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(2010). SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the generalised logistic distribution is 1961-2010. The dataset covers the period from 1961 to 2012. ","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Hannaford","Barker","Svensson","Kral","Fry"],"fullName":["Tanguy, M.","Hannaford, J.","Barker, L.","Svensson, C.","Kral, F.","Fry, M."],"givenName":["Maliko","M.","J.","L.","C.","F."],"identifier":"d201a2af-568e-4195-bf02-961fb6954c72","incomingCitationCount":2,"keyword":["Environmental risk","Modelling","SPEI","indicator","gridded data","rainfall extremes","climatic water balance","drought","rain","evapotranspiration","atmospheric precipitation"],"keywordsOther":["SPEI","indicator","gridded data","rainfall extremes","climatic water balance","drought","rain","evapotranspiration","atmospheric precipitation"],"keywordsTheme":["Environmental risk","Modelling"],"licence":"Non-Open government licence","lineage":"SPEI is calculated as originally defined in [1]. SPEI is based on the cumulative probability of a given Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - occurring at a location. The historic CWB data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the generalised logistic distribution, which is recommended by [1]. The Maximum Likelihood method was used to estimate the generalised logistic distribution parameters. To calculate SPEI, the R package SCI was used [4]. The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] ([4], [5]), and CHESS PET data ([6],[7]).\n\n[1] Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718.\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267\n[3] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[4] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[5] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112 https://doi.org/10.5194/essdd-8-83-2015.\n[6] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (in preparation), Trends in evaporative demand in Great Britain using high-resolution meteorological data\n[7] Robinson, E.L.; Blyth, E.; Clark, D.B.; Finch, J.; Rudd, A.C. (2015). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]. NERC Environmental Information Data Centre. https://doi.org/10.5285/d329f4d6-95ba-4134-b77a-a377e0755653","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2026-06-27T19:20:40.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310","https://orcid.org/0000-0002-2913-0664","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0003-1142-4039"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d201a2af-568e-4195-bf02-961fb6954c72","10.5285/d201a2af-568e-4195-bf02-961fb6954c72","doi:10.5285/d201a2af-568e-4195-bf02-961fb6954c72"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"1km and 5km gridded Standardised Precipitation-Evapotranspiration Index (SPEI) data for Great Britain, which is a drought index based on the probability of Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration…","state":"published","title":"Gridded Standardized Precipitation-Evapotranspiration Index (SPEI) using generalised logistic distribution with standard period 1961-2010 for Great Britain [SPEIgenlog61-10]","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Universidad Nacional de Tucumán & CONICET"," University of Aberdeen"],"authorFamilyName":["Powell","Russo","Rojas","Piggot Stewart","Ruiz de Huidobro","Burslem","Montti"],"authorFullName":["Powell, P.A.","Russo, M.C.","Rojas, T.N.","Piggot Stewart, A.G.","Ruiz de Huidobro, N.","Burslem, D.F.R.P.","Montti, L."],"authorGivenName":["Priscila Ana","M.C.","T.N.","A.G.","N.","D.F.R.P.","L."],"authorOrcid":["https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0001-5273-8830","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0003-0301-016X"],"authorRor":["https://ror.org/04chzd762","https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile"],"description":"The data resource consists of tree census data and shapefiles about plots established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. An experiment was conducted to investigate management control of the invasion of nonnative species Ligustrum to restore native tree diversity from June 2020 to November 2023. \n\nThe data includes the census of 6 plots (240 metres by 140 metres, 3.36 hectares for each plot, the location specified in the shapefile), with arbitrary coordinates (x for the longest side and y for the shortest) to assess the location of each tree. For each tree stem,  a tagged ID was assigned and the species recorded, the presence of secondary stems, its perimeter at breast height, the number of small stems, the number of death stems, stem shape and stem fusion.\n\nThe work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management","documentType":"GEMINI_DOCUMENT","familyName":["Powell","Russo","Rojas","Piggot Stewart","Ruiz de Huidobro","Burslem","Montti"],"fullName":["Powell, P.A.","Russo, M.C.","Rojas, T.N.","Piggot Stewart, A.G.","Ruiz de Huidobro, N.","Burslem, D.F.R.P.","Montti, L."],"funder":["Natural Environment Research Council"],"givenName":["Priscila Ana","M.C.","T.N.","A.G.","N.","D.F.R.P.","L.","P.A. "],"grant":["NE/S011641/1"],"identifier":"c3295206-052a-4c87-911a-75d357791b5c","incomingCitationCount":0,"keyword":["Horco Molle experimental reserve","Tucumán","Argentina","Invasive species","Ligustrum lucidum","tree","Yungus","Subtropical secondary forest","invaded forest","forest census","montane forest","invasive alien species","superinvader"],"keywordsOther":["Ligustrum lucidum","tree","Yungus","Subtropical secondary forest","invaded forest","forest census","montane forest","invasive alien species","superinvader"],"keywordsPlace":["Horco Molle experimental reserve","Tucumán","Argentina"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"The tree census data were part of a field experiment of management of secondary forests affected by Ligustrum lucidum invasion by establishing 6 permanent plots of 240 metres by 140 metres each (3.36 hectares, see included shapefile). Plots were established in pairs (3 pairs in total), where one element of the pair was assigned as the null scenario (no actions applied), and the other was the control (L.lucidum control and native tree planting). Before management actions, a census was conducted, including all the trees with perimeters equal to or more than 15.7 cm Perimeter at Breast Height (PBH) tall in the inner area (1.2 hectares) and all the trees equal to or greater than 31.4 cm PBH for the rest of the plot.\nTrees were identified at the species level for most cases, using field guides and supported by local experienced taxonomists.\nThe plots were mapped using a GPS device (Garmin Etrex Vista HCX) and posterior visual correction using the Qgis platform and Google Hybrid satellite image of the area. Data were exported a Shapefiles for deposit into the Environmental Data Information Centre (EIDC) Data were recorded onto field sheets, transferred into spreadsheets and exported as comma separated value (CSV) files for deposit into the EIDC.