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and hydrochemical variables at four instrumented riverine sites and continuous CO2 exchange data for three instrumented terrestrial sites. In addition to these continuous monitoring data sets there are data sets from intensive campaigns at six sites aimed at characterising the cycling of both carbon and nitrogen in both riverbed sediments and terrestrial soils with additional data on the microbiology driving some of the key processes in the cycling of carbon and nitrogen. For the riverine sites there are also ecological macroinvertebrate and fish data, including abundance and their elemental composition.\n\nThis data series was collected as part of the Lateral Exchange consortium project (NE/J012106/1), under the NERC Macronutrient Cycles programme. Our overall aim was to capture how the processing of the life supporting elements (C,N,P) is governed by the different pathways by which macronutrients are travelling from grassland fields through river systems and out to the coast in different parts of the landscape - including on clay, sand and chalk geologies. An overall summary of our aims, approach and key findings can be found in the Supporting Documentation. \n\nThe consortium was led by Prof. Mark Trimmer (Queen Mary, University of London) along with co-investigators at the Universities of Essex, York, Lancaster and Imperial College London and ran from October 2012 to December 2015.\n","documentType":"GEMINI_DOCUMENT","familyName":["Trimmer"],"fullName":["Trimmer, M."],"givenName":["M."],"identifier":"a6c8e7c5-4c1a-43ef-9f0b-504b96549d7d","incomingCitationCount":0,"keyword":["LEMSEF","Carbon","Nitrogen","Phosphate"],"keywordsOther":["Carbon","Nitrogen","Phosphate"],"keywordsProject":["LEMSEF"],"licence":"Open government licence","lineage":"See individual datasets for details of lineage.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-07-25T13:19:08.000Z","organisation":["Queen Mary University of London"],"publicationDate":"2016-09-13T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a6c8e7c5-4c1a-43ef-9f0b-504b96549d7d"],"resourceType":"Aggregation","ror":["https://ror.org/026zzn846"],"shortenedDescription":"This data series includes continuous monitoring data for both hydrological and hydrochemical variables at four instrumented riverine sites and continuous CO2 exchange data for three instrumented terrestrial sites. In addition to these continuous monitoring data sets…","state":"published","supplementalName":["NERC Macronutrient Cycles programme website"],"temporalExtentText":"Data collected from 2012 to 2015","title":"Biogeochemical, hydro- and hydro-chemical and ecological data collected from terrestrial and riverine sites from across mixed geologies in the Hampshire Avon collected by the role of lateral exchange in modulating the seaward flux of C, N, P project","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson ","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson , J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorOrcid":["0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). 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An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see on-line supporting documentation.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287477917085","CEH:EIDC::1287477917085","https://catalogue.ceh.ac.uk/id/9f043047-d1c7-4852-b513-aa00204022a8","10.5285/9f043047-d1c7-4852-b513-aa00204022a8","doi:10.5285/9f043047-d1c7-4852-b513-aa00204022a8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2000 for Northern Ireland, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26…","state":"published","temporalExtentText":"Data collected from 2000 to 2000","title":"Land Cover Map 2000 (vector, N.Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"The data were collected as part of a long-term population monitoring project on the breeding biology and behaviour of birds, and as part of a project on the ecology of behavioural contagion in natural systems. The dataset consists of bird ringing records, bird breeding records, and PIT-tag recordings of birds discovering novel food patches in relation to experimentally manipulated local population densities. Data collection took place in Wytham woods, Oxfordshire, UK in 2020 and 2021. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1).","documentType":"GEMINI_DOCUMENT","identifier":"2eb97d29-1ebd-41e5-8583-019d0513ce06","incomingCitationCount":0,"keyword":["Ornithology","population density","patch discovery","experiment","breeding biology"],"keywordsOther":["Ornithology","population density","patch discovery","experiment","breeding biology"],"licence":"Non-Open government licence","metadataDate":"2024-02-08T17:38:16.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2eb97d29-1ebd-41e5-8583-019d0513ce06"],"resourceType":"Aggregation","shortenedDescription":"The data were collected as part of a long-term population monitoring project on the breeding biology and behaviour of birds, and as part of a project on the ecology of behavioural contagion in natural systems. The dataset consists of bird ringing records, bird breeding…","state":"published","title":"Bird breeding records and data from an experimental manipulation of local population density in Wytham Woods, UK, 2020-2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Hill"],"authorFullName":["Hill, T.C."],"authorGivenName":["T.C."],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. \n\nData collection was carried out at six intertidal sites in the winter and summer of 2013. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area, twenty two sampling quadrats were placed on each area. A single NDVI observation was taken at each quadrat.\n\nSpectral reflectance was measured using a portable spectrometer.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hill"],"fullName":["Hill, T.C.","Hill, T."],"funder":["Natural Environment Research Council"],"givenName":["T.C.","Tim"],"grant":["NE/J015644/1"],"identifier":"75b1f669-66b3-472b-9d31-eda908826e17","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","NDVI","mudflat","spectral reflectance","salt marsh","vegetation"],"keywordsOther":["NDVI","mudflat","spectral reflectance","salt marsh","vegetation"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty-two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). These quadrats are common to all CBESS quadrat data. NDVI measurements were obtained before any destructive harvesting of the quadrats. \n\nAn OceanOptics USB2000 spectrometer with a 1.5 m fibre optic was used in all measurements. OOIBase32 Version 2.0.1.3 was used to log data on a laptop. Reflectance measurements were taken at 1.5 m above the ground surface. At each quadrat: 1) the integration time of the spectrometer was adjusted such that the peak of the white reference spectra was approx 75% of the spectrometers maximum level; 2) for short integration times (<100 ms) spectral averaging was used to reduce measurement noise; 3) a dark measurement was recorded; 4) a white reference measurement was recorded; and 5) the reflectance measurement was made. A note is made of the number of the OOBase files associated with the quadrat number and percentage cloud and water cover of the quadrat and any other relevant information are taken. NDVI is calculated in Matlab.","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:42:04.000Z","organisation":["University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75b1f669-66b3-472b-9d31-eda908826e17","10.5285/75b1f669-66b3-472b-9d31-eda908826e17","doi:10.5285/75b1f669-66b3-472b-9d31-eda908826e17"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The Normalised Difference Vegetation Index (NDVI) dataset details surface reflectance measured as NDVI. NDVI provides a proxy for the amount and/or the relative 'greenness' of vegetation. \n\nData collection was carried out at six intertidal sites in the winter and summer…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) Normalised Difference Vegetation Index (NDVI) in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of