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Sites were chosen to represent contrasting habitat types in the United Kingdom, in particular sediment types, vegetation, and sea level history. ","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Ladd","Miller","Skov","Austin"],"fullName":["Smeaton, C.","Ladd, C.T.J.","Miller, L.C.","Skov, M.W.","Austin, W.E.N.","The University Court of the University of St Andrews"],"funder":["Natural Environment Research Council"],"givenName":["C.","C.T.J.","L.C.","M.W.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"f71c9f3e-0ae1-4318-a3ea-1dd30b7af3be","incomingCitationCount":0,"keyword":["aboveground","C-SIDE","United Kingdom","bulk elemental","C/N","coastal area","wetland","salt marsh","organic matter","biomass","carbon","nitrogen","vegetation"],"keywordsOther":["aboveground","C-SIDE","United Kingdom","bulk elemental","C/N","coastal area","wetland","salt marsh","organic matter","biomass","carbon","nitrogen","vegetation"],"licence":"Open government licence","lineage":"At each site a 1 m2 quadrat was placed on the marsh and the vegetation described following the British National Vegetation Classification (NVC) scheme. Within each quadrat an area of 0.125 m2 was harvested. Live vegetation was cut at the soil level and dead litter was collected from the soil surface.  DGPS was used to record the location and elevation above ordnance datum of the sample sites.\nAboveground (vegetation) biomass, organic carbon content and aboveground (vegetation) carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. \n","locations":["POLYGON((-8.019 49.844, -8.019 60.973, 2.176 60.973, 2.176 49.844, -8.019 49.844))"],"metadataDate":"2026-07-25T18:08:46.000Z","orcid":["0000-0003-4535-2555","0000-0001-5437-6474","0000-0003-2876-4312","0000-0002-7204-3865","0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Glasgow","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f71c9f3e-0ae1-4318-a3ea-1dd30b7af3be","10.5285/f71c9f3e-0ae1-4318-a3ea-1dd30b7af3be","doi:10.5285/f71c9f3e-0ae1-4318-a3ea-1dd30b7af3be"],"resourceType":"Dataset","rightsHolder":["University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data represent a quantitative measure of aboveground (vegetation) biomass, organic carbon content and aboveground (vegetation) carbon from 144 vegetation samples collected across ten UK saltmarshes between 2019 and 2020. Sites were chosen to represent contrasting…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Physical and biogeochemical measurements of aboveground (vegetation) biomass from across ten saltmarshes, UK, 2019-2020","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Bangor University","Université de Montpellier"],"authorFamilyName":["Greenfield","Puissant","Jones"],"authorFullName":["Greenfield, L.M.","Puissant, J.","Jones, D.L."],"authorGivenName":["L.M.","J","D.L."],"authorOrcid":["0000-0003-3273-2655"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains global soil protease activities and common methodological parameters (i.e. fluorometric and colorimetric analysis) used to measure soil protease activity between 1970-2020. The dataset also includes key environmental parameters that affect protease activity i.e. soil type, soil pH, mean annual temperature, mean annual precipitation, soil organic carbon, and clay content.","documentType":"GEMINI_DOCUMENT","familyName":["Greenfield","Puissant","Jones"],"fullName":["Greenfield, L.M.","Puissant, J.","Jones, D.L.","Greenfield, L."],"funder":["Natural Environment Research Council"],"givenName":["L.M.","J","D.L.","Lucy"],"grant":["NE/M009106/1"],"identifier":"3055e8c7-fa76-4350-bbdc-9b9958f58d10","incomingCitationCount":0,"keyword":["Soil","protease activity","enzyme assay","nitrogen cycling","proteinase","peptidase"],"keywordsOther":["protease activity","enzyme assay","nitrogen cycling","proteinase","peptidase"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data were collected from a systematic review of published articles that measured soil protease activity. Using a search term strategy, screening by title and abstract, and then assessing the full text for eligibility, we identified 680 studies to include in this collection. Mean soil protease activity data were exported using predetermined criteria. In addition, several environmental and methodological parameters were exported when stated in the study. The raw extracted data from the studies were split into two csv files provided here, colorimetric methods and fluorimetric methods.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T20:33:41.000Z","orcid":["0000-0003-3273-2655"],"organisation":["Bangor University","Université de Montpellier","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3055e8c7-fa76-4350-bbdc-9b9958f58d10","10.5285/3055e8c7-fa76-4350-bbdc-9b9958f58d10","doi:10.5285/3055e8c7-fa76-4350-bbdc-9b9958f58d10"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains global soil protease activities and common methodological parameters (i.e. fluorometric and colorimetric analysis) used to measure soil protease activity between 1970-2020. The dataset also includes key environmental parameters that affect protease…","state":"published","temporalExtentText":"Data collected from 1970 to 2020","title":"A systematic review of common measurement methods of global soil protease activity between 1970-2020","topic":["0/Soil/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"authorOrcid":["0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of stock (area) data for Broad Habitats across Great Britain in 1984 in a 1km grid format. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as percent habitat per 1km square for 17 different habitat types. The 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 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, species plot, soil plot, linear habitat, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M.","Claire"],"identifier":"5964c7a2-0537-40d7-9d1b-76c37c3aadf2","incomingCitationCount":0,"keyword":["Great Britain","habitats","Monitoring &Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["habitats","Monitoring &Observing Systems","Environmental survey","Parr Section"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1984 by surveyors. Data were recorded from 384 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (1998 version), as percentage values per 1km square. 