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B.V."],"authorGivenName":["L.","K.","G.","F.","D.E.L","R.","B.V"],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate suitability (using pathogen-specific temperature-dependent growth curves and a relative humidity threshold), proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder under forestry grant schemes. Data and models used to score risk factors are variable in their time frames, but are broadly representative of the period from 2013 to 2023. Phytophthora disease of alder has been widespread in southern England since at least 1995 and became more prevalent in annual surveys between 1994 and 2003. It has been confirmed at several riparian sites in Scotland. P. x alni diseases are reported only from the alder genus.","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L.","K.","G.","F.","D.E.L","R.","B.V"],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","incomingCitationCount":0,"keyword":["Environmental risk","Environmental survey","biodiversity","exotic species","forest","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","Scotland"],"keywordsOther":["biodiversity","exotic species","forest","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","Scotland"],"keywordsTheme":["Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland's plant health sector representing forestry, conservation, horticulture, and government agencies through a semi-structured process of survey and workshops. Fragments containing alder species were extracted from the National Forest Estate Sub-compartments 2019, Native Woodland Survey of Scotland and global database of host-Phytophthora detections, removing any felled areas since 2013 using the National Forest Inventory. Key risk factors (climate suitability, proximity to rivers/flooding, connectivity to other alder fragments via flood events and recent planting of alder) and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of the climate suitability models has been attempted using independent UK and European detections of Phytophthora x alni.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:23:53.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370","doi:10.5285/824f9ba8-7d1c-4a82-b5ec-a4f850f1d370"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset scores the relative risks of Phytophthora x alni infection for 50034 fragments in Scotland identified as containing any of the three alder species susceptible to the pathogen (common alder, Italian alder and grey alder). Fragment risk scores integrate climate…","state":"published","title":"Spatial risk analysis for Phytophthora x alni infection of alder fragments in Scotland","topic":["0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Noguera","Bulut","Chevuturi","Barker","Hannaford"],"authorFullName":["Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"authorGivenName":["I","B","A","L.J","J"],"authorOrcid":["https://orcid.org/0000-0002-0696-9504","https://orcid.org/0000-0003-4567-5258","https://orcid.org/0000-0003-2815-7221","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Standardized Evapotranspiration Deficit Index (SEDI), and the Standardized Vapor Pressure Deficit Index (SVPDI). This dataset is available on a global scale covering 1-12, 18, 24, 48-month time scales for the period 1980 to 2024, with high spatial (0.1 degrees) and temporal (weekly and monthly) resolution. GMID was generated using different meteorological input datasets, including: Multi-Source Weighted-Ensemble Precipitation (MSWEP) v2.8 (https://www.gloh2o.org/mswep/), Global Land Evaporation Amsterdam Model (GLEAM) v4.2a (https://www.gleam.eu/), and Multi-Source Weather (MSWX) vMSWX-Past (https://www.gloh2o.org/mswx/).\n\nThe GMID dataset is provided weekly and monthly, including two versions of the five drought indices: one generated using the \"reference\" approach (i.e., based on the probability distribution typically recommended in the literature for calculating these drought indices), and another using the \"best-fit\" approach (i.e., based on the probability distributions that provide better normalised resulting series for each case). GMID represents a comprehensive and robust global long-term dataset for drought (and flash drought) assessment, which will be further updated annually as input data become available.","documentType":"GEMINI_DOCUMENT","familyName":["Noguera","Bulut","Chevuturi","Barker","Hannaford"],"fullName":["Ivan Noguera","Noguera, I.","Bulut, B.","Chevuturi, A.","Barker, L.J.","Hannaford, J."],"funder":["Natural Environment Research Council"],"givenName":["I","B","A","L.J","J"],"grant":["NE/X006247/1"],"identifier":"f5ce92b0-03e8-4719-82ff-c62e6ebe927b","incomingCitationCount":0,"keyword":["Climate and climate change","Hydrology","Agriculture","Environmental risk","drought","flash drought","Standardized Precipitation Index (SPI)","Evaporative Drought Demand Index (EDDI)","Standardized Precipitation Evapotranspiration Index (SPEI)","Standardized Evapotranspiration Deficit Index (SEDI)","Standardized Vapor Pressure Deficit Index (SVPDI)","standardized drought indices","multiscalar"],"keywordsOther":["drought","flash drought","Standardized Precipitation Index (SPI)","Evaporative Drought Demand Index (EDDI)","Standardized Precipitation Evapotranspiration Index (SPEI)","Standardized Evapotranspiration Deficit Index (SEDI)","Standardized Vapor Pressure Deficit Index (SVPDI)","standardized drought indices","multiscalar"],"keywordsTheme":["Climate and climate change","Hydrology","Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"The drought indices were obtained by the standardization of different meteorological variables: precipitation, potential evapotranspiration, climatic water balance, evapotranspiration deficit and vapor pressure deficit.\n\nTwo different methods (\"reference\" and \"best-fit\" approach) were employed to standardize the variables. Reference version of the indices was calculated the probability distribution recommended by previous studies that explored the suitability of different probability distributions to calculate each drought index. By contrast, Best-fit version of the indices was calculated based on the probability distributions that provide better normalised resulting series for each case according to Shapiro-Wilks test.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:26:08.000Z","orcid":["https://orcid.org/0000-0002-0696-9504","https://orcid.org/0000-0003-4567-5258","https://orcid.org/0000-0003-2815-7221","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b","doi:10.5285/f5ce92b0-03e8-4719-82ff-c62e6ebe927b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Here, we present the Global Multi-Index Drought (GMID) dataset, which includes some of the most used and widely recommended standardised drought indices: the Standardized Precipitation Index (SPI), the Evaporative Drought Demand Index (EDDI), the Standardized Precipitation…","state":"published","supplementalDescription":["Wang, X., Alharbi, R. S., Baez-Villanueva, O. M., Green, A., McCabe, M. F., Wada, Y., Van Dijk, A. I. J. M.,\nAbid, M. A., & Beck, H. E., (2025). Saudi Rainfall (SaRa): Hourly 0.1° Gridded Rainfall (1979-Present)\nfor Saudi Arabia via Machine Learning Fusion of Satellite and Model Data. Hydrology and Earth\nSystem Sciences 29, 4983-5003.","Miralles, D.G., Bonte, O., Koppa, A., Baez-Villanueva, O.M., Tronquo, E., Zhong, F., Beck, H.E., Hulsman, P., Dorigo, W.A., Verhoest, N.E.C., Haghdoost, S.,  GLEAM4: global land evaporation and soil moisture dataset at 0.1° resolution from 1980 to near present, Scientific Data, 12, 416, 2025","Beck, H. E., van Dijk, A. I. J. M., Larraondo, P. R., McVicar, T. R., Pan, M., Dutra, E., and Miralles, D. G., MSWX: global 3‑hourly 0.1° bias-corrected meteorological data including near real-time updates and forecast ensembles. Bulletin of the American Meteorological Society 103, E710-E732."],"title":"High-resolution Global Multi-Index Drought (GMID) dataset, 1980-2024","topic":["0/Climate and climate change/","0/Hydrology/","0/Agriculture/","0/Environmental risk/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","ECOMatters Inc"],"authorFamilyName":["Howard","Wells","Barnett","Sheppard"],"authorFullName":["Howard, B.J.","Wells, C.","Barnett, C.L.","Sheppard, S."],"authorGivenName":["B.J.","C.","C.L.","S."],"authorOrcid":["https://orcid.org/0000-0002-9698-9524"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radioactivity transfer parameter and concentration ratio values for gastrointestinal contents of ruminants (cows and goats) to milk. The derived transfer values and concentration ratios were originally reported in the Handbook of Parameter Values for the Prediction of Radionuclide Transfer in Terrestrial and Freshwater Environment. Technical Reports Series TRS 472  but now include newly compiled data for both goat and cow milk.","documentType":"GEMINI_DOCUMENT","familyName":["Howard","Wells","Barnett","Sheppard"],"fullName":["Howard, B.J.","Wells, C.","Barnett, C.L.","Sheppard, S."],"givenName":["B.J.","C.","C.L.","S."],"identifier":"7713d170-f6a3-4aa7-83c8-fe91278517ce","incomingCitationCount":1,"keyword":["Pollution","Radioecology","Radionuclides","transfer parameter","cow milk","concentration ratio"],"keywordsOther":["Radionuclides","transfer parameter","cow milk","concentration ratio"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"The transfer parameter table for cow milk data published in the table has been created using a compilation of transfer parameter values in a dataset held by the Centre for Ecology & Hydrology. The transfer parameter values have been derived using procedures for data collation and reporting agreed by the International Atomic Energy Agency's EMRAS programme working group that compiled TRS 472 (IAEA, 2010).  