{"numFound":1222,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=funder%7CNatural+Environment+Research+Council","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=funder%7CNatural+Environment+Research+Council","results":[{"publicationDate":"2025-07-11T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation","University of North Texas","University of Aberdeen","Eco2librium Company Ltd","Wildlife Research & Training Institute","Unaffiliated","Kenya Forest Service"],"authorGivenName":["J.M.","P.","R.K."," A.J.","E.S.","C.","J.M.J.","E.","A.","D.","L.","H.","G."],"authorFamilyName":["Bullock","Beier","Broughton","Gregory","Spence","Burkett","Travis","Amutabi","Analo","Atai","Espira","Kipleting","Juma","Lukaria","Makalasia","Malema","Wendot"],"authorFullName":["Bullock, J.M.","Beier, P.","Broughton, R.K.","Gregory, A.J.","Spence, E.S.","Burkett, C.","Travis, J.M.J.","Amutabi, C.","Analo, C.","Atai, E.","Espira, A.","Kipleting, D.","Juma, C.","Lukaria, L.","Makalasia, C.","Malema, H.","Wendot, G."],"authorOrcid":["https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-4297-4343","https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0003-1905-3236","https://orcid.org/0000-0003-1595-0167","https://orcid.org/0000-0002-5785-4272"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02bv7qz69","https://ror.org/00v97ad02","https://ror.org/016476m91","https://ror.org/0526r9902"],"catalogue":"eidc","description":"This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Kenya between 2021 and 2022. The trapping data include dates of setting, checking and removal at multiple locations. Trapping at each location typically involved 3-5 nights per trap line, but this could vary. The trap lines typically comprised 12 pairs of traps each set 10 metres apart along a transect line, with geographical coordinates for the centre of a pair of traps along the trap line. Animals were primarily captured for tissue collection for genetic analysis (not included in this dataset) to investigate the effectiveness of habitat corridors for promoting movement.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","U.S. National Science Foundation (NSF)"],"grant":["NE/T006935/1"],"identifier":"de1d9de7-c0b9-4e53-b848-334bcf120d2c","incomingCitationCount":0,"givenName":["J.M.","P.","R.K."," A.J.","E.S.","C.","J.M.J.","E.","A.","D.","L.","H.","G."],"familyName":["Bullock","Beier","Broughton","Gregory","Spence","Burkett","Travis","Amutabi","Analo","Atai","Espira","Kipleting","Juma","Lukaria","Makalasia","Malema","Wendot"],"fullName":["Bullock, J.M.","Beier, P.","Broughton, R.K.","Gregory, A.J.","Spence, E.S.","Burkett, C.","Travis, J.M.J.","Amutabi, C.","Analo, C.","Atai, E.","Espira, A.","Kipleting, D.","Juma, C.","Lukaria, L.","Makalasia, C.","Malema, H.","Wendot, G."],"keyword":["Biodiversity","Environmental survey","carnivores","forest","animal corridor","habitat corridors","mustelid","rodent","Sherman traps","woodland ecosystem","woodland"],"keywordsTheme":["Biodiversity","Environmental survey"],"keywordsOther":["carnivores","forest","animal corridor","habitat corridors","mustelid","rodent","Sherman traps","woodland ecosystem","woodland"],"licence":"Open government licence","lineage":"Animals were captured during standardized trapping surveys with Sherman traps, and Tomahawk traps in systematic arrays. Trapping targeted small-medium sized rodents, carnivores and opossums. Captured animals were identified to species, marked individually, biometrics were recorded (ear size, hind foot and tail length), and tissue samples were collected, generally from the ear. The animals were then released alive. Trap and capture data are linked via a primary key field.\nAt each trap check, data from captured animals were recorded in the field on data sheets, and then later computerized by entering into spreadsheets. Data were checked against original field records for quality assurance and validation.\n","locations":["POLYGON((33.559 -4.912, 33.559 5.269, 42.084 5.269, 42.084 -4.912, 33.559 -4.912))"],"orcid":["https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-4297-4343","https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0003-1905-3236","https://orcid.org/0000-0003-1595-0167","https://orcid.org/0000-0002-5785-4272"],"organisation":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation","University of North Texas","University of Aberdeen","Eco2librium Company Ltd","Wildlife Research & Training Institute","Unaffiliated","Kenya Forest Service","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de1d9de7-c0b9-4e53-b848-334bcf120d2c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Center for Large Landscape Conservation"],"ror":["https://ror.org/00pggkr55","https://ror.org/02bv7qz69","https://ror.org/00v97ad02","https://ror.org/016476m91","https://ror.org/0526r9902","https://ror.org/04xw4m193"],"state":"published","title":"Monitoring data from small mammal trapping in forest habitats in Kenya, 2021-2022","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","elsdhi"],"shortenedDescription":"This dataset contains information on the trap-setting operations and the number and species of animals captured during systematic sampling surveys in natural habitats of Kenya between 2021 and 2022. The trapping data include dates of setting, checking and removal at..."},{"publicationDate":"2024-03-06T00:00:00.000+00:00","authorAffiliation":["University of California","University of Exeter"],"authorGivenName":["P.A.","F.J.","M.A."],"authorFamilyName":["Green","Thompson","Cant"],"authorFullName":["Green, P.A.","Thompson, F.J.","Cant, M.A."],"authorOrcid":["https://orcid.org/0000-0002-2434-8795","https://orcid.org/0000-0001-7581-2204","https://orcid.org/0000-0002-1530-3077"],"catalogue":"eidc","description":"These data are data on the outcomes of contests between groups of banded mongooses in Mweya Peninsula, Uganda. Data were collected between 2000 and 2019. The data include information on group membership (number and sex of individuals, age, etc…) as well as physiological data (weight), genetic data (pedigree), and behavioural data (contest outcomes, eviction). ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009914/1"],"identifier":"be44b9c1-7355-4894-8f0d-b57b219b249b","incomingCitationCount":0,"givenName":["P.A.","F.J.","M.A.","Patrick"],"familyName":["Green","Thompson","Cant"],"fullName":["Green, P.A.","Thompson, F.J.","Cant, M.A.","Green, P."],"keyword":["Animal behaviour","Social evolution","Contests","Pedigree","Mungos mungo","Banded mongoose"],"keywordsTheme":["Animal behaviour"],"keywordsOther":["Social evolution","Contests","Pedigree","Mungos mungo","Banded mongoose"],"licence":"Open government licence","lineage":"The data are collected by a team in Uganda and then transferred to researchers in the UK for filtering and organization. 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Data were collected between 2000 and 2019. The data include information on group membership (number and sex of individuals, age, etc…) as well as physiological..."},{"publicationDate":"2017-04-21T00:00:00.000+00:00","authorAffiliation":["University of Edinburgh","The University of Edinburgh","Department of Livestock and Veterinary Services, Zimbabwe","Central Veterinary Research and Diagnostic Laboratory, Zimbabwe"],"authorGivenName":["M.","F.","L.C.","N.E.","W.","L.","L.F.","E."],"authorFamilyName":["Goodwin","Webber","Hamill","Anderson","Shereni","Nyakupinda","Gwenhure","Macleod"],"authorFullName":["Goodwin, M.","Webber, F.","Hamill, L.C.","Anderson, N.E.","Shereni, W.","Nyakupinda, L.","Gwenhure, L.F.","Macleod, E."],"authorOrcid":["https://orcid.org/0000-0003-0823-4998","https://orcid.org/0000-0002-1810-9640","https://orcid.org/0000-0003-3992-326X","https://orcid.org/0000-0001-7192-7717","https://orcid.org/0000-0002-9427-4349","https://orcid.org/0000-0003-4768-0392","https://orcid.org/0000-0001-8299-3082","https://orcid.org/0000-0002-5517-0619"],"authorRor":["https://ror.org/01nrxwf90"],"catalogue":"eidc","description":"The data set includes the results of a laboratory analysis in 2016, investigating the presence of trypanosomes and prevalence of tsetse endosymbionts in tsetse flies. The tsetse flies were sampled in Hurungwe District, Mashonaland West Province, Zimbabwe, from February 2014 to November 2014. Flies were sampled using a combination of Epsilon traps and fly rounds, both established techniques for sampling tsetse. Tsetse were stored prior to laboratory analysis using Polymerase chain reaction (PCR) techniques in 2016. The data include two species of tsetse, Glossina pallidipes and Glossina morsitans morsitans. Trypanosome species investigated include Trypanosoma brucei s.l., T. b. rhodesiense, T. vivax, T. congolense, T. simiae, T.simiae (Tsavo) and T. godfreyi. Endosymbionts included in the study were Sodalis glossinidius and Wolbachia spp. Hurungwe District is the only sleeping sickness focus in Zimbabwe and an increase in cases had been detected in years preceding this study. The objective of the study was to investigate the trypanosome species present in the tsetse population and their association with tsetse endosymbionts. This study was conducted as part of research into the relationship between trypanosomiasis, well-being and ecosystems by the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC  with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). 