFullName":["Trimmer, M."],"authorGivenName":["Mark"],"authorOrcid":["0000-0002-9859-5537"],"authorRor":["https://ror.org/026zzn846"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data include baseline concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O) sampled from porewater prior to injection of 15N-nitrate.","documentType":"GEMINI_DOCUMENT","familyName":["Trimmer"],"fullName":["Trimmer, M."],"funder":["Natural Environment Research Council"],"givenName":["Mark"],"identifier":"7ded510f-3955-4b92-851d-29c0f79a0b99","incomingCitationCount":1,"keyword":["Water quality","pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsOther":["pH","temperature","nitrous oxide","nitrite","nitrogen","methane","organic carbon","iron","chloride","oxygen","phosphate","ammonium","nitrate"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Prior to injection of 15N-nitrate, samples of porewater were recovered to measure background concentrations of nutrients (NO2, NO3, NH3, PO4), chloride, oxygen, pH, temperature, Fe(II), organic carbon, 15N-N2 and methane (CH4) and nitrous oxide (N2O). \n\nConcentration of dissolved oxygen in porewater sampled prior to 15N injection. Units are micro-M. Porewater was transferred from the collection syringe to an open syringe barrel containing an oxygen sensor via a 3-way valve. O2 concentrations were measured with a fast response microelectrode (50microm tip, Unisense). Readings from the microelectrode were displayed on a pico-ammeter (PA 2000; Unisense) and logged after 4s when the signal had stabilized. Calibration was performed with a zero solution (0.1M sodium ascorbate in 0.1M sodium hydroxide) and a solution of known O2 concentration (determined via Winkler titration). Through laboratory simulation with de-oxygenated water we estimate that O2 contamination during sample transfer and measurement was 10micro-M and have subtracted this value from the data. The limit of detection was 10micro-M and the precision was 2%.\n\nO2adj percent: Saturation of dissolved oxygen expressed relative to air-equilibrated water at the temperature of the sample. Units are %. The air-equilibrated O2 concentration was calculated for each sample using the Bunsen solubility coefficient for O2 and the temperature of the sample (determined during pH measurement, see below). O2 sat = 100 x O2adj (see above) divided by the air-equilibrated O2 concentration.\n\npH of porewater sample prior to 15N injection. After the O2 concentration of the porewater was measured (see above) a calibrated pH probe (VWR 100) was placed in the solution and the temperature and pH was recorded.\n\nTemperature units are degrees centigrade.\n\nWater samples for nutrients were filtered through 0.45 micron filters (polypropylene). Samples for nutrient analysis were frozen at -20ºC before analysis.\nIn the permeable sandy sediments, nitrate reduction was measured by 'push-pull' using techniques in Lansdown et al. (2014). In the main piezometer network described in Shelley et al (2017), a tracer containing 15N-labelled nitrate (300 micro-M (M), 98 atom percent 15N) in a de-oxygenated synthetic river water plus KCl matrix was injected into the riverbed and porewater samples recovered over time (Lansdown et al. (2014)). A helium headspace was added to the water samples, the 15N-labelled N2 content was determined by mass spectrometry.\n\nData marked as 0 were below the detection limit of the method. Data marked ND were either no data collected or a sample lost.","locations":["POLYGON((0.797 51.007, 0.797 51.02, 0.821 51.02, 0.821 51.007, 0.797 51.007))"],"metadataDate":"2026-07-25T06:58:14.000Z","orcid":["0000-0002-9859-5537"],"organisation":["Queen Mary University of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7ded510f-3955-4b92-851d-29c0f79a0b99","10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99","doi:10.5285/7ded510f-3955-4b92-851d-29c0f79a0b99"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains results from in situ field measurements of riverbed nitrogen transformations in the Hammer Stream, a sandy tributary of the River Rother in West Sussex, UK. Measurements were performed in November 2014 and February, April and July 2015. The data…","state":"published","supplementalDescription":["Shelley, F., Klaar, M., Krause, S., & Trimmer, M. (2017). Enhanced hyporheic exchange flow around woody debris does not increase nitrate reduction in a sandy streambed. Biogeochemistry, 136(3), 353-372. ","Krause, S., Klaar, M. J., Hannah, D. M., Mant, J., Bridgeman, J., Trimmer, M., & Manning-Jones, S. (2014). The potential of large woody debris to alter biogeochemical processes and ecosystem services in lowland rivers. Wiley Interdisciplinary Reviews: Water, 1(3), 263-275.","Lansdown, K., Heppell, C. M., Trimmer, M., Binley, A., Heathwaite, A. L., Byrne, P., & Zhang, H. (2015). The interplay between transport and reaction rates as controls on nitrate attenuation in permeable, streambed sediments. Journal of Geophysical Research: Biogeosciences, 120(6), 1093-1109."],"temporalExtentText":"Data collected from 2014 to 2017","title":"The influence of large woody debris (LWD) on in situ riverbed nitrogen transformations in the Hammer Stream (Hampshire, UK)","topic":["0/Water quality/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Brereton","Harrower","Middlebrook","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harrower, C.","Middlebrook, I.","Roy, D.B."],"authorGivenName":["M.","T.","C.","I.