St Andrews"],"authorFamilyName":["Schneider"],"authorFullName":["Schneider, W."],"authorGivenName":["W."],"authorOrcid":["0000-0002-5197-5436"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains movement metrics of field crickets tracked within an arena modelled on a natural environment. Eight crickets were tracked per trial (13 trials in total), and each trial lasted 3 hours. Of the eight crickets, four were male and four were female. After the tracking ended, each female was allowed to lay eggs. The hatchlings were later counted, and this information is also included in the dataset. ","documentType":"GEMINI_DOCUMENT","familyName":["Schneider"],"fullName":["Schneider, W."],"funder":["Natural Environment Research Council"],"givenName":["W.","Will"],"grant":["NE/L011255/1","NE/T000619/1"],"identifier":"062d1571-f1cd-4739-89ed-e716f8b0eb79","incomingCitationCount":0,"keyword":["Animal behaviour","behavioural plasticity","movement ecology","phenotypic accommodation","trait loss","Teleogryllus oceanicus","animal behaviour"],"keywordsOther":["behavioural plasticity","movement ecology","phenotypic accommodation","trait loss","Teleogryllus oceanicus","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"An array of cameras affixed to the ceiling took photographs on a two-second timer. Images were transferred, and each image was automatically processed to detect the presence of a cricket tag. Tags were assigned an ID and location. At each timestamp, detections were pooled and the coordinates were determined globally – for the position of each camera in the array. Movement metrics were then calculated (such as distance travelled, and time spent stationary), for each cricket track. These data were then saved and are available in this resource. ","metadataDate":"2026-11-05T14:39:03.000Z","orcid":["0000-0002-5197-5436"],"organisation":["University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/062d1571-f1cd-4739-89ed-e716f8b0eb79","10.5285/062d1571-f1cd-4739-89ed-e716f8b0eb79","doi:10.5285/062d1571-f1cd-4739-89ed-e716f8b0eb79"],"resourceType":"Non-geographic dataset","rightsHolder":["University of St Andrews"],"ror":["https://ror.org/04xw4m193","https://ror.org/02wn5qz54"],"shortenedDescription":"This dataset contains movement metrics of field crickets tracked within an arena modelled on a natural environment. Eight crickets were tracked per trial (13 trials in total), and each trial lasted 3 hours. Of the eight crickets, four were male and four were female.…","state":"published","title":"Movement metrics of singing and silent Hawaiian field crickets (Teleogryllus oceanicus) in a semi-natural arena","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Bealey","Martin Hernandez","Levy","Stedman"],"authorFullName":["Bealey, W.J.","Martin Hernandez, C.","Levy, P.E.","Stedman, J.R."],"authorGivenName":["W.J.","C.","P.E.","J.R."],"authorOrcid":["0000-0003-3708-5864","0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2015 to 2017. The dataset also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are:\n(i) Special Areas of Conservation (SAC)\n(ii) Special Protection Areas (SPA)\n(iii) Sites of Special Scientific Interest (SSSI).\n\nThe data consist of values of nitrogen and acid deposition, and concentrations of ammonia (NH3) based on the Concentration Based Estimated Deposition (CBED), and concentrations of NOX and SO2 using the Pollution Climate Mapping (PCM) model.\n\nNitrogen and acid deposition data is also given for specific habitat types including:\n(i) moorland/short vegetation everywhere,\n(ii) forest everywhere, and\n(iii) the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban)\n\nThese habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances using the relevant deposition/habitat type.","documentType":"GEMINI_DOCUMENT","familyName":["Bealey","Martin Hernandez","Levy","Stedman"],"fullName":["Bealey, W.J.","Martin Hernandez, C.","Levy, P.E.","Stedman, J.R.","Bealey, B."],"givenName":["W.J.","C.","P.E.","J.R.","Bill"],"identifier":"5537065d-4166-438a-be4f-52f59875a6e1","incomingCitationCount":0,"keyword":["Pollution","source attribution","nitrogen deposition","natura 2000","ecosystem impacts from atmospheric pollution","critical load","acid deposition","pollutant deposition","atmospheric pollution"],"keywordsOther":["source attribution","nitrogen deposition","natura 2000","ecosystem impacts from atmospheric pollution","critical load","acid deposition","pollutant deposition","atmospheric pollution"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The Air Pollution Information System (APIS), through the 'Site Relevant Critical Loads' tool, provides critical loads for acidity and nitrogen and critical levels for ammonia, sulphur dioxide and nitrogen oxides for designated features within every SAC, SPA or A/SSSI in the UK. In addition, deposition and concentration data for nitrogen and sulphur pollutants are provided at each site to give an estimate of critical load/level exceedance.\n\nThe data provided is based on pollutant deposition gridded maps for nitrogen and acid deposition and concentration maps of ammonia, nitrogen oxides and sulphur, which are overlayed to a GIS shape file of site boundaries in the UK (e.g. SAC, SPA, SSSI). These gridded maps were then clipped to provide the pollutant values for each grid square including the area of the clipped grid. The resulting data was then queried to generate site statistics in the form of a minimum, maximum and area weighted average values for each of the pollutants.\n\nFor nitrogen and acid deposition values and ammonia concentrations, 3 year average pollutant maps were used at a resolution of 5 x 5 km from the CBED model for the years 2015-2017. For nitrogen dioxide and sulphur dioxide concentrations the 1 x 1 km PCM model was used based on the 3 year average (2015-2017). Deposition values are generated for specific habitat types (forest and semi-natural) to be used in critical load exceedance calculations.\nThe full methodology is available in the contextual metadata linked to this record.\n\nThe work of APIS is jointly funded between the Centre for Ecology & Hydrology and the UK pollution and conservation agencies including Natural Resources Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T14:35:23.000Z","orcid":["0000-0003-3708-5864","0000-0002-8505-1901"],"organisation":["Centre for Ecology & Hydrology","Ricardo Energy & Environment","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5537065d-4166-438a-be4f-52f59875a6e1","10.5285/5537065d-4166-438a-be4f-52f59875a6e1","doi:10.5285/5537065d-4166-438a-be4f-52f59875a6e1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2015 to 2017. The dataset also…","state":"published","supplementalDescription":["APIS Site Relevant Critical Loads and Source Attribution"],"supplementalName":["APIS website"],"temporalExtentText":"Data collected from 2015 to 2017","title":"Deposition and concentration of nitrogen and sulphur for protected sites in the UK (2015-2017)","topic":["0/Pollution/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"authorFullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"authorGivenName":["R.","F.","P.","G.","B."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains operational taxonomic units for epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"fullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"givenName":["R.","F.","P.","G.","B."],"identifier":"16649ff0-af24-41b0-bcb4-15e610dac170","incomingCitationCount":0,"keyword":["Biodiversity","genetic information","microbiology","genetics","Tellus","South West project"],"keywordsOther":["genetic information","microbiology","genetics","Tellus","South West project"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T19:11:19.