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Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of the long-term monitoring programme, which began in 1968 and is still underway. Sampling and analyses were conducted by UK Centre for Ecology & Hydrology (UKCEH). The data collection and processing were supported by the Natural Environment Research Council (NERC) award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Olszewska","Birch","Dobel","Grant","Ives","MacSporran","May","McKenzie","Taylor","Woods"],"fullName":["Olszewska, J.P.","Birch, E.","Dobel, A.","Grant, A.","Ives, S.","MacSporran, A.","May, L.","McKenzie, R.","Taylor, P.J.","Woods, H.","Justyna Olszewska"],"funder":["Natural Environment Research Council"],"givenName":["J.P.","E.","A,","A.","S.","L.","R.","P.J.","H."],"grant":["NE/Y006208/1"],"identifier":"38e5d47b-9efb-44fb-8860-7fc4d885ab02","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","Loch Leven","Scotland","Silica","Water chemistry","UK","lake"],"keywordsOther":["Loch Leven","Scotland","Silica","Water chemistry","UK","lake"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Water samples were processed and analysed using a colorimetric method in a laboratory in Edinburgh, with the results recorded into a database.  All data has been through a QA process, which is detailed in the supporting document.","locations":["POLYGON((-3.424 56.171, -3.424 56.224, -3.319 56.224, -3.319 56.171, -3.424 56.171))"],"metadataDate":"2026-07-24T20:38:42.000Z","orcid":["0000-0002-4910-2206","0009-0005-7203-3260","0000-0003-3385-9973","0000-0003-1663-9426"],"organisation":["UK Centre for Ecology & Hydrology","University of Edinburgh","Natural History Museum of Denmark","Marine Scotland","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/38e5d47b-9efb-44fb-8860-7fc4d885ab02","10.5285/38e5d47b-9efb-44fb-8860-7fc4d885ab02","doi:10.5285/38e5d47b-9efb-44fb-8860-7fc4d885ab02"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/040ck2b86","https://ror.org/02kh2f959","https://ror.org/05tzsrw37","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises silica concentrations in water from Loch Leven, Scotland, between years 2007 and 2023. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of the long-term monitoring programme, which began in 1968 and is…","state":"published","temporalExtentText":"Data collected from 2007 to 2023","title":"Loch Leven long-term monitoring data (silica concentrations), 2007-2023","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Carnell","Tomlinson"],"authorFullName":["Carnell, E.","Tomlinson, S."],"authorGivenName":["Ed","Samuel"],"authorOrcid":["0000-0003-0870-1955","0000-0002-3237-7596"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains gridded population estimates for the UK at 1 km x 1 km resolution, disaggregated by urban and rural classification, based on the 2021 UK census (2022 for Scotland) and Land Cover Map 2021 input data. It is related to the UK gridded population dataset, sharing the same Output Area-level census inputs, Land Cover Map 2021 land-use classes, and 1 km British National Grid (OSGB36) output framework. This dataset separates the gridded estimates into urban and rural populations, based on the rural/urban classification of the source Output Areas.\n\nIn addition to this simple, binary urban/rural split, the dataset retains more detailed classifications, where available. England & Wales uses a 6-fold classification (Urban, Larger Rural and Smaller Rural, each split by accessibility to a larger town or city). Scotland an 8-fold classification that further distinguishes Accessible, Remote and Very Remote areas by drive time to the nearest substantial settlement. Northern Ireland has no official Output Area/Data Zone-level rural-urban classification, so only the binary Urban/Rural split (derived from NISRA's 2015 Settlement Development Limits) is available there.\n\nEach 1 km grid cell also includes the underlying proportion of urban and rural Output Areas, allowing the population estimates to be compared to the area coverage. Population totals at each processing step were checked against official 2021/2022 Census totals, so that the summed urban and rural (and intermediate category) grids reproduce the official Census population count for the UK in 2021/2022.","documentType":"GEMINI_DOCUMENT","familyName":["Carnell","Tomlinson"],"fullName":["Carnell, E.","Tomlinson, S.","Edward Carnell"],"funder":["Natural Environment Research Council"],"givenName":["Ed","Samuel","Edward"],"grant":["NE/Y006208/1"],"identifier":"0d6995a5-5007-4145-b685-d149dcb24c83","incomingCitationCount":0,"keyword":["Modelling","Land use","Land cover","population density"],"keywordsOther":["population density"],"keywordsTheme":["Modelling","Land use","Land cover"],"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.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-16T12:15:36.000Z","orcid":["0000-0003-0870-1955","0000-0002-3237-7596"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d6995a5-5007-4145-b685-d149dcb24c83","10.5285/0d6995a5-5007-4145-b685-d149dcb24c83","doi:10.5285/0d6995a5-5007-4145-b685-d149dcb24c83"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded population estimates for the UK at 1 km x 1 km resolution, disaggregated by urban and rural classification, based on the 2021 UK census (2022 for Scotland) and Land Cover Map 2021 input data. It is related to the UK gridded population dataset,…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Urban-Rural Classification of UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021","topic":["0/Modelling/","0/Land use/","0/Land cover/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (area) data for landscape features across Great Britain in 1990. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 506 1km squares across Great Britain.\n\nThe 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 Centre for Ecology & Hydrology, with repeated visits to the majority of 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 habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"identifier":"94f664e5-10f2-4655-bfe6-44d745f5dca7","incomingCitationCount":1,"keyword":["Countryside Survey","Environmental survey","Land use","habitat","landscape"],"keywordsOther":["habitat","landscape"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Environmental survey","Land use"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats from 506 1km squares were digitized in 2000. Data are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:18:33.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94f664e5-10f2-4655-bfe6-44d745f5dca7","10.5285/94f664e5-10f2-4655-bfe6-44d745f5dca7","doi:10.5285/94f664e5-10f2-4655-bfe6-44d745f5dca7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for landscape features across Great Britain in 1990. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 506 1km squares across…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Landscape area data 1990 [Countryside Survey]","topic":["0/Environmental survey/","0/Land use/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Barker","Smith","Svensson","Tanguy","Hannaford"],"authorFullName":["Barker, L.J.","Smith, K.A.","Svensson, C.","Tanguy, M.","Hannaford, J."],"authorGivenName":["L.J.","K.A.","C.","M.","J."],"authorOrcid":["0000-0002-2913-0664","0000-0003-1060-9103","0000-0001-9294-5826","0000-0002-1516-6834","0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the Standardised Streamflow Index (SSI) data for 303 catchments across the United Kingdom from 1891 to 2015. The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here, the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. Each accumulation period is calculated for calendar end-months. The standard period used to fit the Tweedie distribution is 1961-2010. \n\nThe SSI was produced by the RCUK-funded Historic Droughts project in order to characterise and explore hydrological drought severity over the period 1891-2015. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Barker","Smith","Svensson","Tanguy","Hannaford"],"fullName":["Barker, L.J.","Smith, K.A.","Svensson, C.","Tanguy, M.","Hannaford, J.","Barker, L."],"funder":["Natural Environment Research Council"],"givenName":["L.J.","K.A.","C.","M.","J.","Lucy"],"grant":["NE/L01016X/1"],"identifier":"58ef13a9-539f-46e5-88ad-c89274191ff9","incomingCitationCount":3,"keyword":["United Kingdom","Historic Droughts","Drought Inventory","Drought Catalogue","Drought Indicator","SSI","Standardised Streamflow Index","drought","catchment","water scarcity"],"keywordsOther":["Drought Inventory","Drought Catalogue","Drought Indicator","SSI","Standardised Streamflow Index","drought","catchment","water scarcity"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Historic Droughts"],"licence":"Open government licence","lineage":"The SSI is calculated as defined in Svensson, et al., (2017 https://doi.org/ 10.1002/2016WR019276) and is based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. The Tweedie distribution was fitted to each accumulated time series of monthly mean flows. The 'SCI' package for R was used to calculate the SSI and a new function was written to enable the SCI package to call the 'tweedie' package for R. The input data used is monthly mean streamflow derived from modelled reconstructed streamflow (Smith et al., 2018 https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e). Data were exported in comma separated value files (.csv format) and ingested into the EIDC.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:41:34.000Z","orcid":["0000-0002-2913-0664","0000-0003-1060-9103","0000-0001-9294-5826","0000-0002-1516-6834","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/58ef13a9-539f-46e5-88ad-c89274191ff9","10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9","doi:10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the Standardised Streamflow Index (SSI) data for 303 catchments across the United Kingdom from 1891 to 2015. The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here,…","state":"published","temporalExtentText":"Data collected from 1891 to 2015","title":"Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Metcalf","Fellows","White","Quilliam"],"authorFullName":["Metcalf, R.","Fellows, R.","White, H.L.","Quilliam, R."],"authorGivenName":["R.","H.L. "],"authorOrcid":["0000-0002-1463-427X","0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"In this mesocosm study, three types of wet wipes (plastic containing, and home and commercially compostable) colonised with E. coli were buried in beach sand and their degradation, tensile strength, and concentration of E. coli was quantified over 15 weeks. \nWipes were firstly passed through a series of treatments to simulate their journey from the bathroom to the beach. Water characteristics (pH, salinity) of these water types were measured.\n","documentType":"GEMINI_DOCUMENT","familyName":["Metcalf","Fellows","White","Quilliam"],"fullName":["Metcalf, R.","Fellows, R.","White, H.L.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.L. "],"grant":["NE/S005196/1 ","NE/V005847/1"],"identifier":"19a8083b-afa4-40b9-91bf-7a529eea870d","incomingCitationCount":0,"keyword":["Pollution","public health","environmental pathogens","sewage discharge","plastic pollution","sand microbiology","microbiology"],"keywordsOther":["public health","environmental pathogens","sewage discharge","plastic pollution","sand microbiology","microbiology"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"At weekly timepoints (for 15 weeks), four of each wet wipe type were randomly selected, and removed from the mesocosm using sterile forceps. The loosely adhering sand was shaken off and each wet wipe transferred into a sterile glass vial containing 20 ml phosphate-buffered saline (PBS). Vials were then vortexed at 1500 rpm for 5 min and E. coli enumerated by filtering the PBS through 0.45 μm filters, which were placed onto selective media and incubated at 37°C. The wet wipes were removed from the glass vials and left to dry overnight. The following day, a 50 N digital force meter was used to quantify tensile strength by measuring the force required to break each wipe. Wipes were also photographed to determine degradation visually.\nBackground bacterial concentrations were measured by filtering 100 ml water through 0.45 μm cellulose acetate membranes and placed onto selective media.\n","metadataDate":"2026-07-24T19:14:19.000Z","orcid":["0000-0002-1463-427X","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre","University of Stirling "],"publicationDate":"2024-07-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/19a8083b-afa4-40b9-91bf-7a529eea870d","10.5285/19a8083b-afa4-40b9-91bf-7a529eea870d","doi:10.5285/19a8083b-afa4-40b9-91bf-7a529eea870d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling "],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"In this mesocosm study, three types of wet wipes (plastic containing, and home and commercially compostable) colonised with E. coli were buried in beach sand and their degradation, tensile strength, and concentration of E. coli was quantified over 15 weeks. \nWipes were…","state":"published","title":"Tensile strength and concentrations of E. coli colonising three types of wet wipes in a sand mesocosm","topic":["0/Pollution/"],"version":1.0,"view":["public","jashun"]},{"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":["0000-0002-1516-6834","0000-0002-5256-3310","0000-0002-2913-0664","0000-0001-9294-5826","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, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T14:17:50.000Z","orcid":["0000-0002-1516-6834","0000-0002-5256-3310","0000-0002-2913-0664","0000-0001-9294-5826","0000-0003-1142-4039"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS 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","temporalExtentText":"Data collected from 1961 to 2012","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":["University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Leach","Neal","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Neal, M.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["D.","M.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Discrete data for major ions and nutrients in river water for 13 sites in the Humber catchment over the periods 1993 to 1997 and 1996 to 1997 and for 3 sites from the Tweed catchment over the period 1994 to 1997. Ions and nutrients measured were: Ammonia, Calcium (dissolved), Magnesium (dissolved), Potassium (dissolved), Sodium (dissolved), Bromide-ion, Carbon (organic dissolved), Chloride-ion, Nitrate, Nitrite, Phosphorus (soluble reactive), Phosphorus (total dissolved), Silicate (reactive dissolved), Sulphate, Carbon (organic particulate), Nitrogen (particulate), Phosphorus (total). Sites were sampled at regular weekly intervals and more intermittently during high flows (on average an extra sampling once a month per site). Samples were obtained using a wide neck PTFE bottle in a plastic covered bottle carrier (lowered from bridges where possible otherwise collected by immersing sample bottle by hand in the water as near the main flow as possible). Samples were filtered through Whatman 0.45um sterile membrane filters immediately on return to laboratory. Samples stored in sterilin tubes in the dark at 40C and analysed by Dionex DX100 ion chromatography system. Silicate reactive dissolved and Chloride-ion concentrations were determined by automated colourimetry and dissolved organic carbon concentrations were determined using a TOCsin II aqueous carbon analyser. Some samples on the River Aire were collected using EPIC automatic samplers. The analysis was carried out by members of the analytical chemistry section at York University (from April 1994 until November 1996) and at Wallingford Institute of Hydrology (September 1993 to April 1994 and December 1996 to April 1997), as part of the Land Ocean Interaction Study (LOIS).","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Neal","Bachiller-Jareno","Tindall","Moore","Fry"],"fullName":["Leach, D.","Neal, M.","Bachiller-Jareno, N.","Tindall, I.","Moore, R.","Fry, M."],"givenName":["D.","M.","N.","I.","R.","Matt"],"identifier":"4482fa14-aee2-4c7f-9c62-a08dc9704051","incomingCitationCount":1,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","Calcium","Magnesium","Potassium","Sodium","Bromide","Silicate","Land Ocean Interaction Study","LOIS","nitrogen","sulphate","phosphorus","nitrite","nitrate","carbon","chloride","ammonia","water quality","Water quality"],"keywordsOther":["Calcium","Magnesium","Potassium","Sodium","Bromide","Silicate","Land Ocean Interaction Study","LOIS","nitrogen","sulphate","phosphorus","nitrite","nitrate","carbon","chloride","ammonia","water quality","Water quality"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"licence":"Open government licence","lineage":"For the major ion determinations, quality control standards were included with the samples during analysis. Standards were periodically sent to the analytical chemistry at the Institute of Hydrology (Wallingford) for comparison. Spiked samples prepared by the Institute of Freshwater Ecology (East Stoke) were also analysed occasionally as part of inter-laboratory comparison studies. The lowest quotable values were taken as five times the detection level and variables were rounded to the nearest 0.05 mg/l for Bromide, 0.1 mg/l for Nitrite, 0.2 mg/l for Phosphate, Sodium, Ammonium, Potassium, Magnesium. 