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D.I."],"authorGivenName":["N.","J.T.","A.","L.L.","D.I."],"authorOrcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"authorRor":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms along a gradient of radiation contamination. Five different morphological characters were measured and fluctuating asymmetry (right side minus left side) was calculated. Fluctuating asymmetry was calculated here as FA2: [|R-L|/(R+L)/2)] where R and L represent measurements in micrometres for right and left sides of the five morphological characters. Number of segments represents raw right minus left data for the number of antennal segments and is thus provided in a separate column. All data provided are means of two independent measurements. In addition, a measure of environmental factors and total dose rates are also provided in this dataset. Blank cells indicate where no data was available.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"funder":["Natural Environment Research Council"],"givenName":["Neil","N.","J.T.","A.","L.L.","D.I."],"identifier":"47f036c4-e319-4825-9cb8-f27977eb20dd","incomingCitationCount":1,"keyword":["Radioecology","Asellus aquaticus"],"keywordsOther":["Asellus aquaticus"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"The data comprises a series of experiments to assess the impacts of chronic radiation exposure at Chernobyl on the development, reproduction and genetic diversity of the freshwater crustacean, Asellus aquaticus. Field samples were collected from six lakes of varying contamination in Belarus and the Ukraine in 2015 and 2016 using kick netting and immediately preserved in ethanol and returned to the Institute of Marine Sciences, University of Portsmouth. Development was assessed using the fluctuating asymmetry technique, which assesses deviations from the expected perfect bilateral symmetry of an organism. Presented data is the results of the FA2 assay: FA2 = mean [| R − L | / (R + L) / 2)] where R and L represent measures of the right and left side of the organism in µm respectively. Measurements were conducted blind using Image J (v1.48) on randomly coded images obtained using a Leica DFC130 camera. Data is provided for two sampling periods; 2015 and 2003-2005 (conducted by colleagues at the Belarusian National Academy of Sciences).  Reproduction was assessed by analysis of fecundity and the proportion of gravid females at each site. Data presented includes number of eggs, weight of eggs (in milligrams), female weight (in milligrams), weight-normalised egg numbers (in milligrams) and sampling dates. Weights were obtained using a Kern ABT 120-5DM analytical fine balance with a precision of ± 0.02 mg. Data is presented from two sampling years at six sites of varying contamination. Dose rates are also provided, calculated using ERICA based on deposition values at the corresponding site. Finally, genetic diversity was calculated following genotyping-by-sequencing analysis conducted at the genomic diversity facility, Cornell University, New York. Data provided includes a number of routinely used genetic diversity parameters calculated at both the individual level (inbreeding coefficient, F, observed and expected heterozygosity) and population level (Tajima’s D & Nucleotide Diversity). This data was generated using the UNEAK pipeline within TASSEL software (v 3.0) by bioinformatics analysists at Cornell University. Tajima’s D & Nucleotide were calculated using the PopGenome package in R Studio. ","locations":["POLYGON((30.042 50.912, 30.042 51.131, 30.602 51.131, 30.602 50.912, 30.042 50.912))"],"metadataDate":"2026-06-29T16:16:20.000Z","orcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"organisation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f036c4-e319-4825-9cb8-f27977eb20dd","10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd","doi:10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms…","state":"published","supplementalDescription":["Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250. ","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55–67.","Fuller, N., Ford, A.T., Nagorskaya, L.L., Gudkov, D.I., & Smith, J.T. (2018). Reproduction in the freshwater crustacean Asellus aquaticus along a gradient of radionuclide contamination at Chernobyl. Science of The Total Environment, 628–629, 11–17"],"title":"Impacts of chronic radiation exposure on reproduction, development and genetic diversity of the freshwater crustacean Asellus aquaticus at Chernobyl","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L.J.","K.","G.","F.","D.E.L.","R.","B.V."],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset maps the potential vulnerability to Phytophthora pinifolia infection for 82 core fragments of the Caledonian Pinewood Inventory (CPI) in Scotland. Fragment risk scores integrate climate suitability for pathogen growth, proximity to other pine fragments and inspected premises and recent planting under forestry grant schemes. Data and models used to assess risks are variable in their time frames, but are broadly representative of the period from 2013 to 2023. The risk maps for Caledonian Pine assess the vulnerability of CPI fragments, if P. pinifolia were to arrive, and the most probable areas of introduction and establishment. P. pinifolia has not been detected in the UK but is on the UK Plant Health Risk Register. All known host species are within the genus Pinus, either recorded as naturally occurring disease affecting the shoots and needles of Pinus radiata, or established through pathogenicity trials on other species within the genus, albeit with varying levels of susceptibility. The only known source region for the pathogen is Chile. P. pinifolia has been ranked 8th among Phytophthora species mostly likely to arrive among the 109 Phytophthora species assessed, with this higher risk predominantly driven by the model component describing climatic similarity between forest, agricultural and urban habitats in Chile and the UK. A Rapid Pest Risk Analysis for P. pinifolia considered it unlikely to enter the UK due to restrictions on import of living pine species from non-EU countries, though transport may still be possible with other, unknown, hosts.","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council"],"givenName":["L.J.","K.","G.","F.","D.E.L.","R.","B.V."],"grant":["NE/V019813/1"],"identifier":"ddee75ae-2ad0-4d16-81a9-20928d89e872","incomingCitationCount":1,"keyword":["Scotland","Environmental risk","exotic species","forest pest","forestry","habitat","pathogenic organism","phytopathology","risk assessment"],"keywordsOther":["exotic species","forest pest","forestry","habitat","pathogenic organism","phytopathology","risk assessment"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland's plant health sector including forestry, conservation, horticulture, and government agencies. Risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. Overall risk scores integrate climate suitability (using pathogen-specific temperature-dependent growth curves and relative humidity thresholds), with proximity to other pine fragments, inspected premises and planting under forestry grant schemes. As agreed in the first workshop, climate suitability was given the greatest weight in the scoring of the risk factors. Due to the absence of any P. pinifolia detections in the UK, the spatial risk frameworks exclude proximity to infected areas. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of pathogen-specific climate suitability models has been attempted for other Phytophthora species using independent UK and European detections, but is not possible for P. pinifolia as the pathogen has not been detected in Europe.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:26:41.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ddee75ae-2ad0-4d16-81a9-20928d89e872","10.5285/ddee75ae-2ad0-4d16-81a9-20928d89e872","doi:10.5285/ddee75ae-2ad0-4d16-81a9-20928d89e872"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset maps the potential vulnerability to Phytophthora pinifolia infection for 82 core fragments of the Caledonian Pinewood Inventory (CPI) in Scotland. Fragment risk scores integrate climate suitability for pathogen growth, proximity to other pine fragments…","state":"published","title":"Spatial risk analysis for Phytophthora pinifolia infection of Caledonian Pinewood Inventory fragments in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["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":["University of Nottingham","Jadavpur University","Bangladesh University of Engineering and Technology","Vietnam Atomic Energy Instiute","Can Tho University","Electric Power University","Tyne Rivers Trust","Newcastle University","Utrecht University","Geological Survey of Denmark and Greenland","University of Southampton","Vietnam Academy of Science and Technology","University of Glasgow","University College London","Northumbria University","Jacobs (United Kingdom)","British Geological Survey"],"authorFamilyName":["Panizzo","Ghosh","Mashfiqus","Trinh","Van","Do","Chowdhury","Chanda","Fielding","Phan","Henderson","McGowan","Brown","Walker-Trivett","Walton","Banerjee","Nguyễn","Le","Duong","Shil","Bass","Majumdar","Rafi","Shahariar","Roberts","Salgado Bonnet","Sear","Leadbeater","Taylor","Nam","Large","Smith"],"authorFullName":["Panizzo, V.","Ghosh, T.","Mashfiqus, S.","Trinh, D.A.","Van, T.","Do, N.T.","Chowdhury, A.I.A.","Chanda, A.","Fielding, J.","Phan, T.","Henderson, A.","McGowan, S.","Brown, J.","Walker-Trivett, C.","Walton, R.","Banerjee, S.","Nguyễn, L.N.","Le, P.Q.T.","Duong, T.T.","Shil, S.","Bass, A.","Majumdar, M.A.","Rafi, N.N.","Shahariar, M.N.K.","Roberts, L.","Salgado Bonnet, J.","Sear, E.","Leadbeater, E.","Taylor, S.","Nam, T.S.","Large, A.","Smith, A."],"authorGivenName":["Virginia","Tuhin","Salehin","Duc Anh","Tri","Nga Thu","Ahmed Ishtiaque Amin","Abhra","James","Trung","Andrew","Suzanne","Jody","Chloe","Richard","Sumana","Lân Nho","Phương Quynh Thi","Thuy Thi","Souvik","Adrian","Md Anisur","Nafis Nayem","Md Nayeem Khan ","Lucy","Jorge","Emily","Eleanor","Sarah","Trần Sỹ ","Andy"],"authorOrcid":["https://orcid.org/0000-0002-3411-9945","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0002-1513-7240","https://orcid.org/0000-0003-4207-8845","https://orcid.org/0000-0001-7045-1753","https://orcid.org/0000-0002-0250-630X","https://orcid.org/0000-0002-3280-1959","https://orcid.org/0000-0001-6807-5955","https://orcid.org/0000-0002-5944-3135","https://orcid.org/0000-0003-4034-7140","https://orcid.org/0000-0002-1630-2076","https://orcid.org/0000-0002-2258-1374","https://orcid.org/0009-0007-4641-6078","https://orcid.org/0000-0001-7341-662X","https://orcid.org/0000-0003-4712-3668","https://orcid.org/0000-0003-1796-3850","https://orcid.org/0009-0003-9884-3048","https://orcid.org/0000-0003-3982-6582","https://orcid.org/0000-0003-4095-9120","https://orcid.org/0000-0003-0670-0334","https://orcid.org/0000-0001-6445-0076","https://orcid.org/0000-0002-3835-351X"],"authorRor":["https://ror.org/01ee9ar58","https://ror.org/02af4h012","https://ror.org/05a1qpv97","https://ror.org/04jfns044","https://ror.org/0071qz696","https://ror.org/01p4b7n26","https://ror.org/01mj2ze90","https://ror.org/01kj2bm70","https://ror.org/04pp8hn57","https://ror.org/01b40r146","https://ror.org/01ryk1543","https://ror.org/02wsd5p50","https://ror.org/00vtgdb53","https://ror.org/02jx3x895","https://ror.org/049e6bc10","https://ror.org/047khcd84","https://ror.org/04a7gbp98"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains water quality data across rivers and ponds in the Vietnamese Mekong River Delta (MRD), Vietnamese Red River Delta (RRD) and Bangladeshi and Indian Ganges Brahmaputra Meghna (GBM) Delta. The main objective of this work was to establish a baseline database for water quality, covering a wide range of water quality parameters to address emerging environmental concerns, such as anti-microbial resistance for the Bangladeshi Ganges Brahmaputra Meghna Delta. The available data are separated by delta, and are listed below.