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395928899368","CEH:EIDC::1395928899368","https://catalogue.ceh.ac.uk/id/16649ff0-af24-41b0-bcb4-15e610dac170","10.5285/16649ff0-af24-41b0-bcb4-15e610dac170","doi:10.5285/16649ff0-af24-41b0-bcb4-15e610dac170"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains operational taxonomic units for epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field,…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Operational taxonomic units for epilithon bacteria in the rivers Wolf and Tamar catchments","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jone"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Occupational Medicine (IOM)"],"authorFamilyName":["Reis","Liska","Steinle","Carnell","Leaver","Roberts","Vieno","Beck","Dragosits"],"authorFullName":["Reis, S.","Liska, T.","Steinle, S.","Carnell, E.","Leaver, D.","Roberts, E.","Vieno, M.","Beck, R.","Dragosits, U."],"authorGivenName":["S.","T.","E.","D.","M.","R.","U."],"authorOrcid":["0000-0003-2428-8320","0000-0003-0870-1955","0000-0001-7741-9377","0000-0002-9283-6467"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid"],"description":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2015 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2011 UK Census population data on Output Area level with Land Cover Map 2015 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","familyName":["Reis","Liska","Steinle","Carnell","Leaver","Roberts","Vieno","Beck","Dragosits"],"fullName":["Reis, S.","Liska, T.","Steinle, S.","Carnell, E.","Leaver, D.","Roberts, E.","Vieno, M.","Beck, R.","Dragosits, U."],"givenName":["S.","T.","E.","D.","M.","R.","U.","Stefan"],"identifier":"0995e94d-6d42-40c1-8ed4-5090d82471e1","incomingCitationCount":18,"keyword":["Mapping","Environmental risk","human population","land cover"],"keywordsOther":["human population","land cover"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics have been downloaded as CSV files.\n\nLand Cover Map 2015 vector data has been obtained from CEH.\n\nOutput Area geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\n\nThe processing steps are detailed in the Supporting Documentation.\n\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2011 Census totals. In particular due to the clipping process, which merges data on different geographies, areas where population data are provided on administrative boundaries and areas which contain urban, suburban and urban industrial land use parcels, some inconsistencies are inevitable. In addition, the Land Cover Map has been generated in 2015 (with satellite data compiled prior to the release, whereas Census data was obtained in 2011. In the period in between, changes in residential areas will have emerged, which result in different urban or suburban land use data in LCM 2015 compared to the 2011 census (e.g. newly developed residential areas). While there is a difference between residential and workday populations in the Census dataset of 0.107%, the same population figure has been assumed for scaling. As a result, the final output file is consistent with the Census total population for the UK in 2011 within 0.0012% for residential and 0.0005% for workday populations respectively.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:58:16.000Z","orcid":["0000-0003-2428-8320","0000-0003-0870-1955","0000-0001-7741-9377","0000-0002-9283-6467"],"organisation":["Centre for Ecology & Hydrology","Institute of Occupational Medicine (IOM)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0995e94d-6d42-40c1-8ed4-5090d82471e1","10.5285/0995e94d-6d42-40c1-8ed4-5090d82471e1","doi:10.5285/0995e94d-6d42-40c1-8ed4-5090d82471e1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2015 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales,…","state":"published","title":"UK gridded population 2011 based on Census 2011 and Land Cover Map 2015","topic":["0/Mapping/","0/Environmental risk/"],"version":2.0,"view":["public","leav"]},{"authorAffiliation":["University of Exeter","University of Campinas","Australian National University","University of Sao Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Centre for Research on Ecology and Forestry Applications (CREAF)"],"authorFamilyName":["Rowland","Oliveira","Bittencourt","Giles","Coughlin","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini"],"authorFullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","Coughlin, I.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M."],"authorGivenName":["L.","R.S.","P.R.L.","A.L.","I.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M."],"authorOrcid":["0000-0002-0774-3216","0000-0002-6392-2526","0000-0002-2362-0398","0000-0003-0840-1477"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/019wvm592","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/03abrgd14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil. \n17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation capacity, electron transport capacity, leaf respiration in the dark, stomatal conductance, stem CO2 efflux, leaf mass per area, leaf nitrogen and phosphorus content, branch wood density, leaf water potential, xylem pressure, lumen conductance, percentage loss of conductivity, hydraulic Safety Margin and leaf area to sapwood area ratio) of 176 trees (most common genera) were sampled across two experimental plots: a one-hectare through-fall exclusion plot with a plastic panel structure that excludes 50% of the canopy through-fall and has done since 2002 and a corresponding one-hectare control plot without any drought structure. \n\nThis data comes from the Caxiuanã through-fall exclusion (TFE) experiment located in the terra firma forest, on yellow oxisol soils at 15 m above sea level, with a mean annual rainfall between 2,000–2,500 mm and a pronounced dry season between June and November.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Oliveira","Bittencourt","Giles","Coughlin","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini"],"fullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","Coughlin, I.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M."],"funder":["Natural Environment Research Council"],"givenName":["L.","R.S.","P.R.L.","A.L.","I.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M."],"grant":["NE/N014022/1"],"identifier":"441565b3-0a7d-4d3c-a7a8-7d7b487c1462","incomingCitationCount":1,"keyword":["Caxiuanã National Forest Reserve","Brazil","Phenology","plant functional traits","light availability","intra‐specific variation","tree growth","drought","tropical forest","climate change","tree","light"],"keywordsOther":["plant functional traits","light availability","intra‐specific variation","tree growth","drought","tropical forest","climate change","tree","light"],"keywordsPlace":["Caxiuanã National Forest Reserve","Brazil"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"To sample the traits, three branches from the same tree were gathered at three specific time periods each day in September and October 2016.  Stem CO2 efflux measurements (Rstem) were made in October 2016 using a gas analyser attached in a close loop system to a 75cm2 area of each of our study trees. Growth rates were calculated for each tree using mean stem increment data measured every three months using dendrometers, as presented in Rowland et al., (https://doi.org/10.1038/nature15539). Mean growth increment was calculated by averaging three-monthly growth rate data from 2010-2016 for each tree and then log-transforming these data.","locations":["POLYGON((-62.403 -12.039, -62.403 7.188, -41.133 7.188, -41.133 -12.039, -62.403 -12.039))"],"metadataDate":"2026-11-05T14:34:23.000Z","orcid":["0000-0002-0774-3216","0000-0002-6392-2526","0000-0002-2362-0398","0000-0003-0840-1477"],"organisation":["University of Exeter","University of Campinas","Australian National University","University of Sao Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Centre for Research on Ecology and Forestry Applications (CREAF)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/441565b3-0a7d-4d3c-a7a8-7d7b487c1462","10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462","doi:10.5285/441565b3-0a7d-4d3c-a7a8-7d7b487c1462"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/019wvm592","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/03abrgd14","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise tree trait data collected during September and October 2016 (the peak dry season), in the Caxiuanã National Forest Reserve, eastern Amazon, Brazil. \n17 traits (including plot type, tree species name, diameter at breast height, tree light score, carboxylation…","state":"published","supplementalDescription":["Rowland et al. Nature 528, 119–122 (2015). ","Rowland et al. Global Change Biology, 21, 12. (2015)"],"supplementalName":["Death from drought in tropical forests is triggered by hydraulics not carbon starvation","After more than a decade of soil moisture deficit, tropical rainforest trees maintain photosynthetic capacity, despite increased leaf respiration"],"temporalExtentText":"Data collected from 2016 to 2016","title":"Traits data from trees exposed to a 50% reduction in canopy throughfall for 14 years in Caxiuanã, Brazil, September to October 2016","topic":["0/Phenology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises net primary productivity (NPP) measured as kilogrammes of dry above-ground vegetation per square metre per year. