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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","identifier":"b3f5c053-0b47-4418-a01e-95e0fdd4e997","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2023-12-21T10:19:30.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b3f5c053-0b47-4418-a01e-95e0fdd4e997"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This series of datasets consists of ammonia (NH3) measurements from Ballynahone Bog, an ammonia sensitive peatland ecosystem in Northern Ireland. The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising…","state":"published","title":"Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["University of Manchester","Mahavir Cancer Sansthan"],"authorFamilyName":["Richards","Polya","Ghosh","Kumar"],"authorFullName":["Richards, L.A.","Polya, D.A.","Ghosh, A.","Kumar, A."],"authorGivenName":["L.A.","D.A.","A."],"authorOrcid":["https://orcid.org/0000-0001-5267-9850","https://orcid.org/0000-0002-7484-6696","https://orcid.org/0000-0003-3602-2327","https://orcid.org/0000-0002-8946-5909"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/028pheb30"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains water chemistry for inlet samples for remediation systems in Bihar, India and associated remediation system efficiency for arsenic removal. The dataset contains paired inlet-outlet data for 31 household and community groundwater remediation systems of different technology types (split into reverse osmosis/RO and non-reverse osmosis) and settings (household and non-household). The chemical data includes the composition of inlet water (concentrations of Fe, P, As, Ca, Mg, Na and Si) and associated arsenic removal.\n\nThis data was generated as part of the Indo-UK Water Quality Programme Project FAR-GANGA (NE/R003386/1 and DST/TM/INDO-UK/2K17/55(C) & 55(G)).","documentType":"GEMINI_DOCUMENT","familyName":["Richards","Polya","Ghosh","Kumar"],"fullName":["Richards, L.A.","Polya, D.A.","Ghosh, A.","Kumar, A."],"funder":["Natural Environment Research Council","Department of Science & Technology"],"givenName":["L.A.","D.A.","A."],"grant":["NE/R003386/1","DST/TM/INDO-UK/2K17/55(C)","DST/TM/INDO-UK/2K17/55(G)"],"identifier":"77700f8e-5da6-45ab-9c12-df1a7d20bc32","incomingCitationCount":0,"keyword":["inorganic contaminants","decision-support","remediation","groundwater","water treatment","arsenic"],"keywordsOther":["inorganic contaminants","decision-support","remediation","groundwater","water treatment","arsenic"],"licence":"Non-Open government licence","lineage":"A detailed description of the lineage of the data, including QA/QC steps, is included in the relevant publication Richards et al 2022. In brief, water samples were collected from remediation systems primarily in Bihar, India in 2019 as part of a wider groundwater sampling campaign of groundwater across Bihar. Groundwater samples were analysed using in-situ and laboratory techniques; concentrations of Fe, P, As, Ca, Mg, Na and Si were measured in the Manchester Analytical Geochemical Unit at The University of Manchester using inductively coupled plasma mass spectrometry (Agilent 7500cx) and inductively coupled plasma atomic emission spectrometry (Perkin-Elmer Optima 5300 dual view).","locations":["POLYGON((83.079 24.107, 83.079 27.571, 88.594 27.571, 88.594 24.107, 83.079 24.107))"],"metadataDate":"2026-06-29T17:02:02.000Z","orcid":["https://orcid.org/0000-0001-5267-9850","https://orcid.org/0000-0002-7484-6696","https://orcid.org/0000-0003-3602-2327","https://orcid.org/0000-0002-8946-5909"],"organisation":["University of Manchester","Mahavir Cancer Sansthan","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/77700f8e-5da6-45ab-9c12-df1a7d20bc32","10.5285/77700f8e-5da6-45ab-9c12-df1a7d20bc32","doi:10.5285/77700f8e-5da6-45ab-9c12-df1a7d20bc32"],"resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/028pheb30","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains water chemistry for inlet samples for remediation systems in Bihar, India and associated remediation system efficiency for arsenic removal. The dataset contains paired inlet-outlet data for 31 household and community groundwater remediation systems…","state":"published","supplementalDescription":["Richards et al 2022, Household and community systems for groundwater remediation in Bihar, India: Arsenic and inorganic contaminant removal, controls and implications for remediation selection. Science of the Total Environment, Volume 830, 154580"],"supplementalName":["Related paper","FAR-GANGA website"],"title":"Hydrogeochemical data for groundwater remediation systems in Bihar, India, 2018-2022","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"authorFullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"authorGivenName":["J.","G.","P.","E."],"authorOrcid":["https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-6233-8942"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021. The turbidity and concentration data were derived from a combination of instream sensors and lab-analysed water samples. Discharge data were derived using a stage-discharge rating curve constructed from manual measurements of flow velocity and water level sensor measurements. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. There are some periods of data gaps within the timeseries as a result of sensor errors which have been excluded. These data may be used to calculate suspended sediment and phosphorus fluxes loads leaving the catchment.\n\nThis work was supported by the Natural Environment Research Council (Grant NE/L002531/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"fullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"funder":["Natural Environment Research Council"],"givenName":["J.","G.","P.","E."],"grant":["NE/L002531/1"],"identifier":"9f80e349-0594-4ae1-bff3-b055638569f8","incomingCitationCount":0,"keyword":["Oxfordshire","Cotswolds","Hydrology","suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"keywordsOther":["suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"keywordsPlace":["Oxfordshire","Cotswolds"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data were generated using water level and turbidity sensors. Spot measurements of stream discharge were made using the velocity-area method and the dilution method to construct rating curves. Water samples were also taken across a range of flows to analyse suspended sediment and total phosphorus concentrations (mg L-1) in order to calibrate the turbidity readings. Data underwent QC to flag any spurious readings in the timeseries which were then removed and linearly interpolated where appropriate.","locations":["POLYGON((-1.664 51.852, -1.664 51.886, -1.603 51.886, -1.603 51.852, -1.664 51.852))"],"metadataDate":"2026-06-29T16:03:29.000Z","orcid":["https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-6233-8942"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f80e349-0594-4ae1-bff3-b055638569f8","10.5285/9f80e349-0594-4ae1-bff3-b055638569f8","doi:10.5285/9f80e349-0594-4ae1-bff3-b055638569f8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021.