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Dublin"],"authorFamilyName":["Marsh","Raulo","Brouard","Coulson","Knowles","English"],"authorFullName":["Marsh, K.","Raulo, A.","Brouard, M.","Coulson, T.","Knowles, S.C.L.","English, H."],"authorGivenName":["K.","A.","M.","T.","S.C.L.","H."],"authorOrcid":["0000-0002-0515-9518","0000-0003-4860-7840","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623","0000-0002-8854-6707"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/052gg0110","https://ror.org/05m7pjf47"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)",".rds"],"description":"This dataset is a combination of data obtained from a longitudinal live trapping study of wild rodents in Wytham Woods, Oxford (51.796 N,-1.367 W); October 2015-18), a dissection study of rodents caught in the same woodland (October 2017-18), and a diet shift experiment on a captive colony of wood mice housed at the University of Edinburgh (May 2017).\n\nThe longitudinal live trapping study dataset contains trapping data and data on the gut microbiome composition, diet and gut parasite infection of individually-identifiable rodents. Three species of rodents were trapped with Sherman live-traps fortnightly for 3 years: wood mice (Apodemus sylvaticus), yellow-necked mice (Apodemus flavicollis) and bank voles (Myodes glaerolus). Upon capture, they were injected with a passive integrated transponder (PIT) tag, measured, weighted, sexed, aged and a faecal sample was collected from individuals for microbiome, diet and parasite analyses. All rodents were released to their location of capture. \n\nThe dissection study contains trapping data, gut microbiome and parasite infection data. Wood mice were trapped fortnightly for one year with Sherman live-traps at least 300m away from the longitudinal sampling grid. Individuals that had been captured and marked with a PIT tag as part of the longitudinal study were released along with other rodents species and juvenile or pregnant individuals (only non-marked adult wood mice were sampled). Wood mice were euthanized (with ethical approval) and their gastrointestinal tract dissected for counts of gut helminths. Samples from along the gastrointestinal tract were taken for gut microbiome analysis. \n\nThe diet shift experiment dataset contains data on experimental diet treatments and gut microbiome composition of wood mice captively bred in a facility at the University of Edinburgh.  Wood mice were given diets varying in the ratio of food supplementation (dried mealworm and/or peanut) and faecal samples taken periodically over 30 days to measure changes in gut microbiome composition and function.\n\nSamples for microbiome and diet characterization were stored without buffer at -80̊C. Samples for parasite detection were stored in 10% formalin and refrigerated at 4̊C.\n\nThis work was funded by a NERC independent Research Fellowship.","documentType":"GEMINI_DOCUMENT","familyName":["Marsh","Raulo","Brouard","Coulson","Knowles","English"],"fullName":["Marsh, K.","Raulo, A.","Brouard, M.","Coulson, T.","Knowles, S.C.L.","English, H."],"funder":["Natural Environment Research Council"],"givenName":["K.","A.","M.","T.","S.C.L.","H."],"grant":["NE/L011867/1"],"identifier":"4f454849-0d30-4c27-ad5b-d285e461bedc","incomingCitationCount":0,"keyword":["Microbiome","microbiota","transmission","gut microbiome","Sherman","wild mouse","wood mouse"," Apodemus","diet","metabarcoding","metabolite","fecal flotation","gut helminth","parasite","trapping"],"keywordsOther":["Microbiome","microbiota","transmission","gut microbiome","Sherman","wild mouse","wood mouse"," Apodemus","diet","metabarcoding","metabolite","fecal flotation","gut helminth","parasite","trapping"],"licence":"Open government licence","lineage":"Data and sample collection:\n - Wytham longitudinal study – Fortnightly for three years from October 2015-18.\n - Wytham dissection study – Fortnightly for one year from October 2017-18.\n - Diet shift experiment – Daily for one month (May 2017).\n\nSample processing:\nDNA from the first year of the Wytham longitudinal study plus diet shift experiment faecal samples was extracted and sequenced in winter 2017 for microbiome composition using the V4-V5 region of bacterial 16S rRNA marker gene. DNA from the last two years of the Wytham longitudinal study and the dissection study samples was extracted and sequenced in early 2019 for microbiome composition.\n\nDiet composition in the Wytham longitudinal study samples was determined by amplification and sequencing of the rbcL gene in winter 2019.\n\nMetabolomics analysis of frozen faecal samples from the Wytham longitudinal and diet shift experiment studies was done in winter 2019 using Gas Chromatography- Mass Spectrometry methods to provide data on microbiome function.\n\nParasite detection in formalin-stored faecal samples from the Wytham longitudinal study was performed using faecal flotation techniques in winter 2017.\n\nDetails of the data generation and the cleaning process can be found from the documentation accompanying this data","locations":["POLYGON((-1.367 51.746, -1.367 51.796, -1.271 51.796, -1.271 51.746, -1.367 51.746))"],"metadataDate":"2026-07-24T21:22:22.000Z","orcid":["0000-0002-0515-9518","0000-0003-4860-7840","0000-0001-7183-4115","0000-0001-9371-9003","0000-0002-2368-4623","0000-0002-8854-6707"],"organisation":["University of Exeter","University of Oxford","University College Dublin","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4f454849-0d30-4c27-ad5b-d285e461bedc","10.5285/4f454849-0d30-4c27-ad5b-d285e461bedc","doi:10.5285/4f454849-0d30-4c27-ad5b-d285e461bedc"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/03yghzc09","https://ror.org/052gg0110","https://ror.org/05m7pjf47","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a combination of data obtained from a longitudinal live trapping study of wild rodents in Wytham Woods, Oxford (51.796 N,-1.367 W); October 2015-18), a dissection study of rodents caught in the same woodland (October 2017-18), and a diet shift experiment…","state":"published","supplementalDescription":["Marsh, K.J (2020). The wild mammalian microbiome: host-microbe interactions in a natural mouse model. PhD thesis. Royal Veterinary College, University of London.","Raw 16S sequence data is available on the European Nucleotide Archive under the project accession PRJEB49639. "],"supplementalName":["Synchronous seasonality in the gut microbiota of wild mouse populations.","The wild mammalian microbiome: host-microbe interactions in a natural mouse model","UK Wood mouse faecal microbiomes"],"temporalExtentText":"Data collected from 2015 to 2018","title":"Diet, gut microbiome and parasite data from wild rodents and diet shift data from captive rodents, 2014-2018","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Swansea University","US Forest Service","Instituto Mixto de Investigación en Biodiversidad","Forest Research"],"authorFamilyName":["Cabo","Santin","Doerr","Parsons","Hudak","Laino","Suarez-Minguez"],"authorFullName":["Cabo, C.","Santin, C.","Doerr, S.","Parsons, R.A.","Hudak, A.T.","Laino, D.","Suarez-Minguez, J.C."],"authorGivenName":["C.","S.","R.A.","A.T.","D.","J.C."],"authorOrcid":["0000-0002-0387-9052","0000-0001-9901-2658","0000-0002-8700-9002","0000-0001-5091-8993","0000-0001-7480-1458","0000-0002-7106-0559","0000-0001-5146-4065"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/02cp22d42","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":[".laz"],"description":"This dataset consists of high-resolution 3D point clouds of temperate forest stands of diverse species. The point clouds were obtained across the US and the UK during 2019 and 2020. The US point clouds were acquired using a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon and the UK point clouds were acquired using a GeoSLAM ZEB Horizon in Loch Lomond, Scotland. This dataset can be used to explore structural differences across forests and as test data for 3D point cloud pipelines.","documentType":"GEMINI_DOCUMENT","familyName":["Cabo","Santin","Doerr","Parsons","Hudak","Laino","Suarez-Minguez"," Laino"],"fullName":["Cabo, C.","Santin, C.","Doerr, S.","Parsons, R.A.","Hudak, A.T.","Laino, D.","Suarez-Minguez, J.C.","Diego Laino"],"funder":["Natural Environment Research Council"],"givenName":["C.","S.","R.A.","A.T.","D.","J.C.","D"],"grant":["NE/T001194/1"],"identifier":"ff062c22-1297-4819-a40f-6585209d4c5e","incomingCitationCount":0,"keyword":["Mapping","forestry","fuel","modelling","remote sensing"],"keywordsOther":["forestry","fuel","modelling","remote sensing"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"US Point clouds:\nPoint cloud acquisition was done between 8th and 12th July 2019 in a 200x200 m2 study plot of a ponderosa pine woodland in Sycan Marsh preserve, Oregon, USA. TLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. The point clouds have been acquired with a RIEGL-VZ400i TLS system with a laser sampling rate 750 kHz and a vertical sampling density of 0.21 degrees, mounted on a tripod at a minimum height of 1.5 m. Point cloud was georeferenced using the integrated L1 GPS receiver, compass and inclination sensors of the TLS system and ground control points whose coordinates were recorded were recorded using an RTK/Differential GPS receiver/base combination. The raw scans were pre-processed using Riegl's proprietary software RiSCAN PRO to assign metadata (scanner position, scan ID, date/time), align all scans into a common coordinate system and divide the total study area in 40 x 40 m2 plots (n = 25 plots). These resulting plots were finally stored into LAZ files.