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O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial concentration (CFU/ml). Data were sampled over defined periods using culture-based approaches.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"fullName":["Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R.","Michael Ormsby"],"funder":["Natural Environment Research Council"],"givenName":["Michael","Luke","Rosie","Hannah","Richard"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"abbc69c2-b799-4892-a339-fb1ffa4ea2f0","incomingCitationCount":0,"keyword":["Environmental risk","Water quality","Plastisphere","Biofilm","AMR","coliform bacterium","E. coli","waste water"],"keywordsOther":["Plastisphere","Biofilm","AMR","coliform bacterium","E. coli","waste water"],"keywordsTheme":["Environmental risk","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence,  and survival of a clinically relevant strain of E. coli. Bacteria were cultured on materials (Banana Leaf and HDPE) and analysed for persistence over time. Materials (Banana Leaf and HDPE) were prepared and inoculated under controlled laboratory conditions. E. coli strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days).  The experiments utilised standard laboratory equipment such as 96-well plates and incubators. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.\n","metadataDate":"2026-07-29T12:03:47.000Z","orcid":["0000-0002-3991-2336","0000-0003-2530-2120","0009-0003-8928-2189","0000-0001-9842-7798","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","doi:10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial…","state":"published","title":"Colonisation rates of E. coli on plastic and banana leaf under simulated environmental conditions","topic":["0/Environmental risk/","0/Water quality/"],"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. 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Infections of P. pluvialis have been reported on Douglas fir and Western hemlock in Cornwall, Devon, Cumbria, Wales and Scotland since the outbreak was first detected in 2021. Outside of the UK, pine species (Pinus radiata, P. strobus, P. patula) are also susceptible to the pathogen. The scored fragment data were intersected with the boundaries of conservancies, local authorities and active P. pluvialis demarcated areas to summarise the distribution of risks across regions in Scotland.  ","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V.","Louise Barwell"],"funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L. J.","K.","G.","F.","D. E. L.","R.","B. 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The distributions of Douglas fir and western hemlock fragments in Scotland were mapped using the National Forest Estate Subcompartments 2019 and the Native Woodland Survey of Scotland. This was supplemented with Scottish Forestry Phytophthora surveillance data and Statutory Plant Health Notices (SPHNs) since 2013 and detections on Douglas fir or western hemlock in a global Phytophthora database. Felled areas since 2013 were removed using the National Forest Inventory. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The consensus among workshop participants was for climate suitability to be the primary risk factor. 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 the climate suitability models for other Phytophthora species has been attempted using independent UK and European detections.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-25T10:16:14.000Z","orcid":["0000-0002-1643-1046","0009-0001-2611-3391","0000-0003-0334-5867","0000-0003-2675-9464","0000-0002-9154-7954","0000-0001-8151-2769","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/921fcc2e-7491-4058-a21b-3d1de0be1507","10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507","doi:10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507"],"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 risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through…","state":"published","title":"Spatial risk analysis for Phytophthora pluvialis infection of Douglas fir and western hemlock in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Liverpool"],"authorFamilyName":["Brunner","Reynolds","Price","White","Sadler","Wilson","Atkinson","Paterson","Plaistow"],"authorFullName":["Brunner, F.S.","Reynolds, A.","Price, S.","White, N.","Sadler, D.E.","Wilson, I.W.","Atkinson, D.A.","Paterson, S.","Plaistow, S.J."],"authorGivenName":["F.S. ","A.","S.","N.","D.E.","I.W.","D.A.","S.J."],"authorOrcid":["0000-0002-6571-6945","0000-0001-5800-4715","0000-0001-9715-3270","0000-0002-9956-2454","0000-0002-1307-2981","0000-0002-9003-6271"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate of adaptation to experimental heatwaves. All data were collected between 2017 and 2019. Thermal data was collected continuously using data loggers. The frequency of natural heatwaves was manipulated using a programmable aquatic mesocosm facility using data collected from real heatwaves from 2006. Phenotypic evolution was tracked using intermittent common garden life-history studies while changes in clone frequency were determined using microsatellite markers to track changes in clone frequency in manipulated populations over two years. Experimental data on zooplankton community dynamics were monitored using intermittent depth integrated sampling of communities in each mesocosm over two years. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/N016017/1).","documentType":"GEMINI_DOCUMENT","familyName":["Brunner","Reynolds","Price","White","Sadler","Wilson","Atkinson","Paterson","Plaistow"],"fullName":["Brunner, F.S.","Reynolds, A.","Price, S.","White, N.","Sadler, D.E.","Wilson, I.W.","Atkinson, D.A.","Paterson, S.","Plaistow, S.J.","Plaistow, S."],"funder":["Natural Environment Research Council"],"givenName":["F.S. ","A.","S.","N.","D.E.","I.W.","D.A.","S.J.","Stewart"],"grant":["NE/N016017/1"],"identifier":"2ae5e8d3-be36-4517-b80c-c6b91792b769","incomingCitationCount":0,"keyword":["Environmental risk","Daphnia magna","Phenotypic plasticity","clonal diversity","Experimental evolution","Fitness traits","Mesocosms","Freshwater ecology","Heatwaves","eutrophication","freshwater"],"keywordsOther":["Daphnia magna","Phenotypic plasticity","clonal diversity","Experimental evolution","Fitness traits","Mesocosms","Freshwater ecology","Heatwaves","eutrophication","freshwater"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Daphnia magna clones used in the experiment were isolated from Brown Moss in Shropshire (52°57'01\"N 2°39'05\"W) and Lake Ring in Denmark (55°57′51.83″N, 9°35′46.87″E) as hatched resting eggs.  How plastic each clone is was assayed by rearing clones in common garden studies using four different environments.\n\nForty-two mesocosms with different numbers of plastic and non-plastic Daphnia magna clones were established at Ness botanic gardens (53°16'20\"N 3°02'34\"W).\n\nHeatwave induction and hourly temperature data were managed using heating elements and temperature sensors at 50cm depth connected to Campbell Scientific CR6 Wi-Fi data loggers connected to a virtual server.\nEnvironmental parameter data were collected using hand-held meters every 2-weeks. Water chemistry data were collected every 3-months between 2017-2019 and analysed using a spectrophotometer (see supporting doc for details).\n\nThe life-history and thermal tolerance of D. magna in mesocosms was assayed 5 times a year before and after heatwaves (September 2017 March 2018, June 2018, August 2018, and October 2018) by sampling animals from each mesocosm and rearing an offspring in common garden study.\n\nClone-frequency changes were monitored in a subset of mesocosms at 8 timepoints between 2017-2019 using four microsatellite markers.\n\nCommunity dynamics in each mesocosm were assessed at 8-timepoints between 2017-2019 using depth integrated samples from four locations across a mesocosm for a total of 10L of water, which was then filtered through 100 micromitre sieves and stored in 15% glycerol at 20 oC prior to counting.