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based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","familyName":["Carnell","Tomlinson","Reis"],"fullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["E.","S.J.","S."],"identifier":"7beefde9-c520-4ddf-897a-0167e8918595","incomingCitationCount":2,"keyword":["UK","Mapping","Environmental risk","population","land cover","Gridded"],"keywordsOther":["population","UK","land cover","Gridded"],"keywordsPlace":["UK"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files.\nLand Cover Map 2021 raster data has been obtained from UKCEH.\nOutput Area (/Data Zone) geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\nThe processing steps are detailed in the Supporting Documentation.\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:26:39.000Z","orcid":["https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-2428-8320"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7beefde9-c520-4ddf-897a-0167e8918595","10.5285/7beefde9-c520-4ddf-897a-0167e8918595","doi:10.5285/7beefde9-c520-4ddf-897a-0167e8918595"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical…","state":"published","supplementalDescription":["Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency"],"supplementalName":["Land Cover Map 2021 (25m rasterised land parcels, GB)  ","Land Cover Map 2021 (25m rasterised land parcels, NI)  ","England and Wales Output Areas","Scotland Output Areas","Northern Ireland Data Zones"],"title":"UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Russian Institute of Radiology and Radioecology","National Institute of Radiological Sciences"],"authorFamilyName":["Barnett","Wells","Fesenko","Tagami","Beresford"],"authorFullName":["Barnett, C.L.","Wells, C.","Fesenko, S.","Tagami, K.","Beresford, N.A."],"authorGivenName":["C.L.","C.","S.","K.","N.A."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise a compilation of quality-controlled biological half-life values (and associated information) from a literature review for animals (mainly farm livestock) which contribute to the human food chain. The dataset contains almost 650 entries for 12 animal types (cattle, sheep, goats, deer, geese, hens, horses, pigs, rabbits, camels, ducks and red grouse) of importance to the human food chain for 32 elements relevant to radiological protection. Entries include values for milk, muscle (meat), eggs, whole body, carcass and various tissues (e.g. liver and kidney); the number of entries available for each element/food-chain product combination is highly variable. The dataset also contains values for other sample types (e.g. urine, faeces etc.) that are not associated with the human food but are presented as the data appeared in the same source reference as those values for human food chain products and they may be useful for modelling purposes. All the source references consulted during the review are provided. The study was conducted as part of the CONFIDENCE project which is part of the CONCERT EJP, which receives funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 662287.","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Wells","Fesenko","Tagami","Beresford"],"fullName":["Barnett, C.L.","Wells, C.","Fesenko, S.","Tagami, K.","Beresford, N.A."],"funder":["European Union"],"givenName":["C.L.","C.","S.","K.","N.A."],"grant":["662287"],"identifier":"d26ea56a-a692-427c-8f5a-a9bb6eb7da6b","incomingCitationCount":1,"keyword":["Radioecology","Biological","Element","Review","tissue","radionuclide","milk","meat","food chain","foodstuff","farm animal","half-life"],"keywordsOther":["Biological","Element","Review","tissue","radionuclide","milk","meat","food chain","foodstuff","farm animal","half-life"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Prior to beginning the review, a recording sheet (in Microsoft Excel), was designed to allow easy collation of the half-life values (and associated information) into the final dataset. Each source reference was consulted and the data quality-controlled prior to inclusion into the dataset; subsequently the majority of the entries have been validated by somebody other than the person making the initial entry.\nCare should be taken when summarising the biological half-life values presented here. This is because source references often report differing numbers of components of loss (e.g. for Cs in milk between one and five loss components are reported by different authors) which means it is not possible to derive means and associated probability distribution functions for a given component (i.e. a degree of interpretation will be required when trying to derive ‘best estimate’ values).","metadataDate":"2026-06-29T18:21:01.000Z","orcid":["https://orcid.org/0000-0002-8722-0238"],"organisation":["Centre for Ecology & Hydrology","Russian Institute of Radiology and Radioecology","National Institute of Radiological Sciences","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d26ea56a-a692-427c-8f5a-a9bb6eb7da6b","10.5285/d26ea56a-a692-427c-8f5a-a9bb6eb7da6b","doi:10.5285/d26ea56a-a692-427c-8f5a-a9bb6eb7da6b"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise a compilation of quality-controlled biological half-life values (and associated information) from a literature review for animals (mainly farm livestock) which contribute to the human food chain. The dataset contains almost 650 entries for 12 animal types…","state":"published","title":"Radionuclide biological half-lives for farm animals","topic":["0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Nottingham","British Geological Survey"],"authorFamilyName":["Izquierdo","Young","Bailey","Crout","Chenery","Shaw"],"authorFullName":["Izquierdo, M.","Young, S.","Bailey, E.","Crout, N.","Chenery, S.","Shaw, G."],"authorGivenName":["Maria","Scott","E.","Neil","S.","George"],"authorOrcid":["https://orcid.org/0000-0002-2283-7202","https://orcid.org/0000-0002-3371-7185","https://orcid.org/0000-0002-5266-3792","https://orcid.org/0000-0001-7394-5070","https://orcid.org/0000-0002-4096-0183"],"authorRor":["https://ror.org/01ee9ar58","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for ca. 1.7 years.\n\nThe long term behaviour of U in aerobic soils was studied by conducting a laboratory-based experiment in which a set of twenty topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with a solution containing UO22+ in soluble form and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 619 days. The transformations of U in each soil microcosm were periodically monitored by means of soil extractions conducted on subsamples of incubated soils.\n\nThe resulting dataset enabled quantification of the kinetics of UO22+ transformations in aerobic soils and the relationships with soil properties and land uses (arable, grassland and moorland/woodland). The dataset will be useful in developing models of long-term U bioavailability in aerobic soils under temperate conditions. ","documentType":"GEMINI_DOCUMENT","familyName":["Izquierdo","Young","Bailey","Crout","Chenery","Shaw"],"fullName":["Izquierdo, M.","Young, S.","Bailey, E.","Crout, N.","Chenery, S.","Shaw, G."],"givenName":["Maria","Scott","E.","Neil","S.","George"],"identifier":"0d8b2aea-574c-4cff-a8bd-17115a0b90fc","incomingCitationCount":0,"keyword":["Chernobyl","Chornobyl","Soil","Radioecology","Incubation","Aerobic soils","uranium","aerobic process","soil"],"keywordsOther":["Incubation","Aerobic soils","uranium","aerobic process","soil"],"keywordsPlace":["Chernobyl","Chornobyl"],"keywordsTheme":["Soil","Radioecology"],"licence":"Open government licence","lineage":"At each sampling time, a portion of ca. 4g soil from each microcosm was equilibrated with 0.01 M KNO3 to quantify the soluble U. The chemically exchangeable and isotopically exchangeable fractions of U were determined by equilibrating another portion of ca. 2g soil with 1 M Mg(NO3)2 containing a known amount of the isotopic tracers 233UO22+ and 236UO22+. Soil extracts were analysed using a Thermo Fisher Scientific iCAP-Q ICP-MS. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:07:04.000Z","orcid":["https://orcid.org/0000-0002-2283-7202","https://orcid.org/0000-0002-3371-7185","https://orcid.org/0000-0002-5266-3792","https://orcid.org/0000-0001-7394-5070","https://orcid.org/0000-0002-4096-0183"],"organisation":["University of Nottingham","British Geological Survey","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d8b2aea-574c-4cff-a8bd-17115a0b90fc","10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc","doi:10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc"],"resourceType":"Dataset","ror":["https://ror.org/01ee9ar58","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for…","state":"published","title":"Time series of uranium transformations in aerobic soils following experimental addition of uranyl ion","topic":["0/Soil/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. \n\n[1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902\n[2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"identifier":"dfd59438-2170-4472-b810-bab33a83d09f","incomingCitationCount":0,"keyword":["Environmental risk","Hydrology","SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsOther":["SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsTheme":["Environmental risk","Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) groups(Kral et al. [7]). \n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267\n[3] Tanguy et al. (2015), in preparation.\n[4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[6] Keller, V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ https://doi.org/10.5194/essdd-8-83-2015.\n[7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2026-06-27T19:01:34.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1432105852978","CEH:EIDC::1432105852978","https://catalogue.ceh.ac.uk/id/dfd59438-2170-4472-b810-bab33a83d09f","10.5285/dfd59438-2170-4472-b810-bab33a83d09f","doi:10.5285/dfd59438-2170-4472-b810-bab33a83d09f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different…","state":"published","supplementalName":["CEH droughts portal"],"title":"Standardised Precipitation Index time series for Integrated Hydrological Units Groups (1961-2012)","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute"],"authorFamilyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"authorFullName":["Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"authorGivenName":["L. J.","K.","G.","F.","D. E. L.","R.","B. V."],"authorOrcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","GeoPackage"],"description":"This dataset maps the risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. Fragment risk scores integrate climate suitability and proximity to other fragments/infected sites, recent planting of these hosts (forestry grant schemes), inspected premises and water courses. Infections of P. pluvialis have been reported on Douglas fir and Western hemlock in Cornwall, Devon, Cumbria, Wales and Scotland since the outbreak was first detected in 2021. Outside of the UK, pine species (Pinus radiata, P. strobus, P. patula) are also susceptible to the pathogen. The scored fragment data were intersected with the boundaries of conservancies, local authorities and active P. pluvialis demarcated areas to summarise the distribution of risks across regions in Scotland.  ","documentType":"GEMINI_DOCUMENT","familyName":["Barwell","Turvey","Amankwaa","Asaaga","Cooke","Mitchell","Purse"],"fullName":["Louise Barwell","Barwell, L.J.","Turvey, K.","Amankwaa, G.","Asaaga, F.","Cooke, D.E.L.","Mitchell, R.","Purse, B.V."],"funder":["Natural Environment Research Council","Scotland's Plant Health Centre","Department for Environment Food and Rural Affairs"],"givenName":["L. J.","K.","G.","F.","D. E. L.","R.","B. V."],"grant":["NE/V019813/1","PHC2023/02","TH12224FR10"],"identifier":"921fcc2e-7491-4058-a21b-3d1de0be1507","incomingCitationCount":0,"keyword":["Scotland","Environmental risk","exotic species","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","western hemlock","Phytophthora pluvialis","Pseudotsuga menziesii","Tsuga heterophylla","Douglas fir"],"keywordsOther":["exotic species","forestry","habitat","pathogenic organism","pest","phytopathology","risk assessment","western hemlock","Phytophthora pluvialis","Pseudotsuga menziesii","Tsuga heterophylla","Douglas fir"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"We employed an iterative and collaborative co-production process that brought together stakeholders with diverse expertise from across Scotland’s plant health sector including forestry, conservation, horticulture, and government agencies. The distributions of Douglas fir and western hemlock fragments in Scotland were mapped using the National Forest Estate Subcompartments 2019 and the Native Woodland Survey of Scotland. This was supplemented with Scottish Forestry Phytophthora surveillance data and Statutory Plant Health Notices (SPHNs) since 2013 and detections on Douglas fir or western hemlock in a global Phytophthora database. Felled areas since 2013 were removed using the National Forest Inventory. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through a self-completion survey and two workshops. The consensus among workshop participants was for climate suitability to be the primary risk factor. The final report was peer reviewed by the Plant Health Centre. In addition, a knowledge integration and validation workshop (November 13, 2024) examined the adequacy of the outputs for horizon scanning and decision-making across sectors. Validation of the climate suitability models for other Phytophthora species has been attempted using independent UK and European detections.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:05:21.000Z","orcid":["https://orcid.org/0000-0002-1643-1046","https://orcid.org/0009-0001-2611-3391","https://orcid.org/0000-0003-0334-5867","https://orcid.org/0000-0003-2675-9464","https://orcid.org/0000-0002-9154-7954","https://orcid.org/0000-0001-8151-2769","https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/921fcc2e-7491-4058-a21b-3d1de0be1507","10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507","doi:10.5285/921fcc2e-7491-4058-a21b-3d1de0be1507"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset maps the risks of Phytophthora pluvialis infection for 11098 forest fragments in Scotland identified as containing the known hosts Douglas fir or western hemlock. Key risk factors and their scoring were agreed with 15 cross-sectoral stakeholders through…","state":"published","title":"Spatial risk analysis for Phytophthora pluvialis infection of Douglas fir and western hemlock in Scotland","topic":["0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Hannaford","Barker","Svensson","Kral","Fry"],"authorFullName":["Tanguy, M.","Hannaford, J.","Barker, L.","Svensson, C.","Kral, F.","Fry, M."],"authorGivenName":["M.","J.","L.","C.","F."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0003-1142-4039"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"1km and 5km gridded Standardised Precipitation-Evapotranspiration Index (SPEI) data for Great Britain, which is a drought index based on the probability of Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente Serrano et al. (2010). SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the generalised logistic distribution is 1961-2010. The dataset covers the period from 1961 to 2012. ","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Hannaford","Barker","Svensson","Kral","Fry"],"fullName":["Tanguy, M.","Hannaford, J.","Barker, L.","Svensson, C.","Kral, F.","Fry, M."],"givenName":["Maliko","M.","J.","L.","C.","F."],"identifier":"d201a2af-568e-4195-bf02-961fb6954c72","incomingCitationCount":2,"keyword":["Environmental risk","Modelling","SPEI","indicator","gridded data","rainfall extremes","climatic water balance","drought","rain","evapotranspiration","atmospheric precipitation"],"keywordsOther":["SPEI","indicator","gridded data","rainfall extremes","climatic water balance","drought","rain","evapotranspiration","atmospheric precipitation"],"keywordsTheme":["Environmental risk","Modelling"],"licence":"Non-Open government licence","lineage":"SPEI is calculated as originally defined in [1]. SPEI is based on the cumulative probability of a given Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - occurring at a location. The historic CWB data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the generalised logistic distribution, which is recommended by [1]. The Maximum Likelihood method was used to estimate the generalised logistic distribution parameters. To calculate SPEI, the R package SCI was used [4]. The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] ([4], [5]), and CHESS PET data ([6],[7]).