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Depth-specific soil core samples were dated using radiocarbon. Soil cores were sampled during early summer in 2013 and 2014. Each year soil cores were sampled…","state":"published","title":"Soil dates using radiocarbon in profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Vieno","Scheffler"],"authorFullName":["Vieno, M.","Scheffler, J."],"authorGivenName":["M.","J."],"authorOrcid":["https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). 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The new set of model runs covers an extended time period from 2002 until 2021 and is available in a higher resolution (3 km2 x 3km2).","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Vieno"],"fullName":["Scheffler, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["Janice","M.","J."],"grant":["NE/R016429/1"],"identifier":"b0545f67-e47c-4077-bf3c-c5ffcd6b72c8","incomingCitationCount":0,"keyword":["NOx","NO2","nitric acid","HNO3","NH3","coarse nitrate particulate","fine nitrate particulate","O3","SO2","sulphate particulate","PM2.5","VOC","PM10","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","aerosol","dust","volatile organic compound","sulphate","atmospheric particulate","sulphur dioxide","pollutant deposition","ozone","nitrate","nitrogen dioxide","ammonia","nitrogen oxides","UK-SCAPE"],"keywordsOther":["NOx","NO2","nitric acid","HNO3","NH3","coarse nitrate particulate","fine nitrate particulate","O3","SO2","sulphate particulate","PM2.5","VOC","PM10","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","aerosol","dust","volatile organic compound","sulphate","atmospheric particulate","sulphur dioxide","pollutant deposition","ozone","nitrate","nitrogen dioxide","ammonia","nitrogen oxides","UK-SCAPE"],"licence":"Open government licence","lineage":"The EMEP4UK atmospheric chemistry transport model calculated daily average concentrations and daily total for depositions for a model domain covering the UK with a resolution of about 5x6 km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.7.0rc8 was used to subset the model output.\nYour use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error free or fit for your intended use.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:57.000Z","orcid":["https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0002-7398-4237"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-11-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8","10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8","doi:10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates daily averaged atmospheric composition at approximately…","state":"published","supplementalDescription":["National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory."],"supplementalName":["EMEP4UK website","Weather Research and Forecasting Model version 3.7.1 (WRF)","2015 National Atmospheric Emission Inventory estimate (NAEI)","EMEP emissions center"],"title":"European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition and fluxes for 2001-2015","version":1.0,"view":["public","crimar"]},{"availability":"Available","catalogue":"eidc","description":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"b68a92f8-e91d-40d2-aed9-6b21295cb094","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-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":"2026-07-01T13:33:46.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b68a92f8-e91d-40d2-aed9-6b21295cb094"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","title":"Land Cover Map 2024 25m web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorGivenName":["A.","W.","K.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","W.","K.","S."],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"metadataDate":"2026-06-29T18:18:34.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf","doi:10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","state":"published","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["American Museum of Natural History","Betty and Gordon Moore Center for Science, Conservation International"],"authorFamilyName":["Horning","Hewson"],"authorFullName":["Horning, N.","Hewson, J."],"authorGivenName":["N.","J."],"authorRor":["https://ror.org/024weye46"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random Forest classifier.","documentType":"GEMINI_DOCUMENT","familyName":["Hewson","Horning"],"fullName":["Hewson, J.","Horning, N."],"givenName":["J.","N."],"identifier":"ce535cef-842e-4875-ad80-26760900cec0","incomingCitationCount":1,"keyword":["Madagascar","Ankeniheny Zahamena forest corridor","Land cover","Land use"],"keywordsPlace":["Madagascar","Ankeniheny Zahamena forest corridor"],"keywordsTheme":["Land cover","Land use"],"licence":"Open government licence","lineage":"The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. \n\nBased on the above criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. \n\nCurrent land use/cover classifications were generated for each ZOI based on very high resolution imagery from SPOT 6. Field data collected by Work Package (WP) 2 and 4--which are impacts on hydrological benefits of alternative Payments for Ecosystem Services (PES) approaches and impacts on carbon storage/sequestration of alternative PES approaches--were used as training data. Supervised classifications were created using Random Forest classifier. ","locations":["POLYGON((48.202 -18.989, 48.202 -17.434, 49.152 -17.434, 49.152 -18.989, 48.202 -18.989))"],"metadataDate":"2026-06-29T17:14:25.000Z","organisation":["Betty and Gordon Moore Center for Science, Conservation International","American Museum of Natural History","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ce535cef-842e-4875-ad80-26760900cec0","10.5285/ce535cef-842e-4875-ad80-26760900cec0","doi:10.5285/ce535cef-842e-4875-ad80-26760900cec0"],"resourceType":"Dataset","ror":["https://ror.org/024weye46","https://ror.org/04xw4m193"],"shortenedDescription":"The products capture current land use/cover for four areas of interest in Corridor Ankeniheny Zahamena (CAZ) generated based on very high resolution imagery (SPOT 6). Field-based training and validation data were used and supervised classifications created using Random…","state":"published","title":"Very high resolution derived land cover/use classifications for the Corridor Ankeniheny-Zahamena (CAZ), Madagascar","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Newcastle University","University of Liverpool","Cardiff University"],"authorFamilyName":["Gray","Hastings","Sheppard","Loughnane","Lloyd","McCarthy","Head"],"authorFullName":["Gray, N.D.","Hastings, R.C.","Sheppard, S.K.","Loughnane, P.","Lloyd, D.","McCarthy, A.J.","Head, I.M."],"authorGivenName":["N.D.","R.C.","S.K.","P.","D.","A.J.","I.M."],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/04xs57h96","https://ror.org/03kk7td41"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data comprises temporal temperature gradient electrophoresis (TTGE) and soil process measurements, used to analyse the effects of perturbations (sludge and/or lime application) on the structure, community development and activity of bacteria that catalyse fundamental processes in upland soils. These were collected to address the following questions: Do soil improvement treatments select for particular components of bacterial populations and hence drive community development? If so, at what functional and phylogenetic level is this selection expressed? Can any changes in community structure be related to changes in the function of the community or is biogeochemical function independent of community structure and controlled by other mechanisms?