\n","locations":["POLYGON((-65.629 -27.179, -65.629 -26.473, -65.135 -26.473, -65.135 -27.179, -65.629 -27.179))"],"metadataDate":"2026-06-29T17:01:23.000Z","orcid":["https://orcid.org/0000-0003-3911-0912","https://orcid.org/0000-0001-5273-8830","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0003-0301-016X"],"organisation":["Instituto de Ecología Regional (Universidad Nacional de Tucumán & CONICET), Argentina","Universidad Nacional de Tucumán & CONICET"," University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c3295206-052a-4c87-911a-75d357791b5c","10.5285/c3295206-052a-4c87-911a-75d357791b5c","doi:10.5285/c3295206-052a-4c87-911a-75d357791b5c"],"resourceType":"Dataset","rightsHolder":["Universidad Nacional de Tucumán & CONICET"],"ror":["https://ror.org/04chzd762","https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource consists of tree census data and shapefiles about plots established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. An experiment…","state":"published","title":"Tree census data from secondary subtropical forests invaded by Ligustrum lucidum, Horco Molle, Argentina, 2020-2023","topic":["0/Invasive species/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"authorFullName":["Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"authorGivenName":["R.D.","C.","L.","G.","R.","I."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible , incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Product consists of 1km percentages per Target Class. Northern Ireland only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, D.","Morton, R.D.","Rowland, C.","Wood, C.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["Dan","R.D.","C.","L.","G.","R.","I."],"identifier":"e611794a-2f7c-4cfc-a8ab-4c38131e0fad","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","CEH Project NEC03259","LCM2007","CEH Biodiversity Programme"],"keywordsOther":["CEH Project NEC03259","LCM2007","CEH Biodiversity Programme"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-06-27T13:48:30.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300192182586","CEH:EIDC::1300192182586","https://catalogue.ceh.ac.uk/id/e611794a-2f7c-4cfc-a8ab-4c38131e0fad","10.5285/e611794a-2f7c-4cfc-a8ab-4c38131e0fad","doi:10.5285/e611794a-2f7c-4cfc-a8ab-4c38131e0fad"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007…","state":"published","title":"Land Cover Map 2007 (1km percentage target class, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Taylor","Dawson","D’Cruz","Jackson","Lowe","Rees","Richardson","Sains","Short","Gilbert","Reader"],"authorFullName":["Taylor, C.","Dawson, J.J.","D’Cruz, T.","Jackson, H.J.","Lowe, R.","Rees, H.","Richardson, J.","Sains, J.","Short, F.","Gilbert, F.","Reader, T."],"authorGivenName":["C.","J.J.","T.","H.J.","R.","H.","J.","F."],"authorOrcid":["https://orcid.org/0000-0003-4299-7104","https://orcid.org/0000-0002-6941-6157","https://orcid.org/0000-0002-2727-4103","https://orcid.org/0000-0001-7586-8814"],"authorRor":["https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Three files describe behavioural trials involving jumping spiders, crab spiders and praying mantises respectively. They include details about the individual predators, the stimuli used and the behavioural responses from the predators.","documentType":"GEMINI_DOCUMENT","familyName":["Taylor","Dawson","D’Cruz","Jackson","Lowe","Rees","Richardson","Sains","Short","Gilbert","Reader"],"fullName":["Taylor, C.","Dawson, J.J.","D’Cruz, T.","Jackson, H.J.","Lowe, R.","Rees, H.","Richardson, J.","Sains, J.","Short, F.","Gilbert, F.","Reader, T."],"funder":["Natural Environment Research Council"],"givenName":["C.","J.J.","T.","H.J.","R.","H.","J.","F."],"grant":["NE/S000623/1"],"identifier":"ee7ba05a-449b-466e-840c-8de1d3f1d4d1","incomingCitationCount":0,"keyword":["laboratory","Animal behaviour","Batesian mimicry","insect","hoverfly","Syrphidae","wasp","hymenopteran","praying mantis","Mantidae","jumping spider","spider","Salticidae","phiddipus","audax","Thomisidae","Shiny crab-spider","Synema globosum","predator"],"keywordsOther":["Batesian mimicry","insect","hoverfly","Syrphidae","wasp","hymenopteran","praying mantis","Mantidae","jumping spider","spider","Salticidae","phiddipus","audax","Thomisidae","Shiny crab-spider","Synema globosum","predator"],"keywordsPlace":["laboratory"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"We investigated how different species of invertebrate, all potential predators of flower-visiting insects, responded to 3D printed wasp-like and fly-like stimuli. Our predators were jumping spiders, crab spiders and praying mantises. Each received training to associate wasp stimuli with a negative experience, while fly stimuli were not associated with any positive or negative experience. We then tested predator responses to a range of novel mimetic stimuli with varying levels of similarity to the wasp stimulus. The aim was to determine how accurately a stimulus needed to mimic the negatively-conditioned wasp stimulus before it would be mistaken for the wasp by the predators .\n\nBehavioural observations were conducted in real time during the experimental trials, with video recordings taken in some cases for later reference. A stopwatch was used for timings.\n\nData have been cleaned (for example, removal of invalid or unused data points) and formatted using custom scripts in R v4.3.2.","metadataDate":"2026-06-29T16:19:49.000Z","orcid":["https://orcid.org/0000-0003-4299-7104","https://orcid.org/0000-0002-6941-6157","https://orcid.org/0000-0002-2727-4103","https://orcid.org/0000-0001-7586-8814"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ee7ba05a-449b-466e-840c-8de1d3f1d4d1","10.5285/ee7ba05a-449b-466e-840c-8de1d3f1d4d1","doi:10.5285/ee7ba05a-449b-466e-840c-8de1d3f1d4d1"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/01ee9ar58","https://ror.org/04xw4m193"],"shortenedDescription":"Three files describe behavioural trials involving jumping spiders, crab spiders and praying mantises respectively. They include details about the individual predators, the stimuli used and the behavioural responses from the predators.","state":"published","title":"Invertebrate behavioural responses to 3D-printed insect replicas, featuring combinations of traits from wasps and flies, in laboratory trials","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Loughborough University"],"authorFamilyName":["Radbourne","Ryves","Anderson"],"authorFullName":["Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"authorGivenName":["A.D.","D.B","N.J."],"authorOrcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"authorRor":["https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and diatom assemblages. The sediment trap data cover the period from October 2004 to January 2017, while the thermal profiles cover October 2005 to December 2016. Diatom data is presented with date, percentage taxa abundance and diatom fluxes based on total sediment yield. Temperature profiles are presented as mean daily figures. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1], with the temperature data funded by the UKLEON (UK Lake Ecological Observatory Network) project via a NERC small grant [grant number NE/I007261/1].","documentType":"GEMINI_DOCUMENT","familyName":["Radbourne","Ryves","Anderson"],"fullName":["Radbourne, A.","Radbourne, A.D.","Ryves, D.B.","Anderson, N.J."],"funder":["Natural Environment Research Council"],"givenName":["Alan","A.D.","D.B","N.J."],"grant":["NE/L002493/1"],"identifier":"16f52064-a19d-4cf5-a388-aff04a592179","incomingCitationCount":0,"keyword":["Rostherne Mere","Stephanodiscus parvus","Sediment traps","diatom","stratification","water temperature","UKLEON","UK Lake Ecological Observatory Network","relative resistance to thermal mixing","RTRM"],"keywordsOther":["Stephanodiscus parvus","Sediment traps","diatom","stratification","water temperature","UKLEON","UK Lake Ecological Observatory Network","relative resistance to thermal mixing","RTRM"],"keywordsPlace":["Rostherne Mere"],"licence":"Open government licence","lineage":"Sediment trapping using open traps and sequencing traps was carried out at Rostherne Mere from January 2004 to January 2017. Traps were deployed in a central lake location at 10 m and 25 m water depths, sequentially opening into 12 individual 250 ml HDPE bottles, each representing a ~2 week collection period (in January and February longer collection periods of 3-4 weeks were used). The traps were reset every ~6 months as dictated by the trapping interval used, with trap sediment kept cool, dark and sealed during transport to the laboratory where it was stored frozen prior to analysis. All trap samples were freeze-dried prior to analysis and weighed for total trap sample dry sediment flux. ","locations":["POLYGON((-2.397 53.346, -2.397 53.36, -2.369 53.36, -2.369 53.346, -2.397 53.346))"],"metadataDate":"2026-06-29T17:22:18.000Z","orcid":["https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-0037-0306"],"organisation":["Loughborough University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/16f52064-a19d-4cf5-a388-aff04a592179","10.5285/16f52064-a19d-4cf5-a388-aff04a592179","doi:10.5285/16f52064-a19d-4cf5-a388-aff04a592179"],"resourceType":"Dataset","ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes sediment trap diatom captures and water column temperature profiles from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between climate, especially short-term climatic perturbations, and…","state":"published","title":"Sediment trap diatom assemblages from Rostherne Mere, Cheshire, UK (2004-2017)","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Henrys","Norton","Smart","Wood"],"authorFullName":["Maskell, L.C.","Henrys, P.A.","Norton, L.R.","Smart, S.M.","Wood, C.M."],"authorGivenName":["L.C.","P.A.","L.R.","S.M.","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-4758-1482"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"The dataset consists of a map of individual ash trees (Fraxinus excelsior) across Great Britain. The data is derived from Countryside Survey 2007 and includes individual trees in the landscape, clumps of trees and veteran trees. Trees were mapped in 569 1km sample squares across Britain, and this national estimate dataset was derived from the sample data using ITE Land Classes.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Henrys","Norton","Smart","Wood"],"fullName":["Maskell, L.","Maskell, L.C.","Henrys, P.A.","Norton, L.R.","Smart, S.M.","Wood, C.M."],"givenName":["Lindsay","L.C.","P.A.","L.R.","S.M.","C.M."],"identifier":"0c3567a8-3700-4d52-a21f-de1bd709141a","incomingCitationCount":0,"keyword":["Great Britain","Biodiversity","Fraxinus excelsior"],"keywordsOther":["Fraxinus excelsior"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.","locations":["POLYGON((-7.84 49.8, -7.84 60.83, 1.97 60.83, 1.97 49.8, -7.84 49.8))"],"metadataDate":"2026-06-29T18:15:45.000Z","orcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-4758-1482"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-08-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1374151103419","CEH:EIDC::1374151103419","https://catalogue.ceh.ac.uk/id/0c3567a8-3700-4d52-a21f-de1bd709141a","10.5285/0c3567a8-3700-4d52-a21f-de1bd709141a","doi:10.5285/0c3567a8-3700-4d52-a21f-de1bd709141a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of a map of individual ash trees (Fraxinus excelsior) across Great Britain. The data is derived from Countryside Survey 2007 and includes individual trees in the landscape, clumps of trees and veteran trees. Trees were mapped in 569 1km sample squares…","state":"published","supplementalDescription":["Distribution of Ash trees (Fraxinus excelsior) in Countryside Survey data (2013). Maskell, L.C., Henrys, P.A., Norton, L.R., Smart, S.M. and Wood, C.M. January 2013, NERC/Centre for Ecology & Hydrology, Lancaster. "],"supplementalName":["Countryside survey website"],"title":"Distribution of individual ash trees in Great Britain","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research"],"authorFamilyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"authorFullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M."],"authorGivenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M."],"authorOrcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering the different agrochemicals used and their differing forms of environmental impact. We provide four mapped products: IYR for Nitrogen fertilisers, IYR for Phosphorus fertilisers, IYR for pesticide risk to earthworms, and IYR for pesticide risk to honeybees. The IYR is calculated using scaled rather than absolute values, with the maximum value in each yield and inputs dataset set as 1, so that all inputs and rewards are expressed proportionally to each other.\n\nThe research was funded under research programme NE/N018125/1 ASSIST and NE/W005050/1 AgZero+.","documentType":"GEMINI_DOCUMENT","familyName":["Fincham","Risser","Jarvis","Schultz","Spurgeon","Redhead","Storkey","Pywell","Bullock"],"fullName":["Fincham, W.N.W.","Risser, H.A.","Jarvis, S.G.","Schultz, C.","Spurgeon, D.J.","Redhead, J.W.","Storkey, J.","Pywell, R.F.","Bullock, J.M.","Risser, H."],"funder":["Natural Environment Research Council"],"givenName":["W.N.W.","H.A.","S.G.","C.","D.J.","J.W.","J.","R.F.","J.M.","Hannah"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Mapping","Land use","Modelling","ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsOther":["ASSIST","AgZero+","Environmental harm","Farming","Input to Yield Ratio","IYR","HoneyBees","Wheat","Yield","agrochemical","environmental sustainability","pesticide","phosphorus","nitrogen","food production (agriculture)","fertiliser","earthworm"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Land use","Modelling"],"licence":"Open government licence","lineage":"We mapped estimated pesticide and fertiliser applications to 1km grid squares in England using data from the Fera Pesticide Utilisation Survey and the British Survey of Fertiliser Practice, respectively. Estimated pesticide applications were converted to risk values to honeybees and earthworms using information on toxicity from the Pesticide Property Database. Areas with winter wheat crop were identified from the UKCEH Land Cover® plus: Crops map. Data from the June Survey of Agricultural and Horticultural activity were used to create an average wheat yield map for England.\n\nWe then compared the fertiliser and pesticide application datasets separately to estimated yields of wheat in order to derive the Input to Yield Ratio (IYR) for four separate agrochemical inputs: Nitrogen fertilisers, Phosphorus fertilisers, pesticide exposure for earthworms, and pesticide exposure for honeybees.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-27T19:24:48.000Z","orcid":["https://orcid.org/0000-0003-0614-3937","https://orcid.org/0000-0001-9819-1092","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-1578-5114","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0003-1094-8914","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0003-0529-4020"],"organisation":["UK Centre for Ecology & Hydrology","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd","doi:10.5285/dfe2a4a5-2b3a-4731-ba7f-aea7e926f1dd"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"These maps show the Input to Yield Ratio (IYR) of wheat farming in England, calculated as the ratio of agrochemical inputs to agricultural reward as yield. \n\nWe assess the IYR at a 1km resolution for wheat grown in England over the period the period 2010-2017, considering…","state":"published","title":"Input to Yield Ratio (IYR) maps for wheat farming in England, 2010-2017","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Land use/","0/Modelling/"],"version":1.0,"view":["public","eidc-staff"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage cover for each 1km pixel. The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution.\n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"380f49e5-9448-4d26-b832-fe176d3a1978","incomingCitationCount":0,"keyword":["Land cover","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover aggregate class is produced from the 1km percentage cover aggregate class product. The 1km percentage cover data is used to identify the highest percentage cover across the 10 bands and a script is used to identify which band the maximum value coincides with.\n\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-30T16:42:46.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/380f49e5-9448-4d26-b832-fe176d3a1978","10.5285/380f49e5-9448-4d26-b832-fe176d3a1978","doi:10.5285/380f49e5-9448-4d26-b832-fe176d3a1978"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant aggregate class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the aggregated habitat class with the highest percentage…","state":"published","title":"Land Cover Map 1990 (1km dominant aggregate class, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee","Butterfly Conservation"],"authorFamilyName":["Rolph","Mondain-Monval","August","Jarvis","Wright","Fox","Pocock"],"authorFullName":["Rolph, S.","Mondain-Monval, T.O.","August, T.","Jarvis, S.G.","Wright, E.","Fox, R.","Pocock, M.J.O."],"authorGivenName":["S","T.O.","T.","S.G.","E.","R.","M.J.O."],"authorOrcid":["https://orcid.org/0000-0001-6755-9456","https://orcid.org/0000-0002-6770-2002","https://orcid.org/0000-0003-1116-3385","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-3346-0743","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0003-4375-0445"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05tzsrw37","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only considered 'macro-moths'.) For each group there are three outputs; species richness, model variability and DECIDE recording priority. The outputs summarise across multiple species within each group. The model’s prediction probability of occurrence for individual species is not made available. The outputs are in a raster format on Ordnance Survey National Grid reference system (OSGB) at 100m x 100m resolution.\n\nSpecies richness layers are a modelled prediction of how many species are present at a location. Model variability is used to determine where a model is uncertain about its prediction of species occurrence. Model variability is combined with information about how recently a species had been recorded to produce the DECIDE recording priority. The DECIDE recording priority is a measure to prioritise locations to support adaptive sampling of where to collect species occurrence data to improve species distribution models.","documentType":"GEMINI_DOCUMENT","familyName":["Rolph","Mondain-Monval","August","Jarvis","Wright","Fox","Pocock"],"fullName":["Rolph, S.","Mondain-Monval, T.O.","August, T.","Jarvis, S.G.","Wright, E.","Fox, R.","Pocock, M.J.O."],"funder":["Natural Environment Research Council"],"givenName":["Simon","S","T.O.","T.","S.G.","E.","R.","M.J.O."],"grant":["NE/V003054/1"],"identifier":"445381ce-f412-48a0-bc3c-2d0ef4737274","incomingCitationCount":0,"keyword":["Biodiversity","moth","Lepidoptera","species distribution model","adaptive sampling","butterfly","lepidopteran","biodiversity"],"keywordsOther":["moth","Lepidoptera","species distribution model","adaptive sampling","butterfly","lepidopteran","biodiversity"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Outputs are derived from species distribution models (SDMs) fitted to species occurrence data and environmental data. The species occurrence data is from structured surveys and opportunistic species record. Data is from Butterflies for the New Millennium (https://butterfly-conservation.org/our-work/recording-and-monitoring/butterflies-for-the-new-millennium) and the UK Butterfly Monitoring Scheme and the National Moth Recording Scheme. Environmental data used for fitting SDMs included; BIOCLIM variables derived from long term average climate data, altitude, slope, aspect, land-cover (UKCEH land-cover map).\n\nSDMs were fitted for species separately using an ensemble modelling approach using four different model types; logistic regression (GLM), general additive model (GAM), random forest (RF) and Maxent (ME). Best performing models for each species were used. Species richness is the summed predicted probability of presence across all species within each group (butterfly, day-flying moths, and night-flying moths).\n\nModel variability was calculated using a bootstrapping approach. For each model type, we fit the model 10 times on 90% random subsets of the total species' occurrence dataset. Model variability was calculated as the standard deviation across each model’s predicted probability of occurrence at each location for each species. The model variability was summed across all species within each group to produce the model variability layer. \n\nThe DECIDE recording priority (where a recorder should visit next) was calculated as a composite of model variability and how recently a record had been made in a location. Specifically, the model variability was down-weighted by the days since each record by dividing by the number of months since last record.\n\nIn the DECIDE tool (https://decide.ceh.ac.uk), the DECIDE recording priority layer is updated daily as new records are made on iRecord, iNaturalist and iSpot. The data presented here is a snapshot of the layers as of 20-Feb-2023.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:40:15.000Z","orcid":["https://orcid.org/0000-0001-6755-9456","https://orcid.org/0000-0002-6770-2002","https://orcid.org/0000-0003-1116-3385","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-3346-0743","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0003-4375-0445"],"organisation":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee","Butterfly Conservation","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/445381ce-f412-48a0-bc3c-2d0ef4737274","10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274","doi:10.5285/445381ce-f412-48a0-bc3c-2d0ef4737274"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05tzsrw37","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes a set of modelled outputs produced as part of the DECIDE project. Three groups were modelled; butterflies, day-flying moths and night-flying moths. (For the moths, we only considered 'macro-moths'.) For each group there are three outputs; species…","state":"published","supplementalName":["DECIDE tool"],"title":"Species richness and recording priority derived from species distribution models for Lepidoptera in Great Britain","topic":["0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scarlett","Edwards","Astbury","Burden","Carter","Emmett","Garbutt","Henrys","Keenan","Owen","Sharps","Williams","Wood"],"authorFullName":["Scarlett, P.","Edwards, F.","Astbury, S.","Burden, A.","Carter, H.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Keenan, P.","Owen, A.","Sharps, K.","Williams, B.","Wood, C.M."],"authorGivenName":["P.","F.","S.","A.","H.","B.A.","P.A.","K.","B.