Quality control procedures were agreed by the working group to ensure that only data which fulfilled various criteria were included. The QC and data compilation procedures are briefly outlined in (IAEA 2010) and more fully in IAEA (2009). In the following IAEA MODARIA programme, further data quality control was performed, the procedures for which are outlined in the goat milk paper in Howard et al (2016).","metadataDate":"2026-06-29T18:01:41.000Z","orcid":["https://orcid.org/0000-0002-9698-9524"],"organisation":["Centre for Ecology & Hydrology","ECOMatters Inc","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7713d170-f6a3-4aa7-83c8-fe91278517ce","10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce","doi:10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radioactivity transfer parameter and concentration ratio values for gastrointestinal contents of ruminants (cows and goats) to milk. The derived transfer values and concentration ratios were originally reported in the Handbook of Parameter Values for the…","state":"published","supplementalDescription":["International Atomic Energy Agency (IAEA) . Handbook of Parameter Values for the Prediction of Radionuclide Transfer in Terrestrial and Freshwater Environment. Technical Reports Series No. 472. IAEA, Vienna, 2010."],"title":"Transfer of radionuclides to cow and goat milk","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Perry","Cavers"],"authorFullName":["Perry, A.","Cavers, S."],"authorGivenName":["A.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine.\n\nData include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement, record of branching and a defoliation assessment for each tree in the trial plus measurements of individual infected needles (length of lesions, number of lesions per needle, length of needle).\n\nThe trial was transplanted from CEH Edinburgh in April 2013 to Torrs Warren forest, Galloway, a site known to be infected with Dothistroma needle blight (DNB), caused by Dothistroma septosporum. The experiment ran until September 2015 with infection assessments (% estimated DNB severity per tree) performed roughly every 6 months from September 2013.\n","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Cavers"],"fullName":["Perry, A.","Cavers, S."],"givenName":["Annika","A.","S."],"identifier":"99e028cc-4c3c-490b-bade-b9ef062a16e8","incomingCitationCount":1,"keyword":["Environmental risk","Dothistroma septosporum","Pinus sylvestris"],"keywordsOther":["Dothistroma septosporum","Pinus sylvestris"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"There are eight Scottish Scots pine populations (Ballochbuie, Blackwood of Rannoch, Beinn Eighe, Coille Coire Chuilc, Glen Affric, Glen Loy, Glen Tanar, Rothiemurcus) with four families per population each consisting of six individuals = total 192 trees. The trees were grown from seed collected at each site, and germinated in spring 2007 at CEH Edinburgh. They were transplanted in 2013 when they were six years old. The transplantation site at Torrs Warren was adjacent to stands of Corsican and lodgepole pine which were infected with Dothistroma needle blight.\n\nThe trees were transplanted in 6 litre pots and were staked to the ground at 0.5 m spacing. A guard row of Scots pine trees (also at 0.5 m spacing) was placed around the edge of the trial to minimise edge effects.\n\nWeeding, to cut back brambles and bracken surrounding the trees, was performed annually in the summer.\n\nThe trial consists of six randomised blocks each containing one individual per family.\n\nThe data were collected as part of the PROTREE project (funded jointly by a grant from BBSRC, Defra, ESRC, the Forestry Commission, NERC and the Scottish Government, under the Tree Health and Plant Biosecurity Initiative) and Annika Perry's PhD studentship which was funded by NERC Centre for Ecology & Hydrology and Forest Research.\n","locations":["POLYGON((-4.888 54.863, -4.888 54.865, -4.886 54.865, -4.886 54.863, -4.888 54.863))"],"metadataDate":"2026-06-27T19:50:06.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-03-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/99e028cc-4c3c-490b-bade-b9ef062a16e8","10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8","doi:10.5285/99e028cc-4c3c-490b-bade-b9ef062a16e8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data collected from a progeny-provenance trial to examine Dothistroma needle blight (DNB) infection in native Scottish populations of Scots pine.\n\nData include multiple infection assessments and height measurements and a single chlorophyll fluorescence measurement,…","state":"published","title":"Susceptibility of native Scots pine (Pinus sylvestris) to Dothistroma septosporum following natural inoculation at Torrs Warren, Galloway 2013-2015","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Universidad de Extremadura"],"authorFamilyName":["Guillen","Gómez Polo","Baeza","Ontalba"],"authorFullName":["Guillen, J.","Gómez Polo, F.M.","Baeza, A.","Ontalba, M.A."],"authorGivenName":["J.","F.M.","A.","M.A."],"authorOrcid":["https://orcid.org/0000-0003-4351-9286","https://orcid.org/0000-0002-4927-194X","https://orcid.org/0000-0002-2648-2867","https://orcid.org/0000-0002-9677-4777"],"authorRor":["https://ror.org/0174shg90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise  of radionuclide and stable element concentrations in vegetal and animal food and feedstuffs, and their corresponding transfer coefficients and concentration ratios determined in Mediterranean ecosystems in Spain.  The considered foodstuff groups are: cereals, grapevine (including wine), olive tree (including olive oil), lamb, beef, pork, and dairy products from sheep, goat and cow.\n\nThe data include: elemental and radioactive concentration in soil, plants, food and feedstuffs; dry to fresh ratios for foodstuffs; animal feeding diet; estimation of overall elemental and radioactive diet concentration; transfer coefficients for vegetal foodstuffs (relating dry matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in soil); and concentration ratios for animal foodstuffs (relating fresh matter elemental and radionuclide concentration in foodstuff to the dry matter concentration in feedstuff).\n\nRadionuclide concentrations presented include Ra-226, Cs-137, Ra-228 and K-40. Elemental concentrations presented include Cs, Sr, K, Na, Ca, Mg, P, Pb, U and Th. ","documentType":"GEMINI_DOCUMENT","familyName":["Guillen","Gómez Polo","Baeza","Ontalba"],"fullName":["Guillen, J.","Gómez Polo, F.M.","Baeza, A.","Ontalba, M.A."],"givenName":["J.","F.M.","A.","M.A.","Javier"],"identifier":"48d5395e-e9fb-45ed-b69f-1ea0d2d36be6","incomingCitationCount":0,"keyword":["Radioecology","caesium","strontium","calcium","potassium","sodium","radionuclide","phosphorus","lead","magnesium","uranium","thorium","animal foodstuff"],"keywordsOther":["caesium","strontium","calcium","potassium","sodium","radionuclide","phosphorus","lead","magnesium","uranium","thorium","animal foodstuff"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Radionuclide concentrations presented include Ra-226, Cs-137, Ra-228 and K-40. These concentrations were determined by gamma spectrometry. Elemental concentrations presented include Cs, Sr, K, Na, Ca, Mg, P, Pb, U and Th. These concentrations were determined by ICP-MS. For further information about material and methods see supporting information.","locations":["POLYGON((-9.438 35.834, -9.438 43.881, 3.57 43.881, 3.57 35.834, -9.438 35.834))"],"metadataDate":"2026-06-29T17:24:07.000Z","orcid":["https://orcid.org/0000-0003-4351-9286","https://orcid.org/0000-0002-4927-194X","https://orcid.org/0000-0002-2648-2867","https://orcid.org/0000-0002-9677-4777"],"organisation":["Universidad de Extremadura","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6","10.5285/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6","doi:10.5285/48d5395e-e9fb-45ed-b69f-1ea0d2d36be6"],"resourceType":"Dataset","ror":["https://ror.org/0174shg90","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise  of radionuclide and stable element concentrations in vegetal and animal food and feedstuffs, and their corresponding transfer coefficients and concentration ratios determined in Mediterranean ecosystems in Spain.  