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Each row represents a potential habitat conversion scenario, including habitat type, distinctiveness, condition scores, temporal risk factors, and technical difficulty multipliers.\nThe dataset was created as part of the Agile Sprint 11 of NERC Grant NE/W004976/1.","documentType":"GEMINI_DOCUMENT","familyName":["Gall","Duffus","zu Ermgassen"],"fullName":["Gall, S.","Duffus, N.","zu Ermgassen, S.","Sarah Gall"],"funder":["Natural Environment Research Council"],"givenName":["S.","N","S"],"grant":["NE/W004976/1"],"identifier":"2700244a-aff1-496a-9214-6bf0c0aac780","incomingCitationCount":0,"keyword":["Biodiversity","Land use","Modelling","Biodiversity Net Gain","Nature market","Nature finance","Biodiversity restoration","Habitat restoration"],"keywordsOther":["Biodiversity Net Gain","Nature market","Nature finance","Biodiversity restoration","Habitat restoration"],"keywordsTheme":["Biodiversity","Land use","Modelling"],"licence":"Open government licence","lineage":"The dataset was generated using habitat classification information combined with parameters from the Biodiversity Metric framework. 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Technical difficulty multipliers and temporal risk multipliers were applied also according to the Biodiversity Metric 4.0: Technical Annex 2 - Technical Information (Natural England, 2023).\nCalculations were done using Python and Microsoft Excel.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-11-05T14:36:51.000Z","orcid":["0000-0003-4676-4519"],"organisation":["University of Oxford","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2700244a-aff1-496a-9214-6bf0c0aac780","10.5285/2700244a-aff1-496a-9214-6bf0c0aac780","doi:10.5285/2700244a-aff1-496a-9214-6bf0c0aac780"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a structured table of potential habitat conversions and their associated biodiversity unit calculations under the Biodiversity Net Gain (BNG) framework implemented in England. 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Three…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Public perceptions of tidal energy - survey data collected in 2018 from residents living in Weston-super-Mare, Minehead and the Taw-Torridge estuary, SW England","version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service displays existing and potential areas of habitats associated with calcareous, coastal, upland and lowland heath landscapes. The dataset was initially created to provide a sampling framework for a field survey carried out in 1992 and 1993 by the Institute of Terrestrial Ecology (later part of the Centre for Ecology & Hydrology). It was derived from a range of geology, soils, altitude and land cover data.","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C."],"givenName":["Claire"],"identifier":"f7431ee8-9508-4059-ad8b-900ad3c20e17","incomingCitationCount":0,"keyword":["Mapping","Calcareous","Uplands","Lowland heath","Coastal"],"keywordsOther":["Calcareous","Uplands","Lowland heath","Coastal"],"keywordsTheme":["Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-08-12T11:41:42.000Z","organisation":["Environmental Information Data Centre","Centre for Ecology & Hydrology"],"publicationDate":"2017-10-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7431ee8-9508-4059-ad8b-900ad3c20e17"],"resourceType":"Service","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This web map service displays existing and potential areas of habitats associated with calcareous, coastal, upland and lowland heath landscapes. 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The research was funded by the Natural Environment Research Council (Grant NE/S009019/1).","documentType":"GEMINI_DOCUMENT","familyName":["Iqbal","Bano","Kiran","Naeem","Khan","Wakeel","Sajjad","Aziz","Sutton","Price","Prins","Shewry","Alabdullah","Maqsood"],"fullName":["Iqbal, R.","Bano, Z.","Kiran, A.","Naeem, M.K.","Khan, M.R.","Wakeel, A.","Sajjad, H.","Aziz, T.","Sutton, M.","Price, A.","Prins, A.","Shewry, P.","Alabdullah, A.K.","Maqsood, M.A."],"funder":["Natural Environment Research Council"],"givenName":["Rubab","Zunaira","Aysha","Muhammad Kashif","Muhammad Ramzan","Abdul","Hassan","Tariq","Mark","Adam","Anneke","Peter","Abdul Kader","Muhammad Aamer","A."],"grant":["NE/S009019/1"],"identifier":"291ca8d7-6178-4e6f-98a5-f59225d884cd","incomingCitationCount":0,"keyword":["Agriculture","nitrogenous fertiliser","nitrogen use efficiency","Pakistan"],"keywordsOther":["nitrogenous fertiliser","nitrogen use efficiency","Pakistan"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"DNA was extracted from 21 day old seedlings using the Wizard Genomic DNA Purification Kit (Promega, UK). Quantity and quality was checked using an ND-1000 spectrophotometer (Thermo Fisher Scientific, USA) and a Qubit 2.0 fluorometer using a Qubit dsDNA quantification kit (Invitrogen, UK).  The quality thresholds were as follows: an  OD260/OD280 ratio of between 1.8 and 2.0 and a OD260/OD230 ratio greater than 1.5. High-throughput SNP genotyping of 323 genotypes was performed using the TaNG v1.1 Affymetrix Axiom genotyping array (Thermo Fisher Scientific, UK) at the University of Bristol Genomics facility, University of Bristol, UK. Genotype calling was performed using the Best Practices Workflow in the Axiom Analysis Suite (AxAS) following the default SNP quality control thresholds where DCQ (dish quality control) ≥ 0.82 and CR (call rate) cut-off ≥ 97%. Markers were then classified and filtered based on the Axiom recommended criteria. Subsequently, markers that were monomorphic, had a minor allele frequency (MAF) of <5%, a missing call rate of >20%, or a heterozygote frequency >25% were removed. After filtering, a total of 6,315 best recommended and high-quality markers were retained and were used to generate the HapMap-formatted data.","locations":["POLYGON((-0.382 51.804, -0.382 51.815, -0.359 51.815, -0.359 51.804, -0.382 51.804))"],"metadataDate":"2026-11-05T13:15:21.000Z","organisation":["University of Agriculture Faisalabad","National Agricultural Research Center Islamabad","UK Centre for Ecology & Hydrology","University of Aberdeen","Rothamsted Research","John Innes Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/291ca8d7-6178-4e6f-98a5-f59225d884cd","10.5285/291ca8d7-6178-4e6f-98a5-f59225d884cd","doi:10.5285/291ca8d7-6178-4e6f-98a5-f59225d884cd"],"resourceType":"Dataset","rightsHolder":["University of Agriculture Faisalabad"],"ror":["https://ror.org/054d77k59","https://ror.org/00pggkr55","https://ror.org/016476m91","https://ror.org/0347fy350","https://ror.org/055zmrh94","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains single nucleotide polymorphism (SNP) genotyping data for 323 diverse wheat accessions from Pakistan, Mexico, and Australia. 