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Annual estimates, along with their…","state":"published","title":"UKCEH Land Cover plus: Fertilisers 2015-2021 (England)","topic":["0/Agriculture/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Salford","Centre for Ecology & Hydrology","Chornobyl Center for Nuclear Safety, Radioactive Waste and Radioecology"],"authorFamilyName":["Kendrick","Barçante","Beresford","Gashchak","Wood"],"authorFullName":["Kendrick, P.","Barçante, L.","Beresford, N.A.","Gashchak, S.","Wood, M.D."],"authorGivenName":["P.","L.","N.A.","S.","M.D."],"authorOrcid":["https://orcid.org/0000-0002-0714-183X","https://orcid.org/0000-0002-7462-7899","https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-7582-6742","https://orcid.org/0000-0002-0635-2387"],"authorRor":["https://ror.org/01tmqtf75","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Waveform audio file (.wav)"],"description":"Data comprise audio files captured using a Wildlife Acoustics SM3 Songmeter located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens) in the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine. 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Elsevier BV."],"title":"Gridded drought indices based on remote sensing data for Europe (2000-2015)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","White","Fellows","Oliver","Quilliam"],"authorFullName":["Ormsby, M.","Woodford, L.","White, H.","Fellows, R.","Oliver, D.","Quilliam, R."],"authorGivenName":["Michael","Luke","Hannah","Rosie","David","Richard"],"authorOrcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions. The data encompass bacterial strain identity, material type, timepoints (days), bacterial concentration (CFU/ml) and survival percentages. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. The ability of isolates to persist on materials, dissociate from materials into water bodies, and recolonise materials was also determined.\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","White","Fellows","Oliver","Quilliam"],"fullName":["Michael Ormsby","Ormsby, M.","Woodford, L.","White, H.","Fellows, R.","Oliver, D.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["Michael ","Michael","Luke","Hannah","Rosie","David","Richard"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","incomingCitationCount":0,"keyword":["Environmental risk","Climate and climate change","Water quality","Biofilm","Human Pathogens","Plastic Pollution","Plastisphere","Public Health"],"keywordsOther":["Biofilm","Human Pathogens","Plastic Pollution","Plastisphere","Public Health"],"keywordsTheme":["Environmental risk","Climate and climate change","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence, virulence, and survival of clinically relevant strains of toxigenic Vibrio cholerae. Bacteria were cultured on materials (Polyethylene [PE], polypropylene [PP] and banana leaf [BL]) and analysed for persistence over time (up to 28 days) and virulence using Galleria mellonella larvae. Materials (PE, PP and BL) were prepared and inoculated under controlled laboratory conditions. V. cholerae strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days). G. mellonella larvae were used to evaluate virulence, and survival was assessed over 72 h. The experiments utilised standard laboratory equipment such as 96-well plates and incubators. G. mellonella larvae were sourced from a local supplier and used within one week of delivery. 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":"2026-06-29T16:46:44.000Z","orcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0002-6200-562X","https://orcid.org/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/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","10.5285/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","doi:10.5285/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions. The data encompass bacterial strain identity, material type,…","state":"published","title":"Survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions","topic":["0/Environmental risk/","0/Climate and climate change/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Sayers and Partners Consultancy"],"authorFamilyName":["Griffin","Kay","Bell","Stewart","Sayer","Carr"],"authorFullName":["Griffin, A.","Kay, A.","Bell, V.A.","Stewart, E.J.","Sayer, P.","Carr, S."],"authorGivenName":["A.","V.A.","E.J.","P.","S."],"authorOrcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-4246-6645","https://orcid.org/0000-0003-2160-1959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile"],"description":"This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated annual probability of exceedance for each 1km grid-square on the GB river network. The data is extracted from daily time series data from the Grid-to-Grid model, using UKCP18 12km regional projections from 12 members of a perturbed parameter ensemble, over the periods Dec 1980 – Nov 2010 and Dec 2050 – Nov 2080 (based on 360-day years). Multi-day events were summarised by taking cell-wise flow maxima. \n\nThis data was generated for use in analysis of risk through catastrophe modelling using the Future Flows Explorer. It was generated and interpreted by UKCEH, working with Sayers & Partners Consultancy, as part of the AquaCAT project, part of the UK Climate Resilience Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Kay","Bell","Stewart","Sayer","Carr"],"fullName":["Griffin, A.","Kay, A.","Bell, V.A.","Stewart, E.J.","Sayer, P.","Carr, S."],"givenName":["Adam","A.","V.A.","E.J.","P.","S."],"identifier":"26ce15dd-f994-40e0-8a09-5f257cc1f2ab","incomingCitationCount":2,"keyword":["Hydrology","Environmental risk","Flood frequency"],"keywordsOther":["Flood frequency"],"keywordsTheme":["Hydrology","Environmental risk"],"licence":"Open government licence","lineage":"Hydrological flow records were generated using Grid-to-Grid and UKCP18 12km regional projections. Widespread events were selected for which daily flow exceeded a 99.5% percentile simultaneously over at least 20km^2. Multi-day events (consecutive days for which the above conditions were met) are summarised by pointwise maxima of flow.