The considered foodstuff groups are:…","state":"published","title":"Transfer parameters for radionuclides and radiologically significant stable elements to foodstuffs in Spain","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated"],"authorFamilyName":["Berenguer","Rossi","Seixas","Barlow"],"authorFullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"authorGivenName":["E.","L. C.","M.M.M.","J."],"authorOrcid":["https://orcid.org/0000-0001-8157-8792"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from October 2014 until May 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. ","documentType":"GEMINI_DOCUMENT","familyName":["Berenguer","Rossi","Seixas","Barlow"],"fullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","L. C.","M.M.M.","J."],"identifier":"def51d3d-d653-40ca-8231-a238b0c66975","incomingCitationCount":0,"keyword":["Brazilian Amazon","ECOFOR","HMTF","Environmental risk","Land use","Forest fire","Fine root production","fire","forest ecology","root"],"keywordsOther":["Forest fire","Fine root production","fire","forest ecology","root"],"keywordsPlace":["Brazilian Amazon"],"keywordsProject":["ECOFOR","HMTF"],"keywordsTheme":["Environmental risk","Land use"],"licence":"Open government licence","lineage":"We assessed roots production in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.  \n\nIn each plot we installed four in-growth soil cores (12 cm Diameter x 40 cm deep) using a plastic mesh (mesh size = 1.5cm). Each in-growth core was placed 50m apart. Cores were set 30cm deep into the soil, with 10cm aboveground. Before each sampling, both the soil temperature were measured inside and outside the in-growth core. In the field, each soil core was placed on a plastic sheet and broken in smaller parts until was homogenically spread. For the first measurement, called root stock, roots were collected in 24 intervals of five minutes each (three minutes break between intervals). The soil was homogenized before every new interval. After the sampling, the soil was placed back in the hole with the in-growth core inside. The sampled roots were taken to the laboratory and washed in a plastic sieve (2 mm mesh size), oven-dried at 60oC for 72 h and weighed. The second measure is taken 3 months after the first one, which gives us the first stock of fine root production. We collect the soil in the same hole and use the same method to collect the roots, but with 12 intervals of five minutes each (three minutes break between intervals). The laboratory procedure was the same. After three months, we take another measure in the same hole, using the same method as the second measure. After one year, the soil core is taken around 30 cm next to the first one, as the soil becomes physically disturbed and compact, which influences root production. For this new in-growth core, we start the sampling again with 24 intervals.","locations":["POLYGON((-55 -3.5, -55 -2.5700000000000003, -54.5 -2.5700000000000003, -54.5 -3.5, -55 -3.5))"],"metadataDate":"2026-06-27T13:44:50.000Z","orcid":["https://orcid.org/0000-0001-8157-8792"],"organisation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-01-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/def51d3d-d653-40ca-8231-a238b0c66975","10.5285/def51d3d-d653-40ca-8231-a238b0c66975","doi:10.5285/def51d3d-d653-40ca-8231-a238b0c66975"],"resourceType":"Dataset","ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of soil respiration in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary…","state":"published","title":"Fine root production in human-modified forests of Eastern Amazonia  ","topic":["0/Environmental risk/","0/Land use/"],"version":0.0,"view":["public","phtr"]},{"authorAffiliation":["University of Oxford","Brunel University of London","Lancaster University"],"authorFamilyName":["Yang","Ng","Thompson","Tsui","Zhang","Nair","Qiu","Ingram","Zurek","Gupta","Hasnain","Surridge"],"authorFullName":["Yang, A.","Ng, K.S.","Thompson, I.","Tsui, T.T.","Zhang, W.","Nair, P.","Qiu, S.","Ingram, J.","Zurek, M.","Gupta, B.","Hasnain, S.","Surridge, B."],"authorGivenName":["A.","K.S.","I.","T.T-H.","W.","P.","S.","J.","M.","B."],"authorOrcid":["https://orcid.org/0000-0001-5974-247X"],"authorRor":["https://ror.org/052gg0110","https://ror.org/00dn4t376","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Yang","Ng","Thompson","Tsui","Zhang","Nair","Qiu","Ingram","Zurek","Gupta","Hasnain","Surridge"],"fullName":["Yang, A.","Ng, K.S.","Thompson, I.","Tsui, T.T.","Zhang, W.","Nair, P.","Qiu, S.","Ingram, J.","Zurek, M.","Gupta, B.","Hasnain, S.","Surridge, B."],"funder":["Natural Environment Research Council"],"givenName":["A.","K.S.","I.","T.T-H.","W.","P.","S.","J.","M.","B."],"grant":["NE/W004976/1"],"identifier":"df329c40-cd4d-48d9-90d7-968f69df2279","incomingCitationCount":0,"keyword":["Environmental risk","Environmental survey","Material Flow Analysis","organic waste","nutrient"],"keywordsOther":["Material Flow Analysis","organic waste","nutrient"],"keywordsTheme":["Environmental risk","Environmental survey"],"licence":"Open government licence","lineage":"The dataset was generated through material flow analysis (MFA), which was based on the Environment Agency’s waste flow dataset for the year of 2019.","locations":["POLYGON((-1.593 52.349, -1.593 52.975, -0.637 52.975, -0.637 52.349, -1.593 52.349))"],"metadataDate":"2026-06-29T18:14:42.000Z","orcid":["https://orcid.org/0000-0001-5974-247X"],"organisation":["University of Oxford","Brunel University of London","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/df329c40-cd4d-48d9-90d7-968f69df2279","10.5285/df329c40-cd4d-48d9-90d7-968f69df2279","doi:10.5285/df329c40-cd4d-48d9-90d7-968f69df2279"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/00dn4t376","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019.","state":"published","title":"Annual flow data of municipal organic waste and nutrients, Leicestershire, UK, 2019","topic":["0/Environmental risk/","0/Environmental survey/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"authorFullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"authorGivenName":["E.","J.","G.","P."],"authorOrcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset also includes the estimated 9 x FSA stored volume time-series, estimated using a depth-stored volume lookup table for each FSA, produced from a digital elevation model of each feature and a depth-area-volume toolset. The annual barometric pressure time-series used to correct water level is also provided.\n\nThis dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. This work was supported by the SPITFIRE NERC DTP (NE/L002531/1) and the SCENARIO NERC DTP (NE/L002566/1).","documentType":"GEMINI_DOCUMENT","familyName":["Trill","Robotham","Old","Rameshwaran","Bishop"],"fullName":["Trill, E.","Robotham, J.","Old, G.","Rameshwaran, P.","Bishop, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","J.","G.","P."],"grant":["NE/L002531/1","NE/L002566/1"],"identifier":"cf70f798-442a-4775-963c-b6600023830f","incomingCitationCount":0,"keyword":["Oxfordshire","Cotswolds","Thames Basin","Hydrology","Environmental risk","natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsOther":["natural flood management (NFM)","flood storage area (FSA)","bund","hydrology","flood","flood risk management"],"keywordsPlace":["Oxfordshire","Cotswolds","Thames Basin"],"keywordsTheme":["Hydrology","Environmental risk"],"licence":"Open government licence","lineage":"Data were generated using pressure sensors supplied with a factory calibration. A barometric correction was applied to sensor pressure time-series. Barometric corrected pressure data were then calibrated to stage using a linear regression developed between these data and observed stage board readings. After this correction data were quality controlled to flag any spurious readings, which were removed and interpolated if appropriate. Flood Storage Area (FSA) volume for each feature was estimated using a Digital Elevation Model (DEM) produced with LiDAR data. If LiDAR data were not available, as-built manual survey data were interpolated using the Natural Neighbour method. The DEMs were imported into ArcGIS to create a raster and apply a depth-area-volume toolset for each FSA. The continuous corrected water level time-series in each FSA was then used to produce a time-series of stored volume for each FSA, by matching the water level time-series to the depth-stored volume lookup table produced from ArcGIS.","locations":["POLYGON((-1.6 51.85, -1.6 51.88, -1.66 51.88, -1.66 51.85, -1.6 51.85))"],"metadataDate":"2026-06-29T18:02:32.000Z","orcid":["https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0002-1223-8345","https://orcid.org/0000-0002-4713-1070","https://orcid.org/0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf70f798-442a-4775-963c-b6600023830f","10.5285/cf70f798-442a-4775-963c-b6600023830f","doi:10.5285/cf70f798-442a-4775-963c-b6600023830f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-resolution (5-minute) raw, atmospheric corrected and mean sea level adjusted water level data for 9 flood storage areas (FSAs) in the Littlestock Brook catchment (a tributary of the River Evenlode, Thames Basin) from 2018 to 2022. The dataset…","state":"published","title":"High-resolution time-series of flood storage area water levels and estimated stored volumes in the Littlestock Brook, Thames Basin, England, 2018-2022","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"authorFullName":["Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R."],"authorGivenName":["Michael","Luke","Rosie","Hannah","Richard"],"authorOrcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0001-9842-7798","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial concentration (CFU/ml). Data were sampled over defined periods using culture-based approaches.