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B.A."],"authorGivenName":["G.E.","P.","D.R","F.","B.H.","A.","T.C.","L.J.","C.","T.J.","B.A."],"authorOrcid":["0000-0002-3883-177X","0000-0001-8569-9620","0000-0002-2306-0220","0000-0002-4384-3222","0000-0001-8337-227X","0000-0002-5875-1494","0000-0002-5109-7127","0000-0003-1998-2748","0000-0002-1497-8822","0000-0001-5607-6619"],"authorRor":["https://ror.org/02nkf1q06","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September 2017 and April 2018. For sediments taken at each site, data includes hydrocarbon concentrations (alkanes and Polycyclic Aromatic Hydrocarbons (PAHs)), absolute microbial abundance (by Quantitative Polymerase Chain Reaction (qPCR)) of Bacteria, Archaea, and Fungi, and 16S rRNA amplicon libraries of Bacteria and Archaea. Additionally, nutrient concentrations (ammonia, nitrate, nitrite, silicate, and phosphate) were measured from seawater samples taken at the same sites.\n\nThis study was conducted by the University of Essex, in partnerships with Archipelagos Institute of Marine Conservation and Cranfield University, and funded by the National Environmental Research Council and EnvEast DTP.","documentType":"GEMINI_DOCUMENT","familyName":["Thomas","Campo","Clark","Coulon","Gregson","Miliou","Cameron","Hepburn","Whitby","McGenity","McKew"],"fullName":["Thomas, G.E.","Campo, P.","Clark, D.R.","Coulon, F.","Gregson, B.H.","Miliou, A.","Cameron, T.C.","Hepburn, L.J.","Whitby, C.","McGenity, T.J.","McKew, B.A.","McKew, B."],"funder":["Natural Environment Research Council"],"givenName":["G.E.","P.","D.R","F.","B.H.","A.","T.C.","L.J.","C.","T.J.","B.A.","Boyd"],"grant":["NE/R016569/1"],"identifier":"acf464dc-be75-41b8-9688-f2ba4037ef53","incomingCitationCount":0,"keyword":["Greece","Salamina","Environmental risk","Environmental survey","Hydrology","Pollution","Water quality","oil spill","oil pollution","hydrocarbons","environmental biology","remediation","sediments","16S rRNA","coastal"],"keywordsOther":["oil spill","oil pollution","hydrocarbons","environmental biology","remediation","sediments","16S rRNA","coastal"],"keywordsPlace":["Greece","Salamina"],"keywordsTheme":["Environmental risk","Environmental survey","Hydrology","Pollution","Water quality"],"licence":"Open government licence","lineage":"Samples were collected, in triplicate, in sterile 100 ml containers from the coastal surface (0 - 5 cm) sediments. To attain a comprehensive sample of the oil spill, samples were taken from control (non-oil contaminated) and contaminated (oil contaminated) sites along the Athens Riviera and Salamina Island coast, Greece. Samples were initially collected from the Athens Riviera immediately (September 2017) after the oil spill occurred.\nSubsequently, samples were collected from both Athens and Salamina in the following months, although there are some missing data points. \nThe sampling schedule concluded in April 2018.","locations":["POLYGON((23.298 37.842, 23.298 38.075, 23.774 38.075, 23.774 37.842, 23.298 37.842))"],"metadataDate":"2026-09-15T08:39:53.000Z","orcid":["0000-0002-3883-177X","0000-0001-8569-9620","0000-0002-2306-0220","0000-0002-4384-3222","0000-0001-8337-227X","0000-0002-5875-1494","0000-0002-5109-7127","0000-0003-1998-2748","0000-0002-1497-8822","0000-0001-5607-6619"],"organisation":["University of Essex","Cranfield University","Archipelagos Institute of Marine Conservation","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/acf464dc-be75-41b8-9688-f2ba4037ef53","10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53","doi:10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53"],"resourceType":"Dataset","ror":["https://ror.org/02nkf1q06","https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Hydrocarbon and microbial community data from contaminated beaches in Salamina and the Athens Riviera following the Agia Zoni II Oil Spill (2017-2018)","topic":["0/Environmental risk/","0/Environmental survey/","0/Hydrology/","0/Pollution/","0/Water quality/"],"version":1.0,"view":["public","shar1"]},{"altTitle":["FF-HydMod-PPE"],"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Haxton","Crooks","Jackson","Barkwith","Kelvin","Williamson","Mackay","Wang","Davies","Young","Prudhomme"],"authorFullName":["Haxton, T.","Crooks, S.","Jackson, C.R.","Barkwith, A.K.A.P.","Kelvin, J.","Williamson, J.","Mackay, J.D.","Wang, L.","Davies, H.","Young, A.","Prudhomme, C."],"authorGivenName":["T.","S.","C.R.","A.K.A.P.","J.","J.D.","L.","H.","A.","C."],"authorOrcid":["0000-0003-1722-2497"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled climate projection products based on the SRES A1B emission scenario. River Flows data are at a daily time step: Groundwater Levels data are at a monthly time step. Future Flows Hydrology span from 1951 to 2098. The development of Future Flows Hydrology was made during the partnership project 'Future Flows and Groundwater Levels' funded by the Environment Agency for England and Wales, Defra, UK Water Research Industry, NERC (Centre for Ecology & Hydrology and British Geological Survey) and Wallingford HydroSolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Prudhomme","Haxton","Crooks","Jackson","Barkwith","Kelvin","Williamson","Mackay","Wang","Davies","Young"],"fullName":["Prudhomme, C.","Haxton, T.","Crooks, S.","Jackson, C.R.","Barkwith, A.K.A.P.","Kelvin, J.","Williamson, J.","Mackay, J.D.","Wang, L.","Davies, H.","Young, A."],"givenName":["Christel","T.","S.","C.R.","A.K.A.P.","J.","J.D.","L.","H.","A.","C."],"identifier":"f3723162-4fed-4d9d-92c6-dd17412fa37b","incomingCitationCount":10,"keyword":["United Kingdom","Hydrology","water","river flow","groundwater","aquifer"],"keywordsOther":["water","river flow","groundwater","aquifer"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"An 11-member ensemble of daily river flow and monthly groundwater levels for 283 river catchments and 24 boreholes across Great Britain simulated in March 2012. Future Flows Hydrology time series are generated using conceptual hydrological models driven by Future Flows Climate and span the period 1951-2098. Each ensemble set contains 11 members all equally likely that together accounts for climate variability, climate modelling uncertainty and climate forcing under the SRES A1B emissions scenario. As Future Flows Hydrology datasets are driven by forcing from climate model outputs they do not replicate the historical weather but are possible realisations of river flow and groundwater levels time series. Despite the use of bias-corrected Future Flows Climate as input and local hydrological models Future Flows Hydrology dataset might still contain hydrological and climate modelling errors and cannot be compared directly with gauged values. SC090016/PN5, SC090016/PN6, SC090016/PN7 and SC090016/PN9 project technical notes provide details on the methods used and results.","locations":["POLYGON((-10 50, -10 70, 5 70, 5 50, -10 50))"],"metadataDate":"2026-09-15T08:43:57.000Z","orcid":["0000-0003-1722-2497"],"organisation":["Centre for Ecology & Hydrology","British Geological Survey","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331310020640","CEH:EIDC::1331310020640","https://catalogue.ceh.ac.uk/id/f3723162-4fed-4d9d-92c6-dd17412fa37b","10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b","doi:10.5285/f3723162-4fed-4d9d-92c6-dd17412fa37b"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"Future Flows Hydrology (FF-HydMod-PPE) is an 11-member ensemble projections of river flow and groundwater levels time series for 283 catchments and 24 boreholes in Great Britain. It is derived from Future Flows Climate, an 11-member 1-km bias-corrected and downscaled…","state":"published","temporalExtentText":"Data