\n\n[1] Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718.\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267\n[3] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[4] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[5] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112 https://doi.org/10.5194/essdd-8-83-2015.\n[6] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (in preparation), Trends in evaporative demand in Great Britain using high-resolution meteorological data\n[7] Robinson, E.L.; Blyth, E.; Clark, D.B.; Finch, J.; Rudd, A.C. (2015). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]. NERC Environmental Information Data Centre. https://doi.org/10.5285/d329f4d6-95ba-4134-b77a-a377e0755653","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2026-06-27T19:20:40.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0003-1142-4039"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d201a2af-568e-4195-bf02-961fb6954c72","10.5285/d201a2af-568e-4195-bf02-961fb6954c72","doi:10.5285/d201a2af-568e-4195-bf02-961fb6954c72"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"1km and 5km gridded Standardised Precipitation-Evapotranspiration Index (SPEI) data for Great Britain, which is a drought index based on the probability of Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration…","state":"published","title":"Gridded Standardized Precipitation-Evapotranspiration Index (SPEI) using generalised logistic distribution with standard period 1961-2010 for Great Britain [SPEIgenlog61-10]","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorFamilyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"authorFullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M."],"authorGivenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M."],"authorOrcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering the different agrochemicals used and their differing forms of environmental impact. We provide four mapped products: IYR for Nitrogen fertilisers, IYR for Phosphorus fertilisers, IYR for pesticide risk to earthworms, and IYR for pesticide risk to honeybees. The IYR is calculated using scaled rather than absolute values, with the maximum value in each yield and inputs dataset set as 1, so that all inputs and rewards are expressed proportionally to each other.\n\nThe research was funded under research programme NE/N018125/1 ASSIST and NE/W005050/1 AgZero+.","documentType":"GEMINI_DOCUMENT","familyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"fullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M.","Risser, H."],"funder":["Natural Environment Research Council"],"givenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M.","Hannah"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Mapping","Land use","Modelling","ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsOther":["ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Land use","Modelling"],"licence":"Open government licence","lineage":"We mapped estimated pesticide and fertiliser applications to 1km grid squares in England using data from the Fera Pesticide Utilisation Survey and the British Survey of Fertiliser Practice, respectively. Estimated pesticide applications were converted to risk values to honeybees and earthworms using information on toxicity from the Pesticide Property Database. Areas with winter wheat crop were identified from the UKCEH Land Cover® plus: Crops map. Data from the June Survey of Agricultural and Horticultural activity were used to create an average wheat yield map for England.\n\nWe then compared the fertiliser and pesticide application datasets separately to estimated yields of wheat in order to derive the Input to Yield Ratio (IYR) for four separate agrochemical inputs: Nitrogen fertilisers, Phosphorus fertilisers, pesticide exposure for earthworms, and pesticide exposure for honeybees.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-27T19:24:48.000Z","orcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","doi:10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering…","state":"published","title":"Input to Yield Ratio (IYR) maps for wheat farming in England, 2010-2017","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Land use/","0/Modelling/"],"version":1.0,"view":["public","eidc-staff"]},{"authorAffiliation":["Swansea University","US Forest Service"],"authorFamilyName":["Cabo","Laino","Doerr","Parsons","Hudak","Santin"],"authorFullName":["Cabo, C.","Laino, D.","Doerr, S.H.","Parsons, R.A.","Hudak, A.T.","Santin, C."],"authorGivenName":["C.","D.","S.H.","R.A.","A.T."],"authorOrcid":["https://orcid.org/0000-0002-0387-9052","https://orcid.org/0000-0002-7106-0559","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-5091-8993","https://orcid.org/0000-0001-7480-1458","https://orcid.org/0000-0001-9901-2658"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/03zmjc935"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. The primary data resource is a structured inventory of forest vegetation, where each entry represents an individual tree. Key variables include precise spatial coordinates (X, Y, Z), Diameter at Breast Height (DBH), and Total Height (TH). These parameters serve as the foundational inputs required to synthesize complex 3D fuel beds within the FastFuels modeling environment that can be later be used as inputs for wildfire simulation softwares FIRETEC and QUIC-Fire.\n\nThe data was extracted from terrestrial 3D LiDAR point clouds of a Pinus ponderosa plot scanned with a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon, USA during the summer of 2019. This resource was developed to provide \"ground truth\" fuel data for the validation and calibration of next-generation wildfire models, enabling researchers to simulate fire behaviour-such as crown fire initiation and heat flux-with higher physical fidelity.","documentType":"GEMINI_DOCUMENT","familyName":["Cabo","Laino","Doerr","Parsons","Hudak","Santin"],"fullName":["Diego Laino","Cabo, C.","Laino, D.","Doerr, S.H.","Parsons, R.A.","Hudak, A.T.","Santin, C."],"funder":["Natural Environment Research Council","Agencia Estatal de Investigacion","Department of Defense Strategic Environmental Research and Development Program"],"givenName":["C.","D.","S.H.","R.A.","A.T."],"grant":["NE/T001194/1","PID2021-126790NB-I00","RC20-1025","RC23-7626"],"identifier":"bc67144d-91c4-446d-8691-248a793bf4f4","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","Environmental risk","forest fire","remote sensing","forestry","computation fluid dynamics models","LiDAR","fuel"],"keywordsOther":["forest fire","remote sensing","forestry","computation fluid dynamics models","LiDAR","fuel"],"keywordsTheme":["Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"Point cloud acquisition was done between 8th and 12th July 2019 in a 200x200 m2 study plot of a ponderosa pine woodland in Sycan Marsh preserve, Oregon, USA. \nTLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. The point clouds have been acquired with a RIEGL-VZ400i TLS system with a laser sampling rate 750 kHz and a vertical sampling density of 0.21 degrees, mounted on a tripod at a minimum height of 1.5 m. Point cloud was georeferenced using the integrated L1 GPS receiver, compass and inclination sensors of the TLS system and ground control points whose coordinates were recorded were recorded using an RTK/Differential GPS receiver/base combination.