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Phase 2 control tanks received three Rv-negative corpses. For phase three, Rv-positive larval common frog corpses  were introduced into treatment tanks.","metadataDate":"2026-07-25T12:54:33.000Z","orcid":["0000-0002-7676-917X","0000-0002-8984-8897","0000-0003-1895-450X","0000-0002-0336-9706"],"organisation":["University of Liverpool","University of Cambridge","Institute of Zoology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b33aff78-63d6-46a2-9353-93f45293a383","10.5285/b33aff78-63d6-46a2-9353-93f45293a383","doi:10.5285/b33aff78-63d6-46a2-9353-93f45293a383"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Liverpool","Institute of Zoology"],"ror":["https://ror.org/04xs57h96","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains values on the prevalence and mean intensity of Batrachochytrium dendrobatidis (Bd) infection and ranavirus (Rv) infections in different combinations of common frog (Rana temporaria) and common toad (Bufo bufo)  during mesocosm experiments executed…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Chytrid fungus and ranavirus coinfection data in multi-host mesocosm communities","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Cambridge","University of Aberdeen"],"authorFamilyName":["Jackson","Coomes","Burslem"],"authorFullName":["Jackson, T.","Coomes, D.","Burslem, D."],"authorGivenName":["T.","D."],"authorOrcid":["0000-0001-8143-6161"],"authorRor":["https://ror.org/013meh722","https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data represents a survey of all the large trees in permanent forest plots in Danum Valley and Sepilok Reserve, Sabah, Malaysia to determine whether they were dead or alive in 2019. The data consist of individual tree ids, which can be linked back to the plot inventory data, status and some details about the mode of death.\n\nAdditional data for Danum Valley is available through the ForestGEO portal.\n\nAdditional data for Sepilok reserve is available through forestplots website. 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If the tree had uprooted or snapped, the direction of fall and the size (magnitude estimate) of the gap in the forest canopy was recorded.","locations":["POLYGON((116.386 5.305, 116.386 6.474, 117.886 6.474, 117.886 5.305, 116.386 5.305))"],"metadataDate":"2026-09-15T08:43:59.000Z","orcid":["0000-0001-8143-6161"],"organisation":["University of Cambridge","University of Aberdeen","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-06-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f","10.5285/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f","doi:10.5285/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/013meh722","https://ror.org/016476m91","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This data represents a survey of all the large trees in permanent forest plots in Danum Valley and Sepilok Reserve, Sabah, Malaysia to determine whether they were dead or alive in 2019. The data consist of individual tree ids, which can be linked back to the plot inventory…","state":"published","supplementalName":["ForestGEO portal","Forestplots"],"temporalExtentText":"Data collected from 2019 to 2019","title":"Mortality surveys of large trees in Danum Valley and Sepilok Reserve, Sabah, Malaysia, 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Edinburgh"],"authorFamilyName":["Spencer"],"authorFullName":["Spencer, M."],"authorGivenName":["M."],"authorRor":["https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Pipe-delimited text"],"description":"This dataset comprises observations of snowline from the Snow Survey of Great Britain (SSGB) at 140 sites across Scotland . Daily observations were made between 1945 and 2007. Observations were made by a ground observer who looked out from a given location at 0900 GMT each day and noted the elevation at which snow cover was greater than 50%. \n\nThe initial aim was to 'secure representative data relating to the occurrence of snow cover at different altitudes in the various upland districts over the period October to June'. \n\nThe data were collated by the British Glaciological Society until 1954 and thereafter by the Met Office. It has been transcribed from paper records held in the Met Office archives in Edinburgh.","documentType":"GEMINI_DOCUMENT","familyName":["Spencer"],"fullName":["Spencer, M."],"givenName":["M.","Michael"],"identifier":"caf989a5-82d7-4db7-b6ff-c0475fdae07e","incomingCitationCount":1,"keyword":["Snow Survey of Great Britain","SSGB"],"keywordsOther":["Snow Survey of Great Britain","SSGB"],"licence":"Open government licence","lineage":"The SSGB is a voluntary observer collected dataset.  The SSGB observers looked out on the hills that surrounded their location and noted at what level snow was lying. Elevations were grouped into 150 m bands from 0 to 1200 m ASL or 500 feet increments earlier in the record, with most stations supplying metric returns by the early 1980s. The observers were asked (taken from January 1992 instructions) to record at 09:00 GMT or thereabouts when snow or sleet was falling at station level and if snow was lying at station level, with depth.  Finally they were asked to record when fog or cloud obscured observation.\n\nPaper copy Scottish data, between Autumn 1945 and Summer 2007, are stored in the Met Office archives in Edinburgh. These paper copies were transcribed to an electronic format and comprise this dataset.\n\nSome data are missing as not all stations operated in all years. \n\nSome data are also missing due to observers being away or weather obscuring the view.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-25T14:04:55.000Z","organisation":["University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/caf989a5-82d7-4db7-b6ff-c0475fdae07e","10.5285/caf989a5-82d7-4db7-b6ff-c0475fdae07e","doi:10.5285/caf989a5-82d7-4db7-b6ff-c0475fdae07e"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises observations of snowline from the Snow Survey of Great Britain (SSGB) at 140 sites across Scotland . Daily observations were made between 1945 and 2007. Observations were made by a ground observer who looked out from a given location at 0900 GMT…","state":"published","temporalExtentText":"Data collected from 1945 to 2007","title":"Snow Survey of Great Britain: transcribed data for Scotland, 1945 to 2007","version":1.0,"view":["public","m.spencer@ed.ac.uk"]},{"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Broughton","Gerard","Haslam","Howard"],"authorFullName":["Broughton, R.K.","Gerard, F.","Haslam, R.","Howard, A.S."],"authorGivenName":["R.K.","F.","R.","A.S."],"authorOrcid":["0000-0002-6838-9628","0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was used with existing open source GIS datasets to map non-woodland linear features consisting of woody vegetation. The output dataset is the product of several steps of filtering and masking the lidar data using GIS landscape feature datasets available from the Tellus South West project (digital terrain model (DTM) and digital surface model (DSM)), the Ordnance Survey (OS VectorMap District and OpenMap Local, to remove buildings) and the Forestry Commission (Forestry Commission National Forest Inventory Great Britain 2015, to remove woodland parcels).  The dataset was tiled as 20 x 20 km shapefiles, coded by the bottom-left 10 km hectad name. Ground-truthing suggests an accuracy of 73.2% for hedgerow height classes.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Gerard","Haslam","Howard"],"fullName":["Broughton, R.K.","Gerard, F.","Haslam, R.","Howard, A.S.","Broughton, R."],"givenName":["R.K.","F.","R.","A.S.","Richard"],"identifier":"4b5680d9-fdbc-40c0-96a1-4c022185303f","incomingCitationCount":1,"keyword":["Tellus South West Project","NEC05019"],"keywordsProject":["Tellus South West Project","NEC05019"],"licence":"Open government licence","lineage":"The output data product has been ground truthed, suggesting an accuracy of 73.2% between field survey and modeled heghts of hedgerows (see documentation). The dataset has not been exhaustively checked for all errors. Extensive manual checking (comparison to aerial imagery) removed obvious anomalies, but many are likely to be remaining. Particular issues with misclassification of features at the coast resulted in all features within a 50 m buffer of the high water mark being removed. Some areas of tall in-field crops are probably also present as apparent low scrub, and difficulty in rendering very irregular patches of trees and scrub have created very dense or very simplistic areas of polylines.","locations":["POLYGON((-5.781 49.943, -5.781 51.281, -3.475 51.281, -3.475 49.943, -5.781 49.943))"],"metadataDate":"2026-07-24T21:20:16.000Z","orcid":["0000-0002-6838-9628","0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","British Geological Survey","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b5680d9-fdbc-40c0-96a1-4c022185303f","10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f","doi:10.5285/4b5680d9-fdbc-40c0-96a1-4c022185303f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains polylines depicting non-woodland linear tree and shrub features in Cornwall and much of Devon, derived from lidar data collected by the Tellus South West project. Data from a lidar (light detection and ranging) survey of South West England was…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Woody habitat corridor data in South West England","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Lynch"],"authorFullName":["Lynch, J."],"authorGivenName":["J"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains agricultural greenhouse gas emission estimates and projections for Northern Ireland from 2020-2027 reported under multiple emission metrics. Past emissions are taken from the The UK National Atmospheric Emissions Inventory (NAEI). Projections are based on Department of Agriculture, Environment and Rural Affairs (DAERA, Northern Ireland) analysis to support the draft Climate Action Plan 2023-2027. These were calculated by DAERA following assumptions of mitigation efficiency and rollout potential, covering 4 scenarios from most to least conservative: headwinds, central, tailwinds and tailwinds + additional adoption of emission suppressing feed additives. Gases are reported in quantities of methane, nitrous oxide and carbon dioxide, then aggregated under a range of 'carbon dioxide equivalent' reporting metric approaches (the 100-year Global Warming Potential, the 20-year Global Warming Potential, the 100-year Global Temperature change Potential and two applications of 'GWP*') based on standard practice and recent carbon reporting literature to illustrate different ways of weighting gases and inferring mitigation value. The weighting factors and calculations used to report emissions under these multiple metrics are supplied in an accompanying xlsx calculator tool.