\n\nAll data were checked, verified and processed for analysis.","locations":["POLYGON((-3.049 53.268, -3.049 53.275, -3.041 53.275, -3.041 53.268, -3.049 53.268))"],"metadataDate":"2026-07-24T19:31:30.000Z","orcid":["0000-0002-6571-6945","0000-0001-5800-4715","0000-0001-9715-3270","0000-0002-9956-2454","0000-0002-1307-2981","0000-0002-9003-6271"],"organisation":["University of Liverpool","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ae5e8d3-be36-4517-b80c-c6b91792b769","10.5285/2ae5e8d3-be36-4517-b80c-c6b91792b769","doi:10.5285/2ae5e8d3-be36-4517-b80c-c6b91792b769"],"resourceType":"Dataset","rightsHolder":["University of Liverpool"],"ror":["https://ror.org/04xw4m193","https://ror.org/04xs57h96"],"shortenedDescription":"This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Hourly temperature, environmental parameter and Daphnia magna phenotypic and genetic change in mesocosms with manipulated experimental parameters, 2017-2019","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorOrcid":["0000-0002-7398-4237","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9500-0633","0000-0002-3627-851X","0000-0003-0529-4020","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for the years 2040, 2070 and 2100 under the Shared Socioeconomic Pathways (SSPs) 1-5. SSPs are future scenarios based on narratives of possible socio-economic pathways.\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.","E.J. ","T.","M."],"grant":["NE/R016429/1 "],"identifier":"eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","incomingCitationCount":0,"keyword":["Environmental risk","aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsOther":["aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:53:55.000Z","orcid":["0000-0002-7398-4237","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9500-0633","0000-0002-3627-851X","0000-0003-0529-4020","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","doi:10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,…","state":"published","supplementalDescription":["Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., Kc, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L. A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.: The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change, 42, 153–168, https://doi.org/10.1016/j.gloenvcha.2016.05.009, 2017."],"supplementalName":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp.","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01012022  ","The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory","Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre.","SSP scenarios"],"temporalExtentText":"Data collected from 2040 to 2040","title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 2040, 2070 and 2100 under the Shared Socioeconomic Pathway scenarios 1-5","topic":["0/Environmental risk/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Nord University","University of Cambridge","SMART Research Institute"],"authorFamilyName":["Eycott","Turner","Luke","Advento"],"authorFullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"authorGivenName":["A.E.","E.C.","S.H.","A.D."],"authorOrcid":["0000-0002-8609-1091","0000-0003-2715-2234","0000-0002-8335-5960"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Herbivory was measured 17 times in total (every 3-4 months) between April 2013 and August 2017. Eighteen plots were examined across three estates - plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 data only) were replanted in 2014. Plots were organised in triplets; in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. \n\nThe data contain damage estimated in three ways: by eye for the whole crown, by eye for the 17th frond, and by image processing for 20 leaflets of the 17th frond. ","documentType":"GEMINI_DOCUMENT","familyName":["Eycott","Turner","Luke","Advento"],"fullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D.","Eycott, A."],"funder":["Natural Environment Research Council"],"givenName":["A.E.","E.C.","S.H.","A.D.","A."],"grant":[" NE/P00458X/1"],"identifier":"c2fbd22c-1ce9-4435-b4b0-e333addef346","incomingCitationCount":0,"keyword":["Indonesia","Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental risk","oil palm"],"keywordsOther":["oil palm"],"keywordsPlace":["Indonesia"],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"At each recording session, three palms were selected at random from within experimental plots. Random palm selection was done using the rnd function in excel before visiting the field, as each palm in the experimental plots has a unique identifying tag. In the replanted stands where palms are not tagged, the randomisation was done by counting steps from the corner of the plot, again using the rnd function in excel.\n\nFirst the damage to the crown form herbivory was estimated visually from the ground. Then, counting from the youngest fully-opened frond, the 17th frond in the crown of the palm was cut and caught in a white cloth. Frond 17 represents a middle-aged frond (aged between 8.5 and 9 months) in mature palms and is commonly used by the oil palm industry as a standard to measure herbivory and herbivore load. The damage to the frond (in percent) was estimated visually. Then twenty paired leaflets, spaced evenly along the frond, were cut, placed flat on a white board and photographed (using a Nikon D90). Photography and visual damage estimates were always carried out by the same person, from the same angle (bottom left), to reduce sampling bias.\n\nPhotographs were pre-processed to remove noise and converted to binary images in Microsoft Paint. The total leaflet area was then measured in Fiji (https://fiji.sc/). A second image was prepared in Microsoft Paint, with all herbivory damage 'filled in', such that the leaflets appeared to be intact. Where leaflet tips were missing, a conservative estimate for the leaflet tip was drawn in, based on the length of neighbouring leaflets. This second image was measured in Fiji in the same way and the percent of the leaflet area consumed by herbivores was calculated. \n\nBasic data checks were carried out (checks for impossible values, such as an increase in leaf area after processing or extreme discrepancy between visual estimate and image processing values).","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"metadataDate":"2026-07-25T14:00:49.000Z","orcid":["0000-0002-8609-1091","0000-0003-2715-2234","0000-0002-8335-5960"],"organisation":["Nord University","University of Cambridge","SMART Research Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-02-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2fbd22c-1ce9-4435-b4b0-e333addef346","10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346","doi:10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established…","state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"temporalExtentText":"Data collected from 2013 to 2017","title":"Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Carnell","Tomlinson","Reis"],"authorFullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"authorGivenName":["E.","S.J.","S."],"authorOrcid":["0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-2428-8320"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","familyName":["Carnell","Tomlinson","Reis"],"fullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["E.","S.J.","S."],"identifier":"7beefde9-c520-4ddf-897a-0167e8918595","incomingCitationCount":2,"keyword":["UK","Mapping","Environmental risk","population","land cover","Gridded"],"keywordsOther":["population","UK","land cover","Gridded"],"keywordsPlace":["UK"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files.\nLand Cover Map 2021 raster data has been obtained from UKCEH.\nOutput Area (/Data Zone) geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\nThe processing steps are detailed in the Supporting Documentation.