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All crustacean samples were collected either from Lock Lake, Portsmouth (marine crustacean Echinogammarus marinus) or from the River Ems, Emsworth (freshwater crustacean, Gammarus pulex). Laboratory experiments were conducted periodically from summer 2015 to autumn 2016 at the University of Portsmouth. The data are of use in elucidating the mechanisms and effects of low-dose ionising radiation on an important group of model organisms in radioecology. \n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.T."],"funder":["Natural Environment Research Council"],"givenName":["N.","J.T.","A.T."],"grant":["NE/L000393/1"],"identifier":"b70afb8f-0a2b-40e6-aecc-ce484256bbfb","incomingCitationCount":0,"keyword":["TRansfer - Exposure – Effects (TREE)","COMET","Radioecology","crustacean","Echinogammarus marinus","Gammarus pulex","animal reproduction","beta radiation","phosphorus-32","DNA","biological development"],"keywordsOther":["Radioecology","crustacean","Echinogammarus marinus","Gammarus pulex","animal reproduction","beta radiation","phosphorus-32","DNA","biological development"],"keywordsProject":["TRansfer - Exposure – Effects (TREE)","COMET"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Sperm quality data was ascertained using a LIVE/DEAD sperm viability kit on sperm suspensions obtained by dissection. DNA damage data was obtained using a modified comet assay method. ","locations":["POLYGON((-1.226 50.746, -1.226 51, -0.784 51, -0.784 50.746, -1.226 50.746))"],"metadataDate":"2026-06-27T18:36:07.000Z","orcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"organisation":["University of Portsmouth","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b70afb8f-0a2b-40e6-aecc-ce484256bbfb","10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb","doi:10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth…","state":"published","supplementalDescription":["This paper describes the software package that was used to calculate DNA damage in the associated dataset. "," This paper describes the methods used within this dataset to analyse embryo abnormalities within amphipods. "," Lacaze, E., Devaux, A., Mons, R., Bony, S., Garric, J., Geffard, A., & Geffard, O. (2011). DNA damage in caged Gammarus fossarum amphipods: A tool for freshwater genotoxicity assessment. Environmental Pollution, 159(6), 1682–1691. ","Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55-67. 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The dataset was generated from a controlled mesocosm experiment designed by researchers to investigate the effects of plastic mulch films on soil and plant systems. The data were collected during the experimental period and include measurements of soil properties, plant growth, nitrogen dynamics, greenhouse gas emissions, and microbial activity.\nPlastic materials were applied to soil at three concentrations (0.05%, 0.5%, and 1.5% w/w) and as realistic size mixtures of macro-, meso-, and microplastic fractions (1:1:1). The experiment was conducted using radish (Raphanus sativus L.) grown under controlled mesocosm conditions.\nData were collected through a combination of soil sampling, plant measurements, and laboratory analyses. These include soil physicochemical properties (e.g. bulk density, moisture), plant biomass and nutrient uptake (including ¹⁵N fertiliser partitioning), greenhouse gas emissions (e.g. N₂O, CO₂), and indicators of microbial activity. The dataset captures responses across different plastic types, degradation states, and concentrations, providing a structured comparison of their effects under controlled conditions.\nFurther methodological details and experimental procedures are provided in the lineage field and the supporting documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["M.","Martine","David R","Davey L"],"grant":["NE/V005871/1"],"identifier":"c2d4f068-e6bb-4613-8c43-e96b0aae25e8","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Soil","agricultural pollution","crop production","mulch","plastic","pollution","soil"],"keywordsOther":["agricultural pollution","crop production","mulch","plastic","pollution","soil"],"keywordsTheme":["Agriculture","Environmental risk","Soil"],"licence":"Open government licence","lineage":"Plant:\n-\tBiomass (root, bulb, shoot): Dry biomass weighed on 2-decimal scale. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tHeight: Measured using measuring tape. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tLeaf chlorophyll content: Recorded using a SPAD meter. Data recorded in paper notebook, transferred to Excel, exported as csv.\n-\tC, N, P, K, S concentration: Measured using CN analyser and TXRF spectroscopy. Data exported as Excel file, exported as csv.\n-\t15N retention: Measured using CN analyser. Data exported as Excel file, exported as csv.\nSoil:\n-\tpH and electrical conductivity: Measured using standard electrodes in a 1:2.5 soil:distilled water solution. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tNutrients (ammonium, nitrate, phosphate, DOC): Measured using colorimetric methods on a 1:5 soil: 0.5 M K2SO4 (NH4, NO3) or 0.5M acetic acid (PO4) extracts. DOC determined using TOC analyser on a 1:5 0.5M K2SO4 extract. Data exported as Excel files, exported as csv.\n-\tCumulative N2O emissions: Data analysed using gas chromatography, exported as Excel file, exported as csv.\n-\tCumulative 14CO2 respiration: Analysed using scintillation counter, data exported as Excel file, exported as csv.\n-\tC, N, P, K, S concentration: Measured using CN analyser and TXRF spectroscopy. Data exported as Excel file, exported as csv.\n-\t15N retention: Measured using CN analyser. Data exported as Excel file, exported as csv.\nPlastic:\n-\tFTIR spectra: Measured using ATR-FTIR spectroscopy. Data exported as csv.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-06-29T16:36:29.000Z","orcid":["https://orcid.org/0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2d4f068-e6bb-4613-8c43-e96b0aae25e8","10.5285/c2d4f068-e6bb-4613-8c43-e96b0aae25e8","doi:10.5285/c2d4f068-e6bb-4613-8c43-e96b0aae25e8"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises observations from treatments comparing conventional (LDPE) and biodegradable (PLA/PBAT) plastic mulch films in both new and field-weathered conditions. The dataset was generated from a controlled mesocosm experiment designed by researchers to…","state":"published","title":"Soil and plant properties in a mesocosm experiment exposed to both new and aged plastic mulch film","topic":["0/Agriculture/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Newcastle University","University of Hull","University of Leeds","University of Exeter","University of Cagliari","The University of Queensland","Liverpool John Moores University","University of Glasgow","University of Manchester","UK Centre for Ecology & Hydrology","University of Plymouth"],"authorFamilyName":["Jarvis","Gandy","Mayes","Riley","Burke","Hudson-Edwards","Crane","Onnis","Jennings","Byrne","MacDonald","Amezaga","Lewis","Spears","Olszewska","Malcolm","Comber","Lofts"],"authorFullName":["Jarvis, A.","Gandy, C.","Mayes, W.","Riley, A.","Burke, I.","Hudson-Edwards, K.","Crane, R.","Onnis, P.","Jennings, E.","Byrne, P.","MacDonald, J.","Amezaga, J.","Lewis, E.","Spears, B.","Olszewska, J.","Malcolm, H.","Comber, S.","Lofts, S."],"authorGivenName":["A.","C.","W.","I.","K.","R.","P.","E.","J.","B.","H.","S."],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/03yghzc09","https://ror.org/003109y17","https://ror.org/00rqy9422","https://ror.org/04zfme737","https://ror.org/00vtgdb53","https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/008n7pv89"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the results of British Standard leaching tests (BS EN 12457-2:2002) in which deionised water or seawater were mixed with different types of waste, under standardised conditions. The results are for concentrations of metals (in units of mg/kg) and other constituents in the leachates. The wastes used in the leaching test were all legacy wastes (i.e. from facilities or industries no longer operational) of different types: coal and metal mining, municipal waste (landfill), smelting and steel slag wastes. In all cases the wastes were sampled from the coastal zone of the UK, defined as being within 500 metres of the current UK coastline. The wastes were collected between 2020 and 2024. In some cases wastes were collected from different locations within the same site, in others triplicate samples were collected from the same location at the same site, and for one site samples were collected in three successive years.