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (m) (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. NPP measurements were based on vegetation re-growth after cutting in winter 2013 and harvesting in summer 2013.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS). The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"2cbe3a8c-1a54-490d-a32d-078564c117b7","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Net Primary Production","NPP","salt marsh","grassland","vegetation"],"keywordsOther":["Net Primary Production","NPP","salt marsh","grassland","vegetation"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Net primary productivity (NPP) was measured as an above ground vegetation sample (cut at ground level) of 50 centimetre (cm) x 25 cm inside grazer exclusion cages during the summer 2013 sampling period (after all above ground vegetation removed from 50 cm x 25 cm area in winter 2013). NPP was calculated from each quadrat by scaling up the mass of the dry vegetation to kg per square metre per year. Vegetation cut in field then dried at 60 degrees Celsius for 72 hours. Results were recorded onto field sheets. These data were transferred into an Excel file and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). ","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:42:01.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2cbe3a8c-1a54-490d-a32d-078564c117b7","10.5285/2cbe3a8c-1a54-490d-a32d-078564c117b7","doi:10.5285/2cbe3a8c-1a54-490d-a32d-078564c117b7"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises net primary productivity (NPP) measured as kilogrammes of dry above-ground vegetation per square metre per year. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (m) (the minimal sampling unit) nested within a hierarchy…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) net primary productivity (NPP) on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Stirling","Durham University","Technical University of Dresden","Weihenstephan-Triesdorf University of Applied Sciences"],"authorFamilyName":["Morley","Donoghue","Van der Maaten-Theunissen","Zang","Jump"],"authorFullName":["Morley, P.","Donoghue, D.","Van der Maaten-Theunissen, M.","Zang, C.","Jump, A."],"authorGivenName":["P.","D.","M.","C.","A."],"authorOrcid":["0000-0002-7503-2520","0000-0002-9931-9083","0000-0002-2942-9180","0000-0002-9843-854X","0000-0002-2167-6451"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/042aqky30","https://ror.org/00gzkxz88"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas of the UNESCO Rhӧn Biosphere Reserve dominated by European beech (Fagus sylvatica) forest. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable the analysis of individual tree and stand level characteristics that influence the response (canopy damage and defoliation) of European beech trees to extreme drought events. Field assessments of individual tree and stand canopy health were carried out within this project collecting data comprising canopy condition assessments and measurements of individual tree size and stand demography.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Morley","Donoghue","Van der Maaten-Theunissen","Zang","Jump"],"fullName":["Morley, P.","Donoghue, D.","Van der Maaten-Theunissen, M.","Zang, C.","Jump, A."],"funder":["Natural Environment Research Council"],"givenName":["P.","D.","M.","C.","A."],"grant":["NE/V00929X/1"],"identifier":"4df17a8f-9854-4b6e-8578-d99fbefb1352","incomingCitationCount":0,"keyword":["Germany","Canopy Condition","Extreme Drought","Forest Health"],"keywordsOther":["Canopy Condition","Extreme Drought","Forest Health"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"Forest inventory data were measured alongside canopy condition following protocol set out in the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests Part IV Visual Assessment of Crown Condition and Damaging Agents. The dataset provided here detailed the complete set of individual tree measurements as measured in the field for 38 sites using 10m fixed radius plots. ","locations":["POLYGON((9.706 50.115, 9.706 50.72, 10.448 50.72, 10.448 50.115, 9.706 50.115))"],"metadataDate":"2026-11-05T13:43:54.000Z","orcid":["0000-0002-7503-2520","0000-0002-9931-9083","0000-0002-2942-9180","0000-0002-9843-854X","0000-0002-2167-6451"],"organisation":["University of Stirling","Durham University","Technical University of Dresden","Weihenstephan-Triesdorf University of Applied Sciences","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4df17a8f-9854-4b6e-8578-d99fbefb1352","10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352","doi:10.5285/4df17a8f-9854-4b6e-8578-d99fbefb1352"],"resourceType":"Dataset","rightsHolder":["University of Stirling","Durham University"],"ror":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/042aqky30","https://ror.org/00gzkxz88","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises forest inventory (diameter at breast height, tree height, social class and relative crown distance) and tree canopy health data (extent of overall damage, discolouration and defoliation) collected in 2021 from sites within core protected areas…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Post-drought forest inventory and tree canopy health data, Rhӧn Biosphere Reserve, Germany, 2021","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Exeter","Swansea University"],"authorFamilyName":["Thompson","Nichols","Cant"],"authorFullName":["Thompson, F.J.","Nichols, H.J.","Cant, M.A."],"authorGivenName":["F.J.","H.J.","M.A."],"authorOrcid":["0000-0001-7581-2204","0000-0002-4455-6065","0000-0002-1530-3077"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contains the genetic identity of parents (maternal and paternal identities and assignment probabilities) identified from DNA extracted from tail tips analysed using the MASTERBAYES program, for individual banded mongooses in a wild population on the Mweya Peninsula, Queen Elizabeth National Park, Uganda between 2000-2019.\n\nA nine generation deep genetic pedigree was constructed from which maternity and paternity assignments were calculated. This data was used to calculate lifetime reproductive success for individuals in the population who were exposed to conflict with rival groups to determine the fitness costs and benefits of intergroup conflict. In addition the type of microsatellite panel used to genotype the DNA samples is recorded.