\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:57:11.000Z","orcid":["0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-2428-8320"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7beefde9-c520-4ddf-897a-0167e8918595","10.5285/7beefde9-c520-4ddf-897a-0167e8918595","doi:10.5285/7beefde9-c520-4ddf-897a-0167e8918595"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical…","state":"published","supplementalDescription":["Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency"],"supplementalName":["Land Cover Map 2021 (25m rasterised land parcels, GB)  ","Land Cover Map 2021 (25m rasterised land parcels, NI)  ","England and Wales Output Areas","Scotland Output Areas","Northern Ireland Data Zones"],"temporalExtentText":"Data collected from 2021 to 2022","title":"UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Exeter","University of the Arts London"],"authorFamilyName":["Parker","Lewis","Hassan","Smik","Galloway"],"authorFullName":["Parker, B.","Lewis, C.","Hassan, M.","Smik, L.","Galloway, T."],"authorGivenName":["Ben","Ceri","Mahbub","Lukas","Tamara"],"authorOrcid":["0000-0001-6731-7852","0000-0002-3564-2906","0000-0002-4120-6094","0000-0002-7466-6775"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/04cnfrn26"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource contains data on the toxicity and environmental risk of bio-based (\"natural\") and petroleum-based (\"plastic\") sequins with the aim of assessing the toxicity of these materials. Data include the toxicity for sequin particles, sequin leachates, sequin additives and a reference toxicant, changes in mass after a leaching process (degradation) and metal concentrations in both the sequins and their leachates. Toxicity was assessed using OECD (Organisation for Economic Co-operation and Development) 48 h Daphnia magna immobilisation assays with four replicates each of five individuals for five experimental concentrations and a control. Leaching was carried out using an incubator (INFORS HT Multitron incubator shaker) and metal concentrations were assessed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS:  PerkinElmer NexION 5000, Shelton, Connecticut, USA). Please refer to the associated open access publication for additional details.","documentType":"GEMINI_DOCUMENT","familyName":["Parker","Lewis","Hassan","Smik","Galloway"],"fullName":["Parker, B.","Lewis, C.","Hassan, M.","Smik, L.","Galloway, T.","Ben Parker"],"funder":["Natural Environment Research Council"],"givenName":["Ben","Ceri","Mahbub","Lukas","Tamara"],"grant":["NE/Y003985/1"],"identifier":"a00a641c-c43d-4c03-8b72-3b0c799e2442","incomingCitationCount":0,"keyword":["Environmental risk","Bioplastics","Sustainability","textile","plastic","metal","ecotoxicology","aquatic ecosystem"],"keywordsOther":["Bioplastics","Sustainability","textile","plastic","metal","ecotoxicology","aquatic ecosystem"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Data were collected for five bio based sequins and eleven petroleum-based sequins sourced from an industry partner and University of the Arts London.\n\nMaterial sheets were punched to produce 8 mm diameter circular sequins, these were weighed (1.Sequin_masses) and subject to a leaching process to assess the change in mass after a 7 d leaching process (2.Sequin_mass_changes).\n\nThe toxicity of cryoground sequin particles, sequin leachates and additives to Daphnia magna was determined alongside procedural blanks and controls (3.Sequin_toxicity_data).\n\nFinally, Inductively Coupled Plasma Mass Spectrometry was used to assess the concentrations of 15 metals within the sequin leachates (4.Sequin_leached_metals) and for acidified sequins (5.Sequin_digested_metals) including procedural blanks and standards.\n\nPlease refer to the associated manuscript for additional details","metadataDate":"2026-08-11T09:36:48.000Z","orcid":["0000-0001-6731-7852","0000-0002-3564-2906","0000-0002-4120-6094","0000-0002-7466-6775"],"organisation":["University of Exeter","University of the Arts London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-08-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a00a641c-c43d-4c03-8b72-3b0c799e2442","10.5285/a00a641c-c43d-4c03-8b72-3b0c799e2442","doi:10.5285/a00a641c-c43d-4c03-8b72-3b0c799e2442"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04cnfrn26","https://ror.org/04xw4m193"],"shortenedDescription":"This resource contains data on the toxicity and environmental risk of bio-based (\"natural\") and petroleum-based (\"plastic\") sequins with the aim of assessing the toxicity of these materials. Data include the toxicity for sequin particles, sequin leachates, sequin additives…","state":"published","title":"Aquatic toxicity, degradation and metal concentrations of bio-based and petroleum-based sequins","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Essex","Cranfield University","Archipelagos Institute of Marine Conservation"],"authorFamilyName":["Thomas","Campo","Clark","Coulon","Gregson","Miliou","Cameron","Hepburn","Whitby","McGenity","McKew"],"authorFullName":["Thomas, G.E.","Campo, P.","Clark, D.R.","Coulon, F.","Gregson, B.H.","Miliou, A.","Cameron, T.C.","Hepburn, L.J.","Whitby, C.","McGenity, T.J.","McKew, B.A."],"authorGivenName":["G.E.","P.","D.R","F.","B.H.","A.","T.C.","L.J.","C.","T.J.","B.A."],"authorOrcid":["0000-0002-3883-177X","0000-0001-8569-9620","0000-0002-2306-0220","0000-0002-4384-3222","0000-0001-8337-227X","0000-0002-5875-1494","0000-0002-5109-7127","0000-0003-1998-2748","0000-0002-1497-8822","0000-0001-5607-6619"],"authorRor":["https://ror.org/02nkf1q06","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September 2017 and April 2018. For sediments taken at each site, data includes hydrocarbon concentrations (alkanes and Polycyclic Aromatic Hydrocarbons (PAHs)), absolute microbial abundance (by Quantitative Polymerase Chain Reaction (qPCR)) of Bacteria, Archaea, and Fungi, and 16S rRNA amplicon libraries of Bacteria and Archaea. Additionally, nutrient concentrations (ammonia, nitrate, nitrite, silicate, and phosphate) were measured from seawater samples taken at the same sites.\n\nThis study was conducted by the University of Essex, in partnerships with Archipelagos Institute of Marine Conservation and Cranfield University, and funded by the National Environmental Research Council and EnvEast DTP.","documentType":"GEMINI_DOCUMENT","familyName":["Thomas","Campo","Clark","Coulon","Gregson","Miliou","Cameron","Hepburn","Whitby","McGenity","McKew"],"fullName":["Thomas, G.E.","Campo, P.","Clark, D.R.","Coulon, F.","Gregson, B.H.","Miliou, A.","Cameron, T.C.","Hepburn, L.J.","Whitby, C.","McGenity, T.J.","McKew, B.A.","McKew, B."],"funder":["Natural Environment Research Council"],"givenName":["G.E.","P.","D.R","F.","B.H.","A.","T.C.","L.J.","C.","T.J.","B.A.","Boyd"],"grant":["NE/R016569/1"],"identifier":"acf464dc-be75-41b8-9688-f2ba4037ef53","incomingCitationCount":0,"keyword":["Greece","Salamina","Environmental risk","Environmental survey","Hydrology","Pollution","Water quality","oil spill","oil pollution","hydrocarbons","environmental biology","remediation","sediments","16S rRNA","coastal"],"keywordsOther":["oil spill","oil pollution","hydrocarbons","environmental biology","remediation","sediments","16S rRNA","coastal"],"keywordsPlace":["Greece","Salamina"],"keywordsTheme":["Environmental risk","Environmental survey","Hydrology","Pollution","Water quality"],"licence":"Open government licence","lineage":"Samples were collected, in triplicate, in sterile 100 ml containers from the coastal surface (0 - 5 cm) sediments. To attain a comprehensive sample of the oil spill, samples were taken from control (non-oil contaminated) and contaminated (oil contaminated) sites along the Athens Riviera and Salamina Island coast, Greece. Samples were initially collected from the Athens Riviera immediately (September 2017) after the oil spill occurred.