\n\nThe work was supported by the Natural Environment Research Council (NE/W004976/1).","documentType":"GEMINI_DOCUMENT","familyName":["Lynch"],"fullName":["Lynch, J.","John Lynch"],"funder":["Natural Environment Research Council"],"givenName":["J"],"grant":["NE/W004976/1"],"identifier":"425ba61b-0dbf-4e51-8158-f226ad1427cb","incomingCitationCount":0,"keyword":["Northern Ireland","Agriculture","Climate and climate change","greenhouse gas emissions"],"keywordsOther":["greenhouse gas emissions"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Agriculture","Climate and climate change"],"licence":"Non-Open government licence","lineage":"Agricultural greenhouse gas emissions for Northern Ireland under four different scenarios and multiple CO2-equivalence metrics were calculated. Projected emissions being reported (and hence scenarios used) follow the Northern Ireland Department of Agriculture Environment and Rural Affairs Quantification Report for the draft Climate Action Plan 2023-2027. Past emissions are taken from the The UK National Atmospheric Emissions Inventory (NAEI).  Emission metric values used to report under different CO2-equivalences (GWP100, GWP20, GTP100 and GWP*) are those of the Intergovernmental Panel on Climate Change 5th Assessment Report.  The calculator for these is provided in the supporting documentation.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T21:15:09.000Z","organisation":["University of Oxford","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2026-03-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/425ba61b-0dbf-4e51-8158-f226ad1427cb","10.5285/425ba61b-0dbf-4e51-8158-f226ad1427cb","doi:10.5285/425ba61b-0dbf-4e51-8158-f226ad1427cb"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This dataset contains agricultural greenhouse gas emission estimates and projections for Northern Ireland from 2020-2027 reported under multiple emission metrics. Past emissions are taken from the The UK National Atmospheric Emissions Inventory (NAEI). Projections are…","state":"published","supplementalDescription":["Lynch, J. 2025. What does the large range in potential methane 'CO2 equivalent' evaluation imply for climate policy targets? An initial exploration in the context of agricultural emission scenarios for Northern Ireland."],"temporalExtentText":"Data collected from 2020 to 2027","title":"Agricultural emission scenarios for Northern Ireland, 2020-2027, under multiple CO2-equivalence metrics","topic":["0/Agriculture/","0/Climate and climate change/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Loughborough University","International Centre for Diarrhoeal Disease Research, Bangladesh"],"authorFamilyName":["Rousham","Islam","Unicomb","Asaduzzaman","Amin","Mozmader","Hossain","Rahman"],"authorFullName":["Rousham, E.K.","Islam, M.A.","Unicomb, L.","Asaduzzaman, M.","Islam, R.","Amin, B.","Mozmader, T.I.M.A.","Hossain, M.I.","Rahman, M."],"authorGivenName":["E.K.","M.A.","L.","M.","R.","B.","T.I.M.A.","M.I."],"authorOrcid":["0000-0001-5654-9279","0000-0001-5107-5289","0000-0001-9048-7980"],"authorRor":["https://ror.org/04vg4w365","https://ror.org/04vsvr128"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Antibiotic susceptibility tests are presented as the zone of inhibition using the disc-diffusion method, and categorized as resistant, intermediate or susceptible. DNA samples from antibiotic-resistant bacteria were analysed for the presence or absence of resistance genes using polymerase chain reaction (PCR). Laboratory analyses were conducted by trained staff at the International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b). \n\nThe aim of the study was to identify the antibiotic-susceptibility profiles and resistance genes of bacteria (Escherichia coli) obtained from humans, poultry and the environment. Bacterial isolates previously identified with resistance to third-generation cephalosporins or carbapenems were included in the analysis. Bacterial samples originated from rural households and poultry farms (broiler chickens) in Mirzapur, Tangail district; and urban food markets in Dhaka city, Bangladesh.  Environmental samples included surface water, water supply, wastewater, soil, animal faeces (poultry and cattle) and solid waste. \n\nThe survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative award NE/N019555/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Rousham","Islam","Unicomb","Asaduzzaman","Amin","Mozmader","Hossain","Rahman"],"fullName":["Rousham, E.K.","Islam, M.A.","Unicomb, L.","Asaduzzaman, M.","Islam, R.","Amin, B.","Mozmader, T.I.M.A.","Hossain, M.I.","Rahman, M.","Rousham, E."],"funder":["Natural Environment Research Council"],"givenName":["E.K.","M.A.","L.","M.","R.","B.","T.I.M.A.","M.I.","Emily"],"grant":["NE/N019555/1"],"identifier":"dda6dd55-f955-4dd5-bc03-b07cc8548a3d","incomingCitationCount":0,"keyword":["Bangladesh ","antibiotic susceptibility tests","antimicrobial resistance","bacterial counts","carbapenem","third-generation cephalosporin","DNA","antibiotic","coliform bacterium","Escherichia coli","microbiology","infectious disease","resistance (biological)"],"keywordsOther":["antibiotic susceptibility tests","antimicrobial resistance","bacterial counts","carbapenem","third-generation cephalosporin","DNA","antibiotic","coliform bacterium","Escherichia coli","microbiology","infectious disease","resistance (biological)"],"keywordsPlace":["Bangladesh "],"licence":"Open government licence","lineage":"Water (drinking, stream, waste and pond), soil and faecal samples were collected from farms and urban markets. Laboratory analysis of bacterial samples took place at International Centre for Diarrhoeal Disease Research , Dhaka, Bangladesh. Laboratory results were recorded on paper-based forms or generated from automated readings, entered into Excel then converted to .csv files for ingestion into the Environmental Information Data Centre. Reference organisms and Clinical and Laboratory Standard Institute (CLSI) guidelines were followed.","locations":["POLYGON((87.284 20.314, 87.284 29.926, 98.402 29.926, 98.402 20.314, 87.284 20.314))"],"metadataDate":"2026-09-15T08:36:43.000Z","orcid":["0000-0001-5654-9279","0000-0001-5107-5289","0000-0001-9048-7980"],"organisation":["Loughborough University","International Centre for Diarrhoeal Disease Research, Bangladesh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dda6dd55-f955-4dd5-bc03-b07cc8548a3d","10.5285/dda6dd55-f955-4dd5-bc03-b07cc8548a3d","doi:10.5285/dda6dd55-f955-4dd5-bc03-b07cc8548a3d"],"resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04vsvr128","https://ror.org/04xw4m193"],"shortenedDescription":"Antibiotic susceptibility tests are presented as the zone of inhibition using the disc-diffusion method, and categorized as resistant, intermediate or susceptible. DNA samples from antibiotic-resistant bacteria were analysed for the presence or absence of resistance…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Antibiotic susceptibility tests and resistance genes in Escherichia coli from humans, poultry and environmental samples in urban and rural Bangladesh (2017)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford","Queen Mary University of London","James Cook University","Institute of Entomology, Biology Centre of the Czech Academy of Sciences","University of Bristol","University College London"],"authorFamilyName":["Jeffs","Terry","Higgie","Jandová","Konvičková","Brown","Lue","Schiffer","O'Brien","Bridle","Hrček","Lewis"],"authorFullName":["Jeffs, C.T.","Terry, J.C.D.","Higgie, M.","Jandová, A.","Konvičková, H.","Brown, J.J.","Lue, C.","Schiffer, M.","O'Brien, E.K.","Bridle, J.","Hrček, J.","Lewis, O.T."],"authorGivenName":["C.T.","J.C.D.","M.","A.","H.","J.J.","C-H.","E.K. ","J.","O.T. "],"authorOrcid":["0000-0002-0626-9938","0000-0002-2397-0240","0000-0002-3608-6745","0000-0002-5203-2480","0000-0001-5145-7340","0000-0003-0711-6447","0000-0001-7935-6111"],"authorRor":["https://ror.org/052gg0110","https://ror.org/026zzn846","https://ror.org/04gsp2c11","https://ror.org/039nazg33","https://ror.org/0524sp257","https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains records of Drosophila