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","Fellows","White","Quilliam"],"fullName":["Michael Ormsby","Ormsby, M.","Woodford, L.","Fellows, R.","White, H.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["Michael","Luke","Rosie","Hannah","Richard"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"abbc69c2-b799-4892-a339-fb1ffa4ea2f0","incomingCitationCount":0,"keyword":["Environmental risk","Water quality","Plastisphere","Biofilm","Wastewater","E. coli O157","AMR"],"keywordsOther":["Plastisphere","Biofilm","Wastewater","E. coli O157","AMR"],"keywordsTheme":["Environmental risk","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence,  and survival of a clinically relevant strain of E. coli. Bacteria were cultured on materials (Banana Leaf and HDPE) and analysed for persistence over time. Materials (Banana Leaf and HDPE) were prepared and inoculated under controlled laboratory conditions. E. coli strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days).  The experiments utilised standard laboratory equipment such as 96-well plates and incubators. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.\n","metadataDate":"2026-06-29T16:25:00.000Z","orcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0001-9842-7798","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0","doi:10.5285/abbc69c2-b799-4892-a339-fb1ffa4ea2f0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the rate of colonisation of E. coli O157 on plastic and banana leaf, under simulated environmental conditions. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), and bacterial…","state":"published","title":"Colonisation rates of E. coli on plastic and banana leaf under simulated environmental conditions","topic":["0/Environmental risk/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorGivenName":["L.","J.","K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals.","documentType":"GEMINI_DOCUMENT","familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"funder":["Natural Environment Research Council"],"givenName":["L.","J.","K.N."],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsOther":["flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.","locations":["POLYGON((101.831 8.186, 101.831 23.554, 110.752 23.554, 110.752 8.186, 101.831 8.186))"],"metadataDate":"2026-06-29T18:12:21.000Z","orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)","Fathom","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60","doi:10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000…","state":"published","supplementalName":["Sampson et al ","Neal et al ","Hawker et al "],"title":"Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS)","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University"],"authorFamilyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"authorFullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"authorGivenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"authorOrcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","https://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0001-5370-4894"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. \n\nThe yield loss calculations were done as part of the NERC funded SUNRISE project and National Capability Project NC-Air quality impacts on food security, ecosystems and health.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"fullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"funder":["Natural Environment Research Council"],"givenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"grant":["NE/R000131/1"],"identifier":"2a932995-f040-4724-ad21-3e92ae8a2540","incomingCitationCount":1,"keyword":["SUNRISE","Agriculture","Environmental risk","Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsOther":["Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsProject":["SUNRISE"],"keywordsTheme":["Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"A 1 degree by 1 degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1 degree by 1 degree grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss.\n\nEach grid cell was classed as either irrigated (greater than 75 percent irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climatic zone. For each hemisphere/climatic zone combination, a 90-day growing period was set, based on the main growing season per year for each crop.\n\nThe EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre‐West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate-specific growing period for the cell, and an average value calculated for the period 2010-2012.\n\nYield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First, a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period.\n\nThe equation used to calculate percentage yield loss was as follows:\n     percentage Yield Loss = (POD3IAM – 0.1) * 0.64                                                                         \nwhere 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM.\n\nFor maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. \n\nPercentage yield loss values were added to the 1 degree by 1 degree grid and saved as GIS shapefiles, one per crop for ingestion into the EIDC.\n\nAn evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T16:02:36.000Z","orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","https://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0001-5370-4894"],"organisation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS)","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a932995-f040-4724-ad21-3e92ae8a2540","10.5285/2a932995-f040-4724-ad21-3e92ae8a2540","doi:10.5285/2a932995-f040-4724-ad21-3e92ae8a2540"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"shortenedDescription":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are…","state":"published","supplementalDescription":["Mills, G., Sharps, K., Simpson, D., Pleijel, H., Broberg, M., Uddling, J., … Van Dingenen, R. (2018). Ozone pollution will compromise efforts to increase global wheat production. Global Change Biology, 24(8), 3560–3574.\n\n","Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., & Wind, P. (2012). The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12(16), 7825–7865. "],"supplementalName":["Report","SUNRISE website","EMEP website"],"title":"Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2","topic":["0/Agriculture/","0/Environmental risk/"],"version":2.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Jarvis","Risser","Pywell","Redhead"],"authorFullName":["Jarvis, S.","Risser, H.","Pywell, R.","Redhead, J."],"authorGivenName":["Susan","Hannah","Richard","John"],"authorOrcid":["https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-2233-3848"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This product consists of maps of predicted annual application rates (kg/km2/yr) of three different inorganic chemical fertilisers - nitrogen (N), phosphorus (P) and potassium (K) - in England across a seven-year period (2015-2021). Annual estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution with a separate map provided for each fertiliser. This product builds on the previous CEH Land Cover plus: Fertilisers 2010-2015 (England) product, providing maps for more recent years and increasing the temporal resolution to provide a map per year instead of an average across years.