{"numFound":2826,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/documents","nextPage":"http://catalogue.ceh.ac.uk/documents?page=2","results":[{"publicationDate":"2018-03-21T00:00:00.000+00:00","metadataDate":"2026-03-26T13:36:08.000+00:00","authorAffiliation":["University of Sheffield","University of York","University of St Andrews"],"authorGivenName":["D.","P.J.","J.R.","L.","R.E.","J.P","J.P.W.","D.J."],"authorFamilyName":["Johnson","Vandenkoornhuyse","Leake","Gilbert","Booth","Grime","Young","Read"],"authorFullName":["Johnson, D.","Vandenkoornhuyse, P.J.","Leake, J.R.","Gilbert, L.","Booth, R.E.","Grime, J.P.","Young, J.P.W.","Read, D.J."],"authorRor":["https://ror.org/05krs5044","https://ror.org/04m01e293","https://ror.org/02wn5qz54"],"catalogue":"eidc","description":"These arbuscular mycorrhizal (AM) fungi diversity data were collected in 2000 as part of an investigation in an unfertilized limestone grassland soil supporting different synthesized vascular plant assemblages that had developed for three years.  The experimental treatments comprised: bare soil; monocultures of the non mycotrophic sedge Carex flacca; monocultures of the mycotrophic grass Festuca ovina; and a species-rich mixture of four forbs, four grasses and four sedges. The experiment was undertaken in microcosms, set up at the University of Sheffield.  The diversity of AM fungi was analysed in roots of Plantago lanceolata bioassay seedlings using terminal-restriction fragment length polymorphism (T-RFLP).\n\nThe data were collected during a project funded under the NERC Soil Biodiversity Thematic Programme, established in 1999.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"96af6c13-ef0a-4da5-9686-690a16e05768","incomingCitationCount":0,"givenName":["D.","P.J.","J.R.","L.","R.E.","J.P","J.P.W.","D.J.","Andy"],"familyName":["Johnson","Vandenkoornhuyse","Leake","Gilbert","Booth","Grime","Young","Read","Sier"],"fullName":["Johnson, D.","Vandenkoornhuyse, P.J.","Leake, J.R.","Gilbert, L.","Booth, R.E.","Grime, J.P.","Young, J.P.W.","Read, D.J.","Sier, A."],"keyword":["Microcosm","T-RFLP ","terminal-restriction fragment length polymorphism","Arbuscular mycorrhizal fungi ","AM fungi"],"keywordsInstrument":["Microcosm"],"keywordsOther":["T-RFLP ","terminal-restriction fragment length polymorphism","Arbuscular mycorrhizal fungi ","AM fungi"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999.  Samples were collected by students and staff during the microcosm experiment before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","organisation":["University of Sheffield","University of York","University of St Andrews","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/96af6c13-ef0a-4da5-9686-690a16e05768","10.5285/96af6c13-ef0a-4da5-9686-690a16e05768","doi::10.5285/96af6c13-ef0a-4da5-9686-690a16e05768"],"availability":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/05krs5044","https://ror.org/04m01e293","https://ror.org/02wn5qz54","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["Johnson, D., Vandenkoornhuyse, P.J., Leake, J.R., Gilbert, L., Booth, R.E., Grime, J.P., Young, J.P.W. and Read, D.J., 2004. Plant communities affect arbuscular mycorrhizal fungal diversity and community composition in grassland microcosms. New phytologist, 161(2), pp.503-515.","Website for the NERC Soil Biodiversity Programme \n","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 "],"title":"Arbuscular mycorrhizal fungi diversity data from a grassland microcosm experiment [NERC Soil Biodiversity Programme]","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clamw"],"shortenedDescription":"These arbuscular mycorrhizal (AM) fungi diversity data were collected in 2000 as part of an investigation in an unfertilized limestone grassland soil supporting different synthesized vascular plant assemblages that had developed for three years.  The experimental treatments..."},{"publicationDate":"2025-09-30T00:00:00.000+00:00","metadataDate":"2026-04-14T10:28:06.000+00:00","authorAffiliation":["University of Exeter"],"authorGivenName":["T","R"],"authorFamilyName":["Tregenza","Rodríguez-Muñoz"],"authorFullName":["Tregenza, T.","Rodríguez-Muñoz, R."],"authorOrcid":["https://orcid.org/0000-0003-4182-2222","https://orcid.org/0000-0002-6067-845X"],"authorRor":["https://ror.org/03yghzc09"],"catalogue":"eidc","description":"We provide basic morphological and life history data (size, lifespan, emergence date) and behavioural data (number of matings, fights and burrow use) on a population of wild field crickets (Gryllus campestris) in a meadow in N. Spain, from May to June 2022.\nCrickets were individually tagged with a 2 letter code as they became adult so they could be recognised on the video recorded 24 hours a day using infra-red video cameras that monitored up to 140 burrows simultaneously. Video was watched manually by a single observer who recorded the traits listed above. Crickets were weighed using a 0.1mg accurate balance on the day of their emergence to adulthood. Their emergence was observed using the video cameras. Their lifespan was determined by observation of their being killed by a predator on the video camera, or because they disappeared from observation and were not seen subsequently. Matings, fights and burrows used were directly observed from the video. These data were acquired to assess behavioural thermoregulation in crickets in the wild and were collected by researchers at the University of Exeter.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V000772/1"],"identifier":"caddc526-9d70-4c06-9d9a-abb73836f609","incomingCitationCount":0,"givenName":["T","R"],"familyName":["Tregenza","Rodríguez-Muñoz"],"fullName":["Tom Tregenza","Tregenza, T.","Rodríguez-Muñoz, R."],"keyword":["Animal behaviour","Climate and climate change","Gryllus campestris","behaviour","insect"],"keywordsTheme":["Animal behaviour","Climate and climate change"],"keywordsOther":["Gryllus campestris","behaviour","insect"],"licence":"Open government licence","lineage":"To obtain the life history and behavioural data, we used adult crickets reared under seminatural conditions during their nymphal development. Rearing took place in plastic boxes kept in a meadow in North Spain until their emergence as adults, when they were weighed (0.01 g), tagged with an individual unique code and released in the same meadow. We observed their behaviour using 140 IR cameras monitoring their burrows 24/7. We recorded the video using dedicated software that allowed us to playback multiple cameras at once to watch it and record behavioural events associated to individual crickets and burrows.","locations":["POLYGON((-6.686 42.88, -6.686 43.66, -4.439 43.66, -4.439 42.88, -6.686 42.88))"],"orcid":["https://orcid.org/0000-0003-4182-2222","https://orcid.org/0000-0002-6067-845X"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/caddc526-9d70-4c06-9d9a-abb73836f609","10.5285/caddc526-9d70-4c06-9d9a-abb73836f609","doi::10.5285/caddc526-9d70-4c06-9d9a-abb73836f609"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"state":"published","title":"Behavioural data on individual wild adult field crickets (Gryllus campestris) in a meadow in Northern Spain in May and June, 2022","topic":["0/Animal behaviour/","0/Climate and climate change/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","glenn"],"shortenedDescription":"We provide basic morphological and life history data (size, lifespan, emergence date) and behavioural data (number of matings, fights and burrow use) on a population of wild field crickets (Gryllus campestris) in a meadow in N. Spain, from May to June 2022.