…","state":"published","title":"High-resolution time series of turbidity, suspended sediment concentration, total phosphorus concentration, and discharge in the Littlestock Brook, England, 2017-2021","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Swansea University","U.S. Forest Service ","University of Melbourne","University of Vienna","Universidad de Oviedo, Oviedo, Spain","University of Exeter","Wageningen University","Universitat de València","U.S. Geological Survey","South African National Parks","Universidad de Santiago de Compostela","U.S. Department of Agriculture Forest Service"],"authorFamilyName":["Neris","Doerr","Santín","Sánchez-García","Robichaud","Sheridan","Sigmund","Manley","González-Rodríguez","Belcher","Marcotte","Cerdá","Murphy","Strydom","Otero","Rhoades"],"authorFullName":["Neris, J.","Doerr, S.H.","Santín, C.","Sánchez-García, C.","Robichaud, P.R.","Sheridan, G.J.","Sigmund, G.","Manley, J.","González-Rodríguez, G.","Belcher, C.","Marcotte, A.","Cerdá, A.","Murphy, S.","Strydom, T.","Otero, X.","Rhoades, C."],"authorGivenName":["J.","S.H.","C.","P.R.","G.J.","G.","A.","S.","T.","X."],"authorOrcid":["https://orcid.org/0000-0002-8754-9236","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-9901-2658","https://orcid.org/0000-0001-6753-243X","https://orcid.org/0000-0002-2902-2401","https://orcid.org/0000-0003-1755-7334","https://orcid.org/0000-0003-2068-0878","https://orcid.org/0000-0002-2532-8665","https://orcid.org/0000-0003-3496-8290","https://orcid.org/0000-0001-5326-4489","https://orcid.org/0000-0002-5481-3635","https://orcid.org/0000-0002-9077-9446","https://orcid.org/0000-0001-5447-1842","https://orcid.org/0000-0002-3336-2257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes the chemical and physical properties of wildfire ash collected following wildland fires in different ecosystems and burn severity conditions across the globe. For the chemical properties, ash was collected from sampling sites across eight countries (Australia, Canada, South Africa, US, UK, The Netherlands, Spain and Austria). For the physical properties, ash was collected from four locations in Tenerife (Spain), Victoria (Australia), Manchester (UK) and Idaho (US).","documentType":"GEMINI_DOCUMENT","familyName":["Neris","Doerr","Santín","Sánchez-García","Robichaud","Sheridan","Sigmund","Manley","González-Rodríguez","Belcher","Marcotte","Cerdá","Murphy","Strydom","Otero","Rhoades"],"fullName":["Neris, J.","Doerr, S.H.","Santín, C.","Sánchez-García, C.","Robichaud, P.R.","Sheridan, G.J.","Sigmund, G.","Manley, J.","González-Rodríguez, G.","Belcher, C.","Marcotte, A.","Cerdá, A.","Murphy, S.","Strydom, T.","Otero, X.","Rhoades, C."],"givenName":["J.","S.H.","C.","P.R.","G.J.","G.","A.","S.","T.","X."],"identifier":"cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","incomingCitationCount":0,"keyword":["ash","fire","Wildfires","chemical composition","physical properties","wildfire impacts","nutrient mobilization","water quality"],"keywordsOther":["ash","fire","Wildfires","chemical composition","physical properties","wildfire impacts","nutrient mobilization","water quality"],"licence":"Open government licence","lineage":"Ash was collected in the field between 2003 & 2021, and brought to the laboratory where chemical and physical properties were analysed.\n\nThe total concentration of selected elements was determined following established protocols after microwave-assisted digestion. The concentration of the selected soluble chemical species was determined after a leachate experiments (see supporting documents for further information).\n\nAsh physical properties were determined following established methods (see supporting documents for further information).\n\nNo data analysis was conducted at this stage.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T17:01:46.000Z","orcid":["https://orcid.org/0000-0002-8754-9236","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-9901-2658","https://orcid.org/0000-0001-6753-243X","https://orcid.org/0000-0002-2902-2401","https://orcid.org/0000-0003-1755-7334","https://orcid.org/0000-0003-2068-0878","https://orcid.org/0000-0002-2532-8665","https://orcid.org/0000-0003-3496-8290","https://orcid.org/0000-0001-5326-4489","https://orcid.org/0000-0002-5481-3635","https://orcid.org/0000-0002-9077-9446","https://orcid.org/0000-0001-5447-1842","https://orcid.org/0000-0002-3336-2257"],"organisation":["Swansea University","U.S. Forest Service ","University of Melbourne","University of Vienna","Universidad de Oviedo, Oviedo, Spain","University of Exeter","Wageningen University","Universitat de València","U.S. Geological Survey","South African National Parks","Universidad de Santiago de Compostela","U.S. Department of Agriculture Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb","doi:10.5285/cd3d8b4e-0e0c-461c-8ec4-55e81d32eebb"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes the chemical and physical properties of wildfire ash collected following wildland fires in different ecosystems and burn severity conditions across the globe. For the chemical properties, ash was collected from sampling sites across eight countries…","state":"published","title":"Physical and chemical properties of wildfire ash collected from different ecosystems and burn severities across the globe, 2003-2021","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"17223091-ca33-41f8-bd5b-bdd2a222cdae","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Biodiversity Action Plan","land cover","map","habitat"],"keywordsOther":["Biodiversity Action Plan","land cover","map","habitat"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-27T18:54:13.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/17223091-ca33-41f8-bd5b-bdd2a222cdae","10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae","doi:10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover…","state":"published","title":"Land Cover Map 2023 (10m classified pixels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter"],"authorFamilyName":["Restrepo","Mercado"],"authorFullName":["Restrepo, Z.","Mercado, L.M."],"authorGivenName":["Z.","L.M."],"authorOrcid":["https://orcid.org/0000-0002-3213-9985","https://orcid.org/0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree diameter at the base, total tree height and height to the first branch, crown diameters, health status, survival and percentage of herbivory attacks over ten measuring campaigns from February 2019 until January 2022.\n\nTrait data includes leaf area, thickness, dry weight, leaf mass per area total number of branches and leaves per tree. Regarding the common garden plantations the trees were planted in the ground between November 2019 and January 2019 with planting height ranging between 50 and 100 cm (species dependent).","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo","Mercado","Restrepo Correa"],"fullName":["Restrepo, Z.","Mercado, L.M.","Restrepo Correa, Z."],"funder":["Natural Environment Research Council"],"givenName":["Z.","L.M.","Zorayda "],"grant":["NE/R001928/1"],"identifier":"c7ce1610-aba3-4a09-bf7c-1b6c774d597a","incomingCitationCount":0,"keyword":["Antioquia","tree","allometry ","growth","leaf traits"],"keywordsOther":["tree","allometry ","growth","leaf traits"],"keywordsPlace":["Antioquia"],"licence":"Open government licence","lineage":"Trees were planted in open areas in 0.32 m3 soil pits using 400 kg of soil per tree from soil extracted from a nearby location to the 14 deg C site to maintain soil physical and chemical conditions. All trees were tagged and their diameter at 2 cm height was labelled to ensure all posterior measurements were taken at the same stem position. All trees have been watered since planting during dry periods to allow successful plant establishment and avoid water-limitation effects. At each field site, trees were planted in four 600 m2 plots with six blocks within each plot, codified '1' to '6'.  