\n\nProbabilities of exceedance are computed pointwise using a mixed distribution, with an empirical distribution used for non-extreme values (below the 99.5% percentile) and a Generalised Pareto distribution used above, both fitted to the full time series of daily flow.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:19:23.000Z","orcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-4246-6645","https://orcid.org/0000-0003-2160-1959"],"organisation":["UK Centre for Ecology & Hydrology","Sayers and Partners Consultancy","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26ce15dd-f994-40e0-8a09-5f257cc1f2ab","10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab","doi:10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Sayers and Partners Consultancy"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated…","state":"published","title":"Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L.J.","K.","G.","F.","D.E.L.","R.","B.V."],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset maps the potential vulnerability to Phytophthora pinifolia infection for 82 core fragments of the Caledonian Pinewood Inventory (CPI) in Scotland. Fragment risk scores integrate climate suitability for pathogen growth, proximity to other pine fragments and inspected premises and recent planting under forestry grant schemes. Data and models used to assess risks are variable in their time frames, but are broadly representative of the period from 2013 to 2023. The risk maps for Caledonian Pine assess the vulnerability of CPI fragments, if P. pinifolia were to arrive, and the most probable areas of introduction and establishment. P. pinifolia has not been detected in the UK but is on the UK Plant Health Risk Register. All known host species are within the genus Pinus, either recorded as naturally occurring disease affecting the shoots and needles of Pinus radiata, or established through pathogenicity trials on other species within the genus, albeit with varying levels of susceptibility. The only known source region for the pathogen is Chile. P. pinifolia has been ranked 8th among Phytophthora species mostly likely to arrive among the 109 Phytophthora species assessed, with this higher risk predominantly driven by the model component describing climatic similarity between forest, agricultural and urban habitats in Chile and the UK. A Rapid Pest Risk Analysis for P. pinifolia considered it unlikely to enter the UK due to restrictions on import of living pine species from non-EU countries, though transport may still be possible with other, unknown, hosts.","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council"],"givenName":["L.J.","K.","G.","F.","D.E.L.","R.","B.V."],"grant":["NE/V019813/1"],"identifier":"ddee75ae-2ad0-4d16-81a9-20928d89e872","incomingCitationCount":1,"keyword":["Scotland","Environmental risk","exotic species","forest pest","forestry","habitat","pathogenic organism","phytopathology","risk assessment"],"keywordsOther":["exotic species","forest pest","forestry","habitat","pathogenic organism","phytopathology","risk assessment"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland's plant health sector including forestry, conservation, horticulture, and government agencies. Risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. Overall risk scores integrate climate suitability (using pathogen-specific temperature-dependent growth curves and relative humidity thresholds), with proximity to other pine fragments, inspected premises and planting under forestry grant schemes. As agreed in the first workshop, climate suitability was given the greatest weight in the scoring of the risk factors. Due to the absence of any P. pinifolia detections in the UK, the spatial risk frameworks exclude proximity to infected areas. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of pathogen-specific climate suitability models has been attempted for other Phytophthora species using independent UK and European detections, but is not possible for P. pinifolia as the pathogen has not been detected in Europe.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:26:41.