\n\nBangladeshi GBM\nThree datasets are available: river water quality, pond water quality, and phytoplankton biomonitoring.\nOne river water quality dataset is available, containing point measurements from February 2022 to February 2024 at 11 pre-selected locations of four rivers in the coastal areas of the Bangladeshi GBM. Each of the 4 rivers were sampled 5 times over different seasons. Daily measurements (during each of the 5 sampling periods) include 6-7 samples per site (from morning until 19.00).\nTwo separate pond water quality datasets are available:\n(1) The first ponds dataset contains point measurements of 40 ponds in September 2023 and March 2024. Available data and information include the site location and context - including user and use information (occupation, water source, etc.), physical properties (surface area, depth, etc.), context (region, adjacent buildings, urban setting), and treatment regimes. Available water chemistry data include temperature, pH, total suspended solids, total phosphorus, soluble reactive phosphorus, phosphate, ammonium, nitrate, silia, Δ13c, particulate organic carbon, total dissolved nitrogen, C:N, chloride, sulphate, sodium, potassium, calcium, magnesium, dissolved oxygen, SPC, alkalinity, rugged dissolved oxygen, electrical conductivity, turbidity, total coliforms, E. Coli, algal pigments, and sediment chemistry. Additionally, pond depth water chemistry profiles - including water body stratification depths and pycnoclines - are available for 39/40 ponds in September 2023.\n(2) The second ponds dataset contains point measurements of 20 ponds and groundwater tubewells from Gabura, Satkhira and South Bedkashi, Khulna from February 2022 to February 2024. Tubewells were sampled 5 times (once per day) during the same sampling period as the river water quality dataset. Parameters here include water quality variables (pH, conductivity, turbidity), microbial indicators, and selected emerging contaminants.\nOne phytoplankton biomonitoring dataset is available for 8 pond and stream sites from February-March 2022. Each sampling site has a variable number of diatom species. Measurements include concentration (number per ml), biovolume and mean cell biovolume. \n\nIndian GBM\nThree datasets are available: river water quality, pond water quality, and phytoplankton biomonitoring.\nOne river water quality monitoring dataset seasonal water quality measurements collected from multiple sampling stations across the Indian Sundarbans region. The dataset includes physicochemical, biological, and bacteriological parameters, measured under high tide and low tide conditions across nine seasonal campaigns (2021-2024). The data support environmental monitoring, estuarine studies, and biogeochemical assessments.\nOne pond water quality dataset includes point measurements from 29 ponds in the Indian GBM in three sampling periods: July 2024, December 2023 and March 2024. Data include details of the site location, context (i.e. region), user and use information, water chemistry (salinity, temperature, pH, total alkalinity, oxidation-reduction potential, dissolved oxygen, secchi depth, total dissolved solids, total phosphorus, phosphate anions, soluble reactive phosphorus, nitrate anions, total Kjedahl nitrogen, ammoniacal nitrogen, silicate, total suspended solids, conductivity, absolute conductivity, chloride anions, sodium cations, potassium cations, calcium cations, magnesium cations, sulphate anions, dissolved silica, Chl A, Chl B, Chl C, total Chl, carotenoid, total coliform and E Coli.\nOne phytoplankton biomonitoring dataset is available for 20 sites in 3 time periods - both low and high tide for December 2021, July 2022, and March 2023. Data include concentration and biovolumes, concentrations per 1 mL, concentrations per 10 mL, biovolume per 1 mL, and biovolume per 10 mL for 48 diatom species.\n\nRRD\nThree datasets are available for the Vietnamese Red River Delta: two river surface water quality datasets, and one surface pond water quality datasets.\nThe first dataset contains monthly water chemistry data in the RRD from March 2018 to February 2022. The data include pH, TDS, Ca2+, Mg2+, Na+, K+, HCO3-, SiO2, Cl-, and SO42-. Data collected at five stations namely Yen Bai, Vu Quang, Hoa Binh, Gian Khau, and Quyet Chien.\nThe Red River Delta is both a densely populated region and an area of intensive agricultural activity, implying significant potential for pollution. To provide a comprehensive assessment of water quality across the delta and evaluate the impacts of different human activities, we conducted monthly sampling at 22 sites throughout the region. These sites are strategically located across diverse land-use types and at the confluences of major rivers-including the Red, Day, and Nhue rivers-and their tributaries, enabling us to trace potential sources of pollution within the area.\nWithin the second dataset, the following data are available:\n-\tStable isotopes (July 2019-March 2024)\n-\tOrganic content - dissolved organic carbon, dissolved inorganic carbon & particulate organic carbon (July 2019-March 2024)\n-\tPhysiochemistry - temperature, dissolved oxygen, salinity, oxidation reduction potential, pH, turbidity, conductivity, total dissolved solid and total suspended solids (July 2019-March 2024)\n-\tMajor ions (Na, Mg, K, Ca, Cl, SO4, B; July 2019-March 2024)\n-\tNutrients (NO3-N, NO2-N, NH4-N, total nitrogen, soluble reactive phosphorus, TSP, total phosphorus, SIO2 & alkalinity; July 2019-March 2024)\n-\tWater discharge (01-01-2014 to 31-12-2023)\n-\tQuantitative phytoplankton for (1) the Red River (December 2019-March 2024) and (2) the Day River (July 2019-March 2024).\nLastly, one dataset containing water and sediment chemistry of 37 ponds in March 2023 is available. This includes pond user and use information, and water and sediment quality parameters for 37 sampling locations in 36 ponds in the Red River Delta taken in March 2023. The data include details of the site location, pond physical properties (i.e. age, surface area, depth), context (i.e. region, adjacent buildings, urban setting), use information (i.e. agricultural, water source), treatment regimes, water chemistry (i.e. Temp, pH, Secchi depth, Total Suspended Solids, Total Phosphorus, Soluble Reactive Phosphorus, Total Nitrogen, Nitrite, Nitrate, Ammonium, Nitrate δ15N/ δ18O, Aquatic Si, Δ13C, Particulate Organic Carbon, Dissolved Organic Carbon, Total Dissolved Nitrogen, C:N, Chloride anions, Sulphate anion, dissolved oxygen, SPC), algal pigments, and sediment chemistry.\n\nMRD\nTwo datasets are available for the Vietnamese Mekong River Delta. The first includes water quality monitoring of surface water in October 2021 in three provinces: Ca Mau, Soc Trang and Kien Giang.  Parameters include physiochemical and microbiological water quality measurements, including Ammonium (NH4+), BOD5, COD, Chloride (Cl-), DO, E. coli, Nitrate (NO3-), Nitrite (NO2-), pH, Phosphate (PO43-), Temperature (°C), Total Coliform, Total Iron (Fe), TSS, Turbidity (NTU). The total number of sampling sites is 126 across Soc Trang (N = 35), Kien Giang (N = 49) and Ca Mau (N = 42). \nThe second dataset includes further surface water quality monitoring and water quality index metric in Soc Trang and Ca Mau provinces. Cà Mau includes data from 52 stations (NM-01 to NM-52) sampled during dry and wet seasons (coded as Season 1 and Season 2) from 2015 to 2020. Sóc Trăng includes data from 21 stations (coded M1 to M21) sampled annually from 2014 to 2018. The stations cover diverse water environments including freshwater and brackish water systems. Parameters measured include field parameters (pH, temperature, dissolved oxygen, electrical conductivity), organic pollution indicators (BOD5, COD), nutrients (N-NH4, P-PO4), solids (TSS, Turbidity), metals (Fe, Hg, As, Cu etc.), anions (Cl-, SO4-), salinity, total coliform, and petroleum hydrocarbons. A Water Quality Index (WQI) derived from an Artificial Neural Network (ANN), is also calculated for most samples.","documentType":"GEMINI_DOCUMENT","familyName":["Panizzo","Ghosh","Mashfiqus","Trinh","Van","Do","Chowdhury","Chanda","Fielding","Phan","Henderson","McGowan","Brown","Walker-Trivett","Walton","Banerjee","Nguyễn","Le","Duong","Shil","Bass","Majumdar","Rafi","Shahariar","Roberts","Salgado Bonnet","Sear","Leadbeater","Taylor","Nam","Large","Smith"],"fullName":["Virginia Panizzo","Panizzo, V.","Ghosh, T.","Mashfiqus, S.","Trinh, D.A.","Van, T.","Do, N.T.","Chowdhury, A.I.A.","Chanda, A.","Fielding, J.","Phan, T.","Henderson, A.","McGowan, S.","Brown, J.","Walker-Trivett, C.","Walton, R.","Banerjee, S.","Nguyễn, L.N.","Le, P.Q.T.","Duong, T.T.","Shil, S.","Bass, A.","Majumdar, M.A.","Rafi, N.N.","Shahariar, M.N.K.","Roberts, L.","Salgado Bonnet, J.","Sear, E.","Leadbeater, E.","Taylor, S.","Nam, T.S.","Large, A.","Smith, A."],"funder":["Natural Environment Research Council"],"givenName":["Virginia","Tuhin","Salehin","Duc Anh","Tri","Nga Thu","Ahmed Ishtiaque Amin","Abhra","James","Trung","Andrew","Suzanne","Jody","Chloe","Richard","Sumana","Lân Nho","Phương Quynh Thi","Thuy Thi","Souvik","Adrian","Md Anisur","Nafis Nayem","Md Nayeem Khan ","Lucy","Jorge","Emily","Eleanor","Sarah","Trần Sỹ ","Andy"],"grant":["NE/S008926/1"],"identifier":"f311f69d-ecd2-4505-9882-e59d9b56852d","incomingCitationCount":0,"keyword":["Water quality","Pollution","Environmental survey","Environmental risk","Hydrology","Red River Delta","Vietnam","Mekong River Delta","Ganges Brahmaputra Meghna Delta","India","Bangladesh","river","pond","discharge regime","artificial neural network","surface water","monitoring","Ca Mau","Soc Trang","Kien Giang","nutrient","heavy metal","coliform bacterium","water quality index","time series","major ions","inorganic geochemistry","organic geochemistry","phytoplankton biochemistry","major ion geochemistry","pH","total dissolved solids","total coliform","physicochemical","BOD","COD","dissoved oxygen","E. coli","Sundarbans","estuarine monitoring","seasonal dataset","tidal sampling","carbon flux","mangrove ecosystem","groundwater","baseline study","antimicrobial resistance"],"keywordsOther":["Red River Delta","Vietnam","Mekong River Delta","Ganges Brahmaputra Meghna Delta","India","Bangladesh","river","pond","discharge regime","artificial neural network","surface water","monitoring","Ca Mau","Soc Trang","Kien Giang","nutrient","heavy metal","coliform bacterium","water quality index","time series","major ions","inorganic geochemistry","organic geochemistry","phytoplankton biochemistry","major ion geochemistry","pH","total dissolved solids","total coliform","physicochemical","BOD","COD","dissoved oxygen","E. coli","Sundarbans","estuarine monitoring","seasonal dataset","tidal sampling","carbon flux","mangrove ecosystem","groundwater","baseline study","antimicrobial resistance"],"keywordsTheme":["Water quality","Pollution","Environmental survey","Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Bangladeshi GBM\nSamples from the first pond water quality dataset were generated through sonde and laboratory analyses. Pond depth water chemistry profiles were collected through sonde measurements.\nSamples from the second pond water quality dataset and river water quality dataset were collected using standard water sampling protocols for rivers and tubewells - including in-situ measurements of temperature and conductivity and the collection of samples in pre-cleaned sterilised containers for subsequent laboratory analyses. Samples were analysed during standard probes and laboratory equipment. \nPhytoplankton biomonitoring data were obtained using the phytoplankton submerged bottle method, sedimentation chambers were used for analyses using the Utermohl method. Pigment data are currently being processed and the data are forthcoming.