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Risser","Pywell","Redhead"],"fullName":["Susan Jarvis","Jarvis, S.","Risser, H.","Pywell, R.","Redhead, J."],"funder":["Natural Environment Research Council"],"givenName":["Susan","Hannah","Richard","John"],"grant":["NE/W005050/1"],"identifier":"0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa","incomingCitationCount":0,"keyword":["Agriculture","Modelling","Environmental risk","chemical fertiliser","interpolation","mapping","agrochemical"],"keywordsOther":["chemical fertiliser","interpolation","mapping","agrochemical"],"keywordsTheme":["Agriculture","Modelling","Environmental risk"],"licence":"Non-Open government licence","lineage":"Fertiliser applications to a range of arable and grassland crops were modelled as a function of crop type, soil type and climate. Data on fertiliser applications were derived from the Defra British Survey of Fertiliser Practice (BSFP). To produce a map of applications across England, UKCEH Land Cover plus: Crops was used to identify which crops were grown where, and the modelled fertiliser applications to each crop in each 1km square were summed to create an estimate of total fertiliser application rates per 1km square (kg/km2/yr).","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T16:07:46.000Z","orcid":["https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-2233-3848"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa","10.5285/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa","doi:10.5285/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This product consists of maps of predicted annual application rates (kg/km2/yr) of three different inorganic chemical fertilisers - nitrogen (N), phosphorus (P) and potassium (K) - in England across a seven-year period (2015-2021). Annual estimates, along with their…","state":"published","title":"UKCEH Land Cover plus: Fertilisers 2015-2021 (England)","topic":["0/Agriculture/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Nord University","University of Cambridge","SMART Research Institute"],"authorFamilyName":["Eycott","Turner","Luke","Advento"],"authorFullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"authorGivenName":["A.E.","E.C.","S.H.","A.D."],"authorOrcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). Herbivory was measured 17 times in total (every 3-4 months) between April 2013 and August 2017. Eighteen plots were examined across three estates - plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 data only) were replanted in 2014. Plots were organised in triplets; in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: Reduced vegetation cover, normal vegetation management and enhanced vegetation cover. \n\nThe data contain damage estimated in three ways: by eye for the whole crown, by eye for the 17th frond, and by image processing for 20 leaflets of the 17th frond. ","documentType":"GEMINI_DOCUMENT","familyName":["Eycott","Turner","Luke","Advento"],"fullName":["Eycott, A.","Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"funder":["Natural Environment Research Council"],"givenName":["A.","A.E.","E.C.","S.H.","A.D."],"grant":[" NE/P00458X/1"],"identifier":"c2fbd22c-1ce9-4435-b4b0-e333addef346","incomingCitationCount":0,"keyword":["Indonesia","Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)","Environmental risk","oil palm"],"keywordsOther":["oil palm"],"keywordsPlace":["Indonesia"],"keywordsProject":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"At each recording session, three palms were selected at random from within experimental plots. Random palm selection was done using the rnd function in excel before visiting the field, as each palm in the experimental plots has a unique identifying tag. In the replanted stands where palms are not tagged, the randomisation was done by counting steps from the corner of the plot, again using the rnd function in excel.\n\nFirst the damage to the crown form herbivory was estimated visually from the ground. Then, counting from the youngest fully-opened frond, the 17th frond in the crown of the palm was cut and caught in a white cloth. Frond 17 represents a middle-aged frond (aged between 8.5 and 9 months) in mature palms and is commonly used by the oil palm industry as a standard to measure herbivory and herbivore load. The damage to the frond (in percent) was estimated visually. Then twenty paired leaflets, spaced evenly along the frond, were cut, placed flat on a white board and photographed (using a Nikon D90). Photography and visual damage estimates were always carried out by the same person, from the same angle (bottom left), to reduce sampling bias.\n\nPhotographs were pre-processed to remove noise and converted to binary images in Microsoft Paint. The total leaflet area was then measured in Fiji (https://fiji.sc/). A second image was prepared in Microsoft Paint, with all herbivory damage 'filled in', such that the leaflets appeared to be intact. Where leaflet tips were missing, a conservative estimate for the leaflet tip was drawn in, based on the length of neighbouring leaflets. This second image was measured in Fiji in the same way and the percent of the leaflet area consumed by herbivores was calculated. \n\nBasic data checks were carried out (checks for impossible values, such as an increase in leaf area after processing or extreme discrepancy between visual estimate and image processing values).","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"metadataDate":"2026-06-29T16:14:23.000Z","orcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"organisation":["Nord University","University of Cambridge","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-02-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2fbd22c-1ce9-4435-b4b0-e333addef346","10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346","doi:10.5285/c2fbd22c-1ce9-4435-b4b0-e333addef346"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise counts of damage to palm fronds in mature oil palm (2013-2015), and mature and replanted oil palm (2016-2017) plots as part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established…","state":"published","supplementalName":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme website"],"title":"Palm frond damage from herbivory in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Chornobyl center","Centre for Ecology & Hydrology"],"authorFamilyName":["Gaschak","Beresford","Barnett","Wells","Maksimenko","Chaplow"],"authorFullName":["Gaschak, S.P.","Beresford, N.A.","Barnett, C.L.","Wells, C.","Maksimenko, A.","Chaplow, J.S."],"authorGivenName":["S.P.","Nicholas A.","C.L.","C.","A.","J.S."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radionuclide concentrations in soils and a range of terrestrial vertebrate species (reptiles, small mammals and birds) sampled in the Chernobyl Exclusion Zone (CEZ) between 1999 and 2008. Reptiles were collected in 1999, 2000, 2001, 2003 and 2007, birds, bats, and small mammals were collected in 2004, 2005, 2007 and 2008. Dose rate data are provided for one study, both as ambient dose rate measurements and also as recorded by thermoluminescent dosimeters attached to small mammal species. The isotopes measured include: Americium-241, Caesium-134 and 137, Cobalt-60, Europium-154 and 155, Potassium-40, Plutonium-238, -239 and -240, Strontium-90. The data were used to assess the concentration of radioactive contamination in soil, consequent uptake of radionuclides by wildlife living in the CEZ and to test prediction of the ERICA Tool assessment model.\n\nThe data were used to assess the uptake of radionuclides by wildlife living in the CEZ and to derive transfer parameters, and also to test predictions of the assessment model the ‘ERICA Tool’.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Gaschak","Barnett","Wells","Maksimenko","Chaplow"],"fullName":["Beresford, N.A.","Gaschak, S.P.","Barnett, C.L.","Wells, C.","Maksimenko, A.","Chaplow, J.S."],"givenName":["Nicholas A.","S.P.","C.L.","C.","A.","J.S."],"identifier":"518f88df-bfe7-442e-97ad-922b5aef003a","incomingCitationCount":0,"keyword":["Ukraine","Chernobyl Exclusion Zone (CEZ)","Chornobyl","Environmental survey","Soil","Radioecology","Environmental risk","radioecology","Americium","Europium","Concentration ratio","Terrestrial biota","Transfer parameter","ERICA","TREE","COMET","radionuclide","potassium fertiliser","cobalt","strontium","caesium","plutonium"],"keywordsOther":["radioecology","Americium","Europium","Concentration ratio","Terrestrial biota","Transfer parameter","ERICA","TREE","COMET","radionuclide","potassium fertiliser","cobalt","strontium","caesium","plutonium"],"keywordsPlace":["Ukraine","Chernobyl Exclusion Zone (CEZ)","Chornobyl"],"keywordsTheme":["Environmental survey","Soil","Radioecology","Environmental risk"],"licence":"Open government licence","lineage":"Reptiles were trapped at two sites: 'Red Forest 1' and 'Red Forest2'. Red Forest 1 was approximately 2.6 km south west from the Chernobyl nuclear power plant; trapping occurred over a triangular area of circa 0.15 km2 . Red Forest 2 was approximately 2.7 km south west from the Chernobyl nuclear power plant; and trapping occurred over a square shaped area of circa 0.01 km2. Lacerta agilis were caught in Shermann traps; Natrix natrix were caught by hand. Soil samples (0–10 cm) were collected at  Red Forest 1 in June 2001 and at Red Forest 2 in May 2007. \n\nSmall mammals were trapped (and released in most cases) at three forest sites with differing soil radionuclide activity concentrations (Low, Medium and High) in the Chernobyl exclusion zone. At each site small mammal traps were located in a 100 m x 100 m study area. Soil samples (0-10 cm) were also sampled at these sites. Animals were fitted with thermoluminescent dosimeters.