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The tower over the area affected by wildfire after initial felling (UK-DKF) is located at 58.431, -3.96 and monitors across a footprint affected by a wildfire in early May 2019. The tower over the area felled for restoration after previous afforestation (UK-DKE-RESTORED, which was not affected by the wildfire) is located at 58.428, -3.967 and measures fluxes from a footprint identical in ground flora, topography, soil type and previous management to that of the FIRE tower, with the only exception that the fire did not reach as far as the footprint monitored. The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. The time period covered in this dataset is 25/09/2019 – 20/05/2021.","documentType":"GEMINI_DOCUMENT","familyName":["Artz","Coyle","Bass","Andersen"],"fullName":["Artz, R.R.E.","Coyle, M.","Bass, A.","Andersen, R."],"funder":["Natural Environment Research Council"],"givenName":["R.R.E.","M.","A.","R."],"grant":["NE/T006544/1"],"identifier":"d4a7ca90-0c62-4a31-986e-f433e1644bf3","incomingCitationCount":0,"keyword":["Peatland","greenhouse gas flux","wildfire","restoration","carbon dioxide","meteorological parameter","methane","latent heat","sensible heat"],"keywordsOther":["carbon dioxide","meteorological parameter","methane","latent heat","sensible heat"],"keywordsTheme":["Peatland","greenhouse gas flux","wildfire","restoration"],"licence":"Open government licence","lineage":"Latent heat fluxes (LE) and NEE were monitored using an enclosed path eddy covariance (EC) system. CH4 fluxes were monitored using an open path EC system. Sensible heat flux was derived from sonic anemometer measurements. A range of micrometeorological measurements were carried out on the same mast as the EC data collection. Soil physics were measured close to the EC mast (within a radius of 5 m).\nThirty‐minute flux densities of sensible and latent heat (LE and H) and net ecosystem CO2 exchange (NEE) were computed from the raw EC data using EddyPRO® Flux Calculation Software (v 7.0.6; LI‐COR Biosciences, Lincoln, Nebraska). Quality control (QC) procedures were applied to ensure only high-quality turbulent flux data were retained for analysis.\n","locations":["POLYGON((-8.648 55.089, -8.648 61.138, 0.019 61.138, 0.019 55.089, -8.648 55.089))"],"metadataDate":"2026-07-25T14:19:24.000Z","orcid":["0000-0002-8462-6558","0000-0002-9440-6524","0000-0003-3982-6582","0000-0002-7782-795X"],"organisation":["James Hutton Institute","University of Glasgow","University of the Highlands and Islands","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2022-03-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4a7ca90-0c62-4a31-986e-f433e1644bf3","10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3","doi:10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket…","state":"published","temporalExtentText":"Data collected from 2019 to 2021","title":"Carbon dioxide and methane fluxes and associated environmental observations between 2019 and 2021 from paired burned/unburned blanket bog undergoing restoration from afforestation at Forsinard, Sutherland, UK","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. 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The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"6cffd348-dad7-46f9-9c5b-8d904dd5b2a2","incomingCitationCount":0,"keyword":["Great Britain","Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Great Britain"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap 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. Version 1.2 includes the addition of OS Tiles HZ and NW. See online supporting information for further details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:48:42.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399373518003","CEH:EIDC::1399373518003","https://catalogue.ceh.ac.uk/id/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2","10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2","doi:10.5285/6cffd348-dad7-46f9-9c5b-8d904dd5b2a2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant target class across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a…","state":"published","temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (1km dominant target class, GB) v1.2","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Henrys","Rowe","McNamara"],"authorFullName":["Keith, A.M.","Henrys, P.A.","Rowe, R.L.","McNamara, N.P."],"authorGivenName":["A.M.","P.A.","R.L.","N.P."],"authorOrcid":["0000-0001-9619-1320","0000-0003-4758-1482","0000-0002-7554-821X","0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["R model"],"description":"This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare and test for significant differences in potentially non-linear depth profiles of soil properties across land use transitions, which does not need to meet any parametric distribution assumptions, and is intended to be generally applicable regardless of specific contexts of land use and soil type. A small dataset is provided with the code to demonstrate the BLR approach and its outputs. The code was written using the R statistical programming language and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Rowe","McNamara"],"fullName":["Keith, A.M.","Henrys, P.A.","Rowe, R.L.","McNamara, N.P.","Keith, A."],"givenName":["A.M.","P.A.","R.L.","N.P.","Aidan"],"identifier":"d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","incomingCitationCount":1,"keyword":["Soil","Modelling","loess","soil","model","R code","local regression"],"keywordsOther":["loess","soil","model","R code","local regression"],"keywordsTheme":["Soil","Modelling"],"licence":"Open government licence","lineage":"The code was written using the R statistical programming language at CEH Lancaster, and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).","metadataDate":"2026-07-25T14:19:39.000Z","orcid":["0000-0001-9619-1320","0000-0003-4758-1482","0000-0002-7554-821X","0000-0002-5143-5819"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-10-19T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","doi:10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478"],"resourceType":"Software","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare…","state":"published","title":"Bootstrapped local regression (LOESS) for soil depth profile comparison","topic":["0/Soil/","0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["ICIMOD","Newcastle University","Loughborough University"],"authorFamilyName":["Maharjan","Joshi","Peppa","Xiao","Liang"],"authorFullName":["Maharjan, S.B.","Joshi, S.","Peppa, M.V.","Xiao, W.","Liang, Q."],"authorGivenName":["S.B.","S.","M.V.","W.","Q."],"authorRor":["https://ror.org/024brep87","https://ror.org/01kj2bm70","https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile","TIFF"],"description":"3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation (DSM) are obtained.","documentType":"GEMINI_DOCUMENT","familyName":["Maharjan","Joshi","Peppa","Xiao","Liang"],"fullName":["Maharjan, S.B.","Joshi, S.","Peppa, M.V.","Xiao, W.","Liang, Q."],"funder":["Natural Environment Research Council"],"givenName":["S.B.","S.","M.V.","W.","Q."],"grant":["NE/S005919/1"],"identifier":"8e483692-3b65-41d2-a7fd-5a3cd589a71c","incomingCitationCount":1,"keyword":["Nepal","Tsho Rolpa","Mapping","bathymetry"],"keywordsOther":["bathymetry"],"keywordsPlace":["Nepal","Tsho Rolpa"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"448 images were captured from a fixed-wing UAV producing topographic maps of Tsho Rolpa lake. Boat-mounted ultra-sonic altimetry data were collected to measure the lake bed topography.","locations":["POLYGON((86.461 27.847, 86.461 27.876, 86.492 27.876, 86.492 27.847, 86.461 27.847))"],"metadataDate":"2026-09-15T08:36:56.000Z","organisation":["ICIMOD","Newcastle University","Loughborough University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e483692-3b65-41d2-a7fd-5a3cd589a71c","10.5285/8e483692-3b65-41d2-a7fd-5a3cd589a71c","doi:10.5285/8e483692-3b65-41d2-a7fd-5a3cd589a71c"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/024brep87","https://ror.org/01kj2bm70","https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"3D digital elevation models of Tsho Rolpa glacier lake, Nepal, generated from unmanned aerial vehicle (UAV) imagery, with a spatial resolution of 10 centimetres. It is combined with bathymetry data so that both the lakebed elevation (DTM) and the lake surface elevation…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Digital elevation models and bathymetry data of Tsho Rolpa glacier lake, Nepal, 2019","topic":["0/Mapping/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset.  A full set of UKBMS monitoring sites is available in a separate dataset requested via the UKBMS website.\nThe UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are year new sites each and a small number where the transect is no longer surveyed.  Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed. \n\nThe majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"funder":["Natural Environment Research Council"],"givenName":["M.","T.","S.","C.","I.","Z.","D.B.","Marc","Tom"],"grant":["NE/R016429/1"],"identifier":"8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","incomingCitationCount":1,"keyword":["Biodiversity","UK-SCAPE","Wales","United Kingdom","Scotland","England","Northern Ireland","lepidopteran","butterfly"],"keywordsOther":["UK-SCAPE","Wales","United Kingdom","Scotland","England","Northern Ireland","lepidopteran","butterfly"],"keywordsTheme":["Biodiversity"],"licence":"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":"2026-07-25T08:40:45.000Z","orcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9","doi:10.5285/8a41e1c8-3018-44f1-8d0a-c1b1ad957fc9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey…","state":"published","supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1973 to 2019","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Cranfield University"],"authorFamilyName":["Beale","Grabowski","Vercruysse"],"authorFullName":["Beale, J.E.P.","Grabowski, R.C.","Vercruysse, K."],"authorGivenName":["J.E.P.","R.C.","K."],"authorOrcid":["0000-0003-4154-8032","0000-0002-0926-1202","0000-0001-9716-5191"],"authorRor":["https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)"],"description":"The data was produced as part of a study to determine human impacts on river planform change within the context of short- and long-term river channel dynamics. To this end, the Himalayan Sutlej-Beas River system was used as a case study to (i) systematically assess changes in river planform characteristics over centennial, annual, seasonal, and episodic timescales; (ii) connect the observed patterns of planform change to human-environment drivers and interactions; and (iii) conceptualise these geomorphic changes in terms of timescale-dependant evolutionary trajectories. The dataset was derived from historic maps (1847-1850) and remote sensing data (Landsat over a 30-year period). It comprises post monsoon season wet river area annually 1989-2018, post monsoon season active gravel bars annually 1989-2018, active channel area (maximum extent between 1989-2018), active channel width annually 1989-2018, active channel width assessed from historic map (1847–1850), and the Anabranching index, annually 1989-2018. The work was supported by the Natural Environment Research Council (Grant NE/S01232X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Beale","Grabowski","Vercruysse"],"fullName":["Beale, J.E.P.","Grabowski, R.C.","Vercruysse, K."],"funder":["Natural Environment Research Council"],"givenName":["J.E.P.","R.C.","K."],"grant":["NE/S01232X/1"],"identifier":"f7aada06-7352-44c0-988e-2f4b31690189","incomingCitationCount":0,"keyword":["Fluvial geomorphology","river planform","Landsat","river","geomorphology","remote sensing"],"keywordsOther":["Fluvial geomorphology","river planform","Landsat","river","geomorphology","remote sensing"],"licence":"Open government licence","lineage":"Wet river area: The annual wet river area was extracted automatically from satellite imagery of Landsat 5 to 8 (1989 to 2018) using average post-monsoon season (October-December) values of the modified Normalized Difference Water Index (mDNWI) to differentiate water and land areas (Huang et al., 2018). The wet river area was extracted from the mNDWI raster images by the threshold mNDWI > 0.15. After manual editing to remove individual water pixels away from the river, the raster images were converted to polygon shapefiles). There is a feature for each year of measurement. The wet river area was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nActive gravel bars: Visible red reflectance from Landsat 5 to 8 (1989 to 2018) was used to identify bare gravel bars showing high reflectance (> 0.16) using average post-monsoon season (October-December) values. Only pixels within a buffer defined by the maximum extent of the wet river area over the observed period were considered. After applying the reflectance threshold to raster images, shapefiles were created to define the active gravel bars as features. There is a feature for each year of measurement.\n\nActive Channel Area: The wet river area shapefiles from individual years 1989-2018 were aggregated together to produce a single feature that delineates areas that were wetted in the post-monsoon season in one or more years between 1989-2018, to estimate the extent of the active channel.