\n\nUK Point clouds:\nPoint cloud acquisition was done between 24th and 28th November 2020 in different plots of Loch Lomond. MLS point cloud sampling was performed along approximately 30x30 m plots. The point clouds have been acquired with a GeoSLAM ZEB Horizon handheld MLS system with a laser sampling rate 300 kHz and a vertical sampling density of 0.20 degrees, with a field of view of 360° x 270°. The raw scans were pre-processed using Faro's proprietary software Faro Connect to assign metadata (scanner position, scan ID, date/time), apply an SLAM algorithm to each scan to register the point clouds and to denoise them. The point clouds were then exported to CloudCompare to trim them to the final shapes. These resulting plots were finally stored into LAZ files","locations":["POLYGON((-127.259 23.745, -127.259 60.861, 1.768 60.861, 1.768 23.745, -127.259 23.745))"],"metadataDate":"2026-09-02T11:44:07.000Z","orcid":["0000-0002-0387-9052","0000-0001-9901-2658","0000-0002-8700-9002","0000-0001-5091-8993","0000-0001-7480-1458","0000-0002-7106-0559","0000-0001-5146-4065"],"organisation":["Swansea University","US Forest Service","Instituto Mixto de Investigación en Biodiversidad","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ff062c22-1297-4819-a40f-6585209d4c5e","10.5285/ff062c22-1297-4819-a40f-6585209d4c5e","doi:10.5285/ff062c22-1297-4819-a40f-6585209d4c5e"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/02cp22d42","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of high-resolution 3D point clouds of temperate forest stands of diverse species. The point clouds were obtained across the US and the UK during 2019 and 2020. The US point clouds were acquired using a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"3D point clouds of temperate forest stands in the UK and US, 2019-2020","topic":["0/Mapping/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Biomathematics and Statistics Scotland","UK Centre for Ecology & Hydrology","Norwegian Institute for Nature Research","SLR Consulting Limited","ABP Marine Environmental Research Ltd."],"authorFamilyName":["Frantsuzova","Butler","Searle","Bogdanova","Daunt","Fayet","Furness","Reiertsen","Skeate"],"authorFullName":["Frantsuzova, A.","Butler, A.","Searle, K.","Bogdanova, M.","Daunt, F.","Fayet, A.L.","Furness, R.","Reiertsen, T.K.","Skeate, E."],"authorGivenName":["Anastasia","Adam","Kate","Maria","Francis","Annette L.","Robert","Tone Kristin","Eleanor"],"authorRor":["https://ror.org/03jwrz939","https://ror.org/00pggkr55","https://ror.org/04aha0598"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about outputs of a video-conference expert elicitation exercise carried out in March 2023 to estimate demographic consequences of potential seabird compensatory measures within the context of protected breeding populations in the North Sea. The outputs comprise of expert judgements from 6 experts given as quantitative values (median, quantiles and range) for the impact of each potential compensation measure on seabird demography (survival and productivity) for a range of species or species groups, and the estimated parameters of a probability distribution fitted using these judgements. The list of measures and species to consider was decided by the experts. The elicitation exercise was organised and carried out by UKCEH and Biomathematics and Statistics, Scotland (BioSS). Distribution fitting was carried out by BioSS. One expert gave incomplete quantitative judgements, which were not included in the final estimation of distribution parameters.\n\nThis work was funded by NERC, The Crown Estate, Crown Estate Scotland and DEFRA  as part of the ECOWINGS project within the ECOWind programme","documentType":"GEMINI_DOCUMENT","familyName":["Frantsuzova","Butler","Searle","Bogdanova","Daunt","Fayet","Furness","Reiertsen","Skeate"],"fullName":["Frantsuzova, A.","Butler, A.","Searle, K.","Bogdanova, M.","Daunt, F.","Fayet, A.L.","Furness, R.","Reiertsen, T.K.","Skeate, E.","Anastasia Frantsuzova"],"funder":["Natural Environment Research Council"],"givenName":["Anastasia","Adam","Kate","Maria","Francis","Annette L.","Robert","Tone Kristin","Eleanor"],"grant":["NE/X009068/1"],"identifier":"8847e78c-8778-474b-b2a2-3931beeb0e1b","incomingCitationCount":0,"keyword":["Modelling","Environmental risk","expert elicitation","compensatory measure","species conservation","population viability","demography","conservation management","mitigation measure","ecological compensation","offshore wind farm","black-legged kittiwake","common guillemot","Atlantic puffin","razorbill","northern gannet","ecowings"],"keywordsOther":["expert elicitation","compensatory measure","species conservation","population viability","demography","conservation management","mitigation measure","ecological compensation","offshore wind farm","black-legged kittiwake","common guillemot","Atlantic puffin","razorbill","northern gannet","ecowings"],"keywordsTheme":["Modelling","Environmental risk"],"licence":"Open government licence","lineage":"The dataset consists of two CSV files containing expert judgements and fitted Beta distribution parameters. Values represent expert estimates of the potential change in breeding success and adult survival resulting from compensatory measures at bird colonies.  Expert judgements were collected using the Sheffield Elicitation Framework (SHELF) through a structured online elicitation process. Six experts were selected based on their expertise, career stage, gender and availability. They provided ranges and quantiles for each scenario, which were discussed within the expert group for internal consistency and physical plausibility. Individual judgements were anonymised and combined by the facilitators after each elicitation round. A Beta distribution was fitted to the judgements for each expert, measure and species. Experts reviewed the resulting distributions and probability curves and could refine their judgements following discussion.\n\nThe main limitations are that results depend on the selection and judgement of the experts and may be affected by cognitive biases, differences in interpretation or group dynamics. The fitted Beta distributions also impose assumptions about the shape of expert beliefs, particularly in the tails, and the available ranges and quantiles provide limited information about the underlying distributions. Consequently, fitted distributions may be sensitive to small changes in the elicited values and may not fully represent expert beliefs. Experts generally considered the Beta distribution to provide a reasonable representation. \n\nQuality control included checks for internal consistency, ensuring quantiles followed a valid order and fell within the specified ranges, and checks that ranges and quantiles were within physically reasonable limits. Overlap between expert ranges and the spread of quantiles were also assessed. Experts received training and example judgements, with facilitator oversight supporting adherence to the elicitation protocol.","locations":["POLYGON((-3.58 54.765, -3.58 58.404, 3.059 58.404, 3.059 54.765, -3.58 54.765))"],"metadataDate":"2026-09-22T07:57:47.000Z","organisation":["Biomathematics and Statistics Scotland","UK Centre for Ecology & Hydrology","Norwegian Institute for Nature Research","SLR Consulting Limited","ABP Marine Environmental Research Ltd.","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-09-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8847e78c-8778-474b-b2a2-3931beeb0e1b","10.5285/8847e78c-8778-474b-b2a2-3931beeb0e1b","doi:10.5285/8847e78c-8778-474b-b2a2-3931beeb0e1b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Biomathematics