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Tsetse were sampled using Epsilon traps and fly rounds as described by Shereni et al. (2016). Tsetse were stored in cryotubes with desiccant beads at room temperature. DNA was extracted from the tsetse using Qiagen DNeasy kits and then subjected to polymerase chain reactions (PCR) to detect the primary endosymbiont, Wigglesworthia glossindia. Samples from which no DNA was amplified were discounted from further molecular analysis. All remaining samples were subjected to PCR reactions to detect African trypanosomes and the secondary tsetse symbionts, Sodalis glossinidius and Wolbachia. All PCRs included a negative and a positive control. The data were collated in an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC.","locations":["POLYGON((28.855 -16.701, 28.855 -15.929, 30.009 -15.929, 30.009 -16.701, 28.855 -16.701))"],"orcid":["https://orcid.org/0000-0003-0823-4998","https://orcid.org/0000-0002-1810-9640","https://orcid.org/0000-0003-3992-326X","https://orcid.org/0000-0001-7192-7717","https://orcid.org/0000-0002-9427-4349","https://orcid.org/0000-0003-4768-0392","https://orcid.org/0000-0001-8299-3082","https://orcid.org/0000-0002-5517-0619"],"organisation":["The Royal (Dick) School of Veterinary Studies, University of Edinburgh","University of Edinburgh","The University of Edinburgh","Department of Livestock and Veterinary Services, Zimbabwe","Central Veterinary Research and Diagnostic Laboratory, Zimbabwe","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e435dd3-ed93-4961-a136-ffa477731e1c","10.5285/1e435dd3-ed93-4961-a136-ffa477731e1c"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"state":"published","title":"Tsetse trypanosome and endosymbiont data from Hurungwe District, Zimbabwe (2016)","version":1.0,"view":["public","danor"],"shortenedDescription":"The data set includes the results of a laboratory analysis in 2016, investigating the presence of trypanosomes and prevalence of tsetse endosymbionts in tsetse flies. The tsetse flies were sampled in Hurungwe District, Mashonaland West Province, Zimbabwe, from February..."},{"publicationDate":"2025-03-03T00:00:00.000+00:00","authorAffiliation":["University of South Florida","University of Glasgow","Cary Institute","University of Sydney","University of New South Wales","Cornell University","Wildlife Health Ecology Research Organization"],"authorGivenName":["A.M.","C.L.","A.A.","I.R.","A.J.","P.","M.","B.","R.K.","B.A."],"authorFamilyName":["Kramer","Faust","Castellanos","Fischhoff","Peel","Eby","Ruiz-Aravena","Borremans","Plowright","Han"],"authorFullName":["Kramer, A.M.","Faust, C.L.","Castellanos, A.A.","Fischhoff, I.R.","Peel, A.J.","Eby, P.","Ruiz-Aravena, M.","Borremans, B.","Plowright, R.K.","Han, B.A."],"authorOrcid":["https://orcid.org/0000-0002-9031-6580","https://orcid.org/0000-0002-8824-7424","https://orcid.org/0000-0002-3412-0487","https://orcid.org/0000-0001-6956-8284","https://orcid.org/0000-0003-3538-3550","https://orcid.org/0000-0001-5441-2682","https://orcid.org/0000-0001-8463-7858","https://orcid.org/0000-0002-7779-4107","https://orcid.org/0000-0002-3338-6590","https://orcid.org/0000-0002-9948-3078"],"authorRor":["https://ror.org/032db5x82","https://ror.org/00vtgdb53","https://ror.org/01dhcyx48","https://ror.org/0384j8v12","https://ror.org/03r8z3t63","https://ror.org/05bnh6r87"],"catalogue":"eidc","description":"The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.\nThe dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596).\nThese data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty.","documentType":"GEMINI_DOCUMENT","funder":["U.S. Defense Advanced Research Projects Agency ","U.S. National Science Foundation EEID program ","Natural Environment Research Council","U.S. National Science Foundation CNH","U.S. National Science Foundation Rules of Life"],"grant":["PREEMPT D18AC00031","DEB-1717282","NE/V014730/1","DEB-1716698","EF-2133763","EF-2231624"],"identifier":"93bb37c6-ef86-4386-945d-c1a3d1e2683c","incomingCitationCount":0,"givenName":["A.M.","C.L.","A.A.","I.R.","A.J.","P.","M.","B.","R.K.","B.A."],"familyName":["Kramer","Faust","Castellanos","Fischhoff","Peel","Eby","Ruiz-Aravena","Borremans","Plowright","Han"],"fullName":["Kramer, A.M.","Faust, C.L.","Castellanos, A.A.","Fischhoff, I.R.","Peel, A.J.","Eby, P.","Ruiz-Aravena, M.","Borremans, B.","Plowright, R.K.","Han, B.A."],"keyword":["Australia","black flying fox","virus","Hendra virus","Pteropus"],"keywordsPlace":["Australia"],"keywordsOther":["black flying fox","virus","Hendra virus","Pteropus"],"licence":"Open government licence","lineage":"Each of the data objects (1,000 per component model) is related to training a component model using data sampled with replacement. These data objects are trained on field observations of host conditions (food shortage, rehabilitation admissions or formation of new roost) or locations and occupation of roost by black flying foxes (key Hendra virus host). Model parameters, predictor variables, and training are all described in the supplementary information. Each iteration only differs slightly in the training and testing data due to this resampling with replacement, allowing for slight variation in prediction among the runs. ","locations":["POLYGON((136.492 -44.335, 136.492 -8.836, 154.334 -8.836, 154.334 -44.335, 136.492 -44.335))"],"orcid":["https://orcid.org/0000-0002-9031-6580","https://orcid.org/0000-0002-8824-7424","https://orcid.org/0000-0002-3412-0487","https://orcid.org/0000-0001-6956-8284","https://orcid.org/0000-0003-3538-3550","https://orcid.org/0000-0001-5441-2682","https://orcid.org/0000-0001-8463-7858","https://orcid.org/0000-0002-7779-4107","https://orcid.org/0000-0002-3338-6590","https://orcid.org/0000-0002-9948-3078"],"organisation":["University of South Florida","University of Glasgow","Cary Institute","University of Sydney","University of New South Wales","Cornell University","Wildlife Health Ecology Research Organization","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/93bb37c6-ef86-4386-945d-c1a3d1e2683c","10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/032db5x82","https://ror.org/00vtgdb53","https://ror.org/01dhcyx48","https://ror.org/0384j8v12","https://ror.org/03r8z3t63","https://ror.org/05bnh6r87","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["The environmental features that are used as input data to generate the component models are stored on figshare.","Methods are detailed in the preprint.","The code to generate the component models and run multi-scale models can be found on the github repository."],"supplementalName":["Input data to multi-scale model of Hendra virus dynamics","Integrating predictors of host condition into spatiotemporal multi-scale models of virus shedding"," BatOneHealth github repository"],"title":"Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019","version":1.0,"view":["public","elsdhi"],"shortenedDescription":"The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.\nThe dataset contains predictions of three proxies for host conditions (including..."},{"publicationDate":"2025-04-03T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Royal Botanic Garden Edinburgh","Kathmandu University, Nepal","COMSATS University, Pakistan","Sherubtse College, Bhutan","The Nature Conservancy, India","University of Peradeniya","National Centre for Sustainable Coastal Management, India","Dilmah Conservation"],"authorGivenName":["A.","C.","S.P.","S.","S.A.","D.","K.","B.","T.","F.","M.A.","M.R."],"authorFamilyName":["Deshpande","Ellis","Pradhan","Sharma","Asad","Tshering","Wangchuk","Chatterjee","Weerakoon","Nissanka","Ganguly","Prabhashwara","Duarte","Stephens","Iwanicka","Sutton","Jones"],"authorFullName":["Deshpande, A.","Ellis, C.","Pradhan, S.P.","Sharma, S.","Asad, S.A.","Tshering, D.","Wangchuk, K.","Chatterjee, S.","Weerakoon, B.","Nissanka, S.P.","Ganguly, D.","Prabhashwara, T.","Duarte, F.","Stephens, A.","Iwanicka, A.","Sutton, M.A.","Jones, M.R."],"authorOrcid":["https://orcid.org/0000-0002-2095-1271"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0349vqz63","https://ror.org/036xnae80","https://ror.org/031ggcd89","https://ror.org/025h79t26"],"catalogue":"eidc","description":"The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and 2024. Monthly mean atmospheric ammonia concentrations are provided from 33 sites across the five countries. This dataset provides the first ever empirical measurements of ammonia from South Asian forests and can be used to estimate ecological impact, inform policy decisions, validate atmospheric chemistry transport models and satellite data and design future air quality and ecological monitoring in the region. The ammonia concentration data was collected monthly by deploying passive citric acid-coated samplers at the study locations.