\n\nActive channel width: The channel width was considered as the width of the wet area, including any gravel bars where that were surrounded by water. This width was automatically calculated every 2 km and was repeated for wet areas estimates derived from an historic map (“The Trans-Sutluj Division, comprising the districts of Jalundhur, Hoshyarpoor and Kangra”) (Revenue Survey of India, 1852) which was produced between 1847 and 1852.  Width was measured perpendicular to the riverbank. The mean active channel width was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nAnabranching Index (AI): The anabranching index reflects the number of active channels separated by bars or islands, measured in at least 10 cross sections (spaced the width of one braid plain apart). The AI was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nQuality control: Landsat satellite data was used to collect information on spectral surface reflectance.  These data are accompanied by quality assessment bands which were used to select data before processing, particularly with respect to obtaining cloud-free images.  Processing was conducted by the project team, with using and spot validation against aerial satellite photography. Data were checked for errors at all stages by members of the project team at Cranfield University.","locations":["POLYGON((74.957 30.78, 74.957 32.225, 76.706 32.225, 76.706 30.78, 74.957 30.78))"],"metadataDate":"2026-07-25T18:08:58.000Z","orcid":["0000-0003-4154-8032","0000-0002-0926-1202","0000-0001-9716-5191"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7aada06-7352-44c0-988e-2f4b31690189","10.5285/f7aada06-7352-44c0-988e-2f4b31690189","doi:10.5285/f7aada06-7352-44c0-988e-2f4b31690189"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"The data was produced as part of a study to determine human impacts on river planform change within the context of short- and long-term river channel dynamics. To this end, the Himalayan Sutlej-Beas River system was used as a case study to (i) systematically assess…","state":"published","temporalExtentText":"Data collected from 1847 to 1850; Data collected from 1989 to 2018","title":"River planform dynamics in the Beas and Sutlej catchments, India, 1847 and 1989-2018","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Netherlands Institute of Ecology","University of Nottingham"],"authorFamilyName":["McGowan","Salgado"],"authorFullName":["McGowan, S.","Salgado, J."],"authorGivenName":["S.","J."],"authorOrcid":["0000-0003-4034-7140"],"authorRor":["https://ror.org/01g25jp36","https://ror.org/01ee9ar58"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains physical, chemical and biological measurements from the waters of 21 river sites across the Red River Delta in northern Vietnam. The data were collected monthly between February 2018 and January 2020.  The parameters include temperature, dissolved oxygen, salinity, pH, turbidity, conductivity, total dissolved solids, dissolved nitrate, dissolved nitrite, dissolved ammonium, total nitrogen, dissolved phosphate, dissolved silicate, alkalinity, dissolved major ions (sodium, magnesium, potassium, calcium, chloride, sulphate) and a range of chlorophyll and carotenoid pigments from riverine seston.","documentType":"GEMINI_DOCUMENT","familyName":["McGowan","Salgado"],"fullName":["McGowan, S.","Salgado, J."],"funder":["Natural Environment Research Council"],"givenName":["S.","J."],"grant":["NE/P014577/1"],"identifier":"7e35e760-0ca2-4290-8970-464ead03055d","incomingCitationCount":1,"keyword":["Vietnam","Ba Tha","Te Tieu bridge","Que bridge","Do bridge","Doan Vy bridge","Non Nuoc bridge","Do Thong","YEN BAI","Ba Lat","Vu Quang","Mai Linh bridge","Hoa Binh","Son Tay","Cua Day","Hanoi","Gian Khau","Quyet Chien","Nam Dinh","Truc Phuong","Do Muoi","Phung dam","Pollution","Tropical rivers","algal pigments","water chemistry","alga","phosphate","water quality","river"],"keywordsOther":["Tropical rivers","algal pigments","water chemistry","alga","phosphate","water quality","river"],"keywordsPlace":["Vietnam","Ba Tha","Te Tieu bridge","Que bridge","Do bridge","Doan Vy bridge","Non Nuoc bridge","Do Thong","YEN BAI","Ba Lat","Vu Quang","Mai Linh bridge","Hoa Binh","Son Tay","Cua Day","Hanoi","Gian Khau","Quyet Chien","Nam Dinh","Truc Phuong","Do Muoi","Phung dam"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The samples were collected and in situ measurements made by the team members of Do Thu Nga and Trinh Anh Duc at the Institute of Chemistry (ICH) in the Vietnam Academy of Science and Technology (VAST). Water chemistry analyses and subsequent calculations were conducted at ICH-VAST. Pigment analyses were conducted at the University of Nottingham in the School of Geography and data calculations were conducted by researchers at the University of Nottingham. Data was collated by Jorge Salgado at the University of Nottingham. Suzanne McGowan and Jorge Salgado prepared the metadata.","locations":["POLYGON((104.35 19.84, 104.35 22.29, 106.77 22.29, 106.77 19.84, 104.35 19.84))"],"metadataDate":"2026-09-15T08:39:34.000Z","orcid":["0000-0003-4034-7140"],"organisation":["Netherlands Institute of Ecology","University of Nottingham","Netherlands institute of Ecology","NERC EDS Environmental Information Data Centre","Vietnamese Academy of Science and Technology"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7e35e760-0ca2-4290-8970-464ead03055d","10.5285/7e35e760-0ca2-4290-8970-464ead03055d","doi:10.5285/7e35e760-0ca2-4290-8970-464ead03055d"],"resourceType":"Dataset","rightsHolder":["University of Nottingham","Vietnamese Academy of Science and Technology"],"ror":["https://ror.org/01g25jp36","https://ror.org/01ee9ar58","https://ror.org/04xw4m193","https://ror.org/02wsd5p50"],"shortenedDescription":"The dataset contains physical, chemical and biological measurements from the waters of 21 river sites across the Red River Delta in northern Vietnam. The data were collected monthly between February 2018 and January 2020.  