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of  headwater stream quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, 'River Habitat Surveys', invertebrates, diatoms and site characteristics. Streams were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained stream features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).\n\nThe monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Scarlett","Edwards","Astbury","Burden","Carter","Emmett","Garbutt","Henrys","Keenan","Owen","Sharps","Williams","Wood"],"fullName":["Scarlett, P.","Edwards, F.","Astbury, S.","Burden, A.","Carter, H.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Keenan, P.","Owen, A.","Sharps, K.","Williams, B.","Wood, C.M."],"givenName":["P.","F.","S.","A.","H.","B.A.","P.A.","K.","B.","C.M.","Pete"],"identifier":"e305fa80-3d38-4576-beef-f6546fad5d45","incomingCitationCount":1,"keyword":["Wales","Glastir","Agri-environment scheme"],"keywordsPlace":["Wales"],"keywordsTheme":["Glastir","Agri-environment scheme"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from up to 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-06-29T16:29:40.000Z","orcid":["https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Welsh Government","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e305fa80-3d38-4576-beef-f6546fad5d45","10.5285/e305fa80-3d38-4576-beef-f6546fad5d45","doi:10.5285/e305fa80-3d38-4576-beef-f6546fad5d45"],"resourceType":"Dataset","rightsHolder":["Welsh Government"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of  headwater stream quality data for sites across Wales between 2013 and 2016. Data include macrophyte species records, chemistry and water quality metrics, 'River Habitat Surveys', invertebrates, diatoms and site characteristics. Streams were…","state":"published","supplementalDescription":["Website for the Glastir Monitoring and Evaluation Project (GMEP)\n","Website for the Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP). Follow-up project to GMEP.","Website for closely related project,  Countryside Survey "],"supplementalName":["GMEP Website","ERAMMP website","Countryside Survey website"],"title":"Headwater stream quality metrics from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Swansea University","US Forest Service"],"authorFamilyName":["Cabo","Laino","Doerr","Parsons","Hudak","Santin"],"authorFullName":["Cabo, C.","Laino, D.","Doerr, S.H.","Parsons, R.A.","Hudak, A.T.","Santin, C."],"authorGivenName":["C.","D.","S.H.","R.A.","A.T."],"authorOrcid":["https://orcid.org/0000-0002-0387-9052","https://orcid.org/0000-0002-7106-0559","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-5091-8993","https://orcid.org/0000-0001-7480-1458","https://orcid.org/0000-0001-9901-2658"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/03zmjc935"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. The primary data resource is a structured inventory of forest vegetation, where each entry represents an individual tree. Key variables include precise spatial coordinates (X, Y, Z), Diameter at Breast Height (DBH), and Total Height (TH). These parameters serve as the foundational inputs required to synthesize complex 3D fuel beds within the FastFuels modeling environment that can be later be used as inputs for wildfire simulation softwares FIRETEC and QUIC-Fire.\n\nThe data was extracted from terrestrial 3D LiDAR point clouds of a Pinus ponderosa plot scanned with a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon, USA during the summer of 2019. This resource was developed to provide \"ground truth\" fuel data for the validation and calibration of next-generation wildfire models, enabling researchers to simulate fire behaviour-such as crown fire initiation and heat flux-with higher physical fidelity.","documentType":"GEMINI_DOCUMENT","familyName":["Cabo","Laino","Doerr","Parsons","Hudak","Santin"],"fullName":["Diego Laino","Cabo, C.","Laino, D.","Doerr, S.H.","Parsons, R.A.","Hudak, A.T.","Santin, C."],"funder":["Natural Environment Research Council","Agencia Estatal de Investigacion","Department of Defense Strategic Environmental Research and Development Program"],"givenName":["C.","D.","S.H.","R.A.","A.T."],"grant":["NE/T001194/1","PID2021-126790NB-I00","RC20-1025","RC23-7626"],"identifier":"bc67144d-91c4-446d-8691-248a793bf4f4","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","Environmental risk","forest fire","remote sensing","forestry","computation fluid dynamics models","LiDAR","fuel"],"keywordsOther":["forest fire","remote sensing","forestry","computation fluid dynamics models","LiDAR","fuel"],"keywordsTheme":["Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"Point cloud acquisition was done between 8th and 12th July 2019 in a 200x200 m2 study plot of a ponderosa pine woodland in Sycan Marsh preserve, Oregon, USA. \nTLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. The point clouds have been acquired with a RIEGL-VZ400i TLS system with a laser sampling rate 750 kHz and a vertical sampling density of 0.21 degrees, mounted on a tripod at a minimum height of 1.5 m. Point cloud was georeferenced using the integrated L1 GPS receiver, compass and inclination sensors of the TLS system and ground control points whose coordinates were recorded were recorded using an RTK/Differential GPS receiver/base combination.\n\nThe raw scans were pre-processed using Riegl's proprietary software RiSCAN PRO to assign metadata (scanner position, scan ID, date/time), align all scans into a common coordinate system and divide the total study area in 40 x 40 m2 plots (n = 25 plots). These resulting plots were finally stored into LAZ files.\n\nLAZ files were processed using 3DFin software (https://github.com/3DFin/3DFin) to compute forest inventory metrics. Then, a random sample of 150 trees across the plot were extracted. Real-world coordinates (X, Y), Diameter at Breast Height (DBH) and tree Total Height (TH) are provided for each tree.","locations":["POLYGON((-121.169 42.84, -121.169 42.857, -121.151 42.857, -121.151 42.84, -121.169 42.84))"],"metadataDate":"2026-06-29T16:12:44.000Z","orcid":["https://orcid.org/0000-0002-0387-9052","https://orcid.org/0000-0002-7106-0559","https://orcid.org/0000-0002-8700-9002","https://orcid.org/0000-0001-5091-8993","https://orcid.org/0000-0001-7480-1458","https://orcid.org/0000-0001-9901-2658"],"organisation":["Swansea University","US Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bc67144d-91c4-446d-8691-248a793bf4f4","10.5285/bc67144d-91c4-446d-8691-248a793bf4f4","doi:10.5285/bc67144d-91c4-446d-8691-248a793bf4f4"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. The primary data resource is a structured inventory of forest vegetation, where each entry represents an individual tree.…","state":"published","title":"Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019","topic":["0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Edinburgh","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Shortman","Perry","Cavers"],"authorFullName":["Shortman, J.","Perry, A.","Cavers, S."],"authorGivenName":["J.","A. ","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured for each cone between June and July 2024. Traits include cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile and colour, seed number and mean seed weight. ","documentType":"GEMINI_DOCUMENT","familyName":["Shortman","Perry","Cavers"],"fullName":["Shortman, J.