\n\nThe raw scans were pre-processed using Riegl's proprietary software RiSCAN PRO to assign metadata (scanner position, scan ID, date/time), align all scans into a common coordinate system and divide the total study area in 40 x 40 m2 plots (n = 25 plots). These resulting plots were finally stored into LAZ files.\n\nLAZ files were processed using 3DFin software (https://github.com/3DFin/3DFin) to compute forest inventory metrics. Then, a random sample of 150 trees across the plot were extracted. Real-world coordinates (X, Y), Diameter at Breast Height (DBH) and tree Total Height (TH) are provided for each tree.","locations":["POLYGON((-121.169 42.84, -121.169 42.857, -121.151 42.857, -121.151 42.84, -121.169 42.84))"],"metadataDate":"2026-06-29T16:12:44.000Z","orcid":["https://orcid.org/0000-0002-0387-9052","https://orcid.org/0000-0002-7106-0559","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-5091-8993","https://orcid.org/0000-0001-7480-1458","https://orcid.org/0000-0001-9901-2658"],"organisation":["Swansea University","US Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bc67144d-91c4-446d-8691-248a793bf4f4","10.5285/bc67144d-91c4-446d-8691-248a793bf4f4","doi:10.5285/bc67144d-91c4-446d-8691-248a793bf4f4"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. The primary data resource is a structured inventory of forest vegetation, where each entry represents an individual tree.…","state":"published","title":"Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019","topic":["0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["https://orcid.org/0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises observations from treatments comparing conventional (LDPE) and biodegradable (PLA/PBAT) plastic mulch films in both new and field-weathered conditions. 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The dataset captures responses across different plastic types, degradation states, and concentrations, providing a structured comparison of their effects under controlled conditions.\nFurther methodological details and experimental procedures are provided in the lineage field and the supporting documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["M.","Martine","David R","Davey L"],"grant":["NE/V005871/1"],"identifier":"c2d4f068-e6bb-4613-8c43-e96b0aae25e8","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Soil","agricultural pollution","crop production","mulch","plastic","pollution","soil"],"keywordsOther":["agricultural pollution","crop production","mulch","plastic","pollution","soil"],"keywordsTheme":["Agriculture","Environmental risk","Soil"],"licence":"Open government licence","lineage":"Plant:\n-\tBiomass (root, bulb, shoot): Dry biomass weighed on 2-decimal scale. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tHeight: Measured using measuring tape. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tLeaf chlorophyll content: Recorded using a SPAD meter. Data recorded in paper notebook, transferred to Excel, exported as csv.\n-\tC, N, P, K, S concentration: Measured using CN analyser and TXRF spectroscopy. Data exported as Excel file, exported as csv.\n-\t15N retention: Measured using CN analyser. Data exported as Excel file, exported as csv.\nSoil:\n-\tpH and electrical conductivity: Measured using standard electrodes in a 1:2.5 soil:distilled water solution. Data recorded in paper notebook, transferred to Excel file, exported as csv.\n-\tNutrients (ammonium, nitrate, phosphate, DOC): Measured using colorimetric methods on a 1:5 soil: 0.5 M K2SO4 (NH4, NO3) or 0.5M acetic acid (PO4) extracts. DOC determined using TOC analyser on a 1:5 0.5M K2SO4 extract. Data exported as Excel files, exported as csv.\n-\tCumulative N2O emissions: Data analysed using gas chromatography, exported as Excel file, exported as csv.\n-\tCumulative 14CO2 respiration: Analysed using scintillation counter, data exported as Excel file, exported as csv.\n-\tC, N, P, K, S concentration: Measured using CN analyser and TXRF spectroscopy. Data exported as Excel file, exported as csv.\n-\t15N retention: Measured using CN analyser. Data exported as Excel file, exported as csv.\nPlastic:\n-\tFTIR spectra: Measured using ATR-FTIR spectroscopy. Data exported as csv.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-06-29T16:36:29.000Z","orcid":["https://orcid.org/0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c2d4f068-e6bb-4613-8c43-e96b0aae25e8","10.5285/c2d4f068-e6bb-4613-8c43-e96b0aae25e8","doi:10.5285/c2d4f068-e6bb-4613-8c43-e96b0aae25e8"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises observations from treatments comparing conventional (LDPE) and biodegradable (PLA/PBAT) plastic mulch films in both new and field-weathered conditions. The dataset was generated from a controlled mesocosm experiment designed by researchers to…","state":"published","title":"Soil and plant properties in a mesocosm experiment exposed to both new and aged plastic mulch film","topic":["0/Agriculture/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey","Aarhus University"],"authorFamilyName":["Ebuele","Tandy","Brentegani","Lebron","Tye","Keith","Hermansen","Wollesen de Jonge","Zaresourmanabad","Robinson"],"authorFullName":["Ebuele, V.O.","Tandy, S.","Brentegani, M.","Lebron, I.","Tye, A.","Keith, A.","Hermansen, C.","Wollesen de Jonge, L.","Zaresourmanabad, M.","Robinson, D.A."],"authorGivenName":["Victor O.","Susan","Michele","Inma","Andrew","Aidan","Cecile","Lis","Marzieh","David A."],"authorOrcid":["https://orcid.org/0000-0001-9410-1109","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0002-1925-3732","https://orcid.org/0000-0003-2874-0644","https://orcid.org/0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01aj84f44"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results","documentType":"GEMINI_DOCUMENT","familyName":["Ebuele","Tandy","Brentegani","Lebron","Tye","Keith","Hermansen","Wollesen de Jonge","Zaresourmanabad","Robinson"],"fullName":["Victor Oghogho Ebuele","Ebuele, V.O.","Tandy, S.","Brentegani, M.","Lebron, I.","Tye, A.","Keith, A.","Hermansen, C.","Wollesen de Jonge, L.","Zaresourmanabad, M.","Robinson, D.A."],"funder":["Natural Environment Research Council"],"givenName":["Victor O.","Susan","Michele","Inma","Andrew","Aidan","Cecile","Lis","Marzieh","David A."],"grant":["NE/Y006208/1","10053484","NE/R016429/1"],"identifier":"ea727f8d-6441-4d88-8ed7-1760bda0c3c3","incomingCitationCount":0,"keyword":["Environmental survey","Environmental risk","Soil","Vis-NIR","spectroscopy"],"keywordsOther":["Vis-NIR","spectroscopy"],"keywordsTheme":["Environmental survey","Environmental risk","Soil"],"licence":"Open government licence","lineage":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T11:55:35.000Z","orcid":["https://orcid.org/0000-0001-9410-1109","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0002-1925-3732","https://orcid.org/0000-0003-2874-0644","https://orcid.org/0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","Aarhus University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea727f8d-6441-4d88-8ed7-1760bda0c3c3","10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3","doi:10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01aj84f44","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey,…","state":"published","title":"Topsoil visible and near-infrared (Vis-NIR) spectral data from the UKCEH Countryside Survey, Great Britain, 2018-2019","topic":["0/Environmental survey/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Hull","Newcastle University","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari"],"authorFamilyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"authorFullName":["Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"authorGivenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"authorOrcid":["https://orcid.org/0000-0003-3547-3791"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/01kj2bm70","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future coastal change