The parameters include temperature, dissolved…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Water chemistry from the Red River Delta, Vietnam, 2018 to 2020","topic":["0/Pollution/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["British Geological Survey","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bhattacharyya","Nicholls"],"authorFullName":["Bhattacharyya, A.","Nicholls, D."],"authorGivenName":["A.","D."],"authorOrcid":["0000-0003-3669-0675"],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about planktonic bacterial quantity at the drinking water pumping stations installed in three different aquifer types of England. The aim of data collection was to assess spatial and seasonal variation of groundwater bacterioplankton distribution and their dependence on organic matter, nutrient concentration and local hydrogeology. Untreated groundwater samples were collected from the intergranular sandstone aquifer of English Midlands and East Midlands, the dual porosity chalk aquifer of South East England and the karstic limestone aquifer of the Cotswolds. For temporal variation in each aquifer, the same aquifers were sampled during pre-recharge season in September-October 2022 and post-recharge season in January-February 2023. ","documentType":"GEMINI_DOCUMENT","familyName":["Bhattacharyya","Nicholls"],"fullName":["Bhattacharyya, A.","Nicholls, D."],"funder":["Natural Environment Research Council"],"givenName":["A.","D."],"grant":["NE/S007423/1"],"identifier":"b27ce2ee-89ee-428d-bcd5-4abd97141d62","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","groundwater quality","bacterium","organic carbon"],"keywordsOther":["groundwater quality","bacterium","organic carbon"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Groundwater bacterioplankton concentration distribution in drinking water sources are poorly characterised. Therefore we collected groundwater samples form drinking water pumping stations installed in Permo-Triassic sandstone aquifer of English Midlands and East Midlands, Cretaceous Chalk aquifer of South-East England and Jurassic Limestone aquifer of Cotswold, each with distinct aquifer properties.  From the intergranular sandstone, dual porosity chalk, and karstic limestone aquifers 29 , 32 , and 8  sites respectively were sampled in the pre-recharge and 34, 33, and 8 sites respectively were sampled in the peak-recharge seasons. \nThe bacterioplankton total cell concentration (TCC), high nucleic acid cell percentage (%HNA) and intact bacterial cell percentage (%ICC) were measured used Attune Cytpix Flow Cytometer. The data was collected in triplicate, filtered noisy data by manual inspection, and the current data contains average values from the triplicate and standard deviations of the replicated. Fluorescence organic matter (fOM) loading and fluorescence indices were measured using an Aqualog® fluorimeter (Horiba Scientific, Japan). Raw data was processed and PARAFAC analysis was performed using R package staRdom to find the fOM loading values. Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) concentrations were measured on filtered groundwater samples using an Elementar Vario Cube (Elementar Ananlysensysteme GmbH; Langenselbold, Germany). Borehole depth, perforation depth, were assessed using BGS borehole logs. Confinement and surface water vulnerability interpretations were provided by respective water companies. ","locations":["POLYGON((-3.054 51.169, -3.054 53.226, 0.355 53.226, 0.355 51.169, -3.054 51.169))"],"metadataDate":"2026-07-25T12:54:02.000Z","orcid":["0000-0003-3669-0675"],"organisation":["British Geological Survey","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Lancaster University"],"publicationDate":"2025-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b27ce2ee-89ee-428d-bcd5-4abd97141d62","10.5285/b27ce2ee-89ee-428d-bcd5-4abd97141d62","doi:10.5285/b27ce2ee-89ee-428d-bcd5-4abd97141d62"],"resourceType":"Dataset","rightsHolder":["British Geological Survey","Lancaster University"],"ror":["https://ror.org/04a7gbp98","https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/04f2nsd36"],"shortenedDescription":"This dataset contains information about planktonic bacterial quantity at the drinking water pumping stations installed in three different aquifer types of England. The aim of data collection was to assess spatial and seasonal variation of groundwater bacterioplankton…","state":"published","temporalExtentText":"Data collected from 2022 to 2022; Data collected from 2023 to 2023","title":"Groundwater bacterioplankton, fluorescent organic matter and nutrient concentration of three major aquifers in England, September-October 2022 and January-February 2023","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Swansea University","Unaffiliated"],"authorFamilyName":["Griffin","Joyce"],"authorFullName":["Griffin, J.N.","Joyce, M."],"authorGivenName":["J.N.","M."],"authorOrcid":["0000-0003-3295-6480"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions using 0.5 x 0.5m quadrats distributed along 3 transects at up to 28 sites. Observations were conducted in February 2018, July 2018, and January 2019. The coastline was impacted by Hurricane Irma in October 2017 and the data were collected to look at plant composition in coastal foredunes undergoing recovery from the hurricane. The data were collected as part of NERC grant NE/R016593/1, Resilience of a coastal ecosystem following hurricane Irma.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Joyce"],"fullName":["Griffin, J.N.","Joyce, M.","Griffin, J."],"funder":["Natural Environment Research Council"],"givenName":["J.N.","M.","John"],"grant":["NE/R016593/1"],"identifier":"100af68f-78e2-4b9d-86b9-5777a5ef38fa","incomingCitationCount":0,"keyword":["Recovery","resilience","vegetation","storm","hurricane"],"keywordsOther":["Recovery","resilience","vegetation","storm","hurricane"],"licence":"Open government licence","lineage":"Field surveys were conducted in the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. The coastline was impacted by hurricane Irma in October 2017. At each site, transects perpendicular to the shoreline were positioned at ~50m intervals at locations subjectively judged to be representative of the site. At 1m intervals along each transect, from the crest of the foredune to the upper beach, the percentage cover of each plant species was estimated visually within a 0.5 x 0.5m quadrat. The total percentage cover was the sum of all individual species’ covers within a quadrat.","locations":["POLYGON((-87.364 23.966, -87.364 34.923, -79.014 34.923, -79.014 23.966, -87.364 23.966))"],"metadataDate":"2026-07-24T19:20:42.000Z","orcid":["0000-0003-3295-6480"],"organisation":["Swansea University","Unaffiliated","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/100af68f-78e2-4b9d-86b9-5777a5ef38fa","10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa","doi:10.5285/100af68f-78e2-4b9d-86b9-5777a5ef38fa"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/04xw4m193","https://ror.org/053fq8t95"],"shortenedDescription":"This dataset presents plant percentage cover by species, average plant cover and species richness for sites along the foredune area of sites distributed between Cape Canaveral (Florida) and Tybee Island (Georgia), USA. Plant cover by species was sampled on three occasions…","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Plant composition in coastal foredunes of Florida and Georgia undergoing recovery from hurricane Irma, 2017","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Esri file geodatabase"],"description":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. \n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"60764028-adeb-4316-987a-14b3b21a8f9a","incomingCitationCount":1,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon.\nLCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015. \n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T06:42:38.000Z","orcid":["0000-0002-0459-506X","0000-0003-3947-6463","0000-0003-4283-7725","0000-0001-7038-9881","0000-0003-3591-1034","0000-0002-0394-2998"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60764028-adeb-4316-987a-14b3b21a8f9a","10.5285/60764028-adeb-4316-987a-14b3b21a8f9a","doi:10.5285/60764028-adeb-4316-987a-14b3b21a8f9a"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Northern Ireland.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover…","state":"published","temporalExtentText":"Data collected from 2013 to 2015","title":"Land Cover Map 2015 (vector, N. Ireland)","version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"The river Conwy is the third largest river discharging into the Irish Sea along the North Wales coast. It drains a catchment of 678 km2, the main drainage channel covering a distance of 55 km. The Upper Conwy drains the Migneint (one of the largest blanket bogs in Wales and a major carbon store) and passes through improved grazing land and conifer plantations. The lower Conwy flows through extensive flood plains and meets the tidal limit around 20 km inland from the estuary mouth. Three major tributaries (the Machno, Lledr and Llugwy) join the upper Conwy from the west, and drain many of the high mountains of Snowdonia. The tidal Conwy receives further inflows from a number of smaller tributaries. The catchment is predominantly rural, with sheep farming as the main land-use to the west and mixed dairy, beef and sheep farming to the east. The lowland flood plain area has some arable farming and a large afforested area to the west. The upper catchment is given over mainly to sheep farming. There is extensive semi-natural woodland cover in most sub-catchments including important areas of wet woodland. There are a number of initiatives currently underway in the catchment, including: quantifying surface water quality from a suite of locations on the Conwy, its tributaries and in the estuary; fluvial monitoring characterising the physical behaviour of a peatland headwater stream; characterisation of the physical behaviour of a peatland headwater lake. Carbon flux measurements are ongoing within the Migneint area, supported by continuous weather station and water table measurements and activities to investigate carbon fluxes. The Snowdon/Yr Wyddfa terrestrial and freshwater ECN site is located adjacent to the Conwy catchment. ","documentType":"GEMINI_DOCUMENT","familyName":["Evans"],"fullName":["Evans, C."],"givenName":["Chris"],"identifier":"23ca75d4-9995-4dc3-aa89-51ab218cb352","incomingCitationCount":0,"keyword":["Conwy Catchment","Wales","UK","continuous","weekly","quarterly"],"keywordsOther":["continuous","weekly","quarterly"],"keywordsPlace":["Conwy Catchment","Wales","UK"],"licence":"Non-Open government licence","lineage":"see individual datasets for specific information on lineage","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"metadataDate":"2026-07-24T19:24:00.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/23ca75d4-9995-4dc3-aa89-51ab218cb352"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"The river Conwy is the third largest river discharging into the Irish Sea along the North Wales coast. It drains a catchment of 678 km2, the main drainage channel covering a distance of 55 km. The Upper Conwy drains the Migneint (one of the largest blanket bogs in Wales…","state":"published","title":"Conwy catchment data","version":1.0,"view":["public","asowe"]},{"authorAffiliation":["Botswana Department of Water and Sanitation","University of Aberdeen"],"authorFamilyName":["Petros","Comte"],"authorFullName":["Petros, A.","Comte, J.-."],"authorGivenName":["A."," J.-C."],"authorOrcid":["0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained from manual sampling of 22 boreholes; and (2) higher temporal resolution (5-min time-step) timeseries of water table depth, groundwater temperature and electrical conductivity obtained from automatic dataloggers in 3 of the abovementioned boreholes.","documentType":"GEMINI_DOCUMENT","familyName":["Petros","Comte"],"fullName":["Petros, A.","Comte, J.-.","Comte, J."],"givenName":["A."," J.-C.","Jean-Christophe"],"identifier":"40a80d95-5a8a-4586-aa24-d6c87f9968b6","incomingCitationCount":0,"keyword":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"keywordsOther":["Borehole","Physico-chemical parameters","Timeseries","Temperature","pH","Total dissolved solids","groundwater","electrical conductivity","water table","hydrogeology","physicochemical analysis"],"licence":"Open government licence","lineage":"Manual water table depth measurements during the near-monthly campaigns were done in situ using a standard groundwater dipmeter. Manual groundwater pH, temperature, electrical conductivity and total dissolved solids measurements (Strategy 1) were obtained on pumped grab groundwater samples from borehole taps.\nAutomatic loggers immersed in a selection of three boreholes provided high-temporal resolution (5-min) groundwater level, temperature, electrical conductivity data (Strategy 2). Raw groundwater levels were provided in meter equivalent freshwater head above the logger, later converted in depth in Excel through two sequential processing steps: (1) barometric compensation, from a barometric sensor installed; (2) depth correction using the manual depth measurements (Strategy 1) and applying linear interpolation between measurement dates.\nDatasets were post-process through removal of obvious measurement errors, including human errors when writing up values on field notebook and anomalous datalogger records associated to sensor extraction from the well.