{"numFound":92,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0%2FRadioecology%2F&facet=topic%7C0%2FEnvironmental+risk%2F&facet=recordType%7CDataset","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=topic%7C0%2FRadioecology%2F&facet=topic%7C0%2FEnvironmental+risk%2F&facet=recordType%7CDataset","results":[{"publicationDate":"2020-02-25T00:00:00.000+00:00","authorAffiliation":["Nord University","University of Cambridge","SMART Research Institute"],"authorGivenName":["A.E.","E.C.","S.H.","A.D."],"authorFamilyName":["Eycott","Turner","Luke","Advento"],"authorFullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"authorOrcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"catalogue":"eidc","description":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Herbivory was measured 17 times in total (every 3-4 months) between April 2013 and August 2017. Eighteen plots were examined across three estates - plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 data only) were replanted in 2014. Plots were organised in triplets; in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. \n\nThe data contain damage estimated in three ways: by eye for the whole crown, by eye for the 17th frond, and by image processing for 20 leaflets of the 17th frond. ","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":[" NE/P00458X/1"],"identifier":"c2fbd22c-1ce9-4435-b4b0-e333addef346","incomingCitationCount":0,"givenName":["A.","A.E.","E.C.","S.H.","A.D."],"familyName":["Eycott","Turner","Luke","Advento"],"fullName":["Eycott, A.","Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"keyword":["Indonesia","Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental risk","oil palm"],"keywordsPlace":["Indonesia"],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental risk"],"keywordsOther":["oil palm"],"licence":"Open government licence","lineage":"At each recording session, three palms were selected at random from within experimental plots. Random palm selection was done using the rnd function in excel before visiting the field, as each palm in the experimental plots has a unique identifying tag. In the replanted stands where palms are not tagged, the randomisation was done by counting steps from the corner of the plot, again using the rnd function in excel.\n\nFirst the damage to the crown form herbivory was estimated visually from the ground. Then, counting from the youngest fully-opened frond, the 17th frond in the crown of the palm was cut and caught in a white cloth. Frond 17 represents a middle-aged frond (aged between 8.5 and 9 months) in mature palms and is commonly used by the oil palm industry as a standard to measure herbivory and herbivore load. The damage to the frond (in percent) was estimated visually. Then twenty paired leaflets, spaced evenly along the frond, were cut, placed flat on a white board and photographed (using a Nikon D90). Photography and visual damage estimates were always carried out by the same person, from the same angle (bottom left), to reduce sampling bias.\n\nPhotographs were pre-processed to remove noise and converted to binary images in Microsoft Paint. The total leaflet area was then measured in Fiji (https://fiji.sc/). A second image was prepared in Microsoft Paint, with all herbivory damage 'filled in', such that the leaflets appeared to be intact. Where leaflet tips were missing, a conservative estimate for the leaflet tip was drawn in, based on the length of neighbouring leaflets. This second image was measured in Fiji in the same way and the percent of the leaflet area consumed by herbivores was calculated. \n\nBasic data checks were carried out (checks for impossible values, such as an increase in leaf area after processing or extreme discrepancy between visual estimate and image processing values).","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"orcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"organisation":["Nord University","University of Cambridge","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2fbd22c-1ce9-4435-b4b0-e333addef346","10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193"],"state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"title":"Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established..."},{"publicationDate":"2019-05-03T00:00:00.000+00:00","authorAffiliation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland"],"authorGivenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"authorFamilyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"authorFullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85"],"catalogue":"eidc","description":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in liver tissues for 68 polecats found dead in Great Britain between 2013 and 2016. \n\nAll carcasses were stored frozen until necropsy examination at the National Museum of Scotland (with support from The Negaunee Foundation). \n\nLiver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Funding for the rodenticide analysis was provided by the People's Trust for Endangered Species and CEH.\n\nPhD funding from The Vincent Wildlife Trust and the University of Exeter.","documentType":"GEMINI_DOCUMENT","funder":["Vincent Wildlife Trust"],"identifier":"2f49911c-192c-4f09-a1a2-72a21f20706c","incomingCitationCount":1,"givenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"familyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"fullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"keyword":["Environmental risk","Environmental survey","Agriculture","European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsTheme":["Environmental risk","Environmental survey","Agriculture"],"keywordsOther":["European polecat","Mustela putorius","forest polecat","black polecat"],"licence":"Open government licence","lineage":"Polecat carcasses were collected as part of a national monitoring survey carried out by the Vincent Wildlife Trust between December 2013 and March 2016.  Sixty-eight carcasses were selected for rodenticide analysis, based on stratification by sex, location and collection date.  Of the animals selected 56 were road traffic casualties; the remainder were found dead in fields, killed by dogs, trapped or the cause of death was unknown. \nCollection date and location were recorded for all carcasses, which were stored frozen until necropsy examination at the National Museum of Scotland. The poor condition of the majority of the carcasses precluded assessment of clinical signs of exposure to rodenticides. Where carcass condition allowed, gross necropsy examination included recording of sex, head and body length (nose to tip of tail), mass and internal fat, scored on a five-point scale. Teeth (for ageing), whiskers (for stable isotope analysis) and liver tissue (for rodenticide analysis) were collected.  Liver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Whiskers were prepared for analysis at the University of Exeter and analysed at Elemtex, UK and teeth were sent to Matson’s Lab LLC, USA for aging by analysis of cementum layers.\nRodenticide analysis: Concentrations of the five SGARs licensed for use in Great Britain (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) were determined in the polecat livers. A 0.25 g sub-sample of each liver was thawed, weighed accurately, ground and dried with anhydrous sodium sulphate. Labelled standard (d5- Bromadiolone, QMx) was added to each sample for quality control purposes and determination of analyte recovery.  Each liver sub-sample was solvent-extracted and then cleaned-up using size exclusion chromatography followed by elution through solid-phase cartridges. Extraction was carried out twice with clean solvent. Each extraction involved vortex mixing of the sample with 1:1 v/v chloroform:acetone, mechanical shaking and centrifugation. The resultant supernatants from the two extraction runs were combined, solvent-exchanged into (1:1; v/v) chloroform:acetone, filtered (0.2 mm PTFE filter), subjected to a further solvent exchange into (1:23; v/v) acetone:DCM, filtered again, and cleaned-up by size-exclusion chromatography (Agilent 1200 HPLC).  The cleaned extract was solvent-exchanged into 1:1:8; v/v. chloroform:acetone:acetonitrile and underwent a second clean-up using solid phase, methanol-washed, acetonitrile-activated extraction cartridges (ISOLUTE® SI 500 mg, 6 ml).  The cartridges were eluted with the same solvent and the eluate exchanged for the mobile phase.\nLiver SGAR residues were quantified by HPLC linked to a triple quadrupole mass spectrometer interfaced with an ion max source in Atmospheric Pressure Chemical Ionisation mode (APCI) with negative polarity.  Full details of the operational parameters used are as given by Walker et al. (2017).  All rodenticide standards (Dr Ehrenstorfer) were matrix matched and linear calibration curves were defined such that R2>0.99. A blank was run with each batch of unknowns.  