\n","documentType":"GEMINI_DOCUMENT","familyName":["Thompson","Nichols","Cant"],"fullName":["Thompson, F.J.","Nichols, H.J.","Cant, M.A.","Thompson, F."],"funder":["Natural Environment Research Council"],"givenName":["F.J.","H.J.","M.A.","Faye"],"grant":["NE/S000046/1"],"identifier":"f397e842-b411-4256-b507-a4aa4647b914","incomingCitationCount":0,"keyword":["Animal behaviour","Parentage","genetic pedigree","social evolution","banded mongoose","Mungos mungo"],"keywordsOther":["Parentage","genetic pedigree","social evolution","banded mongoose","Mungos mungo"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"DNA was extracted from tail tip samples and genotyped for 35‒ 43 microsatellite loci. Parentage was primarily determined using the MASTERBAYES program. As well as individual genotypes, the program used phenotypic predictors (whether or not a female was recorded as giving birth, if a male was in the offspring’s natal group prior to birth, and the age and quadratic age of both males and females). A 9-generation deep genetic pedigree was constructed from which maternity and paternity assignments were calculated. To compile this dataset, we extracted adults from the pedigree who were alive in our population between 2000 and 2019, and for whom parentage assignments were >=0.9 (for offspring that were genotyped using the full panel of 43 microsatellite markers), or >=0.95 (for offspring that were genotyped using the subset panel of 35 microsatellite markers). This data was used to calculate lifetime reproductive success for individuals in the population who were exposed to conflict with rival groups to determine the fitness costs and benefits of intergroup conflict.","locations":["POLYGON((29.767 -0.26, 29.767 0.196, 30.107 0.196, 30.107 -0.26, 29.767 -0.26))"],"metadataDate":"2026-11-05T14:39:48.000Z","orcid":["0000-0001-7581-2204","0000-0002-4455-6065","0000-0002-1530-3077"],"organisation":["University of Exeter","Swansea University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f397e842-b411-4256-b507-a4aa4647b914","10.5285/f397e842-b411-4256-b507-a4aa4647b914","doi:10.5285/f397e842-b411-4256-b507-a4aa4647b914"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"The data contains the genetic identity of parents (maternal and paternal identities and assignment probabilities) identified from DNA extracted from tail tips analysed using the MASTERBAYES program, for individual banded mongooses in a wild population on the Mweya Peninsula,…","state":"published","temporalExtentText":"Data collected from 2000 to 2019","title":"Parentage assignments from a genetic pedigree of a wild population of banded mongooses in Queen Elizabeth National Park, Uganda, 2000-2019","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","margla"]},{"altTitle":["MaRIUS-G2G-Oudin-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":["0000-0002-0792-5650","0000-0001-5996-6115","0000-0002-5526-1756","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 Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the period 1891 to 2015.\n\nTo aid interpretation, two additional spatial datasets are provided:\n -\tDigitally-derived catchment areas on a 1km x 1km grid\n -\tEstimated 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 (http://www.mariusdroughtproject.org/).","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N.","Bell, V."],"funder":["Natural Environment Research Council"],"givenName":["V.A.","A.C.","A.L.","H.N.","Vicky"],"grant":["NE/L010208/1"],"identifier":"f52f012d-9f2e-42cc-b628-9cdea4fa3ba0","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.org10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and potential evaporation derived from 5km temperature data (Perry and Hollis, 2005, https://doi.org/10.1002/joc.1161) using the method of Oudin et al. (2005; https://doi.org/10.1016/j.jhydrol.2004.08.026). See Supporting Information for more details.\n","locations":["POLYGON((-8.902 49.771, -8.902 58.882, 3.181 58.882, 3.181 49.771, -8.902 49.771))"],"metadataDate":"2026-07-25T18:07:16.000Z","orcid":["0000-0002-0792-5650","0000-0001-5996-6115","0000-0002-5526-1756","0000-0001-7783-4853"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0","10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0","doi:10.5285/f52f012d-9f2e-42cc-b628-9cdea4fa3ba0"],"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 Oudin temperature-based potential evaporation). It provides monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for…","state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & 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(3–4), 335–350. "],"supplementalName":["Marius project website"],"temporalExtentText":"Data collected from 1891 to 2015","title":"Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-monthly]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Pondicherry University","Indian Institute of Technology BHU","Aarupadai Veedu Medical College & Hospital","Imperial College London"],"authorFamilyName":["RU","Suseela","Patharaj","Kumaresan","Pan","Vieira","Sriskandan","Freeman","Giakoumis","Voulvoulis","Selvin","Ragunathan","Muthu"],"authorFullName":["RU, V.P.N.","Suseela, M.N.L.","Patharaj, G.","Kumaresan, T.N.","Pan, S.","Vieira, A.","Sriskandan, S.","Freeman, A.","Giakoumis, T.","Voulvoulis, N.","Selvin, J.","Ragunathan, L.","Muthu, M.S."],"authorGivenName":["Vishnu Prasad Nair","Medapati Nikitha Lakshmi","Gokul","T.N","Sayaree","Ana","Shiranee","Anna","Theodoros","Nick","Jospeh","Latha","M.S"],"authorRor":["https://ror.org/01a3mef16","https://ror.org/01kh5gc44","https://ror.org/02jz4rx70","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets contain information about the physicochemical properties of water samples taken from Pondicherry and Chennai in 2023 and 2024. Water samples were collected from river, lake, canal and tank water bodies in Pondicherry and Chennai, with locations selected due to their proximity to antimicrobial manufacturing sites. The physicochemical properties of each sample were analysed to determine water quality at each site and how this may be impacted by local antimicrobial pollution. Variables such as; temperature, oxidation reduction potential, salinity, pH, dissolved oxygen content, conductivity, resistivity, total dissolved solids, atmospheric pressure and seawater sigma were accounted for.","documentType":"GEMINI_DOCUMENT","familyName":["RU","Suseela","Patharaj","Kumaresan","Pan","Vieira","Sriskandan","Freeman","Giakoumis","Voulvoulis","Selvin","Ragunathan","Muthu"],"fullName":["RU, V.P.N.","Suseela, M.N.L.","Patharaj, G.","Kumaresan, T.N.","Pan, S.","Vieira, A.","Sriskandan, S.","Freeman, A.","Giakoumis, T.","Voulvoulis, N.","Selvin, J.","Ragunathan, L.","Muthu, M.S."],"funder":["Natural Environment Research Council"],"givenName":["Vishnu Prasad Nair","Medapati Nikitha Lakshmi","Gokul","T.N","Sayaree","Ana","Shiranee","Anna","Theodoros","Nick","Jospeh","Latha","M.S"],"grant":["NE/T013184/1"],"identifier":"62fe92d8-db54-4285-9617-573e77a55c4b","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental risk","Chennai","Pondicherry","Puducherry","Physicochemical","AMR","Antimicrobial resistance","India","Antimicrobial manufacturing","Antibiotic manufacturing","Pharmaceutical pollution","Pharmaceutical manufacturing waste","Water pollution"],"keywordsOther":["Chennai","Pondicherry","Puducherry","Water quality","Physicochemical","AMR","Antimicrobial resistance","India","Antimicrobial manufacturing","Antibiotic manufacturing","Pharmaceutical pollution","Pharmaceutical manufacturing waste","Water pollution"],"keywordsTheme":["Water quality","Pollution","Environmental risk"],"licence":"Open government licence","lineage":"Samples were collected following a standardized operating procedure mutually agreed upon by the collaborating partners. For water samples, collection was performed at depths ranging from 1 to 5 meters using a sterile container attached to a pulley system. Control samples were collected from upstream sites selected to represent areas unaffected by pollution from manufacturing sources.  All samples were collected in triplicates to ensure reproducibility and statistical reliability with composite samples created from three sampling points in each location. Duplicate samples were also randomly collected as part of quality control. \n\nParameters were measured in situ using a portable multiparameter Aquaprobe AP-200 with a GPS Aquameter (Aquaread AP 2000).  