flies and associated parasitic wasps collected along two elevational (temperature) gradients from Australian rainforest site. The data is presented at the individual Drosophila pupae level. It describes patterns of parasitism levels from fourteen sites and the structure of quantitative food webs at six sites. Also included are temperature records from each site.","documentType":"GEMINI_DOCUMENT","familyName":["Jeffs","Terry","Higgie","Jandová","Konvičková","Brown","Lue","Schiffer","O'Brien","Bridle","Hrček","Lewis"],"fullName":["Jeffs, C.T.","Terry, J.C.D.","Higgie, M.","Jandová, A.","Konvičková, H.","Brown, J.J.","Lue, C.","Schiffer, M.","O'Brien, E.K.","Bridle, J.","Hrček, J.","Lewis, O.T."],"funder":["Natural Environment Research Council"],"givenName":["C.T.","J.C.D.","M.","A.","H.","J.J.","C-H.","E.K. ","J.","O.T. "],"grant":["NE/N010221/1 "],"identifier":"85657c4c-54c9-4d02-a262-455ea1c38d95","incomingCitationCount":1,"keyword":["Areotetes striatiferus","Asobara sp.","Braconidae sp.","Chalcidoidea sp.","Diapriidae sp.","Drosophila bipectinata","Drosophila birchii","Drosophila bunnanda","Drosophila immigrans","Drosophila ironensis","Drosophila pallidifrons","Drosophila pandora","Drosophila pseudoananassae","Drosophila pseudotakahashii","Drosophila rubida","Drosophila simulans","Drosophila sulfurigaster","Ganaspis sp.","Kleidotoma sp.","Leptopilina boulardi","Leptopilina sp","Pachycrepoideus vindemmiae","Pteromalidae sp.","Scaptodrosophila sp.","Leptolamina sp.","Leptopilina sp."],"keywordsOther":["Areotetes striatiferus","Asobara sp.","Braconidae sp.","Chalcidoidea sp.","Diapriidae sp.","Drosophila bipectinata","Drosophila birchii","Drosophila bunnanda","Drosophila immigrans","Drosophila ironensis","Drosophila pallidifrons","Drosophila pandora","Drosophila pseudoananassae","Drosophila pseudotakahashii","Drosophila rubida","Drosophila simulans","Drosophila sulfurigaster","Ganaspis sp.","Kleidotoma sp.","Leptopilina boulardi","Leptopilina sp","Pachycrepoideus vindemmiae","Pteromalidae sp.","Scaptodrosophila sp.","Leptolamina sp.","Leptopilina sp."],"licence":"Open government licence","lineage":"All samples were collected and identified by the authors. Host pupae were collected using replicated baited bottle traps at each site. Species were identified using a combination of multiplex PCR, DNA metabarcoding and Sanger sequencing described in the associated paper (https://doi.org/10.1101/2020.07.21.213678), with reference to morphologically identified voucher specimens collected from the same site.","locations":["POLYGON((145.792 -19.014, 145.792 -18.195, 146.291 -18.195, 146.291 -19.014, 145.792 -19.014))"],"metadataDate":"2026-07-25T08:38:05.000Z","orcid":["0000-0002-0626-9938","0000-0002-2397-0240","0000-0002-3608-6745","0000-0002-5203-2480","0000-0001-5145-7340","0000-0003-0711-6447","0000-0001-7935-6111"],"organisation":["University of Oxford","Queen Mary University of London","James Cook University","Institute of Entomology, Biology Centre of the Czech Academy of Sciences","University of Bristol","University College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-08-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/85657c4c-54c9-4d02-a262-455ea1c38d95","10.5285/85657c4c-54c9-4d02-a262-455ea1c38d95","doi:10.5285/85657c4c-54c9-4d02-a262-455ea1c38d95"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/026zzn846","https://ror.org/04gsp2c11","https://ror.org/039nazg33","https://ror.org/0524sp257","https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains records of Drosophila flies and associated parasitic wasps collected along two elevational (temperature) gradients from Australian rainforest site. The data is presented at the individual Drosophila pupae level. It describes patterns of parasitism…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Drosophila-parasitoid interactions along an elevation gradient in an Australian rainforest, 2016","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Sheffield","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Evans","Southon","Dunnett","Hoyle","Jorgensen","Jones"],"authorFullName":["Evans, K.L.","Southon, G.E.","Dunnett, N.","Hoyle, H.","Jorgensen, A.","Jones, L."],"authorGivenName":["K.L.","G.E.","N.","H.","A.","L."],"authorOrcid":["0000-0002-3492-8072","0000-0002-6556-4515","0000-0001-9036-4147","0000-0001-5614-567X","0000-0002-4379-9006"],"authorRor":["https://ror.org/05krs5044","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise outcomes from questionnaire surveys conducted with greenspace users on their perceptions of experimentally manipulated urban meadows (varying levels of diversity and vegetation height of sown wildflower meadows), and associated socio-economic data of respondents to the questionnaire surveys. The experimental meadows were located in Bedford and Luton. Data was collected by the data authors, and participants gave informed consent before completing the questionnaires. The work was initially completed under the Fragments, functions and flows NERC BESS project in 2014. The scaling of biodiversity and ecosystem services in urban ecosystems was funded by grant NE/J015369/1 from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. Subsequent analysis was carried out under the NERC grant ‘Location, Configuration, Distribution: the Role of Landscape Pattern and Diversity in Ecosystem Services’ (NE/K015508/1).","documentType":"GEMINI_DOCUMENT","familyName":["Evans","Southon","Dunnett","Hoyle","Jorgensen","Jones"],"fullName":["Evans, K.L.","Southon, G.E.","Dunnett, N.","Hoyle, H.","Jorgensen, A.","Jones, L."],"funder":["Natural Environment Research Council"],"givenName":["K.L.","G.E.","N.","H.","A.","L."],"grant":["NE/J015369/1 ","NE/K015508/1"],"identifier":"29d6345f-9f53-4894-8f60-80843f49c017","incomingCitationCount":2,"keyword":["Urban","Greenspace","Diversity","Meadows"],"keywordsOther":["Urban","Greenspace","Diversity","Meadows"],"licence":"Open government licence","lineage":"Data were collected under the Fragments, functions and flows NERC BESS project in 2014. Members of the public visiting the meadows were asked a series of questions which were recorded on a questionnaire. The responses were transposed into an Excel spreadsheet. Questionnaire responses were checked on data entry. Answers not matching the categorical options were excluded. Data were exported as a comma separated value file for deposit into the EIDC.","locations":["POLYGON((-0.585 51.825, -0.585 52.165, -0.207 52.165, -0.207 51.825, -0.585 51.825))"],"metadataDate":"2026-07-24T19:30:30.000Z","orcid":["0000-0002-3492-8072","0000-0002-6556-4515","0000-0001-9036-4147","0000-0001-5614-567X","0000-0002-4379-9006"],"organisation":["University of Sheffield","UK Centre for Ecology & Hydrology","University of Sheffield ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/29d6345f-9f53-4894-8f60-80843f49c017","10.5285/29d6345f-9f53-4894-8f60-80843f49c017","doi:10.5285/29d6345f-9f53-4894-8f60-80843f49c017"],"resourceType":"Dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise outcomes from questionnaire surveys conducted with greenspace users on their perceptions of experimentally manipulated urban meadows (varying levels of diversity and vegetation height of sown wildflower meadows), and associated socio-economic data…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Survey data of greenspace users' preference scores for planted urban meadows and demographic data, Bedford and Luton, UK, 2014","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Lancaster University"],"authorFamilyName":["Chappell","Beven","Smith","Hankin"],"authorFullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"authorGivenName":["Nick A.","K.J.","P.","B."],"authorOrcid":["0000-0001-6683-951X","0000-0001-7465-3934","0000-0002-0034-3412","0000-0001-7315-3321"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge River Kent measured at the Environment Agency (EA) Sedgwick gauging station (https://nrfa.ceh.ac.uk/data/station/info/73005) through the 1 Oct 2015 to 17 Jan 2016 period were modelled using the latest version of Lancaster University’s Dynamic TOPMODEL (https://cran.r-project.org/web//packages/dynatop/index.html). \n\nThe spatially distributed rainfall field used as input to TOPMODEL was derived from a new direction-dependent and topographically controlled interpolation using observed rainfall data for the Cumbrian Mountains (Page et al., 2022. Hydrological Processes 36: e14758, https://doi.org/10.1002/hyp.14758). \n\nLack of perfect understanding of the hydrological processes routing rainfall for stream channels and then along stream channels to the Sedgwick gauge was represented by using a very wide range of model parameters applied randomly within 10,000 simulations. Using the approach detailed in Beven et al. (2022a. Hydrological Processes 36(10): e14703, https://doi.org/10.1002/hyp.14703), the resultant wide range of simulated discharge time-series was reduced by rejecting all but 67 simulations that passed the prescribed criteria. These 67 baseline simulations of observed behaviour through the +3 month period at Sedgwick are presented here.\n\nTo represent the effect of adding surface storage distributed across this 209 sq km River Kent catchment, the Digital Elevation Model (DEM) used in the baseline simulations according to Hankin et al (2018. Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk) to represent bunds placed on hillslopes in rural areas. The bunds are a type of flood mitigation measure known as Natural Flood Management or NFM. These are known formally as ‘Enhanced Hillslope Storage’ or EHS features (Beven et al 2022b. Hydrological Processes 36: e14752, https://doi.org/10.1002/hyp.14752). The TOPMODEL parameter sets producing the 67 ‘acceptable’ baseline simulations were then re-run with the modified DEM. These results are also presented here.\n","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Beven","Smith","Hankin"],"fullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"funder":["Natural Environment Research Council"],"givenName":["Nick A.","K.J.","P.","B.","Nick A"],"grant":["NE/R004722/1"],"identifier":"af081a90-b014-43f7-9399-c948a8b7672f","incomingCitationCount":0,"keyword":["River Kent","Cumbria","Hydrology","Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management (NFM)","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"keywordsOther":["Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management (NFM)","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["River Kent","Cumbria"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The simulations were performed with the latest version of Lancaster University’s distributed catchment model called ‘Dynamic TOPMODEL’. Version 0.2.1 and this is publicly available at: \nhttps://cran.r-project.org/web//packages/dynatop/index.html \n\nDynamic TOPMODEL was used to assess change in flood peaks associated with Natural Flood Management (NFM) by refining the baseline results according to a Condition Tree Approach, where the first step is the choice of model, in this case Dynamic TOPMODEL. \n\nThe second step is establishing a prior range of model parameters (see Table 1 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). \n\nThe third step is the initial sampling strategy of Monte Carlo sampling of prior parameter distributions assuming independent uniform distributions. This gave 100,000 simulated river discharge datasets for the before (baseline) and post-intervention (Enhanced Hillslope Storage) simulations. \n\nThe fourth step was to apply the Limits of Acceptability criteria determined from 2.5 to 97.5 quantiles of distributions of runoff coefficients from past events. These were applied to ranked hydrograph time steps for period in 2015 (Table 1 in Beven et al., 2022b, https://doi.org/10.1002/hyp.14703) including the largest flood on record, with additional timing constraint of ± 2 h. This gave 3249 surviving river discharge datasets for each scenario. \n\nThe fifth step was to undertake additional evaluation of flood peaks, where Limits of acceptability approach was applied ranked hydrograph time steps in 2005 and 2009 (as set out in Table 2 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). This gave 118 surviving river discharge datasets for each scenario. \n\nLastly, step six, the valuation of areas producing saturation excess overland flow was applied. Here simulations producing less than 10% of the area with surface storage greater than 1 mm at any time step additionally rejected. This gave 67 surviving river discharge datasets for each scenario. These 67 results are those presented in this shared dataset.\n\nFor the NFM scenario, the location of the Enhanced Hillslope Storage features across the modelled River Kent catchment was based on the publically available WwNP (Working with Natural Processes) dataset (Hankin et al., 2018 Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk). For the simulations presented in this NFM-scenario dataset, each bund feature was modelled with a residence time of 10 hours.\n","locations":["POLYGON((-3.168 54.038, -3.168 54.456, -2.642 54.456, -2.642 54.038, -3.168 54.038))"],"metadataDate":"2026-07-25T13:24:09.000Z","orcid":["0000-0001-6683-951X","0000-0001-7465-3934","0000-0002-0034-3412","0000-0001-7315-3321"],"organisation":["Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af081a90-b014-43f7-9399-c948a8b7672f","10.5285/af081a90-b014-43f7-9399-c948a8b7672f","doi:10.5285/af081a90-b014-43f7-9399-c948a8b7672f"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge…","state":"published","temporalExtentText":"Data collected from 2015 to 2016","title":"Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Universidad Nacional de Tucumán & CONICET","Universidad Nacional de Tucumán","University of Aberdeen","Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)"],"authorFamilyName":["Powell","Russo","Ruiz de Huidobro","Rodriguez","Irrazabal Alarcón","Tannure","Baricco","Quiroga","Burslem","Montti"],"authorFullName":["Powell, P.A.","Russo, M.C.","Ruiz de Huidobro, N.","Rodriguez, J.S.","Irrazabal Alarcón, V.","Tannure, F.M.","Baricco, M.","Quiroga, P.A.","Burslem, D.F.R.P.","Montti, L."],"authorGivenName":["Priscila Ana","M.C.","N.","J.S.","V.","F.M.","M.","P.A.","D.F.R.P.","L."],"authorOrcid":["0000-0003-3911-0912","0000-0001-6033-0990","0000-0003-0301-016X"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource consists of invasive tree species individual responses to mechanical-chemical/chemical treatments on plots established on invaded sub-tropical mountain secondary forests (Yungas). Those plots are in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. The current database belongs to an experiment that we conducted to investigate management control of the invasion of non-native species Ligustrum and other exotic species to restore native tree diversity from June 2020 to November 2023. \n\nThe work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management.\n","documentType":"GEMINI_DOCUMENT","familyName":["Powell","Russo","Ruiz de Huidobro","Rodriguez","Irrazabal Alarcón","Tannure","Baricco","Quiroga","Burslem","Montti"],"fullName":["Powell, P.A.","Russo, M.C.","Ruiz de Huidobro, N.","Rodriguez, J.S.","Irrazabal Alarcón, V.","Tannure, F.M.","Baricco, M.","Quiroga, P.A.","Burslem, D.F.R.P.","Montti, L."],"funder":["Natural Environment Research Council"],"givenName":["Priscila Ana","M.C.","N.","J.S.","V.","F.M.","M.","P.A.","D.F.R.P.","L."],"grant":["NE/S011641/1 "],"identifier":"199d5e9f-0a23-4166-a200-0b03384835a4","incomingCitationCount":0,"keyword":["Invasive species","Subtropical secondary forest","invaded forest","invasive tree control","Ligustrum lucidum","montane forest","invasive alien species","super invader","herbicide","forest"],"keywordsOther":["Subtropical secondary forest","invaded forest","invasive tree control","Ligustrum lucidum","montane forest","invasive alien species","super invader","herbicide","forest"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"The data looks at invasive tree species individual responses to mechanical-chemical/chemical treatments were part of a field experiment on the management of secondary forests affected by Ligustrum lucidum invasion. This was undertaken by establishing 6 permanent plots of 240 metres by 140 meters each (3.36 hectares, see included shapefile). Plots were established in pairs (3 pairs in total), where one element of the pair was assigned as the null scenario (no actions applied), and the other was the control (L. lucidum control and native tree planting). Before management actions, we conducted the census.\n\nThe data includes the responses of 1184 stems of invasive trees (mainly Ligustrum lucidum) located in 3 plots under management with arbitrary coordinates (x for the longest side and y for the shortest) to assess the location of each tree. For each tree stem with a perimeter at breast height (PBH) >15.7 cm, the tree was assigned a tagged ID and the species was recorded, the PBH measured and the presence of secondary stems. At a later stage, a treatment was assigned (mechanical-chemical or only chemical), taking into account PBH sizes and locations (to have similar quantities of treatment along individual sizes and locations). \n\nFor the stems assigned to a “mechanical-chemical treatment\", we cut the stem with a chainsaw and immediately applied the herbicide aminopyralid (1.5% water-dissolved solution). For the stems assigned to a “chemical treatment\", we injected the same herbicide into the stem. Every month, we monitored the individual responses to treated stems (resprout, stress signs, death). \n\nAfter one year from the control, we applied a second treatment to the stems with mechanical-chemical treatment that had been resprouted. The stems with only chemical treatment had no effect, and the cost of application was high, so we did not apply a second treatment. The individual responses for all the mechanical- chemical-treated stems every two months for one year. \n\nData were recorded onto field sheets, transferred into spreadsheets and exported as comma-separated value (CSV) files for deposit into the EIDC.