\nSubsequently, samples were collected from both Athens and Salamina in the following months, although there are some missing data points. \nThe sampling schedule concluded in April 2018.","locations":["POLYGON((23.298 37.842, 23.298 38.075, 23.774 38.075, 23.774 37.842, 23.298 37.842))"],"metadataDate":"2026-09-15T08:39:53.000Z","orcid":["0000-0002-3883-177X","0000-0001-8569-9620","0000-0002-2306-0220","0000-0002-4384-3222","0000-0001-8337-227X","0000-0002-5875-1494","0000-0002-5109-7127","0000-0003-1998-2748","0000-0002-1497-8822","0000-0001-5607-6619"],"organisation":["University of Essex","Cranfield University","Archipelagos Institute of Marine Conservation","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/acf464dc-be75-41b8-9688-f2ba4037ef53","10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53","doi:10.5285/acf464dc-be75-41b8-9688-f2ba4037ef53"],"resourceType":"Dataset","ror":["https://ror.org/02nkf1q06","https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"These data were collected from surface sediments (0-5 cm) at sites located along the Athens Riviera and Salamina coastline, Greece. The sediments came from both oil-contaminated (via Agia Zoni II oil-spill) and uncontaminated sites and were first collected between September…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Hydrocarbon and microbial community data from contaminated beaches in Salamina and the Athens Riviera following the Agia Zoni II Oil Spill (2017-2018)","topic":["0/Environmental risk/","0/Environmental survey/","0/Hydrology/","0/Pollution/","0/Water quality/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Lausanne","Vietnam National University, Hanoi","Can Tho University","Bangladesh University of Engineering and Technology","Jadavpur University","University of Glasgow","Data Guard"],"authorFamilyName":["Cremin","Le","Hua","Murshed","Mashfiqus","Banerjee","Ghosh","Renaud","Baron"],"authorFullName":["Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L."],"authorGivenName":["Emilie","Hue","Hieu Hong","Sonia","Salehin","Sumana","Tuhin","Fabrice","Loïc"],"authorOrcid":["0000-0003-4732-2376","0000-0002-9775-3601","0000-0002-1513-7240","0009-0007-4641-6078","0000-0002-3466-867X","0000-0002-0830-1196","0000-0002-2847-0448"],"authorRor":["https://ror.org/019whta54","https://ror.org/02jmfj006","https://ror.org/0071qz696","https://ror.org/05a1qpv97","https://ror.org/02af4h012","https://ror.org/00vtgdb53"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction, and environmental governance, including teams linked to the United Nations University, University of Glasgow and partner universities. The GDRI is a modular library of 143 indicators selected following consultations with stakeholders during workshops. After reviewing data availability, the current dataset comprises 47 indicators with data comparable across 3 deltas in 3 countries (India, Bangladesh, Vietnam). The GDRI combines several categories of data to measure risk in river deltas (please refer to the readme file for full explanation of the data categories):\n\n1. Hazard data describing environmental threats affecting deltas, including: river flooding, coastal flooding, cyclones and storm surges, erosion, land subsidence, salinity intrusion, sea-level rise, and droughts and extreme rainfall. Additionally, multi-hazard layers are often derived from: remote sensing, climate models, hydrological and flood simulations, and national disaster databases.\n\n2. Exposure data to identify what is exposed to hazards: population density, settlements and infrastructure, agricultural land, ecosystems (mangroves, wetlands, fisheries). \n\n3. Vulnerability indicators, such as: poverty, malnutrition, access to sanitation and healthcare, education. gender inequality, livelihood dependence on natural resources, ecosystem degradation, and institutional capacity.\n\n4. Coping and adaptive capacity data to measure the ability of communities and ecosystems to respond to hazards: governance quality, disaster preparedness, infrastructure access, social protection systems, ecological robustness, and community networks.\n\nThe GDRI was created because river deltas are among the world's most vulnerable regions under climate change and environmental pressure. The dataset explicitly aims to bridge the gap between disaster-risk frameworks and sustainability frameworks. The GDRI enables comparisons of different river deltas globally at sub-delta administrative scales. This dataset present the application been applied for the Mekong Delta, the Red River Delta and Ganges-Brahmaputra-Meghna Delta.. The subnational Global Delta Risk Index 2025 gathered data from 28,608 villages across the Red River delta (Vietnam), the Mekong delta (Vietnam) and the Ganges-Brahmaputra-Meghna delta (India and Bangladesh).","documentType":"GEMINI_DOCUMENT","familyName":["Cremin","Le","Hua","Murshed","Mashfiqus","Banerjee","Ghosh","Renaud","Baron"],"fullName":["Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L.","Emilie Cremin"],"funder":["Natural Environment Research Council"],"givenName":["Emilie","Hue","Hieu Hong","Sonia","Salehin","Sumana","Tuhin","Fabrice","Loïc"],"grant":["NE/S008926/1"],"identifier":"740821f3-92c6-48fa-ade7-526521a5aaba","incomingCitationCount":0,"keyword":["Ganges Brahmaputra Meghna Delta","Mekong River Delta","Red River Delta","Bangladesh","Vietnam","India","Environmental risk","Ecosystem services","Modelling","Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity"],"keywordsOther":["Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity"],"keywordsPlace":["Ganges Brahmaputra Meghna Delta","Mekong River Delta","Red River Delta","Bangladesh","Vietnam","India"],"keywordsTheme":["Environmental risk","Ecosystem services","Modelling"],"licence":"Open government licence","lineage":"To develop the Global Delta Risk Index, several factors are examined for each delta. These include locational factors, social susceptibility, lack of coping and adaptation capacities, ecosystem sensitivity, lack of ecosystem robustness, population exposure (in relation to climate, salinity, flooding, cyclones, storm surges), ecosystem exposure, agriculture exposure, aquaculture exposure, social-ecological vulnerability, social-ecological exposure, and social-ecological risk. Please refer to the metadata for full explanation of the dataset lineage.\n\nThis GDRI approach provides the following aspects:\nScale - Sub-delta administrative units\nType - Composite socio-ecological risk index\nData sources - Remote sensing, census, climate models, stakeholder input\nMethod - Indicator-based multi-hazard assessment\nFocus - Human + ecological vulnerability\nGoal - Decision support for resilience and sustainability\n\nThe GDRI uses a mixed-method and multi-source methodology combining: \nStep 1: Conceptual framework design\nStep 2: Stakeholder consultations and Workshops to identify locally relevant risks and indicators\nStep 3: Literature review\nStep 4: Spatial and statistical integration\nStep 5: Scenario modelling\n\nList of relevant indicators was defined with stakeholders and experts in 7 focus groups: 3 in the Mekong delta, 3 in the GBM-B and 1 in the RRD\n-\tScoring has been performed through online survey with 78 stakeholders and experts from 4 river deltas (including the GBM-I online)\n-\tSecondary data collected online (please refer to the metadata for the full list of secondary data sources).","locations":["POLYGON((87.654 8.485, 87.654 23.565, 107.284 23.565, 107.284 8.485, 87.654 8.485))"],"metadataDate":"2026-08-10T14:11:27.000Z","orcid":["0000-0003-4732-2376","0000-0002-9775-3601","0000-0002-1513-7240","0009-0007-4641-6078","0000-0002-3466-867X","0000-0002-0830-1196","0000-0002-2847-0448"],"organisation":["University of Lausanne","Vietnam National University, Hanoi","Can Tho University","Bangladesh University of Engineering and Technology","Jadavpur University","University of Glasgow","Data Guard","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-07-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/740821f3-92c6-48fa-ade7-526521a5aaba","10.5285/740821f3-92c6-48fa-ade7-526521a5aaba","doi:10.5285/740821f3-92c6-48fa-ade7-526521a5aaba"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/019whta54","https://ror.org/02jmfj006","https://ror.org/0071qz696","https://ror.org/05a1qpv97","https://ror.org/02af4h012","https://ror.org/00vtgdb53","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction,…","state":"published","supplementalDescription":["Cremin, E., O'Connor, J., Banerjee, S. et