\n","locations":["POLYGON((25.25 -25.296, 25.25 -24.677, 25.981 -24.677, 25.981 -25.296, 25.25 -25.296))"],"metadataDate":"2026-07-24T21:14:33.000Z","orcid":["0000-0002-5129-8391"],"organisation":["Botswana Department of Water and Sanitation","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40a80d95-5a8a-4586-aa24-d6c87f9968b6","10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6","doi:10.5285/40a80d95-5a8a-4586-aa24-d6c87f9968b6"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains borehole groundwater levels and physico-chemical parameters for the period May 2017 to June 2018 including; (1) near-monthly measurements of water table depth, groundwater temperature, pH, electrical conductivity and total dissolved solids obtained…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Groundwater monitoring data following 2016-2017 extreme rainfall and floods in the Gaborone catchment, Upper Limpopo basin, Botswana","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Reading","UK Centre for Ecology & Hydrology","University of Eastern Finland"],"authorFamilyName":["Ryalls","Bromfield","Bell","Jasper","Mullinger","Blande","Girling"],"authorFullName":["Ryalls, J.M.W.","Bromfield, L.M.","Bell, L.","Jasper, J.","Mullinger, N.J.","Blande, J.D.","Girling, R.D."],"authorGivenName":["J.M.W.","L.M.","L.","J.","N.J.","J.D.","R.D."],"authorOrcid":["0000-0003-2015-3605","0000-0003-2895-2030","0000-0001-6656-9724","0000-0002-3148-6950","0000-0001-6822-0649","0000-0001-8816-8075"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets contain aphid/parasitoid abundances and glucosinolate concentrations associated with Brassica napus plants within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning farm.","documentType":"GEMINI_DOCUMENT","familyName":["Ryalls","Bromfield","Bell","Jasper","Mullinger","Blande","Girling"],"fullName":["Ryalls, J.M.W.","Bromfield, L.M.","Bell, L.","Jasper, J.","Mullinger, N.J.","Blande, J.D.","Girling, R.D.","Ryalls, J."],"funder":["Natural Environment Research Council"],"givenName":["J.M.W.","L.M.","L.","J.","N.J.","J.D.","R.D.","James"],"grant":["NE/P001971/2","NE/P002404/1"],"identifier":"b28c13f2-7355-4c4b-8c34-10470e1772d1","incomingCitationCount":1,"keyword":["Pollution","Aphid population","Diesel exhaust","Glucosinolates","Parasitoid recruitment","air pollution","ozone","animal population","exhaust gas","Brassica napus","rapeseed"],"keywordsOther":["Aphid population","Diesel exhaust","Glucosinolates","Parasitoid recruitment","air pollution","ozone","animal population","exhaust gas","Brassica napus","rapeseed"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The experiment was conducted within field fumigation rings over two summer seasons (2018 and 2019). Brassica napus plants were separated into four groups of plants: 1) inoculated with 10 Brevicoryne brassicae aphids and netted until harvest, 2) inoculated with 50 B. brassicae aphids and netted until harvest, 3) inoculated with no aphids, and 4) inoculated with 10 B. brassicae aphids then exposed to free-living parasitoids. Aphid populations were collected from plants with pooters and weighed. Parasitoids were counted from sticky traps that were surrounded by aphid-infested and non-infested plants (groups 1-3). Parasitoids were taxonomically classified into two groups (Diaeretiella rapae and other parasitoids). Brassica napus plants were harvested (from groups 2 and 3) and analysed for glucosinolate concentrations. The number of D. rapae parasitoids that emerged from parasitised aphids were counted from sticky traps inside the nets surrounding plants that were previously exposed to free-living parasitoids.","locations":["POLYGON((-0.9 51.48, -0.9 51.5, -0.88 51.5, -0.88 51.48, -0.9 51.48))"],"metadataDate":"2026-07-25T12:54:05.000Z","orcid":["0000-0003-2015-3605","0000-0003-2895-2030","0000-0001-6656-9724","0000-0002-3148-6950","0000-0001-6822-0649","0000-0001-8816-8075"],"organisation":["University of Reading","UK Centre for Ecology & Hydrology","University of Eastern Finland","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b28c13f2-7355-4c4b-8c34-10470e1772d1","10.5285/b28c13f2-7355-4c4b-8c34-10470e1772d1","doi:10.5285/b28c13f2-7355-4c4b-8c34-10470e1772d1"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/05v62cm79"],"shortenedDescription":"These datasets contain aphid/parasitoid abundances and glucosinolate concentrations associated with Brassica napus plants within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning farm.","state":"published","temporalExtentText":"Data collected from 2018 to 2019","title":"Parasitoid abundance, aphid population mass and glucosinolate concentration from experimental ozone and diesel exhaust fumigation of Brassica napus","topic":["0/Pollution/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rennie","Morecroft","Pallett","Schafer","Taylor"],"authorFullName":["Rennie, S.","Morecroft, M.","Pallett, D.","Schafer, S.","Taylor, M."],"authorGivenName":["S.","M.","D."],"authorOrcid":["0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Environmental Change Network (ECN) coarse-grain and woodland protocols were used to assess the vegetation within the deer exclosure plots at the ECN Wytham site.  In the ECN coarse-grain protocol, 2m x 2m plots are randomly selected on the site.  Species presence is recorded in each of the 25 40cm x 40cm cells within the plots.\n  \nIn the ECN woodland protocol seedlings, diameter at breast height (dbh), tree height and dominance are recorded in 10m x 10m plots. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Morecroft","Pallett","Schafer","Taylor"],"fullName":["Rennie, S.","Morecroft, M.","Pallett, D.","Schafer, S.","Taylor, M."],"givenName":["S.","M.","D."],"identifier":"3ff83bf2-4864-4a7c-9ec0-df1811a99a71","incomingCitationCount":0,"keyword":["Wytham","Environmental survey"],"keywordsPlace":["Wytham"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-1.353 51.755, -1.353 51.787, -1.301 51.787, -1.301 51.755, -1.353 51.755))"],"metadataDate":"2026-09-02T15:08:59.000Z","orcid":["0000-0002-0027-0436"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ff83bf2-4864-4a7c-9ec0-df1811a99a71","10.5285/3ff83bf2-4864-4a7c-9ec0-df1811a99a71","doi:10.5285/3ff83bf2-4864-4a7c-9ec0-df1811a99a71"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Environmental Change Network (ECN) coarse-grain and woodland protocols were used to assess the vegetation within the deer exclosure plots at the ECN Wytham site.  In the ECN coarse-grain protocol, 2m x 2m plots are randomly selected on the site.  