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last appearance, date of peak abundance and mean flight date) and the duration (total number of days, standard deviation around the mean flight date) of the flight period for all UK butterfly species from 1976 to the present year.  In addition, this data is divided each year for eleven multi-voltine species to provide separate phenology data for distinct flight periods associated with first and subsequent generations.  \n\nPhenology change is a widely used measure of the biological impacts of climate change because of the close relationship between temperature and the timing of biological events. This dataset provides an invaluable tool for assessing the impacts of climate change both spatially and temporally.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Brereton","Harrower","Middlebrook","Roy"],"fullName":["Botham, M.","Brereton, T.","Harrower, C.","Middlebrook, I.","Roy, D.B."],"funder":["Natural Environment Research Council"],"givenName":["M.","T.","C.","I.","D.B.","Marc"],"grant":["NE/R016429/1"],"identifier":"4bc7bb9f-4a7a-46ff-aa63-2747e248fd1e","incomingCitationCount":0,"keyword":["Biodiversity","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Phenology data include measurements of the timing and duration of flight periods for each butterfly species at each site in each year it was recorded there. Data on timing include the first day and last day on which a given species was recorded at each site in each year, the day on which the greatest (peak) count of each species was recorded for each site in each year, and the mean flight date (a weighted mean day number) for each species at each site in each year. Data on the duration of flight periods include the standard deviation around the mean flight date and the number of days (range) between the first and last days on which a species was recorded on a given site in each year it was recorded there.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:20:19.000Z","orcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4bc7bb9f-4a7a-46ff-aa63-2747e248fd1e","10.5285/4bc7bb9f-4a7a-46ff-aa63-2747e248fd1e","doi:10.5285/4bc7bb9f-4a7a-46ff-aa63-2747e248fd1e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last…","state":"published","supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 2019 to 2019","title":"United Kingdom Butterfly Monitoring Scheme: phenology 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Metcalf","Messer","White","Ormsby","Matallana-Surget","Quilliam"],"authorFullName":["Metcalf, R.","Messer, L.","White, H.L.","Ormsby, M.","Matallana-Surget, S.","Quilliam, R."],"authorGivenName":["R.","L.","H.L.","M.","S."],"authorOrcid":["0000-0002-1463-427X","0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset holds realistic environmental concentrations of potential pathogens colonising microplastic beads (nurdles) collected from ten Scottish beaches. Observed measures include concentrations and the present genes of Klebsiella bacteria isolated from the nurdles, as well as the salinity, electrical conductivity, turbidity, and polymer composition of the nurdles. \n\nIn addition, an infection experiment was conducted to measure the virulence of the Klebsiella bacteria. Galleria melonella larvae were infected with the isolated Klebsiella bacteria and the number of living larvae was recorded. \n","documentType":"GEMINI_DOCUMENT","familyName":["Metcalf","Messer","White","Ormsby","Matallana-Surget","Quilliam"],"fullName":["Metcalf, R.","Messer, L.","White, H.L.","Ormsby, M.","Matallana-Surget, S.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["R.","L.","H.L.","M.","S."],"grant":["NE/S005196/1","NE/V005847/1"],"identifier":"fdd72810-a57f-444f-83cf-f2351ef4c940","incomingCitationCount":0,"keyword":["Environmental survey","Pollution","public health","plastic pollution","human pathogens","plastisphere","antimicrobial resistance","virulence"],"keywordsOther":["public health","plastic pollution","human pathogens","plastisphere","antimicrobial resistance","virulence"],"keywordsTheme":["Environmental survey","Pollution"],"licence":"Open government licence","lineage":"Microplastic beads were collected from ten Scottish beaches (Erskine, Yellowcraig, Largs, Irvine, Ayr, Turnberry, Montrose, Broughty Ferry, Portobello and Eyemouth) and bacteria were removed for quantification of target bacteria. Bacteria were quantified using selective media and positive colony-forming units (CFU) were enumerated. \n\nWater temperature and salinity at each site were also measured with a thermometer and a salinity refractometer (RGBS).