collected from 1951 to 2098","title":"Future flows hydrology data","topic":["0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["James Hutton Institute","Lancaster University","Swedish University of Agricultural Sciences","Helmholtz Centre for Environmental Research"],"authorFamilyName":["Stutter","Trojahn","Lilly","Baggaley","Davies","Gagkas","Haygarth","Laudon","Musolff","Pihlblad","Watson"],"authorFullName":["Stutter, M.","Trojahn, S.","Lilly, A.","Baggaley, N.J.","Davies, J.","Gagkas, Z.","Haygarth, P.M.","Laudon, H.","Musolff, A.","Pihlblad, J.","Watson, H."],"authorGivenName":["M","S","A","N.J.","J","Z","P.M.","H"],"authorOrcid":["0000-0003-1483-376X","0000-0002-9639-2285","0000-0002-0142-9269","0000-0002-7530-0484","0000-0001-9832-7412","0000-0002-9477-4407","0000-0002-1672-6290","0000-0001-6058-1466","0000-0002-0115-1359","0000-0002-6679-4750"],"authorRor":["https://ror.org/03rzp5127","https://ror.org/04f2nsd36","https://ror.org/02yy8x990","https://ror.org/000h6jb29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises water heights in rivers and adjacent riparian soils for six riparian observatory sites in NE Scotland and NW England. The dataset includes hourly height of soil water table (WT; when depth is below the soil surface), including times of flood inundation (water above the soil surface) and soil water temperature at six positions in each site and the hourly river water stage height. This dataset supports analysis of hillslope to floodplain water table and river flood functions of catchment hydrology and the role of saturation on soil biogeochemistry across climatic and land use gradients. All verified observations are aggregated into a single table (soil_river-_hydrology_uk_riparian_observatories_data.csv), with accompanying metadata (soil_river-_hydrology_uk_riparian_observatories_metadata.csv) describing variable definitions, units, relevant depths of equipment and ground, measurement procedures and context of the soil horizons. \n\nMonitoring was carried out as part of the NERC-funded project \"Accelerating Nutrient Cycles at the Riparian Land : Water Interface\" (NE/V012460/1) investigating riparian zone biogeochemistry across temperate regions. The six riparian observatories of the CARRI project were established to evaluate and extrapolate riparian zone processes controlling C, N and P stocks, mobility and climate change sensitivity.","documentType":"GEMINI_DOCUMENT","familyName":["Stutter","Trojahn","Lilly","Baggaley","Davies","Gagkas","Haygarth","Laudon","Musolff","Pihlblad","Watson"],"fullName":["Stutter, M.","Trojahn, S.","Lilly, A.","Baggaley, N.J.","Davies, J.","Gagkas, Z.","Haygarth, P.M.","Laudon, H.","Musolff, A.","Pihlblad, J.","Watson, H."],"funder":["Natural Environment Research Council"],"givenName":["M","S","A","N.J.","J","Z","P.M.","H"],"grant":["NE/V012460/1"],"identifier":"70109fe8-a415-4aeb-8184-d82f7c334fe2","incomingCitationCount":0,"keyword":["Environmental survey","riparian zone","soil","water table","river","saturation duration","wetting-drying frequency","hydrology","catchment","environmental monitoring","biogeochemistry","temperate region"],"keywordsOther":["riparian zone","soil","water table","river","saturation duration","wetting-drying frequency","hydrology","catchment","environmental monitoring","biogeochemistry","temperate region"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Standardised field sampling protocols were applied at each observatory site, with subsamples taken from representative soil horizons.  \n\nQuality assurance steps included plotting and querying sensor data for erroneous and non-numerical data, screening for outliers, validation against field notes and laboratory records.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:50:46.000Z","orcid":["0000-0003-1483-376X","0000-0002-9639-2285","0000-0002-0142-9269","0000-0002-7530-0484","0000-0001-9832-7412","0000-0002-9477-4407","0000-0002-1672-6290","0000-0001-6058-1466","0000-0002-0115-1359","0000-0002-6679-4750"],"organisation":["James Hutton Institute","Lancaster University","Swedish University of Agricultural Sciences","Helmholtz Centre for Environmental Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70109fe8-a415-4aeb-8184-d82f7c334fe2","10.5285/70109fe8-a415-4aeb-8184-d82f7c334fe2","doi:10.5285/70109fe8-a415-4aeb-8184-d82f7c334fe2"],"resourceType":"Dataset","rightsHolder":["James Hutton Institute"],"ror":["https://ror.org/03rzp5127","https://ror.org/04f2nsd36","https://ror.org/02yy8x990","https://ror.org/000h6jb29","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises water heights in rivers and adjacent riparian soils for six riparian observatory sites in NE Scotland and NW England. The dataset includes hourly height of soil water table (WT; when depth is below the soil surface), including times of flood inundation…","state":"published","temporalExtentText":"Data collected from 2023 to 2025","title":"Soil water table and river hydrology data from six UK riparian observatories, 2023-2025","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh"],"authorFamilyName":["Case","McNamara","Reay","Chaplow","Whitaker"],"authorFullName":["Case, S.D.C.","McNamara, N.P.","Reay, D.S.","Chaplow, J.S.","Whitaker, J."],"authorGivenName":["S.D.C.","N.P.","D.S.","J.S.","J."],"authorOrcid":["0000-0003-3445-3684","0000-0002-5143-5819","0000-0002-8058-8697","0000-0001-8824-471X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from an investigation of the effects of biochar application to soil on greenhouse gas emissions using soil from a bioenergy crop (Miscanthus X. giganteus). Data include physical (bulk density) and chemical analyses of the soil (total carbon (C) and nitrogen (N), extractable ammonium and nitrate), and greenhouse gas (GHG) emissions (carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O)) during incubations. Data were collected during two incubation experiments investigating the effects of temperature, soil moisture and soil aeration on biochar induced suppression of GHG emissions. Biochar is a carbon rich substances which is being advocated as a climate mitigation tool to increase carbon sequestration and reduce nitrous oxide emissions. ","documentType":"GEMINI_DOCUMENT","familyName":["Case","McNamara","Reay","Chaplow","Whitaker"],"fullName":["Case, S.D.C.","McNamara, N.P.","Reay, D.S.","Chaplow, J.S.","Whitaker, J.","McNamara, N."],"givenName":["S.D.C.","N.P.","D.S.","J.S.","J.","Niall"],"identifier":"2757e972-a7fe-494d-92c3-c3205dfdef19","incomingCitationCount":0,"keyword":["Lincolnshire","Soil","biochar","chemistry","N2O","nitrous oxide","atmospheric emission","greenhouse gas","soil","nitrogen oxides"],"keywordsOther":["biochar","chemistry","N2O","nitrous oxide","atmospheric emission","greenhouse gas","soil","nitrogen oxides"],"keywordsPlace":["Lincolnshire"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Twenty soil cores were collected from a field site in Lincolnshire in March 2011, three weeks after planting and Nitrogen fertiliser addition. Soil cores of 150-180 millimetre (mm) depth, containing approximately 1.6 kilogram soil (dry weight) were extracted in Polyvinyl chloride (PVC) pipes (height 215 mm depth 102 mm) and stored at 4 degrees centigrade for 30 days. A four-treatment factorial experiment was designed using soils un-amended or amended with biochar and un-wetted or wetted with deionised water (5 replicates per treatment). Soil in all the cores was mixed to 7 centimetre (cm) depth. To half of the cores, biochar (less than 2 mm) was mixed into the soil at a rate of 3 percent soil dry weight (approximately 22 tons per hectare (t ha-1)). After allowing for any potential Carbon dioxide (CO2) flush from newly-mixed soil to