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Leeds"],"authorFamilyName":["Mittal","Whitfield"],"authorFullName":["Mittal, N.","Whitfield, S."],"authorGivenName":["N. ","Stephen"],"authorOrcid":["0000-0002-3040-778X"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Word (docx)"],"description":"The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. \n\nThe data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi).","documentType":"GEMINI_DOCUMENT","familyName":["Mittal","Whitfield"],"fullName":["Mittal, N.","Whitfield, S."],"funder":["Natural Environment Research Council"],"givenName":["N. ","Stephen"],"grant":["NE/S005900/1"],"identifier":"199b0046-79a3-4e74-8152-17f10c376671","incomingCitationCount":0,"keyword":["Africa","Agriculture","Agro-climate indices","Maize","Farmers","Decision making","extreme weather","weather","ecosystem services","agriculture"],"keywordsOther":["Agro-climate indices","Maize","Farmers","Decision making","extreme weather","weather","ecosystem services","agriculture"],"keywordsPlace":["Africa"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Between April and May 2019 15 focus group discussions (FGDs) were conducted across five Extension Planning Areas (EPAs); 10 FGDs with farmers and 5 FGDs with Agricultural Extension Development Officers (AEDOs). The farmers involved in the FGD were selected by the AEDOs and included both male and female farmers (and amongst which one or more than one was the lead farmer i.e., farmer representative). In total, 70 female farmers and 48 male farmers, and 21 AEDOs participated in the FGDs. The age of male farmer and female farmer participants ranged from 28–58 to 20–54, respectively. As part of the FGDs these seasonal calendars were used to guide the discussion. \n\nThe FGDs were conducted in the local language Chichewa, facilitated by a local research assistant who audio recorded, translated and transcribed the discussions.\n","locations":["POLYGON((33.877 -15.512, 33.877 -13.726, 35.722 -13.726, 35.722 -15.512, 33.877 -15.512))"],"metadataDate":"2026-07-24T19:14:09.000Z","orcid":["0000-0002-3040-778X"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/199b0046-79a3-4e74-8152-17f10c376671","10.5285/199b0046-79a3-4e74-8152-17f10c376671","doi:10.5285/199b0046-79a3-4e74-8152-17f10c376671"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Seasonal agricultural calendars presenting activities per month for farmers in Malawi, April-May 2019","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 °C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline rainwater chemistry data across the LOCAR catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno","Bachiller Jareno"],"fullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N.","Bachiller Jareno, N."],"givenName":["D.","P.","R.","E.","I.","J.","C.I.","N.","Nuria "],"identifier":"274b541c-ee28-4041-8d3a-be5e970cd74e","incomingCitationCount":0,"keyword":["Water quality","The Lowland Catchment Research Programme","LOCAR","rainwater"],"keywordsOther":["The Lowland Catchment Research Programme","LOCAR","rainwater"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The rainwater collector was brought back to the lab by the Catchment Service Team in that catchment and used to fill a number of bottles supplied by Thames Water Laboratory. Samples for pH and alkalinity readings were poured into a glass bottle. Samples for Phosphorus soluble reactive were filtered. Unfiltered samples were used for the rest of the determinands. Samples were then sent to Thames Water for analysis. They used the Seal discrete analyser to determine values for Alkalinity pH 4.5, Ammonia, Chloride-ion, Nitrate, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. pH and Conductivity probes were used for those two determinands. A duplicate and a QC sample were sent each week to Thames Water to compare results obtained by the laboratories. The data were quality controlled by Thames Water. The data from the Frome Piddle catchment do not have a time associated with them. The time was not recorded when the rainwater collector was brought back from the field. In the dataset this is represented by the value 00:00. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. ","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-07-24T19:27:40.000Z","organisation":["Centre for Ecology & Hydrology","University of Birmingham","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426780628758","CEH:EIDC::1426780628758","https://catalogue.ceh.ac.uk/id/274b541c-ee28-4041-8d3a-be5e970cd74e","10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e","doi:10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity…","state":"published","temporalExtentText":"Data collected from 2004 to 2006","title":"Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rainwater (2004-2006) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","cit"]},{"authorAffiliation":["An Giang University"],"authorFamilyName":["Nguyen","Mai"],"authorFullName":["Nguyen, T.","Nguyen, L.","Mai, T."],"authorGivenName":["Tanh","Linh","Thang"],"authorOrcid":["0000-0002-0847-4185","0009-0001-1902-6679","0009-0008-1640-6407"],"authorRor":["https://ror.org/023pm6532"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","TIFF","Shapefile"],"description":"The pollinator abundance index is calculated for different bee species (apis andreniform, apis cerana, apis dorsata, apis mellifera) in multiple years (2010, 2012, 2020) in three provinces: Dong Thap, Ca Mau and Kien Giang for both wet (rain) and dry (sunny) seasons. For each of the three provinces, data to model maps are provided to show, Pollinator abundance index (PA) which uses floral resources, seasonal activity, and pollinator supply to estimate where pollinators are actively foraging; and Pollinator supply index (PS) which combines nesting suitability, accessible floral resources, and species abundance to estimate where pollinators originate. The dominant land use for each of the three study areas are provided.\n\nThe pollinator abundance index in the InVEST Pollinator abundance model is built from several specific ecological measurements that describe bee nesting and foraging behaviour across the landscape. This study examines bees in the Mekong Delta, with the aim of assessing the impact of beekeeping activities on regional habitats using the Pollinator Abundance Index from the InVEST module.","documentType":"GEMINI_DOCUMENT","familyName":["Nguyen","Mai"],"fullName":["Nguyen, T.","Nguyen, L.","Mai, T.","Tanh Nguyen"],"funder":["Natural Environment Research Council"],"givenName":["Tanh","Linh","Thang"],"grant":["NE/S008926/1"],"identifier":"91ba4d30-48ae-41db-8ab0-997a03f8378b","incomingCitationCount":0,"keyword":["Environmental survey","Pollinators","Biodiversity","Species data","Species distribution","Dong Thap","Kien Giang","Ca Mau","Mekong Delta","Vietnam","bee","pollinator abundance","InVEST model"],"keywordsOther":["Species data","Species distribution","Dong Thap","Kien Giang","Ca Mau","Mekong Delta","Vietnam","bee","pollinator abundance","InVEST model"],"keywordsTheme":["Environmental survey","Pollinators","Biodiversity"],"licence":"Open government licence","lineage":"Core Measurements integrated into the model:\n1. Nesting suitability (HN) \nHow suitable each land-cover type is for different nesting substrates (e.g., tree cavities).\nValues range from 0-1, indicating availability of nesting sites.\n2. Floral resources (RA, FR)\nAbundance of flowers in each land-cover type, across seasons.\nWeighted by proximity to nesting sites and the pollinator's average foraging distance.\nSeasonal variation is included (wet, dry, etc.).\n3. Foraging activity (fa)\nSeasonal activity levels of each pollinator species or guild.