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009019/1"],"identifier":"9c4aee69-3693-4f18-97c8-ff740045f3de","incomingCitationCount":0,"givenName":["A.","C.","S.P.","S.","S.A.","D.","K.","B.","T.","F.","M.A.","M.R.","A.G."],"familyName":["Deshpande","Ellis","Pradhan","Sharma","Asad","Tshering","Wangchuk","Chatterjee","Weerakoon","Nissanka","Ganguly","Prabhashwara","Duarte","Stephens","Iwanicka","Sutton","Jones"],"fullName":["Deshpande, A.","Ellis, C.","Pradhan, S.P.","Sharma, S.","Asad, S.A.","Tshering, D.","Wangchuk, K.","Chatterjee, S.","Weerakoon, B.","Nissanka, S.P.","Ganguly, D.","Prabhashwara, T.","Duarte, F.","Stephens, A.","Iwanicka, A.","Sutton, M.A.","Jones, M.R.","Deshpande, A.G."],"keyword":["South Asia","Environmental survey","ammonia","Himalaya","forest","passive sampling","air pollution","agriculture"],"keywordsPlace":["South Asia"],"keywordsTheme":["Environmental survey"],"keywordsOther":["ammonia","Himalaya","forest","passive sampling","air pollution","agriculture"],"licence":"Open government licence","lineage":"Starting May 2022, triplicate sets of UKCEH Adapted Low-cost Passive High Absorption (ALPHA®) samplers were deployed under the forest canopy at sites buffered by at least 500 m of continuous forest on all sides. The exposed samplers were replaced with fresh ones at the end of each month. The exposed samplers from India, Nepal, Bhutan and Sri Lanka were analysed at the National Centre for Sustainable Coastal Management, Chennai and samplers from Pakistan were analysed at UKCEH, Edinburgh using the salicylate method. Blank samplers for each period were also analysed. The analysis provides the concentration of ammonium ions absorbed by each sampler. This is further converted to atmospheric ammonia concentration using an uptake rate which determined annually in the UK by co-locating the ALPHA samplers with UKCEH DEnuder for Long-Term Atmospheric sampling (DELTA®) samplers at multiple UK sites. The monthly concentration at each site is calculated as the average of the concentration measured by each sampler in the triplicate set. Obvious outliers are removed before calculating the average. Further quality assurance is performed based on comments from site operators regarding physical damage to the sampler, wet sampler, etc. ","locations":["POLYGON((66.269 3.864, 66.269 34.235, 93.873 34.235, 93.873 3.864, 66.269 3.864))"],"orcid":["https://orcid.org/0000-0002-2095-1271"],"organisation":["UK Centre for Ecology & Hydrology","Royal Botanic Garden Edinburgh","Kathmandu University, Nepal","COMSATS University, Pakistan","Sherubtse College, Bhutan","The Nature Conservancy, India","University of Peradeniya","National Centre for Sustainable Coastal Management, India","Dilmah Conservation","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c4aee69-3693-4f18-97c8-ff740045f3de","10.5285/9c4aee69-3693-4f18-97c8-ff740045f3de"],"resourceStatus":"Embargoed","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0349vqz63","https://ror.org/036xnae80","https://ror.org/031ggcd89","https://ror.org/025h79t26","https://ror.org/04xw4m193"],"state":"published","title":"Ammonia concentrations from high-elevation Himalayan forests and a Sri Lankan tropical forest, 2022-2024","topic":["0/Environmental survey/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and 2024. Monthly mean atmospheric ammonia concentrations are provided from..."},{"publicationDate":"2021-03-15T00:00:00.000+00:00","authorAffiliation":["University of Birmingham","Durham University","University of Leeds"],"authorGivenName":["G. H.","R. J.","S."],"authorFamilyName":["Sambrook Smith","Hardy","Sinha"],"authorFullName":["Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S."],"authorOrcid":["https://orcid.org/0000-0003-1031-0160"],"authorRor":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33"],"catalogue":"eidc","description":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational Fluid Dynamics (CFD) model that is able to simulate flow both in the boundary layer flow and Brinkman layer. This allows simultaneous predictions of surface and subsurface flow in one numerical scheme. The analysis is applied to undertake a numerical sensitivity experiment to assess how bed permeability influences flow over bed forms typically found in river channels e.g. dunes.\n\nFor the latter the data simulates flow around biofilm-streamers in the laminar flow regime. Numerical simulations simulate the flapping motion of a single biofilm streamer. The major thrust of the study is to investigate the impact of changing Reynolds number on hydrodynamic characteristics of the ambient flow and the frequency of biofilm oscillation.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012819/1"],"identifier":"a1fbdde5-688d-4b48-9293-12ecf5563704","incomingCitationCount":1,"givenName":["Greg","G. H.","R. J.","S."],"familyName":["Sambrook Smith","Hardy","Sinha"],"fullName":["Sambrook Smith, G.","Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S."],"keyword":["Hydrology","dunes","computational fluid dynamics","hyporheic flow","CFD"],"keywordsTheme":["Hydrology"],"keywordsOther":["dunes","computational fluid dynamics","hyporheic flow","CFD"],"licence":"Open government licence","lineage":"The numerical data was generated using computational fluid dynamics software. The permeable bed data was created using Phoenics and the biofilm streamer was created using OPENFOAM\n","orcid":["https://orcid.org/0000-0003-1031-0160"],"organisation":["University of Birmingham","Durham University","University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1fbdde5-688d-4b48-9293-12ecf5563704","10.5285/a1fbdde5-688d-4b48-9293-12ecf5563704"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Numerical model output data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational..."},{"publicationDate":"2024-07-31T00:00:00.000+00:00","authorAffiliation":["Kathmandu University","Scotland's Rural College","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture Faisalabad","University of Peradeniya","The Maldives National University","Maldives National University","Ricardo (Harwell)","University of Edinburgh","Royal University of Bhutan"],"authorGivenName":["R.","B.","A.","S.","T.","K.","A.R.","S.C.","G.K.","D.","R.N.","V.V.","M.","U.","Z.A.","F.","V."],"authorFamilyName":["Joshi","Nepal","Shrestha","Pokharel","Subodh","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Tshering","Dorji","Dendup","Eory"],"authorFullName":["Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Tshering, D.","Dorji, T.","Dendup, S.","Eory, V."],"authorRor":["https://ror.org/036xnae80","https://ror.org/044e2ja82","https://ror.org/03kkevc75","https://ror.org/00k8zt527","https://ror.org/054d77k59","https://ror.org/025h79t26","https://ror.org/00dbrh564","https://ror.org/01nrxwf90","https://ror.org/03hqan520"],"catalogue":"eidc","description":"This dataset holds survey data of individual farming households in the Terai region in Nepal relating to their nitrogen use.  The survey was conducted in 2022 and the questions covered two seasons (summer and winter) asked at a single visit in the summer season. The questions on the winter season were based on recall.\nThe data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertilizer use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies.\nThe data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. \nThe data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Pakistan and Sri Lanka.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009019/2"],"identifier":"3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","incomingCitationCount":0,"givenName":["R.","B.","A.","S.","T.","K.","A.R.","S.C.","G.K.","D.","R.N.","V.V.","M.","U.","Z.A.","F.","V.","Toritseju"],"familyName":["Joshi","Nepal","Shrestha","Pokharel","Subodh","Begho","Glenk","Anik","Sharna","Jha","Jena","Subudhi","Giri","Samal","Abbas","Pinnawala","Nissanka","Jayaweera","Wijerathna","Prabavi","Hassan","Rasheed","Shadiya","Fairooza","Avis","Jeffery","Tshering","Dorji","Dendup","Eory"],"fullName":["Joshi, R.","Nepal, B.","Shrestha, R.","Pokharel, A.","Subodh, S.","Begho, T.","Glenk, K.","Anik, A.R.","Sharna, S.C.","Jha, G.K.","Jena, D.","Subudhi, R.N.","Giri, V.V.","Samal, S.","Abbas, A.","Pinnawala, M.","Nissanka, S.","Jayaweera, A.","Wijerathna, M.","Prabavi, U.","Hassan, R.","Rasheed, Z.A.","Shadiya, F.","Fairooza, F.","Avis, K.","Jeffery, R.","Tshering, D.","Dorji, T.","Dendup, S.","Eory, V."],"keyword":["Nepal","South Asia","Agriculture","agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"keywordsPlace":["Nepal","South Asia"],"keywordsTheme":["Agriculture"],"keywordsOther":["agricultural economics","agricultural production","compost","crop production","decision making","economics","fertiliser","gender","livestock","manure","nitrogen","nitrogen use efficiency","subsidies","water"],"licence":"Open government licence","lineage":"The Terai region was purposively selected for the study as agriculture is dominant in the Terai region. Thereafter, multipurpose random sampling was used to select three districts i.e., Morang, Mahottari and Kailali districts. From each district, two municipalities were selected and from each municipality, two villages were chosen for the study. Twenty-five farming households were randomly chosen within each village. In total, 100 farmers were included from each district, resulting in a total of 300 farmers.\nThe survey was administered in person in farmers’ homes, field or pre-agreed location in the community where the farmer lives. Enumerators entered farmers’ responses to each question in a pre-prepared template which was then transferred to the CSV data file.\nThe data were prepared for the requirements of the study and made ready for analysis by removing duplicate records, spelling errors, differences in capitalisation and spacing, inconsistent formats, mixed numerical scales and mixed ranges.