0.5 mg/l for Nitrate and Calcium, and 1 mg/l for Chloride and Sulphate. For Carbon organic dissolved, Chloride-ion and Silicate reactive dissolved, the lowest quotable values were taken as 2% of the highest calibration standard and both variables were rounded to 1% of the highest calibration standard. 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 to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-09-15T08:39:46.000Z","organisation":["University of York","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373029845405","CEH:EIDC::1373029845405","https://catalogue.ceh.ac.uk/id/4482fa14-aee2-4c7f-9c62-a08dc9704051","10.5285/4482fa14-aee2-4c7f-9c62-a08dc9704051","doi:10.5285/4482fa14-aee2-4c7f-9c62-a08dc9704051"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Discrete data for major ions and nutrients in river water for 13 sites in the Humber catchment over the periods 1993 to 1997 and 1996 to 1997 and for 3 sites from the Tweed catchment over the period 1994 to 1997. Ions and nutrients measured were: Ammonia, Calcium (dissolved),…","state":"published","temporalExtentText":"Data collected from 1993 to 1997","title":"Major ion and nutrient data from rivers [LOIS]","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Strathclyde"],"authorFamilyName":["Wadkin-Snaith","Mulheran","Johnston"],"authorFullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"authorGivenName":["D.","P.","K."],"authorOrcid":["0000-0002-9469-8010","0000-0002-5817-3479"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII","Plain text"],"description":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher to replicate the molecular dynamics simulations. ","documentType":"GEMINI_DOCUMENT","familyName":["Wadkin-Snaith","Mulheran","Johnston"],"fullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"funder":["Natural Environment Research Council"],"givenName":["D.","P.","K."],"grant":["NE/V010603/1"],"identifier":"25fc1140-07bf-424a-a32c-87dbba9c426a","incomingCitationCount":0,"keyword":["Modelling","Polymers","Surfaces","Molecular dynamics simulations"],"keywordsOther":["Polymers","Surfaces","Molecular dynamics simulations"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Input files were created by researchers. The model parameters were based on the well-known Kremer-Grest model and were modified to include an angle potential and some attractive non-bonded parameters as outlined in the publication: https://doi.org/10.1016/j.polymer.2023.126113\n","metadataDate":"2026-07-24T19:26:05.000Z","orcid":["0000-0002-9469-8010","0000-0002-5817-3479"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25fc1140-07bf-424a-a32c-87dbba9c426a","10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a","doi:10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher…","state":"published","supplementalName":["Filler-induced heterogeneous nucleation of polymer crystals investigated by molecular dynamics simulations"],"title":"Simulation details, force field parameters, and topology information for use in LAMMPS software for molecular dynamics simulations of polymer crystallisation at a surface","topic":["0/Modelling/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Southampton"],"authorFamilyName":["Wood","Hawkins","Godbold","Solan"],"authorFullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"authorGivenName":["C.L.","S.J.","J.A.","M."],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details macrofaunal abundance across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals counted. Values for macrofaunal abundance are expressed as number of individuals per square metre of sediment.\n\nAbundance data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (winter) and across all sites, but only at the 1m scale.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Hawkins","Godbold","Solan"],"fullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.J.","J.A.","M.","Martin"],"grant":["NE/J015644/1"],"identifier":"d5317679-449f-4829-9caf-39973fe27c07","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","macrofauna","season","spatial scale","species","intertidal zone","sediment","salt marsh","benthic ecosystem","biodiversity","ecological abundance","mud flat","Macona balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsOther":["macrofauna","season","spatial scale","species","intertidal zone","sediment","salt marsh","benthic ecosystem","biodiversity","ecological abundance","mud flat","Macona balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).\n\n3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon) and stored in vials containing 70 percent IMS. The individual numbers of each taxa were counted to give abundance data. This was determined by the presence of a head in cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots and their presence noted as YES/NO for abundance). The data were then multiplied by 127.323955 and rounded to the nearest whole individual to give results in metre squared.","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-09-15T08:39:35.000Z","organisation":["University of Southampton","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5317679-449f-4829-9caf-39973fe27c07","10.5285/d5317679-449f-4829-9caf-39973fe27c07","doi:10.5285/d5317679-449f-4829-9caf-39973fe27c07"],"resourceType":"Dataset","rightsHolder":["University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details macrofaunal abundance across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal abundance in mudflat and saltmarsh habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex"],"authorFamilyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"authorFullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"authorGivenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","M.","I.P."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measurements of bulk density, carbon and nitrogen content in soil profiles from permafrost in subarctic Canada. Soil cores were sampled during early summer in 2013 and 2014. Soil cores were sampled from a peatland plateau and thawing features of the peatland plateau, and from an unburnt and burnt black spruce forest, and additional sites in Yukon and Northwest Territories.","documentType":"GEMINI_DOCUMENT","familyName":["Estop-Aragones","Fisher","Cooper","Thierry","Treharne","Murton","Phoenix","Charman","Williams","Hartley"],"fullName":["Estop-Aragones, C.","Fisher, J.P.","Cooper, M.A.","Thierry, A.","Treharne, R.","Murton, J.B.","Phoenix, G.K.","Charman, D.J.","Williams, M.","Hartley, I.P."],"givenName":["C.","J.P.","M.A.","A.","R.","J.B.","G.K.","D.J.","M.","I.P."],"identifier":"efa2a84b-3505-4221-a7da-12af3cdc1952","incomingCitationCount":0,"keyword":["Canada","Bulk density","Carbon content","Nitrogen content","Peatland plateau","Thawing peatland","Burnt permafrost","permafrost ecosystem"],"keywordsOther":["Bulk density","Carbon content","Nitrogen content","Peatland plateau","Thawing peatland","Burnt permafrost","permafrost ecosystem"],"keywordsPlace":["Canada"],"licence":"Open government licence","lineage":"Soil cores were cut and samples were analysed for bulk density, carbon and nitrogen content. Samples were freeze dried and weighted to calculate bulk density. Values of bulk density are expressed in grams of dry soil per cm3 of wet soil. For carbon and nitrogen content, a ground sample was weighted and combusted in a C and N analyser. Standards were analysed in each run and a batch specific calibration was used to calculate the carbon and nitrogen content of the samples. Values of carbon and nitrogen content are expressed as percentage of dry soil mass.","locations":["POLYGON((-137 60, -137 64, -112 64, -112 60, -137 60))"],"metadataDate":"2026-09-15T08:45:45.000Z","organisation":["University of Exeter","University of Sheffield","University of Edinburgh","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/efa2a84b-3505-4221-a7da-12af3cdc1952","10.5285/efa2a84b-3505-4221-a7da-12af3cdc1952","doi:10.5285/efa2a84b-3505-4221-a7da-12af3cdc1952"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/05krs5044","https://ror.org/01nrxwf90","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measurements of bulk density, carbon and nitrogen content in soil profiles from permafrost in subarctic Canada. Soil cores were sampled during early summer in 2013 and 2014. Soil cores were sampled from a peatland plateau and thawing features…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Bulk density, carbon and nitrogen content in soil profiles from permafrost in subarctic Canada","version":1.0,"view":["public","kath"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Glasgow","Macaulay Land Use Research Institute"],"authorFamilyName":["Finlay","Black","Brown","Clarke","Esteban","Hindle","Olmo","Rollett","Vickerman","Buckland"],"authorFullName":["Finlay, B.J.","Black, H.I.J.","Brown, S.","Clarke, K.J.","Esteban, G.F.","Hindle, R.M.","Olmo, J.L.","Rollett, A.","Vickerman, K.","Buckland, S."],"authorGivenName":["B.J.","H.I.J.","S.","K.J.","G.F.","R.M.","J.L.","A.","K."