\nCrickets..."},{"publicationDate":"2022-10-18T00:00:00.000+00:00","metadataDate":"2026-04-14T10:32:14.000+00:00","authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorGivenName":["L.","J.","K.N."],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"givenName":["L.","J.","K.N."],"familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","Hydrology"],"keywordsOther":["flood","hydrology"],"licence":"Open government licence","lineage":"Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.","locations":["POLYGON((101.831 8.186, 101.831 23.554, 110.752 23.554, 110.752 8.186, 101.831 8.186))"],"orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)","Fathom","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60","doi::10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Sampson et al ","Neal et al ","Hawker et al "],"title":"Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"dataFormat":["TIFF"],"view":["public","margla"],"shortenedDescription":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000..."},{"publicationDate":"2020-02-07T00:00:00.000+00:00","metadataDate":"2026-04-14T10:33:04.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","E.","H.","H.T.","P."],"authorFamilyName":["Adams","Tipping","Feuchtmayr","Carter","Keenan"],"authorFullName":["Adams, J.","Tipping, E.","Feuchtmayr, H.","Carter, H.T.","Keenan, P."],"authorOrcid":["https://orcid.org/0000-0003-1825-0537","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems in the UK, and site names and locations. Samples were also collected at set intervals throughout the year, from mesocosm experiments simulating natural lake ecosystems. Data on measured and modelled DOC concentration, chlorophyll concentration, pH and conductivity for the mesocosms sampled, are also included.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"6abbc357-1b69-49b4-be28-a77eb7bc6c7f","incomingCitationCount":0,"givenName":["J.","E.","H.","H.T.","P.","Jess"],"familyName":["Adams","Tipping","Feuchtmayr","Carter","Keenan"],"fullName":["Adams, J.","Tipping, E.","Feuchtmayr, H.","Carter, H.T.","Keenan, P."],"keyword":["Environmental survey","dissolved organic carbon","chlorophyll","freshwater"],"keywordsTheme":["Environmental survey"],"keywordsOther":["dissolved organic carbon","chlorophyll","freshwater"],"licence":"Open government licence","lineage":"We collected surface water samples representative of different states of eutrophication (defined by concentration of chlorophyll a [Chl-a]) and DOM sources, from catchments in the north of England during summer and autumn 2014 and 2015. Additionally, we collected samples from 4 mesocosm experiments from the CEH aquatic mesocosm facility (CAMF; http://www.ceh.ac.uk/our-science/research-facility/aquatic-mesocosm-facility). The four mesocosms represented a range of treatments, including heating and nutrient addition. Identification of the dominant algal classes was conducted, which included Chlorophyceae and Cyanophyceae, with a bloom of Euglena in mesocosm 7 in the early summer. For our analyses, a 500 mL sample was collected from the 4 mesocosms, and 1L samples from the natural study sites, in pre-rinsed vessels.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-1825-0537","https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6abbc357-1b69-49b4-be28-a77eb7bc6c7f","10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f","doi::10.5285/6abbc357-1b69-49b4-be28-a77eb7bc6c7f"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Measured and modelled dissolved organic carbon (DOC) concentrations, and measured chlorophyll concentration, for UK freshwaters and freshwater mesocosms, 2014-2015","topic":["0/Environmental survey/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clwe"],"shortenedDescription":"This dataset includes measured DOC concentration, and modelled DOC concentration derived from UV-visible absorbance spectra. We also include measured chlorophyll concentration, pH and conductivity. The natural water samples were collected from freshwater ecosystems..."},{"publicationDate":"2013-06-25T00:00:00.000+00:00","metadataDate":"2026-03-09T17:41:43.000+00:00","authorAffiliation":["National Museums Scotland","University of Lethbridge","University of the West of Scotland","The Natural History Museum","University of Manchester","Imperial College London","University of Abertay"],"authorGivenName":["S. A.","A. N.","M. A.","E.","P. M.","A.","R.","R. L.","P."],"authorFamilyName":["Walsh","Iwaniuk","Knoll","Bourdon","Barrett","Milner","Nudds","Abel","Dello Sterpaio"],"authorFullName":["Walsh, S.A.","Iwaniuk, A.N.","Knoll, M.A.","Bourdon, E.","Barrett, P.M.","Milner, A.","Nudds, R.","Abel, R.L.","Dello Sterpaio, P."],"authorRor":["https://ror.org/00pxfwe85","https://ror.org/044j76961","https://ror.org/027m9bs27","https://ror.org/041kmwe10","https://ror.org/04mwwnx67"],"catalogue":"eidc","description":"This dataset comprises cast reconstructions of brain cavity space in 60 extant avian species, derived from X-ray micro computed-tomography scan image stacks. Each reconstruction was made using Materialise Mimics 14.11 to create volumetric models (brain cavity casts) that were then transformed into the polygon mesh stereolithograph (STL) files archived here. Brain cavity cast models are in most cases accompanied by casts of main vascular features (e.g., carotid arteries) and the olfactory nerves (CN I). A data file (Data_TableComma Separated Values) based on values reported in Table 1 of Walsh et al. (2013: doi:10.1371/journal.pone.0067176) is included that records volume values used in the original analysis, and coding of cerebellar flocculus