The sixth block was used as a nutrient fertilisation treatment, with monthly additions of N, P, K and secondary and minor elements. Each block contains one tree of each of the fifteen-study species, for a total of 24 trees of each of the fifteen species per site, with 360 trees planted at each site.\n\nTrees were monitored (allometry and leaf structural traits) since they were 18-24 months old from February 2019 until January 2022. A total of ten measuring campaigns were performed for allometry and five for leaf structural traits. The first allometry census was performed at a mid-elevation nursery where trees were germinating and then growing for 18-24 months.  ","locations":["POLYGON((-75.75 5.513, -75.75 5.845, -75.55 5.845, -75.55 5.513, -75.75 5.513))"],"metadataDate":"2026-06-29T16:21:37.000Z","orcid":["https://orcid.org/0000-0002-3213-9985","https://orcid.org/0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c7ce1610-aba3-4a09-bf7c-1b6c774d597a","10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a","doi:10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree…","state":"published","title":"Leaf structural traits and allometry of juvenile trees across temperature treatments in an experimental plantation in the Colombian Andes, 2019-2022","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Glanville","De Sosa","Marshall","Cooper","Jones"],"authorFullName":["Glanville, H.C.","De Sosa, L.L.","Marshall, M.R.","Cooper, D.M.","Jones, D.L."],"authorGivenName":["H.C.","L.L. ","M.R.","D.M.","D.L."],"authorOrcid":["https://orcid.org/0000-0002-8192-6678","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0001-7578-7918"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a high glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Soil cores were collected from a field experiment in the Conwy catchment in July 2016 and returned the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. A high molecular weight substrate was added as a carbon source to the samples and the rate of 14C-substrate mineralization measured.\nAll the work was carried out by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\nThe measurements were taken to improve understanding of the relationship between microbial activity and soil properties and depth of sampling, under differing nutrient availability.\nThe data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.\n","documentType":"GEMINI_DOCUMENT","familyName":["Glanville","De Sosa","Marshall","Cooper","Jones"],"fullName":["Glanville, H.","Glanville, H.C.","De Sosa, L.L.","Marshall, M.R.","Cooper, D.M.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Helen","H.C.","L.L. ","M.R.","D.M.","D.L."],"grant":["NE/J011991/1"],"identifier":"a15c35d7-0247-4ea3-820b-f6f20cc5ffed","incomingCitationCount":0,"keyword":["liquid scintillation counter ","Conwy Catchment","North Wales","Turf2Surf (T2S)","Macronutrient Cycling Programme (MCP)","Environmental survey","Soil core"],"keywordsInstrument":["liquid scintillation counter "],"keywordsOther":["Soil core"],"keywordsPlace":["Conwy Catchment","North Wales"],"keywordsProject":["Turf2Surf (T2S)","Macronutrient Cycling Programme (MCP)"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Soil cores were collected from the field site and returned to laboratories of the School of Environment, Natural Resources and Geography, Bangor University.\nIn the laboratory soil cores were divided into depth intervals of 0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres and passed through a 5 millimetre sieve in order to remove stones and any plant material and to ensure sample homogeneity.\n\nTo measure the rate of 14C-substrate mineralization, 5 grams of soil (dry weight equivalent to account for soil water content variability down the soil profile) was placed into sterile 50 ml polypropylene tubes. To determine the rate of 14CO2 evolution, 50 microlitres (µl) of 14C-glucose labelled nutrient solution was added to the soil surface. Immediately after nutrient addition, a vial containing 1 millilitre (ml) Sodium Hydroxide (NaOH) trap (1 Molar (M)) was added into the polypropylene tubes to capture 14CO2 evolved. The tubes were hermetically sealed and incubated at 10 degrees Celsius to represent the mean annual temperature of the catchment. The NaOH traps were changed after 0.5, 1, 2, 4, 6, 24, 48, 72, 96, 120, 144, 168, 192, 336, 504, 672, 840 and 1008 hours and then weekly up to six weeks after initial 14C-labelling for the glucose-C additions. On removal, the NaOH traps were mixed with Optiphase HiSafe 3® liquid scintillation fluid (PerkinElmer Inc.) and the amount of 14CO2 captured was determined using a Wallac 1404 liquid scintillation counter (Wallac EG & G).\nData were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC","locations":["POLYGON((-3.784 53.201, -3.784 53.204, -3.781 53.204, -3.781 53.201, -3.784 53.201))"],"metadataDate":"2026-06-29T16:59:20.000Z","orcid":["https://orcid.org/0000-0002-8192-6678","https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0001-7578-7918"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a15c35d7-0247-4ea3-820b-f6f20cc5ffed","10.5285/a15c35d7-0247-4ea3-820b-f6f20cc5ffed","doi:10.5285/a15c35d7-0247-4ea3-820b-f6f20cc5ffed"],"resourceType":"Dataset","ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a high glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200…","state":"published","supplementalDescription":["Project website"],"supplementalName":["Turf2Surf"],"title":"Time series of microbial carbon release from soil as carbon dioxide under different nitrogen and phosphorus treatments with a high glucose concentration added as a carbon source in the Conwy catchment, North Wales, UK (2016)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","danor"]},{"altTitle":["[SPEI_IHU_HA]"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["M.","F.","C.","J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente-Serrano et al. [2]. SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012.