\n\nIndian GBM\nThe river water quality dataset samples were collected from Water Sampling Points (WSPs) across the Indian Sundarbans region, extending from Diamond Harbour to Hingalganj. Initially 20 stations (M21-PRM22), later expanded to 23 stations (from M22 onwards). Seasonal sampling incorporates three periods: pre-monsoon, monsoon and post-monsoon and 9 seasonal campaigns between 2021-2024. Each sampling period contains high tide and low tide measurements. Measurements were conducted using a multiparameter probe (pH, DO, conductivity, salinity, temperature, ORP), LI-COR LI-8x0 IRGA (CO₂ flux and pCO₂), anemometer (wind velocity), and Secchi disk (water transparency). Water samples were collected in sealed bottles and preserved immediately using appropriate reagents: HgCl₂ / H₂SO₄ for nutrients; Lugol's iodine for chlorophyll-a. Separate containers were used for bacteriological and chemical analysis. Laboratory analyses were conducted following APHA Standard Methods for nutrients, major ions, and bacteriological parameters (MPN method). Samples from the pond water quality dataset were generated through sonde measurements and standard laboratory analyses. Phytoplankton biomonitoring data were obtained used the filled bottle method, and analysed using Lund cell repeats.\n\nRRD\nWater samples from 22 selected sites across the Red River Delta were collected monthly. The samples were then analysed in the laboratory on the same day or within 24 hours of collection. When immediate analysis was not possible, they were stored under refrigerated or frozen conditions to preserve sample integrity, in accordance with Vietnamese standards. Physico-chemical parameters (pH, total dissolved solids [TDS]) were measured in-situ by a Hydrolab sonde DS5. Each sample was analysed in the laboratory for major cations (Ca2+, Mg2+, Na+, and K+), major anions (Cl- , SO4 2- and HCO3 - ) and dissolved silica (SiO2). Pond water chemistry data were collected with a YSI EXO probe.\n\nMRD\nFor the water quality monitoring dataset, surface water grab samples collected at field sites and transported to Can Tho University laboratory (Dept. of Environmental Sciences) for analysis. Temperature and DO measured in-situ. All analyses conducted per Vietnamese national standards (TCVN) on 25 October 2021 and certified by Head of Laboratory. \nFor the second water quality monitoring and water quality index dataset, the field procedures for surface water sampling, preservation, and transportation strictly adhere to TCVN 6663-3:2016 and associated framework standards (TCVN 6663-1:2011, 6663-4:2018, 6663-6:2018, and 8880:2011) to guarantee sample integrity. Methodologically, this entails the immediate in-situ measurement of physicochemical parameters, filtration of dissolved constituents through 0.45 µm membranes, and the application of parameter-specific chemical preservatives. All collected samples were subsequently stored in dark, insulated conditions at 3°C ± 2°C and transported to the analytical facility within a 24-hour window, accompanied by a comprehensive Chain of Custody (CoC) record. Surface water sampling was conducted in strict accordance with Vietnamese standard TCVN 6663-6:2018. Sampling locations were selected in areas with stable flow, representative of the overall water quality of the water body, with the container opening facing against the current to avoid local contamination. Samples were collected at a depth of 0.2m to 0.5m to eliminate the influence of surface scum and bottom sediments. Immediately after collection, rapidly changing parameters (pH, DO, EC, temperature) were measured in the field. Concurrently, samples were filtered, preserved with specialized chemicals, and stored under cold conditions (1°C to 5°C) during transport to the laboratory.","locations":["POLYGON((88.5 8.252, 88.5 25.571, 107.513 25.571, 107.513 8.252, 88.5 8.252))"],"metadataDate":"2026-06-27T19:36:46.000Z","orcid":["https://orcid.org/0000-0002-3411-9945","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0002-1513-7240","https://orcid.org/0000-0003-4207-8845","https://orcid.org/0000-0001-7045-1753","https://orcid.org/0000-0002-0250-630X","https://orcid.org/0000-0002-3280-1959","https://orcid.org/0000-0001-6807-5955","https://orcid.org/0000-0002-5944-3135","https://orcid.org/0000-0003-4034-7140","https://orcid.org/0000-0002-1630-2076","https://orcid.org/0000-0002-2258-1374","https://orcid.org/0009-0007-4641-6078","https://orcid.org/0000-0001-7341-662X","https://orcid.org/0000-0003-4712-3668","https://orcid.org/0000-0003-1796-3850","https://orcid.org/0009-0003-9884-3048","https://orcid.org/0000-0003-3982-6582","https://orcid.org/0000-0003-4095-9120","https://orcid.org/0000-0003-0670-0334","https://orcid.org/0000-0001-6445-0076","https://orcid.org/0000-0002-3835-351X"],"organisation":["University of Nottingham","Jadavpur University","Bangladesh University of Engineering and Technology","Vietnam Atomic Energy Instiute","Can Tho University","Electric Power University","Tyne Rivers Trust","Newcastle University","Utrecht University","Geological Survey of Denmark and Greenland","University of Southampton","Vietnam Academy of Science and Technology","University of Glasgow","University College London","Northumbria University","Jacobs (United Kingdom)","British Geological Survey","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f311f69d-ecd2-4505-9882-e59d9b56852d","10.5285/f311f69d-ecd2-4505-9882-e59d9b56852d","doi:10.5285/f311f69d-ecd2-4505-9882-e59d9b56852d"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01ee9ar58","https://ror.org/02af4h012","https://ror.org/05a1qpv97","https://ror.org/04jfns044","https://ror.org/0071qz696","https://ror.org/01p4b7n26","https://ror.org/01mj2ze90","https://ror.org/01kj2bm70","https://ror.org/04pp8hn57","https://ror.org/01b40r146","https://ror.org/01ryk1543","https://ror.org/02wsd5p50","https://ror.org/00vtgdb53","https://ror.org/02jx3x895","https://ror.org/049e6bc10","https://ror.org/047khcd84","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains water quality data across rivers and ponds in the Vietnamese Mekong River Delta (MRD), Vietnamese Red River Delta (RRD) and Bangladeshi and Indian Ganges Brahmaputra Meghna (GBM) Delta. The main objective of this work was to establish a baseline…","state":"published","title":"Surface water quality data from rivers and ponds in the Mekong Delta, Red River Delta and Ganges Brahmaputra Meghna Delta, 2018-2024","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","katwri"]},{"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"],"description":"This dataset is a ranked list of risks to Scotland from 196 Phytophthora species, including most of the approximately 240 formally described or provisionally named species in the genus globally. Arrival and establishment risks are scored and joined with information on surveillance of known hosts within inspected premises in Scotland (introduction risks). Potential impacts are scored using information on global Phytophthora-host interactions extracted from a global database of Phytophthora records to identify at risk hosts and score the level of threat to hosts and habitats within Scotland. The ranked list was developed to support prioritisation among future Phytophthora threats to Scotland. All risks were scored by the UKCEH project team, informed by a self-completion survey and two workshops with 15 stakeholders from across Scotland's plant health sector, including forestry, conservation, horticulture, and government agencies.","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","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L.","L. J.","K.","G.","F.","D.E.L.","R.","B. V."],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"72e8f817-01a6-42d2-b187-a5ebf43853a1","incomingCitationCount":1,"keyword":["Environmental risk","Scotland","pathogenic organism","pest","risk assessment","exotic species","environmental impact","forestry","habitat","biodiversity"],"keywordsOther":["Scotland","pathogenic organism","pest","risk assessment","exotic species","environmental impact","forestry","habitat","biodiversity"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"To develop a ranked list of threats to Scotland from Phytophthora species we joined predictions from new models of probability of arrival into the UK through trade (Barwell et al. 2025), and current climate suitability for establishment in 342 pixels (approximately 15x15 km grid) in Scotland (Green et al. 2024). These were integrated with information on Phytophthora distributions, host associations and interceptions extracted from a global database of Phytophthora records. Potential impacts on Scotland's priority plants and habitats were assessed through scoring the number of susceptible host genera on Scotland's Biodiversity List, and within NVC habitats and National Forest Estate Subcompartments in Scotland.  Each risk metric was scored from 0 (low risk) to 3 (high risk) and these scores were summed to produce an overall risk score for each Phytophthora species. Some species are missing scores for climate suitability in Scotland  (n=37) or UK arrival risk (n=89) due to the absence of data on source regions or thermal tolerance traits to inform the underlying models. \n\nThe final report (L. J. Barwell, G. Amankwaa, F. Asaaga, K. Turvey, D. E. L. Cooke, R. Mitchell, & B. V. Purse (2025). Improved preparedness for Phytophthora prevention in Scotland: Project Final Report. PHC2023/02. Scotland's Centre of Expertise for Plant Health (PHC). https://www.planthealthcentre.scot/projects/improved-preparedness-Phytophthora-prevention-scotland) was peer-reviewed by Scotland’s Plant Health Centre. Underlying models of pathogen-specific climate suitability have been evaluated against independent detection data in the UK and Europe where available. Arrival risk models integrating trade flows from source regions and pathogen traits explained up to 78% (61.8, 84.6) of variance in the probability of a new detections since 2005 across Phytophthora species globally. Interceptions and host associations were derived from a global cross-sectoral database compiling information from multiple data providers and sectors to capture the broadest picture possible of Phytophthora host use and prevalence. Where possible, pathologists validated the records and rankings against their knowledge of pathogen behaviour. \n\nHowever, users of the list should be mindful that not all Phytophthora species are  included in the ranking presented here due to lack of knowledge on their distributions and hosts, and that a considerable proportion of global Phytophthora diversity may be unknown to science. Some of the most impactful Phytophthora species were only described after their emergence in regions that were likely outside of their native range and with unknown source regions. Moreover, quantitative metrics capturing the severity of interactions (e.g. pathogenicity) between Phytophthora species and their hosts are only available for a fraction of the host-pathogen interactions captured in our data and are not considered within the qualitative ranking presented here.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:12:01.000Z","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":"2025-09-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/72e8f817-01a6-42d2-b187-a5ebf43853a1","10.5285/72e8f817-01a6-42d2-b187-a5ebf43853a1","doi:10.5285/72e8f817-01a6-42d2-b187-a5ebf43853a1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a ranked list of risks to Scotland from 196 Phytophthora species, including most of the approximately 240 formally described or provisionally named species in the genus globally. Arrival and establishment risks are scored and joined with information…","state":"published","supplementalDescription":["Final report"],"supplementalName":["L. J. Barwell, G. Amankwaa, F. Asaaga, K. Turvey, D. E. L. Cooke, R. Mitchell, & B. V. Purse (2025)."],"title":"Ranked current and anticipated threats to Scotland from global Phytophthora species","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"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":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0245cg223"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are: \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, calculated using MODIS products","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Bachmair","Stahl","Hannaford"],"fullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"givenName":["M.","S.","K.","J."],"identifier":"4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b","incomingCitationCount":1,"keyword":["Environmental risk","Vegetation Condition Index","VCI","NDVI","Normalised Difference Vegetation Index","Temperature Condition Index","TCI","LST","Land Surface Temperature","VHI","Vegetation Health Index","MODIS","moderate-resolution imaging spectroradiometer","DrIVER","monitoring and early warning system","drought"],"keywordsOther":["Vegetation Condition Index","VCI","NDVI","Normalised Difference Vegetation Index","Temperature Condition Index","TCI","LST","Land Surface Temperature","VHI","Vegetation Health Index","MODIS","moderate-resolution imaging spectroradiometer","DrIVER","monitoring and early warning system","drought"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Three gridded drought indicators based on remote sensing were calculated for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators 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. For NDVI, MODIS product MOD13C2 was used, and for LST, MODIS product MOD11C3 was used. VCI, TCI and VHI were derived using methodology described by Kogan (Kogan, F.N., 1995; https://doi.org/10.1016/0273-1177(95)00079-T)","locations":["POLYGON((-15 30, -15 75, 45 75, 45 30, -15 30))"],"metadataDate":"2026-06-29T16:09:04.