\n\nFourier Transform Infrared Spectrometry (FTIR) was conducted on a Thermo Scientific Nicolet is50 FTIR to identify the polymer composition of the nurdles.\n\nThe virulence of the isolated Klebsiella was studied for one of the sites, Brought Ferry. Galleria mellonella model of infection was used to determine the virulence of each of the selected Klebsiella strains following their isolation from the microplastic beads and sand. After injection, larvae were incubated at and inspected 24, 48 and 72 h post-injection; larvae were considered dead when they did not respond to touch stimuli.\n","locations":["POLYGON((-7.796 54.677, -7.796 58.005, -1.081 58.005, -1.081 54.677, -7.796 54.677))"],"metadataDate":"2026-07-25T18:11:34.000Z","orcid":["0000-0002-1463-427X","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fdd72810-a57f-444f-83cf-f2351ef4c940","10.5285/fdd72810-a57f-444f-83cf-f2351ef4c940","doi:10.5285/fdd72810-a57f-444f-83cf-f2351ef4c940"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset holds realistic environmental concentrations of potential pathogens colonising microplastic beads (nurdles) collected from ten Scottish beaches. Observed measures include concentrations and the present genes of Klebsiella bacteria isolated from the nurdles,…","state":"published","supplementalDescription":["Related omic data is stored on the National Center for Biotechnology Information"],"temporalExtentText":"Data collected from 2022 to 2022","title":"Nurdle characteristics with associated bacterial concentrations and virulence of Klebsiella isolates from Scottish beaches, 2022","topic":["0/Environmental survey/","0/Pollution/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Nairobi","International Livestock Research Institute (ILRI) Kenya"],"authorFamilyName":["Bukachi","Mwihaki","Grace","Bett"],"authorFullName":["Bukachi, S.A.","Mwihaki, C.","Grace, D.","Bett, B."],"authorGivenName":["S.A","C.","D.","B."],"authorOrcid":["0000-0002-1931-1891","0000-0002-0195-9489","0000-0001-9376-2941"],"authorRor":["https://ror.org/02y9nww90","https://ror.org/01jxjwb74"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text","Comma-separated values (CSV)"],"description":"The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in northeastern Kenya. The second comprises of scores from proportional piling exercises which showed the distribution of wealth categories and livestock species kept. The study was conducted between August and October, 2013 and the data were collected as open-ended meeting notes and audio clips captured using digital recorders. Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. Thirteen FGDs were held in the irrigated areas in Bura and Hola, Tana River County involving farmers who grew a variety of crops for subsistence and commercial purposes. The others were held in Ijara and Sangailu, Garissa County inhabited by transhumance pastoralists. Each group comprised of 10 to 12 people and the discussions were guided by a check list. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. The aim of the study was to collate perceptions of land use change and their effects on ecosystem services.\n\nThe data were collected by enumerators trained by experienced researchers from the University of Nairobi and the International Livestock Research Institute (Kenya).\n\nThis dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the CGIAR Research Program Agriculture for Nutrition and Health.","documentType":"GEMINI_DOCUMENT","familyName":["Bukachi","Mwihaki","Grace","Bett"],"fullName":["Bukachi, S.A.","Mwihaki, C.","Grace, D.","Bett, B."],"givenName":["S.A","C.","D.","B."],"identifier":"4f569d73-30c5-4b12-bca7-8901fb567594","incomingCitationCount":1,"keyword":["Kenya","Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)","Ecosystem services","pastoralism","wealth categories","livelihoods","ecosystem services","irrigation","infectious disease"],"keywordsOther":["pastoralism","wealth categories","livelihoods","ecosystem services","irrigation","infectious disease"],"keywordsPlace":["Kenya"],"keywordsProject":["Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"Records from the digital recorders were transcribed and cross-checked with the notes made in the course of the meeting for quality control.  Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. Transcripts were analysed according to the framework developed by Hennink et al. (2011). The data were split into two: (i) responses to open ended questions stored as text files, and (ii) scores from proportional piling exercises which showed the distribution of wealth categories (rich, moderate and poor categories) and livestock species kept (cattle, sheep, goats, camels, chicken and donkeys). These scores were entered into Microsoft Excel and saved as a csv file for use in statistical analysis that employed non-parametric tests. Variables that are common between these two datasets are: date of the field survey (date), study site, village and group (men only, women only or mixed) involved in the discussions. Data was exported from the Excel files as .csv files for ingestion into the EIDC. The Microsoft