The mean method limit of detection (LOD) across batches for each compound was 0.0014 µg/g, except for difethialone which was 0.0022 µg/g. The mean (± SE) recovery for the total procedure was calculated from the labelled bromadiolone standard applied to each sample and was 68.0 ±2.1%. Liver SGAR concentrations were not recovery corrected and are expressed on a wet weight basis.  Summed (Σ) SGAR liver concentrations in individual animals were calculated by summing the concentrations of the five different SGARs, a zero concentration being assigned to individual compounds that were not detected.\nStable isotope analysis: Whiskers were gently rinsed in distilled water and then freeze dried for 24 hours. One whisker per animal was cut into ~1mm segments using a scalpel, starting at the proximal end of the whisker. Consecutive segments were pooled until the summed sample weight was ~0.7 mg.  The sample was enclosed in a tin cup and put into a tray for analysis. The next segment was prepared in the same way and the process was further repeated until either the whole whisker was used, or less than 0.2 mg was remaining.  Samples were analysed on a Thermoquest EA1110 elemental analyser linked to a Europa Scientific 2020 isotope ratio mass spectrometer at Elemtex Ltd (Cornwall, UK) for δ15N and δ13C. δ15N and δ13C abundance are reported as δ-values and expressed as a per mil (‰) deviation from the international reference standards (PDB for carbon and AIR for nitrogen). Replicate analysis of standards (USGS 40, USGS 41 and an in-house bovine liver standard) yielded standard deviations of 0.05 – 0.29 for δ15N and 0.05 – 0.22 for δ13C. \nCementum ageing was undertaken by Matson’s Lab LLC (Manhattan, MT, USA) following a standard protocol. After decalcification in a weak hydrochloric acid solution, teeth were sectioned sagittally and mounted on glass slides. The sections were stained to allow visual differentiation of annual cementum growth layers. These layers (annuli) were examined microscopically for age estimation at time of death. Birth date was set to 1 May for the purpose of estimating age in months.\nCalibration with historical dataset: Combination of new and historical data involved applying the limits of detection (LOD) for each compound from Shore et al. (2003), which were higher than those in the present study, to eliminate biases caused by changes in analytical sensitivity.\nFor full references please refer to the supporting document.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"organisation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f49911c-192c-4f09-a1a2-72a21f20706c","10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85","https://ror.org/04xw4m193"],"state":"published","title":"Secondary exposure to second-generation anticoagulant rodenticides in European polecats (Mustela putorius) in Great Britain 2013 to 2016","topic":["0/Environmental risk/","0/Environmental survey/","0/Agriculture/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in..."},{"publicationDate":"2025-05-02T00:00:00.000+00:00","authorAffiliation":["University of Stirling"],"authorGivenName":["L","H","R","M"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Quilliam, R."],"authorOrcid":["https://orcid.org/0000-0003-2530-2120"],"authorRor":["https://ror.org/045wgfr59"],"catalogue":"eidc","description":"This dataset contains experimental survival rate and transfer potential measurements of two known human pathogens, bacteria Salmonella Typhimurium and Vibrio cholerae, on plastic mulch and ready-to-eat crop plants. Colony forming units (CFUs) were used to measure persistence time of each pathogen on the mulch, and quantify the transfer of each pathogen from the plastic mulch to the surface of spinach and basil leaves. Samples were measured on days 1, 2, 3, 4, 7, 10 and 14, over a total period of 14 days. Destructive sampling methods were used to collect samples from the plastic and leaf surface, with negative control leaves also sampled at each time point. \n\nThis dataset was created as part of a study investigating the risk of pathogen growth in agricultural environments using plastic mulch, and is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/V005847/1"],"identifier":"a514a386-18d7-4925-a3d4-fb5a2922e135","incomingCitationCount":0,"givenName":["Luke","L","H","R","M"],"familyName":["Woodford","White","Fellows","Ormsby","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Quilliam, R."],"keyword":["Environmental risk","Pollution","Agriculture","plastisphere","human pathogens","ready-to-eat-crops","phyllosphere"],"keywordsTheme":["Environmental risk","Pollution","Agriculture"],"keywordsOther":["plastisphere","human pathogens","ready-to-eat-crops","phyllosphere"],"licence":"Open government licence","lineage":"Persistence experiments, examining the survival of S. Typhimurium and V. cholerae were set up by placing spinach and basil leaves in petri dishes and adding plastic mulch with a biofilm containing each pathogen to the leaf surface. Over time samples were destructively sampled by removing the plastic, washing the leaf surface and cutting a circle from the leaf. These three sections (plastic, wash and cut leaf) were then resuspended and plated on to selevctive media. Any surviving bacteria were quantified using CFUs. Negative control leaves with no plastics or bacteria were analysed at each time point.","orcid":["https://orcid.org/0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a514a386-18d7-4925-a3d4-fb5a2922e135","10.5285/a514a386-18d7-4925-a3d4-fb5a2922e135"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","University of Stirling","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., & Quilliam, R. S. (2024). Salmonella Typhimurium and Vibrio cholerae can be transferred from plastic mulch to basil and spinach salad leaves. In Heliyon (Vol. 10, Issue 10, p. e31343). Elsevier BV. "],"title":"Survival rates and transfer potential measurements of Salmonella Typhimurium and Vibrio cholerae colonising plastic mulch onto basil and spinach salad leaves","topic":["0/Environmental risk/","0/Pollution/","0/Agriculture/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains experimental survival rate and transfer potential measurements of two known human pathogens, bacteria Salmonella Typhimurium and Vibrio cholerae, on plastic mulch and ready-to-eat crop plants. Colony forming units (CFUs) were used to measure persistence..."},{"publicationDate":"2024-06-19T00:00:00.000+00:00","authorAffiliation":["University of Leeds"],"authorGivenName":["Y.","L.","J.","H.F."],"authorFamilyName":["Wang","Carter","Smith","Chappell"],"authorFullName":["Wang, Y.","Carter, L.","Smith, J.","Chappell, H.F."],"authorOrcid":["https://orcid.org/0000-0002-1146-7920","https://orcid.org/0000-0002-7465-6067","https://orcid.org/0000-0003-2043-0422"],"authorRor":["https://ror.org/024mrxd33"],"catalogue":"eidc","description":"These data comprise input and output files from first principles molecular dynamics calculations on the soil mineral kaolinite, detailing its interactions with four different veterinary antibiotics, namely enrofloxacin, florfenicol, ciprofloxacin and florfenicol amine. The dataset includes the final, complete molecular dynamics trajectories of the sorption process of each antibiotic on the mineral surfaces (Al-terminated or Si-terminated). The data were collected as part of the NERC Exploring the Frontiers grant (Grant No. NE/X009572/1), ‘Antibiotic chemistry in agricultural soils: modelling mineral-antibiotic interactions from first principles’. The work fits within the broad field of ‘emerging contaminants’ in the environment, and understanding drivers of antimicrobial resistance (AMR).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/X009572/1"],"identifier":"ce86e353-5068-48a6-99bc-4898201d6e6b","incomingCitationCount":0,"givenName":["H.F.","Y.","L.","J."],"familyName":["Chappell","Wang","Carter","Smith"],"fullName":["Chappell, H.F.","Wang, Y.","Carter, L.","Smith, J."],"keyword":["Environmental risk","emerging contaminants","sorption chemistry","kaolinite","veterinary medicine","veterinary antibiotics"],"keywordsTheme":["Environmental risk"],"keywordsOther":["emerging contaminants","sorption chemistry","kaolinite","veterinary medicine","veterinary antibiotics"],"licence":"Open government licence","lineage":"The data were collected on the high-performance computers at Leeds University (ARC4) and the national facility ARCHER2. The data were collected throughout 2023. The data were collected as part of a NERC Exploring the Frontiers Grant Awarded in November 2022.","orcid":["https://orcid.org/0000-0003-2043-0422","https://orcid.org/0000-0002-1146-7920","https://orcid.org/0000-0002-7465-6067"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ce86e353-5068-48a6-99bc-4898201d6e6b","10.5285/ce86e353-5068-48a6-99bc-4898201d6e6b"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","title":"Sorption simulation data of veterinary antibiotic interactions with kaolinite surfaces","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"These data comprise input and output files from first principles molecular dynamics calculations on the soil mineral kaolinite, detailing its interactions with four different veterinary antibiotics, namely enrofloxacin, florfenicol, ciprofloxacin and florfenicol amine...."