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b","10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b","doi:10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises three gridded drought indicators based on remote sensing data for Europe. The data has a spatial resolution of 0.05 degree and a temporal resolution of 1 month for the period going from 2000 to 2015. The three drought indicators are: \n the Vegetation…","state":"published","supplementalDescription":["Kogan, F. N. (1995). Application of vegetation index and brightness temperature for drought detection. In Advances in Space Research (Vol. 15, Issue 11, pp. 91–100). 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":["Centre for Ecology & Hydrology","Belgian Nuclear Research Centre","Public Health England, Centre for Radiation, Chemical and Environmental Hazards","British Geological Survey","University of Stirling"],"authorFamilyName":["Beresford","Barnett","Vives i Batlle","Potter","Ibrahimi","Barlow","Schieb","Jones","Copplestone"],"authorFullName":["Beresford, N.A.","Barnett, C.L.","Vives i Batlle, J.","Potter, E.D.","Ibrahimi, Z.","Barlow, T.S.","Schieb, C.","Jones, D.G.","Copplestone, D."],"authorGivenName":["N.A.","C.L.","J.","E.D.","Z-F.","T.S.","C.","D.G.","D."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/020xs5r81","https://ror.org/04a7gbp98","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes individual passive detector measurements of radon Rn-222 in the air of artificial burrows, Rn-222 measurements by instrumentation in soil gas of interstitial soil pores and burrow air, gamma analyses results for soil samples and, soil moisture and temperature data. Estimates of absorbed dose rates to wildlife from exposure to natural background radionuclides are required to put estimates of dose rates arising from regulated releases of radioactivity and proposed benchmarks into context. These data are from a study conducted at seven sites in northwest England (comprising broadleaved and coniferous woodlands, scrubland and pastures). Passive track etch detectors were used to measure the Rn-222 concentrations in artificial burrows over a period of approximately one year (July 2009 to June 2010). Instrumented measurements of burrow air and soil pore gas were also conducted in October 2009.\n \nThe data result from a study funded by NERC-CEH and the England & Wales Environment Agency.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Barnett","Vives i Batlle","Potter","Ibrahimi","Barlow","Schieb","Jones","Copplestone"],"fullName":["Beresford, N.","Beresford, N.A.","Barnett, C.L.","Vives i Batlle, J.","Potter, E.D.","Ibrahimi, Z.","Barlow, T.S.","Schieb, C.","Jones, D.G.","Copplestone, D."],"funder":["Natural Environment Research Council","Environment Agency"],"givenName":["Nick","N.A.","C.L.","J.","E.D.","Z-F.","T.S.","C.","D.G.","D."],"identifier":"2641515f-5b76-445c-a936-1da51bf365ad","incomingCitationCount":1,"keyword":["Great Britain","Cumbria","Pollution","Radioecology","radioecology","burrowing animals","background exposure","radon","radionuclide","exposure"],"keywordsOther":["radioecology","burrowing animals","background exposure","radon","radionuclide","exposure"],"keywordsPlace":["Great Britain","Cumbria"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Non-Open government licence","lineage":"Methodologies for Rn-222 measurements described in: Beresford N.A. et al, Exposure of burrowing mammals to 222Rn, Sci Total Environ (2012), doi:10.1016/j.scitotenv.2012.05.023 Gamma analyses (not reported in above paper) Soil samples were taken to a depth of 50 cm from adjacent to each burrow at the end of the study for subsequent gamma-analyses. Samples we dried at 80°C, homogenised and weighed into c. 950 ml plastic containers. The containers were sealed and left for 25 d to allow secular equilibrium to be reached. The samples were subsequently counted on hyper-pure Ge-detectors for 4 d. The resultant spectra were analysed using the Canberra Apex-Gamma software package. The detectors are calibrated using certified standards, containing mixtures of gamma-emitting radionuclides, which are mixed into matrix of different densities. The methodology is UKAS accredited.","locations":["POLYGON((-5.41 52, -5.41 55.81, -2 55.81, -2 52, -5.41 52))"],"metadataDate":"2026-06-27T18:12:34.000Z","orcid":["https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Belgian Nuclear Research Centre","Public Health England, Centre for Radiation, Chemical and Environmental Hazards","British Geological Survey","University of Stirling","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2012-05-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1334588733062","CEH:EIDC::1334588733062","https://catalogue.ceh.ac.uk/id/2641515f-5b76-445c-a936-1da51bf365ad","10.5285/2641515F-5B76-445C-A936-1DA51BF365AD","doi:10.5285/2641515F-5B76-445C-A936-1DA51BF365AD"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/020xs5r81","https://ror.org/04a7gbp98","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes individual passive detector measurements of radon Rn-222 in the air of artificial burrows, Rn-222 measurements by instrumentation in soil gas of interstitial soil pores and burrow air, gamma analyses results for soil samples and, soil moisture…","state":"published","title":"Exposure of burrowing mammals to Radon Rn-222 in Northwest England","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","asowe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Wright"],"authorFullName":["Wright, S.M."],"authorGivenName":["S.M."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic Energy Authority extrapolated across Great Britain using a 5 by 5 km resolution UKCIP precipitation dataset. The prediction is for 31 December 1985. ","documentType":"GEMINI_DOCUMENT","familyName":["Wright"],"fullName":["Wright, S.","Wright, S.M."],"givenName":["Simon","S.M."],"identifier":"c3e530bf-af20-43fc-8b4b-92682233ff08","incomingCitationCount":1,"keyword":["Scotland","Wales","England","Great Britain","Mapping","Radioecology","Radiocaesium","Cs137","Atmospheric nuclear weapons tests","radioecology","rain","atmospheric precipitation","nuclear hazard"],"keywordsOther":["Radiocaesium","Cs137","Atmospheric nuclear weapons tests","radioecology","rain","atmospheric precipitation","nuclear hazard"],"keywordsPlace":["Scotland","Wales","England","Great Britain"],"keywordsTheme":["Mapping","Radioecology"],"licence":"Open government licence","lineage":"The methodlogy used to estimate Cs137 deposition from atmospheric nuclear weapons tests was originally developed in the Artic Monitoring and Assessment Programme (AMAP) to estimate rates of radiocaesium transfer from soil to vegetation and food products. The method was then used to estimate Cs137 deposition from atmospheric nuclear weapons tests in Great Britain to allow quantification of Cs137 from the Chernobyl accident in 1986. \nSee also: Wright, S.M., Howard, B.J., Strand, P. Nylen, T & Sickel, M.A.K. 1999 Prediction of 137Cs deposition from atmospheric nuclear weapons tests within the Arctic. Environmental Pollution, 104, 131-143.","locations":["POLYGON((-13.01 47.819, -13.01 61.132, 3.555 61.132, 3.555 47.819, -13.01 47.819))"],"metadataDate":"2026-06-29T16:13:32.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-09-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c3e530bf-af20-43fc-8b4b-92682233ff08","10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08","doi:10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic Energy Authority extrapolated across Great Britain using a 5 by 5 km resolution…","state":"published","supplementalDescription":["Wright, S.M., Howard, B.J., Strand, P. Nylen, T & Sickel, M.A.K. 1999 Prediction of 137Cs deposition from atmospheric nuclear weapons tests within the Arctic. Environmental Pollution, 104, 131-143."],"title":"Predicted Caesium-137 deposition from atmospheric nuclear weapons tests","topic":["0/Mapping/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"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 contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection of resistant strains is presented in the dataset as a binary result, along with mechanisms of resistance to third generation cephalosporins where relevant. In addition there is comprehensive farm management data including antibiotic usage data.","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":"c9bc537a-d1c5-43a0-b146-42c25d4e8160","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":"1. Records of samples taken from 53 farms including date, type and descriptive location of sample. 2. Records of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin). 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T17:19:58.000Z","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/c9bc537a-d1c5-43a0-b146-42c25d4e8160","10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160","doi:10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection…","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorGivenName":["L","H","R","M","C"],"authorOrcid":["https://orcid.org/0000-0003-2530-2120"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","familyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["Luke","L","H","R","M","C"],"grant":["NE/V005847/1"],"identifier":"0bfdfa23-15f8-4ffd-b1dc-e77178af0304","incomingCitationCount":0,"keyword":["Environmental risk","Pollution","Soil","Water quality","plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsOther":["plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsTheme":["Environmental risk","Pollution","Soil","Water quality"],"licence":"Open government licence","lineage":"Mesocosm experiments were designed in two stages. For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","metadataDate":"2026-06-29T17:02:47.000Z","orcid":["https://orcid.org/0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","doi:10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony…","state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., Pow, C. J., & Quilliam, R. S. (2024). Survival and transfer potential of Salmonella enterica serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils. In Environmental Science and Pollution Research (Vol. 31, Issue 39, pp. 51353–51363). Springer Science and Business Media LLC. "],"title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Barnett","Wells","Thacker","Guyatt","Fletcher","Lawlor","Winfield","Beresford"],"authorFullName":["Barnett, C.L.","Wells, C.","Thacker, S.","Guyatt, H.J.","Fletcher, J.M.","Lawlor, A.J.","Winfield, I.J.","Beresford, N.A."],"authorGivenName":["C.L.","C.","S.","H.J.","J.M.","A.J.","I.J.","N.A."],"authorOrcid":["https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-9296-5114","https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise concentrations of elements in ashed