\n","locations":["POLYGON((80.134 28.012, 80.134 29.138, 86.946 29.138, 86.946 28.012, 80.134 28.012))"],"organisation":["Kathmandu University","Scotland's Rural College","Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU)","Indian Agricultural Statistics Research Institute","KIIT University","University of Agriculture Faisalabad","University of Peradeniya","The Maldives National University","Maldives National University","Ricardo (Harwell)","University of Edinburgh","Royal University of Bhutan","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3","10.5285/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Scotland's Rural College","Kathmandu University"],"ror":["https://ror.org/036xnae80","https://ror.org/044e2ja82","https://ror.org/03kkevc75","https://ror.org/00k8zt527","https://ror.org/054d77k59","https://ror.org/025h79t26","https://ror.org/00dbrh564","https://ror.org/01nrxwf90","https://ror.org/03hqan520","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Farming household survey for the evaluation of nitrogen options for economic and social benefit in the Terai region of Nepal, 2022","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset holds survey data of individual farming households in the Terai region in Nepal relating to their nitrogen use.  The survey was conducted in 2022 and the questions covered two seasons (summer and winter) asked at a single visit in the summer season. The..."},{"publicationDate":"2020-01-24T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology ","UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS), ","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University"],"authorGivenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"authorFamilyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"authorFullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"authorOrcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","http://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0003-3463-0054","https://orcid.org/0000-0001-5370-4894"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797"],"catalogue":"eidc","description":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. The yield loss calculations were done as part of the NERC funded SUNRISE project (NEC06476).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R000131/1"],"identifier":"181a7dd5-0fd4-482a-afce-0fa6875b5fb3","incomingCitationCount":2,"givenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M.","Katrina"],"familyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"fullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"keyword":["Air pollution","Yield loss","Wheat","Soybean","Maize","Rice","Zea mays","Oryza sativa","Glycine max","Triticum aestivum"],"keywordsOther":["Air pollution","Yield loss","Wheat","Soybean","Maize","Rice","Zea mays","Oryza sativa","Glycine max","Triticum aestivum"],"licence":"Open government licence","lineage":"A 1 degree by 1 degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1 degree by 1 degree grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss.\n\nEach grid cell was classed as either irrigated (greater than 75 percent irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climatic zone. For each hemisphere/climatic zone combination, a 90-day growing period was set, based on the main growing season per year for each crop.\n\nThe EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre‐West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate specific growing period for the cell, and an average value calculated for the period 2010-2012.\n\nYield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period.\n\nThe equation used to calculate percentage yield loss was as follows:\npercentage Yield Loss = (POD3IAM – 0.1) * 0.64                                                                         \nwhere 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM.\n\nFor maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. \n\nPercentage yield loss values were added to the 1 degree by 1 degree grid and saved as GIS shapefiles, one per crop for ingestion into the EIDC.\n\nAn evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","http://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0003-3463-0054","https://orcid.org/0000-0001-5370-4894"],"organisation":["UK Centre for Ecology & Hydrology ","UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS), ","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/181a7dd5-0fd4-482a-afce-0fa6875b5fb3","10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3"],"resourceStatus":"Superseded","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, A. & Wind, P. (2012) The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12: 7825–7865\n"],"supplementalName":["Report","SUNRISE website","EMEP website"],"title":"Modelled average percentage yield loss due to ozone damage for four global staple crops (2010-2012)","version":1.0,"view":["public","danor"],"shortenedDescription":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are..."},{"publicationDate":"2019-08-06T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Lancaster University","Manchester University","Scotland’s Rural College (SRUC)","Institut national de la recherche agronomique (INRA)"],"authorGivenName":["S.","N.","R.D.","D.W.","M.G.","A.J."],"authorFamilyName":["McCormack","Ostle","Bardgett","Hopkins","Pereira","Vanbergen"],"authorFullName":["McCormack, S.","Ostle, N.","Bardgett, R.D.","Hopkins, D.W.","Pereira, M.G.","Vanbergen, A.J."],"authorOrcid":["https://orcid.org/0000-0003-3263-3702","https://orcid.org/0000-0002-5131-0127","https://orcid.org/0000-0003-3740-0019","https://orcid.org/0000-0001-8320-5535"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/02aswte26","https://ror.org/044e2ja82"],"catalogue":"eidc","description":"These data describe the results of a three year (2011-2013) factorial experiment using plant-soil mesocosms testing the effects of biochar on soil biodiversity and soil carbon fluxes.  The experimental design comprised three treatments: \n  (1) biochar (absence or presence at 2% w/w); \n  (2) plant type (barley, perennial ryegrass, or unvegetated); and \n  (3) soil texture (sandy clay, sandy silt loam, clay loam). \n\nEcosystem responses measured were net ecosystem exchange of carbon (NEE) & ecosystem respiration (both g CO2 m-2 h-1) and plant biomass (g aboveground and root).\n\nSoil biological responses measured were estimates of microbial community structure (fungal-to-bacterial ratio, total phospho-lipid fatty acid (PFLA) nmol g-1 soil) and densities (g-1 soil) of nematode worms and soil microarthropods (Collembola, Acari). \n\nThe experiment was done at the Centre for Ecology & Hydrology in Penicuik, near Edinburgh in Scotland (UK). Soils used in the experiment were taken from the top 20 cm of the soil profile, from the James Hutton Institute’s Balruderry Farm near Dundee, Scotland, UK (56° 27’ N, 3° 4’ W). \n\nThis research was funded by a Natural Environment Research Council Open CASE PhD studentship grant (NE/HO18085/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/HO18085/1"],"identifier":"130369e1-d9c7-436c-bd0c-1ccde4844576","incomingCitationCount":1,"givenName":["S.","N.","R.D.","D.W.","M.G.","A.J.","Adam"],"familyName":["McCormack","Ostle","Bardgett","Hopkins","Pereira","Vanbergen"],"fullName":["McCormack, S.","Ostle, N.","Bardgett, R.D.","Hopkins, D.W.","Pereira, M.G.","Vanbergen, A.J.","Vanbergen, A."],"keyword":["Climate and climate change","Soil","Biodiversity","biochar"],"keywordsTheme":["Climate and climate change","Soil","Biodiversity"],"keywordsOther":["biochar"],"licence":"Open government licence","lineage":"72 plant-soil mesocosms were used; they were 38l in volume (380 x 380 x 300 mm).\n\nSoil fauna samples were taken for nematodes on 21–22 June 2011, 28–29 August 2012 and 20 August 2013, and for microarthropods (collembola, mites) on 20 August 2013. On each occasion, each mesocosm was sampled in three random locations with a 3.5 cmØ corer to 10 cm depth. Each soil core was split vertically into two halves, one half designated for nematode extraction and the other for microarthropod extraction. The three replicate halves were pooled into a single sample for each pot, with fresh weight recorded prior to invertebrate extraction. For nematode extraction, soil samples were placed in a Baermann funnel system for 24 h wet extraction. Microarthropods were collected into alcohol-filled vials using Tullgren funnels for 24 h. Following extraction of invertebrates, the soil was oven-dried and weighed to determine soil dry weight. Nematodes and microarthropods (mites and collembola) were counted under a light microscope, and abundance values were converted to standardised densities by calculating individuals per g of dry soil.\n\nTo quantify annual aboveground primary production, barley and ryegrass biomass was collected by cutting the vegetation biomass to 1 cm above the soil surface using handheld shears in September of each year, 2011– 2013. Root biomass was determined in August 2013 by taking one soil core from each mesocosm (3.5 cm Ø, 10 cm depth). Only the top 10 cm were analysed so that root data would correspond to the same soil stratum as sampled for invertebrates. Separation of roots from soil was accomplished using washing, sieving (1mm mesh) and handpicking. Once separated, the plant material was oven-dried prior to weighing.\n\nPhospholipid fatty acid (PLFA) analysis was used in order to quantify the dry weight-based mass of markers for microbial biomass and fungal-to-bacterial ratio in the soil in different treatments. One soil sample per mesocosm (3.5 cm Ø core to 10 cm depth) was taken in August 2013 and stored at −20 °C prior to freeze-drying at −20 °C. A subsample (1 g) of the freeze-dried soil was subsequently taken for phospholipid fatty acid (PLFA) analysis. Three measures of microbial community structure were derived. Total PLFA provided a measure of overall microbial biomass; the 16:1ω5 fatty acid marker was used as a proxy measurement for arbuscular mycorrhizal biomass  and the fungal-to-bacterial PLFA ratio was calculated by dividing the fungal PLFA marker (18:2ω6,9) by the summed bacterial PLFA markers (i15:0, a15:0, 15:0, i16:0, 16:1ω7, a17:0, i17:0, cy17:0, cis18:1ω7, cy19:0).