scenarios (short-, medium-, and long-term), and is sortable based on the overall risk score for each climate scenario.","documentType":"GEMINI_DOCUMENT","familyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"fullName":["Adam Jarvis","Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"funder":["Natural Environment Research Council"],"givenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"grant":["NE/T003286/1","NE/T003022/1","NE/T002824/1","NE/T003200/1"],"identifier":"2501589d-1a13-4e6e-a25b-b74993c5b758","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","Environmental risk","coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsOther":["coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsTheme":["Climate and climate change","Environmental survey","Environmental risk"],"licence":"Non-Open government licence","lineage":"A combination of publicly available and proprietary shapefiles of waste deposits were analysed using GIS methods. Output data were then fed into a prioritisation method based on source-pathway-receptor models. A suite of spatial data has been integrated in order to score potential risks associated with waste type (Source), likelihood of pollutant release relating to current and future flood and erosion climate projections, alongside current management infrastructure (Pathway), and proximity to sensitive ecological features or proxies of human use in coastal areas (Receptors).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:16:28.000Z","orcid":["https://orcid.org/0000-0003-3547-3791"],"organisation":["Newcastle University","University of Hull","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2501589d-1a13-4e6e-a25b-b74993c5b758","10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758","doi:10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future…","state":"published","supplementalDescription":["Riley AL, Amezaga J, Burke IT, Byrne P, Cooper N, Crane RA, Comber SDW, Gandy CJ, Hudson-Edwards KA, Jennings E, Lewis E, Lofts S, MacDonald JM, Malcolm H, Mayes WM, Onnis P, Olszewska J, Spears B and Jarvis AP (2022) Incorporating conceptual site models into national-scale environmental risk assessments for legacy waste in the coastal zone. Front. Environ. Sci. 10:1045482. doi: 10.3389/fenvs.2022.1045482"],"title":"List of legacy waste deposits (including historical landfill sites) across England and Wales, ranked by environmental risk to the coastal environment under future climate scenarios","topic":["0/Climate and climate change/","0/Environmental survey/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey","University of Salford","British Geological Society","School of Natural Sciences"],"authorFamilyName":["Beresford","Barnett","Jones","Wood","Appleton","Breward","Copplestone"],"authorFullName":["Beresford, N.A.","Barnett, C.L.","Jones, D.G.","Wood, M.D.","Appleton, J.D.","Breward, N.","Copplestone, D."],"authorGivenName":["Nicholas A.","C.L.","D.G.","M.D.","J.D.","N.","D."],"authorOrcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-4511-4445","https://orcid.org/0000-0002-1468-9545"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01tmqtf75"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise estimates of activity concentrations of naturally occurring radionuclides (40K, 238U and 232Th series radionuclides) in environmental media (soil and stream sediments and waters) and non-human biota (focusing on the ICRP Reference Animals and Plants). For soil, stream sediments and stream waters data were derived from total K, U and Th concentrations mainly from the ongoing geochemical survey of the United Kingdom (G-BASE), conducted by the British Geological Survey. The geochemical survey data are currently incomplete for England and Wales, but almost complete coverage was obtained for K in stream sediments by using the Wolfson Atlas data for southern England. For U and Th in sediments and K, U and Th in soils, more complete coverage was achieved by geological extrapolation (using relationships between soils/sediments and bedrock/superficial geology). For media and sediments, datasets are provided for both: (i) geometric mean concentrations from measured samples on a 5 x 5 km square basis where data are available; and (ii) extrapolated surfaces covering all of England and Wales. Data for non-human biota are from targeted sampling and analyses and data review.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Barnett","Jones","Wood","Appleton","Breward","Copplestone"],"fullName":["Beresford, N.A.","Barnett, C.L.","Jones, D.G.","Wood, M.D.","Appleton, J.D.","Breward, N.","Copplestone, D."],"givenName":["Nicholas A.","C.L.","D.G.","M.D.","J.D.","N.","D."],"identifier":"bb2d7874-7bf4-44de-aa43-348bd684a2fe","incomingCitationCount":0,"keyword":["England","Wales","Radioecology","Soil","Pollution","water","thorium","potassium-40","radioecology","soil","sediment","biota","uranium"],"keywordsOther":["water","thorium","potassium-40","radioecology","soil","sediment","biota","uranium"],"keywordsPlace":["England","Wales"],"keywordsTheme":["Radioecology","Soil","Pollution"],"licence":"Open government licence","lineage":"Please download supporting information for full materials and methods. Alternatively refer to the following journal papers: \nFor soil, water and sediment data: Background exposure rates of terrestrial wildlife in England and Wales N.A. Beresford, C.L. Barnett, D.G. Jones, M.D. Wood, J.D. Appleton, N. Breward, D. Copplestone. Journal of Environmental Radioactivity 99 (2008) 1430-1439. https://doi.org/10.1016/j.jenvrad.2008.03.003 \nFor biota data: Assessment of naturally occurring radionuclides around England and Wales: Application of the G-BASE dataset to estimate doses to non-human species Jones, D. G., Appleton, J. D., Breward, N., Mackenzie, A. C., Scheib, C., Beresford, N. A., … Copplestone, D. (2009). Assessment of naturally occurring radionuclides around England and Wales: Application of the G-BASE dataset to estimate doses to non-human species. Radioprotection, 44(5), 629–634. https://doi.org/10.1051/radiopro/20095116","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T18:10:28.000Z","orcid":["https://orcid.org/0000-0002-8722-0238","https://orcid.org/0000-0002-4511-4445","https://orcid.org/0000-0002-1468-9545"],"organisation":["Centre for Ecology & Hydrology","British Geological Survey","University of Salford","British Geological Society","School of Natural Sciences","Natural Environment Research Council","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1271758286281","CEH:EIDC::1271758286281","https://catalogue.ceh.ac.uk/id/bb2d7874-7bf4-44de-aa43-348bd684a2fe","10.5285/bb2d7874-7bf4-44de-aa43-348bd684a2fe","doi:10.5285/bb2d7874-7bf4-44de-aa43-348bd684a2fe"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01tmqtf75","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise estimates of activity concentrations of naturally occurring radionuclides (40K, 238U and 232Th series radionuclides) in environmental media (soil and stream sediments and waters) and non-human biota (focusing on the ICRP Reference Animals and Plants).