\nCaptures when bees are actively visiting flowers.\n4. Flight distance (α)\nAverage foraging range of each pollinator species.\nUsed to weight floral resources by distance (closer flowers contribute more).\n5. Relative species abundance (sa)\nProportion of the total pollinator community represented by each species/guild.\nEnsures species are weighted according to their actual abundance.","locations":["POLYGON((104.456 8.526, 104.456 10.757, 107.204 10.757, 107.204 8.526, 104.456 8.526))"],"metadataDate":"2026-07-25T10:16:02.000Z","orcid":["0000-0002-0847-4185","0009-0001-1902-6679","0009-0008-1640-6407"],"organisation":["An Giang University","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/91ba4d30-48ae-41db-8ab0-997a03f8378b","10.5285/91ba4d30-48ae-41db-8ab0-997a03f8378b","doi:10.5285/91ba4d30-48ae-41db-8ab0-997a03f8378b"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/023pm6532","https://ror.org/04xw4m193"],"shortenedDescription":"The pollinator abundance index is calculated for different bee species (apis andreniform, apis cerana, apis dorsata, apis mellifera) in multiple years (2010, 2012, 2020) in three provinces: Dong Thap, Ca Mau and Kien Giang for both wet (rain) and dry (sunny) seasons.…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Bee species data and distribution in Dong Thap, Kien Giang and Ca Mau in the Vietnamese Mekong Delta, 2024","topic":["0/Environmental survey/","0/Pollinators/","0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Stirling"],"authorFamilyName":["Beresford","Barnett","Howard","Tyler","Bradley","Copplestone"],"authorFullName":["Beresford, N.A.","Barnett, C.L.","Howard, B.J.","Howard, D.C.","Tyler, A.N.","Bradley, S.","Copplestone, D."],"authorGivenName":["N.A.","C.L.","B.J.","D.C.","A.N.","S.","D."],"authorOrcid":["0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Following the Fukushima accident in March 2011, grass samples were collected from 42 sites around Great Britain during April 2011. Iodine-131 was measurable in grass samples across the country with activity concentrations ranging from 10 to 55 Bq per kg dry matter. Concentrations were similar to those reported in other European countries. Rainwater and some foodstuffs were also analysed from a limited number of sites. Of these, I-131 was only detectable in sheep's milk (c. 2 Bq/kg). Caesium-134, which can be attributed to releases from the Fukushima reactors, was detectable in six of the grass samples (4-8 Bq/kg dry matter); 137Cs was detected in a larger number of grass samples although previous release sources (atmospheric weapons test and the 1986 Chernobyl and 1957 Windscale accidents) are likely to have contributed to this. All data and information for this sampling are available from this record. The data result from collaboration between CEH and the University of Stirling.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Barnett","Howard","Tyler","Bradley","Copplestone"],"fullName":["Beresford, N.A.","Barnett, C.L.","Howard, B.J.","Howard, D.C.","Tyler, A.N.","Bradley, S.","Copplestone, D.","Beresford, N."],"givenName":["N.A.","C.L.","B.J.","D.C.","A.N.","S.","D.","Nick"],"identifier":"1a91c7d1-ec44-4858-9af2-98d80f169bbd","incomingCitationCount":5,"keyword":["Fukushima","Japan","Great Britain","Pollution","Radioecology","I-131","TREE","COMET","radionuclide","radioactive contamination","caesium","vegetation","foodstuff"],"keywordsOther":["I-131","TREE","COMET","radionuclide","radioactive contamination","caesium","vegetation","foodstuff"],"keywordsPlace":["Fukushima","Japan","Great Britain"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Non-Open government licence","lineage":"Fresh grass and other vegetation samples were finely chopped and accurately weighed into 950 ml plastic containers prior to gamma analyses. Milk (sheep and goat), rainwater and homogenised egg content samples were accurately weighed into either 150 ml or 950 ml plastic containers depending upon the sample volume available. To determine the activity concentration of gamma-emitting radionuclides, fresh samples were analysed on hyper-pure germanium detectors as soon as possible after sampling and counted for 1-2 days depending upon their 131I activity concentration. The detectors are calibrated against standards of various density and volume, and the facilities regularly participate in proficiency testing schemes. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:39:07.000Z","orcid":["0000-0002-8722-0238"],"organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","University of Stirling","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1312373222406","CEH:EIDC::1312373222406","https://catalogue.ceh.ac.uk/id/1a91c7d1-ec44-4858-9af2-98d80f169bbd","10.5285/1a91c7d1-ec44-4858-9af2-98d80f169bbd","doi:10.5285/1a91c7d1-ec44-4858-9af2-98d80f169bbd"],"resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"Following the Fukushima accident in March 2011, grass samples were collected from 42 sites around Great Britain during April 2011. Iodine-131 was measurable in grass samples across the country with activity concentrations ranging from 10 to 55 Bq per kg dry matter.…","state":"published","supplementalDescription":["Johansen, M. P., Ruedig, E., Tagami, K., Uchida, S., Higley, K., & Beresford, N. A. (2015). Radiological Dose Rates to Marine Fish from the Fukushima Daiichi Accident: The First Three Years Across the North Pacific. Environmental Science & Technology, 49(3), 1277-1285"],"temporalExtentText":"Data collected from 2011 to 2011","title":"Observations of Fukushima fallout in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh"],"authorFamilyName":["Evans","Heard","Vanbergen","Cavers","Ennos"],"authorFullName":["Evans, T.M.","Heard, M.S.","Vanbergen, A.J.","Cavers, S.","Ennos, R."],"authorGivenName":["T.M.","M.S.","A.J.","S.","R."],"authorOrcid":["0000-0002-0177-6631","0000-0001-8320-5535","0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset details the paternity of progeny from Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Plants were genotyped at seven microsatellite markers before being introduced across the study site to form experimental arrays. Experimental arrays comprised of three E.californica plants separated by 1m and arranged in a triangular formation. A total of sixteen arrays were introduced across four 100 hectare replicate blocks, each separated by >500m. At the centre of each block, four experimental arrays were placed at 50m intervals along a 150m transect laid symmetrically across the boundary between an established wildflower patch and bare, fallow ground or grazed grassland (two arrays within the florally rich habitat and two arrays within the florally poor habitat). Upon maturation approximately 10 seeds were collected from each plant and genotyped. Fragment analysis was conducted and alleles were scored on Genemarker. Seeds were then manually scored as outcrossed or selfed and paternity was determined using Cervus. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants.","documentType":"GEMINI_DOCUMENT","familyName":["Evans","Heard","Vanbergen","Cavers","Ennos"],"fullName":["Evans, T.M.","Heard, M.S.","Vanbergen, A.J.","Cavers, S.","Ennos, R.","Evans, T."],"givenName":["T.M.","M.S.","A.J.","S.","R.","Tracie"],"identifier":"7b721c07-bc38-4815-8669-4675867663d0","incomingCitationCount":0,"keyword":["Hillesden","Buckinghamshire","parentage","paternity","allele","wildflower","fallow ground","grazed grassland","Californian poppy","Eschscholzia californica"],"keywordsOther":["parentage","paternity","allele","wildflower","fallow ground","grazed grassland","Californian poppy","Eschscholzia californica"],"keywordsPlace":["Hillesden","Buckinghamshire"],"licence":"Open government licence","lineage":"All open flowers were removed from the E. californica plants prior to their placement in pre-marked locations across the landscape. One bud on each plant was covered in a fine muslin to represent a 'pollinator excluded' flower. Plants remained in the field for 16 days to ensure full anthesis of new flowers and to allow for multiple pollination events. After this period, all fruit were tagged to ensure that only fruit development arising from the period of the field experiment were included in analyses. Plants were then collected and stored under controlled glasshouse conditions until fruit maturation. Ten progeny per plant from each of the field exposed plants were genotyped using 50mg of fresh leaf material and following standardised protocols. The incidence of self-fertilisation in plants from each habitat was calculated manually by individually comparing each successfully amplified progeny against their maternal plant. If, at each of the seven loci, the progeny was a complete match for the maternal genotype, or was homozygote for one of the maternal plants alleles, it was scored as selfed. Alternatively, if any novel alleles were observed in the progeny that were not present in the maternal plant, the progeny was classified as outcrossed. Paternity was determined using Cervus 3.0.7, where each progeny sample was listed detailing alleles at the seven microsatellite loci, specifying the known maternal sample as well as the potential paternal samples.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"metadataDate":"2026-09-15T08:40:45.000Z","orcid":["0000-0002-0177-6631","0000-0001-8320-5535","0000-0003-2139-9236"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7b721c07-bc38-4815-8669-4675867663d0","10.5285/7b721c07-bc38-4815-8669-4675867663d0","doi:10.5285/7b721c07-bc38-4815-8669-4675867663d0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset details the paternity of progeny from Eschscholzia californica plants introduced to habitats comprising different floral cover. Data was collected in June 2015 at the Hillesden estate, Buckinghamshire, UK. Plants were genotyped at seven microsatellite markers…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Paternity of Eschscholzia californica plants introduced to habitats comprising different floral cover","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Akinbobola","Quilliam"],"authorFullName":["Akinbobola, A.","Quilliam, R."],"authorGivenName":["Ayorinde ","Richard"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature regimes in simulated environments and their survival was quantified by estimating the viability of exposed cells at intervals. The impact of exposure to environmental stress on the virulence of C. auris cells was also evaluated based on their virulence in Galleria mellonella larvae. The impact of pre-exposure to clinical and environmentally relevant temperatures on the susceptibility of C. auris strains to medical and agricultural azoles was also evaluated. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V005847/1)","documentType":"GEMINI_DOCUMENT","familyName":["Akinbobola","Quilliam"],"fullName":["Akinbobola, A.","Quilliam, R.","Ayorinde Akinbobola"],"funder":["Natural Environment Research Council"],"givenName":["Ayorinde ","Richard"],"grant":["NE/V005847/1"],"identifier":"722e45d2-0034-43ea-a4af-c4bfcc337ef0","incomingCitationCount":0,"keyword":["Environmental risk","Persistence","Environmental UV","Candida auris"],"keywordsOther":["Persistence","Environmental UV","Candida auris"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"This dataset was collected from microcosm experiments to evaluate the potential of Candida auris to survive selected environmental stress. The viability of Candida auris strains was estimated based on their colony-forming units after exposure to environmental UV stress or low cycling temperature. The impact of selected environmental stress on the virulence of Candida auris was also evaluated based on the survival of Galleria mellonella larvae infected with Candida auris cells exposed to selected stress compared to the survival of Galleria mellonella larvae infected with Candida auris cells not exposed to environmental stress. The impact of pre-exposure to different temperatures on the antifungal susceptibility of Candida auris was also evaluated by comparing the colony-forming units of Candida auris cells pre-exposed to different temperatures after treatment with different concentrations of fluconazole or difenoconazole. To ensure the quality of data generated, each experiment inluded at least three replicates and experimental controls.  ","metadataDate":"2026-07-25T06:51:45.000Z","organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/722e45d2-0034-43ea-a4af-c4bfcc337ef0","10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0","doi:10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature…","state":"published","title":"Survival and virulence of Candida auris under selected environmental stress","topic":["0/Environmental risk/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University "],"authorFamilyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"authorFullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"authorGivenName":["K.","O.","E.","L.M.","G.","B."],"authorOrcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for the same samples are found in accompanying files. ","documentType":"GEMINI_DOCUMENT","familyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"fullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["K.","O.","E.","L.M.","G.","B."],"identifier":"8d5af777-384c-4114-af6b-69cdac239810","incomingCitationCount":0,"keyword":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"keywordsOther":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"licence":"Open government licence","lineage":"The dataset was generated as a part of the NERC-funded project NE/X012980/1 ‘Determining vitamin D status in precontact Western Alaska: a new method for exploring past health and dietary adaptations to high-latitude living’, as well as from an earlier (internally-allocated) BBSRC-funded pilot study (in the case of some of the isotope data). Vitamin D data were all generated at the University of Aberdeen, and isotope data were generated at SUERC (carbon, nitrogen, sulphur) and Boise State University (oxygen, hydrogen). ","locations":["POLYGON((-161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71))"],"metadataDate":"2026-07-25T08:42:21.000Z","orcid":["0000-0002-9478-5966","0000-0002-9732-4583","0000-0002-9120-6236","0000-0001-5732-1532","0000-0001-6943-9773","0000-0002-2750-3914"],"organisation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d5af777-384c-4114-af6b-69cdac239810","10.5285/8d5af777-384c-4114-af6b-69cdac239810","doi:10.5285/8d5af777-384c-4114-af6b-69cdac239810"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for…","state":"published","title":"Vitamin D and stable isotope data from human hair from the archaeological site, Nunalleq, Alaska","version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Maberly","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"authorFullName":["Maberly, S.C.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"authorGivenName":["S.C.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","B.","S.J.","C.","H."],"authorOrcid":["0000-0003-3541-5903","0000-0002-3808-1534","0000-0002-8788-8449","0000-0001-5697-7062","0000-0003-0488-3843","0000-0003-3274-2706","0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling by the Centre for Ecology & Hydrology (and previously the Institute of Freshwater Ecology) at Bassenthwaite Lake in Cumbria, England. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m.  Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from August 1990 until the end of 2013. ","documentType":"GEMINI_DOCUMENT","familyName":["Maberly","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"fullName":["Maberly, S.C.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"givenName":["S.C.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","B.","S.J.","C.","H."],"identifier":"91d763f2-978d-4891-b3c6-f41d29b45d55","incomingCitationCount":0,"keyword":["Water quality","Environmental survey"],"keywordsOther":["Water quality","Environmental survey"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore.  Water samples are based on a sample integrated from 0 to 5 m.  Samples were analysed in Centre for Ecology & Hydrology laboratories.","locations":["POLYGON((-3.25 54.624, -3.25 54.68, -3.185 54.68, -3.185 54.624, -3.25 54.624))"],"metadataDate":"2026-07-25T10:16:08.000Z","orcid":["0000-0003-3541-5903","0000-0002-3808-1534","0000-0002-8788-8449","0000-0001-5697-7062","0000-0003-0488-3843","0000-0003-3274-2706","0000-0002-2028-4843"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/91d763f2-978d-4891-b3c6-f41d29b45d55","10.5285/91d763f2-978d-4891-b3c6-f41d29b45d55","doi:10.5285/91d763f2-978d-4891-b3c6-f41d29b45d55"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling by the Centre for Ecology & Hydrology (and previously the Institute of Freshwater Ecology) at Bassenthwaite…","state":"published","temporalExtentText":"Data collected from 1990 to 2013","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Bassenthwaite Lake, 1990 to 2013","topic":["0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"A collection of related datasets generated during the NERC Ecosystem Services for Poverty Alleviation (ESPA) Programme covering areas in Africa, Asia and South America.\n\nESPA is a global interdisciplinary research programme funded by the United Kingdom's Department for International Development (DFID), the Natural Environment Research Council (NERC) and the Economic and Social Research Council (ESRC).  \n\nThe ESPA programme aims to deliver high-quality, cutting-edge research that will improve understanding of the way ecosystems function, the services they provide and their relationship with the political economy and sustainable growth and provide the evidence and tools to enable decision-makers to manage ecosystems sustainably and in a way that contributes to poverty alleviation.\n\nESPA's goal is to ensure that, in developing countries, ecosystems are being sustainably managed in a way that contributes to poverty alleviation as well as to inclusive and sustainable growth.","documentType":"GEMINI_DOCUMENT","identifier":"9e18a47d-d670-4fb0-95b0-86db6e957034","incomingCitationCount":0,"licence":"Open government licence","lineage":"See catalogue records for the quality statements for each dataset.","locations":["POLYGON((-118.828 -57.704, -118.828 44.59, 157.5 44.59, 157.5 -57.704, -118.828 -57.704))"],"metadataDate":"2026-07-25T10:25:35.000Z","organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e18a47d-d670-4fb0-95b0-86db6e957034"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"A collection of related datasets generated during the NERC Ecosystem Services for Poverty Alleviation (ESPA) Programme covering areas in Africa, Asia and South America.\n\nESPA is a global interdisciplinary research programme funded by the United Kingdom's Department…","state":"published","supplementalDescription":["Related datasets from the NERC ESPA programme held at UK Data Service"],"supplementalName":["UKDS-held data resources","ESPA programme website"],"temporalExtentText":"Data collection started in 2015","title":"NERC Ecosystem Services for Poverty Alleviation (ESPA) Programme datasets","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bentley","Reinsch","Alison","Andrews","Brentegani","Chetiu","Dart","Dhiedt","Emmett","Fitos","Garbutt","Gray","Henrys","Hunt","Keenan","Keith","Koblizek","Lebron","Millani Lopes Mazzetto","Pallett","Pereira","Pinder","Risser","Rose","Rowe","Scarlett","Seaton","Smart","Towill","Wagner","Williams","Wood","Robinson"],"authorFullName":["Bentley, L.","Reinsch, S.","Alison, J.","Andrews, C.","Brentegani, M.","Chetiu, N.","Dart, S.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Hunt, A.","Keenan, P.O.","Keith, A.M.","Koblizek, E.","Lebron, I.","Millani Lopes Mazzetto, J.","Pallett, D.W.","Pereira, M.G.","Pinder, A.","Risser, H.","Rose, R.J.","Rowe, R.L.","Scarlett, P.","Seaton, F.","Smart, S.M.","Towill, J.","Wagner, M.","Williams, B.","Wood, C.M.","Robinson, D.A."],"authorGivenName":["L.","S.","J.","C.","M.","N.","E.","B.A.","R.A.","A.","P.A.","P.O.","A.M.","I.","D.W.","M.G.","H.","R.J.","R.L.","P.","F.","S.M.","B.","C.M.","D.A."],"authorOrcid":["0000-0001-5055-7673","0000-0003-4649-0677","0000-0002-6787-6192","0000-0003-2575-6800","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-9619-1320","0000-0001-8610-9717","0000-0002-2022-7451","0000-0003-2750-7832","0000-0002-0394-2998","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measurements of topsoil (0-15 cm) physico-chemical properties from soils sampled from the first 106 1-km squares across Great Britain in 2018 and 2019 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration.\n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Reinsch","Alison","Andrews","Brentegani","Chetiu","Dart","Dhiedt","Emmett","Fitos","Garbutt","Gray","Henrys","Hunt","Keenan","Keith","Koblizek","Lebron","Millani Lopes Mazzetto","Pallett","Pereira","Pinder","Risser","Rose","Rowe","Scarlett","Seaton","Smart","Towill","Wagner","Williams","Wood","Robinson"],"fullName":["Bentley, L.","Reinsch, S.","Alison, J.","Andrews, C.","Brentegani, M.","Chetiu, N.","Dart, S.","Dhiedt, E.","Emmett, B.A.","Fitos, E.","Garbutt, R.A.","Gray, A.","Henrys, P.A.","Hunt, A.","Keenan, P.O.","Keith, A.M.","Koblizek, E.","Lebron, I.","Millani Lopes Mazzetto, J.","Pallett, D.W.","Pereira, M.G.","Pinder, A.","Risser, H.","Rose, R.J.","Rowe, R.L.","Scarlett, P.","Seaton, F.","Smart, S.M.","Towill, J.","Wagner, M.","Williams, B.","Wood, C.M.","Robinson, D.A."],"funder":["Natural Environment Research Council"],"givenName":["L.","S.","J.","C.","M.","N.","E.","B.A.","R.A.","A.","P.A.","P.O.","A.M.","I.","D.W.","M.G.","H.","R.J.","R.L.","P.","F.","S.M.","B.","C.M.","D.A."],"grant":["NE/R016429/1"],"identifier":"821325f3-b353-4a51-8db2-6b2200d82aca","incomingCitationCount":0,"keyword":["UK-SCAPE","Environmental survey","Soil","derived carbon concentration","fine earth volumetric water content","SOC","bulk density of fine earth","pH","total soil organic carbon","nitrogen","soil","carbon","organic matter","bulk density","Olsen phosphorus","electrical conductivity"],"keywordsOther":["derived carbon concentration","fine earth volumetric water content","SOC","bulk density of fine earth","pH","total soil organic carbon","nitrogen","soil","carbon","organic matter","bulk density","Olsen phosphorus","electrical conductivity"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"Within each of 106 x 1-km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys.\n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:36:32.000Z","orcid":["0000-0001-5055-7673","0000-0003-4649-0677","0000-0002-6787-6192","0000-0003-2575-6800","0000-0002-2713-4389","0000-0002-9145-9786","0000-0001-9619-1320","0000-0001-8610-9717","0000-0002-2022-7451","0000-0003-2750-7832","0000-0002-0394-2998","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/821325f3-b353-4a51-8db2-6b2200d82aca","10.5285/821325f3-b353-4a51-8db2-6b2200d82aca","doi:10.5285/821325f3-b353-4a51-8db2-6b2200d82aca"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measurements of topsoil (0-15 cm) physico-chemical properties from soils sampled from the first 106 1-km squares across Great Britain in 2018 and 2019 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2018-2019","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Loughborough University","Newcastle University"],"authorFamilyName":["Chen","Liang","Xiao"],"authorFullName":["Chen, H.","Liang, Q.","Xiao, W."],"authorGivenName":["H.","Q.","W."],"authorRor":["https://ror.org/04vg4w365","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Shapefile"],"description":"The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility of outburst.","documentType":"GEMINI_DOCUMENT","familyName":["Chen","Liang","Xiao"],"fullName":["Chen, H.","Liang, Q.","Xiao, W."],"funder":["Natural Environment Research Council"],"givenName":["H.","Q.","W."],"grant":["NE/S005919/1"],"identifier":"3834d477-7a1d-4ad3-8a41-d38fc727dbd8","incomingCitationCount":0,"keyword":["Tsho Rolpa","Nepal","Glacial lake outburst floods","Hazard exposure","Object-based assessment "],"keywordsOther":["Glacial lake outburst floods","Hazard exposure","Object-based assessment "],"keywordsPlace":["Tsho Rolpa","Nepal"],"licence":"Open government licence","lineage":"Different glacial lake outburst flood (GLOF) scenarios are created using a simple dam breach model. A high-performance hydrodynamic model is then used to simulate the resulting flood hydrodynamics. Detailed socio-economic information is collected and processed from multiple sources including OpenStreetMap, Google Earth, and global data products to support exposure analysis. The exposure of objects was spatially identified by overlaying the predicted flood inundation maps and the relevant datasets that are processed and improved.","locations":["POLYGON((86.167 27.5, 86.167 27.85, 86.483 27.85, 86.483 27.5, 86.167 27.5))"],"metadataDate":"2026-09-15T08:36:34.000Z","organisation":["Loughborough University","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3834d477-7a1d-4ad3-8a41-d38fc727dbd8","10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8","doi:10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04vg4w365","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Bealey","Martin Hernandez","Levy","Stedman"],"authorFullName":["Bealey, W.J.","Martin Hernandez, C.","Levy, P.E.","Stedman, J.R."],"authorGivenName":["W.J.","C.","P.E.","J.R."],"authorOrcid":["0000-0003-3708-5864","0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides values of sulphur and nitrogen deposition, deposition of non-marine base cations and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2017 to 2019. The dataset also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are: \n (i) Special Areas of Conservation (SAC) \n (ii) Special Protection Areas (SPA) \n (iii) Sites of Special Scientific Interest (SSSI). \n\nThe data consist of values of nitrogen and acid deposition, non-marine base cation deposition, and concentrations of ammonia (NH3) based on the Concentration Based Estimated Deposition (CBED), and concentrations of NOx and SO2 using the Pollution Climate Mapping (PCM) model. \nNitrogen and acid deposition data is also given for specific habitat types including: \n (i) moorland/short vegetation everywhere, \n (ii) forest everywhere, and \n (iii) the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) \n\nThese habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances using the relevant deposition/habitat type.","documentType":"GEMINI_DOCUMENT","familyName":["Bealey","Martin Hernandez","Levy","Stedman"],"fullName":["Bealey, W.J.","Martin Hernandez, C.","Levy, P.E.","Stedman, J.R."],"givenName":["W.J.","C.","P.E.","J.R."],"identifier":"65ab44a0-58bd-43ab-a3bc-a850ddd9a0f1","incomingCitationCount":0,"keyword":["pollutant deposition","ammonia","sulphur","nitrogen"],"keywordsOther":["pollutant deposition","ammonia","sulphur","nitrogen"],"licence":"Open government licence","lineage":"The Air Pollution Information System (APIS), through the 'Site Relevant Critical Loads' tool and APIS new mapping interface, provides critical loads for acidity and nitrogen and critical levels for ammonia, sulphur dioxide and nitrogen oxides for designated features within every SAC, SPA or A/SSSI in the UK. In addition, deposition and concentration data for nitrogen, sulphur pollutants and non-marine base cations are provided at each site to give an estimate of critical load/level exceedance. \n\nThe data provided is based on pollutant deposition gridded maps for nitrogen and acid deposition and concentration maps of ammonia, nitrogen oxides, sulphur and non-marine base cations, which are overlayed to a GIS shape file of site boundaries in the UK (e.g. SAC, SPA, SSSI). These gridded maps were then clipped to provide the pollutant values for each grid square including the area of the clipped grid. The resulting data was then queried to generate site statistics in the form of a minimum, maximum and area weighted average values for each of the pollutants. \n\nFor nitrogen and acid deposition values, base cations deposition and ammonia concentrations, 3 year average pollutant maps were used at a resolution of 5 x 5 km from the CBED model for the years 2017-2019. For nitrogen dioxide and sulphur dioxide concentrations the 1 x 1 km PCM model was used based on the 3 year average (2017-2019). Deposition values are generated for specific habitat types (forest and semi-natural) to be used in critical load exceedance calculations. \n\nThe full methodology is available in the contextual metadata linked to this record. \n\nThe work of APIS is jointly funded between the Centre for Ecology & Hydrology and the UK pollution and conservation agencies including Natural Resources Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:45:11.000Z","orcid":["0000-0003-3708-5864","0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","Natural Resources Wales","Environment Agency","Northern Ireland Environment Agency","Natural England","Joint Nature Conservation Committee","Scotland and Northern Ireland Forum for Environmental Research (SNIFFER)","Scottish Environment Protection Agency","Scottish Natural Heritage"],"publicationDate":"2021-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/65ab44a0-58bd-43ab-a3bc-a850ddd9a0f1","10.5285/65ab44a0-58bd-43ab-a3bc-a850ddd9a0f1","doi:10.5285/65ab44a0-58bd-43ab-a3bc-a850ddd9a0f1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Natural Resources Wales","Environment Agency","Northern Ireland Environment Agency","Natural England","Joint Nature Conservation Committee","Scotland and Northern Ireland Forum for Environmental Research (SNIFFER)","Scottish Environment Protection Agency","Scottish Natural Heritage"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/01kxjy285"],"shortenedDescription":"This dataset provides values of sulphur and nitrogen deposition, deposition of non-marine base cations and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2017…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Deposition and concentration of nitrogen and sulphur for protected sites in the UK, 2017-2019","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ERDAS Imagine (ERDAS_IMG)"],"description":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel.  The 10 aggregate classes are groupings of 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes.\n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"711c8dc1-0f4e-42ad-a703-8b5d19c92247","incomingCitationCount":3,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover aggregate class is produced from the 1km percentage cover aggregate class product. The 1km percentage cover data is used to identify the highest percentage cover across the 10 bands and a script is used to identify with which band the maximum value coincides.