\n\nEcosystem respiration and net ecosystem exchange (NEE) of CO2 fluxes from each mesocosm were quantified monthly. An IRGA EGM-4  connected to a gas sampling chamber (45,693 cm3) was used. The chamber was inlaid with Propafilm C on all five sides to allow light transmission so NEE of CO2 could be measured. Ecosystem respiration was measured by using an aluminium cover to exclude light from the chamber. Prior to the onset of the experiment, chamber air-tightness was confirmed by injecting a known concentration of SF6 into a chamber connected to a trial pot, then using a gas chromatograph to monitor SF6 levels over the course of one hour. Net CO2 efflux data were expressed as positive values whereas net CO2 uptake data were expressed as negative values.","locations":["POLYGON((-3.066 56.447, -3.066 56.529, -2.893 56.529, -2.893 56.447, -3.066 56.447))"],"orcid":["https://orcid.org/0000-0003-3263-3702","https://orcid.org/0000-0002-5131-0127","https://orcid.org/0000-0003-3740-0019","https://orcid.org/0000-0001-8320-5535"],"organisation":["Centre for Ecology & Hydrology","Lancaster University","Manchester University","Scotland’s Rural College (SRUC)","Institut national de la recherche agronomique (INRA)","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/130369e1-d9c7-436c-bd0c-1ccde4844576","10.5285/130369e1-d9c7-436c-bd0c-1ccde4844576"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/02aswte26","https://ror.org/044e2ja82","https://ror.org/04xw4m193"],"state":"published","title":"Soil biodiversity, carbon cycling and crop plant biomass responses to experimental biochar amendment of agricultural soil (Dundee, UK)","topic":["0/Climate and climate change/","0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"These data describe the results of a three year (2011-2013) factorial experiment using plant-soil mesocosms testing the effects of biochar on soil biodiversity and soil carbon fluxes.  The experimental design comprised three treatments: \n  (1) biochar (absence or presence..."},{"publicationDate":"2019-10-17T00:00:00.000+00:00","authorAffiliation":["University of Helsinki","University of Manchester","Diamond Light Source","Galson Sciences Ltd","Kyushu University","Paul Scherrer Institute"],"authorGivenName":["W.","K.","F.R.","J.F.W.","C.M.","A.J.","L.S.","C.","J.R.","S.","D.","T.","J.E.","G."],"authorFamilyName":["Bower","Morris","Livens","Mosselmans","Fallon","Fuller","Natrajan","Boothman","Lloyd","Utsunomia","Grolimund","Ferreira Sanchez","Jilbert","Parker","Neill","Law"],"authorFullName":["Bower, W.","Morris, K.","Livens, F.R.","Mosselmans, J.F.W.","Fallon, C.M.","Fuller, A.J.","Natrajan, L.S.","Boothman, C.","Lloyd, J.R.","Utsunomia, S.","Grolimund, D.","Ferreira Sanchez, D.","Jilbert, T.","Parker, J.E.","Neill, T.","Law, G."],"authorOrcid":["https://orcid.org/0000-0003-2070-2483","https://orcid.org/0000-0002-2320-6330"],"authorRor":["https://ror.org/040af2s02","https://ror.org/027m9bs27","https://ror.org/05etxs293","https://ror.org/00tvcfv48","https://ror.org/00p4k0j84","https://ror.org/03eh3y714"],"catalogue":"eidc","description":"This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. \n\nMeasurements were carried out to determine the extent of uranic particle dissolution and the speciation of dissolved uranium within the columns under contrasting biogeochemical conditions (oxic and electron-donor amended). Columns effluents were analysed periodically for key biogeochemical indicators (nitrate, sulfate) and trace metals (iron, manganese, uranium) and systems were sacrificed after 6 and 12 months of groundwater flow. Upon sacrifice, columns were cross-sectioned, and the sediment structure preserved for synchrotron micro-focus X-ray Fluorescence (XRF) mapping, and uranium L-edge X-ray Absorption Spectroscopy (XAS) measurements. Sub-samples of column sediments were also analysed for acid extractable metals, microbial abundance and classification and bioavailable Fe(II) concentrations. \n\nExperiments were performed between March 2016 and March 2017. Subsequent analyses were performed between March 2017 and December 2018. \n\nThis data was collected as part of the project: Understanding radioactive ‘hot’ particle evolution in the environment funded by the UK Natural Environment Research Council (grant NE/M014088/1). ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M014088/1"],"identifier":"2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","incomingCitationCount":1,"givenName":["Will","W.","K.","F.R.","J.F.W.","C.M.","A.J.","L.S.","C.","J.R.","S.","D.","T.","J.E.","G."],"familyName":["Bower","Morris","Livens","Mosselmans","Fallon","Fuller","Natrajan","Boothman","Lloyd","Utsunomia","Grolimund","Ferreira Sanchez","Jilbert","Parker","Neill","Law"],"fullName":["Bower, W.","Morris, K.","Livens, F.R.","Mosselmans, J.F.W.","Fallon, C.M.","Fuller, A.J.","Natrajan, L.S.","Boothman, C.","Lloyd, J.R.","Utsunomia, S.","Grolimund, D.","Ferreira Sanchez, D.","Jilbert, T.","Parker, J.E.","Neill, T.","Law, G."],"keyword":["Soil","Metaschoepite","X-ray spectroscopy data","uranium","groundwater"],"keywordsTheme":["Soil"],"keywordsOther":["Metaschoepite","X-ray spectroscopy data","uranium","groundwater"],"licence":"Open government licence","lineage":"Laboratory measurements were carried out at the Centre for Radiochemistry Research and the Williamson Research Centre at the University of Manchester, UK. Synchrotron data were collected at Diamond Light Source, UK (beamlines I18, B18 and I14) and the Swiss Light Source (beamline X05-LA) under allocations SP15085, SP17270, SP13559, SP18053-1, and 20170741.\n\nA detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article:","orcid":["https://orcid.org/0000-0003-2070-2483","https://orcid.org/0000-0002-2320-6330"],"organisation":["University of Helsinki","University of Manchester","Diamond Light Source","Galson Sciences Ltd","Kyushu University","Paul Scherrer Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","ror":["https://ror.org/040af2s02","https://ror.org/027m9bs27","https://ror.org/05etxs293","https://ror.org/00tvcfv48","https://ror.org/00p4k0j84","https://ror.org/03eh3y714","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["NeXus is a common data format for neutron, x-ray, and muon science. It is being developed as an international standard by scientists and programmers representing major scientific facilities in order to facilitate greater cooperation in the analysis and visualization of neutron, x-ray, and muon data.","Maps are from multiple\nbeamlines and are either .txt. files, where columns pertain to different chemical elements, or .nxs files,\nwhich can be opened using the DAWN Science Suite, freely available from Diamond Light Source"],"supplementalName":["Further information about the NeXus data format","DAWN Science Suite"],"title":"Metaschoepite dissolution in sediment column systems – groundwater/soil geochemistry and uranium X-ray spectroscopy data","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. \n\nMeasurements were carried out to determine..."},{"publicationDate":"2022-05-19T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["V.A.","H.N.","M.","T.","H.","O.","E.J.","R.","K.B."],"authorFamilyName":["Bell","Davies","Fry","Zhang","Murphy","Hitt","Hewitt","Chapman","Black"],"authorFullName":["Bell, V.A.","Davies, H.N.","Fry, M.","Zhang, T.","Murphy, H.","Hitt, O.","Hewitt, E.J.","Chapman, R.","Black, K.B."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9292-7740","https://orcid.org/0000-0003-3100-4904","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-7436-5411"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The dataset of neutron probe soil moisture observations for 112 sites (428 probe locations) from 1966 to 2013 includes 4 comma-separated tables, derived from the UK Soil Moisture Databank.\n\nThe data include: \n•      Neutron probe readings (number of neutrons) and Volumetric soil moisture content (m3 m-3) at a range of soil depths\n•      Profile moisture content (m3 m-3) to a range of soil depths\n•\tMetadata (includes probe location, maximum depth of readings, soil type, vegetation, start date, end date)\n•\tRelevant publications (references and URL where available) for individual datasets\n\nThe tube site locations are provided as British National Grid references and latitude/longitude in the tube metadata file. Depths of tube readings are provided in metres.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","European Union"],"grant":["NE/N018125/1","603525"],"identifier":"450bb14b-c711-47af-8792-f9bd88482cd4","incomingCitationCount":1,"givenName":["V.A.","H.N.","M.","T.","H.","O.","E.J.","R.","K.B.","Vicky"],"familyName":["Bell","Davies","Fry","Zhang","Murphy","Hitt","Hewitt","Chapman","Black"],"fullName":["Bell, V.A.","Davies, H.N.","Fry, M.","Zhang, T.","Murphy, H.","Hitt, O.","Hewitt, E.J.","Chapman, R.","Black, K.B.","Bell, V."],"keyword":["Soil","Hydrology","UK","Soil-moisture","Neutron-probe"],"keywordsTheme":["Soil","Hydrology"],"keywordsOther":["UK","Soil-moisture","Neutron-probe"],"licence":"Open government licence","lineage":"An archive of neutron probe data for over 400 UK locations has been assembled following a data recovery process. The UKSMD (UK Soil Moisture Databank) consists of neutron probe observations from 1966 to 2013 recovered from fragile magnetic tapes and from disparate spreadsheets and databases. Much of the older data (1960s and 1970s) formed part of a national soil moisture database, “The Soil Moisture Databank (SMDB)” which was previously considered lost, but has since been recovered from old tapes, reassembled, and quality assessed. An additional archive of more-recent neutron probe data for a further 329 probe locations up to 2013 has been retrieved from disparate spreadsheets and databases across UKCEH. All associated data, from the raw digitised neutron probe measurements to volumetric soil moisture data have been quality controlled and converted to standard (SI) units\nSee supporting information for more details.