},{"publicationDate":"2021-09-16T00:00:00.000+00:00","authorAffiliation":["University of Bristol"],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"catalogue":"eidc","description":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given.","documentType":"GEMINI_DOCUMENT","identifier":"7c3ad803-fbd4-45c3-826b-fa04c902ded8","incomingCitationCount":0,"givenName":["K.","M.","H.","T.","V. C."],"familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"licence":"Open government licence","lineage":" This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 37 farms including date, eartag numbers of animals in the immediate environment, sample type and descriptive location. 2. Records of microbiological analyses of the samples to identify those containing E. coli resistant to amoxicillin, cephalexin and/or tetracycline.  3. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8","10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin,..."},{"publicationDate":"2015-07-17T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["J.S.","Nick A.","C.L."],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorOrcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models.","documentType":"GEMINI_DOCUMENT","identifier":"d0a6a8bf-68f0-4935-8b43-4e597c3bf251","incomingCitationCount":3,"givenName":["Nick A.","J.S.","C.L."],"familyName":["Beresford","Chaplow","Barnett"],"fullName":["Beresford, N.A.","Chaplow, J.S.","Barnett, C.L."],"keyword":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone","Pollution","Radioecology","radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsPlace":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone"],"keywordsTheme":["Pollution","Radioecology"],"keywordsOther":["radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"licence":"Open government licence","lineage":"Vegetation was clipped from 1 metre squared quadrats to a height of 1 centimetre above ground level. Samples were dried at 80 degrees centigrade, weighed, ground and counted in plastic containers (130 millilitre) on a NaI(T1) detector to determine the radiocaesium activity. The most active samples were recounted on a high resolution germanium detector. Soil type was noted at each site (Soil survey 1983). Soil samples were allocated to a series of textural categories (Clay (particles of less than 2 m in diameter); Silt (particles of 2-40 micron diameter); Sand (particles of 50 micron -2millimetre diameter); Organic (humified plant material); Loam (significant quantities of material from 3 or more categories). Soil pH was determined using an antimony electrode pH meter. Animal samples consisted of necks and rumen contents from 70 red deer (Cervus elaphus), whole bodies of three species of lagomorphs (25 rabbits (Oryctolagus cuniculus) and 2 black hares (Lepus capensis), two species of grouse (13 red grouse (Lagopus lagopus), 4 black game (Tetrao tetrix), and 22 foxes (Vulpes vulpes) totalling 141 flesh and 94 gut samples. Samples of flesh were removed from the neck of the deer, from the legs and back of the hares, rabbits and foxes, and from the breast muscle of the grouse. These were weighed fresh and placed in standard counting containers which were kept in a deep freeze until required for analysis. Each sample was thawed for 24 hours prior to counting. Samples were analysed by high resolution gamma spectrometry using either hyperpure germanium or germanium lithium detectors with relative efficiencies of 20 to 25 percent. Counting times varied between 25k to 80k seconds. Detectors were calibrated. The column headings for Easting, Northing and Sampling_date' in dataset 4 are labelled incorrectly. The correct order should be column C Sampling_date, column D Easting, column E Northing.","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/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1409748590053","https://catalogue.ceh.ac.uk/id/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Howard, B. J., Beresford, N. A., Burrow, L., Shaw, P. V., & Curtis, E. J. C. (1987). A comparison of caesium 137 and 134 activity in sheep remaining on upland areas contaminated by Chernobyl fallout with those removed to less active lowland pasture. Journal of the Society for Radiological Protection, 7(2), 71-73.","Horrill, A.D.; Howard, D.M. (1991).  Chernobyl fallout in three areas of upland pasture in West Cumbria. Journal of Radiological Protection, 11 (4). 249-257. ","Howard, B. J., & Beresford, N. A. (1989). Chernobyl radiocaesium in an upland sheep farm ecosystem. British Veterinary Journal, 145(3), 212-219. ","Dighton, J., & Horrill, A. D. (1988). Radiocaesium accumulation in the mycorrhizal fungi Lactarius rufus and Inocybe longicystis, in upland Britain, following the Chernobyl accident. Transactions of the British Mycological Society, 91(2), 335-337. ","Horrill, A.D.; Lowe, V.W.; Howson, G.. 1988 Chernobyl fallout in Great Britain. Final report. NERC/Institute of Terrestrial Ecology, 55pp. (T07006e1) (Unpublished)","Beresford, N. A., Howard, B. J., Barnett, C. L., & Crout, N. M. J. (1992). The uptake by vegetation of chernobyl and aged radiocaesium in upland West Cumbria. Journal of Environmental Radioactivity, 16(2), 181-195. ","Howard B. J.; Beresford, N. A.; Hove, K. (1991).  Transfer of Radiocaesium to Ruminants in Natural and Semi-natural Ecosystems and Appropriate Countermeasures. Health Physics 61, 6.","Wright, S. M., Smith, J. T., Beresford, N. A., & Scott, W. A. (2003). Monte-Carlo prediction of changes in areas of west Cumbria requiring restrictions on sheep following the Chernobyl accident. Radiation and Environmental Biophysics, 42(1), 41-47. ","Smith, J. T., Comans, R. N. J., Beresford, N. A., Wright, S. M., Howard, B. J., & Camplin, W. C. (2000). Chernobyl's legacy in food and water. Nature, 405(6783), 141-141. ","Beresford, N. A., Barnett, C. L., Wright, S. M., Howard, B. J., & Crout, N. M. J. (2007). Factors contributing to radiocaesium variability in upland sheep flocks in west Cumbria (United Kingdom). Journal of Environmental Radioactivity, 98(1-2), 50-68. "],"supplementalName":["Journal paper"],"title":"Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology..."},{"publicationDate":"2021-09-16T00:00:00.000+00:00","authorAffiliation":["University of Bristol"],"authorGivenName":["K.","M.","H.","T.","V.C."],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"catalogue":"eidc","description":"This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms.  The samples were analysed for presence of E. coli resistant to amoxicillin, streptomycin, cephalexin, tetracycline and/or ciprofloxacin. Management factors deemed related to pre-weaned calves are included, including antibiotic usage data at farm level.","documentType":"GEMINI_DOCUMENT","identifier":"808b2b62-14db-4483-b0e6-5f533c007eec","incomingCitationCount":0,"givenName":["K.","M.","H.","T.","V.C.","V. C."],"familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"licence":"Open government licence","lineage":"This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 51 farms including date, type, eartag numbers of animals in the immediate environment, and descriptive location of sample. 2. Results of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin. 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism.  3. For samples where E. coli resistant to cephalexin was detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/808b2b62-14db-4483-b0e6-5f533c007eec","10.5285/808b2b62-14db-4483-b0e6-5f533c007eec"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Management data and antibiotic resistant E. coli detection in pre-weaned calves on 51 dairy farms, South West England, 2017-2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset consists of faecally-contaminated samples taken from the environment around pre-weaned calves on 51 farms in South-West England during 2017/2018 and is a subset of a larger dataset investigating antibiotic resistance in E. coli across 53 farms.  The samples..."},{"publicationDate":"2016-07-11T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg"],"authorGivenName":["M.","S.","K.","J."],"authorFamilyName":["Tanguy","Bachmair","Stahl","Hannaford"],"authorFullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0245cg223"],"catalogue":"eidc","description":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators:\n - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index);\n - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature);\n - the Vegetation Health Index (VHI) which is a combination of VCI and TCI.