Word files were exported as .txt files for ingestion into the EIDC.","locations":["POLYGON((38.93 -1.89, 38.93 -0.64, 41.14 -0.64, 41.14 -1.89, 38.93 -1.89))"],"metadataDate":"2026-09-15T08:44:56.000Z","orcid":["0000-0002-1931-1891","0000-0002-0195-9489","0000-0001-9376-2941"],"organisation":["University of Nairobi","International Livestock Research Institute (ILRI) Kenya","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4f569d73-30c5-4b12-bca7-8901fb567594","10.5285/4f569d73-30c5-4b12-bca7-8901fb567594","doi:10.5285/4f569d73-30c5-4b12-bca7-8901fb567594"],"resourceType":"Dataset","ror":["https://ror.org/02y9nww90","https://ror.org/01jxjwb74","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Garbutt"],"authorFullName":["Garbutt, A."],"authorGivenName":["Angus"],"authorOrcid":["0000-0002-9145-9786"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bed level data are presented from transects at the Tollesbury Managed Realignment site, after the managed breaching of the sea wall in August 1995. Twenty measurements were taken at fixed positions along transects relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. Measurements were made to the nearest millimetre using a ruler. All measurements were made by the data author. Data from the original transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. Extra transects were added in April 1999 and data collected at the same frequency.\n\nThe data were collected investigate if the exposure of the agricultural land to seawater would result in the accumulation of silt. The work was funded by the Department for Environment Food & Rural Affairs (Defra) under the Centre for Ecology & Hydrology (CEH) contract C00356","documentType":"GEMINI_DOCUMENT","familyName":["Garbutt"],"fullName":["Garbutt, A."],"funder":["Natural Environment Research Council"],"givenName":["Angus"],"identifier":"f9513ece-a913-4774-8808-273dcf7ed0be","incomingCitationCount":1,"keyword":["Tollesbury","Managed realignment","Bed Level","sediment","salt marsh"],"keywordsOther":["Managed realignment","Bed Level","sediment","salt marsh"],"keywordsPlace":["Tollesbury"],"licence":"Open government licence","lineage":"At the Tollesbury Managed Realignment site (TL 960 110), prior to breaching the sea wall in August 1995, twenty 2 metre wide transects were randomly located within the site to measure sedimentation rates. Twenty measurements were taken at fixed positions along each transect relative to an aluminium bar placed across a pair of permanent wooden posts at either end of each transect. The height from the aluminium bar to the salt marsh surface was measured using a ruler to the nearest millimetre. Measurements were recorded in a field note book.\n\nData from these transects were collected monthly from September 1995 to 1998, bimonthly up to 2000 and then in April and September to 2007. In April 1999, five additional sediment transects were set up inside the site in areas thought to be eroding, and were not covered by the 20 transects already in place. Data from these transects were collected in April and September to 2007.\n\nData was transposed from the field notebook into an Excel spreadsheet. Data were exported as a comma separated value file for ingestion into the EIDC.","locations":["POLYGON((0.766 51.72, 0.766 51.801, 0.943 51.801, 0.943 51.72, 0.766 51.72))"],"metadataDate":"2026-09-15T08:44:27.000Z","orcid":["0000-0002-9145-9786"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9513ece-a913-4774-8808-273dcf7ed0be","10.5285/f9513ece-a913-4774-8808-273dcf7ed0be","doi:10.5285/f9513ece-a913-4774-8808-273dcf7ed0be"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Bed level data are presented from transects at the Tollesbury Managed Realignment site, after the managed breaching of the sea wall in August 1995. Twenty measurements were taken at fixed positions along transects relative to an aluminium bar placed across a pair of…","state":"published","supplementalName":["Technical report for the project"],"temporalExtentText":"Data collected from 1995 to 2007","title":"Bed level change within the Tollesbury managed realignment site, Blackwater estuary, Essex, UK between 1995 and 2007","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Glasgow","Lancaster University"],"authorFamilyName":["Richardson","Waldron","Whitaker","Ostle"],"authorFullName":["Richardson, H.","Waldron, S.","Whitaker, J.","Ostle, N."],"authorGivenName":["H.","S.","J.","N."],"authorOrcid":["0000-0001-8824-471X","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data comprise carbon dioxide and methane fluxes in peat, litter mass remaining and respiration rate data from litter bags on peat mesocosms, and biochemical and physical properties of peat. Data was collected in from the first laboratory study, which focused on identifying the interactive effects of small-scale temperature change, water table level and plant functional type legacy effects in peat on carbon dioxide (CO2) and methane (CH4) fluxes from peat collected from Black Law Wind Farm, Lanarkshire, Scotland. Data includes CO2 and CH4 fluxes from peat mesocosms (sampled in May 2011), measured six times from October 2011 to September 2012. Data collected from the second laboratory study between October 2012 and October 2013 focused on identifying the interactive effects of small-scale temperature change and plant functional type legacy effects in peat and litter on decomposition in peatlands, and included litter mass remaining (% of initial litter mass) and respiration rate data from litter bags on peat mesocosms. Peat and litter used in this laboratory study were collected from blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland in October 2012.