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ddee75ae-2ad0-4d16-81a9-20928d89e872","10.5285/ddee75ae-2ad0-4d16-81a9-20928d89e872","doi:10.5285/ddee75ae-2ad0-4d16-81a9-20928d89e872"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset maps the potential vulnerability to Phytophthora pinifolia infection for 82 core fragments of the Caledonian Pinewood Inventory (CPI) in Scotland. Fragment risk scores integrate climate suitability for pathogen growth, proximity to other pine fragments…","state":"published","title":"Spatial risk analysis for Phytophthora pinifolia infection of Caledonian Pinewood Inventory fragments in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["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":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"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":"2026-06-29T18:02:32.000Z","orcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"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","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":["University of Exeter","AECOM"],"authorFamilyName":["Abancó","Jones"],"authorFullName":["Abancó, C.","Jones, J.N."],"authorGivenName":["C.","J.N."],"authorOrcid":["https://orcid.org/0000-0002-2169-5409","https://orcid.org/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":"2026-06-29T15:39:53.000Z","orcid":["https://orcid.org/0000-0002-2169-5409","https://orcid.org/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","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":["Radboud University","University of Southampton"],"authorFamilyName":["Robroek","Shepherd","Steele","Dumont"],"authorFullName":["Robroek, B.J.M.","Shepherd, H.E.R.","Steele, M.N.","Dumont, M.G."],"authorGivenName":["B.J.M.","H.E.R.","M.N.","M.G."],"authorOrcid":["https://orcid.org/0000-0002-6714-0652","https://orcid.org/0000-0002-7077-3581","https://orcid.org/0000-0001-9949-225X","https://orcid.org/0000-0002-7347-8668"],"authorRor":["https://ror.org/016xsfp80","https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018.\n\nThe sample plots included areas with deep and shallow peat burn. The data includes geographical information (location, elevation and slope), soil temperature and soil chemical composition (carbon, nitrogen and 22 other elements).\n\nThe dataset is the result of research funded by a NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands).","documentType":"GEMINI_DOCUMENT","familyName":["Robroek","Shepherd","Steele","Dumont"],"fullName":["Robroek, B.","Robroek, B.J.M.","Shepherd, H.E.R.","Steele, M.N.","Dumont, M.G."],"funder":["Natural Environment Research Council"],"givenName":["Bjorn","B.J.M.","H.E.R.","M.N.","M.G."],"grant":["NE/S011943/1"],"identifier":"1fa8d605-b996-4687-ace2-1fa59cd5c6dd","incomingCitationCount":0,"keyword":["Environmental risk","Soil","Blanket bog","Moorland","Peatland","Wildfire","Soil biochemistry","Soil edaphics","bog","fire","soil","soil chemistry"],"keywordsOther":["Blanket bog","Moorland","Peatland","Wildfire","Soil biochemistry","Soil edaphics","bog","fire","soil","soil chemistry"],"keywordsTheme":["Environmental risk","Soil"],"licence":"Open government licence","lineage":"We established ten plots in October 2018 at the post-fire site. Each plot was 10 m x 10 m in size. We identified five of these plots as suffering a less severe (shallow) burn. The other 5 plots were in areas where a more severe (deep) burn was identified. In all plots the surface vegetation had been removed by the fire exposing the bare peat. We determined the geographical properties of each plot. This included their geographical location, elevation and slope. We also measured soil temperature at each location at multiple time points over the following 24-months.\n\nOn July 23rd 2019 we extracted small peat samples from the surface of each plot. Each sample was 5 cm x 5 cm in diameter and 2 cm in depth. The samples were homogenised and kept at c. 5 deg C until further analysis was completed to determine their chemical composition. In preparation for the chemical analysis of each sample we dried the peat at 70 deg C for 72 hours. This was then crushed forming a fine homogenous powder.\n\nTo determine the carbon and nitrogen content of each sample we extracted three sub-samples of the fine peat powder. Each sample was then combusted at 1800 deg C and the percentage of carbon and nitrogen released was quantified. This was performed using a Vario Micro Cube (Elementar). For each plot, the content of each sub-sample was compared to ensure that the observed values were consistent, and the samples were homogenous. An average of the three sub-samples was then taken to provide one value per plot.\n\nTo determine the composition of other elements within the samples, we extracted two sub-samples from each plot sample and performed Inductively Coupled Plasma-Mass-Spectrometry (ICP-MS) analysis on each of the sub-samples. This was used to determine the relative composition of 22 elements. For each plot, an average of the two sub-samples was taken.","locations":["POLYGON((-1.966 53.543, -1.966 53.546, -1.942 53.546, -1.942 53.543, -1.966 53.543))"],"metadataDate":"2026-06-29T17:13:43.000Z","orcid":["https://orcid.org/0000-0002-6714-0652","https://orcid.org/0000-0002-7077-3581","https://orcid.org/0000-0001-9949-225X","https://orcid.org/0000-0002-7347-8668"],"organisation":["Radboud University","University of Southampton","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1fa8d605-b996-4687-ace2-1fa59cd5c6dd","10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd","doi:10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd"],"resourceType":"Dataset","rightsHolder":["Radboud University"],"ror":["https://ror.org/016xsfp80","https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018.