equilibrate for seven days, the cores were placed at 16 degrees centigrade in the dark. Un-wetted soil cores were maintained at 23 percent Gravimetric moisture content (GMC), whilst the GMC of 'wetted' soil cores was increased to 28 percent GMC at the time zero (t0) of four wetting events on day 17, 46, 67 and 116. These water addition rates were based on mean and maximum monthly soil GMC measured in the field between 2009-2010.","locations":["POLYGON((-0.95 52.64, -0.95 53.726, 0.358 53.726, 0.358 52.64, -0.95 52.64))"],"metadataDate":"2026-09-15T08:41:55.000Z","orcid":["0000-0003-3445-3684","0000-0002-5143-5819","0000-0002-8058-8697","0000-0001-8824-471X"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-01-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385546340624","CEH:EIDC::1385546340624","https://catalogue.ceh.ac.uk/id/2757e972-a7fe-494d-92c3-c3205dfdef19","10.5285/2757e972-a7fe-494d-92c3-c3205dfdef19","doi:10.5285/2757e972-a7fe-494d-92c3-c3205dfdef19"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Data from an investigation of the effects of biochar application to soil on greenhouse gas emissions using soil from a bioenergy crop (Miscanthus X. giganteus). Data include physical (bulk density) and chemical analyses of the soil (total carbon (C) and nitrogen (N),…","state":"published","supplementalDescription":["Case, Sean D.C.; McNamara, Niall P.; Reay, David S.; Whitaker, Jeanette. 2012 The effect of biochar addition on N2O and CO2 emissions from a sandy loam soil: the role of soil aeration. Soil Biology and Biochemistry, 51. 125-134."],"temporalExtentText":"Data collected from 2011 to 2012","title":"Soil properties and soil greenhouse gas emissions in biochar-amended bioenergy soils incubated under controlled laboratory conditions","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research"],"authorFamilyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"authorFullName":["Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"authorGivenName":["C.L.","C.","M. ","N.A.","L.A."],"authorOrcid":["0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants and shrubs), fungi, earthworms, bees, wood mice, bank voles, common frogs, frogspawn and European toads were collected between March 2015 and October 2016 from two forests in north-east England. The study was conducted to target representative terrestrial species of the ICRPs Reference Animals and Plants.\n\nFunding for this work was via the TREE project funded by NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"fullName":["Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A.","Barnett, C."],"funder":["Natural Environment Research Council","Environment Agency","Radioactive Waste Management Ltd"],"givenName":["C.L.","C.","M. ","N.A.","L.A.","Cath"],"grant":["NE/L000318/1"],"identifier":"8f85c188-a915-46ac-966a-95fcb1491be6","incomingCitationCount":1,"keyword":["TREE","Radioecology","Environmental risk","Environmental survey","radionuclide","caesium"],"keywordsOther":["radionuclide","caesium"],"keywordsProject":["TREE"],"keywordsTheme":["Radioecology","Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"Data consist of stable element and radionuclide concentrations, and estimated concentration ratios for biota, soil and water collected from two forests in north-east England (March 2015 to October 2016). Samples were analysed by ICP-MS and, where sample size was sufficient, gamma analysis.\n\nSoil: pH and loss on ignition were determined.\n\nWater: Samples were filtered through Whatman 541 filter paper. \n\nWood mice: Trapping was conducted using \"Longworth\" traps. Randomly selected individuals were dissected and a beetle (Dermestes maculatus) colony was used to clean the bones of soft tissue. \n\nBank voles: Trapping was conducted as for Wood mice. Vole samples were ashed. \n\nBee species: Pan traps were placed on the ground. Bees collected were bulked by species and homogenised in an agate mortar. \n\nEarthworms: Worms were collected by digging to circa 30 cm, they were rinsed in de-ionised water and placed on damp tissue paper to allow gut evacuation. Samples were bulked by species and homogenised by agate mortar. \n\nCommon frogs and spawn: Frogs were collected by hand during darkness. Randomly selected individuals were dissected and a beetle colony used to clean bones. Spawn samples were washed in de-ionised water and freeze-dried prior to homogenisation in an agate mortar. \n\nEuropean toads: Toads were collected as for frogs. Randomly selected individuals had their gastrointestinal tract removed, the remaining carcass was washed in de-ionised water and then ashed. \n\nRoe deer: Deer were obtained via the Forestry Commission. Animals were dissected and all bone/carcass samples were cleaned by placing in a beetle colony. Tissue samples were freeze dried and homogenised using an agate mill or mortar. \n\nPine Trees: Samples were collected of small branches, needles and heartwood core (sampled using an increment borer). Samples were air dried (~20oC) and the needles and branches subsequently finely ground using an agate mill or mortar (dependent upon size); the core samples were reduced manually to ~5mm in diameter. \n\nWild grasses: Samples of both leaf and flowering stems were collected. They were air dried and finely ground (using an agate mill or mortar dependent upon sample size). \nHerbaceous plants and shrubs: Opportunistic samples were collected from a variety of species abundant at the main sampling sites and from areas where the roe deer were obtained.  Samples were air dried and finely ground (using an agate mill or mortar). \n\nFungi: Opportunistic samples of fungal fruiting bodies were collected mainly from areas where the roe deer were obtained. Samples were identified by species, oven dried (~60oC) and subsequently finely ground (~2mm) using either an agate mortar or \"coffee\" grinder depending upon sample size. Species were bulked by sampling location and, were possible, by feeding strategy. \n\nICP-MS analysis was conducted using a Thermo-Fisher Scientific iCAP-Q. Samples subjected to ashing pre-treatment had undissolved black particles in the solutions which suggests digestion was incomplete. Similarly, TMAH digestion is not able to fully digest plant material therefore variable degrees of dissolution were observed; pine tree core samples showed poor dissolution rates and therefore the iodine concentrations reported may be underestimated. Digestion of replicates, reference materials and blanks were undertaken to check accuracy and precision. Detection limits were calculated as three times the standard deviation of the reagent blanks. \n\nGamma analysis was conducted using hyper-pure germanium detectors calibrated for efficiency using a certified reference solution (National Physics Laboratory R08-04). Spectra were analysed using Canberra Apex software and activity concentrations decay corrected to the day of sampling. Replicate analyses were conducted on random samples and process blanks for quality assurance purposes. ","locations":["POLYGON((-2.892 53.197, -2.892 55.44, 1.197 55.44, 1.197 53.197, -2.892 53.197))"],"metadataDate":"2026-07-25T08:43:36.000Z","orcid":["0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8f85c188-a915-46ac-966a-95fcb1491be6","10.5285/8f85c188-a915-46ac-966a-95fcb1491be6","doi:10.5285/8f85c188-a915-46ac-966a-95fcb1491be6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants…","state":"published","supplementalDescription":["Transfer parameters for ICRP reference animals and plants collected from a forest ecosystem. Barnett, C.L.; Beresford, N.A.; Walker, L.A.; Baxter, M.; Wells, C.; Copplestone, D. (2014). Radiation and Environment Biophysics, 53, 125-149. "],"temporalExtentText":"Data collected from 2015 to 2016","title":"Element and radionuclide concentrations in wildlife (including representative species of the ICRP's Reference Animals and Plants) and associated soils from forests in north-east England, 2015-2016","topic":["0/Radioecology/","0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.S.