…","state":"published","supplementalDescription":["Hosseini, A., Beresford, N. A., Brown, J. E., Jones, D. G., Phaneuf, M., Thørring, H., & Yankovich, T. (2010). Background dose-rates to reference animals and plants arising from exposure to naturally occurring radionuclides in aquatic environments. Journal of Radiological Protection, 30(2), 235-264","Beresford, N.A., Barnett, C.L., Jones, D.G., Wood, M.D., Appleton, J.D., Breward, N., Copplestone D. 2008. Background exposure rates of terrestrial wildlife in England and Wales. J. Environ. Radioact., 99, 1430-1439","Jones, D.G., Appleton, J.D., Breward, N., Mackenzie, A.C., Scheib, C., Beresford, N. A., Barnett, C.L., Wood, M.D., Copplestone D. Assessment of naturally occurring radionuclides around England and Wales: application of the G-BASE dataset to estimate doses to non-human species. Radioprotection (2009) 44, 629-634. ","Hosseini, A., Beresford, N.A., Brown, J.E., Jones, D.G., Phaneuf, M., Thørring, H., & Yankovich, T. (2010). Background dose-rates to reference animals and plants arising from exposure to naturally occurring radionuclides in aquatic environments. Journal of Radiological Protection, 30(2), 235-264","Beresford, N.A., Appleton, J D., Barnett, C.L., Bescoby, M.W., Breward, N., Jones, D.G., MacKenzie, A.C., Scheib, C.,Thørring, H., Wood, M.D. 2007. Assessment of naturally occurring radionuclides around England and Wales. Science Project SC030283. ISBN: 1844325679. Environment Agency, Bristol."],"supplementalName":["Further information about national initiatives on radiological environmental protection"],"title":"Natural radionuclide concentrations in soil, water, sediment and biota in England and Wales","topic":["0/Radioecology/","0/Soil/","0/Pollution/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","White","Fellows","Oliver","Quilliam"],"authorFullName":["Ormsby, M.","Woodford, L.","White, H.","Fellows, R.","Oliver, D.","Quilliam, R."],"authorGivenName":["Michael","Luke","Hannah","Rosie","David","Richard"],"authorOrcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions. The data encompass bacterial strain identity, material type, timepoints (days), bacterial concentration (CFU/ml) and survival percentages. Data were sampled over a 28-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model. The ability of isolates to persist on materials, dissociate from materials into water bodies, and recolonise materials was also determined.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","White","Fellows","Oliver","Quilliam"],"fullName":["Michael Ormsby","Ormsby, M.","Woodford, L.","White, H.","Fellows, R.","Oliver, D.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["Michael ","Michael","Luke","Hannah","Rosie","David","Richard"],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","incomingCitationCount":0,"keyword":["Environmental risk","Climate and climate change","Water quality","Biofilm","Human Pathogens","Plastic Pollution","Plastisphere","Public Health"],"keywordsOther":["Biofilm","Human Pathogens","Plastic Pollution","Plastisphere","Public Health"],"keywordsTheme":["Environmental risk","Climate and climate change","Water quality"],"licence":"Open government licence","lineage":"Data were generated through laboratory experiments investigating the persistence, virulence, and survival of clinically relevant strains of toxigenic Vibrio cholerae. Bacteria were cultured on materials (Polyethylene [PE], polypropylene [PP] and banana leaf [BL]) and analysed for persistence over time (up to 28 days) and virulence using Galleria mellonella larvae. Materials (PE, PP and BL) were prepared and inoculated under controlled laboratory conditions. V. cholerae strains were inoculated onto materials in nutrient-rich and surface water environments. Sampling was taken at defined time points (7, 14, 21, 28 days). G. mellonella larvae were used to evaluate virulence, and survival was assessed over 72 h. The experiments utilised standard laboratory equipment such as 96-well plates and incubators. G. mellonella larvae were sourced from a local supplier and used within one week of delivery. Instrumentation used for bacterial enumeration, including the plate reader, was calibrated according to standard laboratory protocols. The data underwent rigorous quality control through replication (biological triplicates), statistical analysis (ANOVA), and controlled experimental conditions (e.g., temperature and material consistency). Statistical methods including ANOVA and Tukey’s post-hoc tests were applied to assess treatment effects and survival outcomes.\n","metadataDate":"2026-06-29T16:46:44.000Z","orcid":["https://orcid.org/0000-0002-3991-2336","https://orcid.org/0000-0003-2530-2120","https://orcid.org/0009-0003-8928-2189","https://orcid.org/0000-0002-6200-562X","https://orcid.org/0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","10.5285/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b","doi:10.5285/b9bfdb6f-5e5e-496f-bf0c-bb9931f6046b"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions. The data encompass bacterial strain identity, material type,…","state":"published","title":"Survival and persistence of clinically relevant strains of toxigenic Vibrio cholerae on plastic and vegetation, under environmentally relevant conditions","topic":["0/Environmental risk/","0/Climate and climate change/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Richardson"],"authorFullName":["Richardson, J."],"authorGivenName":["J."],"authorOrcid":["https://orcid.org/0000-0001-7052-422X"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Erosion risk mapping showing river channel concentrations modelled using SCIMAP for the Yorkshire River Derwent, UK. Scenario mapping has been carried out and the dataset includes the following scenarios to assess variation in model output: 1) traditional land use map; 2) satellite derived land use maps; 3) long term rainfall averages; 4) integrating the artificial drainage network and 5) incorporating future climate change. ","documentType":"GEMINI_DOCUMENT","familyName":["Richardson"],"fullName":["Richardson, J."],"funder":["Natural Environment Research Council"],"givenName":["J.","Janet"],"grant":["NE/R013012/1"],"identifier":"331dd8ca-a4ff-40e6-b753-1b68468d8996","incomingCitationCount":0,"keyword":["Environmental risk","Erosion","Risk mapping","Yorkshire","River Derwent","Fine grained sediment"],"keywordsOther":["Erosion","Risk mapping","Yorkshire","River Derwent","Fine grained sediment"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"This data was produced using SCIMAP (http://www.scimap.org.uk/), which requires the following data input – elevation (digital elevation model); rainfall and land use. This data shows erosion risk concentrations within river channels of the River Derwent, Yorkshire, UK. Seasonal erosion risk was assessed for a year, looking at a range of scenarios 1) using traditional land use maps (e.g., CORINE / CEH land use maps); 2) using seasonal satellite derived land use which can show bare land; 3) long term rainfall averages; 4) integrating the artificial drainage network and 5) incorporating future climate change using UKCP09 data. \n\nFor further details please see the supporting documentation.","locations":["POLYGON((-1.425 53.727, -1.425 54.513, -0.215 54.513, -0.215 53.727, -1.425 53.727))"],"metadataDate":"2026-06-29T16:23:26.000Z","orcid":["https://orcid.org/0000-0001-7052-422X"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/331dd8ca-a4ff-40e6-b753-1b68468d8996","10.5285/331dd8ca-a4ff-40e6-b753-1b68468d8996","doi:10.5285/331dd8ca-a4ff-40e6-b753-1b68468d8996"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"Erosion risk mapping showing river channel concentrations modelled using SCIMAP for the Yorkshire River Derwent, UK. Scenario mapping has been carried out and the dataset includes the following scenarios to assess variation in model output: 1) traditional land use map;…","state":"published","title":"Fine-grained sediment diffuse pollution risk mapping scenarios for the Yorkshire Derwent catchment ","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds","APEM Limited"],"authorFamilyName":["Shannon","Stebbing","Quinn","Warren","Dunn"],"authorFullName":["Shannon, C.F.","Stebbing, P.D.","Quinn, C.H.","Warren, D.A.","Dunn, A.M."],"authorGivenName":["C.F.","P.D.","C.H.","D.A.","A.M."],"authorOrcid":["https://orcid.org/0000-0001-9718-2899","https://orcid.org/0000-0001-7189-4409","https://orcid.org/0000-0002-2085-0446","https://orcid.org/0000-0002-2073-7857","https://orcid.org/0000-0002-4855-1077"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and after e-Learning training. Students and professionals were given two separate surveys which were combined to create one dataset. The surveys were collected between September 2015 and July 2018.