morphology.","documentType":"GEMINI_DOCUMENT","identifier":"4e15f483-5b05-409e-acc0-5117fc24e90b","incomingCitationCount":1,"givenName":["Stig","S. A.","A. N.","M. A.","E.","P. M.","A.","R.","R. L.","P."],"familyName":["Walsh","Iwaniuk","Knoll","Bourdon","Barrett","Milner","Nudds","Abel","Dello Sterpaio"],"fullName":["Walsh, S.","Walsh, S.A.","Iwaniuk, A.N.","Knoll, M.A.","Bourdon, E.","Barrett, P.M.","Milner, A.","Nudds, R.","Abel, R.L.","Dello Sterpaio, P."],"keyword":["Evolutionary ecology","Animal phylogenetics","biological locomotion","bird flight","dinosaurs","paleobiology","vision","bird"],"keywordsTheme":["Evolutionary ecology"],"keywordsOther":["Animal phylogenetics","biological locomotion","bird flight","dinosaurs","paleobiology","vision","bird"],"licence":"Open government licence","lineage":"Data were collected from avian osteological specimens held in the collections of National Museums Scotland, Edinburgh, and the Natural History Museum, London. These data were derived from X-ray micro-CT scans conducted using Nikon Metrology HMX ST 225 scanners at the University of Abertay, Dundee and the Natural History museum at resolutions of 12-149 µm. Voxel segmentation of brain cavity casts was conducted using Materialise Mimics 14.11 by two team members and volume values collected from these segmentations.","organisation":["National Museums Scotland","University of Lethbridge","University of the West of Scotland","The Natural History Museum","University of Manchester","Imperial College London","University of Abertay","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["10.5285/4e15f483-5b05-409e-acc0-5117fc24e90b","doi::10.5285/4e15f483-5b05-409e-acc0-5117fc24e90b","https://catalogue.ceh.ac.uk/id/4e15f483-5b05-409e-acc0-5117fc24e90b"],"availability":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/00pxfwe85","https://ror.org/044j76961","https://ror.org/027m9bs27","https://ror.org/041kmwe10","https://ror.org/04mwwnx67","https://ror.org/04xw4m193"],"state":"published","title":"Digital 3D models and measurements of avian brain cavity, blood vessel and nerve endocasts","topic":["0/Evolutionary ecology/"],"version":1.0,"dataFormat":["STL ","Comma-separated values (CSV)"],"view":["public","kath"],"shortenedDescription":"This dataset comprises cast reconstructions of brain cavity space in 60 extant avian species, derived from X-ray micro computed-tomography scan image stacks. Each reconstruction was made using Materialise Mimics 14.11 to create volumetric models (brain cavity casts)..."},{"publicationDate":"2018-03-12T00:00:00.000+00:00","metadataDate":"2026-03-26T13:36:05.000+00:00","authorAffiliation":["British Geological Survey"],"authorGivenName":["J.P.","B.P.","L."],"authorFamilyName":["Bloomfield","Marchant","Wang"],"authorFullName":["Bloomfield, J.P.","Marchant, B.P.","Wang, L."],"authorRor":["https://ror.org/04a7gbp98"],"catalogue":"eidc","description":"Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater levels have been estimated using a non-parametric normal scores transform of groundwater level data for each calendar month. Probability estimates of an SGI being less than 0, -1, -1.5 and -2 are also provided. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L010151/1 "],"identifier":"d92c91ec-2f96-4ab2-8549-37d520dbd5fc","incomingCitationCount":3,"givenName":["John","J.P.","B.P.","L."],"familyName":["Bloomfield","Marchant","Wang"],"fullName":["Bloomfield, J.","Bloomfield, J.P.","Marchant, B.P.","Wang, L."],"keyword":["United Kingdom","Historic Droughts","Droughts","Water scarcity","Drought inventory","Drought catalogue","Drought indicator","SGI","Standardised Groundwater level Index","Borehole"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Historic Droughts"],"keywordsOther":["Droughts","Water scarcity","Drought inventory","Drought catalogue","Drought indicator","SGI","Standardised Groundwater level Index","Borehole"],"licence":"Open government licence","lineage":"Monthly standardised groundwater levels have been estimated using a non-parametric normal scores transform for the data for each calendar month. The normal scores transform assigns a value to observations, in this case monthly reconstructed groundwater levels (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16), based on their rank within a data set, in this case groundwater levels for a given month from a given hydrograph. The normal scores transform is undertaken by applying the inverse normal cumulative distribution function to n equally spaced pi values ranging from 1/(2 n) to 1 - 1/(2 n). The values that result are the SGI values.\n\nThe quantification of uncertainty in the reconstructed groundwater levels for a given site is based on the Generalised Likelihood Uncertainty Estimation (GLUE) methodology. Parameter sets are considered to be behavioural if their Nash Sutcliffe Efficiency score exceeds 0.5. For each site, all of the behavioural groundwater level reconstructions are converted to SGI series. The probability of the SGI being within an interval on a particular date is equal to the proportion of these behavioural SGI series that fall within this interval and the probability of SGI being less than 0, -1, -1.5 and -2 is reported.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["British Geological Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d92c91ec-2f96-4ab2-8549-37d520dbd5fc","10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc","doi::10.5285/d92c91ec-2f96-4ab2-8549-37d520dbd5fc"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"state":"published","title":"Historic Standardised Groundwater level Index (SGI) for 54 UK boreholes (1891-2015) ","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","phtr"],"shortenedDescription":"Monthly Standardised Groundwater level Index (SGI) for observation boreholes across the UK from 1891 to 2015, based on reconstructed groundwater level time series (Bloomfield et al., 2018; https://doi.org/10.5285/ccfded8f-c8dc-4a24-8338-5af94dbfcc16). Standardised groundwater..."