\n\nThe work was part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders. During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Hastings","Sheppard","Loughnane","Lloyd","McCarthy","Head","Sier"],"fullName":["Gray, N.D.","Hastings, R.C.","Sheppard, S.K.","Loughnane, P.","Lloyd, D.","McCarthy, A.J.","Head, I.M.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["N.D.","R.C.","S.K.","P.","D.","A.J.","I.M.","A."],"identifier":"1cebca07-dd82-4ba2-823b-274868abda42","incomingCitationCount":0,"keyword":["TTGE","Sourhope","Scottish borders","Soil pH","Soil moisture","Soil ammonia","Total organic carbon","Total Kjeldahl nitrogen","Soil respiration rate","Soil ammonia oxidation potential","Soil de-nitrification potential","Soil methane production","Soil methane oxidisation potential","soil","methane","ammonia"],"keywordsInstrument":["TTGE"],"keywordsOther":["Soil pH","Soil moisture","Soil ammonia","Total organic carbon","Total Kjeldahl nitrogen","Soil respiration rate","Soil ammonia oxidation potential","Soil de-nitrification potential","Soil methane production","Soil methane oxidisation potential","soil","methane","ammonia"],"keywordsPlace":["Sourhope","Scottish borders"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Data were collected by students and staff, following defined protocols, as recounted in supporting information. Data from the programme were managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.2439999999999998 55.464, -2.2439999999999998 55.481, -2.205 55.481, -2.205 55.464, -2.2439999999999998 55.464))"],"metadataDate":"2026-06-27T15:22:15.000Z","organisation":["Newcastle University","University of Liverpool","Cardiff University","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cebca07-dd82-4ba2-823b-274868abda42","10.5285/1cebca07-dd82-4ba2-823b-274868abda42","doi:10.5285/1cebca07-dd82-4ba2-823b-274868abda42"],"resourceType":"Dataset","ror":["https://ror.org/01kj2bm70","https://ror.org/04xs57h96","https://ror.org/03kk7td41","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This set of data comprises temporal temperature gradient electrophoresis (TTGE) and soil process measurements, used to analyse the effects of perturbations (sludge and/or lime application) on the structure, community development and activity of bacteria that catalyse…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme","Gray, N.D., Hastings, R.C., Sheppard, S.K., Loughnane, P., Lloyd, D., McCarthy, A.J. and Head, I.M., 2003. Effects of soil improvement treatments on bacterial community structure and soil processes in an upland grassland soil. FEMS Microbiology Ecology, 46(1), pp.11-22.","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113."],"supplementalName":["Soil Biodiversity website","Effects of soil improvement treatments on bacterial community structure and soil processes in an upland grassland soil.","Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme"],"title":"Bacterial community structure and soil process data from a sewage sludge amended upland grassland soil experiment, 2000 [NERC Soil Biodiversity Programme]","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Universidad de Buenos Aires","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology"],"authorFamilyName":["da Cunha","Chacoff","Sáez","Galetto","Devoto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"authorFullName":["da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Devoto, M.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"authorGivenName":["N.L.","N.P.","A.","L.","M.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"authorOrcid":["https://orcid.org/0000-0001-5509-6757","https://orcid.org/0000-0002-1115-6989","https://orcid.org/0009-0005-8988-2816","https://orcid.org/0000-0003-3828-657X","https://orcid.org/0000-0003-3098-236X","https://orcid.org/0000-0003-0424-3184","https://orcid.org/0000-0002-7947-350X","https://orcid.org/0000-0002-7801-1784","https://orcid.org/0000-0002-6593-4248","https://orcid.org/0000-0002-0038-3211","https://orcid.org/0000-0003-2283-1123","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-9079-9749"],"authorRor":["https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/0081fs513","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected from these same sites to elucidate the dependencies of this crop on insect pollination with a focus on managed and wild pollinators.  Data was collected over multiple seasons between 2020 and 2022. Soybean is one of the most traded agricultural commodities and is of significant economic importance in South America.  ","documentType":"GEMINI_DOCUMENT","familyName":["Devoto","da Cunha","Chacoff","Sáez","Galetto","Carrasco","Mazzei","Castillo","Palacios","Vesprini","Agostini","Saraiva","Woodcock","Aizen"],"fullName":["Devoto, M.","da Cunha, N.L.","Chacoff, N.P.","Sáez, A.","Galetto, L.","Carrasco, J.","Mazzei, M.P.","Castillo, S.E.","Palacios, T.P.","Vesprini, J.L.","Agostini, K.","Saraiva, A.M.","Woodcock, B.A.","Aizen, M.A."],"funder":["Natural Environment Research Council","National Scientific and Technical Research Council of Argentina (CONICET)","São Paulo Research Foundation"],"givenName":["M.","N.L.","N.P.","A.","L.","J.","M.P.","S.E.","T.P.","J.L.","K.","A.M.","B.A.","M.A."],"grant":["NE/S011870/2","RD 1984/19","2018/14994-1"],"identifier":"2bd21042-ebbc-4454-8ca3-96e18333ccd2","incomingCitationCount":0,"keyword":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"keywordsOther":["autogamy autonomous self-pollination","ecosystem services","Glycine max","Soya","pollination","wild bees","honeybees","seed set","yield (agricultural)","bees","soybean"],"licence":"Open government licence","lineage":"Fieldwork instrumentation used.  No fieldwork instrumentation was used outside of GPS to position the sites’ locations.   \n\nMethods of collection. Five study areas were located along a N-S latitudinal gradient from southern Brazil to central Argentina. Within each area, five soybean sites were selected. At each site sampling areas were established at the field edge (50 m from field boundary) and the field interior (150 m from the field boundary).\n\nPollinator sampling: During flowering, we conducted repeated measurements of pollinator abundance and diversity in each soybean field by sampling along 100-m-long transects (1 m wide) placed on the field margin (0 m from field edge) and within the crop at 50 and 150 m from the field edge. Pollinator sampling along transects was undertaken by slowly walking the transect for 20 minutes and recording all insects seen visiting flowers.  