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Gandy","Mayes","Riley","Burke","Hudson-Edwards","Crane","Onnis","Jennings","Byrne","MacDonald","Amezaga","Lewis","Spears","Olszewska","Malcolm","Comber","Lofts"],"fullName":["Adam Jarvis","Jarvis, A.","Gandy, C.","Mayes, W.","Riley, A.","Burke, I.","Hudson-Edwards, K.","Crane, R.","Onnis, P.","Jennings, E.","Byrne, P.","MacDonald, J.","Amezaga, J.","Lewis, E.","Spears, B.","Olszewska, J.","Malcolm, H.","Comber, S.","Lofts, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","W.","I.","K.","R.","P.","E.","J.","B.","H.","S."],"grant":["NE/T003286/1","NE/T003022/1","NE/T002824/1","NE/T003200/1"],"identifier":"843ebced-e75c-4963-9d0a-363c9d20ee15","incomingCitationCount":0,"keyword":["Environmental survey","Environmental risk","coast","leaching","legacy wastes","metals","pollution","water quality"],"keywordsOther":["coast","leaching","legacy wastes","metals","pollution","water quality"],"keywordsTheme":["Environmental survey","Environmental risk"],"licence":"Open government licence","lineage":"Each waste sample comprised five sub-samples of approximately 500 g, collected from an approximately 5 - 10 m2 area of waste at the location within the site. Sub-samples were collected in plastic bags using a plastic trowel. In the lab, sub-samples were combined to form a composite, which was then mixed (coned and quartered) before sub-sampling for analysis. Sample preparation and analysis from that point forwards followed the methodology of a British Standard leaching test (British Standards Institution (BSI) (2002) BS EN 12457-2:2002 Characterisation of waste - leaching - compliance test for leaching of granular waste materials and sludges - Part 2: One part batch test at a liquid to solid ratio of 10 L / kg for materials with particle size below 4 mm (without or with size reduction) (British Standards Institution, London).\nAnalysis of leachates following 24 hours of end-over-end mixing of the waste sample with either deionised water or seawater was completed using the following equipment:\n\n- A pre-calibrated Myron L 6P Ultrameter: Temperature, pH, Eh, Conductivity\n- Agilent 5800 Series ICP-OES and / or Agilent 7700 Series ICP-MS: Metals concentrations\n- Thermo Scientific Dionex Integrion Ion Chromatograph: Anions (sulphate and chloride)\n\nBoth total and filtered concentrations are reported for most constituents. In all cases filtering of leachate was through a 0.45 um cellulose nitrate filter (prior to acidification with 2% v/v concentrated nitric acid in the case of samples for metals analysis). Concentrations of constituents, reported in mg/kg, were converted from units of mg/L as detailed in BSI (2002).","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T16:58:50.000Z","organisation":["Newcastle University","University of Hull","University of Leeds","University of Exeter","University of Cagliari","The University of Queensland","Liverpool John Moores University","University of Glasgow","University of Manchester","UK Centre for Ecology & Hydrology","University of Plymouth","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/843ebced-e75c-4963-9d0a-363c9d20ee15","10.5285/843ebced-e75c-4963-9d0a-363c9d20ee15","doi:10.5285/843ebced-e75c-4963-9d0a-363c9d20ee15"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/03yghzc09","https://ror.org/003109y17","https://ror.org/00rqy9422","https://ror.org/04zfme737","https://ror.org/00vtgdb53","https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/008n7pv89","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the results of British Standard leaching tests (BS EN 12457-2:2002) in which deionised water or seawater were mixed with different types of waste, under standardised conditions. The results are for concentrations of metals (in units of mg/kg) and…","state":"published","title":"Constituent concentrations of leachates from standardised leaching tests using deionised water and seawater in contact with legacy waste materials collected from coastal areas of the UK between 2020 and 2024","topic":["0/Environmental survey/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"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."],"authorGivenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"authorOrcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-6526-589X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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","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."],"funder":["Natural Environment Research Council"],"givenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"grant":["NE/R016429/1"],"identifier":"703af27b-ce8c-44e0-ac20-b46e391a64ef","incomingCitationCount":0,"keyword":["Thames Catchment","Southeast England","Environmental risk","Water quality","water quality","chemistry","Nutrients","river pollution"],"keywordsOther":["water quality","chemistry","Nutrients","river pollution"],"keywordsPlace":["Thames Catchment","Southeast England"],"keywordsTheme":["Environmental risk","Water quality"],"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))"],"metadataDate":"2026-06-29T16:31:24.000Z","observedPropertyValue":["Date","Site_name","Time","Sample_ID","Water_Temperature (oC)","Soluble_reactive_phosphorus_(µg P/L)","Total_dissolved_phosphorus_(µg _P/L)","Lab_pH","Total_phosphorus_(µg P/L)","Gran_alkalinity_µeq/L","Suspended_solids_mg/L","Dissolved_ammonium_(mg NH4/l)","Dissolved_silicon_(mg_Si/L) ","Chlorophyll-a_(µg/L)","Dissolved_fluoride_(mg_F/L)","Dissolved_chloride_(mg_Cl/L)","Dissolved_nitrite_(mg_NO2/L)","Dissolved_nitrate_(mg_NO3/L)","Dissolved_sulphate_(mg_SO4/L)","Total_dissolved_nitrogen_(mg_N/L)","Dissolved_organic_carbon_(mg/L)","Field_pH ","Conductivity_(µS/cm)","Redox_potential_(mV)","Dissolved_oxygen_(%_saturation)","Dissolved_oxygen_(mg/L)","Dissolved_Al_(mg/L)","Dissolved_B_(µg/L)","Dissolved_Ca_(mg/L)","Dissolved_Fe_(µg/L)","Dissolved_K_(mg/L)","Dissolved_Mg_(mg/L)","Dissolved_Na_(mg/L)","Dissolved_P_(mg/L)","Dissolved_S_(mg/L)","Dissolved_Si_(mg/L)","Dissolved_Mn_(µg/L)","Dissolved_Zn_(µg/L)","Dissolved_Cu_(µg/L)","Total_Na_(mg/L)","Total_Ca_(mg/L)","Total_Mg_(mg/L)","Total_B_(µg/L)","Total_Fe_(µg/L)","Total_Mn_(µg/L)","Total_Zn_(µg/L)","Total_Cu_(µg/L)","Total_Al_(µg/L)"],"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"],"publicationDate":"2025-05-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/703af27b-ce8c-44e0-ac20-b46e391a64ef","10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef","doi:10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"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,…","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"]},{"authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorGivenName":["L.","J.","K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"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","familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"funder":["Natural Environment Research Council"],"givenName":["L.","J.","K.N."],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsOther":["flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","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))"],"metadataDate":"2026-06-29T18:12:21.000Z","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"],"publicationDate":"2022-10-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60","doi:10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"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…","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"]},{"authorAffiliation":["Universidad de Extremadura"],"authorFamilyName":["Guillen","Gómez Polo","Baeza","Ontalba"],"authorFullName":["Guillen, J.","Gómez Polo, F.M.","Baeza, A.","Ontalba, M.A."],"authorGivenName":["J.","F.M.","A.","M.A."],"authorOrcid":["https://orcid.org/0000-0003-4351-9286","https://orcid.org/0000-0002-4927-194X","https://orcid.org/0000-0002-2648-2867","https://orcid.org/0000-0002-9677-4777"],"authorRor":["https://ror.org/0174shg90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise  of radionuclide and stable element concentrations in vegetal and animal food and feedstuffs, and their corresponding transfer coefficients and concentration ratios determined in Mediterranean ecosystems in Spain.  The considered foodstuff groups are: cereals, grapevine (including wine), olive tree (including olive oil), lamb, beef, pork, and dairy products from sheep, goat and cow.\n\nThe data include: elemental and radioactive concentration in soil, plants, food and feedstuffs; dry to fresh ratios for foodstuffs; animal feeding diet; estimation of overall elemental and radioactive diet concentration; transfer coefficients for vegetal foodstuffs (relating dry matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in soil); and concentration ratios for animal foodstuffs (relating fresh matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in feedstuff).