Initial data entries were recorded manually on paper and subsequently digitized into Excel spreadsheets. No imputation or gap-filling procedures were applied to the dataset. In cases where certain parameters exhibited readings below the detection threshold, the measurement units automatically shifted to a lower metric scale. For example, dissolved oxygen concentrations were recorded in mg/L by default but were represented in µg/L for particularly low-concentration samples. For the sake of consistency and uniformity across the dataset, all such values were converted back to the default unit of mg/L. \n\nSamples were transported to the laboratory on the same day in a refrigerated isothermal container and stored at −20 °C until analysis to preserve their integrity. Upon arrival, the samples were processed immediately for both culture-based microbiological analyses and metagenomic DNA extraction, thereby maintaining sample freshness and minimizing potential degradation. Bacterial isolates obtained from each sampling site were preserved as glycerol stocks and stored at −80°C to maintain viability for future analyses.\n\nDue to a lack of water at the site because of warm conditions, no water samples were collected from PSL10 in 2023. The levels were similarly low the following year, so this site was excluded from water and physicochemical analysis.","locations":["POLYGON((79.631 11.877, 79.631 12.692, 80.198 12.692, 80.198 11.877, 79.631 11.877))"],"metadataDate":"2026-11-05T13:31:21.000Z","organisation":["Pondicherry University","Indian Institute of Technology BHU","Aarupadai Veedu Medical College & Hospital","Imperial College London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/62fe92d8-db54-4285-9617-573e77a55c4b","10.5285/62fe92d8-db54-4285-9617-573e77a55c4b","doi:10.5285/62fe92d8-db54-4285-9617-573e77a55c4b"],"resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/01a3mef16","https://ror.org/01kh5gc44","https://ror.org/02jz4rx70","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets contain information about the physicochemical properties of water samples taken from Pondicherry and Chennai in 2023 and 2024. Water samples were collected from river, lake, canal and tank water bodies in Pondicherry and Chennai, with locations selected…","state":"published","supplementalDescription":["Whole-genome sequencing of multi-drug-resistant bacteria","Metagenomic data"],"temporalExtentText":"Data collected from 2023 to 2024","title":"Physicochemical parameters of Chennai and Pondicherry water samples near antimicrobial manufacturing sites, India, 2023-2024","topic":["0/Water quality/","0/Pollution/","0/Environmental risk/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Met Office"],"authorFamilyName":["George","Weedon","Hayman","Gerard"],"authorFullName":["George, C.T.","Weedon, G.P.","Hayman, G.","Gerard, F.F."],"authorGivenName":["C.T.","G.P.","G.","F.F."],"authorOrcid":["0000-0001-6318-2196","0000-0003-1262-9984","0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01ch2yn61"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for Meso- and South America. The values given represent a conservative measure of the amplitude after the annual cycle was identified and tested for significance by means of the Lomb-Scargle Transform. The amplitude was derived for four sets of vegtation indices (VI) time-series based on the MODIS VI products (500m MOD13A1; 1000m MOD13A2). The amplitude value can be interpreted as the degree in which the life cycles of individual leaves of plants observed within a pixel are synchronised. In other words, given the local variation in environment and climate and the diversity of species leaf life cycle strategies, an image pixel will represent vegetation communities behaving between two extremes: \n* well synchronized, where the leaf bud burst and senescence of the individual plants within the pixel occurs near simultaneously, yielding a high amplitude value. Often this matches with an area of low species diversity (e.g. arable land) or with areas where the growth of all plants is controlled by the same driver (e.g. precipitation).\n* poorly synchronized, where the leaf bud burst and senescence of individual plants within a pixel occurs at different times of the year, yielding a low amplitude value. Often this matches with an area of high species diversity and/or where several drivers could be controlling growth.","documentType":"GEMINI_DOCUMENT","familyName":["George","Weedon","Hayman","Gerard"],"fullName":["George, C.T.","Weedon, G.P.","Hayman, G.","Gerard, F.F.","George, C."],"givenName":["C.T.","G.P.","G.","F.F.","Charles"],"identifier":"dae416b4-3762-45bd-ae14-c554883d482c","incomingCitationCount":1,"keyword":["Phenology","vegetation index (VI)","normalized difference vegetation index (NDVI)","enhanced vegetation index (EVI)"],"keywordsOther":["vegetation index (VI)","normalized difference vegetation index (NDVI)","enhanced vegetation index (EVI)"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"The key underlying method is the Lomb-Scargle (LS) a well established and efficient methodology to analyse time series data. The LS can be used for the detection of regular cycles, even when hidden in a noisy background and when the time series in question contains data gaps. The LS estimates a power spectrum that indicates the average variance in a time series at different time scales or frequencies. Standard linear de-trending of the data before application of the LS allows an analysis of a 'stationary' time series as the mean and variance should ideally be more-or-less constant.\n\nWe used two approaches to evaluate the amplitude values. The first involved comparing the full extent of the amplitude data grids with the independent International Geosphere-Biosphere Programme (IGBP) land cover map. This was done with histograms showing the distribution of the amplitude values found within each of the IGBP cover classes. The second approach compared published in situ site observations that describe canopy leaf life cycles through leaf flushing and falling, LAI and litter fall or other observations, with the corresponding amplitude values of these sites.\n","locations":["POLYGON((-120.685 -58.002, -120.685 33.843, -32.091 33.843, -32.091 -58.002, -120.685 -58.002))"],"metadataDate":"2026-07-25T14:22:54.000Z","orcid":["0000-0001-6318-2196","0000-0003-1262-9984","0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","Met Office","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dae416b4-3762-45bd-ae14-c554883d482c","10.5285/dae416b4-3762-45bd-ae14-c554883d482c","doi:10.5285/dae416b4-3762-45bd-ae14-c554883d482c"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/01ch2yn61","https://ror.org/04xw4m193"],"shortenedDescription":"The leaf phenology product presented here shows the amplitude of annual cycles observed in MODIS (Moderate Resolution Imaging Spectroradiometer) normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) 16-day time-series of 2000 to 2013 for…","state":"published","temporalExtentText":"Data collected from 2000 to 2013","title":"Leaf phenology synchrony for Meso- and South America v2","topic":["0/Phenology/"],"version":2.0,"view":["public","phtr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Geography Markup Language (gml)"],"description":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fdriCategory":["Upper Severn","Hydrology"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"b5c24a80-af3b-48db-91cd-c796ba5ecc36","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn","Floods and Droughts Digital Research Infrastructure (FDRI)","Hydrology","Water quality","hydrochemistry"],"keywordsOther":["hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)","Hydrology"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Non-Open government licence","lineage":"The Plynlimon river network has been digitised from scanned topographic maps of Plynlimon Catchment Areas. The topographic maps references are: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas. Sheet No. 1. Scale 1:10000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-09-01T17:43:49.