\n\nThese three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together.","documentType":"GEMINI_DOCUMENT","identifier":"5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","incomingCitationCount":1,"givenName":["M.","S.","K.","J."],"familyName":["Tanguy","Bachmair","Stahl","Hannaford"],"fullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"keyword":["Environmental risk","Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsTheme":["Environmental risk"],"keywordsOther":["Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"licence":"Open government licence","lineage":"Time series for three drought indicators based on remote sensing have been extracted for European NUTS regions (level 0, 1, 2 and 3). The Nomenclature of Territorial Units for Statistics, (NUTS, for the French Nomenclature des unités territoriales statistiques), developed by the European Union, is a geocode standard for referencing the administrative divisions of countries for statistical purposes. A land use mask was applied to extract the time series, to differentiate the contribution of crops, grass, forest and shrubs. There is also one time series for each NUTS region which includes all classes. The land cover product used to produce the mask was remote sensing MODIS product MCD12C1 (year 2012) which has a 0.05 degree resolution. The three drought indicators extracted are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These indicators were first calculated as a gridded product for Europe with a 0.05 degree resolution and monthly time step (2000-2015), using MODIS product MOD13C2 for NDVI, and MODIS product MOD11C3 for LST, following methodology described by Kogan (1995; https://doi.org/10.1016/0273-1177(95)00079-T). The time series were then extracted applying the simplified land use classification mask (crops, forest, grass, shrubs) to each NUTS region, and an additional time series for all classes. For each time step, a value was produced only if at least 50% of the pixels within the non-masked area had valid values.\n\nNOTE: there are two types of \"No Data\" value. Value '--' means there were no pixels with valid values within the non-masked area. Value 'nan' means there were some pixels with valid values within the non-masked area, but these covered less than 50% of the area. These time steps were discarded as less than 50% was considered not representative enough of the whole area.\n","locations":["POLYGON((-15 30, -15 75, 45 75, 45 30, -15 30))"],"orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"state":"published","title":"Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has..."},{"publicationDate":"2012-04-02T00:00:00.000+00:00","catalogue":"eidc","description":"This dataset includes data collected from the Bowl site located with the Pontbren study catchment in mid Wales, UK. The Bowl is an area of improved grassland and was instrumented between 2004 to 2010 and monitored as part of the Pontbren Catchment Study Land Use and Management Multi Scale Experimental Programme. Variables measured and included in this dataset are the drain flow from a field drain, overland flow runoff and soil water tension within the improved grassland hillslope. Other variables measured at the Bowl but not included in this dataset are: climatic data from an automatic weather station, precipitation, groundwater height, and soil moisture data (using a neutron probe); these other datasets are also available.   Within this Pontbren Bowl study site folder are a series of sub-folders with different datasets all associated with the Bowl study site. The Bowl runoff folder includes all runoff data from the Bowl study site. Runoff from the Bowl in the form of overland and drain flow was monitored using a combination of tipping bucket and weir box monitoring systems. Flow is measured in litres/second (ls-1) and runoff data from the bowl was collected for the period end of 2004 to 2010. Differences in sampling time occurred throughout the monitoring period due to logger limitations. Changes in sampling time can be found by examining specific data files. Changes in the size of the bucket of the tipping bucket system also occurred during the monitoring period. It is considered that the weir boxes provide a more accurate prediction of the highest flows, however there are times when they are not operation. The Bowl tensiometers folder contains soil water tension (cm H2O) data collected from two transects with arrays of tensiometers measuring soil water tension at 10 cm, 30 cm and 50 cm depth. Soil water tension data for the Bowl study site exist for the period 2005-2009. Data are provided in the form of .txt files and generally split into 6 month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Note that for the Bowl tensiometer data in the early years of monitoring data from both transects are provided in one file. From March 2008 onwards there is a reduction in the number of tensiometers installed and the data files are split. Files with BotQC in the title contain data from the lower array of tensiometers and files with TopQC in the title contain data from the array of tensiometers further up the hillslope of the Bowl study site.  Details of the dataset and the quality assurance coding system are provided in the supporting documentation. ","documentType":"GEMINI_DOCUMENT","identifier":"11caad35-4a33-4ad8-852b-6c120fd250e2","incomingCitationCount":0,"givenName":["Miles"],"familyName":["Marshall"],"fullName":["Marshall, M."],"keyword":["United Kingdom","Wales","Pontbren","Soil","Environmental risk","Hydrology","flooding","hydrology","water (geographic)","flood risk management"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Soil","Environmental risk","Hydrology"],"keywordsOther":["flooding","hydrology","water (geographic)","flood risk management"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling.  Full details provided in the 'Pontbren Catchment Study Data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1331814014953","https://catalogue.ceh.ac.uk/id/11caad35-4a33-4ad8-852b-6c120fd250e2"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["The Flood Risk Management Research Consortium website.","Marshall, M.R., Francis, O.J., Frogbrook, Z.L., Jackson, B.M., McIntyre, N., Reynolds, B., Solloway, I., Wheater, H.S. and Chell, J.  2009. The impact of upland land management on flooding: results from an improved pasture hillslope.  Hydrological Processes, 23, 464-475.","Wheater, H., Reynolds, B., McIntyre, N., Marshall, M., Jackson, B., Frogbrook, Z., Solloway, I., Francis, O. and Chell, J.  2008.  Impacts of upland management on flood risk: multi-scale modelling on methodology and results from the Pontbren Experiment.  FRMRC Research Report UR 16.  December 2008.  "],"supplementalName":["FRMRC website"],"title":"Pontbren Bowl study site runoff and soil water tension data","topic":["0/Soil/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","bpu"],"shortenedDescription":"This dataset includes data collected from the Bowl site located with the Pontbren study catchment in mid Wales, UK. The Bowl is an area of improved grassland and was instrumented between 2004 to 2010 and monitored as part of the Pontbren Catchment Study Land Use and..."},{"publicationDate":"2020-10-16T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","The University of Adelaide","Manaaki Whenua – Landcare Research","CONICET","Universidad de Concepción","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","Servicio Agrícola y Ganadero"],"authorGivenName":["P.","G. ","X.","L. ","J.C. ","P.A.","D.F.R.P.","M.","G.","L.","A.","M.F.","B.","E. ","J.","M.A.","E.","I.","J.A."],"authorFamilyName":["García Díaz","Cassey","Norbury","Lambin","Montti","Pizarro","Powell","Burslem","Cava","Damasceno","Fasola","Fidelis","Huerta","Langdon","Linardaki","Moyano","Núñez","Pauchard","Phimister","Raffo","Roesler","Rodríguez-Jorquera","Tomasevic"],"authorFullName":["García Díaz, P.","Cassey, P.","Norbury, G.","Lambin, X.","Montti, L.","Pizarro, J.C.","Powell, P.A.","Burslem, D.F.R.P.","Cava, M.","Damasceno, G.","Fasola, L.","Fidelis, A.","Huerta, M.F.","Langdon, B.","Linardaki, E.","Moyano, J.","Núñez, M.A.","Pauchard, A.","Phimister, E.","Raffo, E.","Roesler, I.","Rodríguez-Jorquera, I.","Tomasevic, J.A."],"catalogue":"eidc","description":"This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes.  It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated outcomes. Overall, 373 publications were assessed. \n\nThe literature search on Web of Science and the subsequent screening were conducted between May and July 2020.","documentType":"GEMINI_DOCUMENT","identifier":"7b274f84-0d93-416d-a5b3-54f3387cebd5","incomingCitationCount":0,"givenName":["P.","G. ","X.","L. ","J.C. ","P.A.","D.F.R.P.","M.","G.","L.","A.","M.F.","B.","E. ","J.","M.A.","E.","I.","J.A.","Pablo"],"familyName":["García Díaz","Cassey","Norbury","Lambin","Montti","Pizarro","Powell","Burslem","Cava","Damasceno","Fasola","Fidelis","Huerta","Langdon","Linardaki","Moyano","Núñez","Pauchard","Phimister","Raffo","Roesler","Rodríguez-Jorquera","Tomasevic","Garcia"],"fullName":["García Díaz, P.","Cassey, P.","Norbury, G.","Lambin, X.","Montti, L.","Pizarro, J.C.","Powell, P.A.","Burslem, D.F.R.P.","Cava, M.","Damasceno, G.","Fasola, L.","Fidelis, A.","Huerta, M.F.","Langdon, B.","Linardaki, E.","Moyano, J.","Núñez, M.A.","Pauchard, A.","Phimister, E.","Raffo, E.","Roesler, I.","Rodríguez-Jorquera, I.","Tomasevic, J.A.","Garcia, P."],"keyword":["Environmental risk","Invasive species","literature study"],"keywordsTheme":["Environmental risk","Invasive species"],"keywordsOther":["literature study"],"licence":"Open government licence","lineage":"Literature review was based on a Web of Science search for the keywords \"invasive species control efficacy\". The search yielded a total of 682 publications. Studies about biofouling and ballast water were excluded because these were about preventing the release of new invasive alien species (IAS) rather than controlling established populations. Laboratory-only experiments were also excluded but aquarium, greenhouse, and mesocosmos experiments were retained as these experimental designs can be used to assess IAS impacts and the relationship between IAS control and the outcomes of this intervention. Overall, 373 publications were assessed as relevant.