This was done on three occasions each day for an early (8:30-10:00h), mid (12-14:00h) and late (15:30-17:30) sample round. Pollinators were identified where possible to species or species aggregates in the field.  Where this was not possible individuals were collected for subsequent lab-based identification ideally to species, or where this was not possible to generic or some other level of identification. If necessary, a morphospecies concept was applied allowing the identification of recognizable taxonomic units even where taxonomic resolution was poor. Where possible the name of flowering plants in the field margin that received visits from the pollinators were recorded. Weather data was recorded in the form of temperature, humidity and wind speed.  \nPollination dependence of oilseed rape: At each sampling location in a field two (50 m and 150 m from the edge) sampling transects from the field edge were established (A and B).  We assessed pollinator dependence using a caging experiment consisting of two treatments: (i) closed to pollinators by covering crops within 1m2 enclosed by cages of fine mesh during the flowering period, (ii) open pollination (i.e., plot of 1m2 without manipulation). We harvested 5 plants per treatment, each taken from in the middle of the cage. Following harvest, we measured: (i) Total number of pods on the plant; (ii) Average number of seeds per pod; (ii) Weight of the seeds (grams) before drying; iii) Total dried weight of seeds from the plant (grams).  Additional information on crop variety, date of sowing and data of first observed flowers was recorded. Sampling was undertaken according to site in the harvest years of 2020, 2021 and 2022.\n\nNature and units of recorded variables.  All data on abundance of pollinators represents counts of individuals.  Data on fruit set represents counts of the number of fruits, buds and flowers.\n\nProcessing steps performed on the data.  No data has been transformed with the exception of mean seeds per pod values.\n\nQuality control/assessment applied to the data. All field workers were either experts with a long track record of pollinator identification or underwent extensive training.  Questionable specimens were collected for subsequent identification under laboratory conditions. Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually and following data entry into digital format by confirming where outlier abundances (>2SD from mean) were found that these were consistent with raw field data sheets. Balances used to weigh seeds are regularly calibrated.\n\nLimitations on the data reliability.  For the seed set data there is no shaded control that allows access to pollinators, although a preliminary study suggested that this treatment did not differ from a non-shaded open to pollinators control.","locations":["POLYGON((-86.177 -55.974, -86.177 9.449, -32.739 9.449, -32.739 -55.974, -86.177 -55.974))"],"metadataDate":"2026-06-29T18:02:23.000Z","orcid":["https://orcid.org/0000-0003-3098-236X","https://orcid.org/0000-0001-5509-6757","https://orcid.org/0000-0002-1115-6989","https://orcid.org/0009-0005-8988-2816","https://orcid.org/0000-0003-3828-657X","https://orcid.org/0000-0003-0424-3184","https://orcid.org/0000-0002-7947-350X","https://orcid.org/0000-0002-7801-1784","https://orcid.org/0000-0002-6593-4248","https://orcid.org/0000-0002-0038-3211","https://orcid.org/0000-0003-2283-1123","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-9079-9749"],"organisation":["Universidad de Buenos Aires","CONICET, Universidad Nacional del Comahue","Univ. Nacional de Tucuman","Universidad Nacional de Cordoba","Univ. Nacional de Tucuman ","Instituto de Investigaciones en Ciencias Agrarias de Rosario","Universidade Federal de Sao Carlos","Universidade de Sao Paulo","UK Centre for Ecology & Hydrology","Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2bd21042-ebbc-4454-8ca3-96e18333ccd2","10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2","doi:10.5285/2bd21042-ebbc-4454-8ca3-96e18333ccd2"],"resourceType":"Dataset","rightsHolder":["Grupo de Ecología de la Polinizacion (EcoPol), INIBIOMA (CONICET, Universidad Nacional del Comahue)"],"ror":["https://ror.org/0081fs513","https://ror.org/02zvkba47","https://ror.org/04chzd762","https://ror.org/056tb7j80","https://ror.org/02s040f34","https://ror.org/00qdc6m37","https://ror.org/036rp1748","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set represents field-based monitoring of insect pollinator communities found within soya (Glycine max L. Merril) crops located along a latitudinal gradient ranging from -37.669486 to -24.495121 covering both Argentina and Brazil.  Yield data was also collected…","state":"published","title":"Insect pollinator visitations to soybean crops, and soybean crop yield, along a latitudinal gradient in South America, 2020-2022","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University"],"authorFamilyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"authorFullName":["Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N."],"authorGivenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"authorOrcid":["https://orcid.org/0000-0002-0011-7407","https://orcid.org/0000-0002-2674-9285","https://orcid.org/0000-0002-1526-4071","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities.\n\nThis work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1].","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"fullName":["Samuel Robinson","Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N."],"funder":["Natural Environment Research Council"],"givenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"grant":["NE/K016253/1","NE/L002604/1","NE/X006247/1"],"identifier":"08bfe302-d33f-490d-97be-27bb83a0f38d","incomingCitationCount":0,"keyword":["Biodiversity","bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsOther":["bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Soil samples and forest structural and environmental data were collected at nine sites during one campaign in March 2018 . Three sampling sites were chosen in each of three forest types of old-growth, naturally regenerating and actively restored logged forest. Old-growth forest was located in the Danum Valley Conservation Area, and logged forest sites were situated within the adjacent Innoprise Face Foundation Rainforest Rehabilitation Project (INFAPRO) area. A geospatial transect design was employed for soil sampling and measurement of microclimate variables at each site to assess variation in microbial communities over cm to m scales. This comprised three transects radiating out from one centre point positioned at 120 ° to one another. Sampling points were located at the centre point, then at increasing distances of 10 cm, 30 cm, 90 cm, 2.7 m, 8.4 m and 24.3 m along each transect relative to the centre. The circumferences of all tree stems with diameter at breast height (DBH) >5 cm within a 2.5 m buffer of all transects were recorded at each site for