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b5c24a80-af3b-48db-91cd-c796ba5ecc36"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","state":"published","temporalExtentText":"Data collection started in 1968","title":"Plynlimon research catchments: river network","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dick","Garnett","Jones","Karim","Sundufu","Wadsworth","Okoni-Williams"],"authorFullName":["Dick, J.","Garnett, T.","Jones, S.","Karim, A.B.","Sundufu, A.J.","Wadsworth, R.A.","Okoni-Williams, A."],"authorGivenName":["J.","T.","S.","A.B.","A.J.","R.A.","A."],"authorOrcid":["0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise measured heights of five species of trees after 2.5 years growth between June 2007 and November 2009 in plots reclaimed using a variety of planting techniques and surface applications following mining for rutile in Lanti South, Sierra Leone, West Africa. Eight 25 by 25 metres plots were divided into four squares and four rectangles and planted in June 2007. The five tree species included Gmelina (Gmelina arborea), mango (Mangifera indica), cashew (Anacardium occidentale), citrus (Citrus sinensis) and monkey apple (Anisophyllea laurina). Five rows of trees were planted at a spacing of 5 meters in each direction to minimize above and below ground competition. Four planting treatments were tested: 1 bucket of compost per planting hole, 1 bucket of topsoil, 1 bucket of a 50:50 mix of compost and topsoil and a control. Surface treatments included 2 cm of compost, 5 cm of mulch, 2 cm of top-soil and a control.","documentType":"GEMINI_DOCUMENT","familyName":["Dick","Garnett","Jones","Karim","Sundufu","Wadsworth","Okoni-Williams"],"fullName":["Dick, J.","Garnett, T.","Jones, S.","Karim, A.B.","Sundufu, A.J.","Wadsworth, R.A.","Okoni-Williams, A."],"givenName":["J.","T.","S.","A.B.","A.J.","R.A.","A.","Jan"],"identifier":"d4c6029a-464c-49d0-bcc7-75757cab2b3a","incomingCitationCount":1,"keyword":["Sierra Leone","Moyamba District","Sierra Rutile Concession Area","West Africa","sand tailings","rutile","mango","cashew","citrus","orange","monkey apple","land restoration","Gmelina arborea","Anacardium occidentale","Anisophyllea laurina","Mangifera indica","Citrus sinensis","titanium dioxide","mining"],"keywordsOther":["sand tailings","rutile","mango","cashew","citrus","orange","monkey apple","land restoration","Gmelina arborea","Anacardium occidentale","Anisophyllea laurina","Mangifera indica","Citrus sinensis","titanium dioxide","mining"],"keywordsPlace":["Sierra Leone","Moyamba District","Sierra Rutile Concession Area","West Africa"],"licence":"Open government licence","lineage":"Trees were planted at a spacing of 5 meters (in each direction) to minimize the potential for above ground and below ground competition. The substrate (soil) that they are planted in is not very hospitable for plants as it consists of very coarse quartz sand the finer material (silts and clays) are removed as part of the initial processing of the rutile. The coarse nature of the sand and the high rainfall (~3 meters per year) means that leach rates are potentially high. Nutrient levels are low with an average concentration of Nitrogen of 0.0027% and an average soil Carbon of 0.073%; these values are barely 1% of the pre-disturbance conditions (typical undisturbed soils in the area have Nitrogen ~0.12% and Carbon ~4%). Eight (8) rehabilitation plots have been set out at Lanti South (7 deg 41' N, 12 deg 17' W). Each plot consists of four 25 by 25 meter compartments. Four plots (number 1 to 4) are square and four (5 to 8) are rectangular. Each compartment was planted in June 2007 with five rows of trees (one species per row) at a 5 meter by 5 meter spacing. Four planting treatments were tested: -\t1 bucket of compost per planting hole, -\t1 bucket of topsoil, -\t1 bucket of a 50:50 mix of compost and topsoil -\ta control. The \"standard bucket\" used is the local \"34 centimeter\" galvanized steel bucket and it contains 17 liters to brim full. The standard planting hole was 42 cm x 42 cm and 21 cm deep; the dimensions were chosen based on two spade blades wide and one deep when using the typical (standard) round mouth shovel sold in Sierra Leone. All trees in a compartment have the same planting treatment. Four surface treatments were applied; -\t2 cm of compost, -\t5 cm of mulch, -\t2 cm of top-soil or -\tnothing (control) All four compartments in a plot have the same surface treatment. Planting and maintenance of the plots was carried out by the mining company (Sierra Rutile Ltd.) who hired labour and purchased compost from the local communities. Compost was produced by the local communities as part of a \"decentralized business model\" (in essence this is a form of \"out-sourcing\"). The compost contained many weed and vegetable seeds that resulted in very thick undergrowth on plots 3 and 7 that has overwhelmed the Monkey apple and citrus plants and may shortly do the same for the mangos. Dead or missing trees are recorded with a height of zero. No beating up or secondary planting was performed. Some trees were watered during the first dry season but we have no records of quantity or timing. Recording was done in two person teams, one measuring and the other recording. Measurements were made from the ground to the highest apical bud. It is the responsibility of the recorder to check that all measurements have been made. By 2009 there were some trees which were tall enough to be difficult to measure accurately with a simple tape measure, while the recorder can guide the measurer when they think the tape is properly vertical, making sure it is exactly level with the apical bud is error prone. In addition they help the person measuring for \"lost\" trees (either dead, missing, or smothered). Although the plots and compartments were initially marked by sign boards several of these have disappeared and some have been (confusingly) relocated. The surface treatment is always obvious but the planting treatment is sometimes cross checked in the field against the plot location maps.","locations":["POLYGON((-13 7, -13 8, -12 8, -12 7, -13 7))"],"metadataDate":"2026-09-15T08:38:56.000Z","orcid":["0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1280318997906","CEH:EIDC::1280318997906","https://catalogue.ceh.ac.uk/id/d4c6029a-464c-49d0-bcc7-75757cab2b3a","10.5285/d4c6029a-464c-49d0-bcc7-75757cab2b3a","doi:10.5285/d4c6029a-464c-49d0-bcc7-75757cab2b3a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise measured heights of five species of trees after 2.5 years growth between June 2007 and November 2009 in plots reclaimed using a variety of planting techniques and surface applications following mining for rutile in Lanti South, Sierra Leone, West Africa.…","state":"published","temporalExtentText":"Data collected from 1997 to 1999","title":"Growth of five species of trees on experimental plots on sand tailings left after mining for rutile in Sierra Leone","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Woodcock","Oliver","Newbold","Gweon","Roy","Pywell"],"authorFullName":["Woodcock, B.A.","Oliver, A.E.","Newbold, L.K.","Gweon, H.S.","Roy, D.B.","Pywell, R.F."],"authorGivenName":["B.A. ","A.E.","L.K.","H.S.","D.B.","R.F."],"authorOrcid":["0000-0003-0300-9951","0000-0003-4923-277X","0000-0001-8895-1406","0000-0002-6218-6301","0000-0002-5147-0331","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera).  This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme (https://honey-monitoring.ac.uk/). All data provided is from the first full year of the scheme in 2019. \n\nWorking in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed.\n\nThe Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Woodcock","Oliver","Newbold","Gweon","Roy","Pywell"],"fullName":["Woodcock, B.A.","Oliver, A.E.","Newbold, L.K.","Gweon, H.S.","Roy, D.B.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["B.A. ","A.E.","L.K.","H.S.","D.B.","R.F."],"grant":["NE/N018125/1"],"identifier":"e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","incomingCitationCount":0,"keyword":["United Kingdom","Agriculture","Biodiversity","Pollinators","Honey","DNA Metabarcoding","Forage plants","National Honey Monitoring Scheme","Assist","Apis mellifera","Honeybee","pollen","forage crop"],"keywordsOther":["Honey","DNA Metabarcoding","Forage plants","National Honey Monitoring Scheme","Assist","Apis mellifera","Honeybee","pollen","forage crop"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Agriculture","Biodiversity","Pollinators"],"licence":"Open government licence","lineage":"All honey samples were submitted following an application though the National Honey Monitoring Scheme online portal which required minimum meta-data on site location and sample date which was verified.   