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Site indices, as a relative measure of the actual population size, for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the actual population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which accurate indices of abundance cannot currently be calculated. For transect sites a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices are calculated for almost 1,500 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level in England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\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.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"givenName":["M.S.","T.","S.","C.","I.","Z.","D.B."],"identifier":"5c9c946d-34f8-4afb-83e3-f0cbc7123fec","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","Biodiversity"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","locations":["POLYGON((-8.648 48.776, -8.648 60.861, 1.768 60.861, 1.768 48.776, -8.648 48.776))"],"metadataDate":"2026-09-15T08:42:02.000Z","orcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5c9c946d-34f8-4afb-83e3-f0cbc7123fec","10.5285/5c9c946d-34f8-4afb-83e3-f0cbc7123fec","doi:10.5285/5c9c946d-34f8-4afb-83e3-f0cbc7123fec"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"Site indices, as a relative measure of the actual population size, for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown…","state":"published","supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1973 to 2017","title":"United Kingdom Butterfly Monitoring Scheme: site indices data 2017","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["The James Hutton Institute","The University of Manchester","Swedish University of Agricultural Sciences","University of Exeter","University of Edinburgh","University of Stirling"],"authorFamilyName":["Parker","Chomel","Clemmensen","Friggens","Hartley","Johnson","Krab","Lindahl","Street","Subke","Wookey"],"authorFullName":["Parker, T.C.","Chomel, M.","Clemmensen, K.E.","Friggens, N.L.","Hartley, I.P.","Johnson, D.","Krab, E.J.","Lindahl, B.D.","Street, L.E.","Subke, J.A.","Wookey, P.A."],"authorGivenName":["T.C.","M.","K.E.","N.L.","I.P.","D.","E.J.","B.D.","L.E.","J.A.","P.A."],"authorOrcid":["0000-0002-3648-5316","0000-0001-5110-2355","0000-0002-9627-6428","0000-0002-5536-6312","0000-0002-9183-6617","0000-0003-2299-2525","0000-0001-8262-0198","0000-0002-3384-4547","0000-0001-9570-7479","0000-0001-9244-639X","0000-0001-5957-6424"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise numbers of soil microarthorpods (mesofauna) extracted over 10 days from soils in northern, subarctic Sweden sampled on 29th July 2019. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither 'girdled' (connection between leaves and roots cut by disrupting the phloem transport) or ‘control’ (no treatment), two years prior. ","documentType":"GEMINI_DOCUMENT","familyName":["Parker","Chomel","Clemmensen","Friggens","Hartley","Johnson","Krab","Lindahl","Street","Subke","Wookey"],"fullName":["Parker, T.C.","Chomel, M.","Clemmensen, K.E.","Friggens, N.L.","Hartley, I.P.","Johnson, D.","Krab, E.J.","Lindahl, B.D.","Street, L.E.","Subke, J.A.","Wookey, P.A.","Parker, T."],"funder":["Natural Environment Research Council"],"givenName":["T.C.","M.","K.E.","N.L.","I.P.","D.","E.J.","B.D.","L.E.","J.A.","P.A.","Thomas"],"grant":["NE/P002722/2"],"identifier":"d3c98f24-7a4d-40b8-989a-6cc340e91cac","incomingCitationCount":0,"keyword":["Soil","Subarctic","Collembola","Girdling","Foodwebs","mite","tundra","soil biology"],"keywordsOther":["Subarctic","Collembola","Girdling","Foodwebs","mite","tundra","soil biology"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soils were sampled across all plots for microarthropods (Collembola and mites) on July 29th 2019. Within each plot, three 4.5 cm diameter soil cores were taken to the depth of the soil horizon (until rock or last clasts) within the central 3 x 3 m area of the birch plots, and across the willow plots. The mineral horizon of each soil core was removed and discarded, while the litter horizon was retained and pooled separately for each plot. Cores were inserted into tight fitting plastic rings to maintain soil structure for optimal extraction efficiency. The soil and litter samples were extracted for soil fauna using a Tullgren Funnel fauna extractor. 22 pooled soil and 22 pooled litter samples were placed at random under individual heat lamps (in order to avoid spatial biases in extraction efficiency) and left for 10 days to extract fauna into ethanol. At the end of the extraction the soil and litter samples were oven dried for 24 hours at 70 °C and weighed to determine soil dry weights. The fauna samples were preserved in 70 % ethanol prior to identification and quantification. Extracted fauna were counted and identified under a dissecting microscope to species level for Collembola using the key of Hopkin (2007) and to order level for Acari (Oribatid, Mesostigmatid, Prostigmatid). Other invertebrates were separated at higher taxonomic levels (e.g. Diptera, Coleoptera, Araneae etc.).","locations":["POLYGON((8.789 54.162, 8.789 69.9, 24.961 69.9, 24.961 54.162, 8.789 54.162))"],"metadataDate":"2026-07-25T14:18:59.000Z","orcid":["0000-0002-3648-5316","0000-0001-5110-2355","0000-0002-9627-6428","0000-0002-5536-6312","0000-0002-9183-6617","0000-0003-2299-2525","0000-0001-8262-0198","0000-0002-3384-4547","0000-0001-9570-7479","0000-0001-9244-639X","0000-0001-5957-6424"],"organisation":["The James Hutton Institute","The University of Manchester","Swedish University of Agricultural Sciences","University of Exeter","University of Edinburgh","University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d3c98f24-7a4d-40b8-989a-6cc340e91cac","10.5285/d3c98f24-7a4d-40b8-989a-6cc340e91cac","doi:10.5285/d3c98f24-7a4d-40b8-989a-6cc340e91cac"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/04xw4m193","https://ror.org/03rzp5127"],"shortenedDescription":"Data comprise numbers of soil microarthorpods (mesofauna) extracted over 10 days from soils in northern, subarctic Sweden sampled on 29th July 2019. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither 'girdled' (connection…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Soil fauna abundance under birch and willow vegetation in girdled and non-girdled plots, subarctic Sweden, 2019","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"authorFullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"authorGivenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Geography Markup Language (gml)","Shapefile"],"description":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Dataset consists of vector version, with polygons as classified (Northern Ireland only).","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"identifier":"fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","incomingCitationCount":0,"keyword":["Northern Ireland","LCM2007","Land cover"],"keywordsOther":["LCM2007","Land cover"],"keywordsPlace":["Northern Ireland"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-09-15T08:38:43.