},{"publicationDate":"2025-05-02T00:00:00.000+00:00","metadataDate":"2026-03-09T17:32:49.000+00:00","authorAffiliation":["University of Stirling"],"authorGivenName":["L","H","R","M"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Quilliam, R."],"authorOrcid":["https://orcid.org/0000-0003-2530-2120"],"authorRor":["https://ror.org/045wgfr59"],"catalogue":"eidc","description":"This dataset contains experimental survival rate and transfer potential measurements of two known human pathogens, bacteria Salmonella Typhimurium and Vibrio cholerae, on plastic mulch and ready-to-eat crop plants. Colony forming units (CFUs) were used to measure persistence time of each pathogen on the mulch, and quantify the transfer of each pathogen from the plastic mulch to the surface of spinach and basil leaves. Samples were measured on days 1, 2, 3, 4, 7, 10 and 14, over a total period of 14 days. Destructive sampling methods were used to collect samples from the plastic and leaf surface, with negative control leaves also sampled at each time point. \n\nThis dataset was created as part of a study investigating the risk of pathogen growth in agricultural environments using plastic mulch, and is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V005847/1"],"identifier":"a514a386-18d7-4925-a3d4-fb5a2922e135","incomingCitationCount":0,"givenName":["Luke","L","H","R","M"],"familyName":["Woodford","White","Fellows","Ormsby","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Quilliam, R."],"keyword":["Environmental risk","Pollution","Agriculture","plastisphere","human pathogens","ready-to-eat-crops","phyllosphere"],"keywordsTheme":["Environmental risk","Pollution","Agriculture"],"keywordsOther":["plastisphere","human pathogens","ready-to-eat-crops","phyllosphere"],"licence":"Open government licence","lineage":"Persistence experiments, examining the survival of S. Typhimurium and V. cholerae were set up by placing spinach and basil leaves in petri dishes and adding plastic mulch with a biofilm containing each pathogen to the leaf surface. Over time samples were destructively sampled by removing the plastic, washing the leaf surface and cutting a circle from the leaf. These three sections (plastic, wash and cut leaf) were then resuspended and plated on to selevctive media. Any surviving bacteria were quantified using CFUs. Negative control leaves with no plastics or bacteria were analysed at each time point.","orcid":["https://orcid.org/0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a514a386-18d7-4925-a3d4-fb5a2922e135","10.5285/a514a386-18d7-4925-a3d4-fb5a2922e135","doi::10.5285/a514a386-18d7-4925-a3d4-fb5a2922e135"],"availability":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","University of Stirling","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., & Quilliam, R. S. (2024). Salmonella Typhimurium and Vibrio cholerae can be transferred from plastic mulch to basil and spinach salad leaves. In Heliyon (Vol. 10, Issue 10, p. e31343). Elsevier BV. "],"title":"Survival rates and transfer potential measurements of Salmonella Typhimurium and Vibrio cholerae colonising plastic mulch onto basil and spinach salad leaves","topic":["0/Environmental risk/","0/Pollution/","0/Agriculture/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jashun"],"shortenedDescription":"This dataset contains experimental survival rate and transfer potential measurements of two known human pathogens, bacteria Salmonella Typhimurium and Vibrio cholerae, on plastic mulch and ready-to-eat crop plants. Colony forming units (CFUs) were used to measure persistence..."},{"publicationDate":"2020-07-17T00:00:00.000+00:00","metadataDate":"2026-04-14T10:31:07.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorGivenName":["M.","T.","S.","C.","I.","Z.","D.B."],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"ukscape","description":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to the present year), for the last 20 years, and for the last decade.   In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).\n\nTrends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year. \n\nTrends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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.\n\n#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.\n","documentType":"LINK_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"a3a93ef5-9232-4022-bb03-8173aca6dd41","incomingCitationCount":0,"givenName":["M.","T.","S.","C.","I.","Z.","D.B.","Tom"],"familyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","UK-SCAPE","Biodiversity","lepidopteran","butterfly","UK Butterfly Monitoring Scheme"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"keywordsOther":["lepidopteran","butterfly","Biodiversity","UK Butterfly Monitoring Scheme"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across WCBS squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ccccf05-45b4-4a65-b145-38e9b44d2ce4","10.5285/8ccccf05-45b4-4a65-b145-38e9b44d2ce4","doi::10.5285/8ccccf05-45b4-4a65-b145-38e9b44d2ce4"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: species trends 2019","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","rhicha"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series..."},{"publicationDate":"2011-08-01T00:00:00.000+00:00","metadataDate":"2026-04-22T14:40:28.000+00:00","altTitle":["Rainf WFD GPCC","Rainfall WFD GPCC"],"catalogue":"eidc","description":"The WATCH forcing data (WFD) 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. \n\nIt 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.  Rainf or rainfall rate is the rainfall rate based on the Global Precipitation Climatology Centre (GPCC) bias corrected, undercatch corrected measured in kg/m2/s at 3 hourly resolution averaged over the next 3 hours and at 0.5 x 0.5 degrees spatial resolution. Please note that there is also a WFD Rainf CRU bias corrected dataset, but as the GPCC dataset is the preferred dataset only this rainfall dataset is available from the EIDC. These rainfall datasets contain rainfall data only and need to be combined with the respective WFD snowfall datasets to obtain precipitation data.","documentType":"GEMINI_DOCUMENT","identifier":"6b7caa4f-4e35-4c79-aa8e-2e065234a14a","incomingCitationCount":0,"givenName":["Tanya"],"familyName":["Warnaars"],"fullName":["Warnaars, T."],"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology"],"keywordsTheme":["Modelling","Hydrology"],"keywordsOther":["Land surface modelling","meteorology","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))"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1315215051950","CEH:EIDC::1315215051950","https://catalogue.ceh.ac.uk/id/6b7caa4f-4e35-4c79-aa8e-2e065234a14a"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Weedon, G. P., Gomes, S., Viterbo, P., Shuttleworth, W. J., Blyth, E., Österle, H., … 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 Rainf GPCC (Rainfall GPCC) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"dataFormat":["NetCDF"],"view":["public","rjsc"],"shortenedDescription":"The WATCH forcing data (WFD) 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. \n\nIt was generated as part of the EU FP 6 project..."},{"publicationDate":"2024-02-13T00:00:00.000+00:00","metadataDate":"2026-04-14T10:26:24.