site-level calculation of stem density and basal area. Soil physicochemical properties were analysed at the Sabah Forest Research Centre, Sepilok. Organic layer soil microbial community data were generated by 16S and ITS amplicon sequencing at UKCEH Wallingford, and Phospholipid Fatty Acid (PLFA) analysis at Lancaster University in the UK. Fungal functional guild classifications were assigned to fungal sequences using the FUNGuild annotation tool. Alpha diversity indices for microbial groups and relative abundances of fungal guilds were generated after rarefying by minimum read counts for each group . Rates of spatial turnover in soil microbial taxa for different microbial groups were calculated using the distance decay approach via linear modelling.","locations":["POLYGON((117.78 4.939, 117.78 5.012, 117.852 5.012, 117.852 4.939, 117.78 4.939))"],"metadataDate":"2026-06-29T17:19:40.000Z","orcid":["https://orcid.org/0000-0002-0011-7407","https://orcid.org/0000-0002-2674-9285","https://orcid.org/0000-0002-1526-4071","https://orcid.org/0000-0002-5143-5819","https://orcid.org/0000-0002-3341-4547","https://orcid.org/0000-0003-3263-3702"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08bfe302-d33f-490d-97be-27bb83a0f38d","10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d","doi:10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Lancaster University"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern…","state":"published","title":"Soil microbial communities, soil, environmental and forest structural properties across old-growth forest and naturally regenerating or actively restored selectively logged tropical forest in Sabah, Borneo, March 2018 v2","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars","Stagl"],"fullName":["Warnaars, T.","Stagl, S."],"givenName":["Tanya","S."],"identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T19:19:53.000Z","organisation":["UK Centre for Ecology & Hydrology","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315213681382","CEH:EIDC::1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Mackay","McShane","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","E.B.","G. ","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/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 Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Mackay","McShane","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Mackay, E.B.","McShane, G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","E.B.","G. ","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"dd35316a-cecc-4f6d-9a21-74a0f6599e9e","incomingCitationCount":0,"keyword":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsOther":["lake monitoring","lake water temperature","dissolved oxygen","Secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2.\n","locations":["POLYGON((-2.985 54.393, -2.985 54.399, -2.973 54.399, -2.973 54.393, -2.985 54.393))"],"metadataDate":"2026-06-29T16:35:34.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd35316a-cecc-4f6d-9a21-74a0f6599e9e","10.5285/dd35316a-cecc-4f6d-9a21-74a0f6599e9e","doi:10.5285/dd35316a-cecc-4f6d-9a21-74a0f6599e9e"],"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 Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, 2019-2020","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Brown","Pickard"],"authorFullName":["Brown, A.M.","Pickard, A.E."],"authorGivenName":["A.M.","A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG from a single point in the middle of the estuary (Breahead pontoon) through a tidal cycle at both the surface and bed so the impact of tidal river flow and stratification can be understood.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Pickard"],"fullName":["Brown, A.M.","Pickard, A.E.","Brown, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","A.E.","Alison"],"grant":["NE/S007431/1"],"identifier":"7f5b221e-d251-4bac-9252-16b4553dc345","incomingCitationCount":1,"keyword":["Scotland","Water quality","greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsOther":["greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsPlace":["Scotland"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The field data were collected between Aug 2020 and May 2022 on the Clyde estuary from the Breahead ponton across 7 surveys where data was measured through a tidal cycle and where data was collected both near the surface and near the bed on the Clyde estuary in Scotland.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PHD.  \nData were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.\n","locations":["POLYGON((-4.4 55.8, -4.4 55.9, -4.3 55.9, -4.3 55.8, -4.4 55.8))"],"metadataDate":"2026-06-29T16:36:52.000Z","orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2023-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f5b221e-d251-4bac-9252-16b4553dc345","10.5285/7f5b221e-d251-4bac-9252-16b4553dc345","doi:10.5285/7f5b221e-d251-4bac-9252-16b4553dc345"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the…","state":"published","title":"Physico-chemical water properties and greenhouse gas measurements across a tidal cycle, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["MaRIUS-G2G-MORECS-monthly"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960 to 2015.\n\nTo aid interpretation, two additional spatial datasets are provided:\n * Digitally-derived catchment areas on a 1km x 1km grid\n* Estimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"funder":["Natural Environment Research Council"],"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"grant":["NE/L010208/1"],"identifier":"e911196a-b371-47b1-968c-661eb600d83b","incomingCitationCount":4,"keyword":["Great Britain","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","Soil moisture","drought"],"keywordsOther":["G2G","Grid-to-Grid","River flow","Soil moisture","drought"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Non-Open government licence","lineage":"The flow and soil moisture estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca ) and potential evaporation from MORECS (Hough and Jones 1997; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.902 49.771, -8.902 58.882, 3.181 58.882, 3.181 49.771, -8.902 49.771))"],"metadataDate":"2026-06-27T19:01:08.000Z","orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e911196a-b371-47b1-968c-661eb600d83b","10.5285/e911196a-b371-47b1-968c-661eb600d83b","doi:10.5285/e911196a-b371-47b1-968c-661eb600d83b"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by observed climate data (CEH-GEAR rainfall and MORECS potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1960…","state":"published","supplementalDescription":["Bell V.A,. Kay A.L., Jones R.G., Moore R.J. and Reynard N.S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377, 335-350. "],"supplementalName":["Marius project website"],"title":"Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1960 to 2015): observed driving data [MaRIUS-G2G-MORECS-monthly]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Oxford","State University of New York"],"authorFamilyName":["Erezyilmaz","Lu"],"authorFullName":["Erezyilmaz, D.F.","Lu, K."],"authorGivenName":["D.F.","K."],"authorOrcid":["https://orcid.org/0000-0001-8416-8561"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01q1z8k08"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains Drosophila simulans-sechellia backcross female mate choice (phenotype) aligned with whole-genome genotypes of 692 female backcross progeny. The data was generated in a laboratory at Stony Brook University New York and each test was conducted in 28.5 x 95mm plastic vials. Phenotype data was collected in 2015 and the final analysis was completed in 2021. Illumina libraries were sequenced at University of Oregon G3 Genomics Center, and the multiplexed shotgun genotyping (MSG) software was run at Janelia Research Campus Virginia.