\n\n[1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre https://doi.org/10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3\n[2] Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718. https://doi.org/10.1175/2009JCLI2909.1","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","M.","F.","C.","J."],"identifier":"19c230b2-415b-456a-9e93-7b00b730a465","incomingCitationCount":0,"keyword":["Hydrology","Integrated Hydrological Units","IHU","SPEI","indicator","rainfall extremes","climatic water balance","drought","evapotranspiration","atmospheric precipitation","hydrology"],"keywordsOther":["Integrated Hydrological Units","IHU","SPEI","indicator","rainfall extremes","climatic water balance","drought","evapotranspiration","atmospheric precipitation","hydrology"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"SPEI is calculated as originally defined in Vicente-Serrano et al. [1]. SPEI is based on the cumulative probability of a given Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - occurring at a location. The historic CWB data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the generalised logistic distribution. The maximum likelihood method was used to estimate the generalised logistic distribution parameters. To calculate SPEI, the R package SCI was used (Gudmundsson & Stagge [2]). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [3], Keller et al. [4]) and CHESS potential evapotranspiration dataset (Robinson et al. [5], [6]) which have been area-averaged over each of the Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [7]).\n\n[1] Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718. https://doi.org/10.1175/2009JCLI2909.1\n[2] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pd\n[3] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[4] Keller, V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ doi:10.5194/essdd-8-83-2015\n[5] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (in preparation), Trends in evaporative demand in Great Britain using high-resolution meteorological data\n[6] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2015). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]. NERC-Environmental Information Data Centre\n[7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. 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The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost Siberia, and lie north of latitude 40°N. The sample ages range from 21ka to present and are assigned to 1,000 year time slices. The dataset has been checked for consistent taxonomy and a redundancy-free taxonomy has been produced. ","documentType":"GEMINI_DOCUMENT","familyName":["Binney","Lozhkin","Anderson","Andreev","Bezrukova","Blyakharchuk","Jankovska","Khazhina","Krivonogov","Kremenetski","Novenko","Ryabogina","Solovieva","Zernitzkaya"],"fullName":["Binney, H.","Binney, H.A.","Lozhkin, A.","Anderson, P.","Andreev, A.","Bezrukova, E.","Blyakharchuk, T.","Jankovska, V.","Khazhina, I.","Krivonogov, S.","Kremenetski, K.","Novenko, E.","Ryabogina, N.","Solovieva, N.","Zernitzkaya, V."],"givenName":["Heather","H.A.","A.","P","E.","T.","V.","I.","S.","K.","N."],"identifier":"6aeba247-52d1-4e84-949f-603742af40c1","incomingCitationCount":2,"keyword":["Eurasia","Russia","Belarus","Ukraine","Late Quaternary","pollen"],"keywordsOther":["Late Quaternary","pollen"],"keywordsPlace":["Eurasia","Russia","Belarus","Ukraine"],"licence":"Open government licence","lineage":"The pollen samples were collected and processed by the contributors who attended the workshop in 2008. The pollen was analysed (counted) by the individual contributors responsible for the sites. The data was entered into the database at the workshop with additional site information added where possible. The pollen data are in original counts (not percentage data).","locations":["POLYGON((23.666 42.862, 23.666 77.368, 178.3 77.368, 178.3 42.862, 23.666 42.862))"],"metadataDate":"2026-06-29T16:17:13.000Z","organisation":["University of Southampton","North East Interdisciplinary Research Institute","University of Washington","University of Cologne","Vinogradov Institute of Geochemistry","Institute for Monitoring Climatic and Ecological Systems","Institute of Botany of the Czech Academy of Sciences","Sobolev Institute of Geology and Mineralogy","Novosibirsk State University","UCLA","Lomonosov Moscow State University","Institute of Problems of Development of the North","University College London","National Academy of Sciences of Belarus","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6aeba247-52d1-4e84-949f-603742af40c1","10.5285/6aeba247-52d1-4e84-949f-603742af40c1","doi:10.5285/6aeba247-52d1-4e84-949f-603742af40c1"],"resourceType":"Dataset","ror":["https://ror.org/01ryk1543","https://ror.org/00cvxb145","https://ror.org/00rcxh774","https://ror.org/01gqnz112","https://ror.org/04d7gd791","https://ror.org/01ds31v72","https://ror.org/04t2ss102","https://ror.org/046rm7j60","https://ror.org/010pmpe69","https://ror.org/02jx3x895","https://ror.org/02j8pe645","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains fossil and modern pollen data collated during a workshop held in the UK in 2008 as part of the NERC (Quantifying and Understanding the Earth System) QUEST programme. The 96 sampling sites are located from 24°E (western Ukraine and Belarus) to easternmost…","state":"published","title":"Eurasian pollen data from 21 kiloannum to the present","version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of Surrey","Victoria Institute of Research on Environment and Development (VIRED) International","Jaramogi Oginga Odinga University of Science and Technology","University of Southampton"],"authorFamilyName":["Pedley","Okotto-Okotto","Okotto","Price","Wright"],"authorFullName":["Pedley, S.","Okotto-Okotto, J.","Okotto, L.","Price, H.","Wright, J."],"authorGivenName":["S.","J.","L.","H."],"authorRor":["https://ror.org/00ks66431","https://ror.org/03ffvb852","https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains free residual chlorine, turbidity, nitrate, chloride, sulphate, fluoride, phosphate and thermatolerant coliform concentrations in groundwater from a variety of sources within two neighbourhoods of Kisumu, Kenya. A total of 73 groundwater sources were tested between February and March 2014. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Wright","Pedley","Okotto-Okotto","Okotto","Price"],"fullName":["Wright, J.A.","Pedley, S.","Okotto-Okotto, J.","Okotto, L.","Price, H.","Wright, J."],"givenName":["J.A.","S.","J.","L.","H."],"identifier":"4062e6d9-2e90-4775-87f1-179dea283ef1","incomingCitationCount":0,"keyword":["Kenya","Kisumu","Manyatta","Migosi","urbanisation","water pollution","groundwater","latrines","water well"],"keywordsOther":["urbanisation","water pollution","groundwater","latrines","water well"],"keywordsPlace":["Kenya","Kisumu","Manyatta","Migosi"],"licence":"Open government licence","lineage":"Samples were collected using a standardised protocol and analysed within seven hours of collection. Laboratory analyses were conducted by the same individual using calibrated instrumentation. Blanks were run for each analytical method and, where the number of samples allowed, duplicate analyses were carried out on the first and last sample of each batch to measure analytical repeatability.","locations":["POLYGON((34.583 -0.183, 34.583 0.033, 34.917 0.033, 34.917 -0.183, 34.583 -0.183))"],"metadataDate":"2026-06-29T16:06:04.000Z","organisation":["University of Southampton","University of Surrey","Victoria Institute of Research on Environment and Development (VIRED) International","Jaramogi Oginga Odinga University of Science and