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","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). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for years between 1750 and 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\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.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"bf508daa-c33c-4d75-a250-72b94b1855d4","incomingCitationCount":0,"givenName":["J.","S.","E.J. ","T.","M.","Janice"],"familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"keyword":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK","Pollution","Modelling","oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsProject":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK"],"keywordsTheme":["Pollution","Modelling"],"keywordsOther":["oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN (Baker 2001).\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf508daa-c33c-4d75-a250-72b94b1855d4","10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4","doi::10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The Weather and Research Forecast (WRF) model derived meteorology has been used to drive the EMEP4UK model: Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. "," The National Centers for Environmental Prediction Final Reanalysis dataset have been used as initial and boundary condition, and to nudge the WRF model: 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. https://doi.org/10.5065/D6M043C6. Accessed  01/01/2022  ","Data from this center were used in the EMEP4UK model","Data from this inventory were used in the EMEP4UK model","Emissions used in EMEP4UK model are available from this paper: Tomlinson et al., 2023. Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1 km resolution, 1750-2100","Observations that were used to assess and control the quality of the heavy metal data can be found in this report: Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre."],"supplementalName":["Weather and Research Forecast model","National Centers for Environmental Prediction Final Reanalysis dataset ","EU EMEP Emissions Center","The UK National Atmospheric Emissions Inventory","The Republic of Ireland National Emissions Inventory","Tomlinson et al., (2023)","Baker (2001)"],"title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 1750-2018","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"dataFormat":["NetCDF"],"view":["public","jenroe"],"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 annual total atmospheric deposition of cadmium, copper, nickel,..."},{"metadataDate":"2025-04-04T12:27:14.000+00:00","catalogue":"ukscape","description":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at an organically managed grassland, Berkshire, UK, from 2017.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. \n\nTHIS DATASET IS BEING CONTINUOUSLY GENERATED. A PUBLICATION DATE IS YET TO BE DETERMINED BUT DATA (FROM 2017) WILL BE PUBLISHED BEFORE MARCH 2023.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"ff4afcb5-d166-4d56-8dc6-482d449051d8","incomingCitationCount":0,"givenName":["Ross"],"familyName":["Morrison"],"fullName":["Morrison, R."],"keyword":["Air","Greenhouse Gas","Net zero greenhouse gas emissions","Land","Climate and land"],"keywordsOther":["Air","Greenhouse Gas","Net zero greenhouse gas emissions","Land","Climate and land"],"licence":"Non-Open government licence","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ff4afcb5-d166-4d56-8dc6-482d449051d8"],"availability":"In-progress","resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"state":"published","title":"BG-OG Organic Grassland Eddy Covariance data","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","rhicha","hajd"],"shortenedDescription":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at an organically managed grassland, Berkshire, UK, from 2017.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering..."},{"publicationDate":"2018-06-05T00:00:00.000+00:00","metadataDate":"2026-03-26T13:43:04.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["I.J.","J.B."],"authorFamilyName":["Winfield","James"],"authorFullName":["Winfield, I.J.","James, J.B."],"authorOrcid":["https://orcid.org/0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of estimated gonad weight and associated data on male pike (Esox lucius) from net sampling in Windermere, Cumbria.  Data collection began in 1945. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989.","documentType":"GEMINI_DOCUMENT","identifier":"c1114f67-c307-4aab-9299-95d4fbbdd53f","incomingCitationCount":1,"givenName":["I.J.","J.B."],"familyName":["Winfield","James"],"fullName":["Winfield, I.J.","James, J.B."],"keyword":["Windermere","Biodiversity","Environmental survey","Water quality","Animal behaviour","Esox lucius"],"keywordsPlace":["Windermere"],"keywordsTheme":["Biodiversity","Environmental survey","Water quality","Animal behaviour"],"keywordsOther":["Esox lucius"],"licence":"Non-Open government licence","lineage":"The data were initially collected by the Freshwater Biological Association (FBA) but have been collected by CEH and its predecessor Institute of Freshwater Ecology (IFE) since 1989.","locations":["POLYGON((-3.019 54.27, -3.019 54.436, -2.874 54.436, -2.874 54.27, -3.019 54.27))"],"orcid":["https://orcid.org/0000-0001-9296-5114"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1114f67-c307-4aab-9299-95d4fbbdd53f","10.5285/c1114f67-c307-4aab-9299-95d4fbbdd53f","doi::10.5285/c1114f67-c307-4aab-9299-95d4fbbdd53f"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Windermere pike male gonad weight data (1945 to 1996)","topic":["0/Biodiversity/","0/Environmental survey/","0/Water quality/","0/Animal behaviour/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","clamw"],"shortenedDescription":"This dataset consists of estimated gonad weight and associated data on male pike (Esox lucius) from net sampling in Windermere, Cumbria.  Data collection began in 1945. The data were initially collected by the Freshwater Biological Association (FBA) but have been collected..."