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"organisation":["University of Aberdeen","The University of Adelaide","Manaaki Whenua – Landcare Research","CONICET","Universidad de Concepción","Universidade Estadual Paulista (UNESP)","Universidad Austral de Chile","Universidad Nacional del Comahue","Servicio Agrícola y Ganadero","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7b274f84-0d93-416d-a5b3-54f3387cebd5","10.5285/7b274f84-0d93-416d-a5b3-54f3387cebd5"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193","https://ror.org/016476m91"],"state":"published","title":"Summary data on the outcomes of invasive alien species control interventions from published literature","topic":["0/Environmental risk/","0/Invasive species/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"This dataset comprises summary data for a literature search on invasive alien species (IAS) control efficacy and their outcomes.  It contains article title, authors, journal, year of publication, taxa investigated, type of control method, and whether the paper evaluated..."},{"publicationDate":"2020-07-10T00:00:00.000+00:00","authorAffiliation":["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","https://orcid.org/0000-0002-2474-6558","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/051xgzg37","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. \n\nThe yield loss calculations were done as part of the NERC funded SUNRISE project and National Capability Project NC-Air quality impacts on food security, ecosystems and health.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R000131/1"],"identifier":"2a932995-f040-4724-ad21-3e92ae8a2540","incomingCitationCount":1,"givenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"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":["SUNRISE","Agriculture","Environmental risk","Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsProject":["SUNRISE"],"keywordsTheme":["Agriculture","Environmental risk"],"keywordsOther":["Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"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:\n     percentage 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","https://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0001-5370-4894"],"organisation":["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 Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a932995-f040-4724-ad21-3e92ae8a2540","10.5285/2a932995-f040-4724-ad21-3e92ae8a2540"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Mills, G., Sharps, K., Simpson, D., Pleijel, H., Broberg, M., Uddling, J., … Van Dingenen, R. (2018). Ozone pollution will compromise efforts to increase global wheat production. Global Change Biology, 24(8), 3560–3574.\n\n","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, Á., & Wind, P. (2012). The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12(16), 7825–7865. "],"supplementalName":["Report","SUNRISE website","EMEP website"],"title":"Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2","topic":["0/Agriculture/","0/Environmental risk/"],"version":2.0,"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":"2025-02-26T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.","S.J.","S."],"authorFamilyName":["Carnell","Tomlinson","Reis"],"authorFullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"authorOrcid":["https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-2428-8320"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","funder":["Department for Environment Food and Rural Affairs"],"identifier":"7beefde9-c520-4ddf-897a-0167e8918595","incomingCitationCount":0,"givenName":["E.","S.J.","S."],"familyName":["Carnell","Tomlinson","Reis"],"fullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"keyword":["UK","Mapping","Environmental risk","population","land cover","Gridded"],"keywordsPlace":["UK"],"keywordsTheme":["Mapping","Environmental risk"],"keywordsOther":["population","UK","land cover","Gridded"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files.\nLand Cover Map 2021 raster data has been obtained from UKCEH.\nOutput Area (/Data Zone) geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\nThe processing steps are detailed in the Supporting Documentation.\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-2428-8320"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7beefde9-c520-4ddf-897a-0167e8918595","10.5285/7beefde9-c520-4ddf-897a-0167e8918595"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency"],"supplementalName":["Land Cover Map 2021 (25m rasterised land parcels, GB)  ","Land Cover Map 2021 (25m rasterised land parcels, NI)  ","England and Wales Output Areas","Scotland Output Areas","Northern Ireland Data Zones"],"title":"UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","tinzha"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical..."},{"publicationDate":"2022-10-18T00:00:00.000+00:00","authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorGivenName":["L.","J.","K.N."],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"givenName":["L.","J.","K.N."],"familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","Hydrology"],"keywordsOther":["flood","hydrology"],"licence":"Open government licence","lineage":"Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.","locations":["POLYGON((101.831 8.186, 101.831 23.554, 110.752 23.554, 110.752 8.186, 101.831 8.186))"],"orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)","Fathom","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Sampson et al ","Neal et al ","Hawker et al "],"title":"Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000..."},{"publicationDate":"2025-04-22T00:00:00.000+00:00","authorAffiliation":["University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds"],"authorGivenName":["J.","Emin Yahya","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"authorFamilyName":["McCloskey","Menteşe","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"authorFullName":["McCloskey, J.","Menteşe, E.Y.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"authorOrcid":["https://orcid.org/0000-0002-7187-4384","https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-5445-4911","https://orcid.org/0000-0001-6182-9208","https://orcid.org/0000-0003-0422-4063","https://orcid.org/0000-0001-6694-8994","https://orcid.org/0000-0003-2656-961X","https://orcid.org/0000-0003-4719-7130","https://orcid.org/0000-0002-6472-9875"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33"],"catalogue":"eidc","description":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means of its socio-economic and physical aspects. It covers an area of 500ha located south of Kathmandu (Nepal).  The dataset consists of 5 different data types:\n\n-\tBuildings: Data representing the building footprints for today and 50 years from now including specific attributes to be used within multi-hazard risk assessments.\n-\tLand uses: Data representing the land use information for today and 50 years from now.\n-\tVulnerability: Tabular files that contain vulnerability functions for buildings under earthquake and flood hazards.\n-\tHousehold: Data that contains social attributes of the Tomorrowville, such as the level of education, age, gender and working status of the individuals and their states in the households.\n-\tHazards: Data representing the hazards (earthquake (eq), floods (fl) and debris flows (df) that may impact the case study areas of Tomorrowville.\n\nObservational data of the built environment and socio-economical properties of Kathmandu and Nairobi were used in addition to synthetic social data to create the initial scenario. This is a synthetic social dataset, meaning it was derived from existing population projections and distributions for the testbed but does not reflect the reality on the ground. It is synthetically created using specific algorithms in a GIS environment to represent a Global South social context.