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["J.","A. ","S."],"grant":["NE/V019813/1"],"identifier":"b98e92cf-6ff5-42e2-8053-021ea04db01c","incomingCitationCount":0,"keyword":["Scotland","Phenology","genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","reproductive traits","Scots pine"],"keywordsOther":["genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","reproductive traits","Scots pine"],"keywordsPlace":["Scotland"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A long-term common garden trial was established in 2012 at Yair (latitude 55.603625, longitude -2.893025), using five-year-old saplings. It contains trees from 8 families (where a family comprises individuals grown from seed sampled from a single common tree) from each of 21 Scottish pinewoods and is arranged into four complete randomised blocks (see supporting document for reference). \n\nOver four days in February 2024, cone number was measured as a count of all visible cones on the south-facing side of each tree. Then, five cones were sampled from each tree for trait measurement. Cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile, colour, seed number and mean seed weight were all recorded for every cone. Cone ratio (cone width / length) and seed viability (number of filled seeds / number of empty seeds) were also recorded. ","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T16:37:23.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"organisation":["University of Edinburgh","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b98e92cf-6ff5-42e2-8053-021ea04db01c","10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c","doi:10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured…","state":"published","title":"Long-term multisite Scots pine trial, Scotland: cone and seed phenotypes, 2024 ","topic":["0/Phenology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Greenfield","Graf","Rengaraj","Bargiela","Williams","Golyshin","Chadwick","Jones"],"authorFullName":["Greenfield, L.M.","Graf, M.","Rengaraj, S.","Bargiela, R.","Williams, G.B.","Golyshin, P.N.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["L.M.","M.","S.","R.","G.B. ","P.N.","D.R.","D.L."],"authorOrcid":["https://orcid.org/0000-0003-3273-2655","https://orcid.org/0000-0001-7994-0529","https://orcid.org/0000-0003-1442-3269","https://orcid.org/0000-0002-5433-0350","https://orcid.org/0000-0002-8479-8157","https://orcid.org/0000-0002-1482-4209"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable microplastic addition where winter barley was grown. The data presented are from field and laboratory measurements. Data was collected by the data authors. The field trial was carried out from September 2020 to July 2021 at Henfaes Field Centre, UK.\n\nResearch was funded through NERC Grant NE/V005871/1. Do agricultural microplastics undermine food security and sustainable development in developing countries?","documentType":"GEMINI_DOCUMENT","familyName":["Greenfield","Graf","Rengaraj","Bargiela","Williams","Golyshin","Chadwick","Jones"],"fullName":["Greenfield, L.M.","Graf, M.","Rengaraj, S.","Bargiela, R.","Williams, G.B.","Golyshin, P.N.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["L.M.","M.","S.","R.","G.B. ","P.N.","D.R.","D.L."],"grant":["NE/V005871/1"],"identifier":"a5410834-1c38-455b-a850-3fb3434d4bb0","incomingCitationCount":0,"keyword":["Bioplastic","synthetic plastic","nitrogen cycle","greenhouse gas","degradable plastic waste","plastic","yield (agricultural)","nitrogen oxides","soil"],"keywordsOther":["Bioplastic","synthetic plastic","nitrogen cycle","greenhouse gas","degradable plastic waste","plastic","yield (agricultural)","nitrogen oxides","soil"],"licence":"Open government licence","lineage":"Data was either measured in situ in the field (N2O flux, soil moisture, rainfall and air temperature) or samples were taken, processed, and analysed in the laboratory (soil pH, electrical conductivity (EC), ammonium, nitrate, microbial community composition and crop yield). \n\nN2O flux data was measured on a mobile gas chromatograph (GC) system and integrated to obtain peak areas on Peak490Win10Canabis programme. The times, peak areas and sample ID were then exported into a .CHR file and imported into Flux.NET.3.3 which calculated N2O flux as an output in Excel which was exported as .csv file for deposit in EIDC. N2O flux was used to calculate cumulative N2O flux using trapezoidal integration in Excel and saved in a separate .csv file for deposit in EIDC.\n\nSoil moisture was measured on Accilmas with data stored as a .csv on a DataSnap that was downloaded and sorted by treatment and saved as a .csv file.\nRainfall and air temperature were downloaded from the weather station as .csv file.\nSoil pH and EC were recorded manually into a notebook and input into an Excel spreadsheet and exported as a .csv file.\nSoil ammonium and nitrate content was measured using the microplate method using a programme called Gen5. Date was exported into an Excel spreadsheet and absorbance units used to calculate ammonium/nitrate content in milligrams per kilogram using a calibration curve from a set of standards in an Excel spreadsheet. This was exported as a .csv file.\nCrop growth data was recorded in the field in a notebook and input into an Excel spreadsheet and exported as a .csv file.\nCrop yield was recorded in a notebook and input into an Excel spreadsheet and exported as a .csv file.\nMicrobial community composition was measured using 16S gene sequencing on an Illumina MiSeq. This generated raw sequencing reads which were processed using Python and filtered using QIIME v1.3.1. creating asv.count.table.csv of counts of each Amplicon Sequence Variants (ASVs) per sample and taxa.table.csv of the taxonomic lineage for each ASVs.","locations":["POLYGON((-4.052 53.214, -4.052 53.256, -3.994 53.256, -3.994 53.214, -4.052 53.214))"],"metadataDate":"2026-06-29T16:53:43.000Z","orcid":["https://orcid.org/0000-0003-3273-2655","https://orcid.org/0000-0001-7994-0529","https://orcid.org/0000-0003-1442-3269","https://orcid.org/0000-0002-5433-0350","https://orcid.org/0000-0002-8479-8157","https://orcid.org/0000-0002-1482-4209"],"organisation":["NERC EDS Environmental Information Data Centre","Bangor University"],"publicationDate":"2022-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5410834-1c38-455b-a850-3fb3434d4bb0","10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0","doi:10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/04xw4m193","https://ror.org/006jb1a24"],"shortenedDescription":"This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable…","state":"published","title":"Nitrous oxide emissions and associated microbial diversity, soil biochemical properties and crop growth and yield from a field trial of winter barley with the addition of microplastics, Abergwyngregyn, UK, 2020-2021","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","James","Colin A","Jo","David B"],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last appearance, date of peak abundance and mean flight date) and the duration (total number of days, standard deviation around the mean flight date) of the flight period for all UK butterfly species from 1976 to the year in the name of this dataset. \n\nPhenology change is a widely used measure of the biological impacts of climate change because of the close relationship between temperature and the timing of biological events. This dataset provides an invaluable tool for assessing the impacts of climate change both spatially and temporally.