\n\nThe experiments were conducted to align the genotype of females with behavioural phenotype, female preference. Three test females were allowed to choose from three males of either species. ‘Choice’ was determined by copulation, and the species of ‘chosen’ male was recorded before gDNA was extracted from the female. \n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing. Deniz Erezyilmaz was responsible for data collection and interpretation. Those genomes with ambiguous genotypes at more than 25% of markers due to sparse reads/coverage were eliminated from the analysis.\n\nThe research was funded through NERC grant NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization.","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Lu"],"fullName":["Erezyilmaz, D.","Erezyilmaz, D.F.","Lu, K."],"funder":["Natural Environment Research Council"],"givenName":["Deniz","D.F.","K."],"grant":["NE/S010351/1"],"identifier":"871c537d-2a84-432f-8597-7e895e0ffdcb","incomingCitationCount":0,"keyword":["Drosophila simulans","Drosophila sechellia "],"keywordsOther":["Drosophila simulans","Drosophila sechellia "],"licence":"Open government licence","lineage":"The Drosophila simulans-sechellia backcross genotypes were obtained by Multiplexed Shotgun Genotyping (Andolfatto et al, 2011), and the files were thinned using David Stern’s (Janelia Research Campus) script, pull_thin (github.com/dstern/pull_thin) were obtained by two-choice assay, females choosing between D. simulans and D. sechellia males.\n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing, as described in: Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory. https://doi.org/10.1101/gr.115402.110","metadataDate":"2026-06-29T16:10:01.000Z","orcid":["https://orcid.org/0000-0001-8416-8561"],"organisation":["University of Oxford","State University of New York","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/871c537d-2a84-432f-8597-7e895e0ffdcb","10.5285/871c537d-2a84-432f-8597-7e895e0ffdcb","doi:10.5285/871c537d-2a84-432f-8597-7e895e0ffdcb"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01q1z8k08","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains Drosophila simulans-sechellia backcross female mate choice (phenotype) aligned with whole-genome genotypes of 692 female backcross progeny. The data was generated in a laboratory at Stony Brook University New York and each test was conducted…","state":"published","supplementalDescription":["Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory."],"title":"Genotype-phenotype association for mate choice in a Drosophila simulans-sechellia backcross population","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Leeds","S.R.U.C.","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Young","Martin-Ortega","Glenk","Baird","Jones","Rowe","Evans","Dallimer","Reed"],"authorFullName":["Young, D.M.","Martin-Ortega, J.M.","Glenk, K.","Baird, A.J.","Jones, L.","Rowe, E.","Evans, C.D.","Dallimer, M.","Reed, M."],"authorGivenName":["D.M.","J.M.","K.","A.J.","L.","E.","C.D.","M."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches were added and the model allowed to run for a further 100 years. After this time, the ditches were ‘restored’ and the simulation continued until a total runtime of 5,100 years had elapsed.","documentType":"GEMINI_DOCUMENT","familyName":["Young","Martin-Ortega","Glenk","Baird","Jones","Rowe","Evans","Dallimer","Reed"],"fullName":["Young, D.M.","Martin-Ortega, J.M.","Glenk, K.","Baird, A.J.","Jones, L.","Rowe, E.","Evans, C.D.","Dallimer, M.","Reed, M.","Young, D."],"funder":["Natural Environment Research Council"],"givenName":["D.M.","J.M.","K.","A.J.","L.","E.","C.D.","M.","Dylan"],"grant":["NE/P00783X/1"],"identifier":"1d16b303-ca1d-43b4-93b1-c8172adc9792","incomingCitationCount":0,"keyword":["Blanket peat","DigiBog","Economic valuation","water table","peat"],"keywordsOther":["Blanket peat","DigiBog","Economic valuation","water table","peat"],"licence":"Open government licence","lineage":"The virtual peatland was set up with driving data and an underlying topography to represent a typical UK blanket peatland. The aim of the simulation was not to replicate peatland development at a specific location, but to create an analogue for blanket peat.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:10:38.000Z","organisation":["University of Leeds","S.R.U.C.","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1d16b303-ca1d-43b4-93b1-c8172adc9792","10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792","doi:10.5285/1d16b303-ca1d-43b4-93b1-c8172adc9792"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"These data are the simulated peat heights and water-table depths (both in cm) from a DigiBog  run. The virtual peatland was configured as a 2-D transect of 100 x 2m x 2m columns. The data were generated for each year of a 5,100-year run. After 4,900 years, six ditches…","state":"published","supplementalDescription":["Young, D. M., A. J. Baird, P. J. Morris, and J. Holden (2017). Simulating the long-term impacts of drainage and restoration on the ecohydrology of peatlands. Water Resources Research, 53(8), 6510–6522.","DigiBog website "],"title":"Simulated peat heights and water-table depths for UK blanket bog","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["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":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\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":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"2f711e25-8043-4a12-ab66-a52d4e649532","incomingCitationCount":1,"keyword":["UK-SCAPE","Land cover","Mapping"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-29T15:39:24.000Z","orcid":["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"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f711e25-8043-4a12-ab66-a52d4e649532","10.5285/2f711e25-8043-4a12-ab66-a52d4e649532","doi:10.5285/2f711e25-8043-4a12-ab66-a52d4e649532"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2019 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh"],"authorFamilyName":["Baker","Perry","Cottrell","Ennos","Green","James","Cavers"],"authorFullName":["Baker, J.","Perry, A.","Cottrell, J.","Ennos, R.","Green, S.","James, E.","Cavers, S."],"authorGivenName":["J.","A.","R.","S.","E."],"authorOrcid":["https://orcid.org/0009-0003-0514-4644","https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-6355-1326","https://orcid.org/0000-0001-5401-297X","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes data describing the berries and seeds of 172 juniper trees from nineteen populations across the UK and the proportional germination rate of each tree. Berries were collected and processed in 2015 and used in a germination trial that ran from 2015-2018. \n\nVariables included: average berry and seed weights, estimates of the number of viable and nonviable seeds, average number of seeds per berry, proportion of viable seeds that germinated.