and Statistics Scotland"],"ror":["https://ror.org/03jwrz939","https://ror.org/00pggkr55","https://ror.org/04aha0598","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about outputs of a video-conference expert elicitation exercise carried out in March 2023 to estimate demographic consequences of potential seabird compensatory measures within the context of protected breeding populations in the North…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Demographic consequences of potential seabird compensatory measures relating to protected breeding populations in the North Sea, UK, from an expert elicitation exercise","topic":["0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Norton","McCracken","Wood","Maskell","Staley","Henrys","Pallet","Mitschunas","Patton","Ryder","Harvey","Reid","Thornley","Boswell"],"authorFullName":["Norton, L.R.","McCracken, M.","Wood, C.M.","Maskell, L.C.","Staley, J.T.","Henrys, P.A.","Pallet, D.","Mitschunas, N.","Patton, J.","Ryder, K.","Harvey, A.","Reid, J.","Thornley, R.","Boswell, G."],"authorGivenName":["L.R.","M.","C.M.","L.C.","J.T.","P.A.","D.","N.","J.","K.","A.","R.","G."],"authorOrcid":["0000-0002-1622-0281","0000-0002-8298-8838","0000-0002-0394-2998","0000-0003-4006-7755","0000-0001-6467-3712","0000-0002-3981-6547","0009-0002-2534-8938"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of lengths and condition information recorded from woody linear features (hedges), recorded from 248 1km squares across England in 2022 and 2023, as part of a survey of hedges funded by Natural England. \n\nThe survey sites belong to the UKCEH Countryside Survey, which is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time.","documentType":"GEMINI_DOCUMENT","familyName":["Norton","McCracken","Wood","Maskell","Staley","Henrys","Pallet","Mitschunas","Patton","Ryder","Harvey","Reid","Thornley","Boswell"],"fullName":["Norton, L.R.","McCracken, M.","Wood, C.M.","Maskell, L.C.","Staley, J.T.","Henrys, P.A.","Pallet, D.","Mitschunas, N.","Patton, J.","Ryder, K.","Harvey, A.","Reid, J.","Thornley, R.","Boswell, G."],"funder":["Natural England"],"givenName":["L.R.","M.","C.M.","L.C.","J.T.","P.A.","D.","N.","J.","K.","A.","R.","G."],"identifier":"02748dfd-e33f-459f-babb-7a7836cbdecc","incomingCitationCount":0,"keyword":["England","Biodiversity","Environmental survey","woody linear features","hedge","hedge condition"],"keywordsOther":["woody linear features","hedge","hedge condition"],"keywordsPlace":["England"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2022 and 2023 by professional, trained surveyors. Data were recorded from 248 x 1km squares sited across England, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standard Countryside Survey methodology was applied (refer to the online documentation).","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T18:52:25.000Z","orcid":["0000-0002-1622-0281","0000-0002-8298-8838","0000-0002-0394-2998","0000-0003-4006-7755","0000-0001-6467-3712","0000-0002-3981-6547","0009-0002-2534-8938"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/02748dfd-e33f-459f-babb-7a7836cbdecc","10.5285/02748dfd-e33f-459f-babb-7a7836cbdecc","doi:10.5285/02748dfd-e33f-459f-babb-7a7836cbdecc"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of lengths and condition information recorded from woody linear features (hedges), recorded from 248 1km squares across England in 2022 and 2023, as part of a survey of hedges funded by Natural England. \n\nThe survey sites belong to the UKCEH Countryside…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Hedge length and condition data from UKCEH Countryside Survey sites, England, 2022-2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"authorFullName":["Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R."],"authorGivenName":["Michael","Luke","Rosie","Hannah","Richard"],"authorOrcid":["0000-0002-3991-2336","0000-0003-2530-2120","0009-0003-8928-2189","0000-0001-9842-7798","0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial concentration (CFU/ml). Data were sampled over defined periods using culture-based approaches.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"fullName":["Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R.","Michael Ormsby"],"funder":["Natural Environment Research Council"],"givenName":["Michael","Luke","Rosie","Hannah","Richard"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"abbc69c2-b799-4892-a339-fb1ffa4ea2f0","incomingCitationCount":0,"keyword":["Environmental risk","Water quality","Plastisphere","Biofilm","AMR","coliform bacterium","E. coli","waste water"],"keywordsOther":["Plastisphere","Biofilm","AMR","coliform bacterium","E. coli","waste water"],"keywordsTheme":["Environmental risk","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence,  and survival of a clinically relevant strain of E. coli. Bacteria were cultured on materials (Banana Leaf and HDPE) and analysed for persistence over time. Materials (Banana Leaf and HDPE) were prepared and inoculated under controlled laboratory conditions. E. coli strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days).  The experiments utilised standard laboratory equipment such as 96-well plates and incubators. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.\n","metadataDate":"2026-07-29T12:03:47.000Z","orcid":["0000-0002-3991-2336","0000-0003-2530-2120","0009-0003-8928-2189","0000-0001-9842-7798","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","doi:10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial…","state":"published","title":"Colonisation rates of E. coli on plastic and banana leaf under simulated environmental conditions","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Rothamsted Research","Forest Research","University of Warwick"],"authorFamilyName":["Milne","Alonso Chavez","Brown","Parnell"],"authorFullName":["Milne, A.","Alonso Chavez, V.","Brown, N.","Parnell, S."],"authorGivenName":["A.","V.","N. ","S."],"authorOrcid":["0000-0002-4509-0578","0000-0003-3506-7603","0000-0003-3590-0538","0000-0002-3039-1159"],"authorRor":["https://ror.org/0347fy350","https://ror.org/03wcc3744","https://ror.org/01a77tt86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Plain text","Header file (.h)","CPP"],"description":"This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%).  \n\nThe model outputs can be used to predict the best places to locate surveillance technologies (i.e., girdled trees or traps) and included in this dataset are optimised trap locations for 27 scenarios (three trapping types for each of the nine different scenarios). ","documentType":"GEMINI_DOCUMENT","familyName":["Milne","Alonso Chavez","Brown","Parnell"],"fullName":["Milne, A.","Alonso Chavez, V.","Brown, N.","Parnell, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","V.","N. ","S."],"grant":["NE/T007729/1"],"identifier":"6209742a-bfd6-4fbc-9b40-29d7d75d57b4","incomingCitationCount":0,"keyword":["Great Britain","Invasive species","simulated spread","optimal sampling locations","Agrilus planipennis","trade activity"],"keywordsOther":["simulated spread","optimal sampling locations","Agrilus planipennis","trade activity"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"The model requires the entry point to be initialized. We developed maps to identify the most likely first incursion point at locations across Great Britain on a 1km x 1km grid. These maps were informed by data from the forestry commission on likely entry points, and data on firewood use. When creating these maps, we considered nine scenarios related to how certain we are that EAB will arrive through known pathways related to wood imports (70%, 50%, 30%) and the probability that EAB would escape at port rather than at the onwards depots (25%, 50%, 75%).  For each scenario we sampled 10000 realizations for likely entry points.  These form the inputs to our model.\n\nThe model is set up to run for annual time steps for 8 years. For each simulated year the larval density and tree health is recorded in infested cells and reported in output files. The model is currently set up to do this for up to 10000 realizations of entry point. The data in the output file can then be used to optimize surveillance. We did this using simulated annealing for three trapping types (Girdled, sticky straps and under bark sampling) in the nine different scenarios. \n\nThe model code was developed in Visual Studio, but plain text files have been provided so that the code can be compiled and run outside of Visual Studio. The model code was checked for errors and the outputs were validated, as far as possible, against spread characteristics from the US. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:43:29.000Z","orcid":["0000-0002-4509-0578","0000-0003-3506-7603","0000-0003-3590-0538","0000-0002-3039-1159"],"organisation":["Rothamsted Research","Forest Research","University of Warwick","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6209742a-bfd6-4fbc-9b40-29d7d75d57b4","10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4","doi:10.5285/6209742a-bfd6-4fbc-9b40-29d7d75d57b4"],"resourceType":"Dataset","rightsHolder":["Rothamsted Research"],"ror":["https://ror.org/0347fy350","https://ror.org/03wcc3744","https://ror.org/01a77tt86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a model, input data and outputs of the Emerald Ash Borer (EAB; Agrilus planipennis) lifecycle and spread across Great Britain. Nine different scenarios are considered related to how certain we are that EAB will arrive through known pathways related…","state":"published","title":"Simulations of Emerald Ash Borer (EAB) spread in Great Britain with optimised surveillance","topic":["0/Invasive species/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["British Trust for Ornithology","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Siriwardena","Taylor","Norfolk","Jones","Alison","Astbury","Burden","Emmett","Garbutt","Henrys","Owen","Smart","Sharps","Williams","Wood"],"authorFullName":["Siriwardena, G.M.","Taylor, R.M.","Norfolk, D.","Jones, K.","Alison, J.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Owen, A.","Smart, S.M.","Sharps, K.","Williams, B.","Wood, C.M."],"authorGivenName":["G.M.","R.M.","D.","K.","J.","S.","A.","B.A.","P.A.","S.M.","B.","C.M."],"authorOrcid":["0000-0003-2010-1186","0000-0003-3365-3908","0000-0002-6787-6192","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-3265-1505","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.\n\nThe field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Siriwardena","Taylor","Norfolk","Jones","Alison","Astbury","Burden","Emmett","Garbutt","Henrys","Owen","Smart","Sharps","Williams","Wood"],"fullName":["Siriwardena, G.M.","Taylor, R.M.","Norfolk, D.","Jones, K.","Alison, J.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Owen, A.","Smart, S.M.","Sharps, K.","Williams, B.","Wood, C.M."],"funder":["Welsh Government"],"givenName":["G.M.","R.M.","D.","K.","J.","S.","A.","B.A.","P.A.","S.M.","B.","C.M."],"identifier":"31da0a94-62be-47b3-b76e-4bdef3037360","incomingCitationCount":1,"keyword":["Wales","Glastir Monitoring and Evaluation Programme (GMEP)","Environmental survey","Biodiversity","agri-environment scheme","bird"],"keywordsOther":["agri-environment scheme","bird"],"keywordsPlace":["Wales"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Environmental survey","Biodiversity"],"licence":"Open government licence","lineage":"The surveys consisted of four (reduced to three from 2015-16 onwards) visits to each square by trained, professional surveyors using standardised protocols. Surveys were equally spaced through mid-March to mid-July. On each visit, the surveyor walked a route that passed within 50m of all parts of the survey square to which access had been secured, beginning at around 06:00 and taking up to five hours. Surveys were not conducted in conditions known to affect the detection of birds, i.e. strong winds and more than light rain. The survey route was started in different places on each visit, so that all areas were visited at least once before 08:00. All birds seen or heard were recorded on high-resolution field maps using standard BTO activity codes. Recording and standardizing route coverage (where surveyors actually walked) was important both between visits and to ensure comparable repeat coverage when squares are revisited.\n\nData were recorded on standard forms and field maps, which were collated in the British Trust for Ornithology (BTO) Wales office in Bangor and sent to the BTO head office for digital inputting, after being copied physically and electronically in Bangor.  Data were then digitized using ArcMap (versions up to v10.5).  The process included checking of uncertain counts, species codes and identifications, for which the digitizer checked the data with the surveyor if necessary, before making a judgement on likely record accuracy. Additional checks were intrinsic to subsequent data processing before being loaded into a final database at UKCEH.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-24T20:34:20.000Z","orcid":["0000-0003-2010-1186","0000-0003-3365-3908","0000-0002-6787-6192","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-3265-1505","0000-0002-0394-2998"],"organisation":["British Trust for Ornithology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31da0a94-62be-47b3-b76e-4bdef3037360","10.5285/31da0a94-62be-47b3-b76e-4bdef3037360","doi:10.5285/31da0a94-62be-47b3-b76e-4bdef3037360"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir…","state":"published","supplementalDescription":["Glastir Monitoring and Evaluation Programme (GMEP)  website ","Website for related survey - Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP) ","Website for related national survey - Countryside Survey"],"supplementalName":["GMEP website","ERAMMP website","Countryside Survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Bird counts from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"This data collection contains model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF).\n\nThe EMEP4UK rv4.36 model is an atmospheric chemistry transport model (ACTM), derived from the EMEP MSC-W model rv4.36 (https://github.com/metno/emep-ctm), which simulates hourly to annual average atmospheric composition and deposition of various pollutants. The 3D meteorology is calculated using the Weather Research and Forecasting Model version 4.2.2 (WRF – https://www.mmm.ucar.edu/models/wrf). The EMEP emission estimates at a resolution of 0.1 degrees x 0.1 degrees provided by the Centre for Emission Inventories and Projections (CEIP, http://www.ceip.at/) are used for the EU and the UK emissions data were derived from reported sectoral totals, spatially distributed at 1 km x 1 km, from the National Atmospheric Emissions Inventory (NAEI).\n\nThe data usually consist of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), SO2, NH3, NOX, and O3. \n\nThe output from the model run for the UK with the latest model version and emission data are available in the following data collection:\nEuropean Monitoring and Evaluation Program Model for the UK (EMEP4UK) atmospheric composition and deposition for UK-SCAPE (2002 - 2021)","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Vieno"],"fullName":["Scheffler, J.","Vieno, M."],"givenName":["J.","M."],"identifier":"7c3135b5-60d8-4ae4-855b-f0235261686c","incomingCitationCount":0,"keyword":["EMEP","European Monitoring and Evaluation Programme","UK-SCAPE","aerosol","ammonia","coarse nitrate particulate","dust","fine nitrate particulate","HNO3","NH3","nitric acid","nitrogen dioxide","NO2","NOx","O3","oxides of nitrogen","ozone","PM10","PM2.5","SO2","sulphate particulate","sulphur dioxide","VOC","volatile organic compounds","dry deposition","wet deposition","vegetation specific deposition","atmospheric chemistry transport model","EMEP4UK"],"keywordsOther":["aerosol","ammonia","coarse nitrate particulate","dust","fine nitrate particulate","HNO3","NH3","nitric acid","nitrogen dioxide","NO2","NOx","O3","oxides of nitrogen","ozone","PM10","PM2.5","SO2","sulphate particulate","sulphur dioxide","VOC","volatile organic compounds","dry deposition","wet deposition","vegetation specific deposition","atmospheric chemistry transport model","EMEP4UK"],"keywordsProject":["EMEP","European Monitoring and Evaluation Programme","UK-SCAPE"],"licence":"Non-Open government licence","metadataDate":"2026-07-25T06:57:29.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3135b5-60d8-4ae4-855b-f0235261686c"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data collection contains model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF).\n\nThe EMEP4UK rv4.36 model is an atmospheric chemistry transport…","state":"published","supplementalName":["EMEP website"],"title":"EMEP4UK modelled atmospheric composition and deposition","version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Taylor","Reader"],"authorFullName":["Taylor, C.","Reader, T."],"authorGivenName":["C.","T."],"authorOrcid":["0000-0003-4299-7104","0000-0001-7586-8814"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Polygon file format (ply)","Object file format (obj)","Material Template Library format (mtl)","jpg"],"description":"This dataset includes 3D colour images from scanned insect (Diptera and Hymenoptera) specimens, as well as some modified intermediate images which combine traits from two different specimens. The intermediate versions are in a format suitable for 3D printing.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Reader"],"fullName":["Taylor, C.","Reader, T."],"funder":["Natural Environment Research Council"],"givenName":["C.","T."],"grant":["NE/S000623/1"],"identifier":"05169766-7355-4c3c-8ade-091db0583f9d","incomingCitationCount":0,"keyword":["United Kingdom","Animal behaviour","Biodiversity","Hymenoptera","Diptera","insect","photogrammetry","3D printing"],"keywordsOther":["Hymenoptera","Diptera","insect","photogrammetry","3D printing"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Animal behaviour","Biodiversity"],"licence":"Open government licence","lineage":"Insect specimens were collected between June 2020 and August 2021 from various locations in England using a hand net. Specimens were euthanized and 3D digital images of the insect specimens were obtained via photogrammetry. A 3D shape file (“mesh”) was built from a set of 36 photographs using the software 3DSOM. This produced the \"raw reconstructions\" which are provided in the form of .obj files with associated .jpg textures.\nUsing the images obtained from photogrammetry as starting points, we constructed digital “transects” of similarity between pairs of real insects through 3D morphological space. We defined axes of phenotypic variation along which the traits of shape, colour, pattern, and size varied smoothly from one image to the other, and generated novel phenotypes by picking either intermediate or extrapolated points along those axes. The resulting 3D meshes are the \"modified intermediate images\" which are provided as .ply files.\n","metadataDate":"2026-07-24T18:54:55.000Z","orcid":["0000-0003-4299-7104","0000-0001-7586-8814"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/05169766-7355-4c3c-8ade-091db0583f9d","10.5285/05169766-7355-4c3c-8ade-091db0583f9d","doi:10.5285/05169766-7355-4c3c-8ade-091db0583f9d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes 3D colour images from scanned insect (Diptera and Hymenoptera) specimens, as well as some modified intermediate images which combine traits from two different specimens. The intermediate versions are in a format suitable for 3D printing.","state":"published","temporalExtentText":"Data collected from 2020 to 2021","title":"Scanned 3D images and 3D printable images based on combinations of features of Diptera and Hymenoptera collected from the UK in 2021-22","topic":["0/Animal behaviour/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Leeson","Deshpande","Levy","Harvey","Jones"],"authorFullName":["Leeson, S.","Deshpande, A.","Levy, P.","Harvey, D.","Jones, M."],"authorGivenName":["Sarah","Ajinkya","Peter","Duncan","Matthew"],"authorOrcid":["0009-0001-3132-3473","0000-0002-2095-1271","0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about meteorological conditions, soil parameters and water table depth at Whim Bog, an ombrotrophic heather-dominated bog near Edinburgh, Scotland. Meteorological measurements were recorded at a height of 2 m above the bog on a meteorological mast which is a part of a peatland nitrogen pollution experiment established in 2002. The measurements are recorded using a wide range of automatic sensors recording continuous meteorological data reported in this dataset at 15-minute intervals. This dataset relates to measurements taken in 2024 and 2025. This dataset provides continuation of meteorological measurements in southern Scotland over the past two decades and can help identify changing climatic trends and anomalies.","documentType":"GEMINI_DOCUMENT","familyName":["Leeson","Deshpande","Levy","Harvey","Jones"],"fullName":["Leeson, S.","Deshpande, A.","Levy, P.","Harvey, D.","Jones, M."],"funder":["Natural Environment Research Council"],"givenName":["Sarah","Ajinkya","Peter","Duncan","Matthew","Ajinkya "],"grant":["NE/Y006208/1"],"identifier":"72693167-6609-4b83-b6c9-928858a5f45a","incomingCitationCount":0,"keyword":["Scotland","National Capability for UK Challenges (NC-UK)","Climate and climate change","peatland","meteorology","peat","soil","climate change","bog","water table"],"keywordsOther":["peatland","meteorology","peat","soil","climate change","bog","water table"],"keywordsPlace":["Scotland"],"keywordsProject":["National Capability for UK Challenges (NC-UK)"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The meteorological data is collected from a 2 m mast on an ombrotrophic bog. A peatland nitrogen pollution experiment was established in 2002 at Whim Bog (55.76566o, -3.27155o, altitude: 316 m) near Edinburgh and meteorological measurements started in 2003. Air temperature, relative humidity, rainfall, leaf wetness, wind speed, wind direction, net radiation, total solar radiation and photosynthetically active radiation (PAR) were measured over the bog. Soil volumetric water content is measured at one depth and temperature were measured at two depths in addition to water table depth. The instruments measure data every 20 seconds and the average is calculated over 15-minute intervals. All data is given in GMT (Greenwich Mean Time) from 1st January 2024 to 31st December 2025.\nThe data has been checked visually and any obvious errors introduced by instrument malfunctioning, datalogger programming issues and power cuts have been removed. Some gaps were also introduced during the time taken to replace faulty sensors. The dataset contains 736,321 measurements of 13 parameters.","locations":["POLYGON((-3.273 55.765, -3.273 55.766, -3.27 55.766, -3.27 55.765, -3.273 55.765))"],"metadataDate":"2026-08-12T14:51:57.000Z","orcid":["0009-0001-3132-3473","0000-0002-2095-1271","0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/72693167-6609-4b83-b6c9-928858a5f45a","10.5285/72693167-6609-4b83-b6c9-928858a5f45a","doi:10.5285/72693167-6609-4b83-b6c9-928858a5f45a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about meteorological conditions, soil parameters and water table depth at Whim Bog, an ombrotrophic heather-dominated bog near Edinburgh, Scotland. Meteorological measurements were recorded at a height of 2 m above the bog on a meteorological…","state":"published","temporalExtentText":"Data collected from 2024 to 2025","title":"Meteorological and soil data from Whim Bog, Scotland, UK, 2024-2025","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings of the 21 target classes, based on the Joint Nature Conservation Committee (JNCC) Broad Habitats and which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland"],"fullName":["Rowland, C."],"givenName":["C."],"identifier":"34e168c2-0666-4481-a338-271d672645eb","incomingCitationCount":0,"keyword":["Great Britain","Land cover","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-08-12T12:01:41.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-25T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/34e168c2-0666-4481-a338-271d672645eb"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings…","state":"published","title":"Land Cover Map 2015 (1km percentage aggregate class, N. Ireland) Web Map Service","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Grant","Pickard","Spears"],"authorFullName":["Grant, A.","Pickard, A.","Spears, B."],"authorGivenName":["A.","B."],"authorOrcid":["0009-0005-7203-3260","0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises water chemistry data for dissolved organic carbon (DOC), total dissolved nitrogen (TdN), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O collected at sites across the UK in 2021 and 2022. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis.\n\nFloating gas collection chambers were deployed for 24 hours at selected sites to characterise diurnal greenhouse gas emissions from various types of inland water bodies and how these are affected by water body type and seasonality.