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","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":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300189425068","CEH:EIDC::1300189425068","https://catalogue.ceh.ac.uk/id/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","doi:10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from…","state":"published","temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (vector, N. Ireland)","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Baker","Harper","Williamson","Challenor"],"authorFullName":["Baker, E.","Harper, A.","Williamson, D.","Challenor, P."],"authorGivenName":["E.","A.","D.","P."],"authorOrcid":["0000-0003-0945-4749","0000-0001-7294-6039","0000-0001-8917-3300","0000-0001-8661-2718"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data is an ensemble of  Joint UK Land Environment Simulator (JULES) simulations, ran for a select set of 1kmx1km grid cells in Great Britain, each with a different set of parameter values, from 2001 to 2010.\n\nThe data includes simulated Gross Primary Productivity (GPP) for 5 different plant functional types on an 8-day average. (Broadleaf trees, Needleleaf trees, C3 grasses, Shrubs, and Cropland) as well as the weighted combined sum.\n\nThese simulations were obtained to facilitate statistical emulation, which is why a wide range of grid cells and parameter values were used (both also provided in the data set).\n\nThe work was funded by the Natural Environment Research Council through research grant NE/T004177/1 JULES EMulator of ecosystem services (JEM)","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Harper","Williamson","Challenor"],"fullName":["Baker, E.","Harper, A.","Williamson, D.","Challenor, P."],"funder":["Natural Environment Research Council"],"givenName":["E.","A.","D.","P."],"grant":["NE/T004177/1"],"identifier":"789bea37-0450-4822-9857-3dc848feb937","incomingCitationCount":1,"keyword":["JULES (the Joint UK Land Environment Simulator)","Modelling","Ecosystem services","Gross Primary Productivity","GPP","JULES","land use change","land use"],"keywordsOther":["Gross Primary Productivity","GPP","JULES","land use change","land use"],"keywordsProject":["JULES (the Joint UK Land Environment Simulator)"],"keywordsTheme":["Modelling","Ecosystem services"],"licence":"Open government licence","lineage":"Data was simulated on Jasmin, the UK's data analysis facility for environmental science, processed into 8-day averages, and combined with the adjusted input parameters and grid cell locations. It was then deposited into the EIDC as comma seperated files.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:54:43.000Z","orcid":["0000-0003-0945-4749","0000-0001-7294-6039","0000-0001-8917-3300","0000-0001-8661-2718"],"organisation":["University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/789bea37-0450-4822-9857-3dc848feb937","10.5285/789bea37-0450-4822-9857-3dc848feb937","doi:10.5285/789bea37-0450-4822-9857-3dc848feb937"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This data is an ensemble of  Joint UK Land Environment Simulator (JULES) simulations, ran for a select set of 1kmx1km grid cells in Great Britain, each with a different set of parameter values, from 2001 to 2010.\n\nThe data includes simulated Gross Primary Productivity…","state":"published","supplementalName":["JULES  Joint UK Land Environment Simulator"],"temporalExtentText":"Data collected from 2001 to 2010","title":"Gross Primary Productivity simulations of Great Britain for emulation, 2001-2010 from JULES land surface model","topic":["0/Modelling/","0/Ecosystem services/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Rankin","McShane","Le Quesne"],"authorFullName":["Feuchtmayr, H.","Rankin, G.","McShane, G.","Le Quesne, K."],"authorGivenName":["H.","G.","K."],"authorOrcid":["0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature was measured every five minutes and an hourly average was calculated. Air temperature was measured by a weather station within the mesocosm compound. The experiment aimed to investigate different N:P nutrient ratios and water temperature was measured as this is an important factor needed to understand the results. ","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Rankin","McShane","Le Quesne"],"fullName":["Feuchtmayr, H.","Rankin, G.","McShane, G.","Le Quesne, K."],"funder":["European Commission, Directorate-General for Research & Innovation","Natural Environment Research Council"],"givenName":["H.","G.","K."],"grant":["871081 ","NE/X00497X/1"],"identifier":"406aee8f-3b85-4be6-ae7d-c92c8168a06f","incomingCitationCount":0,"keyword":["AQUACOSM-plus","Environmental survey","freshwater","mesocosm experiment","water temperature","air temperature"],"keywordsOther":["freshwater","mesocosm experiment","water temperature","air temperature"],"keywordsProject":["AQUACOSM-plus"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The water for the 16 mesocosms was collected from Windermere on 29th and 30th March 2023 and nutrients were added to some of the mesocosms throughout the experiment. Water temperature was measured every 5 minutes by platinum resistance thermometers (PRT) shaded by a plastic cover, sited around mid-depth, radially offset by 30 cm from the mesocosms’ side wall and logged by a Campbell Scientific Data Logger. The hourly average presented here is calculated from 5-minutely data over the following hour, e.g., the value for 1 p.m. is the average of the data between 1 and 1:55 p.m. All data are given in GMT (Greenwich Mean Time) and dates from 21st April to 7th November 2023. \n\nWhenever the difference between the hourly averaged two water temperature sensor data was less than 0.2 °C, the average between both temperatures was calculated. If the difference was larger than 0.2 °C, data were checked against the overall average of the temperature sensors recorded by each data logger. Whenever the difference was larger than 0.2 °C, one of the two temperature sensors had drifted either higher than the average or below the average temperature. In those cases, this sensor was ignored and only data from one temperature sensor was used during those occasions (see table in the supporting documentation).\n\nAir temperature was measured at a weather station within the mesocosm compound (Vaisala weather transmitter WXT520) at around 2.7m height.\n","locations":["POLYGON((-2.776 54.013, -2.776 54.015, -2.774 54.015, -2.774 54.013, -2.776 54.013))"],"metadataDate":"2026-07-24T21:14:18.000Z","orcid":["0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/406aee8f-3b85-4be6-ae7d-c92c8168a06f","10.5285/406aee8f-3b85-4be6-ae7d-c92c8168a06f","doi:10.5285/406aee8f-3b85-4be6-ae7d-c92c8168a06f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains hourly water temperature data and hourly air temperature data of an experimental mesocosm facility from 21st April to 7th November 2023. The sixteen mesocosms (1 m deep, 2 m diameter) were filled with water from Windermere. The water temperature…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Hourly water temperature of 16 experimental mesocosms and hourly air temperature from April to November 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Griffin","Cole","Xia"],"authorFullName":["Griffin, A.","Cole, S.","Xia, X."],"authorGivenName":["A.","S.","Xilin"],"authorOrcid":["0000-0001-8645-4561","0000-0003-4294-8687","0000-0002-5784-9211"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","NetCDF"],"description":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly from the CPM outputs, and a further 36000 (1000 events per ensemble member per time period) generated using an Empirical Beta Copula approach. This was generated for three periods: December 1980 to November 2000, December 2020 to November 2040 and December 2060-November 2080, to examine changes in widespread rainfall events over time due to climate change.