al. Aligning the Global Delta Risk Index with SDG and SFDRR global frameworks to assess risk to socio-ecological systems in river deltas. Sustain Sci 18, 1871-1891 (2023)."],"title":"The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025","topic":["0/Environmental risk/","0/Ecosystem services/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Dundee"],"authorFamilyName":["Connolly","Moffat"],"authorFullName":["Connolly, C.N.","Moffat, C."],"authorGivenName":["C.N.","C."],"authorRor":["https://ror.org/03h2bxq36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains a colony performance indicator monitored from Bumblebee colonies of similar mass after 43-48 days in the field. The weight in milligrams (mg) is given of each surviving bee recorded as it was removed from the outside of the nest as we progressed towards the nest core. Bumblebee colonies of similar mass were provided with sugar syrup (UT, n=12), containing chlorpyrifos (CP, 150  nanomolar nM, n=6) imidacloprid (IMD, 10 nM, n= 6) or both (IMD + CP, n=12). No pollen was provided and bees were free to forage in a wilderness/grassland area in the west of Scotland.  The data were collected as part of a project within the UK Insect Pollinators Initiative (2010-2015).","documentType":"GEMINI_DOCUMENT","familyName":["Connolly","Moffat"],"fullName":["Connolly, C.N.","Moffat, C."],"givenName":["C.N.","C."],"identifier":"341414f8-e88a-43e5-ade3-c30623c1586d","incomingCitationCount":0,"keyword":["Wester Ross","Environmental risk","Pollinators","Bumblebee","Bombus terrestris audax"],"keywordsOther":["Bumblebee","Bombus terrestris audax"],"keywordsPlace":["Wester Ross"],"keywordsTheme":["Environmental risk","Pollinators"],"licence":"Open government licence","lineage":"The data was generated as follows: Nests were anaesthetised using carbon dioxide until the bees became slow/immobilised.  The nest was opened and each bee was removed and weighed on a top pan balance before being killed rapidly in ice-cold water containing detergent before full awakening.","locations":["POLYGON((-5.823 57.353, -5.823 57.968, -5.174 57.968, -5.174 57.353, -5.823 57.353))"],"metadataDate":"2026-09-15T08:42:33.000Z","organisation":["University of Dundee","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/341414f8-e88a-43e5-ade3-c30623c1586d","10.5285/341414f8-e88a-43e5-ade3-c30623c1586d","doi:10.5285/341414f8-e88a-43e5-ade3-c30623c1586d"],"resourceType":"Dataset","ror":["https://ror.org/03h2bxq36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a colony performance indicator monitored from Bumblebee colonies of similar mass after 43-48 days in the field. The weight in milligrams (mg) is given of each surviving bee recorded as it was removed from the outside of the nest as we progressed…","state":"published","temporalExtentText":"Data available up to 2014","title":"The number and individual weight of bumblebees (Bombus terrestris audax) from nests containing neonicotinoids in Wester Ross, UK","topic":["0/Environmental risk/","0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorGivenName":["J.S.","N.A.","C.L."],"authorOrcid":["0000-0002-8058-8697","0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise collated data on calcium and magnesium (milligrams per kilogram dry mass) in plants used as human and animal food (including fruit, vegetables, grasses, nuts and seeds) from global literature published between 1982 and 2019. Where reported strontium values are also included. Each data point is referenced.","documentType":"GEMINI_DOCUMENT","familyName":["Chaplow","Beresford","Barnett"],"fullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L.","Chaplow, J."],"givenName":["J.S.","N.A.","C.L.","Jacky"],"identifier":"6a0552d9-b9f8-4b5d-809d-47c9bf64ef94","incomingCitationCount":0,"keyword":["CONFIDENCE","CONCERT","Environmental risk","Radioecology","magnesium","EURATOM","strontium","calcium"],"keywordsOther":["magnesium","EURATOM","strontium","calcium"],"keywordsProject":["CONFIDENCE","CONCERT"],"keywordsTheme":["Environmental risk","Radioecology"],"licence":"Open government licence","lineage":"Data were collated from published global literature and converted to milligrams per kilogram dry mass. If the water content had already been accounted for in the published data, the water_content_% column contains n/a. Where water content was not already accounted for in the data, the percentage water content is provided and was applied to the data. The data were filtered and the ranges checked; outlier values were checked for accuracy. Each data point is referenced and a full list of references is provided in the supporting document.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T06:47:00.000Z","orcid":["0000-0002-8058-8697","0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6a0552d9-b9f8-4b5d-809d-47c9bf64ef94","10.5285/6a0552d9-b9f8-4b5d-809d-47c9bf64ef94","doi:10.5285/6a0552d9-b9f8-4b5d-809d-47c9bf64ef94"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise collated data on calcium and magnesium (milligrams per kilogram dry mass) in plants used as human and animal food (including fruit, vegetables, grasses, nuts and seeds) from global literature published between 1982 and 2019. Where reported strontium…","state":"published","temporalExtentText":"Data collected from 1982 to 2019","title":"Calcium and magnesium concentrations in plants used as human and animal foods derived from global literature","topic":["0/Environmental risk/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","AECOM"],"authorFamilyName":["Abancó","Jones"],"authorFullName":["Abancó, C.","Jones, J.N."],"authorGivenName":["C.","J.N."],"authorOrcid":["0000-0002-2169-5409","0000-0002-8992-1572"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/030p6ep86"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains the areas affected by landslides triggered by Typhoon Mangkhut in the area of Itogon (Benguet, Philippines) between the 13th and 15th of September 2018. The polygons were mapped using very high-resolution satellite imagery from before and after the typhoon. The pre-typhoon images were captured on 18/02/2018 and the post-typhoon images were captured on 02/03/2019 using the World-View 2 satellite. Google Earth imagery was also used as a supplementary source. The study area covers 570 km2.","documentType":"GEMINI_DOCUMENT","familyName":["Abancó","Jones"],"fullName":["Abancó, C.","Jones, J.N."],"givenName":["C.","J.N."],"identifier":"32765a61-8510-4dfc-b7c7-58bad12f8497","incomingCitationCount":0,"keyword":["Philippines","Itogon","Mapping","Environmental risk","debris flow","Typhoon Mangkhut","hazard","typhoon","landslide"],"keywordsOther":["Itogon","debris flow","Typhoon Mangkhut","hazard","typhoon","landslide"],"keywordsPlace":["Philippines","Itogon"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"The polygons of the landslides were mapped by a member of team. The technique to map them was visual observation of evidences of change before and after the typhoon, that would correspond to the appearance of a landslide. The inventory was checked by a different person afterwards.","locations":["POLYGON((120.566 16.328, 120.566 16.529, 120.798 16.529, 120.798 16.328, 120.566 16.328))"],"metadataDate":"2026-09-15T08:45:11.000Z","orcid":["0000-0002-2169-5409","0000-0002-8992-1572"],"organisation":["University of Exeter","AECOM","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/32765a61-8510-4dfc-b7c7-58bad12f8497","10.5285/32765a61-8510-4dfc-b7c7-58bad12f8497","doi:10.5285/32765a61-8510-4dfc-b7c7-58bad12f8497"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/030p6ep86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the areas affected by landslides triggered by Typhoon Mangkhut in the area of Itogon (Benguet, Philippines) between the 13th and 15th of September 2018. The polygons were mapped using very high-resolution satellite imagery from before and after…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Areas affected by landslides following Typhoon Mangkhut in Itogon, Philippines, September 2018","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["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":["Martine","David R","Davey L","M."],"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":"2026-07-25T06:53:34.000Z","orcid":["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","temporalExtentText":"Data collected from 2021 to 2022","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":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"authorFullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"authorGivenName":["E.","J.","G.","P."],"authorOrcid":["0000-0002-6233-8942","0000-0002-1223-8345","0000-0002-4713-1070","0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided.\n\nThis dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1).","documentType":"GEMINI_DOCUMENT","familyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"fullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","J.","G.","P."],"grant":["NE/L002531/1","NE/L002566/1"],"identifier":"cf70f798-442a-4775-963c-b6600023830f","incomingCitationCount":0,"keyword":["Oxfordshire","Cotswolds","Thames Basin","Hydrology","Environmental risk","natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsOther":["natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsPlace":["Oxfordshire","Cotswolds","Thames Basin"],"keywordsTheme":["Hydrology","Environmental risk"],"licence":"Open government licence","lineage":"Data were generated using pressure sensors supplied with a factory calibration. A barometric correction was applied to sensor pressure time-series. Barometric corrected pressure data were then calibrated to stage using a linear regression developed between these data and observed stage board readings. After this correction data were quality controlled to flag any spurious readings, which were removed and interpolated if appropriate. Flood Storage Area (FSA) volume for each feature was estimated using a Digital Elevation Model (DEM) produced with LiDAR data. If LiDAR data were not available, as-built manual survey data were interpolated using the Natural Neighbour method. The DEMs were imported into ArcGIS to create a raster and apply a depth-area-volume toolset for each FSA. The continuous corrected water level time-series in each FSA was then used to produce a time-series of stored volume for each FSA, by matching the water level time-series to the depth-stored volume lookup table produced from ArcGIS.","locations":["POLYGON((-1.6 51.85, -1.6 51.88, -1.66 51.88, -1.66 51.85, -1.6 51.85))"],"metadataDate":"2026-09-15T08:39:17.000Z","orcid":["0000-0002-6233-8942","0000-0002-1223-8345","0000-0002-4713-1070","0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf70f798-442a-4775-963c-b6600023830f","10.5285/cf70f798-442a-4775-963c-b6600023830f","doi:10.5285/cf70f798-442a-4775-963c-b6600023830f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset…","state":"published","temporalExtentText":"Data collected from 2018 to 2022","title":"High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Anofa Engineering, Planning and Informatics Ltd.","National Society for Earthquake Technology","University College London","Gebze Technical University","An-Najah National University","Ardhi University","Africa Research and Impact Network","Chittagong University of Engineering & Technology","Centro de Informacion Urbana de Quito"],"authorFamilyName":["Menteşe","Özer","Rawal","Comelli","Cetin","Dabeek","Kyesii","Chengo","Zisan","Cubillo"],"authorFullName":["Menteşe, E.Y.","Özer, E.","Rawal, P.","Comelli, T.","Cetin, N.İ.","Dabeek, J.","Kyesii, A.","Chengo, V.","Zisan, B.","Cubillo, P."],"authorGivenName":["E.Y.","E.","P.","T.","N.İ.","J.","A.","V.","B."],"authorOrcid":["0000-0002-7187-4384","0000-0003-3484-4183","0000-0001-7940-8014","0000-0003-3173-2602","0000-0002-8141-8112","0000-0001-8369-4105","0000-0002-7058-5070","0000-0001-5116-5874","0000-0002-6959-0235","0009-0009-6117-9466"],"authorRor":["https://ror.org/058m30p27","https://ror.org/02jx3x895","https://ror.org/01sdnnq10","https://ror.org/0046mja08","https://ror.org/05k903r09","https://ror.org/052qsay17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","json","GeoJSON","qmd"],"description":"This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings, roads, and power networks, as well as social elements such as households and individuals. The dataset contains a maximum of 9 different data types, described below. For some cities power and road network data were not considered due to context specific priorities. \n\nlanduse: The land use plan data depicting how the land will be zoned and used in the next fifty years within the area or interest. The attributes include the land use type, areal coverage in hectares, maximum population density and existing population. \n\nbuilding: Data representing the building footprints that will emerge as a result of the future exposure generation procedure. It includes the attributes of the building such as its identifier number, construction type, number of floors, footprint area, occupation type and construction code level.\n\nroad nodes: Data representing the points where road segments (edges) are connected to each other, including the identifier number for each node.\n\nroad edges: Data representing the road segments, including the ID numbers of the starting and ending point (node).\n\npower nodes: Data representing the points where power lines (edges) are connected to each other, including the identifier number for each node.\n\npower edges: Data representing the power segments, including the including the ID numbers of the starting and ending point (node).\n\nhousehold: Data that contains social attributes of a household living in a building. The attributes include number of individuals, income level and commonly used facility ID (such as hospital). \n\nindividual: Data that contains the attributes of the individuals that are a part of a household. The attributes are age, gender, school ID (if relevant), workplace ID (if relevant) and last attained education level.\n\nDistribution table: The future projections for each city that identifies the socio-demographic changes and expected physical development in the next 50 years.\n\nThe data can be used in geospatial platforms. The nomenclature for the data is as follows:\n“CitynameFutureExposureDataset/Cityname_CommunityCode_DataType”. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1).","documentType":"GEMINI_DOCUMENT","familyName":["Menteşe","Özer","Rawal","Comelli","Cetin","Dabeek","Kyesii","Chengo","Zisan","Cubillo"],"fullName":["Menteşe, E.Y.","Özer, E.","Rawal, P.","Comelli, T.","Cetin, N.İ.","Dabeek, J.","Kyesii, A.","Chengo, V.","Zisan, B.","Cubillo, P."],"funder":["Natural Environment Research Council"],"givenName":["E.Y.","E.","P.","T.","N.İ.","J.","A.","V.","B."],"grant":["NE/S009000/1"],"identifier":"cdfea06f-d47c-4967-99d4-cc71bddea45d","incomingCitationCount":0,"keyword":["Environmental risk","Future","risk exposure","exposure","hazard","urban","Tomorrow's cities","GCRF Urban Disaster Risk Hub"],"keywordsOther":["Future","risk exposure","exposure","hazard","urban","Tomorrow's cities","GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"For generating the future exposure dataset for each city, a specific computational algorithm that takes into account the land use plan and user defined future projections is used. The algorithm is explained in detail by Mentese et al., 2023.\n\nThe production of the land use plan relies on a community based process, that includes different community groups’ involvement and participatory engagement. In these engagements, in each city, specific groups are identified with the guidance of local experts as part of the Tomorrow’s Cities Project. After the identification, experts from Tomorrow’s Cities Project, local experts and community representatives from the community groups gather for participatory spatial planning for their future urban contexts.