Technology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-11-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1412343338300","CEH:EIDC::1412343338300","https://catalogue.ceh.ac.uk/id/4062e6d9-2e90-4775-87f1-179dea283ef1","10.5285/4062e6d9-2e90-4775-87f1-179dea283ef1","doi:10.5285/4062e6d9-2e90-4775-87f1-179dea283ef1"],"resourceType":"Dataset","ror":["https://ror.org/01ryk1543","https://ror.org/00ks66431","https://ror.org/03ffvb852","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains free residual chlorine, turbidity, nitrate, chloride, sulphate, fluoride, phosphate and thermatolerant coliform concentrations in groundwater from a variety of sources within two neighbourhoods of Kisumu, Kenya. A total of 73 groundwater sources…","state":"published","title":"Groundwater microbiology and chemistry of shallow wells, boreholes and springs in Kisumu, Kenya in 2014","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"59a1555f-1c51-4724-97b5-c61a7bef353d","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Map","Habitat","Biodiversity Action Plan"],"keywordsOther":["Map","Habitat","Biodiversity Action Plan"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-29T15:43:19.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59a1555f-1c51-4724-97b5-c61a7bef353d","10.5285/59a1555f-1c51-4724-97b5-c61a7bef353d","doi:10.5285/59a1555f-1c51-4724-97b5-c61a7bef353d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. 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This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"0ff4958d-47bc-4260-9aaf-399de3b83b6f","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Biodiversity Action Plan","mapping","habitat","land cover"],"keywordsOther":["Biodiversity Action Plan","mapping","habitat","land cover"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-27T15:17:35.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ff4958d-47bc-4260-9aaf-399de3b83b6f","10.5285/0ff4958d-47bc-4260-9aaf-399de3b83b6f","doi:10.5285/0ff4958d-47bc-4260-9aaf-399de3b83b6f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel…","state":"published","title":"Land Cover Map 2023 (land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Lancaster University","Aqua Enviro (SUEZ Smart and Environmental  Solutions UK)","Stopford Energy & Environment (United Kingdom)","Unaffiliated"],"authorFamilyName":["Lag-Brotons","Thompkins","Burguess","Marshall","Herbert","Hurst","Semple"],"authorFullName":["Lag-Brotons, A.J.","Thompkins, D.","Burguess, A.","Marshall, R.","Herbert, B.","Hurst, L.","Semple, K.T."],"authorGivenName":["A.J.","D.","A.","R.","B. ","L.","K.T."],"authorOrcid":["https://orcid.org/0000-0001-9856-2797","https://orcid.org/0000-0002-8994-7713","https://orcid.org/0000-0001-8239-8953","https://orcid.org/0000-0003-0363-1302","https://orcid.org/0000-0002-4046-2037"],"authorRor":["https://ror.org/04f2nsd36","https://ror.org/05x786n86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the chemical compositional changes occurred in anaerobic digestate, with and without biomass ash, simulating storage conditions during 128 days. Additionally, Sulphuric Acid (H2SO4) was added to these materials to test the effectivity on preventing nitrogen loss via acidification. Experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. The dataset provides data on chemical changes, namely: dry solids, pH, Kjeldahl nitrogen and total sulphur.","documentType":"GEMINI_DOCUMENT","familyName":["Lag-Brotons","Thompkins","Burguess","Marshall","Herbert","Hurst","Semple"],"fullName":["Lag-Brotons, A.J.","Thompkins, D.","Burguess, A.","Marshall, R.","Herbert, B.","Hurst, L.","Semple, K.T."],"funder":["Natural Environment Research Council"],"givenName":["A.J.","D.","A.","R.","B. ","L.","K.T."],"grant":["NE/L014122/1"],"identifier":"e91e8c28-0176-4c5b-9b20-611eb505ab39","incomingCitationCount":0,"keyword":["Anaerobic digestate","Biomass ash","United Kingdom","fertiliser","chemical composition","waste management","bioenergy production","biomass energy","anaerobic digestion","acidification","sulphur","nitrogen"],"keywordsOther":["Anaerobic digestate","Biomass ash","United Kingdom","fertiliser","chemical composition","waste management","bioenergy production","biomass energy","anaerobic digestion","acidification","sulphur","nitrogen"],"licence":"Open government licence","lineage":" All data was generated by the authors, yet a share of it was obtained via externally accredited analytical laboratories. Data quality was checked by appropriate means (dependent on the parameter measured) but generally: reported values were above the detection limit of the method; measurements were within accepted tolerance range; samples were diluted and re-measured when out of calibration range and all calculation were checked for errors before data deemed as definitive.","metadataDate":"2026-06-29T16:05:49.000Z","orcid":["https://orcid.org/0000-0001-9856-2797","https://orcid.org/0000-0002-8994-7713","https://orcid.org/0000-0001-8239-8953","https://orcid.org/0000-0003-0363-1302","https://orcid.org/0000-0002-4046-2037"],"organisation":["Lancaster University","Aqua Enviro (SUEZ Smart and Environmental  Solutions UK)","Stopford Energy & Environment (United Kingdom)","Unaffiliated","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Stopford Energy and Environment"],"publicationDate":"2020-11-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e91e8c28-0176-4c5b-9b20-611eb505ab39","10.5285/e91e8c28-0176-4c5b-9b20-611eb505ab39","doi:10.5285/e91e8c28-0176-4c5b-9b20-611eb505ab39"],"resourceType":"Non-geographic dataset","rightsHolder":["Stopford Energy and Environment","Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/05x786n86","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the chemical compositional changes occurred in anaerobic digestate, with and without biomass ash, simulating storage conditions during 128 days. Additionally, Sulphuric Acid (H2SO4) was added to these materials to test the effectivity on preventing…","state":"published","title":"Chemical composition of anaerobic digestate and biomass ash blends as a result of storage","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Exeter","University of Edinburgh","Universidad de Antioquia","Universidad del Rosario"],"authorFamilyName":["Cox","González-Caro","Meir","Hartley","Restrepo","Villegas","Sanchez","Mercado"],"authorFullName":["Cox, A.J.F.","González-Caro, S.","Meir, P.","Hartley, I.P.","Restrepo, Z.","Villegas, J.C.","Sanchez, A.","Mercado, L.M."],"authorGivenName":["A.J.F.","S.","P.","I.P.","Z.","J.C.","A.","L.M."],"authorOrcid":["https://orcid.org/0000-0002-5166-7169","https://orcid.org/0000-0002-2287-7431","https://orcid.org/0000-0002-2362-0398","https://orcid.org/0000-0002-9183-6617","https://orcid.org/0000-0002-3213-9985","https://orcid.org/0000-0003-4069-0838"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf dry matter content, leaf area, leaf width) nutrient (nitrogen and phosphorus, expressed on area- and mass-bases) and water-use efficiency (13C and g1) traits. Values for these traits were obtained by a combination of laboratory analysis, raw measurements with handheld equipment, and processing with packages in the ‘R’ environment. ","documentType":"GEMINI_DOCUMENT","familyName":["Cox","Mercado","González-Caro","Meir","Hartley","Restrepo","Villegas","Sanchez"],"fullName":["Cox, A.J.F.","Mercado, L.M.","González-Caro, S.","Meir, P.","Hartley, I.P.","Restrepo, Z.","Villegas, J.C.","Sanchez, A."],"givenName":["A.J.F.","L.M.","S.","P.","I.P.","Z.","J.C.","A."],"identifier":"55ed98e7-f150-43c8-9b93-d639c1c8af3e","incomingCitationCount":0,"keyword":["Andean montane forests","leaf functional traits","thermal acclimation ","plasticity"],"keywordsOther":["Andean montane forests","leaf functional traits","thermal acclimation ","plasticity"],"licence":"Open government licence","lineage":"Leaf material was collected from eight species at the experimental sites. Immediately after collection, leaves were sealed in individual plastic bags with damp cotton wool to prevent premature drying.