\n","locations":["POLYGON((-65.629 -27.179, -65.629 -26.473, -65.135 -26.473, -65.135 -27.179, -65.629 -27.179))"],"metadataDate":"2026-07-24T19:14:14.000Z","orcid":["0000-0003-3911-0912","0000-0001-6033-0990","0000-0003-0301-016X"],"organisation":["Universidad Nacional de Tucumán & CONICET","Universidad Nacional de Tucumán","University of Aberdeen","Instituto de Investigaciones Marinas y Costeras Mar del Plata (CONICET)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/199d5e9f-0a23-4166-a200-0b03384835a4","10.5285/199d5e9f-0a23-4166-a200-0b03384835a4","doi:10.5285/199d5e9f-0a23-4166-a200-0b03384835a4"],"resourceType":"Dataset","rightsHolder":["Universidad Nacional de Tucumán & CONICET"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193","https://ror.org/04chzd762"],"shortenedDescription":"The data resource consists of invasive tree species individual responses to mechanical-chemical/chemical treatments on plots established on invaded sub-tropical mountain secondary forests (Yungas). Those plots are in the Horco Molle experimental reserve and Parque Sierra…","state":"published","temporalExtentText":"Data collected from 2020 to 2023","title":"Individual effects of mechanical and chemical control treatment on Ligustrum lucidum and other exotic species invading subtropical forests, Horco Molle, Tucumán, Argentina, 2021-2023","topic":["0/Invasive species/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorFamilyName":["Cavers","Wachowiak","Perry"],"authorFullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"authorGivenName":["S.","W.","A."],"authorOrcid":["0000-0003-2139-9236","0000-0003-2898-3523","0000-0002-7889-7597"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04g6bbq64"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The dataset contains  genotypes for samples used to validate a 50K single nucleotide polymorphism (SNP, DNA mutation) Axiom array for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex.","documentType":"GEMINI_DOCUMENT","familyName":["Cavers","Wachowiak","Perry"],"fullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","A.","Stephen"],"identifier":"7ee55609-d6b1-4693-8b36-2bf84fef76c2","incomingCitationCount":1,"keyword":["Biodiversity","Environmental survey","Natural selection ","Speciation ","Divergence ","Polymorphism ","Genotyping ","SNPs","Population genomics ","Genomic ","Micoarray "],"keywordsOther":["Natural selection ","Speciation ","Divergence ","Polymorphism ","Genotyping ","SNPs","Population genomics ","Genomic ","Micoarray "],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"Samples &  Validation of the array was carried out using a subset of 87 samples, which included four species of pine (Pinus sylvestris: SY; P. mugo: MU; P. uncinata: UN; P. uliginosa: UL). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1%  agarose gel.\n\n Genotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC 'high' ≥ 0.82; DQC 'low' < 0.82; CR 'high' ≥ 96; CR 'low' < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-18.359 37.192, -18.359 67.115, 24.839 67.115, 24.839 37.192, -18.359 37.192))"],"metadataDate":"2026-07-25T06:58:41.000Z","orcid":["0000-0003-2139-9236","0000-0003-2898-3523","0000-0002-7889-7597"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7ee55609-d6b1-4693-8b36-2bf84fef76c2","10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2","doi:10.5285/7ee55609-d6b1-4693-8b36-2bf84fef76c2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04g6bbq64","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains  genotypes for samples used to validate a 50K single nucleotide polymorphism (SNP, DNA mutation) Axiom array for Scots pine (Pinus sylvestris) and closely related members of the Pinus mugo complex.","state":"published","title":"Scots pine single nucleotide polymorphism (SNP) genotypes for Axiom array validation","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorGivenName":["L","H","R","M","C"],"authorOrcid":["0000-0003-2530-2120"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","familyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["L","H","R","M","C","Luke"],"grant":["NE/V005847/1"],"identifier":"0bfdfa23-15f8-4ffd-b1dc-e77178af0304","incomingCitationCount":0,"keyword":["Environmental risk","Pollution","Soil","Water quality","plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsOther":["plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsTheme":["Environmental risk","Pollution","Soil","Water quality"],"licence":"Open government licence","lineage":"Mesocosm experiments were designed in two stages. For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","metadataDate":"2026-07-24T18:59:56.000Z","orcid":["0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","doi:10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony…","state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., Pow, C. J., & Quilliam, R. S. (2024). Survival and transfer potential of Salmonella enterica serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils. In Environmental Science and Pollution Research (Vol. 31, Issue 39, pp. 51353–51363). Springer Science and Business Media LLC. "],"temporalExtentText":"Data collected from 2023 to 2023","title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","White","Fellows","Quilliam"],"authorFullName":["Ormsby, M.J.","Woodford, L.","White, H.L.","Fellows, R.","Quilliam, R.S."],"authorGivenName":["M.J.","L.","H.L.","R.","R.S."],"authorOrcid":["0000-0002-3991-2336","0000-0003-2530-2120","0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of environmental UV exposure. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 21-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].\n","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","White","Fellows","Quilliam"],"fullName":["Ormsby, M.J.","Woodford, L.","White, H.L.","Fellows, R.","Quilliam, R.S."],"funder":["Natural Environment Research Council"],"givenName":["M.J.","L.","H.L.","R.","R.S."],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"57ef148f-8cfb-4ba6-b673-114b22b21613","incomingCitationCount":0,"keyword":["Pollution","biofilm","environmental pollution","ultraviolet radiation","waste management","public health","plastic waste"],"keywordsOther":["biofilm","environmental pollution","ultraviolet radiation","waste management","public health","plastic waste"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Biofilm formation, persistence, pathogenicity, and die-off rates of Salmonella were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments and analysed by CFU analysis. Persistence was assessed by recovering Salmonella from biofilms over 28 days, followed by serial dilution, selective plating, and confirmatory PCR targeting the ttr gene.\n\nPathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Die-off rates were determined by log10 transformation of CFU counts and modelled using linear regression, with statistical analyses (ANOVA, Holm-Šídák's multiple comparisons post-hoc tests) to evaluate treatment effects. Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.\n","metadataDate":"2026-09-02T08:02:29.000Z","orcid":["0000-0002-3991-2336","0000-0003-2530-2120","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57ef148f-8cfb-4ba6-b673-114b22b21613","10.5285/57ef148f-8cfb-4ba6-b673-114b22b21613","doi:10.5285/57ef148f-8cfb-4ba6-b673-114b22b21613"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of environmental UV exposure. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C),…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Survival of Salmonella typhimurium on plastic waste under simulated environmental UV stress conditions","topic":["0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sawicka","Martin Hernandez","Rowe"],"authorFullName":["Sawicka, K.","Martin Hernandez, C.","Rowe, E."],"authorGivenName":["K.","C.","E."],"authorOrcid":["0000-0002-7553-3149","0009-0003-9594-0299","0000-0003-4784-7236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats. The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK. The AAE has been calculated using UK 1x1 km Concentration Based Estimated Deposition (CBED) data for 2018-20 (see related data collection). The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition. Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia).","documentType":"GEMINI_DOCUMENT","familyName":["Sawicka","Martin Hernandez","Rowe"],"fullName":["Sawicka, K.","Martin Hernandez, C.","Rowe, E."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["K.","C.","E."],"identifier":"1f71b91f-32e2-4958-aab0-9baaa4234781","incomingCitationCount":0,"keyword":["Pollution","acidity","critical load","pollutant deposition","nitrogen","nutrient nitrogen"],"keywordsOther":["acidity","critical load","pollutant deposition","nitrogen","nutrient nitrogen"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Average Accumulated Exceedance (AAE) is calculated at 1x1 km resolution and summarises the exceedance of critical loads of acidity, and of nutrient nitrogen, for multiple habitats. It is derived from the exceedance (i.e. the amount of excess acid or nitrogen deposition above the critical load) for each habitat, the exceeded habitat area and the total acid- or nitrogen-sensitive habitat area in each 1x1 km grid square.\n\nFor all habitats (except managed woodland) nutrient nitrogen, empirical critical loads have been allocated values based on habitat type and have been defined under the Coordination Centre for Effects (CCE) working group as part of the United Nations Economic Commission for Europe (UNECE) Convention on Long-range Transboundary Air Pollution UNECE. (https://wge-cce.org/Publications/Other_CCE_Reports/Review_and_revision_of_empirical_critical_loads_and_dose_response_relationships_2011) . For managed woodlands the steady state mass-balance approach is used where the long-term inputs and outputs of nitrogen from the system are calculated based on nitrogen uptake (removal by harvesting of trees), nitrogen immobilisation, denitrification, and nitrogen leaching. Acidity critical loads are based on the mineralogy and chemistry of the dominant soil type in each 1km grid square together with habitat-specific data. Critical load values are calculated depending on soil type - mineral soils or peat soils.