\n\nRadionuclide concentrations presented include Ra-226, Cs-137, Ra-228 and K-40. Elemental concentrations presented include Cs, Sr, K, Na, Ca, Mg, P, Pb, U and Th. ","documentType":"GEMINI_DOCUMENT","familyName":["Guillen","Gómez Polo","Baeza","Ontalba"],"fullName":["Guillen, J.","Gómez Polo, F.M.","Baeza, A.","Ontalba, M.A."],"givenName":["J.","F.M.","A.","M.A.","Javier"],"identifier":"48d5395e-e9fb-45ed-b69f-1ea0d2d36be6","incomingCitationCount":0,"keyword":["Radioecology","caesium","strontium","calcium","potassium","sodium","radionuclide","phosphorus","lead","magnesium","uranium","thorium","animal foodstuff"],"keywordsOther":["caesium","strontium","calcium","potassium","sodium","radionuclide","phosphorus","lead","magnesium","uranium","thorium","animal foodstuff"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Radionuclide concentrations presented include Ra-226, Cs-137, Ra-228 and K-40. These concentrations were determined by gamma spectrometry. Elemental concentrations presented include Cs, Sr, K, Na, Ca, Mg, P, Pb, U and Th. These concentrations were determined by ICP-MS. For further information about material and methods see supporting information.","locations":["POLYGON((-9.438 35.834, -9.438 43.881, 3.57 43.881, 3.57 35.834, -9.438 35.834))"],"metadataDate":"2026-06-29T17:24:07.000Z","orcid":["https://orcid.org/0000-0003-4351-9286","https://orcid.org/0000-0002-4927-194X","https://orcid.org/0000-0002-2648-2867","https://orcid.org/0000-0002-9677-4777"],"organisation":["Universidad de Extremadura","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6","10.5285/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6","doi:10.5285/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6"],"resourceType":"Dataset","ror":["https://ror.org/0174shg90","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise  of radionuclide and stable element concentrations in vegetal and animal food and feedstuffs, and their corresponding transfer coefficients and concentration ratios determined in Mediterranean ecosystems in Spain.  The considered foodstuff groups are:…","state":"published","title":"Transfer parameters for radionuclides and radiologically significant stable elements to foodstuffs in Spain","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Portsmouth"],"authorFamilyName":["Lerebours","Smith"],"authorFullName":["Lerebours, A.","Smith, J.T."],"authorGivenName":["A.","J.T."],"authorRor":["https://ror.org/03ykbk197"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data set presents results from fish biometry field work within four lakes in Japan (Suzuuchi, Funazawa, Kashiramori, Abakuma). Data comprise sampling location, fish species, sex, length, weight (total fish, gonad and liver weight). Fish were sampled during May 2017; target species included crucian carp, common carp and smallmouth bass. For the health and reproductive status assessment, fish of similar weight and total length were collected. Gill nets (20 m length and 21 mm mesh size) were employed to ensure capture of homogeneous groups of mature fish. \nThe work described here was conducted under the TREE project (http://tree.ceh.ac.uk/) funded by the Natural Environment Research Council, Environment Agency and Radioactive Waste Management Ltd. ","documentType":"GEMINI_DOCUMENT","familyName":["Lerebours","Smith","Guler"],"fullName":["Lerebours, A.","Smith, J.T.","Guler, Y."],"funder":["Natural Environment Research Council"],"givenName":["A.","J.T.","Yasmin"],"identifier":"07347484-5d35-4335-bdbe-ac9d7b33c84f","incomingCitationCount":0,"keyword":["Environmental survey","Radioecology","Carp","Fukushima","Japan"],"keywordsOther":["Carp","Fukushima","Japan"],"keywordsTheme":["Environmental survey","Radioecology"],"licence":"Open government licence","lineage":"Fish were carefully removed from the nets and kept alive into tanks containing aerated water. Fish fell unconscious by a blow to the head and were then killed by performing a concussion of the brain to limit as much as possible the suffering as recommended by the UK Home Office procedure (Animals Scientific Procedures Act, 198618). Scales were sampled for age determination. Body weight, total length, and gonadal weight recorded for each fish. The gonads were dissected, weighted, fixed in buffered formalin solution for 24h and preserved in ethanol for later study. \nFile uploaded is of the biometry data retrieved from the field work.\n","locations":["POLYGON((140.3 37.4, 140.3 37.569, 141.122 37.569, 141.122 37.4, 140.3 37.4))"],"metadataDate":"2026-06-29T16:28:13.000Z","organisation":["University of Portsmouth","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07347484-5d35-4335-bdbe-ac9d7b33c84f","10.5285/07347484-5d35-4335-bdbe-ac9d7b33c84f","doi:10.5285/07347484-5d35-4335-bdbe-ac9d7b33c84f"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/04xw4m193"],"shortenedDescription":"Data set presents results from fish biometry field work within four lakes in Japan (Suzuuchi, Funazawa, Kashiramori, Abakuma). Data comprise sampling location, fish species, sex, length, weight (total fish, gonad and liver weight). Fish were sampled during May 2017;…","state":"published","title":"Impact of environmental radiation on the health and reproductive status of fish from Japan, 2017","topic":["0/Environmental survey/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Salford","Centre for Ecology & Hydrology","Chornobyl Center for Nuclear Safety, Radioactive Waste and Radioecology"],"authorFamilyName":["Kendrick","Barçante","Beresford","Gashchak","Wood"],"authorFullName":["Kendrick, P.","Barçante, L.","Beresford, N.A.","Gashchak, S.","Wood, M.D."],"authorGivenName":["P.","L.","N.A.","S.","M.D."],"authorOrcid":["https://orcid.org/0000-0002-0714-183X","https://orcid.org/0000-0002-7462-7899","https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-7582-6742","https://orcid.org/0000-0002-0635-2387"],"authorRor":["https://ror.org/01tmqtf75","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Waveform audio file (.wav)"],"description":"Data comprise audio files captured using a Wildlife Acoustics SM3 Songmeter located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens) in the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine. A single continuous recording of twelve hours of audio from midday until midnight on the 25th June 2015 was manually annotated by an expert (using Raven Pro interactive sound analysis software). The dataset comprises the resultant five wave files (stereo .wav sampled at 48 kHz) and five annotation files (text files with the same name as the associated wave file). ","documentType":"GEMINI_DOCUMENT","familyName":["Kendrick","Barçante","Beresford","Gashchak","Wood"],"fullName":["Kendrick, P.","Barçante, L.","Beresford, N.A.","Gashchak, S.","Wood, M.D."],"funder":["Natural Environment Research Council"],"givenName":["Paul","P.","L.","N.A.","S.","M.D."],"grant":["NE/L000393/1"],"identifier":"be5639e9-75e9-4aa3-afdd-65ba80352591","incomingCitationCount":0,"keyword":["Chernobyl Exclusion Zone","Ukraine","Chornobyl","Radioecology","birdsong","TREE","TRansfer - Exposure - Effects","COMET"],"keywordsOther":["birdsong","TREE","TRansfer - Exposure - Effects","COMET"],"keywordsPlace":["Chernobyl Exclusion Zone","Ukraine","Chornobyl"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Audio was captured from the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine; 51,382269, 29,924879 (WGS84).  A single Wildlife Acoustics SM3 Songmeter was located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens). A single continuous recording of 12 hours of audio was made using the SM3's built-in microphones on 25/06/2015 from midday until midnight. The audio was manually annotated by a single expert using Raven Pro. Files are stereo, wav files sampled at 48 kHz.  Five wav files are included and tags are stored in five text files with the same name as the associated wave file. Annotations are only made on channel one.","locations":["POLYGON((29.891 51.229, 29.891 51.399, 30.293 51.399, 30.293 51.229, 29.891 51.229))"],"metadataDate":"2026-06-29T17:01:40.000Z","orcid":["https://orcid.org/0000-0002-0714-183X","https://orcid.org/0000-0002-7462-7899","https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-7582-6742","https://orcid.org/0000-0002-0635-2387"],"organisation":["University of Salford","Centre for Ecology & Hydrology","Chornobyl Center for Nuclear Safety, Radioactive Waste and Radioecology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/be5639e9-75e9-4aa3-afdd-65ba80352591","10.5285/be5639e9-75e9-4aa3-afdd-65ba80352591","doi:10.5285/be5639e9-75e9-4aa3-afdd-65ba80352591"],"resourceType":"Dataset","rightsHolder":["University of Salford"],"ror":["https://ror.org/01tmqtf75","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise audio files captured using a Wildlife Acoustics SM3 Songmeter located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens) in the abandoned village of Buryakovka in the Chernobyl…","state":"published","supplementalName":["TREE website"],"title":"Bird Vocalisation Activity (BiVA) database: annotated soundscapes from the Chernobyl Exclusion Zone","topic":["0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hewitt"],"authorFullName":["Hewitt, D."],"authorGivenName":["D."],"authorOrcid":["https://orcid.org/0000-0001-8297-0294"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). A strong interaction was found in root biomass and root nodule biomass in cut white clover plants in a high ozone background (45-67 parts per billion (ppb) treatment mean), suggesting ozone-impacts on root nodule biomass occur through limitation of carbon availability. The work was carried out as part of a NERC funded PhD.","documentType":"GEMINI_DOCUMENT","familyName":["Mills","Hewitt"],"fullName":["Mills, G.","Hewitt, D."],"givenName":["Gina","D."],"identifier":"10c6df00-c7ef-444b-951f-33a2c0072bec","incomingCitationCount":0,"keyword":["Abergwyngregyn","Environmental risk","Pollution","Trifolium