\nFor leaf structural traits, the following procedures were followed. High-precision electronic callipers were used to measure leaf thickness from three areas of each leaf, avoiding the central vein, with the average of these three measurements taken to be leaf thickness (mm). Images were taken of each leaf using a CanoScan LiDE 300 flatbed scanner and then processed using the ‘R’ environment (v4.2.1; R Core Team, 2022) to calculate leaf area (cm2) and leaf width (mm): leaf area was obtained using the ‘LeafArea’ package in R which automates the ImageJ programme while leaf width values were calculated using the ‘LeafJ’ plugin for ImageJ. Following scanning, leaves were weighed to give their wet weight before being dried in an oven to constant mass for approximately 48 hours at 70°C, then re-weighed to give their dry weight. Leaf dry matter content (mg g-1) was calculated as the quotient of leaf dry weight to leaf wet weight while leaf mass per unit area (g m-2) was calculated by dividing dry weight by LA.\nFor leaf nutrients and 13C values, leaves were ground into a powder using a shaker mill and ~1 mg of sample for each was then packed into tin capsules and run through an infrared mass spectrometer. This returned %N values, and thus, mass-based nitrogen content, as well as 13C. For leaf P content, 0.1-0.2 g of sample was subjected to ICP-OES analysis with a unique Dichroic Spectral; this returned mass-based phosphorus content. Both leaf N and P can be expressed on an area-basis by dividing by LMA.\nFor g1, the unified stomatal model was then fitted to diurnal course An and gs measurements in the R environment using the ‘plantecophys’ package to obtain the model parameter g1. The An and gs measurements were collected using LI-6400XT portable photosynthesis system with the ambient conditions (photosynthetically active radiation, relative humidity, air temperature and 410ppm CO2) for each leaf replicated within the cuvette of the LI-6400XT before the leaf was inserted, allowing readings to be taken almost immediately. \n","locations":["POLYGON((-78.003 0.264, -78.003 11.867, -71.675 11.867, -71.675 0.264, -78.003 0.264))"],"metadataDate":"2026-06-29T16:47:24.000Z","orcid":["https://orcid.org/0000-0002-5166-7169","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-2287-7431","https://orcid.org/0000-0002-2362-0398","https://orcid.org/0000-0002-9183-6617","https://orcid.org/0000-0002-3213-9985"],"organisation":["University of Exeter","University of Edinburgh","Universidad de Antioquia","Universidad del Rosario","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-10-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55ed98e7-f150-43c8-9b93-d639c1c8af3e","10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e","doi:10.5285/55ed98e7-f150-43c8-9b93-d639c1c8af3e"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes key leaf functional trait data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. From eight species, there are a selection of leaf structural (leaf mass per unit area, leaf thickness, leaf…","state":"published","title":"Leaf functional trait data from three experimental sites in the Colombian Andes, June-August 2019","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Essex","University of Oxford","Soil Conservation Service of Iceland","University of Iceland","Stockholm University","University of Helsinki"],"authorFamilyName":["O'Gorman","Warner","Marteinsdóttir","Helmutsdóttir","Ehrlén","Robinson"],"authorFullName":["O'Gorman, E.J.","Warner, E.","Marteinsdóttir, B.","Helmutsdóttir, V.F.","Ehrlén, J.","Robinson, S.I."],"authorGivenName":["E.J.","E.","B.","V.F.","J.","S.I."],"authorOrcid":["https://orcid.org/0000-0003-4507-5690","https://orcid.org/0000-0003-2236-9725","https://orcid.org/0000-0003-3779-7327","https://orcid.org/0000-0001-8539-8967","https://orcid.org/0000-0002-8831-0497"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35 °C on average over the sampling period, yet they occur within 1 km of each other and have similar soil moisture, pH, nitrate, ammonium, and phosphate.","documentType":"GEMINI_DOCUMENT","familyName":["O'Gorman","Warner","Marteinsdóttir","Helmutsdóttir","Ehrlén","Robinson"],"fullName":["O'Gorman, E.J.","Warner, E.","Marteinsdóttir, B.","Helmutsdóttir, V.F.","Ehrlén, J.","Robinson, S.I."],"funder":["Natural Environment Research Council"],"givenName":["E.J.","E.","B.","V.F.","J.","S.I."],"grant":["NE/L011840/2","NE/M020843/1"],"identifier":"da5d7028-2aec-4da2-96ff-f347a0dfa77e","incomingCitationCount":0,"keyword":["natural experiment","trophic ","climate change","global warming"],"keywordsOther":["natural experiment","trophic ","climate change","global warming"],"licence":"Open government licence","lineage":"Herbivory assessments were made at the plant community and species levels. We focused on three plant species with a widespread occurrence across the temperature gradient: cuckooflower (Cardamine pratensis, Linnaeus), common mouse-ear (Cerastium fontanum, Baumgerten), and marsh violet (Viola palustris, Linnaeus). For assessments of invertebrate herbivory at the species level, thirty individuals per species of C. pratensis, C. fontanum, and V. palustris were marked in each of ten plots, using a stratified random sampling method where individuals were randomly selected, but the full range of within-plot soil temperatures was represented. For assessments of invertebrate herbivory at the community level, five 50 × 50 cm quadrats were marked at random points in eight of the plots that best captured the full temperature gradient. The community-level herbivory assessment was conducted on 19th June. The number of damaged plants was recorded out of 100 random individuals, selected using a 10 × 10 grid within each 50 × 50 cm quadrat. For the species-level herbivory assessment, individual marked plants were surveyed for signs of invertebrate herbivory every two weeks from 30th May to 2nd July, generating three time-points per species. At each survey, all marked individuals for each species were assessed within a 48-hour period. Plants were recorded as damaged or not damaged by invertebrate herbivores at each time-point. Further details of how phenological stage of development, vegetation community composition, soil temperature, moisture, pH, nitrate, ammonium, and phosphate were recorded are