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9292-7740","https://orcid.org/0000-0003-3100-4904","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-7436-5411"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/450bb14b-c711-47af-8792-f9bd88482cd4","10.5285/450bb14b-c711-47af-8792-f9bd88482cd4"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Collated neutron probe measurements and derived soil moisture data, UK, 1966-2013","topic":["0/Soil/","0/Hydrology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset of neutron probe soil moisture observations for 112 sites (428 probe locations) from 1966 to 2013 includes 4 comma-separated tables, derived from the UK Soil Moisture Databank.\n\nThe data include: \n•      Neutron probe readings (number of neutrons) and Volumetric..."},{"publicationDate":"2018-06-21T00:00:00.000+00:00","authorAffiliation":["The Open University"],"authorGivenName":["N.J.D."],"authorFamilyName":["Loughlin"],"authorFullName":["Loughlin, N.J.D."],"authorOrcid":["https://orcid.org/0000-0003-2205-044X"],"authorRor":["https://ror.org/05mzfcs16"],"catalogue":"eidc","description":"Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest of Ecuador. \n\nPalaeoecological proxy data were recovered from lake sediments, surface soil and moss pollsters within the eastern Andean cloud forest of Ecuador. Materials and proxy data were collected with the aim of understanding how ecosystem dynamics were driven by anthropogenic, physical and climatic impact through time (late Quaternary). Here, data are provided for pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF). Field samples were collected throughout 2012-2013 from the Napo province of Ecuador and analysed in the laboratory throughout 2014-2015 at The Open University (UK).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L501888/1"],"identifier":"952e8ddb-b573-44ad-a930-2c8c5164a381","incomingCitationCount":1,"givenName":["Nicholas","N.J.D."],"familyName":["Loughlin"],"fullName":["Loughlin, N.","Loughlin, N.J.D."],"keyword":["late Quaternary","palynological","non-pollen palynomorphs","Neotropics","palynology","charcoal","pollen","palaeoecology"],"keywordsOther":["late Quaternary","palynological","non-pollen palynomorphs","Neotropics","palynology","charcoal","pollen","palaeoecology"],"licence":"Open government licence","lineage":"Sampling regime: Coring of Lake Huila was undertaken using a Livingstone corer with a Colinvaux-Vohnout piston modification from a floating platform attached to two anchored boats in 1.2m of water. Individual core lengths of up to 1m were recovered at a time. Samples were stored within their aluminium tubes for transportation back to the laboratory (The Open University) and kept in a cold room at 4°C until required. Overlapping sediment cores were taken from the centre of Huila, the longest core (Huila-E) reached a total depth of 2.09 m and was used for analysis. Bedrock was not reached during coring. For full details please see supporting documentation (Data_overview.rtf)","locations":["POLYGON((-78.223 -0.729, -78.223 -0.234, -77.769 -0.234, -77.769 -0.729, -78.223 -0.729))"],"orcid":["https://orcid.org/0000-0003-2205-044X"],"organisation":["The Open University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/952e8ddb-b573-44ad-a930-2c8c5164a381","10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Loughlin, N.J.D., Gosling, W.D., Coe, A.L., Gulliver, P., Mothes, P., Montoya, E. (2018). Landscape scale drivers of glacial ecosystem change in the montane forests of the eastern Andean flank, Ecuador. Palaeogeography, Palaeoclimatology, Palaeoecology. 489(1): 198-208.","Loughlin, N.J.D., Gosling, W.D., Montoya, E. (2018). Identifying environmental drivers of fungal non-pollen palynomorphs in the montane forest of the eastern Andean flank, Ecuador. Quaternary Research. 89(1): 119-133. "],"title":"Late Quaternary palynological data from the eastern Andean montane forest of Ecuador","version":1.0,"view":["public","jgar"],"shortenedDescription":"Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest..."},{"publicationDate":"2020-06-26T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes. The product consists of five bands:  \n Band 1 – a raster version of LCM1990 in the six simplified classes;\n Band 2 – a raster version of LCM2015 in the six simplified classes;\n Band 3 – a binary layer, where 0 means no change between 1990 and 2015 and 1 means change between 1990 and 2015;\n Band 4 – shows the 'change from' class;\n Band 5 – provides the 'change to' class. \n\nFull details of the Land Cover Change data set are provided in the Land Cover Change data set documentation, which users should consult.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"07b6e5e9-b766-48e5-a28c-5b3e35abecc0","incomingCitationCount":5,"givenName":["Clare","C.S.","C.G.","R.D.","A.W."],"familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.","Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"keyword":["Great Britain","Land cover","Mapping","UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"keywordsOther":["UK-SCAPE"],"licence":"Non-Open government licence","lineage":"Bands 1 and 2 are derived from the 25m raster versions of the Land Cover Maps for 1990 and 2015 respectively. The LCM data for 1990 and 2015 was cast from the original 21 classes into 6 simplified classes (see dataset documentation for details). \n\nBand 3 (the binary change/no-change layer) maps differences between the simplified classes in 1990 and 2015. Band 3 and Band 1 are then used to create Band 4, the ‘change from' layer, which gives the 1990 class for change. Band 5, the ‘change to' layer,  is calculated from Bands 3 and 2 and provides the 2015 ‘change to' class.\n\nFor further details about LCM1990 and LCM2015 are given in the dataset documents for those products.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07b6e5e9-b766-48e5-a28c-5b3e35abecc0","10.5285/07b6e5e9-b766-48e5-a28c-5b3e35abecc0"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Land Cover Change 1990-2015 (25m raster, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes...."},{"publicationDate":"2023-03-07T00:00:00.000+00:00","authorAffiliation":["University of Leeds"],"authorGivenName":["J.","R.","S.F.P."],"authorFamilyName":["Holden","Grayson","Hunt"],"authorFullName":["Holden, J.","Grayson, R.","Hunt, S.F.P."],"authorOrcid":["https://orcid.org/0000-0002-1108-4831","https://orcid.org/0000-0003-3637-3987"],"authorRor":["https://ror.org/024mrxd33"],"catalogue":"eidc","description":"Saturated hydraulic conductivity, bulk density and soil organic carbon content were determined on soil samples extracted from the upper 50 cm of the soil profile for three paired upland woodland and grassland sites in northern England. The site pairs consisted of new deciduous plantation (less than five years old) and pasture, Fifteen year old deciduous plantation and pasture, and finally a site with mature deciduous woodland and pasture. Comparisons were made between woodland and pasture soil properties.\n\nThe work was supported by the Natural Environment Research Council Grant NE/R004595/1: Optimising Natural Flood risk Management (NFM) in headwater catchments to protect downstream communities.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R004595/1"],"identifier":"03bbb1a9-703b-484b-aa16-5924c11e1f2d","incomingCitationCount":0,"givenName":["J.","R.","S.F.P."],"familyName":["Holden","Grayson","Hunt"],"fullName":["Holden, J.","Grayson, R.","Hunt, S.F.P."],"keyword":["hydraulic conductivity","soil organic carbon","woodland","grassland","bulk density","permeability","organic carbon","soil"],"keywordsOther":["hydraulic conductivity","soil organic carbon","woodland","grassland","bulk density","permeability","organic carbon","soil"],"licence":"Open government licence","lineage":"Soil bulk density rings, 5.3 cm in diameter were used to collect 5 cm long samples from each sample point. The samples were collected at the same point for depths of 2.5-7.5 cm, 12.5-17.5 cm, 22.5-27.5 cm, 32.5-37.5 cm, 42.5-47.5 cm, if the soil was deep enough. The samples were then brought to the laboratory and processed, while remaining in the same rings, on an Eijkelkamp 25 place permeameter to determine saturated hydraulic conductivity (reported in metres per day). Following these permeability measurements, the bulk density of the samples (grams per cubic centimetre) was determined through gravimetric assessment using oven drying at 105 deg C for 24 hours. For the upper two soil depths at each sampling point, soil organic carbon content was determined (reported as percentage of the total dry soil mass) via loss on ignition at 450 deg C for 5 hours. ","locations":["POLYGON((-2.204 53.631, -2.204 53.79, -1.781 53.79, -1.781 53.631, -2.204 53.631))"],"orcid":["https://orcid.org/0000-0002-1108-4831","https://orcid.org/0000-0003-3637-3987"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/03bbb1a9-703b-484b-aa16-5924c11e1f2d","10.5285/03bbb1a9-703b-484b-aa16-5924c11e1f2d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Saturated hydraulic conductivity, bulk density and soil organic carbon content from three paired upland woodland and grassland sites in northern England, July 2019-April 2021","version":1.0,"view":["public","margla"],"shortenedDescription":"Saturated hydraulic conductivity, bulk density and soil organic carbon content were determined on soil samples extracted from the upper 50 cm of the soil profile for three paired upland woodland and grassland sites in northern England. The site pairs consisted of new..."