fish sampled from lakes in the English Lake District in 2012 and 2013. Fish were collected from three lakes (Windermere, Bassenthwaite Lake and Derwent Water) by the Centre for Ecology & Hydrology (CEH) Lake Ecosystems group. Fish species collected were Roach (Rutilus rutilus), Perch (Perca fluviatilis), Ruffe (Gymnocephalus cernuus), Brown trout (Salmo trutta), Pike (Esox lucius) and Vendace (Coregonus albula). All samples were ashed prior to analysis by ICPMS or ICPOES to determine elemental concentrations.","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Wells","Thacker","Guyatt","Fletcher","Lawlor","Winfield","Beresford"],"fullName":["Barnett, C.","Barnett, C.L.","Wells, C.","Thacker, S.","Guyatt, H.J.","Fletcher, J.M.","Lawlor, A.J.","Winfield, I.J.","Beresford, N.A."],"givenName":["Cath","C.L.","C.","S.","H.J.","J.M.","A.J.","I.J.","N.A."],"identifier":"ed90df1b-462c-46bb-afbd-59794fb03f6b","incomingCitationCount":1,"keyword":["Lake District","Windermere","Bassenthwaite Lake","Derwent Water","Radioecology","Water quality","Coregonus albula","Esox lucius","Salmo trutta","Gymnocephalus cernua","Perca fluviatilis","Rutilus rutilus"],"keywordsOther":["Coregonus albula","Esox lucius","Salmo trutta","Gymnocephalus cernua","Perca fluviatilis","Rutilus rutilus"],"keywordsPlace":["Lake District","Windermere","Bassenthwaite Lake","Derwent Water"],"keywordsTheme":["Radioecology","Water quality"],"licence":"Open government licence","lineage":"Fish were collected in 2012 and 2013 from Windermere, Bassenthwaite Lake and Derwent Water in the English Lake District. Species collected were: Roach (Rutilus rutilus), Perch (Perca fluviatilis), Ruffe (Gymnocephalus cernuus), Brown trout (Salmo trutta), Pike (Esox lucius) and Vendace (Coregonus albula). Samples were frozen to minus 20 degrees Centigrade as soon as possible after collection. Fish samples were thoroughly defrosted, weighed and gutted prior to the whole-fish being ashed at 500°C. The ash was then weighed. Ashed fish samples were digested using an aqua regia reagent (fresh 3:1 mixture of concentrated HNO3 and HCl aristar grade) at 175°C for 12 minutes using a microwave oven (CEM, MarsXpress). Analysis of the ashed fish digests was then conducted by ICPMS (Perkin Elmer, NeXION 300D) or ICPOES (Perkin Elmer, 7300 DV). ICPMS measurements were made using two types of instrument operation, either quantitative or semi-quantitative (using Perkin Elmer Total Quant software). The quantitative measurements were made using external calibration after spiking the digests with 10 microgram per litre Ga, In and Re as internal standards to compensate for instrumental drift and matrix effects. The semi-quantitative measurements were made using the ICPMS instrument operating in kinetic energy discrimination (KED) mode with the addition of helium gas. The semi-quantitative and quantitative modes differed as the former used an element concentration to intensity response curve to extrapolate concentrations over a wide mass range. ICPMS and ICPOES instrument limits of detection (LOD) were calculated using mean and standard deviation measurements for the digestion reagent blank (yb, plus sb where yb is blank concentration and sb is three standard deviations of the blank). Method LODs were then calculated taking into account the dilution arising from the digestion procedure. Note that for some elements determined using the semi-quantitative ICPMS method it was not possible to determine instrument LODs from the analysis of a digestion reagent blank and in these cases the instrument LODs were estimated from an assessment of instrument sensitivity and assigned a values of 0.001 microgram per litre (equivalent to a mean method LOD of 0.001 milligrams per kilogram). Results are reported as milligrams per kilogram fresh weight (converted from ash weight using fresh to ash weight ratio for each sample).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:16:58.000Z","orcid":["https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-9296-5114","https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1420712455477","CEH:EIDC::1420712455477","https://catalogue.ceh.ac.uk/id/ed90df1b-462c-46bb-afbd-59794fb03f6b","10.5285/ed90df1b-462c-46bb-afbd-59794fb03f6b","doi:10.5285/ed90df1b-462c-46bb-afbd-59794fb03f6b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise concentrations of elements in ashed fish sampled from lakes in the English Lake District in 2012 and 2013. Fish were collected from three lakes (Windermere, Bassenthwaite Lake and Derwent Water) by the Centre for Ecology & Hydrology (CEH) Lake Ecosystems…","state":"published","title":"Elemental concentrations in fish from lakes in Northwest England","topic":["0/Radioecology/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"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 maps the risks of Phytophthora ramorum infection for 79062 larch fragments identified in Scotland, of which 79060 were assigned a risk score. Two fragments without climate and/or habitat suitability scores were excluded. Fragment risk scores integrate multiple risk factors. The primary risk factor is climate suitability for P. ramorum using pathogen-specific temperature-dependent growth curves and a relative humidity threshold. Other risk factors integrated are proximity to larch/infected larch within 500m or 5000m and other (non-Larch) wider environment infections within 1500m. Presence of alternative hosts are scored using habitat suitability within the fragment for sporulating hosts (Vaccinium myrtillus, V. vitis-idaea, Acrostaphylos uva-versi) and the reservoir host Rhododendron ponticum. Additionally, proximity to inspected premises with confirmed infections and the presence of water courses are also assessed. The maximum possible risk score for a larch fragment is 12. Fragments were also classified as low, medium or high risk. ","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","L.","K.","G.","F.","D. E. L.","R.","B. V."],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"f6809e00-91cb-494d-babd-5d60d938ad97","incomingCitationCount":1,"keyword":["Environmental risk","Phytophthora ramorum","Larch","Scotland","forestry","exotic species","habitat","pathogenic organism","pest","phytopathology","risk assessment"],"keywordsOther":["Phytophthora ramorum","Larch","Scotland","forestry","exotic species","habitat","pathogenic organism","pest","phytopathology","risk assessment"],"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 to co-design the risk framework. Larch fragments in Scotland were compiled from the National Forest Estate Sub-compartments Scotland 2019, the Native Woodland Survey of Scotland, survey data, Statutory Plant Health Notices and larch layers from Scottish Forestry, and a Phytophthora database. Any areas felled since 2013 were identified and removed using the National Forest Inventory GB from 2013 to 2023 and completed Statutory Plant Health Notices. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The risk scoring has been adjusted to reduce the emphasis on proximity to inspected premises as a pathway of spread, reflecting stakeholder perspectives on improved biosecurity practices in trade.  The previous risk analysis for P. ramorum infection for Scotland’s larch fragments (https://doi.org/10.5285/29726cda-09f5-4661-8fd4-ddaa5555466a) has been updated to reflect the removal of larch since 2013 through Statutory Plant Health Notices and other clear-felling, to include new P. ramorum detection data in larch woodlands and inspected premises provided by Scottish Forestry and SASA. In addition, new climate suitability models of pathogen growth are used to score risk of establishment and new species distribution models have been used to score risks of transmission from alternative host species of P. ramorum. The scored fragment data were intersected with the boundaries of local authorities, Scottish Forestry Conservancies, and P. ramorum policy zones to summarise the distribution of risks across regions in Scotland.\n\nThe 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 P. ramorum has been attempted using independent UK and European detections for P. ramorum. This spatial risk framework cannot yet be fully validated until future detection data are available, because previous detections are used within the model and are not independent of the risk scores assigned. However, the previous risk framework for Larch has been cross-validated against subsequent, independent P. ramorum detections, as proof of concept.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T18:31:34.000Z","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":"2025-10-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6809e00-91cb-494d-babd-5d60d938ad97","10.5285/f6809e00-91cb-494d-babd-5d60d938ad97","doi:10.5285/f6809e00-91cb-494d-babd-5d60d938ad97"],"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 ramorum infection for 79062 larch fragments identified in Scotland, of which 79060 were assigned a risk score. Two fragments without climate and/or habitat suitability scores were excluded. Fragment risk scores integrate multiple…","state":"published","title":"Spatial risk analysis for Phytophthora ramorum infection in Larch fragments in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bowes","Armstrong","Nicholls","Williams","O’Brien","Duenas-Lopez","Duke","Juergens"],"authorFullName":["Bowes, M.J.","Armstrong, L.K.","Nicholls, D.J.E.","Williams, M.","O’Brien, A.","Duenas-Lopez, M.A.","Duke, E.","Juergens, M.D."],"authorGivenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"authorOrcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-6526-589X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity, and chlorophyll. This catchment-wide biogeochemical monitoring platform captures changes in the water quality of the Thames basin during a period of rapid change, related to increasing pressures (due to a rapidly growing human population, increasing water demand and climate change) and improvements in sewage treatment processes and agricultural practices. The dataset provides the research community with a valuable data and modelling resource for furthering our understanding of pollution sources and dynamics, and vital underpinning environmental data required to best manage this vital drinking water resource, which is key for the sustainability of the city of London and the wider UK economy. ","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Armstrong","Nicholls","Williams","O’Brien","Duenas-Lopez","Duke","Juergens"],"fullName":["Bowes, M.J.","Armstrong, L.K.","Nicholls, D.J.E.","Williams, M.","O’Brien, A.","Duenas-Lopez, M.A.","Duke, E.","Juergens, M.D."],"funder":["Natural Environment Research Council"],"givenName":["M.J.","L.K.","D.J.E.","M.","A.","M.A.","E.","M.D."],"grant":["NE/R016429/1"],"identifier":"703af27b-ce8c-44e0-ac20-b46e391a64ef","incomingCitationCount":0,"keyword":["Thames Catchment","Southeast England","Environmental risk","Water quality","water quality","chemistry","Nutrients","river pollution"],"keywordsOther":["water quality","chemistry","Nutrients","river pollution"],"keywordsPlace":["Thames Catchment","Southeast England"],"keywordsTheme":["Environmental risk","Water quality"],"licence":"Open government licence","lineage":"All water samples were collected by fieldworkers from the UK Centre for Ecology & Hydrology (UKCEH), Wallingford.  All chemical analysis was carried out by the Nutrient Chemistry Laboratories at CEH Wallingford.  ","locations":["POLYGON((-1.846 51.276, -1.846 52.176, 1.208 52.176, 1.208 51.276, -1.846 51.276))"],"metadataDate":"2026-06-29T16:31:24.000Z","observedPropertyValue":["Date","Site_name","Time","Sample_ID","Water_Temperature (oC)","Soluble_reactive_phosphorus_(µg P/L)","Total_dissolved_phosphorus_(µg _P/L)","Lab_pH","Total_phosphorus_(µg P/L)","Gran_alkalinity_µeq/L","Suspended_solids_mg/L","Dissolved_ammonium_(mg NH4/l)","Dissolved_silicon_(mg_Si/L) ","Chlorophyll-a_(µg/L)","Dissolved_fluoride_(mg_F/L)","Dissolved_chloride_(mg_Cl/L)","Dissolved_nitrite_(mg_NO2/L)","Dissolved_nitrate_(mg_NO3/L)","Dissolved_sulphate_(mg_SO4/L)","Total_dissolved_nitrogen_(mg_N/L)","Dissolved_organic_carbon_(mg/L)","Field_pH ","Conductivity_(µS/cm)","Redox_potential_(mV)","Dissolved_oxygen_(%_saturation)","Dissolved_oxygen_(mg/L)","Dissolved_Al_(mg/L)","Dissolved_B_(µg/L)","Dissolved_Ca_(mg/L)","Dissolved_Fe_(µg/L)","Dissolved_K_(mg/L)","Dissolved_Mg_(mg/L)","Dissolved_Na_(mg/L)","Dissolved_P_(mg/L)","Dissolved_S_(mg/L)","Dissolved_Si_(mg/L)","Dissolved_Mn_(µg/L)","Dissolved_Zn_(µg/L)","Dissolved_Cu_(µg/L)","Total_Na_(mg/L)","Total_Ca_(mg/L)","Total_Mg_(mg/L)","Total_B_(µg/L)","Total_Fe_(µg/L)","Total_Mn_(µg/L)","Total_Zn_(µg/L)","Total_Cu_(µg/L)","Total_Al_(µg/L)"],"orcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-6526-589X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/703af27b-ce8c-44e0-ac20-b46e391a64ef","10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef","doi:10.5285/703af27b-ce8c-44e0-ac20-b46e391a64ef"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises weekly water quality monitoring data of seven sites along the River Thames, UK, and sixteen of its major tributaries from Feburary 2009 to December 2023. Monitored determinands include major nutrient fractions, anions, cations, metals, pH, alkalinity,…","state":"published","supplementalDescription":["Bowes, M. J., Armstrong, L. K., Harman, S. A., Wickham, H. D., Nicholls, D. J. E., Scarlett, P. M., Roberts, C., Jarvie, H. P., Old, G. H., Gozzard, E., Bachiller-Jareno, N., & Read, D. S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637–1653. https://doi.org/10.5194/essd-10-1637-2018\n"],"title":"Weekly water quality data from the River Thames and its major tributaries, 2009-2023","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["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"]},{"authorAffiliation":["University of Exeter","University of Manchester","Swansea University","Universty of Exeter","University of Birmingham","Forest Research"],"authorFamilyName":["Belcher","Baker","Clay","Crawford","Doerr","Elliott","Ivison","Kettridge","Little","Morison","Nikonovas","Orpin","Tatkiewicz","Vitali"],"authorFullName":["Belcher, C.M.","Baker, S.J.","Clay, G.D.","Crawford, A.J.","Doerr, S.H.","Elliott, A.","Ivison, K.","Kettridge, N.","Little, K.","Morison, J.I.L.","Nikonovas, T.","Orpin, A.","Tatkiewicz, W.","Vitali, R."],"authorGivenName":["Claire M.","Sarah J.","Gareth D.","Alastair J.","Stefan H.","Andrew","Katy","Nicholas","Kerryn","James I. L.","Tadas","Alice","Witek","Rayanne"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains flammability metrics for fuel types that are commonly involved in wildfires in the UK.  Flammability data were obtained by cone calorimetry, and include measures of ignitibility (time to ignition), peak heat release rate, total heat release, and effective heat of combustion.  The dataset contains the results of 1634 tests on 833 fuel samples, with 801 of these being tested in duplicate.  Samples were obtained between January 2021 and October 2023 from 22 sites across Great Britain.  Calorimetry data are matched to weather data obtained at times of sampling, and fuel moisture contents obtained by weighing samples before and after drying.  The data will be used to assess comparative fire risk between vegetation types, and to refine inputs for fire behaviour modelling.","documentType":"GEMINI_DOCUMENT","familyName":["Belcher","Baker","Clay","Crawford","Doerr","Elliott","Ivison","Kettridge","Little","Morison","Nikonovas","Orpin","Tatkiewicz","Vitali"],"fullName":["Alastair Crawford","Belcher, C.M.","Baker, S.J.","Clay, G.D.","Crawford, A.J.","Doerr, S.H.","Elliott, A.","Ivison, K.","Kettridge, N.","Little, K.","Morison, J.I.L.","Nikonovas, T.","Orpin, A.","Tatkiewicz, W.","Vitali, R."],"funder":["Natural Environment Research Council"],"givenName":["Claire M.","Sarah J.","Gareth D.","Alastair J.","Stefan H.","Andrew","Katy","Nicholas","Kerryn","James I. L.","Tadas","Alice","Witek","Rayanne"],"grant":["NE/T003553/1"],"identifier":"45af9c3d-999d-44dd-83fc-b4d81632967d","incomingCitationCount":0,"keyword":["Environmental risk","Phenology","flammability","fuel moisture","wildfire","heat release","heat content","heat of combustion","cone calorimetry","ignitibility","Great Britain"],"keywordsOther":["flammability","fuel moisture","wildfire","heat release","heat content","heat of combustion","cone calorimetry","ignitibility","Great Britain"],"keywordsTheme":["Environmental risk","Phenology"],"licence":"Open government licence","lineage":"The samples were collected from 22 sites across Great Britain (see supporting documentation).  The general sampling regime included: (1) fortnightly sampling of lowland heath vegetation from March 2021 to February 2022; (2) monthly sampling of forest plantation litter from July 2022 to July 2023; and (3) monthly sampling of upland heaths and moorlands from July 2022 to July 2023, with sampling occasionally prevented by weather conditions or travel restrictions.  As data for low fuel moisture conditions is of particular importance, further sampling of lowland heaths was undertaken on days without precipitation, and additional sampling at one site (Woodbury Common) focused on periods of dry weather from May to October 2023.  Whether dead and/or live fuel samples were present varied seasonally according to species, and a small number of collected samples were lost during processing, or contained insufficient material to use two replicates for flammability testing.  Weather data were recorded on the majority of sampling occasions; this depended on the equipment available at the time and location and is therefore not consistent across the dataset.  Some individual weather data, fuel moisture values, and time-to-ignition values are missing due to human error.\nShrubs were sampled by cutting approximately the top 15 cm of the canopy, and non-woody plants by taking the whole aboveground plant.  Each litter sample was collected at a single point, and the duff samples from immediately beneath.  Weather data were recorded with a Kestrel 5400FW or 3550FW Fire Weather Meter (Kestrel instruments, USA).  Moisture content was preserved by sealing samples in zip-lock polythene bags (litter and vegetation) or polythene tubes (duff).  Laboratory processing began typically 24 hours after collection, excepting lowland heath vegetation which was tested on the day of collection.\nEach sample was divided to provide two subsamples for flammability testing and one for moisture content measurement.  Moisture content was obtained by weighing subsamples (c. 20 g), then placing them in a drying cabinet at 40-50° C until they reached constant weight.  The flammability subsamples were analysed in an 'iCone plus' cone calorimeter (Fire Testing Technology Ltd, East Grinstead, UK).  The weighed subsample is filled into a perforated steel cylinder of 375 cm3, and placed  25 mm beneath the heating element, set to 750° C, to achieve a heat flux of 50 kW m−2 at the surface of the sample.  The apparatus maintains an electric arc 15 mm above the surface to ignite the pyrolysate.  Time to ignition (TTI) is recorded manually.  The sample remains in place until flaming ceases, and the test time is defined as ending 20 s after cessation of flaming.  Non-ignition after 300 s (240 s for lowland heaths) results in the test being discontinued, as the fuel is considered non-ignitable in any realistic scenario.   PHRR, THR and EHC are calculated automatically and recorded after the test is complete.","locations":["POLYGON((-3.61 50.65, -3.61 57.43, 0.76 57.43, 0.76 50.65, -3.61 50.65))"],"metadataDate":"2026-06-29T17:13:21.000Z","organisation":["University of Exeter","University of Manchester","Swansea University","Universty of Exeter","University of Birmingham","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/45af9c3d-999d-44dd-83fc-b4d81632967d","10.5285/45af9c3d-999d-44dd-83fc-b4d81632967d","doi:10.5285/45af9c3d-999d-44dd-83fc-b4d81632967d"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains flammability metrics for fuel types that are commonly involved in wildfires in the UK.  Flammability data were obtained by cone calorimetry, and include measures of ignitibility (time to ignition), peak heat release rate, total heat release, and…","state":"published","title":"Flammability metrics from cone calorimetry for common wildfire fuels sampled in Great Britain from 2021-2023","topic":["0/Environmental risk/","0/Phenology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research"],"authorFamilyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"authorFullName":["Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"authorGivenName":["C.L.","C.","M. ","N.A.","L.A."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants and shrubs), fungi, earthworms, bees, wood mice, bank voles, common frogs, frogspawn and European toads were collected between March 2015 and October 2016 from two forests in north-east England. The study was conducted to target representative terrestrial species of the ICRPs Reference Animals and Plants.\n\nFunding for this work was via the TREE project funded by NERC, the Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Wells","Izquierdo","Beresford","Walker"],"fullName":["Barnett, C.","Barnett, C.L.","Wells, C.","Izquierdo, M.","Beresford, N.A.","Walker, L.A."],"funder":["Natural Environment Research Council","Environment Agency","Radioactive Waste Management Ltd"],"givenName":["Cath","C.L.","C.","M. ","N.A.","L.A."],"grant":["NE/L000318/1"],"identifier":"8f85c188-a915-46ac-966a-95fcb1491be6","incomingCitationCount":1,"keyword":["TREE","Radioecology","Environmental risk","Environmental survey","radionuclide","caesium"],"keywordsOther":["radionuclide","caesium"],"keywordsProject":["TREE"],"keywordsTheme":["Radioecology","Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"Data consist of stable element and radionuclide concentrations, and estimated concentration ratios for biota, soil and water collected from two forests in north-east England (March 2015 to October 2016). Samples were analysed by ICP-MS and, where sample size was sufficient, gamma analysis.\n\nSoil: pH and loss on ignition were determined.\n\nWater: Samples were filtered through Whatman 541 filter paper. \n\nWood mice: Trapping was conducted using \"Longworth\" traps. Randomly selected individuals were dissected and a beetle (Dermestes maculatus) colony was used to clean the bones of soft tissue. \n\nBank voles: Trapping was conducted as for Wood mice. Vole samples were ashed. \n\nBee species: Pan traps were placed on the ground. Bees collected were bulked by species and homogenised in an agate mortar. \n\nEarthworms: Worms were collected by digging to circa 30 cm, they were rinsed in de-ionised water and placed on damp tissue paper to allow gut evacuation. Samples were bulked by species and homogenised by agate mortar. \n\nCommon frogs and spawn: Frogs were collected by hand during darkness. Randomly selected individuals were dissected and a beetle colony used to clean bones. Spawn samples were washed in de-ionised water and freeze-dried prior to homogenisation in an agate mortar. \n\nEuropean toads: Toads were collected as for frogs. Randomly selected individuals had their gastrointestinal tract removed, the remaining carcass was washed in de-ionised water and then ashed. \n\nRoe deer: Deer were obtained via the Forestry Commission. Animals were dissected and all bone/carcass samples were cleaned by placing in a beetle colony. Tissue samples were freeze dried and homogenised using an agate mill or mortar. \n\nPine Trees: Samples were collected of small branches, needles and heartwood core (sampled using an increment borer). Samples were air dried (~20oC) and the needles and branches subsequently finely ground using an agate mill or mortar (dependent upon size); the core samples were reduced manually to ~5mm in diameter. \n\nWild grasses: Samples of both leaf and flowering stems were collected. They were air dried and finely ground (using an agate mill or mortar dependent upon sample size). \nHerbaceous plants and shrubs: Opportunistic samples were collected from a variety of species abundant at the main sampling sites and from areas where the roe deer were obtained.  