\n\nThese data were generated from the Land Ocean Carbon Transfer (LOCATE) project","documentType":"GEMINI_DOCUMENT","familyName":["Grant","Pickard","Spears"],"fullName":["Grant, A.","Pickard, A.","Spears, B."],"funder":["Natural Environment Research Council"],"givenName":["A.","B."],"identifier":"010fa679-71d8-4b5e-b2fd-2d2ce78d02ef","incomingCitationCount":0,"keyword":["UK","Environmental survey","Climate and climate change","water chemistry","greenhouse gas"],"keywordsOther":["water chemistry","greenhouse gas"],"keywordsPlace":["UK"],"keywordsTheme":["Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"Sampling took place in July, August, and September of 2021. A subselection of sites were re-sampled in February and March of 2022 to ascertain seasonal variability. \n\nSamples were collected using a 60ml syringe and were either dispensed directly unfiltered or, filtered with a cellulose acetate filter into their relevant containers before being returned to the lab and either frozen or refrigerated before analysis.\n\nDissolved greenhouse gas samples were collected using the headspace method. This involves filling a 60ml syringe with 30ml of stream water and 30ml of ambient air and agitating it for one minute until equilibration of gases has occurred. The air sample is then injected into a sealed vial and returned to the lab for analysis.\n\nAll data were generated by the authors. During the generation of water chemistry data, calibration standards of known concentrations were used for quality control of instrument outputs.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:50:55.000Z","orcid":["0009-0005-7203-3260","0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef","10.5285/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef","doi:10.5285/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises water chemistry data for dissolved organic carbon (DOC), total dissolved nitrogen (TdN), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"Water chemistry and greenhouse gas emissions of UK water bodies, 2021-2022, from the LOCATE project","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["University of Newcastle","University of Stirling"],"authorFamilyName":["Pattison","Quilliam","Oliver","Willby"],"authorFullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"authorGivenName":["Z.","R.S.","D.","Nigel J."],"authorOrcid":["0000-0002-5243-0876","0000-0001-7020-4410","0000-0002-6200-562X","0000-0002-1020-0933"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up to 60 points per lake depending on water body size) in sediment and water from each lake.  Faecal indicators were quantified based on standard dilution, membrane filtration and incubation for water, and incubation in bacteria-specific broth, followed by plating and incubation for sediment extracts.  Contextual information about water quality, water bird densities, and land cover in different buffer sizes is also provided for each lake. The data were collected to investigate how connectivity and stressors interact to determine biodiversity and ecosystem function in freshwaters.\n\nThe work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats)\n","documentType":"GEMINI_DOCUMENT","familyName":["Pattison","Quilliam","Oliver","Willby"],"fullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"funder":["Natural Environment Research Council"],"givenName":["Z.","R.S.","D.","Nigel J."],"grant":["NE/N006437/1 "],"identifier":"34df30f2-3163-4c11-8743-3732e49220fb","incomingCitationCount":0,"keyword":["Glasgow","Water quality","microbiology","urban area","faecal indicators","spatial variation","connectivity"],"keywordsOther":["microbiology","urban area","faecal indicators","spatial variation","connectivity"],"keywordsPlace":["Glasgow"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Sub-surface water samples and cores of the upper 5cm of sediment obtained from multiple geolocated points within each of 15 water bodies via boat-based sampling.\n\nFor consistency all sites were sampled 3 hours after sunrise in summer (July) and on ice-free days in winter (Dec/Jan). Sampling intensity was dependent on water body size. Bird distribution and numbers were recorded for an hour from a suitable vantage point at the same time of sampling.\n\nA separate water sample was collected from a mid-point in each site for laboratory analysis of metals, nutrients and other standard determinands (Thermo iCap 6000 Series or Dionex DX-120). Dissolved oxygen, pH, electrical conductivity and temperature were measured in the field using a HACH multiprobe.\n\nStandard water body characteristics (area, elevation, perimeter etc) are sourced from the U.K. Lakes Portal (https://uklakes.ceh.ac.uk/)\n\nWater samples for microbial analysis were stored at 4 C and processed within 6 h of collection. 100ml samples at three dilutions were filtered through 0.45-m membrane filters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA) agar. Plates were incubated at 37 deg C and counted after 24 h. Counts are reported as colony forming unit (CFU) per 100 ml water.\n\nA mixture of sediment (~2.5 g) and 50ml Phosphate buffered saline (PBS) was used to enumerate E. coli in the sediment. All sediment dilutions were made by placing samples in sterile PBS and shaking them. Each dilution was spread using disposable sterile loops onto MLGA agar plates and incubated at 37 deg C for 24 hours before counting colonies. To quantify abundance of Campylobacter, I. Enterococci, E. coli 0157 and E.coli in sediment a single composite 1g subsample was placed into a sterilised glass vial of 100ml LB broth. A 100ug sample of the aliquot of each sample was spread over the surface of agar plates with a disposable sterile loop and incubated following isolation and incubation protocol for each type of bacteria. Colonies were counted, and results are reported as CFU per g oven-dried soil.\n\nData were added to an Excel spreadsheet and exported as a .csv file for deposit into the EIDC.","locations":["POLYGON((-4.603 55.674, -4.603 55.983, -3.834 55.983, -3.834 55.674, -4.603 55.674))"],"metadataDate":"2026-07-24T20:36:00.000Z","orcid":["0000-0002-5243-0876","0000-0001-7020-4410","0000-0002-6200-562X","0000-0002-1020-0933"],"organisation":["University of Newcastle","University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/34df30f2-3163-4c11-8743-3732e49220fb","10.5285/34df30f2-3163-4c11-8743-3732e49220fb","doi:10.5285/34df30f2-3163-4c11-8743-3732e49220fb"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up…","state":"published","supplementalName":["Hydroscape website"],"temporalExtentText":"Data collected from 2016 to 2017","title":"High spatial resolution seasonal distributions of faecally-derived waterborne and sediment bacteria in standing waters, Glasgow, UK, 2016-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Cardiff University","Imperial College London"],"authorFamilyName":["Durance","Feeley","Perkins","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"authorFullName":["Durance, I.","Feeley, H.B.","Perkins, D.M.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"authorGivenName":[" I.","H.B.","D.M.","M.C.","C.","S.J.","G."],"authorOrcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049","0000-0002-8174-302X"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches) and Plynlimon (4 reaches). The experiment consisted of adding deciduous leaves to half of the reaches whilst the other half were maintained as control (no addition). Nylon mesh bags containing deciduous leaves were fixed in both experimental and control reaches to estimate leaf decomposition rates. The macroinvertebrate composition of the nylon mesh bags was surveyed in January 2013 and again in March 2013 in each sampling reach. \n\nThe main goal of this survey was to examine how aquatic biodiversity responds to leaf addition in moorland and conifer forested rivers. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley, Dr Dan Perkins and Marian Pye were in charge of collecting, processing and sorting the invertebrate samples. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme","documentType":"GEMINI_DOCUMENT","familyName":["Durance","Feeley","Perkins","Pye","Gutierrez-Canovas","Ormerod","Woodward"],"fullName":["Durance, I.","Feeley, H.B.","Perkins, D.M.","Pye, M.C.","Gutierrez-Canovas, C.","Ormerod, S.J.","Woodward, G."],"funder":["Natural Environment Research Council"],"givenName":["I."," I.","H.B.","D.M.","M.C.","C.","S.J.","G.","Isabelle"],"grant":["NE/J014818/1"],"identifier":"3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","incomingCitationCount":0,"keyword":["Wales","Plynlimon","Llyn Brianne","aquatic invertebrates","benthic community","land use","acidity","aquatic animal","invertebrate","biological diversity","benthic ecosystem"],"keywordsOther":["aquatic invertebrates","benthic community","land use","acidity","aquatic animal","invertebrate","biological diversity","benthic ecosystem"],"keywordsPlace":["Wales","Plynlimon","Llyn Brianne"],"licence":"Open government licence","lineage":"Each stream was divided into an upstream reference zone and a downstream experimental zone. Deciduous leaves were added directly to the stream and by fixing 'Onion bags' of leaves to the stream bed and bank. \n\nIn early November 2012, 48 replicate litter bags (24 per reference zone and 24 per experimental zone) of two mesh types, fine and coarse filled with air dried deciduous leaves were secured in pairs to randomly distributed metal poles each of the study streams. The mesh bags were then covered with cobbles to facilitate biological colonisation. At the end of the 'before' treatment half the litter bags or 6 fine and 6 coarse mesh litter bags were removed gently from both the reference and experimental study zones within each stream. At the same time 6 new fine mesh and 6 new coarse mesh litter bags were added to each pole to measure the decomposition during the 'after' manipulation period. These bags were left until the end the experimental period. At this point all of the remaining litter bags were removed. \n\nDirectly upon collection, all litter bags were preserved in 70 per cent ethanol on site, within individual clear polystyrene bags, marked with an identifying code and transported back to the laboratory for processing. Once in the laboratory the leaf material from each litter bag was rinsed carefully under tap water under a fine sieve and air dried at room temperature. All macroinvertebrates were separated from the contents of each litter bag, and identified to species. Data was recorded onto an Excel spreadsheet. Data was exported from the Excel spreadsheet to a comma separated value file for ingestion into the Environmental Information Data Centre (EIDC).","locations":["POLYGON((-3.785 52.107, -3.785 52.518, -3.641 52.518, -3.641 52.107, -3.785 52.107))"],"metadataDate":"2026-09-15T08:40:10.000Z","orcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049","0000-0002-8174-302X"],"organisation":["Cardiff University","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d","doi:10.5285/3e6a9ffd-59f2-48ea-840b-1582dc6c1e3d"],"resourceType":"Dataset","ror":["https://ror.org/03kk7td41","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"These data are macroinvertebrate composition and abundance in eight Welsh upland rivers with contrasting land-use, moorland and exotic conifer, in response to riparian deciduous leaf addition. Eight sampling reaches were chosen at two sites, Llyn Brianne (4 reaches)…","state":"published","title":"Macroinvertebrate leaf decomposers in response to organic matter addition to streams in the Welsh uplands (2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists of two bands:  Band 1 - raster representation of the majority (dominant) class per polygon for 21 target habitat classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"47f053a0-e34f-4534-a843-76f0a0998a2f","incomingCitationCount":3,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m raster product is the most detailed of the LCM2015 raster products, both thematically and spatially, and it is derived from the LCM2015 vector product. For LCM2015 per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon.\nThe 25m raster product consists of two bands:\n- Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes\n- Band 2 - mean per polygon probability as reported by the Random Forest classifier\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T21:18:16.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f053a0-e34f-4534-a843-76f0a0998a2f","10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f","doi:10.5285/47f053a0-e34f-4534-a843-76f0a0998a2f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 25m raster version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  This is the most detailed of the LCM2015 raster products both thematically and spatially, and it is used to derive the 1km products. The 25m raster product consists…","state":"published","temporalExtentText":"Data collected from 2014 to 2015","title":"Land Cover Map 2015 (25m raster, N. Ireland)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["James Hutton Institute","2RSPB Centre for Conservation Science","Royal Botanic Garden Edinburgh","Bryophyte Consultant"],"authorFamilyName":["Mitchell","Albon","Bellamy","Ellis","Hodgetts","Johnstone","Stockan","Taylor"],"authorFullName":["Mitchell, R.J.","Albon, S.D.","Bellamy, P.E.","Ellis, C.J.","Hodgetts, N.G.","Johnstone, C.","Stockan, J.A.","Taylor, A.F.S."],"authorGivenName":["R.J.","S.D.","P.E.","C.J.","N.G.","C.","J.A.","A.F.S."],"authorOrcid":["0000-0001-8151-2769","0000-0002-0811-1333","0000-0003-2234-2119","0000-0003-1916-8746","0000-0001-9900-9010","0000-0003-0727-8171"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Scots Pine (Pinus sylvestris) in the UK. Scots pine is the UK’s only native conifer that is used commercially and is the most common tree in the UK’s native Caledonian pine woods.  In total 1589 species are listed in the database. For each species a level of association with Scots pine is provided, ranging from obligate (only found on Scots pine) to cosmopolitan (found on a wide range of other tree species). Data on the ecology of each Scots pine associated species were collated: part of tree used, and use made of tree (feeding, roosting, breeding). Data on use or otherwise of 34 other tree species were also collated for each of the 1589 species.  ","documentType":"GEMINI_DOCUMENT","familyName":["Mitchell","Albon","Bellamy","Ellis","Hodgetts","Johnstone","Stockan","Taylor"],"fullName":["Mitchell, R.J.","Albon, S.D.","Bellamy, P.E.","Ellis, C.J.","Hodgetts, N.G.","Johnstone, C.","Stockan, J.A.","Taylor, A.F.S."],"funder":["Natural Environment Research Council"],"givenName":["R.J.","S.D.","P.E.","C.J.","N.G.","C.","J.A.","A.F.S."],"grant":["NE/X004449/1"],"identifier":"97f8c19b-7451-4809-b011-0f9cf3eb8430","incomingCitationCount":0,"keyword":["UK","Biodiversity"],"keywordsPlace":["UK"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Existing data sources were collated during 2023/24, in order to identify as comprehensively as possible those species that use Scots Pine, Pinus sylvestris (Scots pine-associated species) and the nature of this association in the UK. The data sources included quality controlled databases of records of species, peer reviewed literature, published books and grey literature. A complete list of data sources used is provided together with an assessment of the quality of that data: peer reviewed or quality controlled dataset versus grey literature and whether the data are from the UK or not. Information on the species ecology and their use of 34 other tree species was also collated. The data were collated in a pre-defined standard format to enable consistency across taxa.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:19:53.000Z","orcid":["0000-0001-8151-2769","0000-0002-0811-1333","0000-0003-2234-2119","0000-0003-1916-8746","0000-0001-9900-9010","0000-0003-0727-8171"],"organisation":["James Hutton Institute","2RSPB Centre for Conservation Science","Royal Botanic Garden Edinburgh","Bryophyte Consultant","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/97f8c19b-7451-4809-b011-0f9cf3eb8430","10.5285/97f8c19b-7451-4809-b011-0f9cf3eb8430","doi:10.5285/97f8c19b-7451-4809-b011-0f9cf3eb8430"],"resourceType":"Dataset","rightsHolder":["James Hutton Institute"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This is a database of all known birds, bryophytes, fungi, invertebrates, lichens and mammals that use Scots Pine (Pinus sylvestris) in the UK. Scots pine is the UK’s only native conifer that is used commercially and is the most common tree in the UK’s native Caledonian…","state":"published","title":"Scots pine-associated biodiversity in the UK (Scots pine Ecol)","topic":["0/Biodiversity/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Hayes"],"authorFullName":["Hayes, F."],"authorGivenName":["F."],"authorOrcid":["0000-0002-1037-5725"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","description":"Ground-level concentrations of ozone are high in many crop growing regions of the world and increasing rapidly in developing countries. Ozone reduces productivity of sensitive crops by reducing photosynthesis and causing cell damage within leaves, following uptake through the leaf stomatal pores. Currently, little is known about effects on crops growing in African countries where ozone precursor emissions are rising rapidly. We worked with African scientists to select the most appropriate food crops and cultivars, and exposed them to realistic current and potential future ozone regimes in the climate controlled UK CEH Bangor solardomes to quantify the impacts on plant physiology and the negative effects of ozone on yield.","documentType":"GEMINI_DOCUMENT","familyName":["Hayes"],"fullName":["Hayes, F."],"givenName":["F."],"identifier":"c6cb6bcf-6384-42f4-86b5-52f0ace4a7f3","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T14:02:37.000Z","orcid":["0000-0002-1037-5725"],"organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c6cb6bcf-6384-42f4-86b5-52f0ace4a7f3"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Ground-level concentrations of ozone are high in many crop growing regions of the world and increasing rapidly in developing countries. Ozone reduces productivity of sensitive crops by reducing photosynthesis and causing cell damage within leaves, following uptake through…","state":"published","supplementalName":["SUNRISE website"],"title":"Impacts of ozone on physiology and yield of African crops – Sunrise Work Package 3.2","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dinsmore","Billett","Dyson"],"authorFullName":["Dinsmore, K.J.","Billett, M.F.","Dyson, K.E."],"authorGivenName":["K.J.","M.F.","K.E."