\n\nThe objective of the survey was to collect data on participants’ awareness, risk perceptions and self-reported behaviours on biosecurity for invasive species. The topics on both the before and after survey included age, role at institution, field of work/study, field activity environments, cleaning methods for equipment, outerwear/footwear and transport and awareness and perceptions of risk around invasive species and biosecurity campaigns. The data does not include the aggregated cleaning scores that were used for the analysis nor has it excluded any participants that were not used in the final data analysis. The dataset has been anonymised by removing names of respondents, email addresses, departments or organisations worked for or studied in, and text responses which could have made the participant identifiable.\n\nThe research was funded by NERC project no NE/N008391/1.","documentType":"GEMINI_DOCUMENT","familyName":["Shannon","Stebbing","Quinn","Warren","Dunn"],"fullName":["Shannon, C.","Shannon, C.F.","Stebbing, P.D.","Quinn, C.H.","Warren, D.A.","Dunn, A.M."],"funder":["Natural Environment Research Council"],"givenName":["Caitriona","C.F.","P.D.","C.H.","D.A.","A.M."],"grant":["NE/N008391/1"],"identifier":"ac271791-b722-489c-9b68-b37316ec826c","incomingCitationCount":0,"keyword":["Invasive species","Environmental risk","opinion survey"],"keywordsOther":["opinion survey"],"keywordsTheme":["Invasive species","Environmental risk"],"licence":"Open government licence","lineage":"All data was collected online using Online Surveys. Information of each survey is detailed in the supporting information. Both the before training and after training surveys took less than 10 minutes to complete. The number of the respondents in the before training survey was 804, and the number of respondents in the post training survey was 79. The spreadsheet has been converted to a CSV file. ","metadataDate":"2026-06-29T18:19:46.000Z","orcid":["https://orcid.org/0000-0001-9718-2899","https://orcid.org/0000-0001-7189-4409","https://orcid.org/0000-0002-2085-0446","https://orcid.org/0000-0002-2073-7857","https://orcid.org/0000-0002-4855-1077"],"organisation":["University of Leeds","APEM Limited","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac271791-b722-489c-9b68-b37316ec826c","10.5285/ac271791-b722-489c-9b68-b37316ec826c","doi:10.5285/ac271791-b722-489c-9b68-b37316ec826c"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This data contains the results of student and professional perceptions surveys conducted in the UK before and after e-Learning training, as part of a project to determine the effectiveness of e-Learning as a training tool. The dataset include two surveys; before and…","state":"published","title":"UK public perceptions around invasive species and biosecurity before and one year after undertaking e-Learning, 2015-2018","topic":["0/Invasive species/","0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Portsmouth"],"authorFamilyName":["Fuller","Smith","Ford"],"authorFullName":["Fuller, N.","Smith, J.T.","Ford, A.T."],"authorGivenName":["N.","J.T.","A.T."],"authorOrcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"authorRor":["https://ror.org/03ykbk197"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth (marine crustacean Echinogammarus marinus) or from the River Ems, Emsworth (freshwater crustacean, Gammarus pulex). Laboratory experiments were conducted periodically from summer 2015 to autumn 2016 at the University of Portsmouth. The data are of use in elucidating the mechanisms and effects of low-dose ionising radiation on an important group of model organisms in radioecology. \n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.T."],"funder":["Natural Environment Research Council"],"givenName":["N.","J.T.","A.T."],"grant":["NE/L000393/1"],"identifier":"b70afb8f-0a2b-40e6-aecc-ce484256bbfb","incomingCitationCount":0,"keyword":["TRansfer - Exposure – Effects (TREE)","COMET","Radioecology","crustacean","Echinogammarus marinus","Gammarus pulex","animal reproduction","beta radiation","phosphorus-32","DNA","biological development"],"keywordsOther":["Radioecology","crustacean","Echinogammarus marinus","Gammarus pulex","animal reproduction","beta radiation","phosphorus-32","DNA","biological development"],"keywordsProject":["TRansfer - Exposure – Effects (TREE)","COMET"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Sperm quality data was ascertained using a LIVE/DEAD sperm viability kit on sperm suspensions obtained by dissection. DNA damage data was obtained using a modified comet assay method. ","locations":["POLYGON((-1.226 50.746, -1.226 51, -0.784 51, -0.784 50.746, -1.226 50.746))"],"metadataDate":"2026-06-27T18:36:07.000Z","orcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"organisation":["University of Portsmouth","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b70afb8f-0a2b-40e6-aecc-ce484256bbfb","10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb","doi:10.5285/b70afb8f-0a2b-40e6-aecc-ce484256bbfb"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise results of laboratory experiments assessing the impacts of beta radiation (phosphorus-32) on reproduction, development and DNA damage in a marine and freshwater crustacean species. All crustacean samples were collected either from Lock Lake, Portsmouth…","state":"published","supplementalDescription":["This paper describes the software package that was used to calculate DNA damage in the associated dataset. "," This paper describes the methods used within this dataset to analyse embryo abnormalities within amphipods. "," Lacaze, E., Devaux, A., Mons, R., Bony, S., Garric, J., Geffard, A., & Geffard, O. (2011). DNA damage in caged Gammarus fossarum amphipods: A tool for freshwater genotoxicity assessment. Environmental Pollution, 159(6), 1682–1691. ","Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55-67. ","Fuller, N., Ford, A.T., Nagorskaya, L.L., Gudkov, D.I., & Smith, J.T. (2018). Reproduction in the freshwater crustacean Asellus aquaticus along a gradient of radionuclide contamination at Chernobyl. Science of The Total Environment, 628–629, 11-17."],"supplementalName":["Comet Assay Analysis","Embryo abnormality analysis","This paper documents the methods which were adapted to perform the comet assay on amphipod sperm","Report describing methods used within this dataset to analyse embryo abnormalities within amphipods"],"title":"Effects of low-dose ionising radiation on reproduction and DNA damage in marine and freshwater amphipod crustaceans","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Aberdeen"],"authorFamilyName":["Fitton"],"authorFullName":["Fitton, N."],"authorGivenName":["N."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on cropland availability in 2050. ","documentType":"GEMINI_DOCUMENT","familyName":["Fitton"],"fullName":["Fitton, N."],"funder":["Natural Environment Research Council"],"givenName":["Nuala","N."],"grant":["NE/M021327/1"],"identifier":"1011037f-4f41-41db-ac7a-0d8e9b8bc933","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","Environmental risk","Hydrology","water scarcity","drought","arable farming"],"keywordsOther":["water scarcity","drought","arable farming"],"keywordsTheme":["Agriculture","Climate and climate change","Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 to 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading). \n\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:04:29.000Z","orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-07-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1011037f-4f41-41db-ac7a-0d8e9b8bc933","10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933","doi:10.5285/1011037f-4f41-41db-ac7a-0d8e9b8bc933"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"Projections of global changes in water scarcity with the current extent of croplands were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability…","state":"published","title":"Projections of water scarcity in croplands, 2050","topic":["0/Agriculture/","0/Climate and climate change/","0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Birmingham","University of Exeter","University of