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The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"2ab0b6d8-6558-46cf-9cf0-1e46b3587f13","incomingCitationCount":5,"keyword":["Great Britain","England","Scotland","Wales","Land cover"],"keywordsOther":["Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap 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. Version 1.2 includes the addition of OS tile HZ. See online documentation for further details. 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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":"2026-11-05T14:39:12.000Z","orcid":["0000-0002-1223-8345","0000-0002-8972-953X","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","temporalExtentText":"Data collected from 2017 to 2021","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":["Corporación COL-TREE","University of Exeter","University of Rwanda","University of Gothenburg"],"authorFamilyName":["Restrepo Correa","Tylor","Niyigena","Johansson","Wallin","Nsabimana","Uddling","Mercado"],"authorFullName":["Restrepo Correa, Z.","Tylor, T.","Niyigena, E.","Johansson, K.S.L.","Wallin, G.","Nsabimana, D.","Uddling, J.","Mercado, L.M."],"authorGivenName":["Zorayda","Tyeen","Esther","Karin S.L.","Göran","Donat","Johan","Lina M"],"authorOrcid":["0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-3854-3265","0000-0002-5359-1102","0000-0003-4893-1915","0000-0003-4069-0838"],"authorRor":["https://ror.org/00286hs46","https://ror.org/01tm6cn81","https://ror.org/03yghzc09"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset compiles leaf-level functional traits collected at a tropical elevational gradient in the Albertine Rift in Rwanda at two experimental sites across two common garden plantations with contrasting mean annual temperatures (15.2°C and 20.0°C). Sampling included species from eight native tropical Afromontane and transitional rainforest.\nThe dataset includes leaf structural traits (leaf area, thickness, and leaf mass per area (LMA)), leaf optical properties (reflectance, transmittance, and absorptance) and leaf angle measurements (pitch, roll, azimuth, and vertical angle).\nMeasurement campaigns were conducted between January and February 2025.\nTogether, these data provide a comprehensive characterization of leaf functional and thermoregulation traits across contrasting tropical montane environments, supporting research on plant ecophysiology, climate adaptation, and ecosystem responses to environmental stress.","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo Correa","Tylor","Niyigena","Johansson","Wallin","Nsabimana","Uddling","Mercado"],"fullName":["Restrepo Correa, Z.","Tylor, T.","Niyigena, E.","Johansson, K.S.L.","Wallin, G.","Nsabimana, D.","Uddling, J.","Mercado, L.M.","Zorayda Restrepo Correa"],"funder":["Natural Environment Research Council"],"givenName":["Zorayda","Tyeen","Esther","Karin S.L.","Göran","Donat","Johan","Lina M"],"grant":["NE/X001172/1"],"identifier":"37c4c87a-de90-4b35-96d8-32e077c5dab2","incomingCitationCount":0,"keyword":["Climate and climate change","Biodiversity","tropical forest","elevational gradient","plant ecology","leaf traits","thermoregulation","common garden","Central Africa","heat stress"],"keywordsOther":["tropical forest","elevational gradient","plant ecology","leaf traits","thermoregulation","common garden","Central Africa","heat stress"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"The experiments were designed as common garden plantations with a focus on native tree species from early and late successional stages from Afromontane and transitional rainforests in the Albertine rift in Rwanda. Experimental sites were established during December 2017 and January 2018 spanning high and mid elevations and include a 15.2 °C MAT site (elevation = 2400 m a.s.l., T 99%tile = 23.1 °C; annual precipitation = 2100mm, latitude= 2.515S, longitude= 29.395556E) and 20 °C MAT site (elevation = 1600 m a.s.l., T99%tile = 28.5 °C; annual precipitation = 1700 mm, latitude= 2.475S, longitude= 29.780277E) and a third experimental site at lower elevation not used in this data set. At each experimental site, 1800 trees were planted across 18 plots (6 treatments, 3 replicates per treatment) with 100 trees from 20 different native tropical montane or highland tree species planted, with five replicates per species per plot. Treatments include three water levels (low, mid, high) in factorial combinations with two nutrient levels (unfertilized, fertilized + limed). The water levels mimic the natural precipitation regime at the three experimental sites, and the fertilization treatments compensate for differences in fertility across sites. Unfertilized trees were planted on the native soils found at each experimental location. Further information about each experimental site can be found at https://www.rwandatree.com/\nAt each experimental site, we collected leaves from eight species from six treatment plots corresponding to the natural precipitation levels of both experimental sites without nutrient fertilization; and leaf samples from 144 juvenile trees for structural and optical leaf traits were collected, and leaf angles were measured from 48 trees.\nData were obtained through field sampling of individual trees, followed by standardized laboratory and field measurements. Leaf structural traits were measured using morphological and physical methods, leaf optical properties were measured using a miniature leaf spectrometer (CI-710, CID Bio-Science), and leaf angle was measured using a smartphone-based application (protractor and compass tools).