\n\nA range of passerine bird species were collected by mist nets during June 2005, euthanised and retained frozen.  Three species of bats were also collected from the sites during the period May and June 2008 using mist nets. After being euthanised the samples were stored frozen whilst awaiting analyses.","locations":["POLYGON((28.802 50.816, 28.802 51.499, 30.824 51.499, 30.824 50.816, 28.802 50.816))"],"metadataDate":"2026-06-29T18:05:06.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["UK Centre for Ecology & Hydrology","Chornobyl center","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-02-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/518f88df-bfe7-442e-97ad-922b5aef003a","10.5285/518f88df-bfe7-442e-97ad-922b5aef003a","doi:10.5285/518f88df-bfe7-442e-97ad-922b5aef003a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radionuclide concentrations in soils and a range of terrestrial vertebrate species (reptiles, small mammals and birds) sampled in the Chernobyl Exclusion Zone (CEZ) between 1999 and 2008. Reptiles were collected in 1999, 2000, 2001, 2003 and 2007, birds,…","state":"published","supplementalDescription":["Beresford, N. A., Gaschak, S., Maksimenko, A., & Wood, M. D. (2016). The transfer of 137 Cs, Pu isotopes and 90 Sr to bird, bat and ground-dwelling small mammal species within the Chernobyl exclusion zone. Journal of Environmental Radioactivity, 153, 231-236","Video Abstract for The transfer of 137Cs, Pu isotopes and 90Sr to bird, bat and ground dwelling small mammal species within the Chernobyl exclusion zone","Beresford, N. A., Gaschak, S., Barnett, C. L., Howard, B. J., Chizhevsky, I., Strømman, G., … Copplestone, D. (2008). Estimating the exposure of small mammals at three sites within the Chernobyl exclusion zone – a test application of the ERICA Tool. Journal of Environmental Radioactivity, 99(9), 1496–1502","Barnett, C. L., Gaschak, S., Beresford, N. A., Howard, B. J., & Maksimenko, A. (2009). Radionuclide activity concentrations in two species of reptiles from the Chernobyl exclusion zone. Radioprotection, 44(5), 537–542. "],"supplementalName":["COMET project website","TREE project website"],"title":"Radionuclide data for vertebrates in the Chernobyl Exclusion Zone","topic":["0/Environmental survey/","0/Soil/","0/Radioecology/","0/Environmental risk/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Manchester Metropolitan University "],"authorFamilyName":["Hill","Jenkinson","Dean","Redfern","Shaw"],"authorFullName":["Hill, M.","Jenkinson, L.A.","Dean, A.P.","Redfern, J.","Shaw, K.J."],"authorGivenName":["M.","L.A.","A.P.","J.","K.J."],"authorOrcid":["https://orcid.org/0000-0001-6893-5118","https://orcid.org/0000-0003-0958-683X","https://orcid.org/0000-0001-9241-4195"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","jpeg"],"description":"This dataset contains information about the development of a paper analytical device for the detection of the microcystin toxin. Water samples were collected weekly from Rostherne Mere and Tatton Park Lake, Cheshire between 20/07/2022 and 12/10/2022. Samples were analysed for the presence of microcystin-producing genes and released microcystin. A paper analytical device incorporating a protein phosphatase inhibition assay was also used to monitor microcystin levels. Preliminary user evaluation of the paper analytical devices and associated mobile photo applications is also provided. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011607/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Hill","Jenkinson","Dean","Redfern","Shaw"],"fullName":["Hill, M.","Jenkinson, L.A.","Dean, A.P.","Redfern, J.","Shaw, K.J.","Shaw, K."],"funder":["Natural Environment Research Council"],"givenName":["M.","L.A.","A.P.","J.","K.J.","Kirsty"],"grant":["NE/X011607/1"],"identifier":"5fe25b28-f10b-467b-8812-0b1ee6fd7491","incomingCitationCount":0,"keyword":["Cheshire Meres","Environmental risk","Water chemistry","Cyanobacteria","Algal blooms","Microfluidics","Public engagement","Lab on a chip"],"keywordsOther":["Water chemistry","Cyanobacteria","Algal blooms","Microfluidics","Public engagement","Lab on a chip"],"keywordsPlace":["Cheshire Meres"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Water samples were taken on a weekly basis from three sampling locations at each site. Samples were filtered through a 0.45 µm filter and DNA was extracted from the filter paper using a Qiagen PowerWater kit before being analysed using real-time PCR for detection of the mycE gene, alongside no template controls. Water samples were analysed using an ENZO Life Sciences Microcystins (Adda specific) ELISA kit, alongside microcystin reference standards and controls. \n\nFor the development of the paper analytical device, protein phosphatase 1a was produced using protein expression and confirmed using spectrophotometry. Efficiency was evaluated by comparison to commercially available products and comparing absorbance values for the conversion of pNPP. \n\nThe paper analytical device incorporating the protein phosphatase inhibition assay was then used to detect microcystin. Colourimetric change was recorded for samples and controls using Image J. Preliminary user evaluation of the paper analytical device was obtained using qualitative feedback.   \n\n","locations":["POLYGON((-2.403 53.307, -2.403 53.361, -2.35 53.361, -2.35 53.307, -2.403 53.307))"],"metadataDate":"2026-06-29T17:07:10.000Z","orcid":["https://orcid.org/0000-0001-6893-5118","https://orcid.org/0000-0003-0958-683X","https://orcid.org/0000-0001-9241-4195"],"organisation":["Manchester Metropolitan University ","NERC EDS Environmental Information Data Centre","Manchester Metropolitan University"],"publicationDate":"2024-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5fe25b28-f10b-467b-8812-0b1ee6fd7491","10.5285/5fe25b28-f10b-467b-8812-0b1ee6fd7491","doi:10.5285/5fe25b28-f10b-467b-8812-0b1ee6fd7491"],"resourceType":"Dataset","rightsHolder":["Manchester Metropolitan University"],"ror":["https://ror.org/04xw4m193","https://ror.org/02hstj355"],"shortenedDescription":"This dataset contains information about the development of a paper analytical device for the detection of the microcystin toxin. Water samples were collected weekly from Rostherne Mere and Tatton Park Lake, Cheshire between 20/07/2022 and 12/10/2022. Samples were analysed…","state":"published","title":"Quantitative and qualitative data relating to the inhibition of a phosphatase reaction by microcystin on a paper-based analytical device (PAD)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hewitt"],"authorFullName":["Hewitt, D."],"authorGivenName":["D."],"authorOrcid":["https://orcid.org/0000-0001-8297-0294"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). A strong interaction was found in root biomass and root nodule biomass in cut white clover plants in a high ozone background (45-67 parts per billion (ppb) treatment mean), suggesting ozone-impacts on root nodule biomass occur through limitation of carbon availability. The work was carried out as part of a NERC funded PhD.","documentType":"GEMINI_DOCUMENT","familyName":["Mills","Hewitt"],"fullName":["Mills, G.","Hewitt, D."],"givenName":["Gina","D."],"identifier":"10c6df00-c7ef-444b-951f-33a2c0072bec","incomingCitationCount":0,"keyword":["Abergwyngregyn","Environmental risk","Pollution","Trifolium repens","Jasmonic acid"],"keywordsOther":["Trifolium repens","Jasmonic acid"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"A short-term (four-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). Seedlings were propagated in early Spring 2014. After three weeks, to introduce a soil microbe, pots were inoculated with a soil slurry mixture. Pots were then divided between 3 treatments: uncut pots (controls), with a single cut to four centimetre (cm)m height immediately prior to ozone exposure and uncut, with a weekly application of Methyl-Jasmonate solution during the experiment. The seedlings were grown on for four weeks then exposed to random ozone profiles for four weeks. \nA representative quarter of each pot was selected and recordings of healthy, injured or senesced leaves made on in weeks 2, 3 and 4. The harvest of above and below-ground biomass was performed after four weeks on each pot. Shoot biomass, and root biomass from a representative quarter of the pot, were dried for a minimum of 48 hours at 60 degrees Celsius. Root nodule biomass was also excised from the root system, and was air dried, sized and weighed. Root biomass, nodule mass and nodule numbers per pot were calculated. Leaf area index (LAI) of undamaged leaves was determined from dried forage. Mean injury and senescence data across the recordings was determined for each pot, and was arcsine transformed prior to analysis. Injury and senescence data, and selected biomass data, were then analysed by analysis of variance (ANOVA), with ozone background and treatment applied as factors. \n\nPost-hoc Tukey's honest significant difference tests were used to determine the significance of factors where appropriate. Relationships between total root nodule biomass and biomass, and raw injury parameters for each treatment were also investigated via Pearson's correlation analysis. All analyses were conducted in R Software (version 3.1.2).  \n\nData was first recorded in the field in field notebooks, and was then transferred to electronic copies (MS Excel worksheets). Data was then exported as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-06-29T17:08:44.000Z","orcid":["https://orcid.org/0000-0001-8297-0294"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/10c6df00-c7ef-444b-951f-33a2c0072bec","10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec","doi:10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014…","state":"published","title":"Influence of Jasmonic acid on the response of pasture to ozone","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Ukrainian Institute of Agricultural Radiology (UIAR)","Centre for Ecology & Hydrology"],"authorFamilyName":["Kashparov","Levchuk","Zhurba","Protsak","Beresford","Chaplow"],"authorFullName":["Kashparov, V.","Levchuk, S.","Zhurba, M.","Protsak, V.","Beresford, N.A.","Chaplow, J.S."],"authorGivenName":["V.","S.","M.","N.A.","J.S."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear power plant (ChNPP) in 1987 following the Chernobyl nuclear accident on 26th April 1986.\nThe work was carried out by the Ukrainian Institute of Agricultural Radiology (UIAR), a division of National University of Life and Environmental Sciences of Ukraine. Funding for preparing this data set was provided by the TREE project (funded by NERC, the Environment Agency and Radioactive Waste Management Ltd under the RATE programme) and associated iCLEAR projects (funded by NERC).\n","documentType":"GEMINI_DOCUMENT","familyName":["Kashparov","Levchuk","Zhurba","Protsak","Beresford","Chaplow"],"fullName":["Kashparov, V.","Levchuk, S.","Zhurba, M.","Protsak, V.","Beresford, N.A.","Chaplow, J.S.","Chaplow, J."],"givenName":["V.","S.","M.","N.A.","J.S.","Jacky"],"identifier":"a408ac9d-763e-4f4c-ba72-73bc2d1f596d","incomingCitationCount":1,"keyword":["Chornobyl","Chernobyl","Ukraine","Radioecology","Soil"],"keywordsPlace":["Chornobyl","Chernobyl","Ukraine"],"keywordsTheme":["Radioecology","Soil"],"licence":"Open government licence","lineage":"A radial network of sample points every 10° (from 10° tо 360° clockwise) at distances of 5, 6, 7, 8.3, 10, 12, 14.7, 17, 20, 25, 30, 37.5, 45, 52.5 and 60 km from the Chernobyl nuclear power plant (resulting in 540 sample points) was established in April-May 1987. Geo-referencing of sampling points was performed using maps and topography. \nSamples were collected from all sampling points except those located in swamps, rivers and lakes; in total 489 of the 540 selected points were sampled.  Soils were sampled using a corer with a diameter of 14 cm and depth of 5 cm. Equivalent dose rate was measured at a height of 1 m above ground at each sampling point. At each sampling site, soil samples were collected from five points using an envelope sampling design (with approximately 5-10 m between sampling points). Each soil sample was retained intact within the corer during transportation to maintain sample integrity and prevent mixing.\nOne soil sample from each sampling site was analysed in a 1 litre Marinelli container by the UIAR laboratory using a high-purity germanium detector (GEM-30185, ORTEC, USA) and a multichannel analyser “ADCAM-300” (ORTEC, USA) to determine the concentrations of gamma-emitting radionuclides (95Zr+95Nd, 106Ru, 134,137Cs, 144Ce). A 100 g aliquot of soil was leached using 1M NH4Ac solution at pH 7 (solid: liquid ratio 1:5). The soil-extractant solution was shaken for 1 hour and then left for 1 day at room temperature. The solution was then filtered through medium ashless filter papers (3-5 µm) and put into a suitable container for analysis on a Ge-detector to determine the fraction of exchangeable 134,137Cs. \nRadionuclide activity concentrations in soils were used to calculate the density of soil contamination (1 Ci km-2= 37 kBq m-2) taking into account the area sampled (0.015 m2). Measured activity concentrations were reported at the 68% confidence level (i.e. one standard deviation). It has been estimated that when one discrete soil sample (area of sampling 0.015 m2) is used to estimate a value of average contamination density of the sampling site  (i.e. the area over which the five cores were collected) the uncertainty may be up to 50%.\n","locations":["POLYGON((30.16 51.27, 30.16 51.558, 29.681 51.558, 29.681 51.27, 30.16 51.27))"],"metadataDate":"2026-06-29T16:38:52.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-8058-8697"],"organisation":["Ukrainian Institute of Agricultural Radiology (UIAR)","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-09-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a408ac9d-763e-4f4c-ba72-73bc2d1f596d","10.5285/a408ac9d-763e-4f4c-ba72-73bc2d1f596d","doi:10.5285/a408ac9d-763e-4f4c-ba72-73bc2d1f596d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise sample site information, dose rate, radionuclide (zirconium-95, niobium-95, ruthenium-106, caesium-134, caesium-137 and cerium-144) deposition, and exchangeable caesium-134 and 137 in soils collected from within a 60 km radius of the Chernobyl nuclear…","state":"published","supplementalName":["iCLEAR website","TREE website"],"title":"Spatial radionuclide deposition data from the 60 km radial area around the Chernobyl nuclear power plant, 1987","topic":["0/Radioecology/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Southampton","Norwegian Institute for Nature Research","Forest Research"],"authorFamilyName":["Gresham","Grainger","Guy","Rattey","Bellamy","Spake"],"authorFullName":["Gresham, A.","Grainger, M.","Guy, M.","Rattey, A.","Bellamy, C.","Spake, R."],"authorGivenName":["A","M","C","R"],"authorOrcid":["https://orcid.org/0000-0001-7628-5426","https://orcid.org/0000-0001-8426-6495","https://orcid.org/0000-0003-0016-6572","https://orcid.org/0000-0002-3830-0995","https://orcid.org/0000-0003-4671-2225"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/04aha0598","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"These datasets each contain maps showing predicted risk of deer impact to woodlands across England and Wales. The \"small deer impact risk\" map shows impact risk from roe deer (Capreolus capreolus), Reeve's muntjac (Muntiacus reevesi) and Chinese water deer (Hydropotes inermis). The \"large deer impact risk\" map shows impact risk from red deer (Cervus elaphus), sika deer (Cervus nippon) and fallow deer (Dama dama). The values in the \"mean_risk\" column are impact risk scores predicted at 25-m pixel resolution, then averaged to woodland polygons. The pixel-level scores were calculated using Bayesian Belief Network (BBN) models, co-developed with scientists and deer managers using iterative expert elicitation. \n\nThis work was funded by the Natural Environment Research Council (Grant: NE/X003973/1).","documentType":"GEMINI_DOCUMENT","familyName":["Gresham","Grainger","Guy","Rattey","Bellamy","Spake"],"fullName":["Amy Gresham","Gresham, A.","Grainger, M.","Guy, M.","Rattey, A.","Bellamy, C.","Spake, R."],"funder":["Natural Environment Research Council"],"givenName":["A.","A","M","C","R"],"grant":["NE/X003973/1"],"identifier":"1c6f1763-68d7-481b-983b-a0d061a82163","incomingCitationCount":0,"keyword":["Animal behaviour","Environmental risk","Invasive species","Land cover","Land use","Mapping","Modelling","deer","grazing","herbivore","planting","risk analysis","temperate woodland","tree","woodland ecosystem"],"keywordsOther":["deer","grazing","herbivore","planting","risk analysis","temperate woodland","tree","woodland ecosystem"],"keywordsTheme":["Animal behaviour","Environmental risk","Invasive species","Land cover","Land use","Mapping","Modelling"],"licence":"Non-Open government licence","lineage":"The input data were derived from pre-existing spatial datasets from the UK