\n\nCritical loads for acidity and nutrient nitrogen are compared with deposition data over the UK using three-year rolling mean 1x1 km Concentration Based Estimated Deposition. By overlaying CBED data of acid or nitrogen deposition on the critical loads data for acidity and nitrogen, exceedance maps can be generated. Simple statistics are further generated to quantify the area of sensitive habitats associated with critical load exceedances. Exceedances are calculated separately for each habitat type using habitat-specific deposition values: mean deposition to moorland (ie, low-growing vegetation) is applied to the coastal, grassland, heathland and montane habitats; mean deposition to forests is applied to all woodland habitats. Critical loads for terrestrial habitats are mapped at 1km resolution and national deposition data are currently available on a 5km grid. Exceedances for these habitats are calculated at 1km resolution by assuming that deposition values remain constant across each 5km grid square. Exceedances for freshwaters use catchment-weighted deposition values.\n\nFurther details are given in the supporting documentation which gives reference to the full online methodological report.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:19:45.000Z","orcid":["0000-0002-7553-3149","0009-0003-9594-0299","0000-0003-4784-7236"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Department for Environment, Food & Rural Affairs"],"publicationDate":"2024-09-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1f71b91f-32e2-4958-aab0-9baaa4234781","10.5285/1f71b91f-32e2-4958-aab0-9baaa4234781","doi:10.5285/1f71b91f-32e2-4958-aab0-9baaa4234781"],"resourceType":"Dataset","rightsHolder":["Department for Environment, Food & Rural Affairs"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00tnppw48"],"shortenedDescription":"This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution summarising the exceedances of nutrient nitrogen critical loads…","state":"published","supplementalDescription":["This dataset used this report: Rowe, E. C., Sawicka, K., Hina, N. S., Carnell, E., Martín Hernandez, C., Vieno, M., Tomlinson, S., & Jones, L. (2023). Air Pollution Trends Report 2023: Critical load and critical level exceedances in the UK. Report to Defra under Contract AQ0849, UKCEH project 07617"],"temporalExtentText":"Data collected from 2018 to 2020","title":"Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for the UK, 2018-2020","topic":["0/Pollution/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["University of Copenhagen","Centre for Ecology & Hydrology"],"authorFamilyName":["Cedergreen","Nørhave","Svendsen","Spurgeon"],"authorFullName":["Cedergreen, N.","Nørhave, N.J.","Svendsen, C.","Spurgeon, D.J."],"authorGivenName":["N.","N.J.","C.","D.J."],"authorOrcid":["0000-0003-3264-8760"],"authorRor":["https://ror.org/035b05819","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of low (plus or minus 4 °C) and high (plus or minus 8 °C) amplitude (average temperatures of 12, 16, 20 °C and 16 °C respectively)","documentType":"GEMINI_DOCUMENT","familyName":["Cedergreen","Nørhave","Svendsen","Spurgeon"],"fullName":["Cedergreen, N.","Nørhave, N.J.","Svendsen, C.","Spurgeon, D.J."],"givenName":["N.","N.J.","C.","D.J.","Claus"],"identifier":"af125e27-3b70-4f0a-81fb-a7eb10f64ef7","incomingCitationCount":1,"keyword":["Environmental risk","Pollution","Caenorhabditis elegans"],"keywordsOther":["Caenorhabditis elegans"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"Experimental design\nCulture conditions for test organism: C. elegans (N2 Bristol strain) from the C. elegans Genetics Centre, University of Minnesota) were cultivated in darkness at 20°C on nematode growth medium (NGM) agar plates and fed Escherichia coli of uracil deficient strain OP50. At least 2 weeks before the start of all experiments new cultures were initiated at the selected test temperatures to acclimatize the worms through several generations. Cultures were maintained by transferring a chunk of agar and associated eggs, juvenile and adult worms from an existing culture to freshly prepared NGM agar plates weekly.\n\nSet-up of toxicity tests: Exposures were conducted at steady temperatures of 8, 12, 16, 20 and 24°C and variable temperature scenarios with daily fluctuations of +/- 4°C in the ranges 8-16°C (12°C average), 12-20°C (16°C average) and 16-24°C (20°C average) and daily fluctuations of +/- 8°C in the ranges 8-24°C (16°C average). Temperatures were changed with a rate of 4°C per hour. Separate toxicity tests with copper were conducted under all temperature regimes using concentration known to result in changes in measured traits. Copper concentrations used were 0, 1, 3, 8, 20 and 40 mg Cu/L agar. The highest concentrations equate to levels 2-3 orders of magnitude greater than those found in surface waters and soil pore waters from uncontaminated sites, but are comparable to soil pore water concentrations in heavily polluted soils. \n\nA stock solution of CuCl2 in demineralized water (2 g Cu/L) was made and used throughout the experiment. This copper stock solution was added to the NGM agar while liquid and mixed. Batches of NGM were produced every five days during the course of the experiment to minimize immobilization of copper in the agar. All tests were conducted using synchronized cohorts of nematodes produced from adults selected from the main stock cultures acclimatized at each temperature scenario. To generate these cohorts, adult hermaphrodite worms were selected from the acclimatized cultures and placed on Petri dishes with copper spiked NGM and E. coli and left at the test temperatures for 4 hours (6 hours for 8°C to ensure sufficient eggs were laid). After this time, the adults were removed and the eggs laid in the 4 (6) hour period left to hatch. The offspring (the test organisms), once hatched and grown to the L4 larval stage on the copper spiked plates, were transferred to 12-well plates with copper spiked NGM and E. coli, with one individual per well. There were 12 replicate worms for each treatment, except the controls of 24°C constant, 8-16°C, 8-24°C and 16-24°C which had 36 replicates, and the 8°C test in which we could not always obtain 12 worms for each treatment, hence, between 6 and 12 worms were used. \n\nDuring the test, the nematodes were moved to new wells in fresh plates every day. These transfers and the associated observations allowed calculation of the time taken until first egg was laid and subsequently daily egg production. The daily transfer and counting were repeated through both the reproductive and senescence stages until death (determined by the lack of response to being probed). Fertile eggs and hatched juveniles were counted as offspring, while visibly infertile eggs were excluded from brood size counts. At regular intervals, nematode length in micrometers was measured using a Nikon DS-Fi1 camera connected to a Nikon SMZ 800 stereomicroscope. Body length was measured using the program Nikon NIS Elements Imaging Software 3.2 to provide a description of growth pattern. \n\nCopper analysis: The copper content in the water fraction of the agar was determined one and five days after production. This allowed us to distinguish dissolved copper and agar bound copper (which may not have been fully bioavailable). Samples of NGM from each produced batch were saved in centrifuge tubes and, after one or five days, centrifuged at 10000 G for five minutes to separate water and agar. A sample of the water fraction was removed and acidified. The analyses were performed on a graphite furnace AAS (Perkin Elmer Zeeman 5100, Waltham, MA) . Blanks, spiked reference samples and a standard reference material NIST 1577c (bovine liver) were included in the analysis to confirm validity. \n\nData structure: Data structure for columns.\n\nPlate: Gives the TC-plate number. Treatments were randomised at different plates.\nReplicate: Gives the replicate number\nCu: Gives the Cu-concentrations in mg/L agar\nDay: Gives the day after the eggs are layed.\nLength: Is given in µm (micrometers). Length measurements on individuals were started when the worms reached the L4 larval stage and were moved to individual wells.\n\nOffspring: Is the number of fertile eggs and larvae counted. If there are no eggs a zero is written. When the nematode is dead, nothing is written in the cell henceforth. All times after the last zero, the worm is dead. The experiment is terminated when the last worm died, indicated by end of the orange area.\n\nStatistics: Differences between temperature treatments for brood size, lifespan and maximal length of non-Cu exposed nematodes were tested by a one-way ANOVA with a Tukey post hoc analysis using the R statistical software version 2.12.0 (http://www.r-project.org/).