\n\nFor the building data, Open Street Map (OSM) database is used as a basis. The data is scraped from OSM and modified to represent an urban context for Tomorrowville. The attributes are also modified to be able to use in a multi-hazard risk computation. A taxonomy string is generated for each building that represents an acronym for its building code level, number of storeys, occupation type and structural system. The hazards that were existing in the selected spatial extent were earthquake, flood, and debris flow. Hazard data represents an intensity measure for the relevant hazard type (ground acceleration for earthquake, flow velocity for the flood and debris flow hazards). The following hazard input data are included:\n\n-\tFor the flood simulations, the discharge and rainfall time series are generated based on moderate to peak daily data based on recorded data from the Department of Hydrology and Meteorology, Nepal.\n-\tEarthquake hazard sources are generated and simulated by Jenkins et al. (2023).\n-\tFor the debris-flow and flood simulations tri-stereo Pleiades satellite imagery is used to produce a 2m resolution Digital Elevation Model.\n\nThe work to create this dataset is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1)","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S009000/1"],"identifier":"8b5834a5-ae8a-4f24-836c-16fab961aeb3","incomingCitationCount":0,"givenName":["Emin Yahya","J.","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"familyName":["Menteşe","McCloskey","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"fullName":["Menteşe, E.Y.","McCloskey, J.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"keyword":["GCRF Urban Disaster Risk Hub","Environmental risk","GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsProject":["GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"keywordsOther":["GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"licence":"Open government licence","lineage":"As an interdisciplinary process, knowledge and perspective of different disciplines helped us shape the characteristics holistically and enabled us to construct a comprehensive understanding of the testbed. By bringing qualitative and quantitative approaches together, it became possible to integrate both social and physical characteristics with the facilitation of urban planning and GIS disciplines. The development of Tomorrowville started in June 2021. Between June and December 2021, there have been around 30 inter-disciplinary online meetings within our research group regarding the development of Tomorrowville. The team consisted of 2 structural engineers, 4 geoscientists, 4 social scientists and a GIS expert with an urban planning background. Local researchers from Kathmandu and Nairobi had structural engineering and urban planning expertise and they provided insight into our approach which enabled us to be more realistic in terms of the spatial context we represent within Tomorrowville.\n\nThe building footprints are derived from some sample data gathered from Open Street Map database and modified to fit the aims of the dataset. The exposure data is synthetic. All flood simulations are generated using Caesar-Lisflood, a landscape evolution model (LEM) that combines the hydrological and surface flow model, Lisflood-FP (Bates et al. 2010), with the CAESAR landscape evolution model (Coulthard et al. 2013). For landslide analysis digital elevation model from tri-stereo Pleiades satellite imagery is benefited. For debris-flow analysis, rainfall-driven LaharFlow dynamic hazard model is used. The vulnerability data are produced based on consultation with local partners and global vulnerability databases such as Joint Research Center’s “Global flood depth-damage functions: Methodology and the database with guidelines”.\n\nThe synthetic social data was produced through bespoke algorithms that considered population characteristics and projections relevant for the area. These algorithms are developed to generate a population that would live in future urban scenario within the designed built environment. The algorithms were coded in MATLAB software environment.","locations":["POLYGON((85.28 27.656, 85.28 27.745, 85.365 27.745, 85.365 27.656, 85.28 27.656))"],"orcid":["https://orcid.org/0000-0002-7187-4384","https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-5445-4911","https://orcid.org/0000-0001-6182-9208","https://orcid.org/0000-0003-0422-4063","https://orcid.org/0000-0001-6694-8994","https://orcid.org/0000-0003-2656-961X","https://orcid.org/0000-0003-4719-7130","https://orcid.org/0000-0002-6472-9875"],"organisation":["Anofa Engineering, Planning and Informatics Ltd","University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b5834a5-ae8a-4f24-836c-16fab961aeb3","10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Gentile, R., Cremen, G., Galasso, C., Jenkins, L. T., Manandhar, V., Menteşe, E. Y., Guragain, R., & McCloskey, J. (2022). Scoring, selecting, and developing physical impact models for multi-hazard risk assessment. In International Journal of Disaster Risk Reduction (Vol. 82, p. 103365). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103365","Jenkins, L. T., Creed, M. J., Tarbali, K., Muthusamy, M., Trogrlić, R. Š., Phillips, J. C., Watson, C. S., Sinclair, H. D., Galasso, C., & McCloskey, J. (2023). Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions. In International Journal of Disaster Risk Reduction (Vol. 84, p. 103338). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103338","Menteşe, E. Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M. E., & McCloskey, J. (2023). Future exposure modelling for risk-informed decision making in urban planning. In International Journal of Disaster Risk Reduction (Vol. 90, p. 103651). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2023.103651"],"title":"Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"],"shortenedDescription":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means..."},{"publicationDate":"2017-07-11T00:00:00.000+00:00","authorAffiliation":["University of Extremadura","University of Nottingham","Centre for Ecology & Hydrology"],"authorGivenName":["J.","M.","S.","C.","C.L.","Nicholas A.","A.","J.M.","J.G.","E.","J.S."],"authorFamilyName":["Guillén","Izquierdo","Young","Wells","Barnett","Beresford","Baeza","Salas","Muñóz-Serrano","Corrales-Vázquez","Muñoz-Muñoz","Tovar","Chaplow"],"authorFullName":["Guillén, J.","Izquierdo, M.","Young, S.","Wells, C.","Barnett, C.L.","Beresford, N.A.","Baeza, A.","Salas, A.","Muñóz-Serrano, A.","Corrales-Vázquez, J.M.","Muñoz-Muñoz, J.G.","Tovar, E.","Chaplow, J.S."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"authorRor":["https://ror.org/0174shg90","https://ror.org/01ee9ar58","https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise stable element concentrations in terrestrial Reference Animals and Plants (RAPs) and corresponding whole-body concentration ratios determined in two different Mediterranean ecosystems: a Pinewood and a Dehesa (grassland with disperse tree cover). The International Commission on Radiological Protection (ICRP) RAPs considered in the Pinewood ecosystem were Pine Tree and Wild Grass; whereas in the Dehesa ecosystem those considered were Deer, Rat, Earthworm, Bee, Frog, Duck and Wild Grass.\n\nThe data include: elemental concentrations in soils; elemental concentrations in  plants, invertebrates, vertebrate tissues and estimated concentrations for vertebrate whole-organisms; individual concentration ratios (relating the fresh matter concentration in organisms to the dry matter concentration in soil); vertebrate species tissue masses; fresh to dry matter data for invertebrate species; geometric and arithmetic mean and standard deviation summaries for elemental concentrations and concentration ratios.\n\nElemental concentrations presented include  I, Li, Be, B, Na, Mg, Al, P, S, K. Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb and U.