\n\nThe…","state":"published","title":"Biogeochemical and edaphic data from burned peat soil on the Stalybridge estate (UK), October 2018","topic":["0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"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":["https://orcid.org/0000-0003-4732-2376","https://orcid.org/0000-0002-9775-3601","https://orcid.org/0000-0002-1513-7240","https://orcid.org/0009-0007-4641-6078","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0002-0830-1196","https://orcid.org/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":["Emilie Cremin","Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L."],"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":["Environmental risk","Ecosystem services","Modelling","Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity","Vietnam","Bangladesh","India","Mekong River Delta","Red River Delta","Ganges Brahmaputra Meghna Delta"],"keywordsOther":["Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity","Vietnam","Bangladesh","India","Mekong River Delta","Red River Delta","Ganges Brahmaputra Meghna Delta"],"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((104.658 8.485, 104.658 11.018, 107.275 11.018, 107.275 8.485, 104.658 8.485))","POLYGON((105.415 19.901, 105.415 21.391, 107.284 21.391, 107.284 19.901, 105.415 19.901))","POLYGON((87.654 21.638, 87.654 23.565, 89.127 23.565, 89.127 21.638, 87.654 21.638))","POLYGON((88.715 21.442, 88.715 24.176, 91.947 24.176, 91.947 21.442, 88.715 21.442))"],"metadataDate":"2026-07-07T08:15:59.000Z","orcid":["https://orcid.org/0000-0003-4732-2376","https://orcid.org/0000-0002-9775-3601","https://orcid.org/0000-0002-1513-7240","https://orcid.org/0009-0007-4641-6078","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0002-0830-1196","https://orcid.org/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","Newcastle University","NERC EDS Environmental Information Data Centre"],"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/01kj2bm70","https://ror.org/04xw4m193"],"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 Oxford","Brunel University of London","Lancaster University"],"authorFamilyName":["Yang","Ng","Thompson","Tsui","Zhang","Nair","Qiu","Ingram","Zurek","Gupta","Hasnain","Surridge"],"authorFullName":["Yang, A.","Ng, K.S.","Thompson, I.","Tsui, T.T.","Zhang, W.","Nair, P.","Qiu, S.","Ingram, J.","Zurek, M.","Gupta, B.","Hasnain, S.","Surridge, B."],"authorGivenName":["A.","K.S.","I.","T.T-H.","W.","P.","S.","J.","M.","B."],"authorOrcid":["https://orcid.org/0000-0001-5974-247X"],"authorRor":["https://ror.org/052gg0110","https://ror.org/00dn4t376","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Yang","Ng","Thompson","Tsui","Zhang","Nair","Qiu","Ingram","Zurek","Gupta","Hasnain","Surridge"],"fullName":["Yang, A.","Ng, K.S.","Thompson, I.","Tsui, T.T.","Zhang, W.","Nair, P.","Qiu, S.","Ingram, J.","Zurek, M.","Gupta, B.","Hasnain, S.","Surridge, B."],"funder":["Natural Environment Research Council"],"givenName":["A.","K.S.","I.","T.T-H.","W.","P.","S.","J.","M.","B."],"grant":["NE/W004976/1"],"identifier":"df329c40-cd4d-48d9-90d7-968f69df2279","incomingCitationCount":0,"keyword":["Environmental risk","Environmental survey","Material Flow Analysis","organic waste","nutrient"],"keywordsOther":["Material Flow Analysis","organic waste","nutrient"],"keywordsTheme":["Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"The dataset was generated through material flow analysis (MFA), which was based on the Environment Agency’s waste flow dataset for the year of 2019.","locations":["POLYGON((-1.593 52.349, -1.593 52.975, -0.637 52.975, -0.637 52.349, -1.593 52.349))"],"metadataDate":"2026-06-29T18:14:42.000Z","orcid":["https://orcid.org/0000-0001-5974-247X"],"organisation":["University of Oxford","Brunel University of London","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/df329c40-cd4d-48d9-90d7-968f69df2279","10.5285/df329c40-cd4d-48d9-90d7-968f69df2279","doi:10.5285/df329c40-cd4d-48d9-90d7-968f69df2279"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/00dn4t376","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019.","state":"published","title":"Annual flow data of municipal organic waste and nutrients, Leicestershire, UK, 2019","topic":["0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Hull","Newcastle University","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari"],"authorFamilyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"authorFullName":["Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"authorGivenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"authorOrcid":["https://orcid.org/0000-0003-3547-3791"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/01kj2bm70","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future coastal change scenarios (short-, medium-, and long-term), and is sortable based on the overall risk score for each climate scenario.","documentType":"GEMINI_DOCUMENT","familyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"fullName":["Adam Jarvis","Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"funder":["Natural Environment Research Council"],"givenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"grant":["NE/T003286/1","NE/T003022/1","NE/T002824/1","NE/T003200/1"],"identifier":"2501589d-1a13-4e6e-a25b-b74993c5b758","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","Environmental risk","coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsOther":["coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsTheme":["Climate and climate change","Environmental survey","Environmental risk"],"licence":"Non-Open government licence","lineage":"A combination of publicly available and proprietary shapefiles of waste deposits were analysed using GIS methods. Output data were then fed into a prioritisation method based on source-pathway-receptor models. A suite of spatial data has been integrated in order to score potential risks associated with waste type (Source), likelihood of pollutant release relating to current and future flood and erosion climate projections, alongside current management infrastructure (Pathway), and proximity to sensitive ecological features or proxies of human use in coastal areas (Receptors).