repens","Jasmonic acid"],"keywordsOther":["Trifolium repens","Jasmonic acid"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"A short-term (four-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). Seedlings were propagated in early Spring 2014. After three weeks, to introduce a soil microbe, pots were inoculated with a soil slurry mixture. Pots were then divided between 3 treatments: uncut pots (controls), with a single cut to four centimetre (cm)m height immediately prior to ozone exposure and uncut, with a weekly application of Methyl-Jasmonate solution during the experiment. The seedlings were grown on for four weeks then exposed to random ozone profiles for four weeks. \nA representative quarter of each pot was selected and recordings of healthy, injured or senesced leaves made on in weeks 2, 3 and 4. The harvest of above and below-ground biomass was performed after four weeks on each pot. Shoot biomass, and root biomass from a representative quarter of the pot, were dried for a minimum of 48 hours at 60 degrees Celsius. Root nodule biomass was also excised from the root system, and was air dried, sized and weighed. Root biomass, nodule mass and nodule numbers per pot were calculated. Leaf area index (LAI) of undamaged leaves was determined from dried forage. Mean injury and senescence data across the recordings was determined for each pot, and was arcsine transformed prior to analysis. Injury and senescence data, and selected biomass data, were then analysed by analysis of variance (ANOVA), with ozone background and treatment applied as factors. \n\nPost-hoc Tukey's honest significant difference tests were used to determine the significance of factors where appropriate. Relationships between total root nodule biomass and biomass, and raw injury parameters for each treatment were also investigated via Pearson's correlation analysis. All analyses were conducted in R Software (version 3.1.2).  \n\nData was first recorded in the field in field notebooks, and was then transferred to electronic copies (MS Excel worksheets). Data was then exported as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-06-29T17:08:44.000Z","orcid":["https://orcid.org/0000-0001-8297-0294"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/10c6df00-c7ef-444b-951f-33a2c0072bec","10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec","doi:10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014…","state":"published","title":"Influence of Jasmonic acid on the response of pasture to ozone","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Noguera","Bulut","Chevuturi","Barker","Hannaford"],"authorFullName":["Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"authorGivenName":["I","B","A","L.J","J"],"authorOrcid":["https://orcid.org/0000-0002-0696-9504","https://orcid.org/0000-0003-4567-5258","https://orcid.org/0000-0003-2815-7221","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Standardized Evapotranspiration Deficit Index (SEDI), and the Standardized Vapor Pressure Deficit Index (SVPDI). This dataset is available on a global scale covering 1-12, 18, 24, 48-month time scales for the period 1980 to 2024, with high spatial (0.1 degrees) and temporal (weekly and monthly) resolution. GMID was generated using different meteorological input datasets, including: Multi-Source Weighted-Ensemble Precipitation (MSWEP) v2.8 (https://www.gloh2o.org/mswep/), Global Land Evaporation Amsterdam Model (GLEAM) v4.2a (https://www.gleam.eu/), and Multi-Source Weather (MSWX) vMSWX-Past (https://www.gloh2o.org/mswx/).\n\nThe GMID dataset is provided weekly and monthly, including two versions of the five drought indices: one generated using the \"reference\" approach (i.e., based on the probability distribution typically recommended in the literature for calculating these drought indices), and another using the \"best-fit\" approach (i.e., based on the probability distributions that provide better normalised resulting series for each case). GMID represents a comprehensive and robust global long-term dataset for drought (and flash drought) assessment, which will be further updated annually as input data become available.","documentType":"GEMINI_DOCUMENT","familyName":["Noguera","Bulut","Chevuturi","Barker","Hannaford"],"fullName":["Ivan Noguera","Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"funder":["Natural Environment Research Council"],"givenName":["I","B","A","L.J","J"],"grant":["NE/X006247/1"],"identifier":"f5ce92b0-03e8-4719-82ff-c62e6ebe927b","incomingCitationCount":0,"keyword":["Climate and climate change","Hydrology","Agriculture","Environmental risk","drought","flash drought","Standardized Precipitation Index (SPI)","Evaporative Drought Demand Index (EDDI)","Standardized Precipitation Evapotranspiration Index (SPEI)","Standardized Evapotranspiration Deficit Index (SEDI)","Standardized Vapor Pressure Deficit Index (SVPDI)","standardized drought indices","multiscalar"],"keywordsOther":["drought","flash drought","Standardized Precipitation Index (SPI)","Evaporative Drought Demand Index (EDDI)","Standardized Precipitation Evapotranspiration Index (SPEI)","Standardized Evapotranspiration Deficit Index (SEDI)","Standardized Vapor Pressure Deficit Index (SVPDI)","standardized drought indices","multiscalar"],"keywordsTheme":["Climate and climate change","Hydrology","Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"The drought indices were obtained by the standardization of different meteorological variables: precipitation, potential evapotranspiration, climatic water balance, evapotranspiration deficit and vapor pressure deficit.\n\nTwo different methods (\"reference\" and \"best-fit\" approach) were employed to standardize the variables. Reference version of the indices was calculated the probability distribution recommended by previous studies that explored the suitability of different probability distributions to calculate each drought index. By contrast, Best-fit version of the indices was calculated based on the probability distributions that provide better normalised resulting series for each case according to Shapiro-Wilks test.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:26:08.000Z","orcid":["https://orcid.org/0000-0002-0696-9504","https://orcid.org/0000-0003-4567-5258","https://orcid.org/0000-0003-2815-7221","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","doi:10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation…","state":"published","supplementalDescription":["Wang, X., Alharbi, R. S., Baez-Villanueva, O. M., Green, A., McCabe, M. F., Wada, Y., Van Dijk, A. I. J. M.,\nAbid, M. A., & Beck, H. E., (2025). Saudi Rainfall (SaRa): Hourly 0.1° Gridded Rainfall (1979-Present)\nfor Saudi Arabia via Machine Learning Fusion of Satellite and Model Data. Hydrology and Earth\nSystem Sciences 29, 4983-5003.","Miralles, D.G., Bonte, O., Koppa, A., Baez-Villanueva, O.M., Tronquo, E., Zhong, F., Beck, H.E., Hulsman, P., Dorigo, W.A., Verhoest, N.E.C., Haghdoost, S.,  GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present, Scientific Data, 12, 416, 2025","Beck, H. E., van Dijk, A. I. J. M., Larraondo, P. R., McVicar, T. R., Pan, M., Dutra, E., and Miralles, D. G., MSWX: global 3‑hourly 0.1° bias-corrected meteorological data including near real-time updates and forecast ensembles. Bulletin of the American Meteorological Society 103, E710-E732."],"title":"High-resolution Global Multi-Index Drought (GMID) dataset, 1980-2024","topic":["0/Climate and climate change/","0/Hydrology/","0/Agriculture/","0/Environmental risk/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["https://orcid.org/0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material property data. Below ground films were either in fine or coarse mesh bags (filled with 20g soil and 5x5 cm plastic piece) to allow only microfauna or micro-, meso-, and macrofauna interaction. The aim of this experiment was to identify the degradation rates of mulch films under UK weather conditions, their microplastic generation rates, and their effect on soil properties and microbial communities (microbial data has been deposited with NCBI: PRJNA1229197). The details can be found in the lineage field and the supporting document.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["M.","Martine","David R","Davey L"],"grant":["NE/V005871/1"],"identifier":"76322cd6-a420-42e1-9495-5ed929b1c289","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Soil","chemical degradation","mulch","plastic","soil","soil biodiversity"],"keywordsOther":["chemical degradation","mulch","plastic","soil","soil biodiversity"],"keywordsTheme":["Agriculture","Environmental risk","Soil"],"licence":"Open government licence","lineage":"Plastic:\n-\tFilm thickness: Measured with a thickness gauge. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tFilm surface roughness: Measured with a surface roughness tester. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tChemical spectra (FTIR): Data was recorded using Cary 630 (Agilent) ATR-FTIR, exported as individual spectra csv files. Data was then combined for each plastic type.