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:51:18.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/711c8dc1-0f4e-42ad-a703-8b5d19c92247","10.5285/711c8dc1-0f4e-42ad-a703-8b5d19c92247","doi:10.5285/711c8dc1-0f4e-42ad-a703-8b5d19c92247"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage…","state":"published","temporalExtentText":"Data collected from 2014 to 2015","title":"Land Cover Map 2015 (1km dominant aggregate class, GB)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Newcastle","University of Stirling"],"authorFamilyName":["Pattison","Quilliam","Oliver","Willby"],"authorFullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"authorGivenName":["Z.","R.S.","D.","Nigel J."],"authorOrcid":["0000-0002-5243-0876","0000-0001-7020-4410","0000-0002-6200-562X","0000-0002-1020-0933"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up to 60 points per lake depending on water body size) in sediment and water from each lake.  Faecal indicators were quantified based on standard dilution, membrane filtration and incubation for water, and incubation in bacteria-specific broth, followed by plating and incubation for sediment extracts.  Contextual information about water quality, water bird densities, and land cover in different buffer sizes is also provided for each lake. The data were collected to investigate how connectivity and stressors interact to determine biodiversity and ecosystem function in freshwaters.\n\nThe work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats)\n","documentType":"GEMINI_DOCUMENT","familyName":["Pattison","Quilliam","Oliver","Willby"],"fullName":["Pattison, Z.","Quilliam, R.S.","Oliver, D.","Willby, N.J."],"funder":["Natural Environment Research Council"],"givenName":["Z.","R.S.","D.","Nigel J."],"grant":["NE/N006437/1 "],"identifier":"34df30f2-3163-4c11-8743-3732e49220fb","incomingCitationCount":0,"keyword":["Glasgow","Water quality","microbiology","urban area","faecal indicators","spatial variation","connectivity"],"keywordsOther":["microbiology","urban area","faecal indicators","spatial variation","connectivity"],"keywordsPlace":["Glasgow"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Sub-surface water samples and cores of the upper 5cm of sediment obtained from multiple geolocated points within each of 15 water bodies via boat-based sampling.\n\nFor consistency all sites were sampled 3 hours after sunrise in summer (July) and on ice-free days in winter (Dec/Jan). Sampling intensity was dependent on water body size. Bird distribution and numbers were recorded for an hour from a suitable vantage point at the same time of sampling.\n\nA separate water sample was collected from a mid-point in each site for laboratory analysis of metals, nutrients and other standard determinands (Thermo iCap 6000 Series or Dionex DX-120). Dissolved oxygen, pH, electrical conductivity and temperature were measured in the field using a HACH multiprobe.\n\nStandard water body characteristics (area, elevation, perimeter etc) are sourced from the U.K. Lakes Portal (https://uklakes.ceh.ac.uk/)\n\nWater samples for microbial analysis were stored at 4 C and processed within 6 h of collection. 100ml samples at three dilutions were ﬁltered through 0.45-m membrane ﬁlters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA) agar. Plates were incubated at 37 deg C and counted after 24 h. Counts are reported as colony forming unit (CFU) per 100 ml water.\n\nA mixture of sediment (~2.5 g) and 50ml Phosphate buffered saline (PBS) was used to enumerate E. coli in the sediment. All sediment dilutions were made by placing samples in sterile PBS and shaking them. Each dilution was spread using disposable sterile loops onto MLGA agar plates and incubated at 37 deg C for 24 hours before counting colonies. To quantify abundance of Campylobacter, I. Enterococci, E. coli 0157 and E.coli in sediment a single composite 1g subsample was placed into a sterilised glass vial of 100ml LB broth. A 100ug sample of the aliquot of each sample was spread over the surface of agar plates with a disposable sterile loop and incubated following isolation and incubation protocol for each type of bacteria. Colonies were counted, and results are reported as CFU per g oven-dried soil.\n\nData were added to an Excel spreadsheet and exported as a .csv file for deposit into the EIDC.","locations":["POLYGON((-4.603 55.674, -4.603 55.983, -3.834 55.983, -3.834 55.674, -4.603 55.674))"],"metadataDate":"2026-07-24T20:36:00.000Z","orcid":["0000-0002-5243-0876","0000-0001-7020-4410","0000-0002-6200-562X","0000-0002-1020-0933"],"organisation":["University of Newcastle","University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/34df30f2-3163-4c11-8743-3732e49220fb","10.5285/34df30f2-3163-4c11-8743-3732e49220fb","doi:10.5285/34df30f2-3163-4c11-8743-3732e49220fb"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/01kj2bm70","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about water quality based on faecal indicators at 15 lakes in the Greater Glasgow conurbation, Scotland. Lakes were sampled in winter (2016/17) and summer (2017) with faecal indicators being quantified at high spatial resolution (up…","state":"published","supplementalName":["Hydroscape website"],"temporalExtentText":"Data collected from 2016 to 2017","title":"High spatial resolution seasonal distributions of faecally-derived waterborne and sediment bacteria in standing waters, Glasgow, UK, 2016-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorOrcid":["0000-0003-4758-1482","0000-0001-9619-1320","0000-0001-7290-4867","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Countryside Survey topsoil invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. For invertebrate data, a total of 947 cores from 256 1km x 1km squares across Great Britain were analysed in 2007. Please see Emmett et al. 2010 for further details of sampling and methods (http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Estimates of mean values within selected habitats and parent material characteristics across GB were made using CS data from 1978, 1998 and 2007 using a mixed model approach. Please see Scott, 2008 for further details of similar statistical analysis (http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). The estimated means of habitat /parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Supporting Information). Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat / parent material combinations were insufficient to estimate mean values.","documentType":"GEMINI_DOCUMENT","familyName":["Henrys","Keith","Robinson","Emmett"],"fullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"givenName":["P.A.","A.M.","D.A.","B.A."],"identifier":"f19de821-a436-4b28-95f6-b7287ef0bf15","incomingCitationCount":0,"keyword":["UKCEH Countryside Survey","Soil","Acari","Broad Habitat","Collembola","Microarthropods","Parent Material Model","Taxa richness","Springtail","mite","soil","organic matter","ecological abundance"],"keywordsOther":["Acari","Broad Habitat","Collembola","Microarthropods","Parent Material Model","Taxa richness","Springtail","mite","soil","organic matter","ecological abundance"],"keywordsProject":["UKCEH Countryside Survey"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"metadataDate":"2026-07-25T18:05:09.000Z","orcid":["0000-0003-4758-1482","0000-0001-9619-1320","0000-0001-7290-4867","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1333024283194","CEH:EIDC::1333024283194","https://catalogue.ceh.ac.uk/id/f19de821-a436-4b28-95f6-b7287ef0bf15","10.5285/f19de821-a436-4b28-95f6-b7287ef0bf15","doi:10.5285/f19de821-a436-4b28-95f6-b7287ef0bf15"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Countryside Survey topsoil invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. For invertebrate data, a total of 947 cores from 256 1km x 1km squares across Great Britain…","state":"published","supplementalDescription":["Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010). Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259).","Scott, W.A. (2008). Countryside Survey: Statistical Report. Technical Report No. 4/07. NERC/Centre for Ecology & Hydrology."],"supplementalName":["Countryside Survey Soils Report from 2007","Countryside Survey Statistical Report"],"title":"Model estimates of topsoil invertebrates [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"availability":"Unknown","catalogue":"eidc","description":"SCO2FLUX is a network of sites across Scotland monitoring greenhouse gas exchange and associated meteorological and pedological variables. The majority of sites are eddy-covariance flux towers on peat soils but there is also a tower on an agricultural mineral soil and chamber measurements on a river bank with mineral soil. All sites record basic meteorological variables such as air temperature, relative humidity and incoming total solar radiation. The data are reported at half-hourly intervals and the eddy-covariance data is gap-filled using standard analysis techniques similar to those specified for the global FLUXNET program.","documentType":"GEMINI_DOCUMENT","identifier":"96f5be22-5c97-4e5b-810f-a9b1006cb255","incomingCitationCount":0,"keyword":["carbon dioxide flux","carbon dioxide exchange","peatland","methane flux","methane exchange"],"keywordsOther":["carbon dioxide flux","carbon dioxide exchange","peatland","methane flux","methane exchange"],"licence":"Non-Open government licence","metadataDate":"2024-10-28T14:49:38.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/96f5be22-5c97-4e5b-810f-a9b1006cb255"],"resourceType":"Aggregation","shortenedDescription":"SCO2FLUX is a network of sites across Scotland monitoring greenhouse gas exchange and associated meteorological and pedological variables. The majority of sites are eddy-covariance flux towers on peat soils but there is also a tower on an agricultural mineral soil and…","state":"published","title":"SCO2FLUX Network Carbon dioxide and methane fluxes with associated environmental observations","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"authorGivenName":["M.S.","I.","J.","C.","R.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.","Conway, R.","Roy, D.B."],"funder":["Natural Environment Research Council","Butterfly Conservation","Joint Nature Conservation Committee"],"givenName":["M.S.","I.","J.","C.","R.","D.B."],"grant":["NE/R016429/1"],"identifier":"1b522961-9d5e-460c-8762-389f2314e85b","incomingCitationCount":0,"keyword":["Biodiversity","England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly"],"keywordsOther":["England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:15:29.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2023-12-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1b522961-9d5e-460c-8762-389f2314e85b","10.5285/1b522961-9d5e-460c-8762-389f2314e85b","doi:10.5285/1b522961-9d5e-460c-8762-389f2314e85b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed,…","state":"published","supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 2022 to 2022","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2022","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Nottingham","Newcastle University"],"authorFamilyName":["Taylor","Watson","Bell","Skelhorn","Gilbert","Reader"],"authorFullName":["Taylor, C.H.","Watson, D.J.G.","Bell, D.","Skelhorn, J.","Gilbert, F.","Reader, T."],"authorGivenName":["C.H.","D.J.G.","D.","J.","F. ","T."],"authorOrcid":["0000-0003-4299-7104","0009-0002-9678-6791","0000-0002-8385-4831","0000-0002-2727-4103","0000-0001-7586-8814"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data describe individual behaviour during an experiment investigating chick responses to different trait combinations in 3D-printed insect replicas. Replicas were based on various combinations of shape, pattern, colour and size traits taken from either non-mimetic flies (Tachina fera) or wasps (Vespula vulgaris). Data describe chick progress through several phases:\n-\tA grouped phase where chicks became familiar with foraging within the experimental arena\n-\tA training phase, during which they open lids of small dishes and consume mealworms, \n-\tA learning phase, where the chicks learned to associate fly stimuli with a reward and wasp stimuli with no reward \n-\tA testing phase, in which they were presented with single stimuli at a time and we recorded the time taken to approach and attack the stimulus.\nAlso included are chick growth curves (daily weights in g) for the period of the experiment.\n","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Watson","Bell","Skelhorn","Gilbert","Reader"],"fullName":["Taylor, C.H.","Watson, D.J.G.","Bell, D.","Skelhorn, J.","Gilbert, F.","Reader, T."],"funder":["Natural Environment Research Council"],"givenName":["C.H.","D.J.G.","D.","J.","F. ","T."],"grant":["NE/S000623/1"],"identifier":"45391184-603e-4284-bb3c-9c8c6bf856ab","incomingCitationCount":0,"keyword":["Animal behaviour","Behaviour","innate","Gallus gallus domesticus","wasp","Hymenoptera","fly","Syrphidae","mimicry","3D printing","bird"],"keywordsOther":["Behaviour","innate","Gallus gallus domesticus","wasp","Hymenoptera","fly","Syrphidae","mimicry","3D printing","bird"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Behavioural observations were noted in the laboratory at the time of the experiment, and later transcribed from notebooks to digital spreadsheets. Timings were analysed from video recordings played at 0.3x using the software BORIS. Quality control and collation of data was carried out within R v.4.3.2 before export to .csv","metadataDate":"2026-07-24T21:16:27.000Z","orcid":["0000-0003-4299-7104","0009-0002-9678-6791","0000-0002-8385-4831","0000-0002-2727-4103","0000-0001-7586-8814"],"organisation":["University of Nottingham","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/45391184-603e-4284-bb3c-9c8c6bf856ab","10.5285/45391184-603e-4284-bb3c-9c8c6bf856ab","doi:10.5285/45391184-603e-4284-bb3c-9c8c6bf856ab"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These data describe individual behaviour during an experiment investigating chick responses to different trait combinations in 3D-printed insect replicas. Replicas were based on various combinations of shape, pattern, colour and size traits taken from either non-mimetic…","state":"published","title":"Chick behavioural responses to 3D-printed insect replicas, featuring combinations of traits from wasps and flies","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Queen Mary University of London","Natural History Museum of Denmark","Universiti of Malaysia Sabah","Muséum national d'Histoire naturelle"],"authorFamilyName":["Drinkwater","Schnell","Bohmann","Bernard","Veron","Clare","Gilbert","Rossiter"],"authorFullName":["Drinkwater, R.","Schnell, I.D.","Bohmann, K.","Bernard, H.","Veron, G.","Clare, E.","Gilbert, T.P.","Rossiter, S.J."],"authorGivenName":["R.","I.D.","K.","H.","G.","E.","T.P.","S.J."],"authorOrcid":["0000-0001-6892-1664","0000-0002-0436-785X","0000-0001-7907-064X","0000-0003-4247-3976","0000-0002-6563-3365","0000-0002-5805-7195"],"authorRor":["https://ror.org/026zzn846","https://ror.org/040v70252","https://ror.org/03wkt5x30"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the results from a metabarcoding study of terrestrial leech blood meals to detect differences in the diets of two leech species, Haemadipsa picta and Haemadipsa sumatrana. Mammal taxa were identified using metabarcoding of 16s rRNA and comparisons of operational