\nThe dataset includes detailed metadata describing variables, units, sampling locations, methods, and quality control procedures. Details of sampling locations and protocols, data processing steps, and dataset-specific methodological information are provided in the supporting documentation.","locations":["POLYGON((29.353 -1.937, 29.353 -1.627, 29.586 -1.627, 29.586 -1.937, 29.353 -1.937))"],"metadataDate":"2026-11-05T13:14:59.000Z","orcid":["0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-3854-3265","0000-0002-5359-1102","0000-0003-4893-1915","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","University of Rwanda","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37c4c87a-de90-4b35-96d8-32e077c5dab2","10.5285/37c4c87a-de90-4b35-96d8-32e077c5dab2","doi:10.5285/37c4c87a-de90-4b35-96d8-32e077c5dab2"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/00286hs46","https://ror.org/01tm6cn81","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset compiles leaf-level functional traits collected at a tropical elevational gradient in the Albertine Rift in Rwanda at two experimental sites across two common garden plantations with contrasting mean annual temperatures (15.2°C and 20.0°C). Sampling included…","state":"published","temporalExtentText":"Data collected from 2025 to 2925","title":"Thermoregulation traits of montane tree species in common garden plantations at two elevations in the Albertine Rift in Rwanda, 2025","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation","University of North Texas","University of Aberdeen","Eco2librium Company Ltd","Wildlife Research & Training Institute","Unaffiliated","Kenya Forest Service"],"authorFamilyName":["Bullock","Beier","Broughton","Gregory","Spence","Burkett","Travis","Amutabi","Analo","Atai","Espira","Kipleting","Juma","Lukaria","Makalasia","Malema","Wendot"],"authorFullName":["Bullock, J.M.","Beier, P.","Broughton, R.K.","Gregory, A.J.","Spence, E.S.","Burkett, C.","Travis, J.M.J.","Amutabi, C.","Analo, C.","Atai, E.","Espira, A.","Kipleting, D.","Juma, C.","Lukaria, L.","Makalasia, C.","Malema, H.","Wendot, G."],"authorGivenName":["J.M.","P.","R.K."," A.J.","E.S.","C.","J.M.J.","E.","A.","D.","L.","H.","G."],"authorOrcid":["0000-0003-0529-4020","0000-0002-4297-4343","0000-0002-6838-9628","0000-0003-1905-3236","0000-0003-1595-0167","0000-0002-5785-4272"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02bv7qz69","https://ror.org/00v97ad02","https://ror.org/016476m91","https://ror.org/0526r9902"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Kenya between 2021 and 2022. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement.","documentType":"GEMINI_DOCUMENT","familyName":["Bullock","Beier","Broughton","Gregory","Spence","Burkett","Travis","Amutabi","Analo","Atai","Espira","Kipleting","Juma","Lukaria","Makalasia","Malema","Wendot"],"fullName":["Bullock, J.M.","Beier, P.","Broughton, R.K.","Gregory, A.J.","Spence, E.S.","Burkett, C.","Travis, J.M.J.","Amutabi, C.","Analo, C.","Atai, E.","Espira, A.","Kipleting, D.","Juma, C.","Lukaria, L.","Makalasia, C.","Malema, H.","Wendot, G."],"funder":["Natural Environment Research Council","U.S. National Science Foundation (NSF)"],"givenName":["J.M.","P.","R.K."," A.J.","E.S.","C.","J.M.J.","E.","A.","D.","L.","H.","G."],"grant":["NE/T006935/1"],"identifier":"de1d9de7-c0b9-4e53-b848-334bcf120d2c","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","carnivores","forest","animal corridor","habitat corridors","mustelid","rodent","Sherman traps","woodland ecosystem","woodland"],"keywordsOther":["carnivores","forest","animal corridor","habitat corridors","mustelid","rodent","Sherman traps","woodland ecosystem","woodland"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"Animals were captured during standardized trapping surveys with Sherman traps, and Tomahawk traps in systematic arrays. Trapping targeted small-medium sized rodents, carnivores and opossums. Captured animals were identified to species, marked individually, biometrics were recorded (ear size, hind foot and tail length), and tissue samples were collected, generally from the ear. The animals were then released alive. Trap and capture data are linked via a primary key field.\nAt each trap check, data from captured animals were recorded in the field on data sheets, and then later computerized by entering into spreadsheets. Data were checked against original field records for quality assurance and validation.\n","locations":["POLYGON((33.559 -4.912, 33.559 5.269, 42.084 5.269, 42.084 -4.912, 33.559 -4.912))"],"metadataDate":"2026-11-05T13:44:47.000Z","orcid":["0000-0003-0529-4020","0000-0002-4297-4343","0000-0002-6838-9628","0000-0003-1905-3236","0000-0003-1595-0167","0000-0002-5785-4272"],"organisation":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation","University of North Texas","University of Aberdeen","Eco2librium Company Ltd","Wildlife Research & Training Institute","Unaffiliated","Kenya Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de1d9de7-c0b9-4e53-b848-334bcf120d2c","10.5285/de1d9de7-c0b9-4e53-b848-334bcf120d2c","doi:10.5285/de1d9de7-c0b9-4e53-b848-334bcf120d2c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation"],"ror":["https://ror.org/00pggkr55","https://ror.org/02bv7qz69","https://ror.org/00v97ad02","https://ror.org/016476m91","https://ror.org/0526r9902","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Kenya between 2021 and 2022. The trapping data include dates of setting, checking and removal at…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"Monitoring data from small mammal trapping in forest habitats in Kenya, 2021-2022","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Exeter","University of Melbourne"],"authorFamilyName":["Littleton","Dooley","Webb","Harper","Powell","Nicholls","Meinshausen","Lenton"],"authorFullName":["Littleton, E.","Dooley, K.","Webb, G.","Harper, A.B.","Powell, T.","Nicholls, Z.","Meinshausen, M.","Lenton, T.M."],"authorGivenName":["E.","K.","G.","A.B.","T.","Z.","M.","T.M."],"authorOrcid":["0000-0001-5576-5498","0000-0001-5636-6691","0000-0001-7294-6039","0000-0002-5240-0351","0000-0002-4767-2723","0000-0003-4048-3521","0000-0002-6725-7498"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/01ej9dk98"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage and forest density during the 21st century. \n\nA historical simulation covering 1880-2000 is included, followed by seven future simulations for the main simulation period of 2001-2100. This is followed by an extended run for 50 further years based on 2090s climate.