\n\nSoil:\n-\tMoisture at 5 cm depth: Data was recorded using TDT-12 Acclima sensors buried at 10 cm soil depth. Data was recorded on datasnaps, exported as Excel file, then exported as csv file.\n-\tTemperature at 5 cm depth: Data was recorded using TDT-12 Acclima sensors buried at 10 cm soil depth. Data was recorded on datasnaps, exported as Excel file, then exported as csv file.\n-\tSurface temperature: Data was recorded using iButtons placed on the soil surface. Data was exported as csv file.\n-\tMicroplastic concentration: Samples were analysed using 8700 LDIR chemical imaging. Data was exported as Excel files, then exported as csv files.\n-\tpH and electrical conductivity: Soil was analysed in a 1:2.5 soil:distilled water solution using standard electrodes. Data recorded in paper notebook, then transferred to Excel file. Excel file exported as csv file.\n-\tNutrients (ammonium, nitrate, phosphate, DOC): Soil was analysed in a 1:5 soil:0.5 M K2SO4 solution using colorimetric analysis for ammonium and nitrate, and a TOC analyser for DOC. Data was exported as Excel files from respective instruments, then exported as csv file.\n\nEnvironmental data:\n-\tAir temperature: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tPrecipitation: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tWind speed: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tSolar radiation: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-06-29T16:46:04.000Z","orcid":["https://orcid.org/0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/76322cd6-a420-42e1-9495-5ed929b1c289","10.5285/76322cd6-a420-42e1-9495-5ed929b1c289","doi:10.5285/76322cd6-a420-42e1-9495-5ed929b1c289"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material…","state":"published","title":"Degradation and microplastic generation, with associated soil properties and microbial communities, of mulch films exposed above and below ground over 12 months, North Wales, UK","topic":["0/Agriculture/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Izquierdo","Bailey","Crout","Sanders","Young","Shaw"],"authorFullName":["Izquierdo, M.","Bailey, E.","Crout, N.","Sanders, H.","Young, S.","Shaw, S."],"authorGivenName":["M.","E.","N. ","H. ","S.","Shaw"],"authorOrcid":["https://orcid.org/0000-0002-2283-7202","https://orcid.org/0000-0002-5266-3792","https://orcid.org/0000-0001-7394-5070","https://orcid.org/0000-0002-3371-7185","https://orcid.org/0000-0003-2282-963X"],"authorRor":["https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days.\n\nThe long term behaviour of 99Tc in aerobic soils was studied by conducting a laboratory-based experiment in which a set of 20 topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with 99TcO4- and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 2.5 yr. The physico-chemical transformations of 99Tc in each soil microcosm were periodically monitored by means of a three-step sequential extraction procedure conducted on subsamples of incubated soil. \n\nThe resulting dataset enabled quantification of the kinetics of 99Tc transformation in aerobic soils as a function of soil properties and land uses (arable, grassland and moorland/woodland). The data will be useful in developing models of long-term 99Tc bioavailability in aerobic soils under temperate conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Izquierdo","Bailey","Crout","Sanders","Young","Shaw","George"],"fullName":["Izquierdo, M.","Bailey, E.","Crout, N.","Sanders, H.","Young, S.","Shaw, S.","George, S."],"funder":["Natural Environment Research Council"],"givenName":["M.","E.","N. ","H. ","S.","Shaw"],"identifier":"4622f906-e28a-4210-aa03-d2e4169b1be8","incomingCitationCount":0,"keyword":["Chernobyl","Soil","Radioecology","Incubation","Aerobic soils","Technetium","aerobic condition","soil"],"keywordsOther":["Incubation","Aerobic soils","Technetium","aerobic condition","soil"],"keywordsPlace":["Chernobyl"],"keywordsTheme":["Soil","Radioecology"],"licence":"Open government licence","lineage":"At each sampling time, a portion of ca. 4 g soil from each microcosm was subjected to a three-step sequential extraction procedure devised to quantify (i) the ‘soluble’ 99Tc, which was extracted with 0.01 M KNO3; (ii) the ‘specifically adsorbed’ 99Tc, extracted with 0.16 M KH2PO4; and (iii) the ‘organically bound’ 99Tc associated with humic and fulvic acids, dissolved with 10% tetra methyl ammonium hydroxide (TMAH) solution. Soil extracts were analysed using a Thermo Fisher Scientific iCAP-Q ICP-MS operating with a collision cell using He with kinetic energy discrimination. The Radioactive Standard NIST SRM 4288B (31.55 kBq g-1 of 99TcO4- in 0.001M KOH) was used for calibration. ","locations":["POLYGON((-1.6600000000000001 52.4, -1.6600000000000001 53.017, -0.66 53.017, -0.66 52.4, -1.6600000000000001 52.4))"],"metadataDate":"2026-06-27T18:48:17.000Z","orcid":["https://orcid.org/0000-0002-2283-7202","https://orcid.org/0000-0002-5266-3792","https://orcid.org/0000-0001-7394-5070","https://orcid.org/0000-0002-3371-7185","https://orcid.org/0000-0003-2282-963X"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-08-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4622f906-e28a-4210-aa03-d2e4169b1be8","10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8","doi:10.5285/4622f906-e28a-4210-aa03-d2e4169b1be8"],"resourceType":"Dataset","ror":["https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the 'soluble', 'adsorbed' and 'organically bound' 99Tc concentrations in a diverse set of soils following experimental addition of 99TcO4- and incubation in the laboratory under controlled temperature conditions for 897 days.\n\nThe long…","state":"published","title":"Technetium-99 (99Tc) transformations in aerobic soils following experimental addition of the radioactive anion 99TcO4-","topic":["0/Soil/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L.J.","K.","G.","F.","D.E.L.","R.","B.V."],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset maps the potential vulnerability to Phytophthora pinifolia infection for 82 core fragments of the Caledonian Pinewood Inventory (CPI) in Scotland. Fragment risk scores integrate climate suitability for pathogen growth, proximity to other pine fragments and inspected premises and recent planting under forestry grant schemes. Data and models used to assess risks are variable in their time frames, but are broadly representative of the period from 2013 to 2023. The risk maps for Caledonian Pine assess the vulnerability of CPI fragments, if P. pinifolia were to arrive, and the most probable areas of introduction and establishment. P. pinifolia has not been detected in the UK but is on the UK Plant Health Risk Register. All known host species are within the genus Pinus, either recorded as naturally occurring disease affecting the shoots and needles of Pinus radiata, or established through pathogenicity trials on other species within the genus, albeit with varying levels of susceptibility. The only known source region for the pathogen is Chile. P. pinifolia has been ranked 8th among Phytophthora species mostly likely to arrive among the 109 Phytophthora species assessed, with this higher risk predominantly driven by the model component describing climatic similarity between forest, agricultural and urban habitats in Chile and the UK. A Rapid Pest Risk Analysis for P. pinifolia considered it unlikely to enter the UK due to restrictions on import of living pine species from non-EU countries, though transport may still be possible with other, unknown, hosts.","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council"],"givenName":["L.J.","K.","G.","F.","D.E.L.","R.","B.V."],"grant":["NE/V019813/1"],"identifier":"ddee75ae-2ad0-4d16-81a9-20928d89e872","incomingCitationCount":1,"keyword":["Scotland","Environmental risk","exotic species","forest pest","forestry","habitat","pathogenic organism","phytopathology","risk assessment"],"keywordsOther":["exotic species","forest pest","forestry","habitat","pathogenic organism","phytopathology","risk assessment"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland's plant health sector including forestry, conservation, horticulture, and government agencies. Risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. Overall risk scores integrate climate suitability (using pathogen-specific temperature-dependent growth curves and relative humidity thresholds), with proximity to other pine fragments, inspected premises and planting under forestry grant schemes. As agreed in the first workshop, climate suitability was given the greatest weight in the scoring of the risk factors. Due to the absence of any P. pinifolia detections in the UK, the spatial risk frameworks exclude proximity to infected areas. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of pathogen-specific climate suitability models has been attempted for other Phytophthora species using independent UK and European detections, but is not possible for P. pinifolia as the pathogen has not been detected in Europe.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:26:41.