},{"publicationDate":"2017-02-23T00:00:00.000+00:00","metadataDate":"2026-03-26T13:36:31.000+00:00","authorAffiliation":["University of Essex"],"authorGivenName":["S.","G."],"authorFamilyName":["Warren","Underwood"],"authorFullName":["Warren, S.","Underwood, G."],"authorRor":["https://ror.org/02nkf1q06"],"catalogue":"eidc","description":"This dataset contains diatom species count data from rivers within the Hampshire Avon catchment, UK. Data were collected from five sediment cores at each site, collected in February, April, August and November during 2013. Data were collected as part of the project \"The role of lateral exchange in modulating the seaward flux of C, N, P\", funded under NERC's Macronutrients Cycles research programme.","documentType":"GEMINI_DOCUMENT","identifier":"aec7f752-6be6-4626-bbdb-921bf8d7e3ce","incomingCitationCount":0,"givenName":["Scott","S.","G."],"familyName":["Warren","Underwood"],"fullName":["Warren, S.","Underwood, G."],"keyword":["River Ebble","River Avon","River Nadder","River Wylye","River Sem","seasonality","diatom"],"keywordsPlace":["River Ebble","River Avon","River Nadder","River Wylye","River Sem"],"keywordsOther":["seasonality","diatom"],"licence":"Open government licence","lineage":"At each site, five sediment cores (internal diameter 8 cm) were taken within a 25 m long river reach. From this core, four sub-cores (internal diameter 2 cm) were taken in order to pair measurements. Sub-cores were stored depending on what analysis was done. All data were collected using standard methodologies as detailed in the supporting information.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"organisation":["University of Essex","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/aec7f752-6be6-4626-bbdb-921bf8d7e3ce","10.5285/aec7f752-6be6-4626-bbdb-921bf8d7e3ce","doi::10.5285/aec7f752-6be6-4626-bbdb-921bf8d7e3ce"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"state":"published","title":"Diatom community composition over a seasonal cycle in the Hampshire Avon catchment","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","hajd"],"shortenedDescription":"This dataset contains diatom species count data from rivers within the Hampshire Avon catchment, UK. Data were collected from five sediment cores at each site, collected in February, April, August and November during 2013. Data were collected as part of the project..."},{"publicationDate":"2022-02-01T00:00:00.000+00:00","metadataDate":"2026-04-14T10:29:59.000+00:00","authorAffiliation":["University of St Andrews","UK Centre for Ecology & Hydrology"],"authorGivenName":["L.C.","C.","A.","W.E.N."],"authorFamilyName":["Miller","Smeaton","Garbutt","Austin"],"authorFullName":["Miller, L.C.","Smeaton, C.","Garbutt, A.","Austin, W.E.N."],"authorOrcid":["https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history. The data provide a quantitative measure of belowground (root) biomass, organic carbon content and belowground (root) carbon. Samples were collected using a wide gauge gouge corer. The samples were processed to determine belowground (root) biomass, the organic carbon was quantified through elemental analysis and these two data sets were combined to calculate the belowground (root) carbon content. The data were collected to help create a detailed picture of saltmarsh carbon storage in surficial soils across Scotland.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R010846/1"],"identifier":"032627e0-5780-4601-b9b3-e684403cee70","incomingCitationCount":0,"givenName":["C.","L.C.","A.","W.E.N."],"familyName":["Smeaton","Miller","Garbutt","Austin"],"fullName":["Smeaton, C.","Miller, L.C.","Garbutt, A.","Austin, W.E.N."],"keyword":["Scotland","United Kingdom","C-SIDE","soil","sediment","biomass","carbon","organic carbon","organic matter","salt marsh","root","coastal","wetland","blue carbon"],"keywordsPlace":["Scotland","United Kingdom"],"keywordsOther":["C-SIDE","soil","sediment","biomass","carbon","organic carbon","organic matter","salt marsh","root","coastal","wetland","blue carbon"],"licence":"Open government licence","lineage":"Soil cores were taken at each sampling location using a wide diameter gouge corer. The location of the sample was recorded using GPS. Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Belowground (root) biomass, organic carbon content and belowground (root) carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-7.09 55.74, -7.09 58.99, -0.46 58.99, -0.46 55.74, -7.09 55.74))"],"orcid":["https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-6544-3468"],"organisation":["University of St Andrews","UK Centre for Ecology & Hydrology","The University Court of the University of St Andrews","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/032627e0-5780-4601-b9b3-e684403cee70","10.5285/032627e0-5780-4601-b9b3-e684403cee70","doi::10.5285/032627e0-5780-4601-b9b3-e684403cee70"],"availability":"Available","resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["C-SIDE website"],"title":"Physical and biogeochemical measurements of belowground biomass and carbon content from Scottish salt marshes, 2021","version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","danor"],"shortenedDescription":"The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history...."},{"publicationDate":"2023-12-20T00:00:00.000+00:00","metadataDate":"2026-04-14T10:29:24.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["K.","M.","R."],"authorFamilyName":["Sharps","Vieno","Beck"],"authorFullName":["Sharps, K.","Vieno, M.","Beck, R."],"authorOrcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled daily surface nitrogen dioxide (NO2, ug m-3). A seasonal average value per grid cell was calculated for the grassland growing season (mid-April to mid-July), for the USA and UK, in 2018. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Global Environment Facility (GEF)","United Nations Environment Programme (UNEP)"],"grant":["NE/R016429/1"],"identifier":"d2524c77-c0b6-4228-a743-ec6f16623d80","incomingCitationCount":0,"givenName":["K.","M.","R."],"familyName":["Sharps","Vieno","Beck"],"fullName":["Sharps, K.","Vieno, M.","Beck, R."],"keyword":["Air pollution","nitrogen dioxide","EMEP model","grasslands"],"keywordsOther":["Air pollution","nitrogen dioxide","EMEP model","grasslands"],"licence":"Open government licence","lineage":"The surface NO2 data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.\nOutput data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.\n","locations":["POLYGON((-179.297 21.943, -179.297 71.965, 2.813 71.965, 2.813 21.943, -179.297 21.943))"],"orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d2524c77-c0b6-4228-a743-ec6f16623d80","10.5285/d2524c77-c0b6-4228-a743-ec6f16623d80","doi::10.5285/d2524c77-c0b6-4228-a743-ec6f16623d80"],"availability":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Modelled surface nitrogen dioxide (NO2) for the grassland growing season in the UK and USA in 2018","version":1.0,"dataFormat":["Shapefile"],"view":["public","glenn"],"shortenedDescription":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled daily surface nitrogen dioxide (NO2, ug m-3). A seasonal average value per grid cell was calculated for the grassland growing season (mid-April to mid-July), for the USA and UK, in 2018. "},{"metadataDate":"2025-04-09T09:24:56.000+00:00","catalogue":"infrastructure","description":"The IDMM family of models predict concentrations of metals in soil and drainage water resulting from inputs over long timescales (decades and longer).  