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data describes protozoa abundance and diversity in samples taken at the Sourhope experimental site in 1999 and 2000 by the Centre for Ecology & Hydrology and the University of Glasgow.  Data were collected during a project funded under the NERC Soil Biodiversity Programme.\n\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Finlay","Black","Brown","Clarke","Esteban","Hindle","Olmo","Rollett","Vickerman","Buckland","Sier"],"fullName":["Finlay, B.J.","Black, H.I.J.","Brown, S.","Clarke, K.J.","Esteban, G.F.","Hindle, R.M.","Olmo, J.L.","Rollett, A.","Vickerman, K.","Buckland, S.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["B.J.","H.I.J.","S.","K.J.","G.F.","R.M.","J.L.","A.","K.","Andy"],"identifier":"a5737c31-5c8d-43f3-980a-4736510d6b05","incomingCitationCount":0,"keyword":["Sourhope","Scottish borders","Soil","Biodiversity","protozoan"],"keywordsOther":["protozoan"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed at CEH Windermere according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.237 55.468, -2.237 55.475, -2.222 55.475, -2.222 55.468, -2.237 55.468))"],"metadataDate":"2026-07-25T13:18:28.000Z","organisation":["Centre for Ecology & Hydrology","University of Glasgow","Macaulay Land Use Research Institute","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5737c31-5c8d-43f3-980a-4736510d6b05","10.5285/a5737c31-5c8d-43f3-980a-4736510d6b05","doi:10.5285/a5737c31-5c8d-43f3-980a-4736510d6b05"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data describes protozoa abundance and diversity in samples taken at the Sourhope experimental site in 1999 and 2000 by the Centre for Ecology & Hydrology and the University of Glasgow.  Data were collected during a project funded under the NERC Soil Biodiversity…","state":"published","supplementalDescription":["Finlay, B.J., Black, H.I.J., Brown, S., Clarke, K.J., Esteban, G.F., Hindle, R.M., … Vickerman, K. (2000). Estimating the Growth Potential of the Soil Protozoan Community. Protist, 151(1), ","Usher, M. B., Sier, A.R.J., Hornung, M., & Millard, P. (2006). Understanding biological diversity in soil: The UK’s Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), 101–113.","Website for the NERC Soil Biodiversity Programme "],"supplementalName":["Soil Biodiversity website "],"temporalExtentText":"Data collected from 1999 to 2000","title":"Soil protozoa data from Sourhope field experiment site, Scotland [NERC Soil Biodiversity Programme]","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites. The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) collate the data and the UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"7e4ad816-0b9e-42f2-8b6f-a0e10442a1d3","incomingCitationCount":0,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","lepidopteran","butterfly"],"keywordsOther":["lepidopteran","butterfly"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:58:29.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-09-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e4ad816-0b9e-42f2-8b6f-a0e10442a1d3","10.5285/7e4ad816-0b9e-42f2-8b6f-a0e10442a1d3","doi:10.5285/7e4ad816-0b9e-42f2-8b6f-a0e10442a1d3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored.…","state":"published","supplementalDescription":["This web page provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites."],"temporalExtentText":"Data collected from 1976 to 2014","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2014","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Oxford","University of Groningen"],"authorFamilyName":["Erezyilmaz","Doubovetzky","Billeter","Goodwin"],"authorFullName":["Erezyilmaz, D.","Doubovetzky, N.","Billeter, J.C.","Goodwin, S.F."],"authorGivenName":["D.","N.","J.C.","S.F."],"authorOrcid":["0000-0001-8416-8561","0000-0001-6219-3125","0000-0001-7796-4068","0000-0002-0552-4140"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides measurements of the cuticular pheromone, 7,11-heptacosadiene of individual female vinegar flies. The purpose of the dataset is to compare the levels between two sibling species, Drosophila simulans and Drosophila sechellia. Single female virgins were isolated from males at eclosion, aged five days, and then washed in hexane to extract cuticular hydrocarbons. The extracts were analyzed by gas chromatography relative to an internal standard. ","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Doubovetzky","Billeter","Goodwin"],"fullName":["Erezyilmaz, D.","Doubovetzky, N.","Billeter, J.C.","Goodwin, S.F."],"funder":["Natural Environment Research Council"],"givenName":["D.","N.","J.C.","S.F."],"grant":["NE/S010351/1"],"identifier":"7abe787a-4561-4715-8b49-983faa4c0787","incomingCitationCount":0,"keyword":["Cuticular hydrocarbons","contact pheromone","long-chain fatty acids","Drosophila courtship","gas chromatography"],"keywordsOther":["Cuticular hydrocarbons","contact pheromone","long-chain fatty acids","Drosophila courtship","gas chromatography"],"licence":"Open government licence","lineage":"Drosophila females that were five days old were anaesthetised on ice for ten minutes. Individual female flies were then transferred to 150uL pure HPLC grade hexane within a 200uL glass vial that was fitted with a glass insert. The vial with the fly inside was vortexed to extract the hydrocarbons. Afterwards the fly was removed, the hexane extract was dried down under a gentle flow of nitrogen, and the vial was shipped to Groningen for gas chromatograph analysis. The retention time in minutes of each peak relative to an internal standard (C26), was used to measure size and identify 7,11-heptacosadiene. The area underneath each peak, relative to the standard was used to measure the quantity of 7,11-heptacosadiene. ChemStation software (Agilent technologies) was used to estimate area under the peak. ","metadataDate":"2026-07-25T06:56:22.000Z","orcid":["0000-0001-8416-8561","0000-0001-6219-3125","0000-0001-7796-4068","0000-0002-0552-4140"],"organisation":["University of Oxford","University of Groningen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7abe787a-4561-4715-8b49-983faa4c0787","10.5285/7abe787a-4561-4715-8b49-983faa4c0787","doi:10.5285/7abe787a-4561-4715-8b49-983faa4c0787"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides measurements of the cuticular pheromone, 7,11-heptacosadiene of individual female vinegar flies. The purpose of the dataset is to compare the levels between two sibling species, Drosophila simulans and Drosophila sechellia. Single female virgins…","state":"published","title":"Levels of the pheromone 7,11-heptacosadiene in the sibling species Drosophila simulans and Drosophila sechellia","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Sustainable Pest and Disease Management, Biological Chemistry Department, Rothamsted Research"],"authorFamilyName":["Pickett"],"authorFullName":["John A. Pickett"],"authorGivenName":["John A."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The semiochemical experiment data were collected from novel laboratory, semi-field- and field-scale bioassay experiments taking behavioural observations and counts of pest insects and their natural enemies in the field. Crop yields were taken. Chemical analyses were also done using air entrainment. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Despite the widespread concerns regarding the use of pesticides in food production and the availability of potentially viable biological pest control strategies in Integrated Pest Management (IPM) systems, the UK cereal crop production remains a bastion of pesticide use. This project aimed to understand further the reasons for this lack of adoption, using the control of summer cereal aphids as a case study. Reasons for this lack of adoption of biocontrol remain a complex interplay of both technical and economic problems. Economists highlight the potential path dependency of an industry to continue to employ a suboptimal technology, caused by past dynamics of adoption resulting in differential private cost structures of each technique. Further, risk aversion on the part of farmers regarding the perceived efficacy of a new technology may also limit up-take. This may be particularly important when IPM rests on portfolios of technologies and when little scientific understanding exists on the effect of portfolio and scale of adoption on overall efficacy. Faced with this, farmers will not adopt a socially superior IPM technology and there exists a clear need for public policy action. This action may take the form of minimising uncertainty through carefully designed research programs, government funding and dissemination of the results of large-scale research studies or direct public support for farm landscape and farm system changes that can promote biocontrol. This research looked at alternatives to the use of insecticides in arable agriculture and the difficulties facing producers in switching over to them. Two approaches were explored: habitat manipulations, to encourage predators and parasites, and using naturally occurring odours to manipulate predator distribution as model technologies. Scale and portfolio effects on biocontrol efficacy have been investigated in controlled and field scale experiments. Aim is to improve the way research and development of new products and techniques are carried out to help break the dependence on chemical pesticides. Conservation biological control experiments data investigating the effect of wild field margins on pests and predators, from this same research project, are also available. In addition, socio-economic research has been used to help direct natural science research into the development and evaluation of a combination of habitat management and semiochemical push-pull strategies of appropriate scale and complementarity to yield viable, commercially attractive and sustainable alternatives to the use of insecticides in cereal crop agriculture. These socio-economic data are available through the UK Data Archive under study number 6960 (see Supplemental). Further information and documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Bailey","Pickett"],"fullName":["Bailey, A.","Pickett, J.A.","John A. Pickett","Pickett, J."],"funder":["Economic and Social Research Council"],"givenName":["Alastair","John A.","John"],"grant":["RES-224-25-0093"],"identifier":"0ba3a95d-f384-44cd-bc49-481618557ebd","incomingCitationCount":0,"keyword":["United Kingdom","Rural Economy and Land Use Programme","Re-Bugging the System: Promoting Adoption of Alternative Pest Management Strategies in Field Crop Systems","age","agricultural land","agronomy","cereals","cropping systems","crops","environmental conservation","environmental degradation","environmental issues","environmental management","farmers","farms","gender","grain crops","insecticides","land tenure","organic farming","pest control","pesticides","pests","weeds"],"keywordsOther":["age","agricultural land","agronomy","cereals","cropping systems","crops","environmental conservation","environmental degradation","environmental issues","environmental management","farmers","farms","gender","grain crops","insecticides","land tenure","organic farming","pest control","pesticides","pests","weeds"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Rural Economy and Land Use Programme","Re-Bugging the System: Promoting Adoption of Alternative Pest Management Strategies in Field Crop Systems"],"licence":"Non-Open government licence","lineage":"Using the natural plant activator cis-jasmone as a model, studies aimed to: - develop effective formulations for field use - determine the response of natural enemies to treated plants - identify suitable crop varieties - investigate effects on pest populations in the field at increasing scales The data were collected from novel laboratory, semi-field- and field-scale bioassay experiments taking behavioural observations and counts of pest insects and their natural enemies in the field. Crop yields were taken. Chemical analyses were also done using air entrainment. Full details of the experiments and the data collection methodologies used can be found in the user guide, which is included in the data download package.  Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-224-25-0093","locations":["POLYGON((-8.655 49.9, -8.655 60.85, 1.79 60.85, 1.79 49.9, -8.655 49.9))"],"metadataDate":"2026-09-15T08:41:40.000Z","organisation":["University of Kent","Centre for Sustainable Pest and Disease Management, Biological Chemistry Department, Rothamsted Research","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1374854891838","CEH:EIDC::1374854891838","https://catalogue.ceh.ac.uk/id/0ba3a95d-f384-44cd-bc49-481618557ebd"],"resourceType":"Dataset","ror":["https://ror.org/00xkeyj56","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The semiochemical experiment data were collected from novel laboratory, semi-field- and field-scale bioassay experiments taking behavioural observations and counts of pest insects and their natural enemies in the field. Crop yields were taken. Chemical analyses were…","state":"published","supplementalDescription":["Project information, outputs and publications for this research project."],"supplementalName":["RELU Knowledge Portal","Catalogue record for the socio-economic data from this research project"],"temporalExtentText":"Data collected from 2005 to 2009","title":"Semiochemical experiment data, 2005-2009 - RELU Re-bugging the system: promoting adoption of alternative pest management strategies in field crop systems","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["D.","A.","J.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly intervals and intermittently during periods of high flows. All sites were samples from early 1994 to the end of 1996 except for O12, which was sampled from November 1994 till November 1996. The sampling was carried out by the LOIS team at York University. The unfiltered samples were transported to the Institute of Terrestrial Ecology, Monks Wood, UK, where they were extracted with hexane, cleaned up by alumina column chromatography, concentrated and then analysed for CBs by Gas Chromatography-Mass Spectrometry (GC-MS) and PCBs and OCs by Gas Chromatography with Electron Capture Detection (GC-ECD).","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore","Fry"],"fullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R.","Fry, M."],"givenName":["D.","A.","J.","N.","I.","R.","Matt"],"identifier":"40ba6fd0-3d41-4520-8d78-cc8c893fd974","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsOther":["water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"licence":"Open government licence","lineage":"Prior to analysis the samples were stored in the dark at 4 degreesC. The sample (500ml) was transferred to a volumetric flask and extracted with 5 x 10ml aliquots of hexane. The hexane extract was transferred to a to a Kuderna-danish flask via a funnel containing anhydrous sodium sulphate and reduced to approx. 1.5ml at 80 degreesC. The extract was adjusted to exactly 1.0ml under a stream of nitrogen. The whole of the reduced extract was cleaned up on a glass column containing 0.8g of alumina deactivated with 5% water. The cleaned up extract was then reduced to 0.5ml under a stream of nitrogen. An internal standard was added (Dichlobenyl) and each extract split equally into two chromatography vials. Chlorobenzenes were analysed by GC-MS in select ion mode. Organochlorine pesticides and PCB congeners were analysed by GC-ECD. A spiked recovery and a sample blank were included with each batch of samples. The results were not corrected for recovery losses. Limits of detection were defined as the concentration of analyte that gives a signal twice that of the baseline noise. Blank sample bottles were taken into the field during sample collection and opened and closed on site. The blank bottles were extracted with 5 x 10ml of hexane and the hexane extracts analysed by the procedure used for the samples. Spiked recovery samples (hexane washed HPLC grade water, containing 0.5g of clean clay particles, spiked with all the analytes) were included in each batch. OCs and PCBs were identified by relative retention time. CBs were identified by relative retention time and ion ratios (3 ions). Calibration was by the internal standard method. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-09-15T08:45:20.000Z","organisation":["University of York","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373030045461","CEH:EIDC::1373030045461","https://catalogue.ceh.ac.uk/id/40ba6fd0-3d41-4520-8d78-cc8c893fd974","10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974","doi:10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly…","state":"published","temporalExtentText":"Data collected from 1993 to 1997","title":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from rivers [LOIS]","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bentley","Brentegani","Tandy","Ebuele","Deacon","Fitos","Patton","Garbutt","Williams","Wood","Lebron","Robinson","Smart","Maskell","Keith","O'Neil","Henrys","Andrews","Campbell","Doyle","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Vallis-Wilks","Wagner"],"authorFullName":["Bentley, L.","Brentegani, M.","Tandy, S.","Ebuele, V.","Deacon, A.","Fitos, E.","Patton, J.","Garbutt, A.","Williams, G.","Wood, C.","Lebron, I.","Robinson, D.","Smart, S.","Maskell, L.","Keith, A.","O'Neil, A.","Henrys, P.","Andrews, C.","Campbell, K.","Doyle, S.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Vallis-Wilks, M.","Wagner, M."],"authorGivenName":["L.","M.","S.","V.","A.","E","J.","A","G.","C.","I.","D.","L","P.","K.","D.W."],"authorOrcid":["0000-0001-5055-7673","0000-0002-9145-9786","0000-0002-0394-2998","0000-0001-8610-9717","0000-0003-2750-7832","0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024 is the first year of a new monitoring cycle. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (soil organic carbon, 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. These samples are co-located with a botanical survey as part of the integrated monitoring approach, which is also available on the EIDC. \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.  Previous monitoring cycles have been carried out in 1978, 1984, 1990, 1998, 2007and 2019-2023 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares each monitoring cycle. 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 and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Brentegani","Tandy","Ebuele","Deacon","Fitos","Patton","Garbutt","Williams","Wood","Lebron","Robinson","Smart","Maskell","Keith","O'Neil","Henrys","Andrews","Campbell","Doyle","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Vallis-Wilks","Wagner"],"fullName":["Bentley, L.","Brentegani, M.","Tandy, S.","Ebuele, V.","Deacon, A.","Fitos, E.","Patton, J.","Garbutt, A.","Williams, G.","Wood, C.","Lebron, I.","Robinson, D.","Smart, S.","Maskell, L.","Keith, A.","O'Neil, A.","Henrys, P.","Andrews, C.","Campbell, K.","Doyle, S.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Vallis-Wilks, M.","Wagner, M."],"funder":["Natural Environment Research Council"],"givenName":["L.","M.","S.","V.","A.","E","J.","A","G.","C.","I.","D.","L","P.","K.","D.W."],"grant":["NE/Y006208/1"],"identifier":"cab9f36c-075e-4359-8781-24a8488641c3","incomingCitationCount":0,"keyword":["Great Britain","Soil","Environmental survey","bulk density","carbon stock","monitoring","national monitoring","nitrogen","nutrient","pH","soil","soil condition","soil quality"],"keywordsOther":["bulk density","carbon stock","monitoring","national monitoring","nitrogen","nutrient","pH","soil","soil condition","soil quality"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Within each of 105 x 1km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). In addition and where practically possible (and for the first time in the Countryside Survey), up to three additional soil samples were taken per 1km square, associated with linear features in proximity to one of the randomly dispersed sampling locations. These linear feature soil samples were taken from a plot associated with a hedgerow, a streamside and a boundary (maximum of one sample per plot type per square).  The soil samples analysed for soil metrics were taken using a 15 cm long soil core, 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\nTwo additional 15cm soil cores were taken from each randomly dispersed plot and stored in the UKCEH soil bank, available for further use, along with any remaining material from soil cores used in analysis. \n\nFor additional information, see the attached meta-data.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-25T09:11:35.000Z","orcid":["0000-0001-5055-7673","0000-0002-9145-9786","0000-0002-0394-2998","0000-0001-8610-9717","0000-0003-2750-7832","0000-0003-4006-7755"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cab9f36c-075e-4359-8781-24a8488641c3","10.5285/cab9f36c-075e-4359-8781-24a8488641c3","doi:10.5285/cab9f36c-075e-4359-8781-24a8488641c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2024","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","Unaffiliated"],"authorFamilyName":["Beresford","Gaschak","Barnett","Maksimenko","Guliaichenko","Wells","Chaplow"],"authorFullName":["Beresford, N.A.","Gaschak, S.","Barnett, C.L.","Maksimenko, A.","Guliaichenko, E.","Wells, C.","Chaplow, J.S."],"authorGivenName":["N.A.","S.","C.L.","A.","E.","C.","J.S."],"authorOrcid":["0000-0002-8722-0238","0000-0002-8058-8697"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radionuclide activity concentrations, stable element concentrations and both radionuclide and stable element concentration ratios for vegetation and wildlife samples collected in the Chernobyl Exclusion Zone (CEZ) in 2014.  Estimated absorbed dose rates for wildlife in the CEZ are also presented.\n\nSamples of soil, wild grass, earthworms, bees and other insects, small mammals, pine trees and frogs were collected in May and June 2014; frogspawn was collected in April 2015. Data were used to assess the uptake of radionuclides by wildlife living in the Chernobyl Exclusion Zone (CEZ) and also absorbed dose rates.\n\nThe isotopes measured were: Americium-241, Caesium-137, Plutonium-238, -239 and -240, Strontium-90 (K-40 and U-238 activity concentrations were estimated from stable element data).\n\nFunding for this work was via the TREE project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Gaschak","Barnett","Maksimenko","Guliaichenko","Wells","Chaplow"],"fullName":["Beresford, N.A.","Gaschak, S.","Barnett, C.L.","Maksimenko, A.","Guliaichenko, E.","Wells, C.","Chaplow, J.S."],"givenName":["N.A.","S.","C.L.","A.","E.","C.","J.S."],"identifier":"ae02f4e8-9486-4b47-93ef-e49dd9ddecd4","incomingCitationCount":4,"keyword":["Chernobyl exclusion zone (CEZ)","Ukraine","Chornobyl","TRansfer - Exposure – Effects (TREE)","Radioactivity And The Environment (RATE)","Environmental survey","Soil","Pollution","Radioecology","ICRP","Reference animals and plant","americium","stable element","plutonium","strontium","caesium"],"keywordsOther":["ICRP","Reference animals and plant","americium","stable element","plutonium","strontium","caesium"],"keywordsPlace":["Chernobyl exclusion zone (CEZ)","Ukraine","Chornobyl"],"keywordsProject":["TRansfer - Exposure – Effects (TREE)","Radioactivity And The Environment (RATE)"],"keywordsTheme":["Environmental survey","Soil","Pollution","Radioecology"],"licence":"Open government licence","lineage":"The sampling site (0.4 km2) was located towards the western edge of the Red Forest, approximately 5 km west-southwest of the Chernobyl Unit Number 4).  The site was not within the area where pine trees were killed by high exposure levels in 1986. Most of the site was formerly used as kitchen gardens ('dacha') by the residents of Pripyat. With the exception of Pinus sylvestris, all samples were collected from an area of the former kitchen gardens with a number of fruit trees which was about 0.06 km2 in area; this is subsequently referred to as the 'inner sampling area'. The predominant soil type of the sampling site was soddy-podzolic sandy loam and the surrounding habitats were largely deciduous woodland (some of which was previously agricultural land) and marsh.\n All samples were collected over a period of about 1 month in May/June 2014. Although sampling was focussed on species falling into the ICRP RAP definitions (after Barnett et al. 2014), additional species caught were analysed for 90Sr and 137Cs activity concentrations. \n\nSample types include wild grass, pine tree, earthworm, bee and other insects, small mammals (mice, vole, doormouse, shrew), amphibians and soil.","locations":["POLYGON((22.129 44.39, 22.129 52.376, 40.218 52.376, 40.218 44.39, 22.129 44.39))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0002-8722-0238","0000-0002-8058-8697"],"organisation":["Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","Unaffiliated","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-02-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae02f4e8-9486-4b47-93ef-e49dd9ddecd4","10.5285/ae02f4e8-9486-4b47-93ef-e49dd9ddecd4","doi:10.5285/ae02f4e8-9486-4b47-93ef-e49dd9ddecd4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radionuclide activity concentrations, stable element concentrations and both radionuclide and stable element concentration ratios for vegetation and wildlife samples collected in the Chernobyl Exclusion Zone (CEZ) in 2014.  