},{"publicationDate":"2018-02-14T00:00:00.000+00:00","authorAffiliation":["University of Oxford"],"authorGivenName":["T."],"authorFamilyName":["Jackson"],"authorFullName":["Jackson, T."],"authorOrcid":["https://orcid.org/0000-0001-8143-6161"],"authorRor":["https://ror.org/052gg0110"],"catalogue":"eidc","description":"This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate the critical wind speeds at which the trees would break and (c) to test a finite element model of tree-wind dynamics. \n\nThe strain data was collected at 4Hz using two strain gauges per tree attached at 1.3metres on the trunk and approximately perpendicular to each other. The wind data provided were collected from the canopy walkway in Wytham Woods using a cup anemometer (Vector Instruments A100LK/5M) in winter and a Gill Sonic-1 in summer, the time resolution varies between these instruments. Local climate data, including long term wind data, are available from the Environmental Change Network (https://doi.org/10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5 or data.ecn.ac.uk).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"533d87d3-48c1-4c6e-9f2f-fda273ab45bc","incomingCitationCount":3,"givenName":["Toby","T."],"familyName":["Jackson"],"fullName":["Jackson, T."],"keyword":["Wytham Woods","strain","wind damage","resonant frequency","biomechanics","forest","tree"],"keywordsPlace":["Wytham Woods"],"keywordsOther":["strain","wind damage","resonant frequency","biomechanics","forest","tree"],"licence":"Open government licence","lineage":"This data set consists of strain measurements for 21 trees in Wytham Woods, Oxfordshire. This data can be used to estimate the characteristic swaying behaviour of trees in the wind and to characterize the wind-strain relationship. Pairs of strain gauges were attached (approximately perpendicular to each other) to the tree trunks at 1.3m height and readings were logged at 4Hz. The data provided has been calibrated, as described in the readme file. Please contact the author (tobydjackson@gmail.com) for the raw data files. Data processing scripts can be downloaded from (https://github.com/TobyDJackson/WindAndTrees_Wytham). Wind data, measured within the canopy, is also provided.","locations":["POLYGON((-1.35 51.76, -1.35 51.78, -1.32 51.78, -1.32 51.76, -1.35 51.76))"],"orcid":["https://orcid.org/0000-0001-8143-6161"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["10.5285/533d87d3-48c1-4c6e-9f2f-fda273ab45bc","https://catalogue.ceh.ac.uk/id/533d87d3-48c1-4c6e-9f2f-fda273ab45bc"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"state":"published","title":"Strain measurements on 21 trees in Wytham Woods, UK","version":1.0,"view":["public","tinzha"],"shortenedDescription":"This data contains the strain and wind data collected for 21 trees in Wytham Woods, a mature temperate woodland in southern England, from September 2015 to June 2016. This data was collected in order to (a) extract the resonant frequencies of trees, (b) to estimate..."},{"publicationDate":"2019-12-11T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorGivenName":["M.S.","T.","S.","C.","I.","Z.","D.B."],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"catalogue":"eidc","description":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites (a small number of pilot sites started from 1973). The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"b321fa16-30fb-4ece-99cf-a9b921171fbf","incomingCitationCount":0,"givenName":["M.S.","T.","S.","C.","I.","Z.","D.B.","Marc","Tom"],"familyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B.","Botham, M."],"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","UK-SCAPE","Biodiversity","lepidopteran","butterfly"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"keywordsOther":["lepidopteran","butterfly"],"licence":"Non-Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b321fa16-30fb-4ece-99cf-a9b921171fbf","10.5285/b321fa16-30fb-4ece-99cf-a9b921171fbf"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: site location data 2018","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored...."},{"publicationDate":"2021-08-31T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorGivenName":["A.","W.","K.","S."],"authorFamilyName":["Perry","Wachowiak","Donnelly","Cavers"],"authorFullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/K012177/1"],"identifier":"55118e26-cf5c-41d6-9157-738fce6bdddf","incomingCitationCount":0,"givenName":["A.","W.","K.","S."],"familyName":["Perry","Wachowiak","Donnelly","Cavers"],"fullName":["Perry, A.","Wachowiak, W.","Donnelly, K.","Cavers, S."],"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"licence":"Open government licence","lineage":"A common garden glasshouse trial was established in 2010 using seed from natural populations from three species of pine: Pinus sylvestris (SY), Pinus mugo (MU), Pinus uncinata (UN). Open-pollinated seeds were collected from three to five trees per population from twenty-eight natural populations in Europe covering the geographic range of each species. The collection consisted of thirteen populations of SY, nine MU, and six UN. The trial was divided into 25 randomized blocks with up to five families per population, of which the first 18 blocks were analysed by Wachowiak et al. (2018a).\n\nPhenotypes (height, bud set and budburst) were assessed in the glasshouse during spring (budburst), autumn (bud set) and winter (height) between 2010 and 2013. \n\nA subset of trees were selected to be genotyped using a multi-species SNP array. Trees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).","locations":["POLYGON((-3.358 55.877, -3.358 56.003, -3.013 56.003, -3.013 55.877, -3.358 55.877))"],"orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55118e26-cf5c-41d6-9157-738fce6bdddf","10.5285/55118e26-cf5c-41d6-9157-738fce6bdddf"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis of three pine species grown in a glasshouse","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains details of the phenotypes (height, bud set and budburst) and genotypes (via SNP array) of trees from a common garden multi-species pine (Pinus sylvestris, Pinus mugo and Pinus uncinata) glasshouse trial between 2010 and 2013."},{"publicationDate":"2018-12-18T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["N.A.","C.L."],"authorFamilyName":["Beresford","Barnett"],"authorFullName":["Beresford, N.A.","Barnett, C.L."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise concentration ratios for lead and 210Pb in terrestrial wildlife and plants, and residual maximum likelihood (REML) model values for taxons (order, family and genus). Pb was used as an example of the derivation and application of a REML model for terrestrial wildlife species. The model outputs consists of a mean value for each taxa on a common scale after REML adjustment (referred to as the ‘REML mean’) taking account of the random factor (i.e. site).  The REML mean value represents a relative scaling value. \n\nFunding for preparing this data set was provided by the TREE project (http://www.ceh.ac.uk/tree) funded by the NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L000318/1"],"identifier":"2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d","incomingCitationCount":1,"givenName":["N.A.","C.L."],"familyName":["Beresford","Barnett"],"fullName":["Beresford, N.A.","Barnett, C.L."],"keyword":["Pollution","Abies","Acacia","Acer","Agrostis","Alnus","Alopecurus","Anas","Anguis","Apis","Apodemus","Aporrectodea","Asparagus","Astrebla","Balanites","Bombus","Bothriochloa","Branta","Briza","Bufo","Calamagrostis","Calluna","Campanula","Capparis","Capreolus","Carlina","Cedrus","Centaurea","Cervus","Chamerion","Cirsium","Cistus","Cladonia","Crataegus","Cynodon","Cytisus","Daphne","Dendrodrilus","Deschampsia","Digitalis","Eragrostis","Erica","Eryngium","Festuca","Ficus","Frankenia","Hordeum","Hypericum","Jasminum","Juncus","Juniperus","Larix","Ledum","Lumbricus","Luzula","Maireana","Microtus","Molinia","Myodes","Myrtus","Odocoileus","Olea","Pelophylax","Phillyrea","Picea","Pinus","Pistacia","Polytrichum","Puccinellia","Quercus","Rana","Rhagodia","Rubia","Rumex","Ruscus","Salix","Schoenoplectus","Senna","Sesbania","Sorex","Tamarix","Taraxacum","Tortula","Trifolium","Triturus","Vaccinium","Viburnum","Vipera","Vitis","Vachellia","Achillia"],"keywordsTheme":["Pollution"],"keywordsOther":["Abies","Acacia","Acer","Agrostis","Alnus","Alopecurus","Anas","Anguis","Apis","Apodemus","Aporrectodea","Asparagus","Astrebla","Balanites","Bombus","Bothriochloa","Branta","Briza","Bufo","Calamagrostis","Calluna","Campanula","Capparis","Capreolus","Carlina","Cedrus","Centaurea","Cervus","Chamerion","Cirsium","Cistus","Cladonia","Crataegus","Cynodon","Cytisus","Daphne","Dendrodrilus","Deschampsia","Digitalis","Eragrostis","Erica","Eryngium","Festuca","Ficus","Frankenia","Hordeum","Hypericum","Jasminum","Juncus","Juniperus","Larix","Ledum","Lumbricus","Luzula","Maireana","Microtus","Molinia","Myodes","Myrtus","Odocoileus","Olea","Pelophylax","Phillyrea","Picea","Pinus","Pistacia","Polytrichum","Puccinellia","Quercus","Rana","Rhagodia","Rubia","Rumex","Ruscus","Salix","Schoenoplectus","Senna","Sesbania","Sorex","Tamarix","Taraxacum","Tortula","Trifolium","Triturus","Vaccinium","Viburnum","Vipera","Vitis","Vachellia","Achillia"],"licence":"Open