\n\nDriven by Representative Concentration Pathway (RCP2.6) climatology at N96 resolution (1.25 deg latitude, 1.875 deg longitude).","documentType":"GEMINI_DOCUMENT","familyName":["Littleton","Dooley","Webb","Harper","Powell","Nicholls","Meinshausen","Lenton"],"fullName":["Littleton, E.","Dooley, K.","Webb, G.","Harper, A.B.","Powell, T.","Nicholls, Z.","Meinshausen, M.","Lenton, T.M."],"funder":["Natural Environment Research Council"],"givenName":["E.","K.","G.","A.B.","T.","Z.","M.","T.M."],"grant":["NE/P019951/1"],"identifier":"6683abd8-1368-495c-9eb3-726c6c559e7e","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","ecosystem restoration","land based mitigation","natural climate solutions","dynamic global vegetation modelling","agroforestry","reforestation","forest management","restoration","nature-based solution","modelling","soil"],"keywordsOther":["ecosystem restoration","land based mitigation","natural climate solutions","dynamic global vegetation modelling","agroforestry","reforestation","forest management","restoration","nature-based solution","modelling","soil"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"The data are model output produced for the purpose of quantifying carbon sequestration potential of reforestation, forest restoration and agroforestry. Output by the JULES model, raw netCDF output, driven with climate from RCP2.6.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-11-05T13:40:03.000Z","orcid":["0000-0001-5576-5498","0000-0001-5636-6691","0000-0001-7294-6039","0000-0002-5240-0351","0000-0002-4767-2723","0000-0003-4048-3521","0000-0002-6725-7498"],"organisation":["University of Exeter","University of Melbourne","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6683abd8-1368-495c-9eb3-726c6c559e7e","10.5285/6683abd8-1368-495c-9eb3-726c6c559e7e","doi:10.5285/6683abd8-1368-495c-9eb3-726c6c559e7e"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/01ej9dk98","https://ror.org/04xw4m193"],"shortenedDescription":"The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Vegetation cover, vegetation carbon content and soil carbon content under five ecosystem restoration pathways for the 21st century modelled using JULES","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Flor","Osorio-Baquero","Aguirre-Sanchez","Charnley","Galloway"],"authorFullName":["Flor, D.","Osorio-Baquero, A.","Aguirre-Sanchez, A.","Charnley, F.","Galloway, T."],"authorGivenName":["Daniela","Andrea","Angelica","Fiona","Tamara"],"authorOrcid":["0009-0005-3458-9276"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents information on waste characterized from the recycling flow on Santa Cruz island, Galápagos. Characterization was conducted between 19 and 25 November 2024. The process included recyclable waste classification, counting, weighing and polymer identification.  The dataset contains the category and subcategory assigned to each item, the identified polymer type and additional comments, including brand information when available. The data were collected to explore alternatives for reducing inland plastic waste through a circular economy approach. This work is part of a NERC funded project (NE/V005448/1), that aims to reduce plastic in the Galápagos Islands and the Eastern Pacific.","documentType":"GEMINI_DOCUMENT","familyName":["Flor","Osorio-Baquero","Aguirre-Sanchez","Charnley","Galloway"],"fullName":["Flor, D.","Osorio-Baquero, A.","Aguirre-Sanchez, A.","Charnley, F.","Galloway, T.","Daniela Flor"],"funder":["Natural Environment Research Council"],"givenName":["Daniela","Andrea","Angelica","Fiona","Tamara"],"grant":["NE/V005448/1"],"identifier":"b6076854-c526-44b2-9e5a-4fa4f8df4b21","incomingCitationCount":0,"keyword":["Environmental survey","waste","recycling","plastic","characterization"],"keywordsOther":["waste","recycling","plastic","characterization"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Waste characterization was performed at the municipal recycling centre. To characterize the recyclable waste, 2 bags per route were randomly selected by the municipality staff, resulting in a total of 8 bags per sampling event. The 8 bags were weighed and then emptied onto a tarpaulin. The material was thoroughly mixed and divided in four quadrants, three quadrants were discarded and the remaining quadrant was characterised. Characterization involved sorting the material into predefined categories, counting individual items and weighing each category.  Plastics were separated and the polymer type identified using a portable plastic identification device (PlasTell NIR plastics scanner, desktop version, Matoha Instrumentation Ltd.) equipped with a transmittance-reflectance NIR spectroscopy, 1550-1950 nm - 2NIR lamps built-in. Data were initially recorded in field notebooks and subsequently digitized into an Excel database, where they were reviewed and standardized.","locations":["POLYGON((-90.58 -0.803, -90.58 -0.396, -90.141 -0.396, -90.141 -0.803, -90.58 -0.803))"],"metadataDate":"2026-11-05T13:36:30.000Z","orcid":["0009-0005-3458-9276"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b6076854-c526-44b2-9e5a-4fa4f8df4b21","10.5285/b6076854-c526-44b2-9e5a-4fa4f8df4b21","doi:10.5285/b6076854-c526-44b2-9e5a-4fa4f8df4b21"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents information on waste characterized from the recycling flow on Santa Cruz island, Galápagos. Characterization was conducted between 19 and 25 November 2024. The process included recyclable waste classification, counting, weighing and polymer identification.