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Cole","Xia"],"fullName":["Griffin, A.","Cole, S.","Xia, X.","Adam Griffin"],"funder":["Science and Technology Facilities Council"],"givenName":["A.","S.","Xilin"],"grant":["ST/Y004000/1"],"identifier":"0d786a81-3c33-464e-a8fc-5fea233223bd","incomingCitationCount":0,"keyword":["Climate and climate change","Hydrology","Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsOther":["Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsTheme":["Climate and climate change","Hydrology"],"licence":"Open government licence","lineage":"Source data downloaded from Met Office HadUK repository.\nWidespread events extracted from CPM data using Python.\nSummaries calculated which also highlighted any errors in the process (QA)\nEmpirical Copula events simulated using CPM events in Python\nSummaries calculated for EC events highlighting any errors in the process (QA)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:01:36.000Z","orcid":["0000-0001-8645-4561","0000-0003-4294-8687","0000-0002-5784-9211"],"organisation":["UK Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d786a81-3c33-464e-a8fc-5fea233223bd","10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd","doi:10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly…","state":"published","temporalExtentText":"Data collected from 1980 to 2000; Data collected from 2020 to 2040; Data collected from 2060 to 2080","title":"UK Climate Projections 2018 (UKCP18) Convection-Permitting Model (CPM) and Empirical Copula modelled widespread rainfall events for 1980-2000, 2020-2040 and 2060-2080","topic":["0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Vieno","Beck"],"authorFullName":["Sharps, K.","Vieno, M.","Beck, R."],"authorGivenName":["K.","M.","R."],"authorOrcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for the period spanning mid-April to mid-July, for the UK and the USA, for 2018.  \n","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Vieno","Beck"],"fullName":["Sharps, K.","Vieno, M.","Beck, R."],"funder":["Natural Environment Research Council","Global Environment Facility (GEF)","United Nations Environment Programme (UNEP)"],"givenName":["K.","M.","R."],"grant":["NE/R016429/1"],"identifier":"4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","incomingCitationCount":0,"keyword":["Surface ozone","EMEP model","ozone","grassland","air pollution"],"keywordsOther":["Surface ozone","EMEP model","ozone","grassland","air pollution"],"licence":"Open government licence","lineage":"The surface ozone data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.\nOutput data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.\n","locations":["POLYGON((-174.375 23.241, -174.375 71.301, 1.768 71.301, 1.768 23.241, -174.375 23.241))"],"metadataDate":"2026-07-24T21:19:52.000Z","orcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","doi:10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"authorFullName":["Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"authorGivenName":["R.D.","C.","L.","G.","R.","I."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of the 1km raster, percentage Aggregate Class. Northern Ireland only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["R.D.","C.","L.","G.","R.","I."],"identifier":"1e7d5e08-9e24-471b-ae37-49b477f695e3","incomingCitationCount":0,"keyword":["Northern Ireland","CEH Biodiversity Programme","CEH Project NEC03259","LCM2007","Land cover"],"keywordsPlace":["Northern Ireland"],"keywordsProject":["CEH Biodiversity Programme","CEH Project NEC03259","LCM2007"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-07-24T19:19:00.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300193660704","CEH:EIDC::1300193660704","https://catalogue.ceh.ac.uk/id/1e7d5e08-9e24-471b-ae37-49b477f695e3","10.5285/1e7d5e08-9e24-471b-ae37-49b477f695e3","doi:10.5285/1e7d5e08-9e24-471b-ae37-49b477f695e3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007…","state":"published","temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (1km raster, percentage aggregate class, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Queen Mary University of London","Loughborough University"],"authorFamilyName":["Murphy","Layer-Dobra","Mathers","Jones","Wood"],"authorFullName":["Murphy, J.F.","Layer-Dobra, K.","Mathers, K.","Jones, J.I.","Wood, P.J."],"authorGivenName":["J.F.","K.","J.I.","P.J."],"authorOrcid":["0000-0003-2102-7686","0000-0003-3741-1439","0000-0002-7238-2509","0000-0003-4629-3163"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The 3Rs experimental study investigated how trajectories of recovery following a prolonged drought were affected by the prior sediment composition and fine sediment loading.  On each of six sampling occasions between December 2022 and March 2023 (Days 1, 8, 13, 29, 57 & 113 following resumption of flow), in each of 12 replicate experimental channels, we collected data on the macroinvertebrate communities on the stream bed surface (benthos), 10cm below the surface of stream bed (hyperheos), and potential colonists dispersing into each of the channels from upstream (drift) and from the aerial insect community (malaise traps).  On each occasion we also measured discharge in each of 12 experimental channels as well as the quantity of fine sediment entrained within the stream bed (hyporheic fines).\n\nThe dataset being deposited contains the following elements:\n•\tAbundance records for discrete taxa found in samples of the:\no\tDry bed sediment - 2.5 kg of bed sediment removed and examined for any macroinvertebrates still persisting in the drying stream bed.\no\tRe-wetted bed sediment – 2.5 kg of bed sediment removed and retained to identify invertebrates that emerge from the sediments on each sampling day (related article for experimental rehydration of dewatered sediments method description).\no\tBenthos - Surber sample (330 µm mesh size) of 0.0225m2 area for 30 seconds.  A Surber taken from upstream, middle and downstream thirds of the channel length on each occasion.\no\tHyperheos - 500ml of water extracted using 60ml syringe from standpipes set 10cm below stream bed surface.  A sample taken from upstream, middle and downstream thirds of the channel length on each occasion.\no\tDrift - Nets (330 µm mesh size) deployed for 24hrs at upstream end of each channel.  \no\tAerial communities – Malaise traps deployed bankside for 5 days.\n•\tStream discharge (m3s-1)– stream velocity measured with Valeport 801 Electromagnetic Flowmeter.\n•\tMass of hyporheic fine sediment (gl-1) – dry mass of fine sediment extracted with the 500ml hyporheic sample.\nThe work was supported by the Natural Environment Research Council (NE/X016706/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Murphy","Layer-Dobra","Mathers","Jones","Wood"],"fullName":["Murphy, J.F.","Layer-Dobra, K.","Mathers, K.","Jones, J.I.","Wood, P.J."],"funder":["Natural Environment Research Council"],"givenName":["J.F.","K.","J.I.","P.J."],"grant":["NE/X016706/1"],"identifier":"0ffd647a-f5fc-457d-8ede-2cd5bf40f32b","incomingCitationCount":0,"keyword":["Biodiversity","Freshwater macroinvertebrate","drought","recovery","resilience","resistance","hyporheic","discharge","sediment"],"keywordsOther":["Freshwater macroinvertebrate","drought","recovery","resilience","resistance","hyporheic","discharge","sediment"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"All macroinvertebrates were identified and counted by experienced freshwater taxonomists in The Queen Mary University of London River Communities Group.  