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:16:28.000Z","orcid":["https://orcid.org/0000-0003-3547-3791"],"organisation":["Newcastle University","University of Hull","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2501589d-1a13-4e6e-a25b-b74993c5b758","10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758","doi:10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future…","state":"published","supplementalDescription":["Riley AL, Amezaga J, Burke IT, Byrne P, Cooper N, Crane RA, Comber SDW, Gandy CJ, Hudson-Edwards KA, Jennings E, Lewis E, Lofts S, MacDonald JM, Malcolm H, Mayes WM, Onnis P, Olszewska J, Spears B and Jarvis AP (2022) Incorporating conceptual site models into national-scale environmental risk assessments for legacy waste in the coastal zone. Front. Environ. Sci. 10:1045482. doi: 10.3389/fenvs.2022.1045482"],"title":"List of legacy waste deposits (including historical landfill sites) across England and Wales, ranked by environmental risk to the coastal environment under future climate scenarios","topic":["0/Climate and climate change/","0/Environmental survey/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Ukrainian Institute of Agricultural Radiology (UIAR)","Centre for Ecology & Hydrology"],"authorFamilyName":["Kashparov","Levchuk","Zhurba","Protsak","Beresford","Chaplow"],"authorFullName":["Kashparov, V.","Levchuk, S.","Zhurba, M.","Protsak, V.","Beresford, N.A.","Chaplow, J.S."],"authorGivenName":["V.","S.","M.","N.A.","J.S."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear power plant (ChNPP) in 1987 following the Chernobyl nuclear accident on 26th April 1986.\nThe work was carried out by the Ukrainian Institute of Agricultural Radiology (UIAR), a division of National University of Life and Environmental Sciences of Ukraine. Funding for preparing this data set was provided by the TREE project (funded by NERC, the Environment Agency and Radioactive Waste Management Ltd under the RATE programme) and associated iCLEAR projects (funded by NERC).\n","documentType":"GEMINI_DOCUMENT","familyName":["Kashparov","Levchuk","Zhurba","Protsak","Beresford","Chaplow"],"fullName":["Kashparov, V.","Levchuk, S.","Zhurba, M.","Protsak, V.","Beresford, N.A.","Chaplow, J.S.","Chaplow, J."],"givenName":["V.","S.","M.","N.A.","J.S.","Jacky"],"identifier":"a408ac9d-763e-4f4c-ba72-73bc2d1f596d","incomingCitationCount":1,"keyword":["Chornobyl","Chernobyl","Ukraine","Radioecology","Soil"],"keywordsPlace":["Chornobyl","Chernobyl","Ukraine"],"keywordsTheme":["Radioecology","Soil"],"licence":"Open government licence","lineage":"A radial network of sample points every 10° (from 10° tо 360° clockwise) at distances of 5, 6, 7, 8.3, 10, 12, 14.7, 17, 20, 25, 30, 37.5, 45, 52.5 and 60 km from the Chernobyl nuclear power plant (resulting in 540 sample points) was established in April-May 1987. Geo-referencing of sampling points was performed using maps and topography. \nSamples were collected from all sampling points except those located in swamps, rivers and lakes; in total 489 of the 540 selected points were sampled.  Soils were sampled using a corer with a diameter of 14 cm and depth of 5 cm. Equivalent dose rate was measured at a height of 1 m above ground at each sampling point. At each sampling site, soil samples were collected from five points using an envelope sampling design (with approximately 5-10 m between sampling points). Each soil sample was retained intact within the corer during transportation to maintain sample integrity and prevent mixing.\nOne soil sample from each sampling site was analysed in a 1 litre Marinelli container by the UIAR laboratory using a high-purity germanium detector (GEM-30185, ORTEC, USA) and a multichannel analyser “ADCAM-300” (ORTEC, USA) to determine the concentrations of gamma-emitting radionuclides (95Zr+95Nd, 106Ru, 134,137Cs, 144Ce). A 100 g aliquot of soil was leached using 1M NH4Ac solution at pH 7 (solid: liquid ratio 1:5). The soil-extractant solution was shaken for 1 hour and then left for 1 day at room temperature. The solution was then filtered through medium ashless filter papers (3-5 µm) and put into a suitable container for analysis on a Ge-detector to determine the fraction of exchangeable 134,137Cs. \nRadionuclide activity concentrations in soils were used to calculate the density of soil contamination (1 Ci km-2= 37 kBq m-2) taking into account the area sampled (0.015 m2). Measured activity concentrations were reported at the 68% confidence level (i.e. one standard deviation). It has been estimated that when one discrete soil sample (area of sampling 0.015 m2) is used to estimate a value of average contamination density of the sampling site  (i.e. the area over which the five cores were collected) the uncertainty may be up to 50%.\n","locations":["POLYGON((30.16 51.27, 30.16 51.558, 29.681 51.558, 29.681 51.27, 30.16 51.27))"],"metadataDate":"2026-06-29T16:38:52.