Samples were air dried and finely ground (using an agate mill or mortar). \n\nFungi: Opportunistic samples of fungal fruiting bodies were collected mainly from areas where the roe deer were obtained. Samples were identified by species, oven dried (~60oC) and subsequently finely ground (~2mm) using either an agate mortar or \"coffee\" grinder depending upon sample size. Species were bulked by sampling location and, were possible, by feeding strategy. \n\nICP-MS analysis was conducted using a Thermo-Fisher Scientific iCAP-Q. Samples subjected to ashing pre-treatment had undissolved black particles in the solutions which suggests digestion was incomplete. Similarly, TMAH digestion is not able to fully digest plant material therefore variable degrees of dissolution were observed; pine tree core samples showed poor dissolution rates and therefore the iodine concentrations reported may be underestimated. Digestion of replicates, reference materials and blanks were undertaken to check accuracy and precision. Detection limits were calculated as three times the standard deviation of the reagent blanks. \n\nGamma analysis was conducted using hyper-pure germanium detectors calibrated for efficiency using a certified reference solution (National Physics Laboratory R08-04). Spectra were analysed using Canberra Apex software and activity concentrations decay corrected to the day of sampling. Replicate analyses were conducted on random samples and process blanks for quality assurance purposes. ","locations":["POLYGON((-2.892 53.197, -2.892 55.44, 1.197 55.44, 1.197 53.197, -2.892 53.197))"],"metadataDate":"2026-06-29T16:39:04.000Z","orcid":["https://orcid.org/0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Environmental Assessment and Water Research","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8f85c188-a915-46ac-966a-95fcb1491be6","10.5285/8f85c188-a915-46ac-966a-95fcb1491be6","doi:10.5285/8f85c188-a915-46ac-966a-95fcb1491be6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise stable element concentrations for a range of elements, radionuclide activity concentrations for the isotopes K-40 and Cs-137 and radionuclide and stable element concentration ratios.\n\nSamples of soil, water, vegetation (grasses, trees, herbaceous plants…","state":"published","supplementalDescription":["Transfer parameters for ICRP reference animals and plants collected from a forest ecosystem. Barnett, C.L.; Beresford, N.A.; Walker, L.A.; Baxter, M.; Wells, C.; Copplestone, D. (2014). Radiation and Environment Biophysics, 53, 125-149. "],"title":"Element and radionuclide concentrations in wildlife (including representative species of the ICRP's Reference Animals and Plants) and associated soils from forests in north-east England, 2015-2016","topic":["0/Radioecology/","0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Extremadura","University of Nottingham","Centre for Ecology & Hydrology"],"authorFamilyName":["Guillén","Izquierdo","Young","Wells","Barnett","Beresford","Baeza","Salas","Muñóz-Serrano","Corrales-Vázquez","Muñoz-Muñoz","Tovar","Chaplow"],"authorFullName":["Guillén, J.","Izquierdo, M.","Young, S.","Wells, C.","Barnett, C.L.","Beresford, N.A.","Baeza, A.","Salas, A.","Muñóz-Serrano, A.","Corrales-Vázquez, J.M.","Muñoz-Muñoz, J.G.","Tovar, E.","Chaplow, J.S."],"authorGivenName":["J.","M.","S.","C.","C.L.","Nicholas A.","A.","J.M.","J.G.","E.","J.S."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"authorRor":["https://ror.org/0174shg90","https://ror.org/01ee9ar58","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise stable element concentrations in terrestrial Reference Animals and Plants (RAPs) and corresponding whole-body concentration ratios determined in two different Mediterranean ecosystems: a Pinewood and a Dehesa (grassland with disperse tree cover). The International Commission on Radiological Protection (ICRP) RAPs considered in the Pinewood ecosystem were Pine Tree and Wild Grass; whereas in the Dehesa ecosystem those considered were Deer, Rat, Earthworm, Bee, Frog, Duck and Wild Grass.\n\nThe data include: elemental concentrations in soils; elemental concentrations in  plants, invertebrates, vertebrate tissues and estimated concentrations for vertebrate whole-organisms; individual concentration ratios (relating the fresh matter concentration in organisms to the dry matter concentration in soil); vertebrate species tissue masses; fresh to dry matter data for invertebrate species; geometric and arithmetic mean and standard deviation summaries for elemental concentrations and concentration ratios.\n\nElemental concentrations presented include  I, Li, Be, B, Na, Mg, Al, P, S, K. Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Se, Rb, Sr, Mo, Ag, Cd, Cs, Ba, Tl, Pb and U.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Guillén","Izquierdo","Young","Wells","Barnett","Baeza","Salas","Muñóz-Serrano","Corrales-Vázquez","Muñoz-Muñoz","Tovar","Chaplow"],"fullName":["Beresford, N.A.","Guillén, J.","Izquierdo, M.","Young, S.","Wells, C.","Barnett, C.L.","Baeza, A.","Salas, A.","Muñóz-Serrano, A.","Corrales-Vázquez, J.M.","Muñoz-Muñoz, J.G.","Tovar, E.","Chaplow, J.S."],"funder":["Natural Environment Research Council"],"givenName":["Nicholas A.","J.","M.","S.","C.","C.L.","A.","J.M.","J.G.","E.","J.S."],"grant":["NE/L000318/1"],"identifier":"a1ab8c79-3426-43a4-ab42-6d1b218d1cc6","incomingCitationCount":2,"keyword":["Dehesa","Spain","Radioecology","Apis mellifera","Pelophylax perezi","Briza minor","Apodemus sylvaticus","Cervus elaphus","Anas platyrhynchos"],"keywordsOther":["Apis mellifera","Pelophylax perezi","Briza minor","Apodemus sylvaticus","Cervus elaphus","Anas platyrhynchos"],"keywordsPlace":["Dehesa","Spain"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Samples of earthworms (Lumbricidae spp), bees (Apis mellifera), frogs (Pelophylax perezi), rats (Apodemus sylvaticus), deer (Cervus elaphus): duck (Anas platyrhynchos), wild grass (Briza minor), pine tree and soil were collected. Samples were prepared for analysis (dried and ground where applicable) and digested prior to ICP-MS analysis. Iodine analysis was also performed. Full materials and methods available by downloading the supporting documentation.","locations":["POLYGON((-7.539 37.864, -7.539 40.584, -4.747 40.584, -4.747 37.864, -7.539 37.864))"],"metadataDate":"2026-06-29T16:37:48.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","University of Extremadura","University of Nottingham","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1ab8c79-3426-43a4-ab42-6d1b218d1cc6","10.5285/a1ab8c79-3426-43a4-ab42-6d1b218d1cc6","doi:10.5285/a1ab8c79-3426-43a4-ab42-6d1b218d1cc6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0174shg90","https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise stable element concentrations in terrestrial Reference Animals and Plants (RAPs) and corresponding whole-body concentration ratios determined in two different Mediterranean ecosystems: a Pinewood and a Dehesa (grassland with disperse tree cover). The International…","state":"published","supplementalDescription":["Barnett, C.L., Beresford, N.A., Walker, L.A., Baxter, M., Wells, C., & Copplestone, D. (2013). Transfer parameters for ICRP reference animals and plants collected from a forest ecosystem. Radiation and Environmental Biophysics, 53(1), 125-149","IAEA (Contributors: Howard, B.J., Beresford, N.A.,Barnett, C.L.,  Wells, C.) 2014 Handbook of parameter values for the prediction of radionuclide transfer to wildlife. Technical Reports Series No. 479 (Beresford, N.A., Howard, B.J. [Eds]) IAEA, Vienna. "],"title":"Elemental concentrations in representative species of the ICRP's Reference Animals and Plants and associated soils in terrestrial Mediterranean ecosystems in Spain","topic":["0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["https://orcid.org/0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material property data. Below ground films were either in fine or coarse mesh bags (filled with 20g soil and 5x5 cm plastic piece) to allow only microfauna or micro-, meso-, and macrofauna interaction. The aim of this experiment was to identify the degradation rates of mulch films under UK weather conditions, their microplastic generation rates, and their effect on soil properties and microbial communities (microbial data has been deposited with NCBI: PRJNA1229197). The details can be found in the lineage field and the supporting document.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["M.","Martine","David R","Davey L"],"grant":["NE/V005871/1"],"identifier":"76322cd6-a420-42e1-9495-5ed929b1c289","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Soil","chemical degradation","mulch","plastic","soil","soil biodiversity"],"keywordsOther":["chemical degradation","mulch","plastic","soil","soil biodiversity"],"keywordsTheme":["Agriculture","Environmental risk","Soil"],"licence":"Open government licence","lineage":"Plastic:\n-\tFilm thickness: Measured with a thickness gauge. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tFilm surface roughness: Measured with a surface roughness tester. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tChemical spectra (FTIR): Data was recorded using Cary 630 (Agilent) ATR-FTIR, exported as individual spectra csv files. Data was then combined for each plastic type.\n\nSoil:\n-\tMoisture at 5 cm depth: Data was recorded using TDT-12 Acclima sensors buried at 10 cm soil depth. Data was recorded on datasnaps, exported as Excel file, then exported as csv file.\n-\tTemperature at 5 cm depth: Data was recorded using TDT-12 Acclima sensors buried at 10 cm soil depth. Data was recorded on datasnaps, exported as Excel file, then exported as csv file.\n-\tSurface temperature: Data was recorded using iButtons placed on the soil surface. Data was exported as csv file.\n-\tMicroplastic concentration: Samples were analysed using 8700 LDIR chemical imaging. Data was exported as Excel files, then exported as csv files.\n-\tpH and electrical conductivity: Soil was analysed in a 1:2.5 soil:distilled water solution using standard electrodes. Data recorded in paper notebook, then transferred to Excel file. Excel file exported as csv file.\n-\tNutrients (ammonium, nitrate, phosphate, DOC): Soil was analysed in a 1:5 soil:0.5 M K2SO4 solution using colorimetric analysis for ammonium and nitrate, and a TOC analyser for DOC. Data was exported as Excel files from respective instruments, then exported as csv file.\n\nEnvironmental data:\n-\tAir temperature: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tPrecipitation: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tWind speed: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tSolar radiation: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-06-29T16:46:04.000Z","orcid":["https://orcid.org/0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/76322cd6-a420-42e1-9495-5ed929b1c289","10.5285/76322cd6-a420-42e1-9495-5ed929b1c289","doi:10.5285/76322cd6-a420-42e1-9495-5ed929b1c289"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material…","state":"published","title":"Degradation and microplastic generation, with associated soil properties and microbial communities, of mulch films exposed above and below ground over 12 months, North Wales, UK","topic":["0/Agriculture/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Birmingham","University of Exeter","Université du Québec à Montréal"],"authorFamilyName":["Ivison","Little","Belcher","Crawford","Davidson","Graham","Kettridge"],"authorFullName":["Ivison, K.","Little, K.","Belcher, C.M.","Crawford, A.J.","Davidson, S.J.","Graham, L.J.","Kettridge, N."],"authorGivenName":["K.","C.M.","A.J.","S.J.","L.J.","N."],"authorRor":["https://ror.org/03angcq70","https://ror.org/03yghzc09","https://ror.org/002rjbv21"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains fuel moisture contents and flammability metrics for samples of common heather (Calluna vulgaris) collected across the United Kingdom between 15th April and 20th May 2023.  A total of 830 samples were used to measure fuel moisture content (FMC), and 130 of these were also subjected to calorimetric analysis.  