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Perry","Cottrell","Ennos","Green","James","Cavers"],"fullName":["Baker, J.","Perry, A.","Cottrell, J.","Ennos, R.","Green, S.","James, E.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["J.","A.","R.","S.","E."],"identifier":"f61dcdcc-b838-4bfa-8d94-7820114a68c8","incomingCitationCount":0,"keyword":["Biodiversity","Ecosystem services","Juniper","germination trial","common garden experiment","quantitative genetics","plant genetics"],"keywordsOther":["Juniper","germination trial","common garden experiment","quantitative genetics","plant genetics"],"keywordsTheme":["Biodiversity","Ecosystem services"],"licence":"Open government licence","lineage":"Berries were collection from 18 populations in 2015 then measured and processed by hand. Berries were stored at 4 deg C as necessary to keep them from moulding until they could be processed. Dry seeds were also stored at 4 deg C until they were sown for the germination trial. The germination trial was conducted at the greenhouse at the UKCEH Edinburgh, and seeds were sown in 1:1 mixture of sand and compost. \n\nSeed trays were subjected to a warm stratification treatment (7-14 deg C) for four months, then a cool stratification (4 deg C) for 8 months before being placed in the glasshouse at the UKCEH, Edinburgh. ","metadataDate":"2026-06-29T16:43:28.000Z","orcid":["https://orcid.org/0009-0003-0514-4644","https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-6355-1326","https://orcid.org/0000-0001-5401-297X","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f61dcdcc-b838-4bfa-8d94-7820114a68c8","10.5285/f61dcdcc-b838-4bfa-8d94-7820114a68c8","doi:10.5285/f61dcdcc-b838-4bfa-8d94-7820114a68c8"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes data describing the berries and seeds of 172 juniper trees from nineteen populations across the UK and the proportional germination rate of each tree. Berries were collected and processed in 2015 and used in a germination trial that ran from 2015-2018.…","state":"published","title":"Germination rates, seed and berry data of juniper trees from UK populations under a warm-cool stratification glasshouse experiment","topic":["0/Biodiversity/","0/Ecosystem services/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Perring","Aberg","de la Barra","Harley","Fitos","Marshall-Potter","Oswald","Oakley","Dunn","Garbutt","Burden"],"authorFullName":["Perring, M.","Aberg, D.","de la Barra, P.","Harley, J.","Fitos, E.","Marshall-Potter, S.","Oswald, T.","Oakley, S.","Dunn, C.","Garbutt, A.","Burden, A."],"authorGivenName":["Michael","Dan","Paula","J.","E","S","T","C","A"],"authorOrcid":["https://orcid.org/0000-0001-8553-4893","https://orcid.org/0000-0002-8115-8648","https://orcid.org/0000-0001-8416-5926","https://orcid.org/0000-0003-3861-9127","https://orcid.org/0000-0002-7694-1638"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"In two saltmarshes, Old Hall in the Blackwater (southeast England) and Warton Bank in the Ribble (northwest England), we took vegetation and soil samples every six to eight weeks from March/April 2025 to September 2025 to characterise seasonal denitrification and vegetation dynamics.\nA key ecosystem service in coastal systems is the remediation of nutrient pollution through sediment burial, vegetative uptake and microbial processing. Denitrification is a facultative anaerobic process where microbial activity transforms nitrate (NO3-), which in high concentrations can be environmentally harmful, into the environmentally benign dinitrogen gas (N2). Denitrification's magnitude is considered particularly important in saltmarsh systems compared to other habitats, although an intermediate product, nitrous oxide (N2O), can also be given off and contribute to climate change. \nThis dataset continues the timeline started in https://doi.org/10.5285/26efc506-a265-4bb1-8296-d6988ab8d714","documentType":"GEMINI_DOCUMENT","familyName":["Perring","Aberg","de la Barra","Harley","Fitos","Marshall-Potter","Oswald","Oakley","Dunn","Garbutt","Burden"],"fullName":["Paula de la Barra","Perring, M.","Aberg, D.","de la Barra, P.","Harley, J.","Fitos, E.","Marshall-Potter, S.","Oswald, T.","Oakley, S.","Dunn, C.","Garbutt, A.","Burden, A."],"funder":["The Crown Estate"],"givenName":["Michael","Dan","Paula","J.","E","S","T","C","A"],"identifier":"fd918e24-4fd8-4e32-867a-b1a1fe74ce12","incomingCitationCount":0,"keyword":["Ecosystem services","Soil","nitrogen","nitrate","nitrite","coastal environment","nutrient removal","denitrification"],"keywordsOther":["nitrogen","nitrate","nitrite","coastal environment","nutrient removal","denitrification"],"keywordsTheme":["Ecosystem services","Soil"],"licence":"Open government licence","lineage":"In two saltmarshes, Old Hall in the Blackwater (southeast England) and Warton Bank in the Ribble (northwest England), we sampled for vegetation and soil every six to eight weeks from March/April 2025 to September 2025 to characterise seasonal denitrification and vegetation dynamics.\n\n1 - Field methods\nWe sampled three distinct elevation-related vegetation zones, aiming for pioneer to low, low-mid and upper saltmarsh communities to the extent that was practicable.\nIn each vegetation zone identified in the field, we surveyed six 1 x 1 m quadrats at random. Once the quadrat had been placed we recorded percentage cover of bare ground, litter, and live vegetation. In general, vegetation was identified to genus level although clearly identifiable species were recorded separately. For those species with greater than or equal to 15 % cover, height was also recorded, on five randomly selected individuals per species.\nWithin the 1 x 1m quadrats, we chose 2 locations of approximately the same aboveground plant community composition and biomass (estimated by eye) for saltmarsh denitrification core collection. We used sediment extracts from these cores, after the denitrification assays described in the Laboratory analyses section, for characterisation of organic matter content and bulk density measures.\nWe extracted porewater samples from one excavated core hole using samplers of approximately 5 cm length, inserted at three depths - 5, 10 and 15 cm. Each sampler was attached to a syringe to ensure a vacuum and draw for the porewater. Having waited at least 20 minutes, we collected individual samples, with the aim of having at least 2 ml of porewater solution per depth.