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["Ukrainian Institute of Agricultural Radiology (UIAR)","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-09-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a408ac9d-763e-4f4c-ba72-73bc2d1f596d","10.5285/a408ac9d-763e-4f4c-ba72-73bc2d1f596d","doi:10.5285/a408ac9d-763e-4f4c-ba72-73bc2d1f596d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear…","state":"published","supplementalName":["iCLEAR website","TREE website"],"title":"Spatial radionuclide deposition data from the 60 km radial area around the Chernobyl nuclear power plant, 1987","topic":["0/Radioecology/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorGivenName":["J.S.","Nick A.","C.L."],"authorOrcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Chaplow","Barnett"],"fullName":["Beresford, N.A.","Chaplow, J.S.","Barnett, C.L."],"givenName":["Nick A.","J.S.","C.L."],"identifier":"d0a6a8bf-68f0-4935-8b43-4e597c3bf251","incomingCitationCount":3,"keyword":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone","Pollution","Radioecology","radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsOther":["radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsPlace":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"Vegetation was clipped from 1 metre squared quadrats to a height of 1 centimetre above ground level. Samples were dried at 80 degrees centigrade, weighed, ground and counted in plastic containers (130 millilitre) on a NaI(T1) detector to determine the radiocaesium activity. The most active samples were recounted on a high resolution germanium detector. Soil type was noted at each site (Soil survey 1983). Soil samples were allocated to a series of textural categories (Clay (particles of less than 2 m in diameter); Silt (particles of 2-40 micron diameter); Sand (particles of 50 micron -2millimetre diameter); Organic (humified plant material); Loam (significant quantities of material from 3 or more categories). Soil pH was determined using an antimony electrode pH meter. Animal samples consisted of necks and rumen contents from 70 red deer (Cervus elaphus), whole bodies of three species of lagomorphs (25 rabbits (Oryctolagus cuniculus) and 2 black hares (Lepus capensis), two species of grouse (13 red grouse (Lagopus lagopus), 4 black game (Tetrao tetrix), and 22 foxes (Vulpes vulpes) totalling 141 flesh and 94 gut samples. Samples of flesh were removed from the neck of the deer, from the legs and back of the hares, rabbits and foxes, and from the breast muscle of the grouse. These were weighed fresh and placed in standard counting containers which were kept in a deep freeze until required for analysis. Each sample was thawed for 24 hours prior to counting. Samples were analysed by high resolution gamma spectrometry using either hyperpure germanium or germanium lithium detectors with relative efficiencies of 20 to 25 percent. Counting times varied between 25k to 80k seconds. Detectors were calibrated. The column headings for Easting, Northing and Sampling_date' in dataset 4 are labelled incorrectly. The correct order should be column C Sampling_date, column D Easting, column E Northing.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:41:20.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409748590053","CEH:EIDC::1409748590053","https://catalogue.ceh.ac.uk/id/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","doi:10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology…","state":"published","supplementalDescription":["Howard, B. J., Beresford, N. A., Burrow, L., Shaw, P. V., & Curtis, E. J. C. (1987). A comparison of caesium 137 and 134 activity in sheep remaining on upland areas contaminated by Chernobyl fallout with those removed to less active lowland pasture. Journal of the Society for Radiological Protection, 7(2), 71-73.","Horrill, A.D.; Howard, D.M. (1991).  Chernobyl fallout in three areas of upland pasture in West Cumbria. Journal of Radiological Protection, 11 (4). 249-257. ","Howard, B. J., & Beresford, N. A. (1989). Chernobyl radiocaesium in an upland sheep farm ecosystem. British Veterinary Journal, 145(3), 212-219. ","Dighton, J., & Horrill, A. D. (1988). Radiocaesium accumulation in the mycorrhizal fungi Lactarius rufus and Inocybe longicystis, in upland Britain, following the Chernobyl accident. Transactions of the British Mycological Society, 91(2), 335-337. ","Horrill, A.D.; Lowe, V.W.; Howson, G.. 1988 Chernobyl fallout in Great Britain. Final report. NERC/Institute of Terrestrial Ecology, 55pp. (T07006e1) (Unpublished)","Beresford, N. A., Howard, B. J., Barnett, C. L., & Crout, N. M. J. (1992). The uptake by vegetation of chernobyl and aged radiocaesium in upland West Cumbria. Journal of Environmental Radioactivity, 16(2), 181-195. ","Howard B. J.; Beresford, N. A.; Hove, K. (1991).  Transfer of Radiocaesium to Ruminants in Natural and Semi-natural Ecosystems and Appropriate Countermeasures. Health Physics 61, 6.","Wright, S. M., Smith, J. T., Beresford, N. A., & Scott, W. A. (2003). Monte-Carlo prediction of changes in areas of west Cumbria requiring restrictions on sheep following the Chernobyl accident. Radiation and Environmental Biophysics, 42(1), 41-47. ","Smith, J. T., Comans, R. N. J., Beresford, N. A., Wright, S. M., Howard, B. J., & Camplin, W. C. (2000). Chernobyl's legacy in food and water. Nature, 405(6783), 141-141. ","Beresford, N. A., Barnett, C. L., Wright, S. M., Howard, B. J., & Crout, N. M. J. (2007). Factors contributing to radiocaesium variability in upland sheep flocks in west Cumbria (United Kingdom). Journal of Environmental Radioactivity, 98(1-2), 50-68. "],"supplementalName":["Journal