\n\nPeat and litter used in both studies were analysed for their biochemical and physical properties. Biochemical and physical properties data for the first laboratory study includes bulk density, pH, total carbon (C) content, total nitrogen (N) content, ratio of C to N, C stock, N stock, total phospholipid fatty acids (PLFAs), total fungal PLFAs, total bacterial PLFAs, ratio of fungal to bacterial PLFAs, total gram-positive bacterial PLFAs, total gram-negative bacterial PLFAs and ratio of gram-positive to gram-negative bacterial PLFAs of peat. Biochemical and physical properties data for the second laboratory study include total carbon (C) content, total nitrogen (N) content and the ratio of C to N for peat and litter. Biochemical and physical data properties for peat and litter were used to better understand the effects of plant functional type legacy on greenhouse gas fluxes and litter decomposition. ","documentType":"GEMINI_DOCUMENT","familyName":["Richardson","Waldron","Whitaker","Ostle"],"fullName":["Richardson, H.","Waldron, S.","Whitaker, J.","Ostle, N."],"givenName":["H.","S.","J.","N.","Jeanette"],"identifier":"e15fbbab-1cdd-4509-81a3-aa050e927dd0","incomingCitationCount":0,"keyword":["Black Law Wind Farm","South Lanarkshire","Scotland","greenhouse gas flux","peatland","carbon","flux","GHG","GC","soil biological and chemical properties","peat","greenhouse gas","litter"],"keywordsOther":["greenhouse gas flux","peatland","carbon","flux","GHG","GC","soil biological and chemical properties","peat","greenhouse gas","litter"],"keywordsPlace":["Black Law Wind Farm","South Lanarkshire","Scotland"],"licence":"Open government licence","lineage":"Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data was collected from the first laboratory study, which focused on identifying the interactive effects of small-scale temperature change, water table level and plant functional type legacy effects in peat on carbon dioxide (CO2) and methane (CH4) fluxes from peat collected from Black Law Wind Farm, Lanarkshire, Scotland. Data includes CO2 and CH4 fluxes from peat mesocosms, measured six times from October 2011 to September 2012. Data collected from the second laboratory study, which focused on identifying the interactive effects of small-scale temperature change and plant functional type legacy effects in peat and litter on decomposition in peatlands, included litter mass remaining (percent of initial litter mass) and respiration rate data from litter bags on peat mesocosms. Peat and litter used in this laboratory study were also collected from blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland. Peat and litter used in both studies were analysed for their biochemical and physical properties. Biochemical and physical properties data for the first laboratory study includes bulk density, pH, total carbon (C) content, total nitrogen (N) content, ratio of C to N, C stock, N stock, total phospholipid fatty acids (PLFAs), total fungal PLFAs, total bacterial PLFAs, ratio of fungal to bacterial PLFAs, total gram-positive bacterial PLFAs, total gram-negative bacterial PLFAs and ratio of gram-positive to gram-negative bacterial PLFAs of peat. Biochemical and physical properties data for the second laboratory study include total carbon (C) content, total nitrogen (N) content and the ratio of C to N for peat and litter. Biochemical and physical data properties for peat and litter were used to better understand the effects of plant functional type legacy on greenhouse gas fluxes and litter decomposition. ","metadataDate":"2026-09-15T08:40:27.000Z","orcid":["0000-0001-8824-471X","0000-0003-3263-3702"],"organisation":["Centre for Ecology & Hydrology","University of Glasgow","Lancaster University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1434459775402","CEH:EIDC::1434459775402","https://catalogue.ceh.ac.uk/id/e15fbbab-1cdd-4509-81a3-aa050e927dd0","10.5285/e15fbbab-1cdd-4509-81a3-aa050e927dd0","doi:10.5285/e15fbbab-1cdd-4509-81a3-aa050e927dd0"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data comprise carbon dioxide and methane fluxes in peat, litter mass remaining and respiration rate data from litter bags on…","state":"published","temporalExtentText":"Data collected from 2011 to 2013","title":"Measures of peatland carbon cycling from peat mesocosm incubation experiments","version":1.0,"view":["public","jgar"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}