This included in some cases additional data on hive health metrics.  DNA meta-barcoding to rapidly process samples to identify plant species.  Quality assurance of the DNA metabarcoding was delivered through operational deployment of sophisticated protocols for barcoding and interpreting large volumes of honey samples. To do this we developed the HONEYPI pipeline implemented in python 2.7 and is open access (https://github.com/hsgweon/honeypi).  The HONEYPI pipeline is divided into several parts as follows: 1) the raw amplicon sequences are quality filtered and adapters removed; 2) DADA2 pipeline is subsequently used to generate an Amplicon Sequence Variant (ASV) abundance table containing chimera-removed, high-quality error-corrected sequences. 3). For each ASV, conserved regions flanking ITS2 are removed; and (4) resulting sequences taxonomically classified using the naive Bayesian classifier against in-house ITS2 database.  Since HONEYPI uses ASVs rather than clusters of sequences for classification, it allows combining of ASV tables, i.e. data from two or more separate sequencing runs can be merged without re-clustering sequences. \n\nA full open access methodological paper describing this approach is given in Oliver et al (2021) MethodsX, 8, 101303 (https://doi.org/10.1016/j.mex.2021.101303)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:51:39.000Z","orcid":["0000-0003-0300-9951","0000-0003-4923-277X","0000-0001-8895-1406","0000-0002-6218-6301","0000-0002-5147-0331","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","doi:10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera).  This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK…","state":"published","supplementalDescription":["Oliver, A. E., Newbold, L. K., Gweon, H. S., Read, D. S., Woodcock, B. A., & Pywell, R. F. (2021). Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme. In MethodsX (Vol. 8, p. 101303). Elsevier BV"],"supplementalName":["National Honey Monitoring Scheme website"],"temporalExtentText":"Data collected from 2019 to 2019","title":"Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019","topic":["0/Agriculture/","0/Biodiversity/","0/Pollinators/"],"version":1.0,"view":["public","danor"]},{"altTitle":["Project name Perma-Hydro-C ('HYDRA')","NERC Arctic programme"],"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Tetzlaff","Lessels","Wookey"],"authorFullName":["Tetzlaff, D.","Lessels, J.","Wookey, P."],"authorGivenName":["D.","J.","P."],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise pH and bulk density measurements (location (longitude, latitude), depth, bulk density) for multiple soil profiles in the SikSik catchment, North West Territories, Canada. Samples were collected along a transect in September 2014. Soil samples were taken near additional soil pits. Soil depth and sampling location (latitude and longitude) was recorded. Bulk density was determined according to Blake and Hartge (1986). pH was determined with the 1:5 soil:water suspension method (see supporting documentation).\n\nThe data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Tetzlaff","Lessels","Wookey","Sprenger"],"fullName":["Tetzlaff, D.","Lessels, J.","Wookey, P.","Sprenger, M."],"givenName":["D.","J.","P.","Matthias"],"identifier":"a37e6aa4-b003-49bd-9a16-619a7d0dd714","incomingCitationCount":0,"keyword":["Canada","Siksik catchment","North West Territories","bulk density","soil depth","pH"],"keywordsOther":["bulk density","soil depth","pH"],"keywordsPlace":["Canada","Siksik catchment","North West Territories"],"licence":"Open government licence","lineage":"Soil samples were collected in September 2014 along a transect in the Siksik catchment, North West Territories, Canada (Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres). Soil pH and bulk density (in grammes per cubic centimetre) data was produced from the samples.","locations":["POLYGON((-141.002 41.681, -141.002 83.111, -52.62 83.111, -52.62 41.681, -141.002 41.681))"],"metadataDate":"2026-09-15T08:45:00.000Z","organisation":["University of Aberdeen","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a37e6aa4-b003-49bd-9a16-619a7d0dd714","10.5285/a37e6aa4-b003-49bd-9a16-619a7d0dd714","doi:10.5285/a37e6aa4-b003-49bd-9a16-619a7d0dd714"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise pH and bulk density measurements (location (longitude, latitude), depth, bulk density) for multiple soil profiles in the SikSik catchment, North West Territories, Canada. Samples were collected along a transect in September 2014. Soil samples were taken…","state":"published","supplementalName":["The NERC Arctic Research Programme","Hydrological Controls on Carbon Cycling and Greenhouse Gas Budgets (HYDRA) website","PROJECT HYDRA blog"],"temporalExtentText":"Data collected from 2014 to 2014","title":"Soil pH and bulk density depth profiles in the Siksik catchment, North West Territories, Canada","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Akinbobola","Quilliam"],"authorFullName":["Akinbobola, A.","Quilliam, R."],"authorGivenName":["Ayorinde ","Richard"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature regimes in simulated environments and their survival was quantified by estimating the viability of exposed cells at intervals. The impact of exposure to environmental stress on the virulence of C. auris cells was also evaluated based on their virulence in Galleria mellonella larvae. The impact of pre-exposure to clinical and environmentally relevant temperatures on the susceptibility of C. auris strains to medical and agricultural azoles was also evaluated. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V005847/1)","documentType":"GEMINI_DOCUMENT","familyName":["Akinbobola","Quilliam"],"fullName":["Akinbobola, A.","Quilliam, R.","Ayorinde Akinbobola"],"funder":["Natural Environment Research Council"],"givenName":["Ayorinde ","Richard"],"grant":["NE/V005847/1"],"identifier":"722e45d2-0034-43ea-a4af-c4bfcc337ef0","incomingCitationCount":0,"keyword":["Environmental risk","Persistence","Environmental UV","Candida auris"],"keywordsOther":["Persistence","Environmental UV","Candida auris"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"This dataset was collected from microcosm experiments to evaluate the potential of Candida auris to survive selected environmental stress. The viability of Candida auris strains was estimated based on their colony-forming units after exposure to environmental UV stress or low cycling temperature. The impact of selected environmental stress on the virulence of Candida auris was also evaluated based on the survival of Galleria mellonella larvae infected with Candida auris cells exposed to selected stress compared to the survival of Galleria mellonella larvae infected with Candida auris cells not exposed to environmental stress. The impact of pre-exposure to different temperatures on the antifungal susceptibility of Candida auris was also evaluated by comparing the colony-forming units of Candida auris cells pre-exposed to different temperatures after treatment with different concentrations of fluconazole or difenoconazole. To ensure the quality of data generated, each experiment inluded at least three replicates and experimental controls.  ","metadataDate":"2026-11-05T14:32:33.000Z","organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/722e45d2-0034-43ea-a4af-c4bfcc337ef0","10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0","doi:10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature…","state":"published","title":"Survival and virulence of Candida auris under selected environmental stress","topic":["0/Environmental risk/"],"version":1.0,"view":["public","shar1"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}