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L000318/1"],"identifier":"a1ab8c79-3426-43a4-ab42-6d1b218d1cc6","incomingCitationCount":2,"givenName":["Nicholas A.","J.","M.","S.","C.","C.L.","A.","J.M.","J.G.","E.","J.S."],"familyName":["Beresford","Guillén","Izquierdo","Young","Wells","Barnett","Baeza","Salas","Muñóz-Serrano","Corrales-Vázquez","Muñoz-Muñoz","Tovar","Chaplow"],"fullName":["Beresford, N.A.","Guillén, J.","Izquierdo, M.","Young, S.","Wells, C.","Barnett, C.L.","Baeza, A.","Salas, A.","Muñóz-Serrano, A.","Corrales-Vázquez, J.M.","Muñoz-Muñoz, J.G.","Tovar, E.","Chaplow, J.S."],"keyword":["Dehesa","Spain","Radioecology","Apis mellifera","Pelophylax perezi","Briza minor","Apodemus sylvaticus","Cervus elaphus","Anas platyrhynchos"],"keywordsPlace":["Dehesa","Spain"],"keywordsTheme":["Radioecology"],"keywordsOther":["Apis mellifera","Pelophylax perezi","Briza minor","Apodemus sylvaticus","Cervus elaphus","Anas platyrhynchos"],"licence":"Open government licence","lineage":"Samples of earthworms (Lumbricidae spp), bees (Apis mellifera), frogs (Pelophylax perezi), rats (Apodemus sylvaticus), deer (Cervus elaphus): duck (Anas platyrhynchos), wild grass (Briza minor), pine tree and soil were collected. Samples were prepared for analysis (dried and ground where applicable) and digested prior to ICP-MS analysis. Iodine analysis was also performed. Full materials and methods available by downloading the supporting documentation.","locations":["POLYGON((-7.539 37.864, -7.539 40.584, -4.747 40.584, -4.747 37.864, -7.539 37.864))"],"orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","University of Extremadura","University of Nottingham","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1ab8c79-3426-43a4-ab42-6d1b218d1cc6","10.5285/a1ab8c79-3426-43a4-ab42-6d1b218d1cc6"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0174shg90","https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Barnett, C.L., Beresford, N.A., Walker, L.A., Baxter, M., Wells, C., & Copplestone, D. (2013). Transfer parameters for ICRP reference animals and plants collected from a forest ecosystem. Radiation and Environmental Biophysics, 53(1), 125-149","IAEA (Contributors: Howard, B.J., Beresford, N.A.,Barnett, C.L.,  Wells, C.) 2014 Handbook of parameter values for the prediction of radionuclide transfer to wildlife. Technical Reports Series No. 479 (Beresford, N.A., Howard, B.J. [Eds]) IAEA, Vienna. "],"title":"Elemental concentrations in representative species of the ICRP's Reference Animals and Plants and associated soils in terrestrial Mediterranean ecosystems in Spain","topic":["0/Radioecology/"],"version":1.0,"view":["public","jgar"],"shortenedDescription":"Data comprise stable element concentrations in terrestrial Reference Animals and Plants (RAPs) and corresponding whole-body concentration ratios determined in two different Mediterranean ecosystems: a Pinewood and a Dehesa (grassland with disperse tree cover). The International..."},{"publicationDate":"2025-05-27T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"authorFamilyName":["Bowes","Armstrong","Nicholls","Williams","O’Brien","Duenas-Lopez","Duke","Juergens"],"authorFullName":["Bowes, M.J.","Armstrong, L.K.","Nicholls, D.J.E.","Williams, M.","O’Brien, A.","Duenas-Lopez, M.A.","Duke, E.","Juergens, M.D."],"authorOrcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-6526-589X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity, and chlorophyll. This catchment-wide biogeochemical monitoring platform captures changes in the water quality of the Thames basin during a period of rapid change, related to increasing pressures (due to a rapidly growing human population, increasing water demand and climate change) and improvements in sewage treatment processes and agricultural practices. The dataset provides the research community with a valuable data and modelling resource for furthering our understanding of pollution sources and dynamics, and vital underpinning environmental data required to best manage this vital drinking water resource, which is key for the sustainability of the city of London and the wider UK economy. ","documentType":"GEMINI_DOCUMENT","identifier":"703af27b-ce8c-44e0-ac20-b46e391a64ef","incomingCitationCount":0,"givenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"familyName":["Bowes","Armstrong","Nicholls","Williams","O’Brien","Duenas-Lopez","Duke","Juergens"],"fullName":["Bowes, M.J.","Armstrong, L.K.","Nicholls, D.J.E.","Williams, M.","O’Brien, A.","Duenas-Lopez, M.A.","Duke, E.","Juergens, M.D."],"keyword":["Thames Catchment","Southeast England","Environmental risk","Water quality","water quality","chemistry","Nutrients","river pollution"],"keywordsPlace":["Thames Catchment","Southeast England"],"keywordsTheme":["Environmental risk","Water quality"],"keywordsOther":["water quality","chemistry","Nutrients","river pollution"],"licence":"Open government licence","lineage":"All water samples were collected by fieldworkers from the UK Centre for Ecology & Hydrology (UKCEH), Wallingford.  All chemical analysis was carried out by the Nutrient Chemistry Laboratories at CEH Wallingford.  ","locations":["POLYGON((-1.846 51.276, -1.846 52.176, 1.208 52.176, 1.208 51.276, -1.846 51.276))"],"orcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-6526-589X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/703af27b-ce8c-44e0-ac20-b46e391a64ef","10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Bowes, M. J., Armstrong, L. K., Harman, S. A., Wickham, H. D., Nicholls, D. J. E., Scarlett, P. M., Roberts, C., Jarvie, H. P., Old, G. H., Gozzard, E., Bachiller-Jareno, N., & Read, D. S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637–1653. https://doi.org/10.5194/essd-10-1637-2018\n"],"title":"Weekly water quality data from the River Thames and its major tributaries, 2009-2023","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","katwri"],"shortenedDescription":"This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity,..."},{"publicationDate":"2021-02-01T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["J.S.","N.A.","C.L."],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorOrcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"The data comprise collated data on calcium and magnesium (milligrams per kilogram dry mass) in plants used as human and animal food (including fruit, vegetables, grasses, nuts and seeds) from global literature published between 1982 and 2019. Where reported strontium values are also included. Each data point is referenced.","documentType":"GEMINI_DOCUMENT","identifier":"6a0552d9-b9f8-4b5d-809d-47c9bf64ef94","incomingCitationCount":0,"givenName":["Jacky","J.S.","N.A.","C.L."],"familyName":["Chaplow","Beresford","Barnett"],"fullName":["Chaplow, J.","Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"keyword":["CONFIDENCE","CONCERT","Environmental risk","Radioecology","magnesium","EURATOM","strontium","calcium"],"keywordsProject":["CONFIDENCE","CONCERT"],"keywordsTheme":["Environmental risk","Radioecology"],"keywordsOther":["magnesium","EURATOM","strontium","calcium"],"licence":"Open government licence","lineage":"Data were collated from published global literature and converted to milligrams per kilogram dry mass. If the water content had already been accounted for in the published data, the water_content_% column contains n/a. Where water content was not already accounted for in the data, the percentage water content is provided and was applied to the data. The data were filtered and the ranges checked; outlier values were checked for accuracy. Each data point is referenced and a full list of references is provided in the supporting document.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6a0552d9-b9f8-4b5d-809d-47c9bf64ef94","10.5285/6a0552d9-b9f8-4b5d-809d-47c9bf64ef94"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Calcium and magnesium concentrations in plants used as human and animal foods derived from global literature","topic":["0/Environmental risk/","0/Radioecology/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"The data comprise collated data on calcium and magnesium (milligrams per kilogram dry mass) in plants used as human and animal food (including fruit, vegetables, grasses, nuts and seeds) from global literature published between 1982 and 2019. Where reported strontium..."},{"publicationDate":"2022-09-06T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["E.","J.","G.","P."],"authorFamilyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"authorFullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"authorOrcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided.\n\nThis dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/L002531/1","NE/L002566/1"],"identifier":"cf70f798-442a-4775-963c-b6600023830f","incomingCitationCount":0,"givenName":["E.","J.","G.","P."],"familyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"fullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"keyword":["Oxfordshire","Cotswolds","Thames Basin","Hydrology","Environmental risk","natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsPlace":["Oxfordshire","Cotswolds","Thames Basin"],"keywordsTheme":["Hydrology","Environmental risk"],"keywordsOther":["natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"licence":"Open government licence","lineage":"Data were generated using pressure sensors supplied with a factory calibration. A barometric correction was applied to sensor pressure time-series. Barometric corrected pressure data were then calibrated to stage using a linear regression developed between these data and observed stage board readings. After this correction data were quality controlled to flag any spurious readings, which were removed and interpolated if appropriate. Flood Storage Area (FSA) volume for each feature was estimated using a Digital Elevation Model (DEM) produced with LiDAR data. If LiDAR data were not available, as-built manual survey data were interpolated using the Natural Neighbour method. The DEMs were imported into ArcGIS to create a raster and apply a depth-area-volume toolset for each FSA. The continuous corrected water level time-series in each FSA was then used to produce a time-series of stored volume for each FSA, by matching the water level time-series to the depth-stored volume lookup table produced from ArcGIS.","locations":["POLYGON((-1.6 51.85, -1.6 51.88, -1.66 51.88, -1.66 51.85, -1.6 51.85))"],"orcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf70f798-442a-4775-963c-b6600023830f","10.5285/cf70f798-442a-4775-963c-b6600023830f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset..."