\n\nThen, the produced land use plan is integrated (using the software algorithm) with the future socio-demographic projections and expected physical development defined by the local experts and existing literature on the context. As a result of this procedures, building data, socio-demographic datasets and network related data (where relevant) is produced.\n","locations":["POLYGON((-82.267 -13.582, -82.267 44.214, 77.696 44.214, 77.696 -13.582, -82.267 -13.582))"],"metadataDate":"2026-07-25T14:06:29.000Z","orcid":["0000-0002-7187-4384","0000-0003-3484-4183","0000-0001-7940-8014","0000-0003-3173-2602","0000-0002-8141-8112","0000-0001-8369-4105","0000-0002-7058-5070","0000-0001-5116-5874","0000-0002-6959-0235","0009-0009-6117-9466"],"organisation":["Anofa Engineering, Planning and Informatics Ltd.","National Society for Earthquake Technology","University College London","Gebze Technical University","An-Najah National University","Ardhi University","Africa Research and Impact Network","Chittagong University of Engineering & Technology","Centro de Informacion Urbana de Quito","NERC EDS Environmental Information Data Centre","University of Edinburgh"],"publicationDate":"2025-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cdfea06f-d47c-4967-99d4-cc71bddea45d","10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d","doi:10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/058m30p27","https://ror.org/02jx3x895","https://ror.org/01sdnnq10","https://ror.org/0046mja08","https://ror.org/05k903r09","https://ror.org/052qsay17","https://ror.org/04xw4m193","https://ror.org/01nrxwf90"],"shortenedDescription":"This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings,…","state":"published","supplementalDescription":["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. International Journal of Disaster Risk Reduction, 90, 103651."],"title":"Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Biomathematics and Statistics Scotland","UK Centre for Ecology & Hydrology","Norwegian Institute for Nature Research","SLR Consulting Limited","ABP Marine Environmental Research Ltd."],"authorFamilyName":["Frantsuzova","Butler","Searle","Bogdanova","Daunt","Fayet","Furness","Reiertsen","Skeate"],"authorFullName":["Frantsuzova, A.","Butler, A.","Searle, K.","Bogdanova, M.","Daunt, F.","Fayet, A.L.","Furness, R.","Reiertsen, T.K.","Skeate, E."],"authorGivenName":["Anastasia","Adam","Kate","Maria","Francis","Annette L.","Robert","Tone Kristin","Eleanor"],"authorRor":["https://ror.org/03jwrz939","https://ror.org/00pggkr55","https://ror.org/04aha0598"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about outputs of a video-conference expert elicitation exercise carried out in March 2023 to estimate demographic consequences of potential seabird compensatory measures within the context of protected breeding populations in the North Sea. The outputs comprise of expert judgements from 6 experts given as quantitative values (median, quantiles and range) for the impact of each potential compensation measure on seabird demography (survival and productivity) for a range of species or species groups, and the estimated parameters of a probability distribution fitted using these judgements. The list of measures and species to consider was decided by the experts. The elicitation exercise was organised and carried out by UKCEH and Biomathematics and Statistics, Scotland (BioSS). Distribution fitting was carried out by BioSS. One expert gave incomplete quantitative judgements, which were not included in the final estimation of distribution parameters.\n\nThis work was funded by NERC, The Crown Estate, Crown Estate Scotland and DEFRA  as part of the ECOWINGS project within the ECOWind programme","documentType":"GEMINI_DOCUMENT","familyName":["Frantsuzova","Butler","Searle","Bogdanova","Daunt","Fayet","Furness","Reiertsen","Skeate"],"fullName":["Frantsuzova, A.","Butler, A.","Searle, K.","Bogdanova, M.","Daunt, F.","Fayet, A.L.","Furness, R.","Reiertsen, T.K.","Skeate, E.","Anastasia Frantsuzova"],"funder":["Natural Environment Research Council"],"givenName":["Anastasia","Adam","Kate","Maria","Francis","Annette L.","Robert","Tone Kristin","Eleanor"],"grant":["NE/X009068/1"],"identifier":"8847e78c-8778-474b-b2a2-3931beeb0e1b","incomingCitationCount":0,"keyword":["Modelling","Environmental risk","expert elicitation","compensatory measure","species conservation","population viability","demography","conservation management","mitigation measure","ecological compensation","offshore wind farm","black-legged kittiwake","common guillemot","Atlantic puffin","razorbill","northern gannet","ecowings"],"keywordsOther":["expert elicitation","compensatory measure","species conservation","population viability","demography","conservation management","mitigation measure","ecological compensation","offshore wind farm","black-legged kittiwake","common guillemot","Atlantic puffin","razorbill","northern gannet","ecowings"],"keywordsTheme":["Modelling","Environmental risk"],"licence":"Open government licence","lineage":"The dataset consists of two CSV files containing expert judgements and fitted Beta distribution parameters. Values represent expert estimates of the potential change in breeding success and adult survival resulting from compensatory measures at bird colonies.  Expert judgements were collected using the Sheffield Elicitation Framework (SHELF) through a structured online elicitation process. Six experts were selected based on their expertise, career stage, gender and availability. They provided ranges and quantiles for each scenario, which were discussed within the expert group for internal consistency and physical plausibility. Individual judgements were anonymised and combined by the facilitators after each elicitation round. A Beta distribution was fitted to the judgements for each expert, measure and species. Experts reviewed the resulting distributions and probability curves and could refine their judgements following discussion.\n\nThe main limitations are that results depend on the selection and judgement of the experts and may be affected by cognitive biases, differences in interpretation or group dynamics. The fitted Beta distributions also impose assumptions about the shape of expert beliefs, particularly in the tails, and the available ranges and quantiles provide limited information about the underlying distributions. Consequently, fitted distributions may be sensitive to small changes in the elicited values and may not fully represent expert beliefs. Experts generally considered the Beta distribution to provide a reasonable representation. \n\nQuality control included checks for internal consistency, ensuring quantiles followed a valid order and fell within the specified ranges, and checks that ranges and quantiles were within physically reasonable limits. Overlap between expert ranges and the spread of quantiles were also assessed. Experts received training and example judgements, with facilitator oversight supporting adherence to the elicitation protocol.","locations":["POLYGON((-3.58 54.765, -3.58 58.404, 3.059 58.404, 3.059 54.765, -3.58 54.765))"],"metadataDate":"2026-09-22T07:57:47.000Z","organisation":["Biomathematics and Statistics Scotland","UK Centre for Ecology & Hydrology","Norwegian Institute for Nature Research","SLR Consulting Limited","ABP Marine Environmental Research Ltd.","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-09-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8847e78c-8778-474b-b2a2-3931beeb0e1b","10.5285/8847e78c-8778-474b-b2a2-3931beeb0e1b","doi:10.5285/8847e78c-8778-474b-b2a2-3931beeb0e1b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Biomathematics and Statistics Scotland"],"ror":["https://ror.org/03jwrz939","https://ror.org/00pggkr55","https://ror.org/04aha0598","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about