They are used for environmental risk assessment: specifically to assess pollution risk from metals.","documentType":"infrastructurerecord","identifier":"edbba030-43e4-4610-86be-380aaa3419e5","incomingCitationCount":0,"recordType":"Science infrastructure","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/edbba030-43e4-4610-86be-380aaa3419e5"],"resourceType":"Science infrastructure","state":"published","title":"Intermediate Dynamic Model for Metals (IDMM), including Agricultural version (IDMM-ag)","version":1.0,"view":["public","phtr"],"scienceArea":"Pollution","infrastructureCapabilities":"IDMM is a dynamic process model that uses simple representations of metal chemistry in soils (sorption and fixation) to predict metal concentrations in soil solids and porewater, plus leaching losses, on an annual timestep.  It can be run for point locations or on a spatial grid for wider areas.  The IDMM-ag version is adapted for risk assessment of metals in small agricultural catchments; it includes an additional module to predict the fate of dissolved metals in surface water. ","infrastructureChallenge":["Pollution"],"infrastructureCategory":["Environmental models"],"infrastructureClass":["Digital infrastructures"],"shortenedDescription":"The IDMM family of models predict concentrations of metals in soil and drainage water resulting from inputs over long timescales (decades and longer).  They are used for environmental risk assessment: specifically to assess pollution risk from metals."},{"publicationDate":"2017-01-10T00:00:00.000+00:00","metadataDate":"2026-03-11T14:28:53.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorGivenName":["R.I.","A.J.","Y.S.","J.R."],"authorFamilyName":["Smith","Dore","Tang","Stedman"],"authorFullName":["Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","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","identifier":"d7f3bfd5-bcde-41b8-bd22-02e331d24b54","incomingCitationCount":0,"givenName":["Bill","R.I.","A.J.","Y.S.","J.R."],"familyName":["Bealey","Smith","Dore","Tang","Stedman"],"fullName":["Bealey, B.","Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"keyword":["Concentration Based Estimated Deposition (CBED)","pollutant","deposition","sulphur","nitrogen","base cations"],"keywordsProject":["Concentration Based Estimated Deposition (CBED)"],"keywordsOther":["pollutant","deposition","sulphur","nitrogen","base cations"],"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))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"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"],"availability":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"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,"dataFormat":["Comma-separated values (CSV)"],"view":["public","danor"],"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..."},{"publicationDate":"2024-11-15T00:00:00.000+00:00","metadataDate":"2026-03-09T17:37:54.000+00:00","authorAffiliation":["University of Bristol"],"authorGivenName":["S.","A."],"authorFamilyName":["Montgomery","Couto"],"authorFullName":["Montgomery, S.","Couto, A."],"authorOrcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five locations in Central and South America between 2012 and 2016. Locations included Costa Rica, Panama, French Guiana, Ecuador, and Peru. These locations covered a range of habitats from dry to wet forest, at elevations from sea level to 2500m. Interspecific data from wild caught individuals include identification to a species level, sex, and body size, as well as volume measurements of the mushroom body structures, central brain, medulla, and antennal lobe. \n\nMeasurements of mushroom body calyx volume, and estimates of Kenyon cell and synapse counts are included for six species of  insectary-reared adult heliconiine butterflies (Agraulis vanilla, dryas iulia, eueides Isabella, heliconius melpmonene, heliconius Hortense, heliconius hecale). Two species (dryas iulia, heliconius charthonia) were also sampled for microglomeruli counts.\nThis dataset was created as part of a NERC Independent Research Fellowship NE/N014936/1, to analyse the evolutionary expansions in mushroom body size in Heliconius butterflies, compared to their closest relatives.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N014936/2"],"identifier":"de62eff7-6ea4-44d7-a015-2eb9b25cf882","incomingCitationCount":0,"givenName":["S.","A."],"familyName":["Montgomery","Couto"],"fullName":["Montgomery, S.","Couto, A."],"keyword":["Biodiversity","lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"keywordsTheme":["Biodiversity"],"keywordsOther":["lepidoptera","butterfly species abundance","heliconiini","kenyon cell number","brain","neuropil","mushroom body","mushroom body calyx","synapse density"],"licence":"Open government licence","lineage":"Samples were collected over multiple field seasons across central and south America using a hand-net, fixed in situ and returned to the UK. Fixed samples were then stained with Anti-SYNORF as a primary antibody, cy2 as a secondary antibody, and imaged using confocal microscopy. The resulting images, which highlight boundaries between brain regions, were then segmented using AMIRA software to quantify neuropil volumes. \n\nInsectary-reared samples were obtained using pupae from commercial supplies. Freshly eclosed butterflies were aged in a controlled temperature room at 28 degrees Celsius with 80% humidity with a 12-hour day/night cycle. The cage was enriched with a natural food resource, supplemented by artificial feeders. Butterflies were sampled six to ten days after emergence.\n\nKenyon cell counts were estimated using immunohistochemical staining against DAPI, imaged with confocal microscopy. Synapse density estimates were made using higher magnification imaging of Anti-SYNORF stained brains, focusing on the calyx. Total count data was obtained by estimating nuclei density/synapse density within sub-sampled regions of a structure, and then extrapolating across the total volume of the structure.