\n\nThe average cumulative egg production as a function of time for each treatment was described by a three parameter log-logistic sigmoid model (equation 1) using the statistical software R version 2.12.0 within the DRC package.. \n\ny = d/(1+(x/e)^b)\t\t\t\t\t\t\t(Equation 1)\n\nwhere d is the maximum number of eggs produced, e is the time when half the maximum number of eggs is produced, b is proportional to the slope of the sigmoid curve at e, y is the accumulated number of produced eggs and x is the time. From this model the estimated time to first egg (TFE) was calculated by solving x for y equal to 1/d. The DRC package returns a standard error with the estimate.","metadataDate":"2026-07-25T13:24:12.000Z","orcid":["0000-0003-3264-8760","0000-0001-7281-647X"],"organisation":["University of Copenhagen","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af125e27-3b70-4f0a-81fb-a7eb10f64ef7","10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7","doi:10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/035b05819","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Temperature and copper effects on the nematode Caenorhabditis elegans ","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","jone"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Wildlife Farming Company"],"authorFamilyName":["Savage","Woodcock","Bullock","Peyton","Hulmes","Nowakowski","Pywell"],"authorFullName":["Savage, J.","Woodcock, B.A.","Bullock, J.M.","Peyton, J.","Hulmes, S.","Hulmes, L.","Nowakowski, M.","Pywell, R.F."],"authorGivenName":["J.","B.A.","J.M.","S.","L.","M.","R.F."],"authorOrcid":["0000-0002-5280-5148","0000-0003-0300-9951","0000-0003-0529-4020","0000-0002-8313-6194","0000-0001-8583-540X","0000-0003-0637-3708","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset describes the effects of different management techniques on grassland biomass production (dry matter yield), nutritional quality (herbage nitrogen content), pollinator communities (abundance and species richness), predatory beetle communities (abundance, species richness and biomass), and soil health (bulk density, total soil carbon and nitrogen). Data was collected from a site in Berkshire (UK), where a field-scale, randomised block experiment had been implemented to investigate how the establishment of a variety of plant functional groups (grasses, legumes, and other flowering forbs) using different cultivation (minimum tillage and deep ploughing) and management (cutting, grazing and their intensity) techniques, affected the provision of various ecosystem services.","documentType":"GEMINI_DOCUMENT","familyName":["Savage","Woodcock","Bullock","Peyton","Hulmes","Nowakowski","Pywell"],"fullName":["Savage, J.","Woodcock, B.A.","Bullock, J.M.","Peyton, J.","Hulmes, S.","Hulmes, L.","Nowakowski, M.","Pywell, R.F."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["J.","B.A.","J.M.","S.","L.","M.","R.F.","Joanna"],"grant":["BD1466"],"identifier":"984b1001-82f1-4ba0-aa1e-412f85d9d24f","incomingCitationCount":0,"keyword":["Berkshire","Agriculture","Biodiversity","Ecosystem services","Land use","Pollinators","Soil","natural pest control","sustainable intensification","legumes","forbs","pest control","grass","grassland"],"keywordsOther":["natural pest control","sustainable intensification","legumes","forbs","pest control","grass","grassland"],"keywordsPlace":["Berkshire"],"keywordsTheme":["Agriculture","Biodiversity","Ecosystem services","Land use","Pollinators","Soil"],"licence":"Open government licence","lineage":"All surveyors and laboratory workers were trained and followed standardised protocols in all cases. Specific forms were used for recording data in the field and in the lab. The data were checked for anomalous entries. Details of the methodologies have been published (see “other useful information regarding this dataset”).","locations":["POLYGON((-0.703 51.45, -0.703 51.453, -0.698 51.453, -0.698 51.45, -0.703 51.45))"],"metadataDate":"2026-09-15T08:45:01.000Z","orcid":["0000-0002-5280-5148","0000-0003-0300-9951","0000-0003-0529-4020","0000-0002-8313-6194","0000-0001-8583-540X","0000-0003-0637-3708","0000-0001-6431-9959"],"organisation":["Centre for Ecology & Hydrology","Wildlife Farming Company","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/984b1001-82f1-4ba0-aa1e-412f85d9d24f","10.5285/984b1001-82f1-4ba0-aa1e-412f85d9d24f","doi:10.5285/984b1001-82f1-4ba0-aa1e-412f85d9d24f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset describes the effects of different management techniques on grassland biomass production (dry matter yield), nutritional quality (herbage nitrogen content), pollinator communities (abundance and species richness), predatory beetle communities (abundance,…","state":"published","supplementalDescription":["Woodcock, B.A., Savage, J., Bullock, J.M., Nowakowski, M., Orr, R., Tallowin, J.R.B., & Pywell, R.F. (2014). Enhancing floral resources for pollinators in productive agricultural grasslands. Biological Conservation, 171, 44–51.","Woodcock, B.A., Savage, J., Bullock, J.M., Nowakowski, M., Orr, R., Tallowin, J.R.B., & Pywell, R.F. (2013). Enhancing beetle and spider communities in agricultural grasslands: The roles of seed addition and habitat management. Agriculture, Ecosystems & Environment, 167, 79–85."],"temporalExtentText":"Data collected from 2009 to 2012","title":"Impact of grassland management on biomass production and nutritional quality, invertebrate communities, and soil health in Berkshire (UK) 2009-2012","topic":["0/Agriculture/","0/Biodiversity/","0/Ecosystem services/","0/Land use/","0/Pollinators/","0/Soil/"],"version":1.0,"view":["public","marharv"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2021 (note that 2017 was a pilot year and has less data than subsequent years, and that the survey first became active in Northern Ireland in 2021, which was a pilot year in that country).\n\nThis survey uses pan-traps positioned on transects within a randomly allocated set of 1 km squares across the UK. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-trap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.)\n\nUK PoMS is coordinated by UKCEH, with involvement from the following partners: Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds, and working with recording schemes and societies.\n\nUKPoMS is advised and supported by a Steering Group, involving UKCEH, JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, and SASA.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme"],"funder":["Department for Environment Food and Rural Affairs","Welsh Government","Joint Nature Conservation Committee","Scottish Government","Department of Agriculture, Environment and Rural Affairs","Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"9df83130-e98f-48b0-bbfc-32f5920eedb0","incomingCitationCount":0,"keyword":["pan-traps","environmental monitoring","flora (biology)","syrphidae","hoverflies","apidae","insect","UK Pollinator Monitoring Scheme (PoMS)","Pollinators"],"keywordsInstrument":["pan-traps","environmental monitoring","flora (biology)","syrphidae","hoverflies","apidae","insect"],"keywordsProject":["UK Pollinator Monitoring Scheme (PoMS)"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Data are collected by PoMS volunteers and staff from up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August/September.  There will be gaps in the data where a square cannot be visited during a particular year or month. At each visit, five pan-traps are positioned in a transect across the 1 km square, and left in position for approx. six hours. The insects trapped are returned to the PoMS laboratory, where all insects are sorted into main taxonomic groupings and counted, and all bees and hoverflies are passed to taxonomic experts for identification to species level where possible.\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided that show plants in flower in the vicinity of the pan-traps; bee and hoverfly identifications are cross-checked by multiple taxonomists for all rare and apparently out-of-range occurrences, plus a random sample of other occurrences.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:25:23.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment, Food & Rural Affairs","Welsh Government","Scottish Government","Joint Nature Conservation Committee"],"publicationDate":"2024-07-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9df83130-e98f-48b0-bbfc-32f5920eedb0","10.5285/9df83130-e98f-48b0-bbfc-32f5920eedb0","doi:10.5285/9df83130-e98f-48b0-bbfc-32f5920eedb0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment, Food & Rural Affairs","Welsh Government","Scottish Government","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00wngta72","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/039zvsn29","https://ror.org/05v62cm79","https://ror.org/024mrxd33","https://ror.org/00tnppw48","https://ror.org/000wh6t45","https://ror.org/04v2xmd71","https://ror.org/01jksdf22","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2021 (note that 2017 was a pilot year and has less data than subsequent years, and that…","state":"published","temporalExtentText":"Data collected from 2017 to 2021","title":"Pan-trap survey data from the UK Pollinator Monitoring Scheme, 2017-2021","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["British Geological Survey","Imperial College London","Ashoka Trust for Research in Ecology and the Environment","British Geological Survey ","T.M. Bhagalpur University"],"authorFamilyName":["Ó Dochartaigh","O'Keeffe","Nair","Jackson","Krishnaswamy","Chaudhary","MacDonald"],"authorFullName":["Ó Dochartaigh, B.","O'Keeffe, J.","Nair, T.","Jackson, C.","Krishnaswamy, J.","Chaudhary, S.","MacDonald, A."],"authorGivenName":["B.","J.","T.","C.","S.","A."],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/041kmwe10","https://ror.org/02e22ra24","https://ror.org/009p4eg54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains stable isotope data from surface and groundwater samples collected in the Gandak Basin, north India. The data was collected between March 2017 and February 2019. These measurements were taken to improve understanding of surface and subsurface water interconnections and movement through river and canal networks and underlying aquifers.