…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Characterization data of recyclable waste on Santa Cruz Island, Galápagos, 2024","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shar1"]},{"altTitle":["Effects of scale in organic agriculture - ecology data, 2006-2010"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel","Comma-separated values (CSV)"],"description":"This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type (arable cereal vs. permanent pasture), (iii) farm management (organic vs. conventional) and (iv) landscape-scale management (landscapes that contained low or high fractions of organic land) on a wide range of taxa. Studied taxa include birds, insect pollinators (hoverflies, bumblebees and solitary bees), epigeal arthropods, aphids and their natural enemies, earthworms and plants. The study is part of the NERC Rural Economy and Land Use (RELU) programme. A move to organic farming can have significant effects on wildlife, soil and water quality, as well as changing the ways in which food is supplied, the economics of farm business and indeed the attitudes of farmers themselves. Two key questions were addressed in the SCALE project: what causes organic farms to be arranged in clusters at local, regional and national scales, rather than be spread more evenly throughout the landscape; and how do the ecological, hydrological, socio-economic and cultural impacts of organic farming vary due to neighbourhood effects at a variety of scales. The research was undertaken in 2006-2007 in two study sites: one in the English Midlands, and one in southern England. Both are sites in which organic farming has a 'strong' local presence, which we defined as 10 per cent or more organically managed land within a 10 km radius. Potential organic farms were identified through membership lists of organic farmers provided by two certification bodies (the Soil Association and the Organic Farmers and Growers). Most who were currently farming (i.e. their listing was not out of date) agreed to participate. Conventional farms were identified through telephone listings. Respondents' farms ranged in size from 40 to 3000 acres, with the majority farming between 100 and 1000 acres. Most were mixed crop-livestock farmers, with dairy most common in the southern site, and beef and/or sheep mixed with arable in the Midlands. In total, 48 farms were studied, of which 21 were organic farmers. No respondent had converted from organic to conventional production, whereas 17 had converted from conventional to organic farming. Twelve of the conventional farmers defined themselves as practicing low input agriculture. Farmer interview data from this study are available at the UK Data Archive under study number 6761.  Soil data from agricultural land under differing crop and management regimes,are also available.  Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Gabriel","Benton","Kunin","Stagl","Sait","Van Den Eynden"],"fullName":["Gabriel, D.","Benton, T.","Kunin, B.","Stagl, S.","Sait, S.","Van Den Eynden, V."],"funder":["Economic and Social Research Council"],"givenName":["Doreen","Tim","Bill","Sigrid","Steve","Veerle"],"identifier":"010bcde5-e4f3-4b48-a2f4-53cdc9083c02","incomingCitationCount":0,"keyword":["farmland birds","pollinators","hoverflies","bumblebees","solitary wild bees","epigeal arthropods","aphids","natuaral enemies","earthworms","farmland plants","2006-2010","Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme","insect"],"keywordsOther":["insect"],"keywordsTheme":["farmland birds","pollinators","hoverflies","bumblebees","solitary wild bees","epigeal arthropods","aphids","natuaral enemies","earthworms","farmland plants","2006-2010","Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme"],"licence":"Non-Open government licence","lineage":"Botanical inventory and soil analyses on 42 selected case study farms with biodiverse grassland types: 12 lamb farms, 15 beef farms, 12 cheese farms, 3 control farms. Three grassland communities (mesotrophic, acid and calcareous) were so selected, represented by saltmarsh, moorland and heather for sheep farming; acid, calcareous and wet-neutral grasslands for beef farming; and circumneutral for on-farm cheese production. These were located using existing vegetation maps and surveys. For the botanical survey plant species were identified and their frequency recorded, as well as site and vegetation description, soil profile, soil depth, slope, aspect, stand area, sample area, mean height of layers of vegetation, altitude and geology. The data recorded on species cover and the calculated frequency class was then used to assign the assessed stand of vegetation to a published community or sub-community. For soil analyses 100 g soil samples were taken for each site to determine: ? sodium, potassium, calcium and magnesium in soil by ICP-AES ? phosphate-phosphorus in soil by colorimetry ? pH in soil and water. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0006","locations":["POLYGON((-2.99 50.57, -2.99 53.85, 0.14 53.85, 0.14 50.57, -2.99 50.57))"],"metadataDate":"2026-07-24T18:50:50.000Z","organisation":["University of Leeds","University of Sussex","UK Data Archive","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1310549740505","CEH:EIDC::1310549740505","https://catalogue.ceh.ac.uk/id/010bcde5-e4f3-4b48-a2f4-53cdc9083c02"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/00ayhx656","https://ror.org/03fknw408","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type…","state":"published","supplementalDescription":["Gabriel, D., Sait, S.M., Hodgson, J.A., Schmutz, U., Kunin, W.E. and Benton, T.G. 2010. Scale matters: the impact of organic farming on biodiversity at different spatial scales. Ecology Letters 13: 858-869."],"supplementalName":["RELU Knowledge Portal project page","ESDS catalogue record"],"temporalExtentText":"Data collected from 2007 to 2008","title":"Flora and fauna data from agricultural land under differing crop and management regimes, 2006-2010 - RELU Effects of scale in organic agriculture","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Bell","Davies","Kay"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"authorGivenName":["P.","V.A.","H.N.","A.L."],"authorOrcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or \"HMF-WA\" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Kay"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"funder":["Natural