\n","locations":["POLYGON((-119.308 -56.207, -119.308 33.669, -33.879 33.669, -33.879 -56.207, -119.308 -56.207))"],"orcid":["https://orcid.org/0000-0002-5474-5695","https://orcid.org/0000-0002-5528-7331"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de62eff7-6ea4-44d7-a015-2eb9b25cf882","10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882","doi::10.5285/de62eff7-6ea4-44d7-a015-2eb9b25cf882"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalName":[" Couto A, Young FJ, Atzeni D, Marty S, Melo‐Flórez L, Hebberecht L, Monllor M, Neal C, Cicconardi F, McMillan WO, Montgomery SH. Rapid expansion and visual specialisation of learning and memory centres in the brains of Heliconiini butterflies. Nature Communications. 2023, 14(1):4024. https://doi.org/10.1038/s41467-023-39618-8"],"title":"Taxonomic data, neuropil volume measurements, and mushroom body calyx kenyon cell and synapse counts for Heliconiini butterflies, Central and South America, 2012-2016","topic":["0/Biodiversity/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","jashun"],"shortenedDescription":"This dataset contains taxanomic and neuropil volume measurements of wild caught heliconiine butterflies, as well as kenyon cell and synapse counts in the mushroom body calyx of insectory -reared heliconiine butterflies. \nWild caught butterflies were sampled from five..."},{"publicationDate":"2023-03-07T00:00:00.000+00:00","metadataDate":"2026-03-26T13:39:43.000+00:00","authorAffiliation":["University of Reading","Anglian Water","UK Centre for Ecology & Hydrology","Royal Netherlands Meteorological Institute (KNMI)"],"authorGivenName":["W.","N.","G.","K.","T.","M. "],"authorFamilyName":["Chan","Arnell","Darch","Facer-Childs","Shepherd","Tanguy","van der Wiel"],"authorFullName":["Chan, W.","Arnell, N.","Darch, G.","Facer-Childs, K.","Shepherd, T.","Tanguy, M.","van der Wiel, K."],"authorOrcid":["https://orcid.org/0000-0003-4296-3203"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains GR6J  (which stands for modèle du Génie Rural à 6 paramètres Journalier) modelled daily river flow time series for 95 river catchments in Great Britain and driving data (precipitation and potential evapotranspiration calculated from temperature) from the EC-Earth Single Model Initial Condition Large Ensemble (SMILE) climate model. The large ensemble is based on the EC-Earth Global Climate Model (GCM) v2.3 and is run for present day (equivalent to present day climate with observed global mean surface temperature for the period 2011-2015) and pre-industrial plus 2°C and 3°C global warming conditions. In total, they make up 2000 years of data for each global warming level (i.e. 16 ensemble members x 25 realizations x 5 years = 2000 years). All ensemble members are pooled to form a continuous 2000-year time series of meteorological input and daily modelled river flows. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S007261/1"],"identifier":"d966ae7f-a29b-4c57-835d-f4efd0d65c88","incomingCitationCount":0,"givenName":["W.","N.","G.","K.","T.","M. "],"familyName":["Chan","Arnell","Darch","Facer-Childs","Shepherd","Tanguy","van der Wiel"],"fullName":["Chan, W.","Arnell, N.","Darch, G.","Facer-Childs, K.","Shepherd, T.","Tanguy, M.","van der Wiel, K."],"keyword":["Great Britain","Hydrology","Modelling","large ensemble","climate change","hydrology","model"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Hydrology","Modelling"],"keywordsOther":["large ensemble","climate change","hydrology","model"],"licence":"Open government licence","lineage":"The GR6J hydrological model (which stands for modèle du Génie Rural à 6 paramètres Journalier) is used to simulate river flows at 95 river catchments driven by the pooled continuous 2000-years input data (precipitation and potential evapotranspiration) from the EC-Earth large ensemble. Simulated river flows is obtained from using the best performing model run for each river catchment to drive GR6J hydrological models for each catchment. \nThis dataset is produced as part of a PhD studentship supported by the Natural Environment Research Council via the SCENARIO Doctoral Training Partnership (grant no. NE/S007261/1).\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-4296-3203"],"organisation":["University of Reading","Anglian Water","UK Centre for Ecology & Hydrology","Royal Netherlands Meteorological Institute (KNMI)","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d966ae7f-a29b-4c57-835d-f4efd0d65c88","10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88","doi::10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88"],"availability":"Available","resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"dataFormat":["Comma-separated values (CSV)"],"view":["public","tinzha"],"shortenedDescription":"This dataset contains GR6J  (which stands for modèle du Génie Rural à 6 paramètres Journalier) modelled daily river flow time series for 95 river catchments in Great Britain and driving data (precipitation and potential evapotranspiration calculated from temperature)..."},{"publicationDate":"2022-05-04T00:00:00.000+00:00","metadataDate":"2026-04-22T13:52:25.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorGivenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"authorFamilyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"authorFullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Phenotypes (growth, phenology and form) for Scots pine trees in a long-term common garden trial grown in three nurseries in Scotland and surveyed from 2007 to 2011.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council","Scottish Government"],"grant":["NE/K012177/1"," BB/L012243/1"],"identifier":"29ced467-8e03-4132-83b9-dc2aa50537cd","incomingCitationCount":0,"givenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"familyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"fullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"keyword":["Phenology","Pinus sylvestris","Scots pine","Caledonian pinewood","Adaptive trait variation","Phenotype","Common garden experiment","Growth","Tree form","tree nursery"],"keywordsTheme":["Phenology"],"keywordsOther":["Pinus sylvestris","Scots pine","Caledonian pinewood","Adaptive trait variation","Phenotype","Common garden experiment","Growth","Tree form","tree nursery"],"licence":"Open government licence","lineage":"A multi-site trial was established at three nursery sites in Scotland in 2007 using seed collected from 21 native Caledonian pinewood provenances. Each nursery contained 8 seedlings from each of 10 families per provenance (total 1,680 trees per nursery).\nGrowth (height and stem diameter), tree form (canopy width, needle length, number of buds), and phenology (budburst timing and growth cessation) were measured from 2007 to 2011, although not all traits were recorded in every year. 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