Species presence…","state":"published","temporalExtentText":"Data collected from 1997 to 2008","title":"Environmental Change Network (ECN)  Wytham deer exclosure experiment: 1997-2008","topic":["0/Environmental survey/"],"version":1.0,"view":["public","dgwr"]},{"availability":"Unknown","catalogue":"eidc","description":"Fish and macroinvertebrate abundance data for English rivers from the 1970s to 2018 combined with physical, chemical, habitat and climatic records. The work was based largely around Environment Agency records and was carried out by UKCEH and University of Hull funded by NERC in the ChemPop project NE/S000100/1.","documentType":"GEMINI_DOCUMENT","identifier":"5ed19178-28f9-4403-95f3-81255f8f3fc9","incomingCitationCount":0,"keyword":["England","river","macroinvertebrates","fish abundance","fish","juvenile fish","larval fish","abundance","population","chemical pollution","water quality monitoring","water quality","water temperature","habitat quality","land cover"],"keywordsOther":["river","macroinvertebrates","fish abundance","fish","juvenile fish","larval fish","abundance","population","chemical pollution","water quality monitoring","water quality","water temperature","habitat quality","land cover"],"keywordsPlace":["England"],"licence":"Non-Open government licence","metadataDate":"2024-09-30T11:44:52.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5ed19178-28f9-4403-95f3-81255f8f3fc9"],"resourceType":"Aggregation","shortenedDescription":"Fish and macroinvertebrate abundance data for English rivers from the 1970s to 2018 combined with physical, chemical, habitat and climatic records. The work was based largely around Environment Agency records and was carried out by UKCEH and University of Hull funded…","state":"published","title":" Integrated abundance and environmental data for river fish and macroinvertebrates in England (1970s-2018)","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Warner","Heeney","Bowen","Crowley"],"authorFullName":["Warner, E.","Heeney, W.","Bowen, D.","Crowley, L."],"authorGivenName":["E.","W.","D.","L."],"authorOrcid":["0000-0003-2236-9725"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations of woodland type (native broadleaf vs sitka spruce), enhanced weathering (with/without basalt addition), and soil microbiome inoculation (with/without soil from mature habitat type), compared to a grassland control treatment. \nThe experiment was established in April 2021 and aims to assess strategies for maximising woodland carbon storage. The biodiversity data from each experimental plot was collected in summer 2023. \n","documentType":"GEMINI_DOCUMENT","familyName":["Warner","Heeney","Bowen","Crowley"],"fullName":["Warner, E.","Heeney, W.","Bowen, D.","Crowley, L."],"funder":["Natural Environment Research Council","Leverhulme Trust"],"givenName":["E.","W.","D.","L."],"grant":["NE/W004976/1"],"identifier":"dea46de1-9072-4342-b944-e485ccc1324a","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","invertebrates","plant biodiversity","soil carbon","enhanced weathering","soil microbiome inoculation","woodland and forest","The Carbon Community"],"keywordsOther":["invertebrates","plant biodiversity","soil carbon","enhanced weathering","soil microbiome inoculation","woodland and forest","The Carbon Community"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The experiment has a randomised blocked design, with 8 blocks of the 9 treatments, giving a total of 72 replicate plots. \nInvertebrate samples were collected from the soil (invertebrates extracted from soil cores using Tullgren funnels), ground layer (pitfall trapping) and tree canopy (beating) in June/July 2023. Invertebrates were identified to a minimum of Order in the lab in autumn/winter 2023. All carabid beetles from the pitfall trap samples were identified to species.\nPlant data was recorded directly in the field in June/July 2023, with percentage cover estimates assigned using the DOMIN scale.\n","locations":["POLYGON((-3.752 52.057, -3.752 52.065, -3.743 52.065, -3.743 52.057, -3.752 52.057))"],"metadataDate":"2026-07-25T14:25:10.000Z","orcid":["0000-0003-2236-9725"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dea46de1-9072-4342-b944-e485ccc1324a","10.5285/dea46de1-9072-4342-b944-e485ccc1324a","doi:10.5285/dea46de1-9072-4342-b944-e485ccc1324a"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations…","state":"published","temporalExtentText":"Data collected from 2021 to 2023","title":"Invertebrate and plant biodiversity data from a woodland creation experiment, collected two years post-establishment, Wales, 2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["The Nature Conservancy"],"authorFamilyName":["Eddy","Welch","Rawes"],"authorFullName":["Eddy, A.","Welch, D.","Rawes, M."],"authorGivenName":["A.","D.","M."],"authorRor":["https://ror.org/00gcd8h55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","documentType":"GEMINI_DOCUMENT","familyName":["Eddy","Welch","Rawes","Wood"],"fullName":["Eddy, A.","Welch, D.","Rawes, M.","Wood, C."],"givenName":["A.","D.","M.","Claire"],"identifier":"bb703113-3428-483c-858a-2a85cafd9821","incomingCitationCount":0,"keyword":["England","Pennines","Moor House","Biodiversity","Mapping","Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsOther":["Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsPlace":["England","Pennines","Moor House"],"keywordsTheme":["Biodiversity","Mapping"],"licence":"Open government licence","lineage":"This map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station (a forerunner of the Centre for Ecology & Hydrology). Note that the reserve has been extended to Upper Teesdale, however this map covers the Moor House area only. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). The paper map was digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s. See online Supporting Information for further details.","locations":["POLYGON((-2.53 54.59, -2.53 54.71, -2.3 54.71, -2.3 54.59, -2.53 54.59))"],"metadataDate":"2026-07-25T12:59:06.000Z","organisation":["The Nature Conservancy","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"1968-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1392911352060","CEH:EIDC::1392911352060","https://catalogue.ceh.ac.uk/id/bb703113-3428-483c-858a-2a85cafd9821","10.5285/bb703113-3428-483c-858a-2a85cafd9821","doi:10.5285/bb703113-3428-483c-858a-2a85cafd9821"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00gcd8h55","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","state":"published","supplementalDescription":["Eddy, A., Welch, D., & Rawes, M. (1968). The vegetation of the Moor House National Nature Reserve in the northern Pennines, England. Plant Ecology (Vegetation), 16(5), 239-284"],"temporalExtentText":"Data collected from 1960 to 1965","title":"Vegetation map of the Moor House National Nature Reserve ","topic":["0/Biodiversity/","0/Mapping/"],"version":1.0,"view":["public","rjsc"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=3"}