Hyporheic fine sediments were oven-dried at 60°C for 48 hours before being weighed on a Sartorius balance (to 0.001 g precision).","locations":["POLYGON((-2.187 50.679, -2.187 50.681, -2.184 50.681, -2.184 50.679, -2.187 50.679))"],"metadataDate":"2026-07-24T19:04:06.000Z","orcid":["0000-0003-2102-7686","0000-0003-3741-1439","0000-0002-7238-2509","0000-0003-4629-3163"],"organisation":["Queen Mary University of London","Loughborough University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ffd647a-f5fc-457d-8ede-2cd5bf40f32b","10.5285/0ffd647a-f5fc-457d-8ede-2cd5bf40f32b","doi:10.5285/0ffd647a-f5fc-457d-8ede-2cd5bf40f32b"],"resourceType":"Dataset","rightsHolder":["Queen Mary University of London"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The 3Rs experimental study investigated how trajectories of recovery following a prolonged drought were affected by the prior sediment composition and fine sediment loading.  On each of six sampling occasions between December 2022 and March 2023 (Days 1, 8, 13, 29,…","state":"published","supplementalName":["The response of perennial and temporary headwater stream invertebrate communities to hydrological extremes"],"temporalExtentText":"Data collected from 2022 to 2023","title":"Freshwater macroinvertebrate community data, stream discharge, and hyporheic fine sediment mass in experimental channels recovering over a four-month period from a prior drought in 2022","topic":["0/Biodiversity/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Rothamsted Research North Wyke"],"authorFamilyName":["Hodgson"],"authorFullName":["Hodgson, C.J."],"authorGivenName":["C.J."],"authorOrcid":["0000-0003-4067-3210"],"authorRor":["https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of the abundance of antibiotic resistant genes (ARG) in fresh cattle faeces from faecal samples taken from a cohort of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke in Devon. Faecal samples were collected in November 2016. The cohort of 30 cattle were selected from 90 animals, ten from each of the three farmlets. Samples were collected from cattle as they entered housing for the winter, i.e. at weaning.","documentType":"GEMINI_DOCUMENT","familyName":["Hodgson"],"fullName":["Hodgson, C.J.","Hodgson, C."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","Chris"],"grant":["NE/N019792/1"],"identifier":"efcef5e3-09f2-4a23-ad19-53295a3171ce","incomingCitationCount":0,"keyword":["Antibiotic resistant gene abundance ","North Wyke Farm Platform"],"keywordsOther":["North Wyke Farm Platform"],"keywordsTheme":["Antibiotic resistant gene abundance "],"licence":"Open government licence","lineage":"Faecal samples were taken by members of staff from Rothamsted Research North Wyke. In the laboratory faecal samples were pooled, such that for each farmlet (10 cattle) there were 3 samples, (3, 3, 4 cattle). This resulted in 9 faecal samples from which DNA was extracted using a commercially available extraction kit (MO BIO PowerSoil® DNA Isolation kit (catalogue No. 12888-100). The following adaption to the Power Soil protocol; at sample preparation samples were heated to 65 °C for 10 minutes prior to vortex. DNA was sequenced by the sequencing unit at the University of Exeter. The resulting metagenomic data was analysed at the Environmental Biotechnology Laboratory at the University of Hong Kong.\n\nThe establishment licence under which the experiment was conducted was XA11784A2 and the project licence was P592D2677.\n\nData was collected for the NERC funded “Does the potential for AMR selection differ between common UK cattle grazing systems?” NE/N019792/1.","locations":["POLYGON((-3.93 50.74, -3.93 50.77, -3.88 50.77, -3.88 50.74, -3.93 50.74))"],"metadataDate":"2026-07-25T14:54:37.000Z","orcid":["0000-0003-4067-3210"],"organisation":["Rothamsted Research North Wyke","NERC Environmental Information Data Centre","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/efcef5e3-09f2-4a23-ad19-53295a3171ce","10.5285/efcef5e3-09f2-4a23-ad19-53295a3171ce","doi:10.5285/efcef5e3-09f2-4a23-ad19-53295a3171ce"],"resourceType":"Dataset","rightsHolder":["Rothamsted Research"],"ror":["https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of the abundance of antibiotic resistant genes (ARG) in fresh cattle faeces from faecal samples taken from a cohort of 30 cattle. The cattle were from the North Wyke Farm Platform, a UK national capability, located at Rothamsted Research, North Wyke…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Antibiotic resistant gene abundance in fresh cattle faeces from the North Wyke Farm Platform","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of St Andrews","Swansea University"],"authorFamilyName":["Kovalski","Smeaton","Rae","Ladd","Austin"],"authorFullName":["Kovalski, A.","Smeaton, C.","Rae, J.","Ladd, C.","Austin, W."],"authorGivenName":["Alyssa","Craig","James","Cai","William"],"authorOrcid":["0009-0008-9568-2636","0000-0003-4535-2555","0000-0003-3904-2526","0000-0001-5437-6474","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises inorganic carbon measurements from saltmarsh soils collected across 69 salt marshes in Great Britain during 2019. The sites were selected to represent a range of contrasting habitats, particularly with respect to sediment type, vegetation communities, and sea-level history. The dataset provides quantitative measurements of inorganic carbon concentrations within surface soils to a depth of 10 cm.\n\nA total of 310 soil samples were collected using modified syringe samplers as part of the CarbonQuest citizen science programme. Inorganic carbon content was quantified through elemental analysis. These data were collected to support the development of a detailed understanding of saltmarsh carbon storage across Great Britain and to improve estimates of the contribution of saltmarsh ecosystems to national blue carbon stocks.","documentType":"GEMINI_DOCUMENT","familyName":["Kovalski","Smeaton","Rae","Ladd","Austin"],"fullName":["Kovalski, A.","Smeaton, C.","Rae, J.","Ladd, C.","Austin, W.","Craig Smeaton"],"funder":["Natural Environment Research Council","University of St Andrews"],"givenName":["Alyssa","Craig","James","Cai","William"],"grant":["NE/R010846/1"],"identifier":"d137c080-e458-4427-8317-c62f24aa9433","incomingCitationCount":0,"keyword":["Climate and climate change","Ecosystem services","total inorganic carbon","salt marsh","carbon","soil inorganic carbon content","soil","Scotland","England","Wales","Great Britian","wetland","Coastal","intertidal zone","blue carbon","carbonate","soil carbon"],"keywordsOther":["total inorganic carbon","salt marsh","carbon","soil inorganic carbon content","soil","Scotland","England","Wales","Great Britian","wetland","Coastal","intertidal zone","blue carbon","carbonate","soil carbon"],"keywordsTheme":["Climate and climate change","Ecosystem services"],"licence":"Open government licence","lineage":"Across GB saltmarshes 10 cm long saltmarsh soil cores were collected using modified syringe corers. The location of each coring site was recorded using GPS. Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Inorganic carbon analysis was undertaken using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practices at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-18T09:48:52.000Z","orcid":["0009-0008-9568-2636","0000-0003-4535-2555","0000-0003-3904-2526","0000-0001-5437-6474","0000-0001-6544-3468"],"organisation":["University of St Andrews","Swansea University","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2026-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d137c080-e458-4427-8317-c62f24aa9433","10.5285/d137c080-e458-4427-8317-c62f24aa9433","doi:10.5285/d137c080-e458-4427-8317-c62f24aa9433"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises inorganic carbon measurements from saltmarsh soils collected across 69 salt marshes in Great Britain during 2019. The sites were selected to represent a range of contrasting habitats, particularly with respect to sediment type, vegetation communities,…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Inorganic carbon content of surficial soils from salt marshes across Great Britain, 2019","topic":["0/Climate and climate change/","0/Ecosystem services/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Tang","Stephens","Crory"],"authorFullName":["Tang, S.","Stephens, A.","Crory, A."],"authorGivenName":["S.","A."