Estimated absorbed dose rates…","state":"published","supplementalDescription":["TRansfer - Exposure - Effects (TREE)","Radioactivity & the Environment (RATE) "],"supplementalName":["TREE project website","RATE programme weblink"],"temporalExtentText":"Data collected from 2005 to 2015","title":"A 'Reference Site' in the Chernobyl Exclusion Zone: radionuclide and stable element data, and estimated dose rates","topic":["0/Environmental survey/","0/Soil/","0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","phtr","jgar"]},{"authorAffiliation":["University of Agriculture Faisalabad","National Agricultural Research Center Islamabad","UK Centre for Ecology & Hydrology","University of Aberdeen","Rothamsted Research","John Innes Centre"],"authorFamilyName":["Iqbal","Bano","Kiran","Naeem","Khan","Wakeel","Sajjad","Aziz","Sutton","Price","Prins","Shewry","Alabdullah","Maqsood"],"authorFullName":["Iqbal, R.","Bano, Z.","Kiran, A.","Naeem, M.K.","Khan, M.R.","Wakeel, A.","Sajjad, H.","Aziz, T.","Sutton, M.","Price, A.","Prins, A.","Shewry, P.","Alabdullah, A.K.","Maqsood, M.A."],"authorGivenName":["Rubab","Zunaira","Aysha","Muhammad Kashif","Muhammad Ramzan","Abdul","Hassan","Tariq","Mark","Adam","Anneke","Peter","Abdul Kader","Muhammad Aamer"],"authorRor":["https://ror.org/054d77k59","https://ror.org/00pggkr55","https://ror.org/016476m91","https://ror.org/0347fy350","https://ror.org/055zmrh94"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains single nucleotide polymorphism (SNP) genotyping data for 323 diverse wheat accessions from Pakistan, Mexico, and Australia. DNA was extracted from 21-day-old seedlings grown in a glasshouse at Rothamsted Research, UK, and genotyped using the commercially available TaNG v1.1 Affymetrix Axiom array at the Bristol Genomics Facility, University of Bristol. The genotypic data are provided in HapMap double-bit format.\n\nThis work aimed to improve nitrogen use efficiency (NUE) in wheat as part of efforts toward sustainable yield enhancement and global food security. Genetic dissection of key agronomic traits presents a viable strategy for developing high-yielding, nitrogen-efficient wheat cultivars. The data support a genome-wide association study (GWAS) that related NUE traits to potential genetic markers. The research was funded by the Natural Environment Research Council (Grant NE/S009019/1).","documentType":"GEMINI_DOCUMENT","familyName":["Iqbal","Bano","Kiran","Naeem","Khan","Wakeel","Sajjad","Aziz","Sutton","Price","Prins","Shewry","Alabdullah","Maqsood"],"fullName":["Iqbal, R.","Bano, Z.","Kiran, A.","Naeem, M.K.","Khan, M.R.","Wakeel, A.","Sajjad, H.","Aziz, T.","Sutton, M.","Price, A.","Prins, A.","Shewry, P.","Alabdullah, A.K.","Maqsood, M.A."],"funder":["Natural Environment Research Council"],"givenName":["Rubab","Zunaira","Aysha","Muhammad Kashif","Muhammad Ramzan","Abdul","Hassan","Tariq","Mark","Adam","Anneke","Peter","Abdul Kader","Muhammad Aamer","A."],"grant":["NE/S009019/1"],"identifier":"291ca8d7-6178-4e6f-98a5-f59225d884cd","incomingCitationCount":0,"keyword":["Agriculture","nitrogenous fertiliser","nitrogen use efficiency","Pakistan"],"keywordsOther":["nitrogenous fertiliser","nitrogen use efficiency","Pakistan"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"DNA was extracted from 21 day old seedlings using the Wizard Genomic DNA Purification Kit (Promega, UK). Quantity and quality was checked using an ND-1000 spectrophotometer (Thermo Fisher Scientific, USA) and a Qubit 2.0 fluorometer using a Qubit dsDNA quantification kit (Invitrogen, UK).  The quality thresholds were as follows: an  OD260/OD280 ratio of between 1.8 and 2.0 and a OD260/OD230 ratio greater than 1.5. High-throughput SNP genotyping of 323 genotypes was performed using the TaNG v1.1 Affymetrix Axiom genotyping array (Thermo Fisher Scientific, UK) at the University of Bristol Genomics facility, University of Bristol, UK. Genotype calling was performed using the Best Practices Workflow in the Axiom Analysis Suite (AxAS) following the default SNP quality control thresholds where DCQ (dish quality control) ≥ 0.82 and CR (call rate) cut-off ≥ 97%. Markers were then classified and filtered based on the Axiom recommended criteria. Subsequently, markers that were monomorphic, had a minor allele frequency (MAF) of <5%, a missing call rate of >20%, or a heterozygote frequency >25% were removed. After filtering, a total of 6,315 best recommended and high-quality markers were retained and were used to generate the HapMap-formatted data.","locations":["POLYGON((-0.382 51.804, -0.382 51.815, -0.359 51.815, -0.359 51.804, -0.382 51.804))"],"metadataDate":"2026-07-24T19:29:25.000Z","organisation":["University of Agriculture Faisalabad","National Agricultural Research Center Islamabad","UK Centre for Ecology & Hydrology","University of Aberdeen","Rothamsted Research","John Innes Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/291ca8d7-6178-4e6f-98a5-f59225d884cd","10.5285/291ca8d7-6178-4e6f-98a5-f59225d884cd","doi:10.5285/291ca8d7-6178-4e6f-98a5-f59225d884cd"],"resourceType":"Dataset","rightsHolder":["University of Agriculture Faisalabad"],"ror":["https://ror.org/054d77k59","https://ror.org/00pggkr55","https://ror.org/016476m91","https://ror.org/0347fy350","https://ror.org/055zmrh94","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains single nucleotide polymorphism (SNP) genotyping data for 323 diverse wheat accessions from Pakistan, Mexico, and Australia. DNA was extracted from 21-day-old seedlings grown in a glasshouse at Rothamsted Research, UK, and genotyped using the commercially…","state":"published","title":"Single nucleotide polymorphism genotyping of 323 wheat accessions from Pakistan, Mexico and Australia","topic":["0/Agriculture/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset entails two components: 1) an agricultural soil survey on fields covered with plastic mulch film to determine drivers of microplastic enrichment and identify microplastic types in China, Egypt, India, Sri Lanka, and Vietnam; 2) an inter-laboratory comparison of microplastic quantification and identification across Australia, China, Egypt, India, Sri Lanka, UK, and Vietnam. The data was generated from 2022 to 2025. We recorded the following data:\nPart 1 - Soil Survey\n-\tSite specific metadata on plastic use and farm practices\n-\tEnvironmental data (precipitation, temperature)\n-\tSoil data (pH, EC, nutrients, classification, texture)\n-\tMicroplastic quantification\n-\tMicroplastic identification\n-\tMetadata for each participating laboratory\nPart 2 - Inter-laboratory standard comparison\n-\tMetadata for each participating laboratory\n-\tPolymer identification of known polymer standards\n-\tMicroplastic recovery rates of known reference standard mediums","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Martine","David R","Davey L","M."],"grant":["NE/V005871/1"],"identifier":"c0407da7-acd0-4f5f-a1f3-5516206ba787","incomingCitationCount":0,"keyword":["Agriculture","Environmental survey","Soil","agricultural plastic","microplastic","mulch","plastic","polymer","survey"],"keywordsOther":["agricultural plastic","microplastic","mulch","plastic","polymer","survey"],"keywordsTheme":["Agriculture","Environmental survey","Soil"],"licence":"Open government licence","lineage":"Part 1 - Soil Survey:\n-\tpH and electrical conductivity: Soil samples (n=1) were analysed in a 1:2.5 soil:distilled water solution using standard electrodes. Data recorded in paper notebook, then transferred to Excel file. Excel file exported as csv file.\n\n-\tNutrients (ammonium, nitrate, DOC, phosphate): Soil samples (n=1) were analysed in a 1:5 soil:0.5 M K2SO4 solution (ammonium, nitrate, DOC) using colorimetric analysis for ammonium and nitrate, and a TOC analyser for DOC. Soil samples were analysed in a 1:5 soil:0.5M acetic acid or 0.5M sodium bicarbonate solution (phosphate) using colorimetric analysis. Data was exported as Excel files from respective instruments, then exported as csv file.