Environment Research Council"],"givenName":["P.","V.A.","H.N.","A.L.","Ponnambalam"],"grant":["NE/M020428/1"],"identifier":"6429828f-6a06-4d2d-8f50-4910b18f7ff4","incomingCitationCount":1,"keyword":["West Africa","Climate and climate change","Hydrology","Modelling","African Monsoon Multidisciplinary Analysis AMMA"],"keywordsOther":["African Monsoon Multidisciplinary Analysis AMMA"],"keywordsPlace":["West Africa"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP5 daily precipitation and potential evaporation derived from bias-corrected CMIP5 daily temperature data (near-surface air temperature and daily maximum and minimum surface air temperature). See Supporting Information for more details.","locations":["POLYGON((-18 3, -18 26, 25 26, 25 3, -18 3))"],"metadataDate":"2026-07-25T06:44:26.000Z","orcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6429828f-6a06-4d2d-8f50-4910b18f7ff4","10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4","doi:10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099)…","state":"published","supplementalDescription":["The AMMA-2050 project was a United Kingdom’s Natural Environment Research Council (NERC)/Department for International Development (DFID) Future Climate for Africa (FCFA) initiative to address the challenges of understanding how the monsoon will change in future decades, and how this information can be most effectively used to support climate-compatible development in the region.","RAMESHWARAN, P., BELL, V. A., DAVIES, H. N. & KAY, A. L. submitted. How might climate change affect river flows across West Africa? Climatic Change."],"supplementalName":["AMMA-2050 project"],"temporalExtentText":"Data collected from 1950 to 2099","title":"Historical (1950-2005) and projected (2006-2099) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP5 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"Using the laboratory model system comprised of the Indian Meal moth, Plodia interpunctella (Pyralidae; Hübner) and its natural enemy, the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst), we experimentally investigated how resource degradation and short-term (daily) coloured temperature fluctuations affect life-history variation and population dynamics in a trophic interaction.","documentType":"GEMINI_DOCUMENT","familyName":["Sait"],"fullName":["Sait, S."],"givenName":["Steven"],"identifier":"6bb00851-5104-4ff7-b01c-f3cb3e925b5f","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T06:47:51.000Z","organisation":["University of Leeds"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6bb00851-5104-4ff7-b01c-f3cb3e925b5f"],"resourceType":"Aggregation","ror":["https://ror.org/024mrxd33"],"shortenedDescription":"Using the laboratory model system comprised of the Indian Meal moth, Plodia interpunctella (Pyralidae; Hübner) and its natural enemy, the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst), we experimentally investigated how resource degradation and short-term…","state":"published","title":"How does resource degradation and coloured temperature variation alter population dynamics in a host-parasitoid trophic interaction.","version":1.0,"view":["public","clwe"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel"],"description":"This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland during the NERC Rural Economy and Land Use (RELU) programme. This data collection includes the results from four interlinked projects combining quantitative and qualitative evidence to assess long-term ecological data at local to national levels: Project 1 synthesises existing information on historical environmental changes in the uplands with relevance to current management and policy Project 2 used high resolution palaeoenvironmental analyses to reconstruct ecological changes and land-use histories of four contrasting moorland systems in the Peak District (England) over the last c.200-1300 yrs. Sites were selected in consultation with stakeholders and the results provide the basis for comparison with ecological survey results and knowledge of current managers. Project 3 used similar methods to reconstruct ecological and land-use changes in NW Sutherland (Scotland) over the last c.400 yrs. Site selection was based on discussion with stakeholders and results were compared with stakeholder knowledge and preferences for landscape change. Project 4 used three choice experiments to assess the response of different communities to long-term evidence as a potential source of information to inform preferences for upland management. Project 4a used a choice experiment to assess the influence of long-term evidence on management preferences of residents of the Peak District. Project 4b used choice experiments to present long-term evidence to ecologists from government, NGO, research and practitioner communities in conjunction with established sources of ecological evidence used in upland management (ecological monitoring and ecological research) and with stakeholder preferences for upland management, since this is increasingly becoming embedded in decision-making. The upland woods and peatlands were used as the contexts for two choice experiments. This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland, as part of projects 2 and 3 as listed above. The choice experiment data from this study are available at the UK Data Archive under study number 6791 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Davies"],"fullName":["Davies, A."],"funder":["Economic and Social Research Council"],"givenName":["Althea"],"identifier":"fca22a48-0f2c-4557-bb38-0fbaf4237a02","incomingCitationCount":0,"keyword":["Rural Economy and Land Use Programme","Foundations for the Future: Learning from the Past","PEAK DISTRICT","SUTHERLAND (COUNTY)"," CONSERVATION OF NATURE","HEATHLANDS","ecology","ecosystem services","environmental conservation","degradation of the environment","PALAEOECOLOGY ","MOORLANDS","PEAT BOGS ","STAKEHOLDERS","sustainable development"],"keywordsOther":["Rural Economy and Land Use Programme","Foundations for the Future: Learning from the Past","PEAK DISTRICT","SUTHERLAND (COUNTY)"," CONSERVATION OF NATURE","HEATHLANDS","ecology","ecosystem