Manchester","Swansea University","Forest Research","University of the Highlands and Islands"],"authorFamilyName":["Ivison","Belcher","Clay","Crawford","Doerr","Elliott","Graham","Lewis","Little","Morison","Nikonovas","Orpin","Stoll","Kettridge"],"authorFullName":["Ivison, K.","Belcher, C.M.","Clay, G.D.","Crawford, A.J.","Doerr, S.H.","Elliott, A.","Graham, L.J.","Lewis, C.","Little, K.","Morison, J.I.L.","Nikonovas, T.","Orpin, A.","Stoll, E.","Kettridge, N."],"authorGivenName":["Katy","Claire M.","Gareth D.","Alastair J.","Stefan H.","Andrew","Laura J.","Chloe","Kerryn","James I. L.","Tadas","Alice","Erin","Nicholas"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor grass and moss. Where relevant, the canopy/leaves and stem were sampled separately. The datasets also contain associated information about the sample site characteristics (land cover class, elevation, slope and aspect) and meteorological variables (temperature, relative humidity and wind speed at the time of sampling). There are three datasets included which represent three separate studies: (i) UK-wide dataset which contains samples from sites across the UK from 2021-2023; (ii) North Yorkshire Moors dataset which contains samples from the North Yorkshire Moors, where sites were chosen to represent a combination of landscape characteristics, from five days in 2021; (iii) West Midlands dataset which contains samples from multiple volunteers on one day only across two sites.","documentType":"GEMINI_DOCUMENT","familyName":["Ivison","Belcher","Clay","Crawford","Doerr","Elliott","Graham","Lewis","Little","Morison","Nikonovas","Orpin","Stoll","Kettridge"],"fullName":["Nick Kettridge","Ivison, K.","Belcher, C.M.","Clay, G.D.","Crawford, A.J.","Doerr, S.H.","Elliott, A.","Graham, L.J.","Lewis, C.","Little, K.","Morison, J.I.L.","Nikonovas, T.","Orpin, A.","Stoll, E.","Kettridge, N."],"funder":["Natural Environment Research Council"],"givenName":["Katy","Claire M.","Gareth D.","Alastair J.","Stefan H.","Andrew","Laura J.","Chloe","Kerryn","James I. L.","Tadas","Alice","Erin","Nicholas"],"grant":["NE/T003553/1"],"identifier":"9334118f-3389-4a13-89a1-d75ec6fcc43a","incomingCitationCount":0,"keyword":["North Yorkshire Moors","West Midlands","Environmental risk","wildfire","temperate","fuel moisture content"],"keywordsOther":["wildfire","temperate","fuel moisture content"],"keywordsPlace":["North Yorkshire Moors","West Midlands"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Data were collected by sampling vegetation. The sampler established 20 m transects at sample sites and collected samples between 11:00 and 17:00 local time. For heather, gorse and bracken, stems and either canopy (heather, gorse) or leaves (bracken) were sampled separately, and for all vegetation both live and dead samples were taken. Live moss samples were collected by pinching the top two cm of moss from the soil surface, and litter samples were collected by pinching the top two cm of dead leaf litter from soil surface, at ca. 10 points along the transect. These two fuel types were sampled separately, and if both occurred together the constituents were separated. For the organic layer, defined as the organic material beneath the surface litter and above the mineral soil, the top 5 cm of soil was sampled at four points along the transect. In forested sites, twigs (<5 mm diameter) were collected from fallen branches at ca. 10 points along the transect. Only those which were not in contact with the floor were collected. The same fuel constituents sampled along the transects were combined within aluminium screw-fit tins that were sealed with masking tape. Gravimetric fuel moisture content (FMC) was calculated by weighing the collected samples, drying them for 48 h at 80 °C and then reweighing the dried samples. The FMC is calculated as:\n(W - D)/(D - T) * 100\nwhere W = wet weight (g), D = dry weight (g) and T = the weight of the sample tin (g).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:28:58.000Z","organisation":["University of Birmingham","University of Exeter","University of Manchester","Swansea University","Forest Research","University of the Highlands and Islands","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9334118f-3389-4a13-89a1-d75ec6fcc43a","10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a","doi:10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor…","state":"published","title":"Fuel moisture content of vegetation in the UK, 2021-2023, measured as part of UK Fire Danger Rating System","topic":["0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University College London"],"authorFamilyName":["Laize","Thompson"],"authorFullName":["Laize, C.L.R.","Thompson, J.R."],"authorGivenName":["C.L.R.","J.R."],"authorOrcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8927-6462"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["R package"],"description":"This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems.\n\nAlthough the code was developed with a geographical focus on southeast Asia (example datasets are provided for the Mekong River Basin), it can be applied for any location where baseline and scenario monthly river flow time series are available.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.","documentType":"GEMINI_DOCUMENT","familyName":["Laize","Thompson"],"fullName":["Laize, C.","Laize, C.L.R.","Thompson, J.R."],"givenName":["Cedric","C.L.R.","J.R."],"identifier":"98ec8073-7ebd-44e5-aca4-ebcdefa9d044","incomingCitationCount":0,"keyword":["Environmental risk","Modelling","Flow alteration","River ecosystem","Ecological risk","Ecohydrology","Hydroecology"],"keywordsOther":["Flow alteration","River ecosystem","Ecological risk","Ecohydrology","Hydroecology"],"keywordsTheme":["Environmental risk","Modelling"],"licence":"Non-Open government licence","lineage":"This application comprises a series of R scripts and also uses the Shiny R package. It was developed using R version 3.4.2 and Shiny version 1.0.5 and has been tested up to R version 3.6.1 and Shiny version 1.3.2 on both the Windows and MacOS operating systems. At a minimum it requires the installation of R but it can also run under R Studio.","metadataDate":"2026-06-27T19:56:12.000Z","orcid":["https://orcid.org/0000-0002-7560-7769","https://orcid.org/0000-0002-8927-6462"],"organisation":["UK Centre for Ecology & Hydrology","University College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-12-17T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/98ec8073-7ebd-44e5-aca4-ebcdefa9d044","10.5285/98ec8073-7ebd-44e5-aca4-ebcdefa9d044","doi:10.5285/98ec8073-7ebd-44e5-aca4-ebcdefa9d044"],"resourceType":"Software","ror":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"shortenedDescription":"This application is an implementation of the Ecological Risk due to Flow Alteration (ERFA) method in R language. This method assesses the potential impact of flow change on river ecosystems.\n\nAlthough the code was developed with a geographical focus on southeast Asia…","state":"published","supplementalName":["TEFRIC Project web site"],"title":"R implementation of the Ecological Risk due to Flow Alteration (ERFA) method","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V. C."],"identifier":"7c3ad803-fbd4-45c3-826b-fa04c902ded8","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":" This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 37 farms including date, eartag numbers of animals in the immediate environment, sample type and descriptive location. 2. Records of microbiological analyses of the samples to identify those containing E. coli resistant to amoxicillin, cephalexin and/or tetracycline.  3. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-06-27T18:17:31.000Z","orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8","10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8","doi:10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin,…","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=topic%7C(0/Radioecology/%20OR%200/Environmental%20risk/)"}