\n-\tMicroplastic quantification: Microplastics were extracted from soil samples in each country following a standardised protocol[2]. Briefly, soil samples were dried at 40 °C for min. 24 h, larger aggregates were broken up, and plant material was removed before weighing out 5 ± 0.05 g of dry soil into a clean glass beaker. For density separation, 230 ml saturated NaCl (density 1.2 g cm-3) were added to the beaker, the solution was homogenised for 30 min using a magnetic stirring plate, and left to stand overnight. Following this, the supernatant was decanted into a new glass beaker, and 4 M NaOH was added to a fixed volume of 500 ml, after which the solution was homogenised and left to stand overnight to facilitate digestion of biologically-derived organic material. The supernatant was then decanted into a new glass beaker and 250 µl of Nile Red solution added, homogenised, and incubated in the dark at room temperature for 30 min before vacuum filtration onto a suitable membrane. Membranes were stored in glass petri dishes covered in aluminium foil and analysed within 24 h. Particle quantification on membranes was carried out using fluorescent microscopy within each country. Between 5 - 100 % of the membrane area were analysed, depending on country, and resulting images were processed using ImageJ (v. 1.54f). Briefly, a Macro was customised for each country, scaling images accordingly, applying a suitable colour threshold with the default thresholding method, adjusting the brightness level to a suitable setting (according to the average best fit of 10 randomly selected images), and exporting particles' Feret's diameter. Data was filtered to only include particles with Feret's diameter of 20 - 500 µm, and scaled to an equivalent particle number of 100% membrane area (= 5 g dry soil). Total particle number was then divided by 5 to express particles g-1 dry soil.\n\n-\tMicroplastic identification: Complimentary to the particle quantification, fluorescent particles (i.e. suspected MPs) were also analysed using IR spectroscopy within each country. Particle spectra were matched against instrument-specific or open-source libraries with an average match quality for polymers of 40.6% (China), 80.8% (Egypt), 70.6% (India), 85.7% (Vietnam), and 84.7% (Sri Lanka). China, Egypt, India, and Vietnam manually selected individual particles for analysis, resulting in an average of 10 particles analysed across these countries due to resource constraints and instrument availability. Data for China are only available for 0 - 10 cm depth. Sri Lankan samples were analysed in the UK, utilising an automated analysis of particles per subsample (analysing approx. 1% of total sample volume). A match quality threshold of ≥ 80% was applied to the Sri Lankan dataset only, according to manufacturer's guidance. Due to no clear manufacturers' instructions and the already low manual particle count per sample in the other countries, no match quality threshold was applied.\n\n-\tEnvironmental data: Precipitation and air temperature data was sourced from the nearest weather station for each location.\n\n-\tFarm metadata: Data regarding farm practices was collected directly from participating farmers, written on paper, entered into an Excel file, exported as a csv file.\nPart 2 - Inter-laboratory standard comparison\n-\tMicroplastic quantification: The standards consisted of three matrices: silicon dioxide (SD; quartz sand), bentonite clay (BT), and country-representative soil; all with and without 0.04% (w/w) polyethylene (PE; 34-50 μm particle size). SD and BT were selected to represent two commonly found soil textures (sand, clay), and soil was selected representative of each country's prevalent soil types. The soil was collected by each laboratory and spiked with PE (provided by UK) to 0.04% (w/w). The UK also determined the number of PE particles in the mass required to achieve the 0.04% (w/w) concentration in 5 g matrix to estimate the average particle number per sample and therefore estimate maximum particle number recoverable. All standards were analysed in triplicates alongside blanks (no matrix, only reagents), following a standardised extraction and analysis protocol [2]. The same methodology was applied as described above.\n-\tMicroplastic identification: The standards consisted of 9 individual polymer types (PET, PP, PTFE, PU, PC, PE, PS, PA, PVC) with different size ranges (Table 9). Each country identified 10 randomly selected particles per standard. The analysis was carried out blind, i.e. participating countries (apart from UK) were unaware of what polymer types were included in each standard vial. Sri Lanka had no capability to analyse polymer standards via IR spectroscopy and was therefore excluded from this analysis. India was unable to analyse 'standard 3' (PTFE) due to sample loss. In addition to individual standards, each laboratory received a homogenised polymer mixture containing the same nine polymers in known weight proportions (Table 10). Each laboratory analysed three replicates of the mixed polymer standard, selecting 50 random particles per replicate. India was unable to analyse Mix 1 and 2 due to sample loss, therefore only Mix 3 is included.","locations":["POLYGON((24.7 5.92, 24.7 23.39, 134.77 23.39, 134.77 5.92, 24.7 5.92))"],"metadataDate":"2026-09-02T11:43:09.000Z","orcid":["0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c0407da7-acd0-4f5f-a1f3-5516206ba787","10.5285/c0407da7-acd0-4f5f-a1f3-5516206ba787","doi:10.5285/c0407da7-acd0-4f5f-a1f3-5516206ba787"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset entails two components: 1) an agricultural soil survey on fields covered with plastic mulch film to determine drivers of microplastic enrichment and identify microplastic types in China, Egypt, India, Sri Lanka, and Vietnam; 2) an inter-laboratory comparison…","state":"published","temporalExtentText":"Data collected from 2022 to 2025","title":"Agricultural soil survey and inter-laboratory comparison of microplastics across China, Egypt, India, Sri Lanka, and Vietnam, 2022-2025","topic":["0/Agriculture/","0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Oxford","Centre for Ecology & Hydrology"],"authorFamilyName":["Wanelik","Harris","Wanless"],"authorFullName":["Wanelik, K.M.","Harris, M.P.","Wanless, S."],"authorGivenName":["K.M.","M.P.","S."],"authorRor":["https://ror.org/052gg0110","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains data on the spatial attendance patterns of immature common guillemots (Uria aalge) at four sites in a large breeding colony. Data were collected from 25th April-12th May and 21st May-15th June 2013 at four sites on the Isle of May, Scotland. A grid was superimposed onto a photograph of each site. Grid cells were then classified as breeding or pre-breeding areas according to the presence or absence of breeding activity at any point during data collection (i.e. an egg or chick). A total of 69 randomly selected and individually-marked birds were followed using a telescope for 10 minute periods and their location in these grids was recorded every 15 seconds. This work was part of a NERC-funded PhD project looking at interactions between avian colonial social structure and tick-borne pathogen dynamics. ","documentType":"GEMINI_DOCUMENT","familyName":["Wanelik","Harris","Wanless"],"fullName":["Wanelik, K.M.","Harris, M.P.","Wanless, S."],"givenName":["K.M.","M.P.","S."],"identifier":"dbd72bb5-4ad5-4d2f-b546-1cea672f76e8","incomingCitationCount":1,"keyword":["Isle of May","UK","Scotland","Environmental survey","common guillemot","Uria aalge"],"keywordsOther":["common guillemot","Uria aalge"],"keywordsPlace":["Isle of May","UK","Scotland"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"This dataset only presents the number of intervals that individuals spent in pre-breeding and breeding areas. Grid cells with ledges and no apparent evidence of breeding activity but consistent breeding activity completely surrounding them were also assumed to be breeding areas. Individual birds were identified using unique colour rings which were visible at a distance through a telescope with a x20-60 zoom lens. All data was collected by the same observer to ensure consistency.","locations":["POLYGON((-2.569 56.178, -2.569 56.194, -2.543 56.194, -2.543 56.178, -2.569 56.178))"],"metadataDate":"2026-07-25T14:23:24.000Z","organisation":["University of Oxford","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dbd72bb5-4ad5-4d2f-b546-1cea672f76e8","10.5285/dbd72bb5-4ad5-4d2f-b546-1cea672f76e8","doi:10.5285/dbd72bb5-4ad5-4d2f-b546-1cea672f76e8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/052gg0110","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains data on the spatial attendance patterns of immature common guillemots (Uria aalge) at four sites in a large breeding colony. Data were collected from 25th April-12th May and 21st May-15th June 2013 at four sites on the Isle of May, Scotland. A…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Spatial attendance data for immature common guillemots (Uria aalge) at four sites in a large breeding colony","topic":["0/Environmental survey/"],"version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}