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"funder":["Natural Environment Research Council"],"givenName":["Marc S","Ian","James","Colin A","Jo","David B","Marc"],"identifier":"b9d237fc-5a79-4449-bcee-34c52d87608f","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Lepidoptera","BReVI"],"keywordsOther":["annual","butterflies","Lepidoptera","BReVI"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Phenology data include measurements of the timing and duration of flight periods for each butterfly species at each site in each year it was recorded there. Data on timing include the first day and last day on which a given species was recorded at each site in each year, the day on which the greatest (peak) count of each species was recorded for each site in each year, and the mean flight date (a weighted mean day number) for each species at each site in each year. Data on the duration of flight periods include the standard deviation around the mean flight date and the number of days (range) between the first and last days on which a species was recorded on a given site in each year it was recorded there.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:23:58.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b9d237fc-5a79-4449-bcee-34c52d87608f","10.5285/b9d237fc-5a79-4449-bcee-34c52d87608f","doi:10.5285/b9d237fc-5a79-4449-bcee-34c52d87608f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides data on the timing of butterfly flight periods for each UK butterfly species across all monitored sites in the UK Butterfly Monitoring Scheme (UKBMS). Annual data from over 2,500 sites are presented relating to the timing (first appearance, last…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme: phenology 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","British Geological Survey","University College London"],"authorFamilyName":["House","Roberts","Stratford","Old","Hewitt","Bell","Manamsa","Woods","Williams","Townsend","Sorensen","Thompson"],"authorFullName":["House, A.R.","Roberts, C.","Stratford, C.J.","Old, G.H.","Hewitt, E.J.","Bell, R.","Manamsa, K.","Woods, I.","Williams, P.","Townsend, J.","Sorensen, J.","Thompson, J."],"authorGivenName":["A.R.","C.","C.J.","G.H.","E.J.","R.","K.","I.","P.","J."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains logged and manual observations of groundwater levels for piezometers at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory wetlands at Boxford, Berkshire, for the period February 1 2012 to January 16 2015 (01/02/2012 to 16/01/2015). The CEH River Lambourn Observatory located in Berkshire, UK (51.445o N 1.384o W) comprises c. 10 ha of riparian wetland which is bordered to the east by a 600 m stretch of the River Lambourn. The subsurface architecture comprises bedrock Chalk, overlain by gravels and then peat. Also presented are datums and ground levels for each piezometer, with data available for groundwater levels in peat, gravels and chalk. Groundwater heads were routinely checked at all piezometers by manually dipping observed water levels. At selected piezometers groundwater heads were monitored every 15 minutes using pressure transducers. Piezometers were not anchored to bedrock, though piezometer datum movement due to peat compressibility with saturation was discounted after comparisons of level surveys.","documentType":"GEMINI_DOCUMENT","familyName":["House","Roberts","Stratford","Old","Hewitt","Bell","Manamsa","Woods","Williams","Townsend","Sorensen","Thompson"],"fullName":["House, A.R.","Roberts, C.","Stratford, C.J.","Old, G.H.","Hewitt, E.J.","Bell, R.","Manamsa, K.","Woods, I.","Williams, P.","Townsend, J.","Sorensen, J.","Thompson, J.","Old, G."],"givenName":["A.R.","C.","C.J.","G.H.","E.J.","R.","K.","I.","P.","J.","Gareth"],"identifier":"f4b8ca09-31a7-4f20-9fc1-eb35744e28d6","incomingCitationCount":0,"keyword":["River Lambourn Observatory","Hydrology"],"keywordsPlace":["River Lambourn Observatory"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"An existing gridded piezometer array originally installed by CEH in February 2012 was numbered 1-15. Supplemental piezometers to the same design specification were added in May 2013 to target observed temperature anomalies (locations 16-21). All locations comprise separate peat (P) and gravel (G) piezometers, with the exception of location 8 where the peat was too thin to complete an installation. Gravel piezometers were screened approximately 2.5-3.5 m below ground level (bgl) while peat piezometers were screened across the entire peat thickness. Peat piezometers in the pre-existing array were installed with the slotted screen extending above ground level, while bentonite was used to seal new piezometers with closed screens above ground level. Chalk (C) boreholes are also located at sites 3, 22 and 23; these were screened at 9.5-10.0, 8.0-9.0 and 5.0-6.0 m bgl, respectively.\n\nAt selected piezometers groundwater heads were monitored every 15 minutes using either In-Situ Level Troll 500sTM or SWS DiversTM installed to a consistent depth of 3 m bgl in gravel piezometers and to the base of the peat in peat piezometers. Groundwater heads were routinely checked at all piezometers by manually dipping observed water levels to quality control logged data susceptible to drift.\n\nPiezometers were not anchored to bedrock, with the possible consequence that datums for water levels, taken at the top of piezometers, could move with the expansion and contraction of the peat due to saturation. Though it has been suggested that shallow (<0.5 m) peat generally possesses low compressibility, piezometer elevations were surveyed at periods of low (November 2013) and high (April 2014) water table level to ascertain any vertical movement. Surveys were carried out using Trimble 5600 DRTM total station and Trimble R8TM differential GPS (dGPS). Three total station setups were positioned with dGPS based on line of sight to fixed benchmark points, and to enable best coverage. Selected piezometers were included in the surveys based on line of sight to total station setups. \n\nResults from the surveys showed differences could be grouped dependent on instrument setup. Mean differences for setups 1, 2, and 3 were 0.019, 0.000 and 0.006 m, respectively, which indicate systematic error and are likely due to inaccuracies in the Trimble R8TM GPS receiver due to obstructions, satellite geometry or atmospheric conditions. Variance around the means was not more than 0.003 m, within the accuracy for the Trimble 5600 DRTM total station. Hence, piezometer movement due to peat compressibility with saturation was discounted.","locations":["POLYGON((-1.386 51.442, -1.386 51.448, -1.38 51.448, -1.38 51.442, -1.386 51.442))"],"metadataDate":"2026-06-29T16:46:48.000Z","organisation":["Centre for Ecology & Hydrology","British Geological Survey","University College London","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4b8ca09-31a7-4f20-9fc1-eb35744e28d6","10.5285/f4b8ca09-31a7-4f20-9fc1-eb35744e28d6","doi:10.5285/f4b8ca09-31a7-4f20-9fc1-eb35744e28d6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains logged and manual observations of groundwater levels for piezometers at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory wetlands at Boxford, Berkshire, for the period February 1 2012 to January 16 2015 (01/02/2012 to 16/01/2015).