provided in the supporting documentation.","locations":["POLYGON((-21.279 64.044, -21.279 64.061, -21.321 64.061, -21.321 64.044, -21.279 64.044))"],"metadataDate":"2026-06-29T16:22:35.000Z","orcid":["https://orcid.org/0000-0003-4507-5690","https://orcid.org/0000-0003-2236-9725","https://orcid.org/0000-0003-3779-7327","https://orcid.org/0000-0001-8539-8967","https://orcid.org/0000-0002-8831-0497"],"organisation":["University of Essex","University of Oxford","Soil Conservation Service of Iceland","University of Iceland","Stockholm University","University of Helsinki","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/da5d7028-2aec-4da2-96ff-f347a0dfa77e","10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e","doi:10.5285/da5d7028-2aec-4da2-96ff-f347a0dfa77e"],"resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This is a dataset of environmental data, vegetation cover, and community- and species-level invertebrate herbivory, sampled at 14 experimental soil plots in the Hengill geothermal valley, Iceland, from May to July 2017. The plots span a temperature gradient of 5-35…","state":"published","title":"Invertebrate herbivory data across a natural soil temperature gradient in Iceland from May-July 2017","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset.  A full set of UKBMS monitoring sites is available in a separate dataset requested via the UKBMS website.\nThe UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are year new sites each and a small number where the transect is no longer surveyed.  Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed. \n\nThe majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types.\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.\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":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"funder":["Natural Environment Research Council"],"givenName":["M.","T.","S.","C.","I.","Z.","D.B.","Marc","Tom"],"grant":["NE/R016429/1"],"identifier":"8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","incomingCitationCount":1,"keyword":["Biodiversity","UK-SCAPE","Wales","United Kingdom","Scotland","England","Northern Ireland","lepidopteran","butterfly"],"keywordsOther":["UK-SCAPE","Wales","United Kingdom","Scotland","England","Northern Ireland","lepidopteran","butterfly"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:28:35.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","doi:10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site location data 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2024 (LCM2024) is a suite of datasets (raster, polygon and csv) describing the UK land surface in 2024. They were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2024.\n\nLCM2024 includes a new land cover statistics data set, with both vector (spatial) and csv versions, plus four geospatial datasets each for Great Britain and Northern Ireland, specifically:\n\n- 10 m Classified Pixel dataset, classified to create a single mosaic of national cover\n- Land Parcel datasets (vector data) which are the result of intersecting the 10 m Classified Pixel dataset with the UKCEH Land Parcel Spatial Framework to generate land parcel attributes\n- 25 m Pixel Rasterised Land Parcel datasets: the result of rasterising the Land Parcel dataset into 25 m pixels\n- 1 km summary raster products, summarising dominant land cover class and percentage coverage of each land cover class\n\nLCM2024 is the twelfth UK land cover map produced by UKCEH. Previous versions are LCM1990, 2000, 2007, 2015, 2017, 2018, 2019, 2020, 2021, 2022 and 2023.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"5af9e97d-9f33-495d-8323-e57734388533","incomingCitationCount":0,"keyword":["Land cover","Mapping","land cover","mapping"],"keywordsOther":["land cover","mapping"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","metadataDate":"2026-03-25T16:47:49.000Z","orcid":["https://orcid.org/0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5af9e97d-9f33-495d-8323-e57734388533"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"Land Cover Map 2024 (LCM2024) is a suite of datasets (raster, polygon and csv) describing the UK land surface in 2024. They were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2024.\n\nLCM2024 includes a new land cover statistics…","state":"published","title":"Land Cover Map 2024","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["clro","phtr","public","cmarston"]},{"authorAffiliation":["Environmental Change Institute"],"authorFamilyName":["Verschuur"],"authorFullName":["Verschuur, J."],"authorGivenName":["J."],"authorOrcid":["https://orcid.org/0000-0002-5277-4353"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the projected fuel demand per vessel type in the year 2050 at 1377 ports around the world. The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter than 1000 km are excluded as these will likely be electrified.  The projected fuel demand is given in tonnes of Heavy Fuel Oil.","documentType":"GEMINI_DOCUMENT","familyName":["Verschuur"],"fullName":["Verschuur, J."],"funder":["Natural Environment Research Council"],"givenName":["J."],"grant":["NE/W004976/1"],"identifier":"f22a6c34-bd82-4fde-911c-16793f2a6752","incomingCitationCount":0,"keyword":["merchant shipping","fuel","international trade","decarbonization","trade projections"],"keywordsOther":["merchant shipping","fuel","international trade","decarbonization","trade projections"],"licence":"Open government licence","lineage":"Data are generated by coupling a previously developed Global Maritime Transport Model (OxMarTrans) with a vessel database including fuel consumption. This enables the quantification of present-day fuel demand at ports globally. This is combined with trade projections for 2050 (compared to 2015) which are used to scale fuel demand into the future. The dataset provided is the end-result of this, with fuel demand at the port-level provided for each future trade scenario. Quality assurance is provided by comparing the global fuel demand estimates with other modelling studies, showing that our estimates compare closely with other studies. ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T16:04:16.000Z","orcid":["https://orcid.org/0000-0002-5277-4353"],"organisation":["Environmental Change Institute","University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f22a6c34-bd82-4fde-911c-16793f2a6752","10.5285/f22a6c34-bd82-4fde-911c-16793f2a6752","doi:10.5285/f22a6c34-bd82-4fde-911c-16793f2a6752"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the projected fuel demand per vessel type in the year 2050 at 1377 ports around the world. The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter…","state":"published","title":"Maritime fuel demand projections for the year 2050 at 1377 global ports","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland"],"authorFamilyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"authorFullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"authorGivenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in liver tissues for 68 polecats found dead in Great Britain between 2013 and 2016. \n\nAll carcasses were stored frozen until necropsy examination at the National Museum of Scotland (with support from The Negaunee Foundation). \n\nLiver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Funding for the rodenticide analysis was provided by the People's Trust for Endangered Species and CEH.