Centre for Ecology & Hydrology and Forest Research. Landscape attributes were extracted from these datasets and analysed using a Bayesian Belief Network modelling framework. The spatial data provided represent the final outputted values of these models assigned to woodland polygons from the UKCEH Land Cover Map (2023).","locations":["POLYGON((-6.943 49.525, -6.943 56.047, 2.197 56.047, 2.197 49.525, -6.943 49.525))"],"metadataDate":"2026-06-29T16:26:52.000Z","orcid":["https://orcid.org/0000-0001-7628-5426","https://orcid.org/0000-0001-8426-6495","https://orcid.org/0000-0003-0016-6572","https://orcid.org/0000-0002-3830-0995","https://orcid.org/0000-0003-4671-2225"],"organisation":["University of Southampton","Norwegian Institute for Nature Research","Forest Research","University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c6f1763-68d7-481b-983b-a0d061a82163","10.5285/1c6f1763-68d7-481b-983b-a0d061a82163","doi:10.5285/1c6f1763-68d7-481b-983b-a0d061a82163"],"resourceType":"Dataset","rightsHolder":["University of Reading","University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04aha0598","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets each contain maps showing predicted risk of deer impact to woodlands across England and Wales. The \"small deer impact risk\" map shows impact risk from roe deer (Capreolus capreolus), Reeve's muntjac (Muntiacus reevesi) and Chinese water deer (Hydropotes…","state":"published","title":"Baseline deer impact risk maps for woodlands in England and Wales","topic":["0/Animal behaviour/","0/Environmental risk/","0/Invasive species/","0/Land cover/","0/Land use/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Exeter","AECOM"],"authorFamilyName":["Abancó","Jones"],"authorFullName":["Abancó, C.","Jones, J.N."],"authorGivenName":["C.","J.N."],"authorOrcid":["https://orcid.org/0000-0002-2169-5409","https://orcid.org/0000-0002-8992-1572"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/030p6ep86"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains the areas affected by landslides triggered by Typhoon Mangkhut in the area of Itogon (Benguet, Philippines) between the 13th and 15th of September 2018. The polygons were mapped using very high-resolution satellite imagery from before and after the typhoon. The pre-typhoon images were captured on 18/02/2018 and the post-typhoon images were captured on 02/03/2019 using the World-View 2 satellite. Google Earth imagery was also used as a supplementary source. The study area covers 570 km2.","documentType":"GEMINI_DOCUMENT","familyName":["Abancó","Jones"],"fullName":["Abancó, C.","Jones, J.N."],"givenName":["C.","J.N."],"identifier":"32765a61-8510-4dfc-b7c7-58bad12f8497","incomingCitationCount":0,"keyword":["Philippines","Itogon","Mapping","Environmental risk","debris flow","Typhoon Mangkhut","hazard","typhoon","landslide"],"keywordsOther":["Itogon","debris flow","Typhoon Mangkhut","hazard","typhoon","landslide"],"keywordsPlace":["Philippines","Itogon"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"The polygons of the landslides were mapped by a member of team. The technique to map them was visual observation of evidences of change before and after the typhoon, that would correspond to the appearance of a landslide. The inventory was checked by a different person afterwards.","locations":["POLYGON((120.566 16.328, 120.566 16.529, 120.798 16.529, 120.798 16.328, 120.566 16.328))"],"metadataDate":"2026-06-29T15:39:53.000Z","orcid":["https://orcid.org/0000-0002-2169-5409","https://orcid.org/0000-0002-8992-1572"],"organisation":["University of Exeter","AECOM","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/32765a61-8510-4dfc-b7c7-58bad12f8497","10.5285/32765a61-8510-4dfc-b7c7-58bad12f8497","doi:10.5285/32765a61-8510-4dfc-b7c7-58bad12f8497"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/030p6ep86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the areas affected by landslides triggered by Typhoon Mangkhut in the area of Itogon (Benguet, Philippines) between the 13th and 15th of September 2018. The polygons were mapped using very high-resolution satellite imagery from before and after…","state":"published","title":"Areas affected by landslides following Typhoon Mangkhut in Itogon, Philippines, September 2018","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Radboud University","University of Southampton"],"authorFamilyName":["Robroek","Shepherd","Steele","Dumont"],"authorFullName":["Robroek, B.J.M.","Shepherd, H.E.R.","Steele, M.N.","Dumont, M.G."],"authorGivenName":["B.J.M.","H.E.R.","M.N.","M.G."],"authorOrcid":["https://orcid.org/0000-0002-6714-0652","https://orcid.org/0000-0002-7077-3581","https://orcid.org/0000-0001-9949-225X","https://orcid.org/0000-0002-7347-8668"],"authorRor":["https://ror.org/016xsfp80","https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018.\n\nThe sample plots included areas with deep and shallow peat burn. The data includes geographical information (location, elevation and slope), soil temperature and soil chemical composition (carbon, nitrogen and 22 other elements).\n\nThe dataset is the result of research funded by a NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands).","documentType":"GEMINI_DOCUMENT","familyName":["Robroek","Shepherd","Steele","Dumont"],"fullName":["Robroek, B.","Robroek, B.J.M.","Shepherd, H.E.R.","Steele, M.N.","Dumont, M.G."],"funder":["Natural Environment Research Council"],"givenName":["Bjorn","B.J.M.","H.E.R.","M.N.","M.G."],"grant":["NE/S011943/1"],"identifier":"1fa8d605-b996-4687-ace2-1fa59cd5c6dd","incomingCitationCount":0,"keyword":["Environmental risk","Soil","Blanket bog","Moorland","Peatland","Wildfire","Soil biochemistry","Soil edaphics","bog","fire","soil","soil chemistry"],"keywordsOther":["Blanket bog","Moorland","Peatland","Wildfire","Soil biochemistry","Soil edaphics","bog","fire","soil","soil chemistry"],"keywordsTheme":["Environmental risk","Soil"],"licence":"Open government licence","lineage":"We established ten plots in October 2018 at the post-fire site. Each plot was 10 m x 10 m in size. We identified five of these plots as suffering a less severe (shallow) burn. The other 5 plots were in areas where a more severe (deep) burn was identified. In all plots the surface vegetation had been removed by the fire exposing the bare peat. We determined the geographical properties of each plot. This included their geographical location, elevation and slope. We also measured soil temperature at each location at multiple time points over the following 24-months.\n\nOn July 23rd 2019 we extracted small peat samples from the surface of each plot. Each sample was 5 cm x 5 cm in diameter and 2 cm in depth. The samples were homogenised and kept at c. 5 deg C until further analysis was completed to determine their chemical composition. In preparation for the chemical analysis of each sample we dried the peat at 70 deg C for 72 hours. This was then crushed forming a fine homogenous powder.\n\nTo determine the carbon and nitrogen content of each sample we extracted three sub-samples of the fine peat powder. Each sample was then combusted at 1800 deg C and the percentage of carbon and nitrogen released was quantified. This was performed using a Vario Micro Cube (Elementar). For each plot, the content of each sub-sample was compared to ensure that the observed values were consistent, and the samples were homogenous. An average of the three sub-samples was then taken to provide one value per plot.\n\nTo determine the composition of other elements within the samples, we extracted two sub-samples from each plot sample and performed Inductively Coupled Plasma-Mass-Spectrometry (ICP-MS) analysis on each of the sub-samples. This was used to determine the relative composition of 22 elements. For each plot, an average of the two sub-samples was taken.","locations":["POLYGON((-1.966 53.543, -1.966 53.546, -1.942 53.546, -1.942 53.543, -1.966 53.543))"],"metadataDate":"2026-06-29T17:13:43.000Z","orcid":["https://orcid.org/0000-0002-6714-0652","https://orcid.org/0000-0002-7077-3581","https://orcid.org/0000-0001-9949-225X","https://orcid.org/0000-0002-7347-8668"],"organisation":["Radboud University","University of Southampton","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1fa8d605-b996-4687-ace2-1fa59cd5c6dd","10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd","doi:10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd"],"resourceType":"Dataset","rightsHolder":["Radboud University"],"ror":["https://ror.org/016xsfp80","https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018.\n\nThe…","state":"published","title":"Biogeochemical and edaphic data from burned peat soil on the Stalybridge estate (UK), October 2018","topic":["0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=2&facet=topic%7C(0/Environmental%20risk/%20OR%200/Radioecology/)"}