…","state":"published","title":"Groundwater levels data for the CEH River Lambourn Observatory at Boxford (01/02/2012 to 16/01/2015)","topic":["0/Hydrology/"],"version":1.0,"view":["public","weig"]},{"authorAffiliation":["University of St Andrews","University of Leeds","Instituto de Investigaciones de la Amazonía Peruana","Charles University","University of Edinburgh"],"authorFamilyName":["Lawson","Åkesson","Baker","Cordova Oroche","Dargie","del Aguila-Pasquel","Grandez Ríos","Hastie","Honorio Coronado","Mitchard","Roucoux","Reyna Huaymacari","Williams"],"authorFullName":["Lawson, I.T.","Åkesson, C.","Baker, T.R.","Cordova Oroche, C.J.","Dargie, G.C.","del Aguila-Pasquel, J.","Grandez Ríos, J.","Hastie, A.","Honorio Coronado, E.N.","Mitchard, E.T.","Roucoux, K.H.","Reyna Huaymacari, J.","Williams, M."],"authorGivenName":["I.T.","C.","T.R.","C.J.","G.C.","J.","A.","E.N.","E.T.","K.H.","M."],"authorOrcid":["https://orcid.org/0000-0002-3547-2425","https://orcid.org/0000-0002-3251-1679","https://orcid.org/0000-0002-0692-3186","https://orcid.org/0000-0003-2098-3510","https://orcid.org/0000-0003-2314-590X"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/024mrxd33","https://ror.org/010ywy128","https://ror.org/024d6js02","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. \nSite NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare rates of litter and root production and decay at the two sites, over a complete annual cycle, in order to understand the dynamics of carbon accumulation in peat in this region. Selected datasets extend to other sites, in order to provide some context for the measurements from NYO-03 and VEN-02. Downcore data from peat cores from the sites provide palaeoecological information.","documentType":"GEMINI_DOCUMENT","familyName":["Lawson","Åkesson","Baker","Cordova Oroche","Dargie","del Aguila-Pasquel","Grandez Ríos","Hastie","Honorio Coronado","Mitchard","Roucoux","Reyna Huaymacari","Williams"],"fullName":["Lawson, I.T.","Åkesson, C.","Baker, T.R.","Cordova Oroche, C.J.","Dargie, G.C.","del Aguila-Pasquel, J.","Grandez Ríos, J.","Hastie, A.","Honorio Coronado, E.N.","Mitchard, E.T.","Roucoux, K.H.","Reyna Huaymacari, J.","Williams, M."],"funder":["Natural Environment Research Council"],"givenName":["I.T.","C.","T.R.","C.J.","G.C.","J.","A.","E.N.","E.T.","K.H.","M."],"grant":["NE/R000751/1"],"identifier":"e34dc4c7-57d8-4120-921b-06d2f25d5e04","incomingCitationCount":0,"keyword":["Peru","Ecosystem","Radiocarbon","pollen","carbon","nitrogen","root","litter","peat"],"keywordsOther":["Peru","Ecosystem","Radiocarbon","pollen","carbon","nitrogen","root","litter","peat"],"licence":"Open government licence","lineage":"Data were generated using a combination of field and laboratory measurement, including: measurements of decomposition rates of different plant materials, using litter decomposition bags; collection of coarse woody debris along cleared transects; collection of litter in mesh traps; estimates of root production using ingrowth cores; estimates of stem diameter change using dendrometer bands; measurements of palm tree heights; radiocarbon and lead-210 dating of peat samples; carbon and nitrogen concentrations of peat samples; and counts of subfossil pollen in peat samples. Replicates were applied where possible, and blanks and standards were used in laboratory analyses.","locations":["POLYGON((-74.83 -5.88, -74.83 -4.07, -73.27 -4.07, -73.27 -5.88, -74.83 -5.88))"],"metadataDate":"2026-06-29T18:19:27.000Z","orcid":["https://orcid.org/0000-0002-3547-2425","https://orcid.org/0000-0002-3251-1679","https://orcid.org/0000-0002-0692-3186","https://orcid.org/0000-0003-2098-3510","https://orcid.org/0000-0003-2314-590X"],"organisation":["University of St Andrews","University of Leeds","Instituto de Investigaciones de la Amazonía Peruana","Charles University","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e34dc4c7-57d8-4120-921b-06d2f25d5e04","10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04","doi:10.5285/e34dc4c7-57d8-4120-921b-06d2f25d5e04"],"resourceType":"Dataset","rightsHolder":["University of St Andrews","Instituto de Investigaciones de la Amazonía Peruana"],"ror":["https://ror.org/02wn5qz54","https://ror.org/024mrxd33","https://ror.org/010ywy128","https://ror.org/024d6js02","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"Ecosystem productivity data primarily from two forest census plots, NYO-03 and VEN-02, located in the Pastaza-Marañón Basin in Amazonian Peru. \nSite NYO-03 is a peatland pole forest, and Site VEN-02 is a palm swamp. The aim of the measurements was to estimate and compare…","state":"published","title":"Ecosystem productivity data from wetland sites in the Pastaza-Marañón Basin, Amazonian Peru, 2018-2020","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2018 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"396c1249-84f0-4ca0-891d-4188d750c1ee","incomingCitationCount":0,"keyword":["Northern ireland","UK-SCAPE","Land cover","land cover"],"keywordsOther":["land cover"],"keywordsPlace":["Northern ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-30T10:31:28.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/396c1249-84f0-4ca0-891d-4188d750c1ee","10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee","doi:10.5285/396c1249-84f0-4ca0-891d-4188d750c1ee"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2018 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. \nTo aid interpretation, two additional spatial datasets are provided:\n\n1km x 1km grids identifying majority lake cells for a) Great Britain and b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.\n","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A.","Rudd, A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Ali"],"grant":["NE/R016429/1"],"identifier":"c9a85f7c-45e2-4201-af82-4c833b3f2c5f","incomingCitationCount":3,"keyword":["Hydrology","Modelling","Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsOther":["Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:20:43.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-12-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","doi:10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern…","state":"published","title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by observed data (1980 to 2011)","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme "],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of fixed plots at the metre-scale. Other information includes the date of sampling, data regarding the spatial location of the plot, and an assessment of whether or not the recorded broad habitat is reported to have changed between surveyor visits.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme "],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"a12b5c70-c0e2-48cf-b0b7-3e95791feca9","incomingCitationCount":0,"keyword":["Environmental survey","National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsOther":["National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme (NPMS) website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 48.137, -8.648 60.861, 2.944 60.861, 2.944 48.137, -8.648 48.137))"],"metadataDate":"2026-06-30T10:38:29.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","doi:10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of…","state":"published","supplementalName":["Indicia database system","National Plant Monitoring Scheme website"],"title":"Habitat samples from the National Plant Monitoring Scheme, 2015-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","margla"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=11&facet=availability%7CAvailable"}