\n\nPhD funding from The Vincent Wildlife Trust and the University of Exeter.","documentType":"GEMINI_DOCUMENT","familyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"fullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"funder":["Vincent Wildlife Trust"],"givenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"identifier":"2f49911c-192c-4f09-a1a2-72a21f20706c","incomingCitationCount":1,"keyword":["Environmental risk","Environmental survey","Agriculture","European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsOther":["European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsTheme":["Environmental risk","Environmental survey","Agriculture"],"licence":"Open government licence","lineage":"Polecat carcasses were collected as part of a national monitoring survey carried out by the Vincent Wildlife Trust between December 2013 and March 2016.  Sixty-eight carcasses were selected for rodenticide analysis, based on stratification by sex, location and collection date.  Of the animals selected 56 were road traffic casualties; the remainder were found dead in fields, killed by dogs, trapped or the cause of death was unknown. \nCollection date and location were recorded for all carcasses, which were stored frozen until necropsy examination at the National Museum of Scotland. The poor condition of the majority of the carcasses precluded assessment of clinical signs of exposure to rodenticides. Where carcass condition allowed, gross necropsy examination included recording of sex, head and body length (nose to tip of tail), mass and internal fat, scored on a five-point scale. Teeth (for ageing), whiskers (for stable isotope analysis) and liver tissue (for rodenticide analysis) were collected.  Liver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Whiskers were prepared for analysis at the University of Exeter and analysed at Elemtex, UK and teeth were sent to Matson’s Lab LLC, USA for aging by analysis of cementum layers.\nRodenticide analysis: Concentrations of the five SGARs licensed for use in Great Britain (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) were determined in the polecat livers. A 0.25 g sub-sample of each liver was thawed, weighed accurately, ground and dried with anhydrous sodium sulphate. Labelled standard (d5- Bromadiolone, QMx) was added to each sample for quality control purposes and determination of analyte recovery.  Each liver sub-sample was solvent-extracted and then cleaned-up using size exclusion chromatography followed by elution through solid-phase cartridges. Extraction was carried out twice with clean solvent. Each extraction involved vortex mixing of the sample with 1:1 v/v chloroform:acetone, mechanical shaking and centrifugation. The resultant supernatants from the two extraction runs were combined, solvent-exchanged into (1:1; v/v) chloroform:acetone, filtered (0.2 mm PTFE filter), subjected to a further solvent exchange into (1:23; v/v) acetone:DCM, filtered again, and cleaned-up by size-exclusion chromatography (Agilent 1200 HPLC).  The cleaned extract was solvent-exchanged into 1:1:8; v/v. chloroform:acetone:acetonitrile and underwent a second clean-up using solid phase, methanol-washed, acetonitrile-activated extraction cartridges (ISOLUTE® SI 500 mg, 6 ml).  The cartridges were eluted with the same solvent and the eluate exchanged for the mobile phase.\nLiver SGAR residues were quantified by HPLC linked to a triple quadrupole mass spectrometer interfaced with an ion max source in Atmospheric Pressure Chemical Ionisation mode (APCI) with negative polarity.  Full details of the operational parameters used are as given by Walker et al. (2017).  All rodenticide standards (Dr Ehrenstorfer) were matrix matched and linear calibration curves were defined such that R2>0.99. A blank was run with each batch of unknowns.  The mean method limit of detection (LOD) across batches for each compound was 0.0014 µg/g, except for difethialone which was 0.0022 µg/g. The mean (± SE) recovery for the total procedure was calculated from the labelled bromadiolone standard applied to each sample and was 68.0 ±2.1%. Liver SGAR concentrations were not recovery corrected and are expressed on a wet weight basis.  Summed (Σ) SGAR liver concentrations in individual animals were calculated by summing the concentrations of the five different SGARs, a zero concentration being assigned to individual compounds that were not detected.\nStable isotope analysis: Whiskers were gently rinsed in distilled water and then freeze dried for 24 hours. One whisker per animal was cut into ~1mm segments using a scalpel, starting at the proximal end of the whisker. Consecutive segments were pooled until the summed sample weight was ~0.7 mg.  The sample was enclosed in a tin cup and put into a tray for analysis. The next segment was prepared in the same way and the process was further repeated until either the whole whisker was used, or less than 0.2 mg was remaining.  Samples were analysed on a Thermoquest EA1110 elemental analyser linked to a Europa Scientific 2020 isotope ratio mass spectrometer at Elemtex Ltd (Cornwall, UK) for δ15N and δ13C. δ15N and δ13C abundance are reported as δ-values and expressed as a per mil (‰) deviation from the international reference standards (PDB for carbon and AIR for nitrogen). Replicate analysis of standards (USGS 40, USGS 41 and an in-house bovine liver standard) yielded standard deviations of 0.05 – 0.29 for δ15N and 0.05 – 0.22 for δ13C. \nCementum ageing was undertaken by Matson’s Lab LLC (Manhattan, MT, USA) following a standard protocol. After decalcification in a weak hydrochloric acid solution, teeth were sectioned sagittally and mounted on glass slides. The sections were stained to allow visual differentiation of annual cementum growth layers. These layers (annuli) were examined microscopically for age estimation at time of death. Birth date was set to 1 May for the purpose of estimating age in months.\nCalibration with historical dataset: Combination of new and historical data involved applying the limits of detection (LOD) for each compound from Shore et al. (2003), which were higher than those in the present study, to eliminate biases caused by changes in analytical sensitivity.\nFor full references please refer to the supporting document.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:05:14.000Z","organisation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f49911c-192c-4f09-a1a2-72a21f20706c","10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c","doi:10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in…","state":"published","title":"Secondary exposure to second-generation anticoagulant rodenticides in European polecats (Mustela putorius) in Great Britain 2013 to 2016","topic":["0/Environmental risk/","0/Environmental survey/","0/Agriculture/"],"version":1.0,"view":["public","jgar"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}