FMC data were obtained gravimetrically by weighing samples before and after drying.  Flammability data were obtained by micro-scale combustion calorimetry, which measures heat release related to flaming combustion of a fuel material.  The flammability metrics recorded were the heat release capacity (HRC), peak heat release rate (PHRR), total heat release (THR), and temperature at maximum rate of decomposition (Tmax).  These data will contribute to the development of models of fuel moisture variability in UK fuels, and thus refine inputs for fire behaviour modelling, which can inform land management strategies in relation to wildfire risk.","documentType":"GEMINI_DOCUMENT","familyName":["Ivison","Little","Belcher","Crawford","Davidson","Graham","Kettridge"],"fullName":["Alastair Crawford","Ivison, K.","Little, K.","Belcher, C.M.","Crawford, A.J.","Davidson, S.J.","Graham, L.J.","Kettridge, N."],"funder":["Natural Environment Research Council","European Union"],"givenName":["K.","C.M.","A.J.","S.J.","L.J.","N."],"grant":["NE/T003553/1","860787"],"identifier":"64d340d7-8f19-49f9-90e0-83d4013e76c2","incomingCitationCount":0,"keyword":["Environmental risk","wildfire","fuel moisture","flammability","heathland","fire","citizen science","Calluna vulgaris"],"keywordsOther":["wildfire","fuel moisture","flammability","heathland","fire","citizen science","Calluna vulgaris"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Volunteers were requested to collect samples on 19 April 2023, or as close as possible to this date, based on forecasts of dry, fire-prone weather for the UK.  At each sampling location, the approximate height of the heather canopy was measured, and live C. vulgaris was clipped from c. 10 plants along a 20 m transect.  Samples from each transect were combined in an aluminium tin, sealed with tape to prevent moisture loss, and sent for analysis by priority mail.  Samples for fuel moisture analysis only (n = 700) were weighed, dried at 80°C for 48 h, and then reweighed.\n\nSamples for calorimetric analysis (n = 130) were analysed using an FAA Micro Calorimeter (Fire Testing Technology Ltd, East Grinstead, UK).  Two subsamples of 6.2‒31.1 mg were analysed from each sample.  The heating rate of the pyrolysis chamber was set to 3°C s-1, the maximum pyrolysis temperature to 750°C, and the combustion chamber temperature to 900°C.  The N₂ flow rate was set to 80 cm³ min-1 and the O₂ flow rate to 20 cm³ min-1.  For each flammability metric (HRC, PHRR, THR and Tmax) the mean of the tests for the two subsamples was taken.  The remainder of each sample was used to obtain FMC: the sample was weighed, then dried at 50 °C until it reached constant weight.\n\nFuel moisture was defined as: Fuel Moisture = ((wet mass - dry mass) / dry mass) × 100","locations":["POLYGON((-7.63 50.01, -7.63 58.66, 1.11 58.66, 1.11 50.01, -7.63 50.01))"],"metadataDate":"2026-06-29T18:29:11.000Z","organisation":["University of Exeter","University of Birmingham","Université du Québec à Montréal","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/64d340d7-8f19-49f9-90e0-83d4013e76c2","10.5285/64d340d7-8f19-49f9-90e0-83d4013e76c2","doi:10.5285/64d340d7-8f19-49f9-90e0-83d4013e76c2"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03yghzc09","https://ror.org/03angcq70","https://ror.org/002rjbv21","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains fuel moisture contents and flammability metrics for samples of common heather (Calluna vulgaris) collected across the United Kingdom between 15th April and 20th May 2023.  A total of 830 samples were used to measure fuel moisture content (FMC),…","state":"published","title":"Fuel moisture and micro-scale combustion calorimetry data for Calluna vulgaris across the UK, April-May 2023","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland"],"authorFamilyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"authorFullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"authorGivenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in liver tissues for 68 polecats found dead in Great Britain between 2013 and 2016. \n\nAll carcasses were stored frozen until necropsy examination at the National Museum of Scotland (with support from The Negaunee Foundation). \n\nLiver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Funding for the rodenticide analysis was provided by the People's Trust for Endangered Species and CEH.\n\nPhD funding from The Vincent Wildlife Trust and the University of Exeter.","documentType":"GEMINI_DOCUMENT","familyName":["Sainsbury","McDonald","Shore","Pereira","Sleep","Schofield","Croose","Kitchener","Hantke"],"fullName":["Sainsbury, K.A.","McDonald, R.A.","Shore, R.F.","Pereira, M.G.","Sleep, D.","Schofield, H.","Croose, E.","Kitchener, A.C.","Hantke, G."],"funder":["Vincent Wildlife Trust"],"givenName":["K.A.","R.A.","R.F.","M.G.","D.","H.","E.","A.C.","G."],"identifier":"2f49911c-192c-4f09-a1a2-72a21f20706c","incomingCitationCount":1,"keyword":["Environmental risk","Environmental survey","Agriculture","European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsOther":["European polecat","Mustela putorius","forest polecat","black polecat"],"keywordsTheme":["Environmental risk","Environmental survey","Agriculture"],"licence":"Open government licence","lineage":"Polecat carcasses were collected as part of a national monitoring survey carried out by the Vincent Wildlife Trust between December 2013 and March 2016.  Sixty-eight carcasses were selected for rodenticide analysis, based on stratification by sex, location and collection date.  Of the animals selected 56 were road traffic casualties; the remainder were found dead in fields, killed by dogs, trapped or the cause of death was unknown. \nCollection date and location were recorded for all carcasses, which were stored frozen until necropsy examination at the National Museum of Scotland. The poor condition of the majority of the carcasses precluded assessment of clinical signs of exposure to rodenticides. Where carcass condition allowed, gross necropsy examination included recording of sex, head and body length (nose to tip of tail), mass and internal fat, scored on a five-point scale. Teeth (for ageing), whiskers (for stable isotope analysis) and liver tissue (for rodenticide analysis) were collected.  Liver samples were frozen and transferred to the Centre for Ecology & Hydrology (CEH) for rodenticide analysis. Whiskers were prepared for analysis at the University of Exeter and analysed at Elemtex, UK and teeth were sent to Matson’s Lab LLC, USA for aging by analysis of cementum layers.\nRodenticide analysis: Concentrations of the five SGARs licensed for use in Great Britain (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) were determined in the polecat livers. A 0.25 g sub-sample of each liver was thawed, weighed accurately, ground and dried with anhydrous sodium sulphate. Labelled standard (d5- Bromadiolone, QMx) was added to each sample for quality control purposes and determination of analyte recovery.  Each liver sub-sample was solvent-extracted and then cleaned-up using size exclusion chromatography followed by elution through solid-phase cartridges. Extraction was carried out twice with clean solvent. Each extraction involved vortex mixing of the sample with 1:1 v/v chloroform:acetone, mechanical shaking and centrifugation. The resultant supernatants from the two extraction runs were combined, solvent-exchanged into (1:1; v/v) chloroform:acetone, filtered (0.2 mm PTFE filter), subjected to a further solvent exchange into (1:23; v/v) acetone:DCM, filtered again, and cleaned-up by size-exclusion chromatography (Agilent 1200 HPLC).  The cleaned extract was solvent-exchanged into 1:1:8; v/v. chloroform:acetone:acetonitrile and underwent a second clean-up using solid phase, methanol-washed, acetonitrile-activated extraction cartridges (ISOLUTE® SI 500 mg, 6 ml).  The cartridges were eluted with the same solvent and the eluate exchanged for the mobile phase.\nLiver SGAR residues were quantified by HPLC linked to a triple quadrupole mass spectrometer interfaced with an ion max source in Atmospheric Pressure Chemical Ionisation mode (APCI) with negative polarity.  Full details of the operational parameters used are as given by Walker et al. (2017).  All rodenticide standards (Dr Ehrenstorfer) were matrix matched and linear calibration curves were defined such that R2>0.99. A blank was run with each batch of unknowns.  The mean method limit of detection (LOD) across batches for each compound was 0.0014 µg/g, except for difethialone which was 0.0022 µg/g. The mean (± SE) recovery for the total procedure was calculated from the labelled bromadiolone standard applied to each sample and was 68.0 ±2.1%. Liver SGAR concentrations were not recovery corrected and are expressed on a wet weight basis.  Summed (Σ) SGAR liver concentrations in individual animals were calculated by summing the concentrations of the five different SGARs, a zero concentration being assigned to individual compounds that were not detected.\nStable isotope analysis: Whiskers were gently rinsed in distilled water and then freeze dried for 24 hours. One whisker per animal was cut into ~1mm segments using a scalpel, starting at the proximal end of the whisker. Consecutive segments were pooled until the summed sample weight was ~0.7 mg.  The sample was enclosed in a tin cup and put into a tray for analysis. The next segment was prepared in the same way and the process was further repeated until either the whole whisker was used, or less than 0.2 mg was remaining.  Samples were analysed on a Thermoquest EA1110 elemental analyser linked to a Europa Scientific 2020 isotope ratio mass spectrometer at Elemtex Ltd (Cornwall, UK) for δ15N and δ13C. δ15N and δ13C abundance are reported as δ-values and expressed as a per mil (‰) deviation from the international reference standards (PDB for carbon and AIR for nitrogen). Replicate analysis of standards (USGS 40, USGS 41 and an in-house bovine liver standard) yielded standard deviations of 0.05 – 0.29 for δ15N and 0.05 – 0.22 for δ13C. \nCementum ageing was undertaken by Matson’s Lab LLC (Manhattan, MT, USA) following a standard protocol. After decalcification in a weak hydrochloric acid solution, teeth were sectioned sagittally and mounted on glass slides. The sections were stained to allow visual differentiation of annual cementum growth layers. These layers (annuli) were examined microscopically for age estimation at time of death. Birth date was set to 1 May for the purpose of estimating age in months.\nCalibration with historical dataset: Combination of new and historical data involved applying the limits of detection (LOD) for each compound from Shore et al. (2003), which were higher than those in the present study, to eliminate biases caused by changes in analytical sensitivity.\nFor full references please refer to the supporting document.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:05:14.000Z","organisation":["University of Exeter","Centre for Ecology & Hydrology","The Vincent Wildlife Trust","National Museums Scotland","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f49911c-192c-4f09-a1a2-72a21f20706c","10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c","doi:10.5285/2f49911c-192c-4f09-a1a2-72a21f20706c"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/03fp5k922","https://ror.org/00pxfwe85","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise measurements of carcass condition (age, sex, length, mass and fat score), age (from stable isotope analysis of whiskers and Cementum aging of teeth) and rodenticide concentrations (bromadiolone, difenacoum, brodifacoum, flocoumafen and difethialone) in…","state":"published","title":"Secondary exposure to second-generation anticoagulant rodenticides in European polecats (Mustela putorius) in Great Britain 2013 to 2016","topic":["0/Environmental risk/","0/Environmental survey/","0/Agriculture/"],"version":1.0,"view":["public","jgar"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=4&facet=topic%7C(0/Environmental%20risk/%20OR%200/Radioecology/)"}