\n\nThe data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1","documentType":"GEMINI_DOCUMENT","familyName":["Ó Dochartaigh","O'Keeffe","Nair","Jackson","Krishnaswamy","Chaudhary","MacDonald"],"fullName":["Ó Dochartaigh, B.","O'Keeffe, J.","Nair, T.","Jackson, C.","Krishnaswamy, J.","Chaudhary, S.","MacDonald, A."],"funder":["Natural Environment Research Council"],"givenName":["B.","J.","T.","C.","S.","A.","Jimmy"],"grant":["NE/N01670X/1"],"identifier":"09ae86d6-896f-430f-aab4-c5b46c265213","incomingCitationCount":1,"keyword":["Gandak river","Coupled Human and Natural Systems Environment (CHANSE)","Environmental survey","Hydrology","isotope","groundwater","surface water"],"keywordsOther":["isotope","groundwater","surface water"],"keywordsPlace":["Gandak river"],"keywordsProject":["Coupled Human and Natural Systems Environment (CHANSE)"],"keywordsTheme":["Environmental survey","Hydrology"],"licence":"Open government licence","lineage":"Stable isotope values for 108 water samples collected in the Gandak River Basin, in Bihar, India are presented, with accompanying values for SEC (specific electrical conductivity) for most of these samples. Samples were collected between February 2017 and February 2019, of surface water, groundwater and rainfall. Most groundwater samples were sampled from boreholes or wells that were in regular daily use. Samples were unfiltered and were bottled at source in Nalgene sample bottles, filled to brim to avoid air, and labelled at source. SEC was measured at source using a field SEC meter. Samples were analysed for the stable isotopes deuterium and oxygen-18 by mass spectrometry, at British Geological Survey laboratories in the UK. Further details can be found in the supporting information.\n\n Samples were taken by staff from the British Geological Survey, Imperial College London, Tilka Manjhi Bhagalpur University, Bihar and Ashoka Trust for Research in Ecology and the Environment (ATREE). \n\nThe data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1.","locations":["POLYGON((81.124 25.145, 81.124 28.476, 88.154 28.476, 88.154 25.145, 81.124 25.145))"],"metadataDate":"2026-09-15T08:42:09.000Z","organisation":["British Geological Survey","Imperial College London","Ashoka Trust for Research in Ecology and the Environment","British Geological Survey ","T.M. Bhagalpur University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/09ae86d6-896f-430f-aab4-c5b46c265213","10.5285/09ae86d6-896f-430f-aab4-c5b46c265213","doi:10.5285/09ae86d6-896f-430f-aab4-c5b46c265213"],"resourceType":"Dataset","ror":["https://ror.org/04a7gbp98","https://ror.org/041kmwe10","https://ror.org/02e22ra24","https://ror.org/009p4eg54","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains stable isotope data from surface and groundwater samples collected in the Gandak Basin, north India. The data was collected between March 2017 and February 2019. These measurements were taken to improve understanding of surface and subsurface water…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Surface and groundwater stable isotope analysis using water samples taken from the Gandak River Basin, Bihar, India, 2017-2019","topic":["0/Environmental survey/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["D.","A.","J.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly intervals and intermittently during periods of high flows. All sites were samples from early 1994 to the end of 1996 except for O12, which was sampled from November 1994 till November 1996. The sampling was carried out by the LOIS team at York University. The unfiltered samples were transported to the Institute of Terrestrial Ecology, Monks Wood, UK, where they were extracted with hexane, cleaned up by alumina column chromatography, concentrated and then analysed for CBs by Gas Chromatography-Mass Spectrometry (GC-MS) and PCBs and OCs by Gas Chromatography with Electron Capture Detection (GC-ECD).","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore","Fry"],"fullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R.","Fry, M."],"givenName":["D.","A.","J.","N.","I.","R.","Matt"],"identifier":"40ba6fd0-3d41-4520-8d78-cc8c893fd974","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsOther":["water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"licence":"Open government licence","lineage":"Prior to analysis the samples were stored in the dark at 4 degreesC. The sample (500ml) was transferred to a volumetric flask and extracted with 5 x 10ml aliquots of hexane. The hexane extract was transferred to a to a Kuderna-danish flask via a funnel containing anhydrous sodium sulphate and reduced to approx. 1.5ml at 80 degreesC. The extract was adjusted to exactly 1.0ml under a stream of nitrogen. The whole of the reduced extract was cleaned up on a glass column containing 0.8g of alumina deactivated with 5% water. The cleaned up extract was then reduced to 0.5ml under a stream of nitrogen. An internal standard was added (Dichlobenyl) and each extract split equally into two chromatography vials. Chlorobenzenes were analysed by GC-MS in select ion mode. Organochlorine pesticides and PCB congeners were analysed by GC-ECD. A spiked recovery and a sample blank were included with each batch of samples. The results were not corrected for recovery losses. Limits of detection were defined as the concentration of analyte that gives a signal twice that of the baseline noise. Blank sample bottles were taken into the field during sample collection and opened and closed on site. The blank bottles were extracted with 5 x 10ml of hexane and the hexane extracts analysed by the procedure used for the samples. Spiked recovery samples (hexane washed HPLC grade water, containing 0.5g of clean clay particles, spiked with all the analytes) were included in each batch. OCs and PCBs were identified by relative retention time. CBs were identified by relative retention time and ion ratios (3 ions). Calibration was by the internal standard method. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-09-15T08:45:20.000Z","organisation":["University of York","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373030045461","CEH:EIDC::1373030045461","https://catalogue.ceh.ac.uk/id/40ba6fd0-3d41-4520-8d78-cc8c893fd974","10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974","doi:10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly…","state":"published","temporalExtentText":"Data collected from 1993 to 1997","title":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from rivers [LOIS]","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Manchester"],"authorFamilyName":["Johnson","Voller"],"authorFullName":["Johnson, D.","Voller, F."],"authorGivenName":["David","F"],"authorOrcid":["0000-0003-2299-2525","0000-0002-3159-488X"],"authorRor":["https://ror.org/027m9bs27"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Seedlings were grown in soil collected from an experiment at Hambleton Forest, North Yorkshire. Soils originated from plots containing either Scots pine or birch monocultures, or a mixture of both species.  In the lab, pairs of seedlings of birch and Scots pine were grown as monocultures and mixtures from each of the three plot treatments.  The data represent the biomass, leaf C:N ratio and mycorrhizal status determined after 20 weeks.","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Voller"],"fullName":["Johnson, D.","Voller, F."],"funder":["Natural Environment Research Council"],"givenName":["David","F","D."],"identifier":"7991871e-382f-422f-b5b2-91b4f6d8598f","incomingCitationCount":0,"keyword":["Hambleton Forest","North Yorkshire","Ectomycorrhiza","Plantation","seedling","Productivity","productivity","birch","Scots pine","biomass","mycorrhiza","carbon","nitrogen"],"keywordsOther":["Ectomycorrhiza","Plantation","seedling","Productivity","productivity","birch","Scots pine","biomass","mycorrhiza","carbon","nitrogen"],"keywordsPlace":["Hambleton Forest","North Yorkshire"],"licence":"Open government licence","lineage":"Soils were collected and transported to the lab and sieved.  Conetainers were filled with sieved soil and non-mycorrhizal seedlings germinated for 2-4 weeks were placed in the containers and transferred to a controlled environment chamber for 20 weeks. Plants were extracted, roots removed and assayed for colonisation under a microscope, and leafs dried, weighed, ground and analysed on a CN analyser.\n\nC and N analysis was using a CUBE elemental analyser and included known standards to check for drift and precision.\n\nBalances are calibrated regularly.\n\nData were imported into Excel and plotted to check for any outliers.","locations":["POLYGON((-2.274 53.716, -2.274 54.588, -0.481 54.588, -0.481 53.716, -2.274 53.716))"],"metadataDate":"2026-07-25T06:55:37.000Z","orcid":["0000-0003-2299-2525","0000-0002-3159-488X"],"organisation":["University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7991871e-382f-422f-b5b2-91b4f6d8598f","10.5285/7991871e-382f-422f-b5b2-91b4f6d8598f","doi:10.5285/7991871e-382f-422f-b5b2-91b4f6d8598f"],"resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"shortenedDescription":"Seedlings were grown in soil collected from an experiment at Hambleton Forest, North Yorkshire. Soils originated from plots containing either Scots pine or birch monocultures, or a mixture of both species.  In the lab, pairs of seedlings of birch and Scots pine were…","state":"published","title":"Biomass, mycorrhizal colonization, carbon and nitrogen content of Scots pine and birch seedlings grown in soil from mixed and monoculture stands","version":1.0,"view":["public","glenn"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=10&facet=availability%7CAvailable"}