paper"],"title":"Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"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":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/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.","Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"givenName":["Jacky","J.S.","N.A.","C.L."],"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":"2026-06-27T14:16:22.000Z","orcid":["https://orcid.org/0000-0002-8058-8697","https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"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","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":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L.","K.","G.","F.","D.E.L","R.","B.V"],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate suitability (using pathogen-specific temperature-dependent growth curves and a relative humidity threshold), proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder under forestry grant schemes. Data and models used to score risk factors are variable in their time frames, but are broadly representative of the period from 2013 to 2023. Phytophthora disease of alder has been widespread in southern England since at least 1995 and became more prevalent in annual surveys between 1994 and 2003. It has been confirmed at several riparian sites in Scotland. P. x alni diseases are reported only from the alder genus.","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L.","K.","G.","F.","D.E.L","R.","B.V"],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","incomingCitationCount":0,"keyword":["Scotland","Environmental risk","Environmental survey","biodiversity","exotic species","forest","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","Alnus glutinosa","Alnus cordata","Alnus incana"],"keywordsOther":["biodiversity","exotic species","forest","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","Alnus glutinosa","Alnus cordata","Alnus incana"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland's plant health sector representing forestry, conservation, horticulture, and government agencies through a semi-structured process of survey and workshops. Fragments containing alder species were extracted from the National Forest Estate Sub-compartments 2019, Native Woodland Survey of Scotland and global database of host-Phytophthora detections, removing any felled areas since 2013 using the National Forest Inventory. Key risk factors (climate suitability, proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder) and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. 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 has been attempted using independent UK and European detections of Phytophthora x alni.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-09T09:07:03.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","doi:10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate…","state":"published","title":"Spatial risk analysis for Phytophthora x alni infection of alder fragments in Scotland","topic":["0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo"],"authorFamilyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"authorGivenName":["L.","J.","K.N.","Y.","D."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods are estimated using CMIP6 projections and subsequently used to extract flood maps from a global flood model.","documentType":"GEMINI_DOCUMENT","familyName":["Hawker","Neal","Pham","Hirabayashi","Yamazaki"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N.","Hirabayashi, Y.","Yamazaki, D."],"funder":["Natural Environment Research Council"],"givenName":["L.","J.","K.N.","Y.","D."],"grant":["NE/S3003061/1"],"identifier":"0d5d69ae-7f50-40ee-a0c9-2522de138f27","incomingCitationCount":0,"keyword":["Vietnam","Hydrology","Climate and climate change","Environmental risk","Flood Risk","Future Flood Risk","flood","climate change"],"keywordsOther":["Flood Risk","Future Flood Risk","flood","climate change"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Hydrology","Climate and climate change","Environmental risk"],"licence":"Open government licence","lineage":"This version of the global flood model develops that of Sampson et al (2015) by including an improved method to estimate channel conveyance (Neal et al., 2021) and an improved elevation dataset (Yamazaki et al., 2017).","locations":["POLYGON((98.613 5.504, 98.613 25.573, 114.609 25.573, 114.609 5.504, 98.613 5.504))"],"metadataDate":"2026-06-29T16:47:29.000Z","orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","University of Economics Ho Chi Minh city","Shibaura Institute of Technology","University of Tokyo","NERC EDS Environmental Information Data Centre","Fathom"],"publicationDate":"2022-11-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d5d69ae-7f50-40ee-a0c9-2522de138f27","10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27","doi:10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27"],"resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/010yce376","https://ror.org/020wjcq07","https://ror.org/057zh3y96","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods…","state":"published","supplementalName":["Hirabayashi et al., 2021","Sampson et al., 2015","Neal et al., 2021","Yamazaki et al., 2017"],"title":"Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100 ","topic":["0/Hydrology/","0/Climate and climate change/","0/Environmental risk/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V. C."],"identifier":"7c3ad803-fbd4-45c3-826b-fa04c902ded8","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":" This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 37 farms including date, eartag numbers of animals in the immediate environment, sample type and descriptive location. 2. Records of microbiological analyses of the samples to identify those containing E. coli resistant to amoxicillin, cephalexin and/or tetracycline.  3. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-06-27T18:17:31.000Z","orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8","10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8","doi:10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin,…","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Woodcock","Pywell"],"authorFullName":["Woodcock, B.A.","Pywell, R.F."],"authorGivenName":["B.A.","R.F."],"authorOrcid":["https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes an experimental test of potential over yielding effects on fruit set and average fruit size for tomato plants grown in the presence of three pollinator combinations: (1) the bumblebee Bombus terrestris (2) Lasioglossum spp. and (3) and additive combination of B. terrestris and Lasioglossum spp. \n\nThe experimental design includes no pollinator controls nested within individual tomato plants exposed to the above pollinator species treatment combinations.  This research was undertaken in 2017 and funded though a UKCEH Commercial Innovation Fund (National Capability) project supported by the Natural Environmental Research Council (Project NEC06344).","documentType":"GEMINI_DOCUMENT","familyName":["Woodcock","Pywell"],"fullName":["Woodcock, B.","Woodcock, B.A.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["Ben","B.A.","R.F."],"identifier":"94925db4-eeeb-4f3d-ae19-42a3380636e5","incomingCitationCount":0,"keyword":["Agriculture","Biodiversity","Environmental risk","Pollinators","bumblebee","Bombus terrestris","bees","Lasioglossum pauxillum","Lasioglossum malachurum"],"keywordsOther":["bumblebee","Bombus terrestris","bees","Lasioglossum pauxillum","Lasioglossum malachurum"],"keywordsTheme":["Agriculture","Biodiversity","Environmental risk","Pollinators"],"licence":"Open government licence","lineage":"Three treatment combinations of bee pollinators foraging on tomatoes were compared: \n  1) B. terrestris alone (a single 30-40 worker colony);\n  2) Lasioglossum spp. alone, predominantly malachurum but with some pauxillum);\n  3) a combination of B. terrestris (a single 30-40 worker colony) and Lasioglossum spp.. \n\nAll experiments were undertaken under field conditions within three, 2 x 3 m net cages designed to hold free flying bees.   B. terrestris colonies were obtained as commercially available stock (Biobest Ltd) but there is no equivalent for Lasioglossum spp..  To address this resident populations of L. malachurum and L. pauxillum were identified. These were found on bare and compacted soil oil of arable field corners.  Over populations of Lasioglossum spp. two net cages were established, with a third in close proximity although not covering populations of the Lasioglossum spp..  Into this latter cage a B. terrestris colony (30-40 workers) was established.  A further B. terrestris colony (30-40 workers) was allowed to forage in one of the cages covering Lasioglossum nests (Treatment 3), while the other was left without such a colony (Treatment 2).   Population density of Lasioglossum in both cages was broadly equivalent, with c. 4.2 (± 0.8) nest borrows m-2.  Treatment combinations were additive in terms of bee density reflecting likely practice under greenhouse growing conditions.  Nets were only positioned over supporting cages on days when the experiment was being undertaken, to prevent starving of wild Lasioglossum populations.  \n\nAs tomato plants produce no nectar it was necessary to cage a small quantity of Asteraceae garden plants to provide a nectar source for the bees. Experimental tomato plants (var. 'Moneymaker') were established under controlled greenhouse conditions where pollinators were excluded and were translocated to the experimental site when they had multiple flowering stems.  Assessments were restricted to the first five mature flowers on each stem; subsequent flowers were removed. On each plant two flowering stems were selected, one was left open to pollination in the cages with treatments 1-3, the other was treated as a control and covered in a small net bag to prevent access by pollinators.   Batches of five plants were placed in each of the three cages for a four-day period, with this repeated four times.  After each period of exposure all plants were returned to greenhouse conditions and left to mature.  When tomatoes had reached the same point of maturation (deep red colour) the number of fruits produced was counted (out of a maximum of five  per stem) and the individual mass of each fruit was determined.","locations":["POLYGON((-1.196 51.632, -1.196 51.634, -1.195 51.634, -1.195 51.632, -1.196 51.632))"],"metadataDate":"2026-06-29T18:24:45.000Z","orcid":["https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-08-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94925db4-eeeb-4f3d-ae19-42a3380636e5","10.5285/94925db4-eeeb-4f3d-ae19-42a3380636e5","doi:10.5285/94925db4-eeeb-4f3d-ae19-42a3380636e5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes an experimental test of potential over yielding effects on fruit set and average fruit size for tomato plants grown in the presence of three pollinator combinations: (1) the bumblebee Bombus terrestris (2) Lasioglossum spp. and (3) and additive…","state":"published","title":"Pollination of tomatoes by the bees Bombus terrestris and Lasioglossum spp.","topic":["0/Agriculture/","0/Biodiversity/","0/Environmental risk/","0/Pollinators/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=2&facet=topic%7C(0/Radioecology/%20OR%200/Environmental%20risk/)"}