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ddee75ae-2ad0-4d16-81a9-20928d89e872","10.5285/ddee75ae-2ad0-4d16-81a9-20928d89e872","doi:10.5285/ddee75ae-2ad0-4d16-81a9-20928d89e872"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset maps the potential vulnerability to Phytophthora pinifolia infection for 82 core fragments of the Caledonian Pinewood Inventory (CPI) in Scotland. Fragment risk scores integrate climate suitability for pathogen growth, proximity to other pine fragments…","state":"published","title":"Spatial risk analysis for Phytophthora pinifolia infection of Caledonian Pinewood Inventory fragments in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Pondicherry University","Indian Institute of Technology BHU","Aarupadai Veedu Medical College & Hospital","Imperial College London"],"authorFamilyName":["RU","Suseela","Patharaj","Kumaresan","Pan","Vieira","Sriskandan","Freeman","Giakoumis","Voulvoulis","Selvin","Ragunathan","Muthu"],"authorFullName":["RU, V.P.N.","Suseela, M.N.L.","Patharaj, G.","Kumaresan, T.N.","Pan, S.","Vieira, A.","Sriskandan, S.","Freeman, A.","Giakoumis, T.","Voulvoulis, N.","Selvin, J.","Ragunathan, L.","Muthu, M.S."],"authorGivenName":["Vishnu Prasad Nair","Medapati Nikitha Lakshmi","Gokul","T.N","Sayaree","Ana","Shiranee","Anna","Theodoros","Nick","Jospeh","Latha","M.S"],"authorRor":["https://ror.org/01a3mef16","https://ror.org/01kh5gc44","https://ror.org/02jz4rx70","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets contain information about the physicochemical properties of water samples taken from Pondicherry and Chennai in 2023 and 2024. Water samples were collected from river, lake, canal and tank water bodies in Pondicherry and Chennai, with locations selected due to their proximity to antimicrobial manufacturing sites. The physicochemical properties of each sample were analysed to determine water quality at each site and how this may be impacted by local antimicrobial pollution. Variables such as; temperature, oxidation reduction potential, salinity, pH, dissolved oxygen content, conductivity, resistivity, total dissolved solids, atmospheric pressure and seawater sigma were accounted for.","documentType":"GEMINI_DOCUMENT","familyName":["Voulvoulis","RU","Suseela","Patharaj","Kumaresan","Pan","Vieira","Sriskandan","Freeman","Giakoumis","Selvin","Ragunathan","Muthu"],"fullName":["Voulvoulis, N.","RU, V.P.N.","Suseela, M.N.L.","Patharaj, G.","Kumaresan, T.N.","Pan, S.","Vieira, A.","Sriskandan, S.","Freeman, A.","Giakoumis, T.","Selvin, J.","Ragunathan, L.","Muthu, M.S."],"funder":["Natural Environment Research Council"],"givenName":["Nick","Vishnu Prasad Nair","Medapati Nikitha Lakshmi","Gokul","T.N","Sayaree","Ana","Shiranee","Anna","Theodoros","Jospeh","Latha","M.S"],"grant":["NE/T013184/1"],"identifier":"62fe92d8-db54-4285-9617-573e77a55c4b","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental risk","Chennai","Pondicherry","Puducherry","Physicochemical","AMR","Antimicrobial resistance","India","Antimicrobial manufacturing","Antibiotic manufacturing","Pharmaceutical pollution","Pharmaceutical manufacturing waste","Water pollution"],"keywordsOther":["Chennai","Pondicherry","Puducherry","Water quality","Physicochemical","AMR","Antimicrobial resistance","India","Antimicrobial manufacturing","Antibiotic manufacturing","Pharmaceutical pollution","Pharmaceutical manufacturing waste","Water pollution"],"keywordsTheme":["Water quality","Pollution","Environmental risk"],"licence":"Open government licence","lineage":"Samples were collected following a standardized operating procedure mutually agreed upon by the collaborating partners. For water samples, collection was performed at depths ranging from 1 to 5 meters using a sterile container attached to a pulley system. Control samples were collected from upstream sites selected to represent areas unaffected by pollution from manufacturing sources.  All samples were collected in triplicates to ensure reproducibility and statistical reliability with composite samples created from three sampling points in each location. Duplicate samples were also randomly collected as part of quality control. \n\nParameters were measured in situ using a portable multiparameter Aquaprobe AP-200 with a GPS Aquameter (Aquaread AP 2000).  Initial data entries were recorded manually on paper and subsequently digitized into Excel spreadsheets. No imputation or gap-filling procedures were applied to the dataset. In cases where certain parameters exhibited readings below the detection threshold, the measurement units automatically shifted to a lower metric scale. For example, dissolved oxygen concentrations were recorded in mg/L by default but were represented in µg/L for particularly low-concentration samples. For the sake of consistency and uniformity across the dataset, all such values were converted back to the default unit of mg/L. \n\nSamples were transported to the laboratory on the same day in a refrigerated isothermal container and stored at −20 °C until analysis to preserve their integrity. Upon arrival, the samples were processed immediately for both culture-based microbiological analyses and metagenomic DNA extraction, thereby maintaining sample freshness and minimizing potential degradation. Bacterial isolates obtained from each sampling site were preserved as glycerol stocks and stored at −80°C to maintain viability for future analyses.\n\nDue to a lack of water at the site because of warm conditions, no water samples were collected from PSL10 in 2023. The levels were similarly low the following year, so this site was excluded from water and physicochemical analysis.","locations":["POLYGON((79.631 11.877, 79.631 12.692, 80.198 12.692, 80.198 11.877, 79.631 11.877))"],"metadataDate":"2026-06-29T16:20:53.000Z","organisation":["Imperial College London","Pondicherry University","Indian Institute of Technology BHU","Aarupadai Veedu Medical College & Hospital","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/62fe92d8-db54-4285-9617-573e77a55c4b","10.5285/62fe92d8-db54-4285-9617-573e77a55c4b","doi:10.5285/62fe92d8-db54-4285-9617-573e77a55c4b"],"resourceType":"Dataset","rightsHolder":["Imperial College London"],"ror":["https://ror.org/041kmwe10","https://ror.org/01a3mef16","https://ror.org/01kh5gc44","https://ror.org/02jz4rx70","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets contain information about the physicochemical properties of water samples taken from Pondicherry and Chennai in 2023 and 2024. Water samples were collected from river, lake, canal and tank water bodies in Pondicherry and Chennai, with locations selected…","state":"published","supplementalDescription":["Whole-genome sequencing of multi-drug-resistant bacteria","Metagenomic data"],"title":"Physicochemical parameters of Chennai and Pondicherry water samples near antimicrobial manufacturing sites, India, 2023-2024","topic":["0/Water quality/","0/Pollution/","0/Environmental risk/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University College London"],"authorFamilyName":["Laize","Thompson"],"authorFullName":["Laize, C.L.R.","Thompson, J.R."],"authorGivenName":["C.L.R.","J.R."],"authorOrcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8927-6462"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["R package"],"description":"This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems.\n\nAlthough the code was developed with a geographical focus on southeast Asia (example datasets are provided for the Mekong River Basin), it can be applied for any location where baseline and scenario monthly river flow time series are available.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.","documentType":"GEMINI_DOCUMENT","familyName":["Laize","Thompson"],"fullName":["Laize, C.","Laize, C.L.R.","Thompson, J.R."],"givenName":["Cedric","C.L.R.","J.R."],"identifier":"98ec8073-7ebd-44e5-aca4-ebcdefa9d044","incomingCitationCount":0,"keyword":["Environmental risk","Modelling","Flow alteration","River ecosystem","Ecological risk","Ecohydrology","Hydroecology"],"keywordsOther":["Flow alteration","River ecosystem","Ecological risk","Ecohydrology","Hydroecology"],"keywordsTheme":["Environmental risk","Modelling"],"licence":"Non-Open government licence","lineage":"This application comprises a series of R scripts and also uses the Shiny R package. It was developed using R version 3.4.2 and Shiny version 1.0.5 and has been tested up to R version 3.6.1 and Shiny version 1.3.2 on both the Windows and MacOS operating systems. At a minimum it requires the installation of R but it can also run under R Studio.","metadataDate":"2026-06-27T19:56:12.000Z","orcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8927-6462"],"organisation":["UK Centre for Ecology & Hydrology","University College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-12-17T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/98ec8073-7ebd-44e5-aca4-ebcdefa9d044","10.5285/98ec8073-7ebd-44e5-aca4-ebcdefa9d044","doi:10.5285/98ec8073-7ebd-44e5-aca4-ebcdefa9d044"],"resourceType":"Software","ror":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"shortenedDescription":"This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems.\n\nAlthough the code was developed with a geographical focus on southeast Asia…","state":"published","supplementalName":["TEFRIC Project web site"],"title":"R implementation of the Ecological Risk due to Flow Alteration (ERFA) method","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research"],"authorFamilyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"authorFullName":["Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"authorGivenName":["C.L.","C.","M. ","N.A.","L.A."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants and shrubs), fungi, earthworms, bees, wood mice, bank voles, common frogs, frogspawn and European toads were collected between March 2015 and October 2016 from two forests in north-east England. The study was conducted to target representative terrestrial species of the ICRPs Reference Animals and Plants.\n\nFunding for this work was via the TREE project funded by NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"fullName":["Barnett, C.","Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"funder":["Natural Environment Research Council","Environment Agency","Radioactive Waste Management Ltd"],"givenName":["Cath","C.L.","C.","M. ","N.A.","L.A."],"grant":["NE/L000318/1"],"identifier":"8f85c188-a915-46ac-966a-95fcb1491be6","incomingCitationCount":1,"keyword":["TREE","Radioecology","Environmental risk","Environmental survey","radionuclide","caesium"],"keywordsOther":["radionuclide","caesium"],"keywordsProject":["TREE"],"keywordsTheme":["Radioecology","Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"Data consist of stable element and radionuclide concentrations, and estimated concentration ratios for biota, soil and water collected from two forests in north-east England (March 2015 to October 2016). Samples were analysed by ICP-MS and, where sample size was sufficient, gamma analysis.\n\nSoil: pH and loss on ignition were determined.\n\nWater: Samples were filtered through Whatman 541 filter paper. \n\nWood mice: Trapping was conducted using \"Longworth\" traps. Randomly selected individuals were dissected and a beetle (Dermestes maculatus) colony was used to clean the bones of soft tissue. \n\nBank voles: Trapping was conducted as for Wood mice. Vole samples were ashed. \n\nBee species: Pan traps were placed on the ground. Bees collected were bulked by species and homogenised in an agate mortar. \n\nEarthworms: Worms were collected by digging to circa 30 cm, they were rinsed in de-ionised water and placed on damp tissue paper to allow gut evacuation. Samples were bulked by species and homogenised by agate mortar. \n\nCommon frogs and spawn: Frogs were collected by hand during darkness. Randomly selected individuals were dissected and a beetle colony used to clean bones. Spawn samples were washed in de-ionised water and freeze-dried prior to homogenisation in an agate mortar. \n\nEuropean toads: Toads were collected as for frogs. Randomly selected individuals had their gastrointestinal tract removed, the remaining carcass was washed in de-ionised water and then ashed. \n\nRoe deer: Deer were obtained via the Forestry Commission. Animals were dissected and all bone/carcass samples were cleaned by placing in a beetle colony. Tissue samples were freeze dried and homogenised using an agate mill or mortar. \n\nPine Trees: Samples were collected of small branches, needles and heartwood core (sampled using an increment borer). Samples were air dried (~20oC) and the needles and branches subsequently finely ground using an agate mill or mortar (dependent upon size); the core samples were reduced manually to ~5mm in diameter. \n\nWild grasses: Samples of both leaf and flowering stems were collected. They were air dried and finely ground (using an agate mill or mortar dependent upon sample size). \nHerbaceous plants and shrubs: Opportunistic samples were collected from a variety of species abundant at the main sampling sites and from areas where the roe deer were obtained.  Samples were air dried and finely ground (using an agate mill or mortar). \n\nFungi: Opportunistic samples of fungal fruiting bodies were collected mainly from areas where the roe deer were obtained. Samples were identified by species, oven dried (~60oC) and subsequently finely ground (~2mm) using either an agate mortar or \"coffee\" grinder depending upon sample size. Species were bulked by sampling location and, were possible, by feeding strategy. \n\nICP-MS analysis was conducted using a Thermo-Fisher Scientific iCAP-Q. Samples subjected to ashing pre-treatment had undissolved black particles in the solutions which suggests digestion was incomplete. Similarly, TMAH digestion is not able to fully digest plant material therefore variable degrees of dissolution were observed; pine tree core samples showed poor dissolution rates and therefore the iodine concentrations reported may be underestimated. Digestion of replicates, reference materials and blanks were undertaken to check accuracy and precision. Detection limits were calculated as three times the standard deviation of the reagent blanks. \n\nGamma analysis was conducted using hyper-pure germanium detectors calibrated for efficiency using a certified reference solution (National Physics Laboratory R08-04). Spectra were analysed using Canberra Apex software and activity concentrations decay corrected to the day of sampling. Replicate analyses were conducted on random samples and process blanks for quality assurance purposes. ","locations":["POLYGON((-2.892 53.197, -2.892 55.44, 1.197 55.44, 1.197 53.197, -2.892 53.197))"],"metadataDate":"2026-06-29T16:39:04.000Z","orcid":["https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8f85c188-a915-46ac-966a-95fcb1491be6","10.5285/8f85c188-a915-46ac-966a-95fcb1491be6","doi:10.5285/8f85c188-a915-46ac-966a-95fcb1491be6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants…","state":"published","supplementalDescription":["Transfer parameters for ICRP reference animals and plants collected from a forest ecosystem. Barnett, C.L.; Beresford, N.A.; Walker, L.A.; Baxter, M.; Wells, C.; Copplestone, D. (2014). Radiation and Environment Biophysics, 53, 125-149. "],"title":"Element and radionuclide concentrations in wildlife (including representative species of the ICRP's Reference Animals and Plants) and associated soils from forests in north-east England, 2015-2016","topic":["0/Radioecology/","0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture"],"authorFamilyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"authorFullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"authorGivenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current extent of pasture land were combined to identify the potential country level vulnerabilities of pasture land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on pasture availability in 2050.","documentType":"GEMINI_DOCUMENT","familyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"fullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"givenName":["N.","P ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C.","Nuala"],"identifier":"ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","incomingCitationCount":0,"keyword":["Climate and climate change","Agriculture","Environmental risk","Hydrology","water scarcity","drought"],"keywordsOther":["water scarcity","drought"],"keywordsTheme":["Climate and climate change","Agriculture","Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1and 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from five different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading).\n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.\n\nData used in this study was collected from several sources and cited in the supporting documentation.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T20:08:17.000Z","orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-11-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f","doi:10.5285/ec5cc84e-a8da-4ff8-80d4-26fca1a31e1f"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the percentage of the total pasture area in each country classified as vulnerable to water scarcity (annual run-off is declining and the water shed is defined as water scarce in 2050). Projections of global changes in water scarcity with the current…","state":"published","title":"The percentage of total pasture land, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble","topic":["0/Climate and climate change/","0/Agriculture/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","University of Salford"],"authorFamilyName":["Barnett","Gashchak","Maksimenko","Chaplow","Wood","Beresford"],"authorFullName":["Barnett, C.L.","Gashchak, S.","Maksimenko, A.","Chaplow, J.S.","Wood, M.D.","Beresford, N.A."],"authorGivenName":["C.L.","S.","A. ","J.S.","M.D. ","N.A."],"authorOrcid":["https://orcid.org/0000-0001-9723-7247","https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-0635-2387","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/052dx1v90","https://ror.org/01tmqtf75"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to grassy vegetation, deciduous trees and bacteria; no dose rate estimates for grassy vegetation have been made for those sites where grassy vegetation was absent.