outputs of a video-conference expert elicitation exercise carried out in March 2023 to estimate demographic consequences of potential seabird compensatory measures within the context of protected breeding populations in the North…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Demographic consequences of potential seabird compensatory measures relating to protected breeding populations in the North Sea, UK, from an expert elicitation exercise","topic":["0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Jarvis","Arnett","Redhead","Pywell"],"authorFullName":["Jarvis, S.","Arnett, J.","Redhead, J.","Pywell, R."],"authorGivenName":["Susan","Jack","John","Richard"],"authorOrcid":["0000-0001-5382-5135","0000-0002-2233-3848","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"UKCEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland for three time periods (2012-2014, 2016-2018, 2020-2022). The product provides application estimates for 183 different active ingredients including herbicides, insecticides, molluscicides and fungicides. It is produced at a 1km resolution with units of kg active ingredient applied per year. This version of UKCEH Land Cover plus: Pesticides provides average annual application for three different time periods (2012-2014, 2016-2018, 2020-2022), allowing users to assess change in applications over time. This differs from the previous version of UKCEH Land Cover plus: Pesticides which provided a snapshot for a single time period (2012-2017).\n\nPesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, using information from CEH Land Cover® Plus: Crops to determine where each crop is grown. A backcasting method was used to estimate crop cover for the earliest time period. Pesticide application data is provided by the Pesticide Usage Survey. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product builds upon the UKCEH Land Cover® Plus: Crops product.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Arnett","Redhead","Pywell"],"fullName":["Jarvis, S.","Arnett, J.","Redhead, J.","Pywell, R.","Susan Jarvis"],"funder":["Natural Environment Research Council"],"givenName":["Susan","Jack","John","Richard"],"grant":["NE/W005050/1"],"identifier":"d4259244-ce78-4248-811f-216495c32fec","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Mapping","Pollution","plant protection product","herbicide","fungicide","insecticide"],"keywordsOther":["plant protection product","herbicide","fungicide","insecticide"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Pollution"],"licence":"Non-Open government licence","lineage":"The maps use data from the Fera Pesticide Utilisation Surveys (PUS), SASA (Science and Advice for Scottish Agriculture) Pesticide Survey Unit and CEH Land Cover® plus: Crops and have been assessed for quality. Briefly, data on pesticide application rates at county level are interpolated and matched to cropping data to create an estimate of application to each 1km square in England, Scotland and Wales for each time period. For further information, please see the supporting documentation available with this data product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-03T08:56:04.000Z","orcid":["0000-0001-5382-5135","0000-0002-2233-3848","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4259244-ce78-4248-811f-216495c32fec","10.5285/d4259244-ce78-4248-811f-216495c32fec","doi:10.5285/d4259244-ce78-4248-811f-216495c32fec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"UKCEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland for three time periods (2012-2014, 2016-2018, 2020-2022). The product provides application estimates for 183 different active ingredients including herbicides,…","state":"published","temporalExtentText":"Data collected from 2012 to 2022","title":"UKCEH Land Cover plus: Pesticides 2012-2014, 2016-2018 and 2020-2022 (England, Scotland and Wales)","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"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":["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":"2026-07-25T14:52:52.000Z","orcid":["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 Environmental Information Data Centre","NERC EDS 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","temporalExtentText":"Data collected from 2050 to 2050","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":["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":["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.","Adam Jarvis"],"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":"2026-07-25T08:37:44.000Z","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","temporalExtentText":"Data collected from 2020 to 2024","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":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg"],"authorFamilyName":["Tanguy","Bachmair","Stahl","Hannaford"],"authorFullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"authorGivenName":["M.","S.","K.","J."],"authorOrcid":["0000-0002-1516-6834","0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0245cg223"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators:\n - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index);\n - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature);\n - the Vegetation Health Index (VHI) which is a combination of VCI and TCI.\n\nThese three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Bachmair","Stahl","Hannaford"],"fullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"givenName":["M.","S.","K.","J."],"identifier":"5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","incomingCitationCount":1,"keyword":["Environmental risk","Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsOther":["Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Time series for three drought indicators based on remote sensing have been extracted for European NUTS regions (level 0, 1, 2 and 3). The Nomenclature of Territorial Units for Statistics, (NUTS, for the French Nomenclature des unités territoriales statistiques), developed by the European Union, is a geocode standard for referencing the administrative divisions of countries for statistical purposes. A land use mask was applied to extract the time series, to differentiate the contribution of crops, grass, forest and shrubs. There is also one time series for each NUTS region which includes all classes. The land cover product used to produce the mask was remote sensing MODIS product MCD12C1 (year 2012) which has a 0.05 degree resolution. The three drought indicators extracted are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These indicators were first calculated as a gridded product for Europe with a 0.05 degree resolution and monthly time step (2000-2015), using MODIS product MOD13C2 for NDVI, and MODIS product MOD11C3 for LST, following methodology described by Kogan (1995; https://doi.org/10.1016/0273-1177(95)00079-T). The time series were then extracted applying the simplified land use classification mask (crops, forest, grass, shrubs) to each NUTS region, and an additional time series for all classes. For each time step, a value was produced only if at least 50% of the pixels within the non-masked area had valid values.\n\nNOTE: there are two types of \"No Data\" value. Value '--' means there were no pixels with valid values within the non-masked area. Value 'nan' means there were some pixels with valid values within the non-masked area, but these covered less than 50% of the area. These time steps were discarded as less than 50% was considered not representative enough of the whole area.\n","locations":["POLYGON((-15 30, -15 75, 45 75, 45 30, -15 30))"],"metadataDate":"2026-07-24T23:09:00.000Z","orcid":["0000-0002-1516-6834","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","doi:10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has…","state":"published","temporalExtentText":"Data collected from 2000 to 2015","title":"Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?facet=topic%7C0/Environmental%20risk/"}