\nTide water samples were sourced from a tidal creek / main estuary channel location, approximately 1 to 2 hours either side of high water. These samples were used to characterise the nutrient environment of the saltmarsh, and we used this information when running denitrification samples through the Wetland Hydroperiod Simulator (see 2) Laboratory analyses section).\n\n2 - Laboratory analysis\n2.a - Denitrification Dynamics: The Wetland Hydroperiod Simulator Approach\nDenitrification rates from the whole core samples were analysed using the custom-built Wetland Hydroperiod Simulator. To calculate actual denitrification for one sample, two cores were taken per quadrat, one to undergo acetylene (C2H2) inhibition and one to act as a control.\n\n2.b - Denitrification Dynamics: Gas Analysis\nGas samples were analysed by gas chromatography using a Varian model 450 gas chromatograph (GC) instrument, equipped with an electron capture detector (ECD) for N2O.\n\n2.c - Denitrification Dynamics: Potential Denitrification Rates were calculated using equations (see Supporting documentation)\n\n2.d - Porewater and Seawater Samples\nSeawater and porewater samples were analysed using colorimetric based methods. Nitrate (NO3-) was measured using a Vanadium reduction followed by a Griess reaction. Ammonium (NH4+) was measured using a buffered indophenol method. Phosphate (PO43-) was measured using the molybdenum blue method. Other seawater ion concentrations (Cl-, Na2+, K+, Br-, Mg3+ and Ca2+) were measured using a Metrohm 850 Professional IC. For anions, 20 ul of sample was injected onto a Metrosep A Supp 5 - 150/4.0 column using an 8mM Na2CO3, 0.2mM NaHCO3 eluent. For cations, 20 ul of sample was injected onto a Metrosep C 4 - 250/4.0 column using a 5mM HNO3/1mM Oxalic acid eluent.\n\n2.e - Organic Matter content and Bulk Density - The Loss on Ignition (LoI) method was employed to determine the percentage of moisture and organic matter content in the sediment.\n- Plant data processing - The percentage of area covered by live vegetation or algae in each quadrat was added to have a \"vegetated area cover\". Shannon diversity index was calculated for each quadrat in the R software (R Core Team 2025) using function diversity from R package vegan (Oksanen et al. 2001).","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T16:49:30.000Z","orcid":["https://orcid.org/0000-0001-8553-4893","https://orcid.org/0000-0002-8115-8648","https://orcid.org/0000-0001-8416-5926","https://orcid.org/0000-0003-3861-9127","https://orcid.org/0000-0002-7694-1638"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Crown Estate (United Kingdom)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fd918e24-4fd8-4e32-867a-b1a1fe74ce12","10.5285/fd918e24-4fd8-4e32-867a-b1a1fe74ce12","doi:10.5285/fd918e24-4fd8-4e32-867a-b1a1fe74ce12"],"resourceType":"Dataset","rightsHolder":["Crown Estate (United Kingdom)"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/05b4m7j60","https://ror.org/04xw4m193"],"shortenedDescription":"In two saltmarshes, Old Hall in the Blackwater (southeast England) and Warton Bank in the Ribble (northwest England), we took vegetation and soil samples every six to eight weeks from March/April 2025 to September 2025 to characterise seasonal denitrification and vegetation…","state":"published","title":"Seasonal denitrification rates and vegetation dynamics from Warton Bank and Old Hall saltmarshes, England, March/April 2025-September 2025","topic":["0/Ecosystem services/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Smith","Dore","Tang","Stedman"],"authorFullName":["Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"authorGivenName":["R.I.","A.J.","Y.S.","J.R."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2011 to 2013.\n\nThe data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. \n\nHabitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the Centre for Ecology & Hydrology (CEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts.","documentType":"GEMINI_DOCUMENT","familyName":["Bealey","Smith","Dore","Tang","Stedman"],"fullName":["Bealey, B.","Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"givenName":["Bill","R.I.","A.J.","Y.S.","J.R."],"identifier":"d7f3bfd5-bcde-41b8-bd22-02e331d24b54","incomingCitationCount":0,"keyword":["Concentration Based Estimated Deposition (CBED)","pollutant","deposition","sulphur","nitrogen","base cations"],"keywordsOther":["pollutant","deposition","sulphur","nitrogen","base cations"],"keywordsProject":["Concentration Based Estimated Deposition (CBED)"],"licence":"Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network.  The site-based measurements are first interpolated to generate maps of concentrations for the UK.  The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition.  Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban.  The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the 5x5 km grid square, to generate values for grid square averaged deposition.  Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation.  For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats.\n\nData processing was done using the GenStat programme and results output as text files. These were then exported as comma separated values for ingestion into the Environmental Information Data Centre. \n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:28:52.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7f3bfd5-bcde-41b8-bd22-02e331d24b54","10.5285/d7f3bfd5-bcde-41b8-bd22-02e331d24b54","doi:10.5285/d7f3bfd5-bcde-41b8-bd22-02e331d24b54"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2011 to 2013.\n\nThe data consist of deposition values for sulphur, oxidised…","state":"published","supplementalDescription":["Fowler, D., Cape, J.N., Leith, I.D., Choularton, T.W., Gay, M.J. & Jones, A.  1988.  The influence of altitude on rainfall composition at Great Dun Fell.  Atmospheric Environment, 22, 1355-1362.","Hallsworth, S., Sutton, M.A., Dore, A.J., Dragosits, U., Tang, Y.S. & Vieno, M.  2010.  The role of the indicator choice in quantifying the ammonia threat to the Natura 2000 network.  Environmental Science & Policy, 13, 671-687","RoTAP.  2012.  Review of Transboundary Air Pollution: Acidifcation, Eutrophication, Ground Level Ozone and Heavy Metals in the UK.  Contract Report to the Department for Environment, Food and Rural Affairs.  Centre for Ecology & Hydrology.  www.rotap.ceh.ac.uk","Smith, R.I., Fowler, D., Sutton, M.A., Flechard, C. & Coyle, M.  2000.  Regional estimation of pollutant gas deposition in the UK: model description, sensitivity analyses and outputs.  Atmospheric Environment, 34, 3757-3777.","Stedman, J.R., Kent, A.J., Grice, S., Bush, T.J. & Derwent, R.G.  2007.  A consistent method for modelling PM10 and PM2.5 concentrations across the United Kingdom in 2004 for air quality assessment.  Atmospheric Environment, 41, 161-172.","Dore, A.J., Choularton, T.W. & Inglis, D.W.F.  2001.  Monitoring studies of precipitation and cap cloud chemistry at Holme Moss in the Southern Pennines.  