\n\nRadiation from the 1986 Chernobyl nuclear power plant accident killed coniferous trees in a 4-6 km2 area of forest to the west of the power plant. This area is now known as the 'Red Forest’ and it has subsequently regenerated with understorey vegetation and deciduous trees; it is the most anthropogenically contaminated radioactive ecosystem on Earth. In July 2016 a severe fire burnt (to varying degrees) c. 80 percent of the Red Forest; this presented a unique opportunity to study the impact of radiation on the recovery of forest ecosystems exposed to a secondary stressor (fire). To investigate this, in September 2017 the RED FIRE project set up sixty study plots in the Red Forest (in burnt and unburnt areas) with a further nine plots established close to Buriakivka village (approximately 8 km from the Red Forest).\n\nVegetation samples from each plot were harvested using shears in September 2017. Each sample was sorted into ‘grassy’ and ‘other’ vegetation; these were air-dried (20-25 degrees Celsius) and the grassy vegetation samples homogenised prior to radionuclide analyses.\n\nSoil core samples collected in September 2017 were bulked, homogenised and sub-samples taken for determination of pH and percentage moisture determined by oven drying (approximately 60 degrees Celsius) to a constant mass. The remaining soil sample was used for the determination of radionuclide activity concentrations; prior to analyses, these samples were dried at approximately 80 degrees Celsius.\n\nThis work was funded by the NERC, Grant Ref: NE/P015212/1 (RED FIRE: Radioactive Environment Damaged by fire: a Forest In Recovery)","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Gashchak","Maksimenko","Chaplow","Wood","Beresford"],"fullName":["Barnett, C.L.","Gashchak, S.","Maksimenko, A.","Chaplow, J.S.","Wood, M.D.","Beresford, N.A."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.","A. ","J.S.","M.D. ","N.A."],"grant":["NE/P015212/1"],"identifier":"60782622-7bfa-4615-a9e3-0a802a9f4674","incomingCitationCount":0,"keyword":["high-purity germanium γ-detector ","β-spectrometer ","MKS-01R meter","Chernobyl","Red Forest","Chornobyl","Radioecology","Plot experiment","radionuclide activity","Environmental Risk from Ionising Contaminants: Assessment and Management (ERICA)","RED FIRE","bacterium","grass","deciduous tree","radionuclide"],"keywordsInstrument":["high-purity germanium γ-detector ","β-spectrometer ","MKS-01R meter"],"keywordsOther":["Plot experiment","radionuclide activity","Environmental Risk from Ionising Contaminants: Assessment and Management (ERICA)","RED FIRE","bacterium","grass","deciduous tree","radionuclide"],"keywordsPlace":["Chernobyl","Red Forest","Chornobyl"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Cs-137 activity concentrations were determined in grassy vegetation and soil using a high-purity germanium γ-detector (Model GC3019, Canberra-Packard, Connecticut, USA). A standard 137Cs/152Eu source (OISN-1; Applied Ecology Laboratory of Environmental Safety Centre, Odessa, Ukraine) was used for calibration. The minimal detectable activity was approximately 0.18 Bq per sample with uncertainties of approximately 10-15 percent (p=0.95) depending on the sample type. \n\nSr-90 activity concentrations were determined in soil and grassy vegetation samples using a β-spectrometer (EXPRESS-01) with a thin-filmed (0.1 mm) plastic scintillator detector. No radiochemical pre-treatment was required and samples were analysed as a solid matrix. Daily calibrations were conducted. Spectra were processed by correlating the sample spectra with those obtained from standard sources and those obtained from background measurements; uncertainties were approximately 20 percent (p=0.95).\nPrior to processing to determine activity concentrations of 241Am and Pu isotopes in soil samples, 242Pu and 243Am were added as yield tracers. Samples were dissolved in HF followed by treatment with HNO3, HCl, H3BO3+HNO3 and 8M HNO3. Plutonium and Am were separated using anion exchange resin (Bio Rad AG 1 × 8, 100-200 mesh). The Pu fraction was evaporated. Americium was precipitated with calcium oxalate and then separated using TRU resin columns; lanthanides were removed using an anion exchange resin column. Thin alpha sources of each separated actinide element were prepared by micro co-precipitation with neodymium fluoride and analysed using a Canberra Alpha Analyst alpha spectrometer. Counting errors were typically <20 percent.\n\nTo estimate the activity concentrations of Am-241 and Pu-isotopes for grassy vegetation transfer parameters (CRwo-soil) for Agrostis gigantea from a site within the Red Forest were used (Beresford et al. 2020; Table 4) together with the appropriate measured soil activity concentration (DM). To estimate Sr-90 and Cs-137 activity concentrations in deciduous trees CRwo-soil values from sites within the CEZ were used (Holiaka et al. 2020) together with the measured soil activity concentrations (dry mass); for Am-241 and Pu-isotopes CRwo-soil values for Pinus sylvestris (wood) from a site within the Red Forest were used (Beresford et al. 2020; Table 4).\n\nWeighted absorbed dose rate estimations for grassy vegetation and deciduous tree wood were made using the ERICA Tool http://www.erica-tool.com/ (version 1.3) and the revised ‘R&D128’ spreadsheet model (https://wiki.ceh.ac.uk/display/rpemain/Ar+-+Kr+-+Xe+dose+calculator) was used to estimate the weighted absorbed dose to bacteria. The ambient dose rate (µSv h-1) on the soil surface was measured at each study plot using a MKS-01R meter.","locations":["POLYGON((30.001 51.342, 30.001 51.415, 30.091 51.415, 30.091 51.342, 30.001 51.342))"],"metadataDate":"2026-06-29T16:53:02.000Z","orcid":["https://orcid.org/0000-0001-9723-7247","https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-0635-2387","https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","University of Salford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60782622-7bfa-4615-a9e3-0a802a9f4674","10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674","doi:10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/052dx1v90","https://ror.org/01tmqtf75","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to…","state":"published","supplementalName":["TREE website","REDFIRE website","CHAR webpage"],"title":"Soil and vegetation radionuclide activity concentrations and calculated dose rates from the Red Forest, Chernobyl, Ukraine, 2016-2017","topic":["0/Radioecology/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Fitton"],"authorFullName":["Fitton, N."],"authorGivenName":["N."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. ","documentType":"GEMINI_DOCUMENT","familyName":["Fitton"],"fullName":["Fitton, N."],"funder":["Natural Environment Research Council"],"givenName":["Nuala","N."],"grant":["NE/M021327/1"],"identifier":"1011037f-4f41-41db-ac7a-0d8e9b8bc933","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","Environmental risk","Hydrology","water scarcity","drought","arable farming"],"keywordsOther":["water scarcity","drought","arable farming"],"keywordsTheme":["Agriculture","Climate and climate change","Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 to 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading). \n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:04:29.000Z","orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-07-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1011037f-4f41-41db-ac7a-0d8e9b8bc933","10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933","doi:10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability…","state":"published","title":"Projections of water scarcity in croplands, 2050","topic":["0/Agriculture/","0/Climate and climate change/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds"],"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."],"authorGivenName":["J.","Emin Yahya","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"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"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF","json"],"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","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."],"funder":["Natural Environment Research Council"],"givenName":["Emin Yahya","J.","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"grant":["NE/S009000/1"],"identifier":"8b5834a5-ae8a-4f24-836c-16fab961aeb3","incomingCitationCount":0,"keyword":["GCRF Urban Disaster Risk Hub","Environmental risk","GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsOther":["GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsProject":["GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"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))"],"metadataDate":"2026-06-29T16:02:56.000Z","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"],"publicationDate":"2025-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b5834a5-ae8a-4f24-836c-16fab961aeb3","10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3","doi:10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3"],"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"],"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…","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"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=topic%7C(0/Radioecology/%20OR%200/Environmental%20risk/)"}