services","environmental conservation","degradation of the environment","PALAEOECOLOGY ","MOORLANDS","PEAT BOGS ","STAKEHOLDERS","sustainable development"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-229-27-0003 ","locations":["POLYGON((-5.154 53.386, -5.154 58.17, -1.706 58.17, -1.706 53.386, -5.154 53.386))"],"metadataDate":"2026-07-25T18:11:01.000Z","organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-02-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1320338726697","CEH:EIDC::1320338726697","https://catalogue.ceh.ac.uk/id/fca22a48-0f2c-4557-bb38-0fbaf4237a02"],"resourceType":"Dataset","ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of palaeoecological measurements taken at sites in the Peak District and NW Sutherland during the NERC Rural Economy and Land Use (RELU) programme. This data collection includes the results from four interlinked projects combining quantitative…","state":"published","supplementalDescription":["UKDA hosted RELU Knowledge Portal"],"supplementalName":["RELU Knowledge Portal"],"temporalExtentText":"Data collected from 2008 to 2008","title":"Palaeoecological measurements from the Peak District and north west Sutherland 2007-2010 - RELU Foundations for the future: learning from the past","version":1.0,"view":["public","rstu"]},{"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":"2026-11-05T13:37:13.000Z","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"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all scheme data upto the year of publication.\n\nDatasets currently available for download include: annual site level indices of abundance, UK and country-level collated indices of abundance, and UK trends in abundance for all commonly occurring UK butterfly species on monitored sites across the UK since 1976, as well as annually updated site location data for all UKBMS sites. Access to other data should be requested directly via the UKBMS website - https://www.ukbms.org/\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation, the UK Centre for Ecology & Hydrology, British Trust for Ornithology, and the Joint Nature Conservation Committee. The UKBMS is indebted to all volunteers who contribute data to the scheme.","documentType":"GEMINI_DOCUMENT","familyName":["Botham"],"fullName":["Botham, M."],"givenName":["Marc"],"identifier":"a0578bd5-a762-4982-9567-dd8fdcbaa14d","incomingCitationCount":0,"keyword":["Biodiversity","Lepidoptera","butterflies"],"keywordsOther":["Lepidoptera","butterflies"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:16:01.000Z","organisation":["UK Centre for Ecology & Hydrology"],"publicationDate":"2020-07-27T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a0578bd5-a762-4982-9567-dd8fdcbaa14d"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This is a series of datasets available from the UK Butterfly Monitoring Scheme (UKBMS). The UKBMS comprises a suite of standardised surveys carried out annually across the UK that generate data on butterfly abundance. The datasets within this collection include all…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"United Kingdom Butterfly Monitoring Scheme (UKBMS) 1976-2017 data","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"Data from the terrestrial component of a larger survey to assess the natural environment of the Shetland Isles, to enable the local council to assess the environmental impact of oil exploration related developments in the area, and to form basis for monitoring change. The survey was undertaken in 1974 by the Institute of Terrestrial Ecology. The series contains data collected in the field including soils, vegetation and habitats information; and also the Land Classification used for the sampling framework. ","documentType":"GEMINI_DOCUMENT","identifier":"da4ae063-1238-4310-9d87-ad4589f569b4","incomingCitationCount":0,"keyword":["Shetland","plants","habitats","soil","lichens","bryophytes","Survey","terrestrial ecology"],"keywordsOther":["Survey","terrestrial ecology"],"keywordsPlace":["Shetland"],"keywordsTheme":["plants","habitats","soil","lichens","bryophytes"],"licence":"Open government licence","lineage":"Data from a survey of Shetland undertaken in 1974 by the Institute of Terrestrial Ecology, and managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.14 59.69, -2.14 61.02, -0.14 61.02, -0.14 59.69, -2.14 59.69))"],"metadataDate":"2026-07-25T14:22:39.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-10-07T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1389694325999","CEH:EIDC::1389694325999","https://catalogue.ceh.ac.uk/id/da4ae063-1238-4310-9d87-ad4589f569b4"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data from the terrestrial component of a larger survey to assess the natural environment of the Shetland Isles, to enable the local council to assess the environmental impact of oil exploration related developments in the area, and to form basis for monitoring change.…","state":"published","temporalExtentText":"Data collected from 1974 to 1974","title":"Terrestrial survey of the ecology of Shetland 1974 ","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Beith","Clarke","De Ville","Dodd","Fletcher","Hunt","James","Mackay","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Beith, S.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Hunt, A.G.","James, J.B.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","S. ","M.A.","M.M.","B.A.","J.","A.G.","J.B.","E.B.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England. Monitoring began in 1945 for some variables. The data comprise surface temperature, surface oxygen saturation, Secchi depth, alkalinity, pH, ammonium, nitrate, soluble reactive phosphate, total phosphorus, dissolved reactive silicon and phytoplankton chlorophyll a.\n\nWater samples are based on a sample integrated from 0 to 7 m. Measurements are made from a boat at a marked location at the deepest part of the lake.\n\nAll data are from January 2014 until the end of 2018 and were collected by the UK Centre for Ecology & Hydrology (UKCEH).\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":["Feuchtmayr","Beith","Clarke","De Ville","Dodd","Fletcher","Hunt","James","Mackay","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Beith, S.