Water, Air and Soil Pollution: Focus 1; 381-390.","Beswick, K.M., Choularton, T.W., Inglis, D.W.F., Dore, A.J. & Fowler, D.  2003.  Influences on long-term trends in ion concentration and deposition at Holme Moss.  Atmospheric Environment, 37 (14), 1927-1940."],"supplementalName":["UK Acidifying and Eutrophying Atmospheric Pollutants ","United Kingdom Eutrophying & Acidifying Network (UKEAP) "],"title":"Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK (2011-2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Appleton","Pritchard","Eves","Tandy","Brentegani","Norris"],"authorFullName":["Keith, A.M.","Appleton, E.R.","Pritchard, L.","Eves, N.","Tandy, S.","Brentegani, M.","Norris, D."],"authorGivenName":["A.M. ","E.R. ","L.","N.","S.","M.","D."],"authorOrcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8665-7385","https://orcid.org/0009-0006-1452-7470","https://orcid.org/0009-0006-5600-0968","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0001-9426-7168","https://orcid.org/0000-0001-8298-555X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource contains soil physico-chemical data from eight agricultural sites across the UK sampled during September 2022 and October 2022. For all sites, the data resource presents results for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, and total carbon and nitrogen content. Thermo-Gravimetric Analyses (TGA) was performed at one site due to atypically high values for total carbon content.\n\nThe soil samples were collected using a Split tube sampler. The soil samples were processed at UKCEH laboratories from September 2022 through to August 2023. Sample collection and analysis was performed by project staff.\n\nThe samples were taken to provide soil baseline data at the eight sites before the planting of perennial biomass crops.   \n\nThe project was funded by the Department for Energy Security & Net Zero (formally the Department for Business, Energy & Industrial Strategy (BEIS)) (Client reference - CEH-303).\n","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Appleton","Pritchard","Eves","Tandy","Brentegani","Norris"],"fullName":["Keith, A.M.","Appleton, E.R.","Pritchard, L.","Eves, N.","Tandy, S.","Brentegani, M.","Norris, D."],"funder":["Department of Energy Security and Net Zero"],"givenName":["A.M. ","E.R. ","L.","N.","S.","M.","D.","A.M."],"identifier":"8c87a397-a010-48a4-8ca5-0f3742c2d857","incomingCitationCount":0,"keyword":["split tube sampler","Soil","perennial biomass crops","soil chemistry","soil carbon","grassland","arable land"],"keywordsInstrument":["split tube sampler"],"keywordsOther":["perennial biomass crops","soil chemistry","soil carbon","grassland","arable land"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil sampling was undertaken at pre-determined locations across the sites covering the areas where different plots of perennial biomass crops were to be planted. At each sampling location, a soil sample was taken to 30 cm depth using a Split tube sampler and then split into 0 to 15 cm and 15 to 30 cm depth increments. Due to the nature of soil, these depths had to be adjusted for some sites; in particular, due to the stoniness of soils. \n\nAfter sampling the samples were placed in an insulated cool box and transported to UKCEH (UK Centre for Ecology & Hydrology) Lancaster as soon as possible. Samples were then stored at 4°C in a dark fridge at UKCEH Lancaster until processing started within two weeks of the collection date. \n\nStandardised procedures were followed to analyse the soils from all sites for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, total carbon and nitrogen content, moisture and Loss-on-Ignition (LOI), Soil texture at the laboratory at UKCEH Lancaster. Due to atypically high values for total carbon content at one site (Auchincruive) archived samples from the site were also analysed by Thermo-Gravimetric Analyses (TGA) by the laboratory at UKCEH Bangor.  \n\nResults from analyses were collated into Excel spreadsheets. Data were exported as comma separated value files for deposit into the Environmental Information Data Centre (EIDC)\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:06:39.000Z","orcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-8665-7385","https://orcid.org/0009-0006-1452-7470","https://orcid.org/0009-0006-5600-0968","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0001-9426-7168","https://orcid.org/0000-0001-8298-555X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8c87a397-a010-48a4-8ca5-0f3742c2d857","10.5285/8c87a397-a010-48a4-8ca5-0f3742c2d857","doi:10.5285/8c87a397-a010-48a4-8ca5-0f3742c2d857"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data resource contains soil physico-chemical data from eight agricultural sites across the UK sampled during September 2022 and October 2022. For all sites, the data resource presents results for a range of soil characteristics including, pH, soil moisture, stone…","state":"published","supplementalDescription":["Link to project website:"],"title":"Soil physico-chemical properties from eight UK agricultural sites, 2022","topic":["0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Freshwater Biological Association"],"authorFamilyName":["Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"authorFullName":["Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"authorGivenName":["S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C.","H."],"authorOrcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly to fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data were initially collected by the Freshwater Biological Association but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology since 1989. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from April 1945 until the end of 2013. ","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent"],"fullName":["Feuchtmayr, H.","Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C."],"givenName":["H.","S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C."],"identifier":"393a5946-8a22-4350-80f3-a60d753beb00","incomingCitationCount":2,"keyword":["England","Lake District","Blelham Tarn","Environmental survey","Water quality"],"keywordsPlace":["England","Lake District","Blelham Tarn"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in Freshwater Biological Association/Centre for Ecology & Hydrology laboratories.","locations":["POLYGON((-2.985 54.393, -2.985 54.399, -2.973 54.399, -2.973 54.393, -2.985 54.393))"],"metadataDate":"2026-06-27T19:36:23.000Z","orcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","Freshwater Biological Association","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/393a5946-8a22-4350-80f3-a60d753beb00","10.5285/393a5946-8a22-4350-80f3-a60d753beb00","doi:10.5285/393a5946-8a22-4350-80f3-a60d753beb00"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly to fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data were…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, 1945 to 2013","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=5&facet=availability%7CAvailable"}