},{"publicationDate":"2019-09-17T00:00:00.000+00:00","authorAffiliation":["Ukrainian Institute of Agricultural Radiology (UIAR)","Centre for Ecology & Hydrology"],"authorGivenName":["V.","S.","M.","N.A.","J.S."],"authorFamilyName":["Kashparov","Levchuk","Zhurba","Protsak","Beresford","Chaplow"],"authorFullName":["Kashparov, V.","Levchuk, S.","Zhurba, M.","Protsak, V.","Beresford, N.A.","Chaplow, J.S."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear power plant (ChNPP) in 1987 following the Chernobyl nuclear accident on 26th April 1986.\nThe work was carried out by the Ukrainian Institute of Agricultural Radiology (UIAR), a division of National University of Life and Environmental Sciences of Ukraine. Funding for preparing this data set was provided by the TREE project (funded by NERC, the Environment Agency and Radioactive Waste Management Ltd under the RATE programme) and associated iCLEAR projects (funded by NERC).\n","documentType":"GEMINI_DOCUMENT","identifier":"a408ac9d-763e-4f4c-ba72-73bc2d1f596d","incomingCitationCount":1,"givenName":["V.","S.","M.","N.A.","J.S.","Jacky"],"familyName":["Kashparov","Levchuk","Zhurba","Protsak","Beresford","Chaplow"],"fullName":["Kashparov, V.","Levchuk, S.","Zhurba, M.","Protsak, V.","Beresford, N.A.","Chaplow, J.S.","Chaplow, J."],"keyword":["Chornobyl","Chernobyl","Ukraine","Radioecology","Soil"],"keywordsPlace":["Chornobyl","Chernobyl","Ukraine"],"keywordsTheme":["Radioecology","Soil"],"licence":"Open government licence","lineage":"A radial network of sample points every 10° (from 10° tо 360° clockwise) at distances of 5, 6, 7, 8.3, 10, 12, 14.7, 17, 20, 25, 30, 37.5, 45, 52.5 and 60 km from the Chernobyl nuclear power plant (resulting in 540 sample points) was established in April-May 1987. Geo-referencing of sampling points was performed using maps and topography. \nSamples were collected from all sampling points except those located in swamps, rivers and lakes; in total 489 of the 540 selected points were sampled.  Soils were sampled using a corer with a diameter of 14 cm and depth of 5 cm. Equivalent dose rate was measured at a height of 1 m above ground at each sampling point. At each sampling site, soil samples were collected from five points using an envelope sampling design (with approximately 5-10 m between sampling points). Each soil sample was retained intact within the corer during transportation to maintain sample integrity and prevent mixing.\nOne soil sample from each sampling site was analysed in a 1 litre Marinelli container by the UIAR laboratory using a high-purity germanium detector (GEM-30185, ORTEC, USA) and a multichannel analyser “ADCAM-300” (ORTEC, USA) to determine the concentrations of gamma-emitting radionuclides (95Zr+95Nd, 106Ru, 134,137Cs, 144Ce). A 100 g aliquot of soil was leached using 1M NH4Ac solution at pH 7 (solid: liquid ratio 1:5). The soil-extractant solution was shaken for 1 hour and then left for 1 day at room temperature. The solution was then filtered through medium ashless filter papers (3-5 µm) and put into a suitable container for analysis on a Ge-detector to determine the fraction of exchangeable 134,137Cs. \nRadionuclide activity concentrations in soils were used to calculate the density of soil contamination (1 Ci km-2= 37 kBq m-2) taking into account the area sampled (0.015 m2). Measured activity concentrations were reported at the 68% confidence level (i.e. one standard deviation). It has been estimated that when one discrete soil sample (area of sampling 0.015 m2) is used to estimate a value of average contamination density of the sampling site  (i.e. the area over which the five cores were collected) the uncertainty may be up to 50%.\n","locations":["POLYGON((30.16 51.27, 30.16 51.558, 29.681 51.558, 29.681 51.27, 30.16 51.27))"],"orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["Ukrainian Institute of Agricultural Radiology (UIAR)","Centre for Ecology & Hydrology","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/a408ac9d-763e-4f4c-ba72-73bc2d1f596d","10.5285/a408ac9d-763e-4f4c-ba72-73bc2d1f596d"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalName":["iCLEAR website","TREE website"],"title":"Spatial radionuclide deposition data from the 60 km radial area around the Chernobyl nuclear power plant, 1987","topic":["0/Radioecology/","0/Soil/"],"version":1.0,"view":["public","clwe"],"shortenedDescription":"Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear..."},{"publicationDate":"2011-12-31T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","University of Stirling"],"authorGivenName":["N.A.","C.L.","B.J.","D.C.","A.N.","S.","D."],"authorFamilyName":["Beresford","Barnett","Howard","Tyler","Bradley","Copplestone"],"authorFullName":["Beresford, N.A.","Barnett, C.L.","Howard, B.J.","Howard, D.C.","Tyler, A.N.","Bradley, S.","Copplestone, D."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/045wgfr59"],"catalogue":"eidc","description":"Following the Fukushima accident in March 2011, grass samples were collected from 42 sites around Great Britain during April 2011. Iodine-131 was measurable in grass samples across the country with activity concentrations ranging from 10 to 55 Bq per kg dry matter. Concentrations were similar to those reported in other European countries. Rainwater and some foodstuffs were also analysed from a limited number of sites. Of these, I-131 was only detectable in sheep's milk (c. 2 Bq/kg). Caesium-134, which can be attributed to releases from the Fukushima reactors, was detectable in six of the grass samples (4-8 Bq/kg dry matter); 137Cs was detected in a larger number of grass samples although previous release sources (atmospheric weapons test and the 1986 Chernobyl and 1957 Windscale accidents) are likely to have contributed to this. All data and information for this sampling are available from this record. The data result from collaboration between CEH and the University of Stirling.","documentType":"GEMINI_DOCUMENT","identifier":"1a91c7d1-ec44-4858-9af2-98d80f169bbd","incomingCitationCount":5,"givenName":["Nick","N.A.","C.L.","B.J.","D.C.","A.N.","S.","D."],"familyName":["Beresford","Barnett","Howard","Tyler","Bradley","Copplestone"],"fullName":["Beresford, N.","Beresford, N.A.","Barnett, C.L.","Howard, B.J.","Howard, D.C.","Tyler, A.N.","Bradley, S.","Copplestone, D."],"keyword":["Fukushima","Japan","Great Britain","Pollution","Radioecology","CEH Biogeochemistry Programme","I-131","TREE","COMET","radionuclide","radioactive contamination","caesium","vegetation","foodstuff"],"keywordsPlace":["Fukushima","Japan","Great Britain"],"keywordsTheme":["Pollution","Radioecology"],"keywordsOther":["CEH Biogeochemistry Programme","I-131","TREE","COMET","radionuclide","radioactive contamination","caesium","vegetation","foodstuff"],"licence":"Non-Open government licence","lineage":"Fresh grass and other vegetation samples were finely chopped and accurately weighed into 950 ml plastic containers prior to gamma analyses. Milk (sheep and goat), rainwater and homogenised egg content samples were accurately weighed into either 150 ml or 950 ml plastic containers depending upon the sample volume available. To determine the activity concentration of gamma-emitting radionuclides, fresh samples were analysed on hyper-pure germanium detectors as soon as possible after sampling and counted for 1-2 days depending upon their 131I activity concentration. The detectors are calibrated against standards of various density and volume, and the facilities regularly participate in proficiency testing schemes. ","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/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Stirling","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Natural Environment Research Council"],"recordType":"Dataset","resourceIdentifier":["1312373222406","https://catalogue.ceh.ac.uk/id/1a91c7d1-ec44-4858-9af2-98d80f169bbd","10.5285/1a91c7d1-ec44-4858-9af2-98d80f169bbd"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/045wgfr59","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"state":"published","supplementalDescription":["Johansen, M. P., Ruedig, E., Tagami, K., Uchida, S., Higley, K., & Beresford, N. A. (2015). Radiological Dose Rates to Marine Fish from the Fukushima Daiichi Accident: The First Three Years Across the North Pacific. Environmental Science & Technology, 49(3), 1277-1285"],"title":"Observations of Fukushima fallout in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","rjsc"],"shortenedDescription":"Following the Fukushima accident in March 2011, grass samples were collected from 42 sites around Great Britain during April 2011. 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