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","familyName":["Tang","Stephens","Crory"],"fullName":["Tang, S.","Stephens, A.","Crory, A."],"givenName":["S.","A.","Amy"],"identifier":"245f0abf-b7fd-4573-9dde-d6eee4d006a7","incomingCitationCount":0,"keyword":["ALPHA sampler","ammonia","Pollution"],"keywordsInstrument":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Local site operator duties are completed by Ulster Wildlife Trust (UWT) and analysis and plotting of results is completed by the Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month. ","locations":["POLYGON((-6.692 54.816, -6.692 54.833, -6.643 54.833, -6.643 54.816, -6.692 54.816))"],"metadataDate":"2026-07-24T19:24:45.000Z","organisation":["Centre for Ecology & Hydrology","Ulster Wildlife Trust","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/245f0abf-b7fd-4573-9dde-d6eee4d006a7","10.5285/245f0abf-b7fd-4573-9dde-d6eee4d006a7","doi:10.5285/245f0abf-b7fd-4573-9dde-d6eee4d006a7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Ammonia measurements from passive samplers at Ballynahone Bog field site (2014-2017)","topic":["0/Pollution/"],"version":1.0,"view":["public","leav"]},{"authorAffiliation":["University of Cambridge"],"authorFamilyName":["Royles","Griffiths"],"authorFullName":["Royles, J.","Griffiths, H."],"authorGivenName":["J. 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","locations":["POLYGON((0.29 52.29, 0.29 52.825, 0.628 52.825, 0.628 52.29, 0.29 52.29))"],"metadataDate":"2026-09-15T08:36:43.000Z","orcid":["0000-0003-0489-6863","0000-0002-3009-6563"],"organisation":["University of Cambridge","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/249034d3-2f4d-42c6-a3cd-113ff3a960c5","10.5285/249034d3-2f4d-42c6-a3cd-113ff3a960c5","doi:10.5285/249034d3-2f4d-42c6-a3cd-113ff3a960c5"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722"],"shortenedDescription":"The dataset contains monthly measurements of chlorophyll fluorescence measured using a Walz MINI-PAM II. The chlorophyll flouresence of growing tips of moss samples were measured  following saturating pulses three times in the field before dark adaptation three further…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":" Monthly field and dark adapted pulse amplitude modulation (PAM) fluorescence measurements of East Anglian mosses, April 2017 to October 2018","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds","S.R.U.C.","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Young","Martin-Ortega","Glenk","Baird","Jones","Rowe","Evans","Dallimer","Reed"],"authorFullName":["Young, D.M.","Martin-Ortega, J.M.","Glenk, K.","Baird, A.J.","Jones, L.","Rowe, E.","Evans, C.D.","Dallimer, M.","Reed, M."],"authorGivenName":["D.M.","J.M.","K.","A.J.","L.","E.","C.D.","M."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed.","documentType":"GEMINI_DOCUMENT","familyName":["Young","Martin-Ortega","Glenk","Baird","Jones","Rowe","Evans","Dallimer","Reed"],"fullName":["Young, D.M.","Martin-Ortega, J.M.","Glenk, K.","Baird, A.J.","Jones, L.","Rowe, E.","Evans, C.D.","Dallimer, M.","Reed, M.","Young, D."],"funder":["Natural Environment Research Council"],"givenName":["D.M.","J.M.","K.","A.J.","L.","E.","C.D.","M.","Dylan"],"grant":["NE/P00783X/1"],"identifier":"1d16b303-ca1d-43b4-93b1-c8172adc9792","incomingCitationCount":0,"keyword":["Blanket peat","DigiBog","Economic valuation","water table","peat"],"keywordsOther":["Blanket peat","DigiBog","Economic valuation","water table","peat"],"licence":"Open government licence","lineage":"The virtual peatland was set up with driving data and an underlying topography to represent a typical UK blanket peatland. The aim of the simulation was not to replicate peatland development at a specific location, but to create an analogue for blanket peat.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:17:55.000Z","organisation":["University of Leeds","S.R.U.C.","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1d16b303-ca1d-43b4-93b1-c8172adc9792","10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792","doi:10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches…","state":"published","supplementalDescription":["Young, D. M., A. J. Baird, P. J. Morris, and J. Holden (2017). Simulating the long-term impacts of drainage and restoration on the ecohydrology of peatlands. Water Resources Research, 53(8), 6510–6522.","DigiBog website "],"title":"Simulated peat heights and water-table depths for UK blanket bog","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Mackay","Clarke","Dodd","Feuchtmayr","Fletcher","James","Maberly","Rhodes","Thackeray"],"authorFullName":["Mackay, E.B.","Clarke, M.A.","Dodd, B.A.","Feuchtmayr, H.","Fletcher, J.M.","James, J.B.","Maberly, S.C.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["E.B.","M.A.","B.A.","H.","J.M.","J.B","S.C.","G.","S.J."],"authorOrcid":["0000-0001-5697-7062"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Mackay","Clarke","Dodd","Feuchtmayr","Fletcher","James","Maberly","Rhodes","Thackeray"],"fullName":["Mackay, E.B.","Clarke, M.A.","Dodd, B.A.","Feuchtmayr, H.","Fletcher, J.M.","James, J.B.","Maberly, S.C.","Rhodes, G.","Thackeray, S.J.","Mackay, E."],"funder":["Natural Environment Research Council"],"givenName":["E.B.","M.A.","B.A.","H.","J.M.","J.B","S.C.","G.","S.J.","Ellie"],"grant":["NE/R016429/1"],"identifier":"d029bb43-5722-4932-9c14-be316a2e7144","incomingCitationCount":0,"keyword":["Water quality","Lakes","Thermal stratification","Stratification onset","Stratification overturn","Stratification duration","Climate indicator","Long term change","Cumbrian Lakes Monitoring","United Kingdom","UK-SCAPE"],"keywordsOther":["Lakes","Thermal stratification","Stratification onset","Stratification overturn","Stratification duration","Climate indicator","Long term change","Cumbrian Lakes Monitoring","United Kingdom","UK-SCAPE"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The data were calculated from temperature profiles taken in each lake at the deepest point, using a calibrated temperature-oxygen sensor. Water temperatures were converted to density and the lake was considered stratified when the density gradient between the surface and bottom of the lake was >0.1 kg m-3. The start day of the main summer stratified period was considered to be the latest day before day of year 200 where a stratified period had a duration >14 days, the end day was defined as the final day of stratification for that stratified period and the duration calculated as the difference between these two days. More detail on the method used can be found in the supporting documentation.","locations":["POLYGON((-3.097 54.262, -3.097 54.43, -2.903 54.43, -2.903 54.262, -3.097 54.262))"],"metadataDate":"2026-07-25T14:17:05.000Z","orcid":["0000-0001-5697-7062"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d029bb43-5722-4932-9c14-be316a2e7144","10.5285/d029bb43-5722-4932-9c14-be316a2e7144","doi:10.5285/d029bb43-5722-4932-9c14-be316a2e7144"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017.\n\nThis work was supported by the Natural Environment…","state":"published","temporalExtentText":"Data collected from 1951 to 2017","title":"Cumbrian Lakes Monitoring thermal stratification timing 1951-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=3&facet=availability%7CAvailable"}