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Hunt, A.G.","James, J.B.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","S. ","M.A.","M.M.","B.A.","J.","A.G.","J.B.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"bee7003f-90d8-412b-90b0-0c06dec9c1b6","incomingCitationCount":0,"keyword":["Lake District","Lake Windermere","UK-SCAPE","Environmental survey","Water quality"],"keywordsPlace":["Lake District","Lake Windermere"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from January 2014 until the end of 2018. Samples were analysed in UKCEH laboratories.","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-11-05T13:28:57.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bee7003f-90d8-412b-90b0-0c06dec9c1b6","10.5285/bee7003f-90d8-412b-90b0-0c06dec9c1b6","doi:10.5285/bee7003f-90d8-412b-90b0-0c06dec9c1b6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England. Monitoring began in 1945 for…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, 2014 to 2018","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Netherlands institute of Ecology","British Antarctic Survey"],"authorFamilyName":["McGowan","Burson"],"authorFullName":["McGowan, S.","Burson, A."],"authorGivenName":["S.","A."],"authorOrcid":["0000-0003-4034-7140"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are derived from a dust leaching experiment, an in-lake mesocosm experiment and from sediment cores obtained from lakes in the Kangerlussuaq area of West Greenland. The dust leaching experiment was set up in 2017 and the data show which elements and ions were leached from dust into different types of waters. The in-lake mesocosm experiment applied dust over a two week period in July 2018 resulting in chemical and algal pigment data. Data on chlorophyll and carotenoid pigments are presented from sediment cores sampled from six lakes 2017 and sectioned into 0.5-1cm intervals.\n","documentType":"GEMINI_DOCUMENT","familyName":["McGowan","Burson"],"fullName":["McGowan, S.","Burson, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","A."],"identifier":"9115bc7a-adb6-4a3c-8506-32d0b39bcf6f","incomingCitationCount":0,"keyword":["Greenland","Arctic","atmospheric deposition","aeolian","lakes"],"keywordsOther":["Greenland","Arctic","atmospheric deposition","aeolian","lakes"],"licence":"Open government licence","lineage":"The dataset contains results from experiments and sediment core analyses from Kangerlussuaq in West Greenland. \nA leaching experiment where dust was added to different types of water to compare with a control where no dust was added. The leaching experiment was conducted in Greenland and the chemical composition of the leachates from the treatments was sampled at various time intervals and analysed by ICP-MS at the British Geological Survey laboratories. \nA second field experiment was conducted in three lakes in Greenland, applying dust to mesocosm enclosures to compare against a control with no dust. Water chemistry was measured at the start and end of the experiment in the field or in the laboratory at Kangerlussuaq International Science Support. Algae from the water and lake bottom was also measured at the University of Nottingham using HPLC pigment analysis. \nSediment cores were sampled from six lakes in Greenland in 2017, and sections downcore were analysed for chlorophyll and carotenoid pigments using HPLC at the University of Nottingham.","locations":["POLYGON((-50.733 66.999, -50.733 67.026, -50.632 67.026, -50.632 66.999, -50.733 66.999))"],"metadataDate":"2026-11-05T13:39:20.000Z","orcid":["0000-0003-4034-7140"],"organisation":["Netherlands institute of Ecology","British Antarctic Survey","NERC EDS Environmental Information Data Centre","University of Nottingham"],"publicationDate":"2022-08-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9115bc7a-adb6-4a3c-8506-32d0b39bcf6f","10.5285/9115bc7a-adb6-4a3c-8506-32d0b39bcf6f","doi:10.5285/9115bc7a-adb6-4a3c-8506-32d0b39bcf6f"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193","https://ror.org/01ee9ar58"],"shortenedDescription":"These data are derived from a dust leaching experiment, an in-lake mesocosm experiment and from sediment cores obtained from lakes in the Kangerlussuaq area of West Greenland. The dust leaching experiment was set up in 2017 and the data show which elements and ions…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Water chemistry and algal pigments from dust leaching and dust addition experiments and from lake sediment cores in Kangerlussuaq, West Greenland, 2017-2018","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Rowland","O'Neil","Morton"],"authorFullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"authorGivenName":["C.","C.S.","A.W.","R.D."],"authorOrcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is a vector data set representing the land surface of Great Britain, 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 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 LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil","Morton"],"fullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.S.","A.W.","R.D.","Chris"],"grant":["NE/R016429/1"],"identifier":"398dd41e-3c08-47f5-811f-da990007643f","incomingCitationCount":7,"keyword":["Land cover","Mapping","Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsOther":["Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsTheme":["Land cover","Mapping"],"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 2018 to 2020. 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 LCM2021 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 accompanying this dataset.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T13:14:21.000Z","orcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/398dd41e-3c08-47f5-811f-da990007643f","10.5285/398dd41e-3c08-47f5-811f-da990007643f","doi:10.5285/398dd41e-3c08-47f5-811f-da990007643f"],"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 Great Britain, 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 datasets…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Land Cover Map 2021 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}