government licence","lineage":"REML fitting was performed using the IBM SPSS statistical package (version 24) using ‘Linear Mixed Model’ analysis within which REML fitting is a standard option. Because of the data requirements of the REML analyses, as described above, then different amounts of data were available for the runs at genus, family and order levels. The Akaike information criterion (AIC) was used as an estimator of the relative quality of statistical models (the lower the AIC the better the model). To check that including site as a random factor resulted in a better model, all runs were repeated with site removed (ensuring that an intercept was included for the fixed parameter (i.e. taxon)).","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-8722-0238"],"organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d","10.5285/2bd9bd0e-2c52-4767-ae2e-9c70ba8c358d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Data for lead (Pb) in terrestrial wildlife and resultant taxonomic models","topic":["0/Pollution/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise concentration ratios for lead and 210Pb in terrestrial wildlife and plants, and residual maximum likelihood (REML) model values for taxons (order, family and genus). Pb was used as an example of the derivation and application of a REML model for terrestrial..."},{"publicationDate":"2021-04-29T00:00:00.000+00:00","authorAffiliation":["University of Glasgow","Scottish Universities Environmental Research Centre"],"authorGivenName":["H.","S.","J.","M.H."],"authorFamilyName":["Ding","Waldron","Newton","Garnett"],"authorFullName":["Ding, H.","Waldron, S.","Newton, J.","Garnett, M.H."],"authorOrcid":["https://orcid.org/0000-0001-5749-9445","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0001-7594-3693","https://orcid.org/0000-0001-6486-2126"],"catalogue":"eidc","description":"The dataset contains measurements of CO2 efflux from streams, springs, reservoirs and ponds in the Houzhai catchment, a typical karst catchment in the karst region of SW China. \n\nData were obtained via direct, field-based measurements during monthly campaigns conducted between January 2016 and February 2017. Also included are water chemistry parameters (water temperature, pH, dissolved oxygen, electronic conductivity, concentration of dissolved inorganic carbon (DIC) and isotopic composition of dissolved inorganic carbon (δ13C-DIC)) and flow velocity (determined prior to in-situ flux measurements).\n\nThe data were collected under the NERC-funded project: Addressing a significant knowledge gap in fluvial system atmospheric CO2 efflux: the contribution from karst landscapes (NE/N002806/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N002806/1"],"identifier":"22706f2d-2070-425f-b570-d73089359b35","incomingCitationCount":0,"givenName":["H.","S.","J.","M.H.","Hu"],"familyName":["Ding","Waldron","Newton","Garnett"],"fullName":["Ding, H.","Waldron, S.","Newton, J.","Garnett, M.H."],"keyword":["Environmental survey","water-atmosphere","karst","hydraulics","CO2 efflux"],"keywordsTheme":["Environmental survey"],"keywordsOther":["water-atmosphere","karst","hydraulics","CO2 efflux"],"licence":"Open government licence","lineage":"All data were generated by the authors. The flux rate was measured over four minutes, repeated three times to obtain a mean rate of increase.For data generated via mass spectrometry, beam areas of all measured mass-to-charge ratios were corrected for drift offline using control standards. All calculations were checked for errors before data was accepted.","locations":["POLYGON((105.4 26.1, 105.4 26.15, 105.5 26.15, 105.5 26.1, 105.4 26.1))"],"orcid":["https://orcid.org/0000-0001-5749-9445","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0001-7594-3693","https://orcid.org/0000-0001-6486-2126"],"organisation":["University of Glasgow","Scottish Universities Environmental Research Centre","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/22706f2d-2070-425f-b570-d73089359b35","10.5285/22706f2d-2070-425f-b570-d73089359b35"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"state":"published","title":"Fluvial hydrochemistry, CO2 efflux and delta 13C-Dissolved inorganic carbon data for the Houzhai Catchment, Southwest China, 2016-2018","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The dataset contains measurements of CO2 efflux from streams, springs, reservoirs and ponds in the Houzhai catchment, a typical karst catchment in the karst region of SW China. \n\nData were obtained via direct, field-based measurements during monthly campaigns conducted..."},{"publicationDate":"2023-11-07T00:00:00.000+00:00","authorAffiliation":["Bangor University","University of Liverpool"],"authorGivenName":["P.","C."],"authorFamilyName":["Robins","Lyddon"],"authorFullName":["Robins, P.","Lyddon, C."],"authorOrcid":["https://orcid.org/0000-0001-9503-9845"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/04xs57h96"],"catalogue":"eidc","description":"This dataset  contains the dates and magnitudes of extreme river discharge and associated skew surge peaks for UK estuaries between 1984 and 2013. The lag time between the drivers is also provided. \n\nThirty years of river discharge and sea level data for 126 estuaries around the UK were analysed. The river discharge and tide gauge data were used at a 15-minute temporal resolution. A peaks over threshold analysis was completed to identify peaks in the river discharge record which exceeded the 95th percentile. The largest skew surge associated with each extreme discharge event was identified, and saved if this value also exceeded the 95th percentile. \n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V004239/1"],"identifier":"d895fadb-d762-441a-9f3f-1ebe1cbabfa7","incomingCitationCount":0,"givenName":["P.","C."],"familyName":["Robins","Lyddon"],"fullName":["Robins, P.","Lyddon, C."],"keyword":["coast","estuary","combination hazard","compound flooding","flood risk"],"keywordsOther":["coast","estuary","combination hazard","compound flooding","flood risk"],"licence":"Open government licence","lineage":"Observed total water level (TWL, mODN) data were obtained from 27 class-A tide gauges, which form part of the UK National A-Class Tide Gauge Network, from the British Oceanographic Data Centre (BODC). Skew surge (S, m) was calculated from the detrended TWL. It is the difference between the maximum observed TWL and the maximum predicted TWL based on astronomical tidal constituents for every 12.42-h tidal cycle, and the time of maximum TWL  was assigned to each S value. \n\nRiver discharge measurements were obtained from the Environmental Agency, Natural Resources Wales, and the Scottish Environment Protection Agency for 265 rivers across Britain. Discharge (Q) measurements were taken from the most downstream, non-tidal gauges on each river. River gauges were then selected based on two criteria; 1) they recorded 30 years of discharge from 01 January 1984 to 31 December 2013 (with no data gaps), and 2) they recorded a maximum discharge during this period that exceeded 50 m3 /s to identify rivers that could potentially contribute to flooding.  This set 30-year period (1984−2013) was selected to ensure consistency between gauges and to maximise the number of gauges with full data included in the analysis. These criteria isolated 126 gauges, located in 126 distinct estuaries. \n\nA peaks over threshold analysis was then carried out on these data to identify co-occurrences between extreme river discharge and skew surge peaks. The dates and magnitudes of these co-occurrences were recorded in Microsoft Excel spreadsheets (one for each catchment), and these were converted to .csv files.   ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0001-9503-9845"],"organisation":["Bangor University","University of Liverpool","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d895fadb-d762-441a-9f3f-1ebe1cbabfa7","10.5285/d895fadb-d762-441a-9f3f-1ebe1cbabfa7"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xs57h96","https://ror.org/04xw4m193"],"state":"published","title":"Extreme river discharge and associated tide gauge co-occurrences from UK estuaries 1984-2013 ","version":1.0,"view":["public","jenroe"],"shortenedDescription":"This dataset  contains the dates and magnitudes of extreme river discharge and associated skew surge peaks for UK estuaries between 1984 and 2013. The lag time between the drivers is also provided. \n\nThirty years of river discharge and sea level data for 126 estuaries..."}],"facets":[{"fieldName":"topic","displayName":"Topic","hierarchical":true,"admin":false,"results":[{"name":"Agriculture","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FAgriculture%2F","active":false,"count":69},{"name":"Animal behaviour","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FAnimal+behaviour%2F","active":false,"count":78},{"name":"Biodiversity","url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=funder%7CNatural+Environment+Research+Council&facet=topic%7C0%2FBiodiversity%2F","active":false,"count":274},{"name":"Climate and climate 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