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Dataset contains concentrations of particulate and dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Auchencorth Moss is part of the UK Centre for Ecology & Hydrology's UK Carbon Catchment project. \n\nConcentrations have been measured approximately weekly from January 2007 to December 2011 ","documentType":"GEMINI_DOCUMENT","familyName":["Dinsmore","Billett","Dyson"],"fullName":["Dinsmore, K.J.","Billett, M.F.","Dyson, K.E.","Dinsmore, K."],"givenName":["K.J.","M.F.","K.E.","Kerry"],"identifier":"3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","incomingCitationCount":1,"keyword":["Auchencorth Moss","Scotland","Black Burn","Climate and climate change","aquatic","peatland","CEH Carbon Catchments","stream water","methane","peat","carbon dioxide","dissolved inorganic carbon","dissolved organic carbon","particulate organic carbon"],"keywordsOther":["aquatic","peatland","CEH Carbon Catchments","stream water","methane","peat","carbon dioxide","dissolved inorganic carbon","dissolved organic carbon","particulate organic carbon"],"keywordsPlace":["Auchencorth Moss","Scotland","Black Burn"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"Water and headspace (for gas analsyis) samples were collected approximately weekly primarily by Dr Kerry Dinsmore. Analysis was carried out at CEH Edinburgh, again primarily by Dr Kerry Dinsmore. The samples were collected from a single sampling site over the 5 year period. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Dinsmore, K.J.; Billett, M.F.; Dyson, K.E.. 2013 Temperature and precipitation drive temporal variability in aquatic carbon and GHG concentrations and fluxes in a peatland catchment. Global Change Biology. 10.1111/gcb.12209 ","locations":["POLYGON((-3.289 55.777, -3.289 55.808, -3.237 55.808, -3.237 55.777, -3.289 55.777))"],"metadataDate":"2026-09-15T08:42:44.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-12-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","doi:10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Dataset contains concentrations of particulate and dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Auchencorth Moss is part of the UK Centre for Ecology & Hydrology's…","state":"published","temporalExtentText":"Data collected from 2007 to 2011","title":"Five year record of aquatic carbon and greenhouse gas concentrations from Auchencorth Moss","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"c726249f-c2d8-4aeb-9af2-60a40de40be2","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","pH","grassland","soil","salt marsh"],"keywordsOther":["pH","grassland","soil","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Soil pH was measured from within each 1metre (m) x 1m quadrat using a combined pH/electrical conductivity probe. The location of the sample sites was determined by randomly allocated quadrats. Results were recorded onto field sheets. These data were transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:39:26.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c726249f-c2d8-4aeb-9af2-60a40de40be2","10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2","doi:10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil pH on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["The University of Edinburgh","Department of Veterinary Services","University of Zambia","Lancaster University"],"authorFamilyName":["Anderson","Mulenga","Mashili","Simuunza","Machila","Atkinson","Welburn"],"authorFullName":["Anderson, N.E.","Mulenga, G.","Mashili, J.","Simuunza, M.","Machila, N.","Atkinson, P.M.","Welburn, S.C."],"authorGivenName":["N.E.","G.","J.","M.","N.","P.M.","S.C."],"authorOrcid":["0000-0001-7192-7717","0000-0002-3611-5016","0000-0001-6637-2673","0000-0001-6621-7470","0000-0002-1149-6166","0000-0002-5489-6880","0000-0002-9903-7086"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/03gh19d69","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource contains tsetse fly count data recorded during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. Tsetse sampling was conducted along a 60 kilometre transect from the plateau region on the eastern side of the Luangwa Valley to the floor of the valley, near Mfuwe Airport. Tsetse flies were sampled using black screen fly rounds. The first survey was conducted in May and June (cold, dry season) and the second survey in November (hot dry season). The Luangwa Valley in Zambia is an old focus of human sleeping sickness (Trypanosoma brucei rhodesiense) and sporadic outbreaks have occurred in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing the distribution and density of tsetse. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA).","documentType":"GEMINI_DOCUMENT","familyName":["Anderson","Mulenga","Mashili","Simuunza","Machila","Atkinson","Welburn"],"fullName":["Anderson, N.E.","Mulenga, G.","Mashili, J.","Simuunza, M.","Machila, N.","Atkinson, P.M.","Welburn, S.C.","Anderson, N."],"funder":["Natural Environment Research Council"],"givenName":["N.E.","G.","J.","M.","N.","P.M.","S.C.","Neil"],"grant":["NE/J000701/1"],"identifier":"59fc6e1a-e1cb-4bcf-8b49-68211b2a363a","incomingCitationCount":0,"keyword":["Zambia","Luangwa Valley","Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation Programme (ESPA)","Tsetse","Glossina morsitans morsitans","Trypanosoma brucei rhodesiense"],"keywordsOther":["Tsetse","Glossina morsitans morsitans","Trypanosoma brucei rhodesiense"],"keywordsPlace":["Zambia","Luangwa Valley"],"keywordsProject":["Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation Programme (ESPA)"],"licence":"Open government licence","lineage":"Tsetse surveys were conducted in May / June 2013 and November 2013. Tsetse flies were sampled using black screen fly rounds. Data were recorded on standard field sampling forms and then manually transferred to Microsoft Excel. Data were then checked for accuracy and incorrect spatial location coordinates removed. Data were then exported as comma separated files for ingestion into the Environmental Data Information Centre.","locations":["POLYGON((31.826 -13.828, 31.826 -13.248, 32.094 -13.248, 32.094 -13.828, 31.826 -13.828))"],"metadataDate":"2026-09-15T08:38:24.000Z","orcid":["0000-0001-7192-7717","0000-0002-3611-5016","0000-0001-6637-2673","0000-0001-6621-7470","0000-0002-1149-6166","0000-0002-5489-6880","0000-0002-9903-7086"],"organisation":["The University of Edinburgh","Department of Veterinary Services","University of Zambia","Lancaster University","University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59fc6e1a-e1cb-4bcf-8b49-68211b2a363a","10.5285/59fc6e1a-e1cb-4bcf-8b49-68211b2a363a","doi:10.5285/59fc6e1a-e1cb-4bcf-8b49-68211b2a363a"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/03gh19d69","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This resource contains tsetse fly count data recorded during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. Tsetse sampling was conducted along a 60 kilometre transect from the plateau region on the eastern side of the Luangwa Valley to…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Tsetse (Glossina morsitans morsitans) count data from Eastern Province, Zambia, (2013)","version":1.0,"view":["public","danor"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}