taxonomic units (OTUs) to a curated reference database from NCBI (National Center for Biotechnology Information) GenBank. All leeches were collected from the Stability of Altered Forest Ecosystems project (SAFE; www.SAFEproject.net) as part of the NERC Human Modified tropical Forest Programme and the LOMBOK consortia (Land-use Options for Maintaining BiOdiversity & eKosystem functions). Leech samples were collected at different sites across a habitat gradient, to assess these invertebrates as molecular sampling tools for mammals. Individuals were pooled before amplicon sequencing with Illumina MiSeq 150-200bp x2. The resultant raw sequences were filtered and clustered at 97%, curated and then assigned to the reference database using BLAST and MEGAN programmes. ","documentType":"GEMINI_DOCUMENT","familyName":["Drinkwater","Schnell","Bohmann","Bernard","Veron","Clare","Gilbert","Rossiter"],"fullName":["Drinkwater, R.","Schnell, I.D.","Bohmann, K.","Bernard, H.","Veron, G.","Clare, E.","Gilbert, T.P.","Rossiter, S.J."],"funder":["Natural Environment Research Council"],"givenName":["R.","I.D.","K.","H.","G.","E.","T.P.","S.J.","Rosie"],"grant":["NE/K016148/1"],"identifier":"3affed0d-fe6f-4916-89e3-e672639191e5","incomingCitationCount":0,"keyword":["Sabah","Borneo","Biodiversity","Haemadipsa picta","Haemadipsa sumatrana"],"keywordsOther":["Haemadipsa picta","Haemadipsa sumatrana"],"keywordsPlace":["Sabah","Borneo"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Individuals of both species were collected at 25m2 vegetation plots in the forest blocks (A-F, LFE, LF1-3 & VJR) at the SAFE project Sabah (corresponding to second order points). Plots are approximately 173m apart and all plots were sampled 4 times between February 2015 and June 2015. Sampling consists of searching the leaf litter and undergrowth for leeches for a fixed time of 20 minutes. Individuals are kept in RNALater to stabilise DNA until extraction. DNA extraction of pools of ten individual leeches was undertaken using a digestion buffer with modified QiaQuick (Qiagen) protocol and dual tagged PCR in triplicate reactions (details in Drinkwater et al. in review).  After screening samples for successful PCR amplification, a total of 41 samples of pooled Haemadipsa sumatrana and 49 pooled Haemadipsa picta from six sites remained for sequencing (B, F, D, LF, LFE, VJR). Amplicons were pooled for library build following Carøe et al, 2017) and sequencing with Illumina MiSeq 150-200bp x2. Sumaclust was used for OTU clustering (Mercier et al., 2013) and LULU was used for post-clustering filtering (Frøslev et al., 2017). This resulted in the final contingency table comparing mammal detections with leech pool. \n\nCarøe, C., Gopalakrishnan, S., Vinner, L., Mak, S. S. T., Sinding, M. H. S., Samaniego, J. A., Wales, N., Sicheritz-Ponten, M., Gilbert, M. T. P. (2017). Single-tube library preparation for degraded DNA. Methods in Ecology and Evolution, 9(2), 410-419. https://doi.org/10.1111/2041-210X.12871\n\nFrøslev, T. G., Kjøller, R., Bruun, H. H., Ejrnæs, R., Brunbjerg, A. K., Pietroni, C., & Hansen, A. J. (2017). Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimates. Nature Communications, 8(1), 1188. https://doi.org/10.1038/s41467-017-01312-x\n\nMercier, C., Boyer, F., Bonin, A., & Coissac, E. (2013). SUMATRA and SUMACLUST: fast and exact comparison and clustering of sequences. In Programs and Abstracts of the SeqBio workshop (pp. 27-29).","locations":["POLYGON((113.75 4.182, 113.75 7.111, 119.353 7.111, 119.353 4.182, 113.75 4.182))"],"metadataDate":"2026-09-15T08:41:52.000Z","orcid":["0000-0001-6892-1664","0000-0002-0436-785X","0000-0001-7907-064X","0000-0003-4247-3976","0000-0002-6563-3365","0000-0002-5805-7195"],"organisation":["Queen Mary University of London","Natural History Museum of Denmark","Universiti of Malaysia Sabah","Muséum national d'Histoire naturelle","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3affed0d-fe6f-4916-89e3-e672639191e5","10.5285/3affed0d-fe6f-4916-89e3-e672639191e5","doi:10.5285/3affed0d-fe6f-4916-89e3-e672639191e5"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/040v70252","https://ror.org/03wkt5x30","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the results from a metabarcoding study of terrestrial leech blood meals to detect differences in the diets of two leech species, Haemadipsa picta and Haemadipsa sumatrana. Mammal taxa were identified using metabarcoding of 16s rRNA and comparisons…","state":"published","supplementalName":["SAFE project website"],"temporalExtentText":"Data collected from 2015 to 2015","title":"Mammal occurrence identified from metabarcoding of two leech species from Sabah, Malaysia","topic":["0/Biodiversity/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Jarvis","Risser","Smart","Monteith","Henrys"],"authorFullName":["Jarvis, S.G.","Risser, H.","Smart, S.M.","Monteith, D.","Henrys, P.A."],"authorGivenName":["S.G.","H.","S.M.","D.","P.A."],"authorOrcid":["0000-0001-5382-5135","0000-0001-9819-1092","0000-0003-2750-7832","0000-0003-4758-1482"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This information product contains gridded estimates of Ellenberg vegetation indicator scores for four different indicators: fertility (N); pH/reactivity (R); light availability (L) and moisture (F) at 1km2 resolution. Both cover-weighted (cwt) and non-cover weighted (site) Ellenberg indicators are estimated. Estimates are made for two different time periods, 1990 and 2015-2019 and the change between the two time periods is also presented. \n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Risser","Smart","Monteith","Henrys"],"fullName":["Jarvis, S.G.","Risser, H.","Smart, S.M.","Monteith, D.","Henrys, P.A.","Jarvis, S."],"funder":["Natural Environment Research Council"],"givenName":["S.G.","H.","S.M.","D.","P.A.","Susan"],"grant":["NE/R016429/1"],"identifier":"0a9900f2-8556-4487-bc13-9c2fdc05082c","incomingCitationCount":0,"keyword":["Modelling","Ellenberg","Vegetation","Quadrats","Intergrated modelling","Long term monitoring","UKSCAPE"],"keywordsOther":["Ellenberg","Vegetation","Quadrats","Intergrated modelling","Long term monitoring","UKSCAPE"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Estimates were derived using three different vegetation monitoring datasets: Countryside Survey (CS); National Plant Monitoring Scheme (NPMS) and Natural England’s Long Term Monitoring Network (LTMN). All three datasets contributed to the 2015-2019 estimates but only CS was available historically to create 1990 estimates. Predictions from generalised additive mixed models including climate and deposition variables were used to create gridded estimates at 1km2 resolution. Change was calculated as the difference between the two time periods. Uncertainty estimates are provided for alongside all estimates.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:58:56.000Z","orcid":["0000-0001-5382-5135","0000-0001-9819-1092","0000-0003-2750-7832","0000-0003-4758-1482"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0a9900f2-8556-4487-bc13-9c2fdc05082c","10.5285/0a9900f2-8556-4487-bc13-9c2fdc05082c","doi:10.5285/0a9900f2-8556-4487-bc13-9c2fdc05082c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This information product contains gridded estimates of Ellenberg vegetation indicator scores for four different indicators: fertility (N); pH/reactivity (R); light availability (L) and moisture (F) at 1km2 resolution. Both cover-weighted (cwt) and non-cover weighted…","state":"published","temporalExtentText":"Data collected from 1990 to 2019","title":"Gridded estimates of Ellenberg N, R, F, and L indicators for Great Britain, 1990 and 2015-2019","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=5"}