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Ten fixed sampling points on the estuary were surveyed on each boat based campaign.…","state":"published","title":"Greenhouse gas and water chemistry data measured across the Tay estuary, Scotland, from 2009-2011","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Khamis","Smith","Fry","Evans"],"authorFullName":["Khamis, D.","Smith, R.","Fry, M.","Evans, J."],"authorGivenName":["D.","R.","M.","J."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset contains model outputs of daily mean volumetric water content and topsoil temperature at 1 km resolution across the UK mainland for the years 1965-2018. The outputs are generated using neural network models trained on COSMOS-UK (cosmic-ray soil moisture) observational data. The data are presented in monthly NetCDF files on the British National Grid.","documentType":"GEMINI_DOCUMENT","familyName":["Khamis","Smith","Fry","Evans"],"fullName":["Khamis, D.","Smith, R.","Fry, M.","Evans, J."],"funder":["Natural Environment Research Council"],"givenName":["D.","R.","M.","J.","Doran"],"identifier":"5100e84a-6af9-419b-b4b6-4a5df13b1aec","incomingCitationCount":1,"keyword":["COSMOS","Soil","land surface temperature","soil temperature","soil moisture"],"keywordsOther":["land surface temperature","soil temperature","soil moisture"],"keywordsProject":["COSMOS"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The driving meteorology used to produce the outputs were from the CHESS-met dataset. Specifically, the inputs required to generate topsoil temperature outputs are: current day and previous day driving meteorology (temperature, total precipitation, longwave radiation, shortwave radiation, and the sunlight-hours average shortwave radiation); soil type vector (normalized ratios of five classes: sand, silt, clay, chalk, peat); soil organic carbon; bulk density of soil; land cover vector; elevation. There is an optional input of the MODIS 1 km Land Surface Temperature satellite product Day and/or Night values. The output of the topsoil temperature model is used as input to the soil moisture model.\n\nThe inputs required for the soil moisture model are: daily driving meteorology (temperature, pressure, total precipitation, relative humidity, longwave radiation, shortwave radiation, wind speed, and the sunlight-hours average shortwave radiation); soil type vector (normalized ratios of five classes: sand, silt, clay, chalk, peat); soil organic carbon; bulk density of soil; base flow index from the hydrology of soil types (BFIHOST); land cover vector; soil temperature; elevation. There is an optional input of the daily 1 km Soil Water Index satellite product from Copernicus.\n\nVolumetric water content values in the COSMOS-UK data (TDT point probes and neutron sensor) that were higher than 90% were removed from the training set. The COSMOS-UK site Tadham Moor was removed from the training set after visual inspection of the TDT and neutron sensor data.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-11T08:34:16.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5100e84a-6af9-419b-b4b6-4a5df13b1aec","10.5285/5100e84a-6af9-419b-b4b6-4a5df13b1aec","doi:10.5285/5100e84a-6af9-419b-b4b6-4a5df13b1aec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains model outputs of daily mean volumetric water content and topsoil temperature at 1 km resolution across the UK mainland for the years 1965-2018. The outputs are generated using neural network models trained on COSMOS-UK (cosmic-ray soil moisture)…","state":"published","title":"Modelled daily soil moisture and soil temperature at 1km resolution across the UK mainland, 1965-2018","topic":["0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"availability":"Unknown","catalogue":"eidc","description":"This series of datasets consists of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from Countryside Survey 2007. Trees were mapped in 569 1km sample squares across Britain using a stratified random sampling system based on the ITE Land Classification. Mean national estimates were produced by scaling up from the sample data.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell"],"fullName":["Maskell, L.C."],"givenName":["L.C."],"identifier":"1bc1abdd-1d6c-4e50-9d21-a94da82c17e7","incomingCitationCount":0,"keyword":["Great Britain","Biodiversity","Fraxinus excelsior"],"keywordsOther":["Fraxinus excelsior"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Biodiversity"],"licence":"Non-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((-7.95 49.83, -7.95 60.96, 2.5 60.96, 2.5 49.83, -7.95 49.83))"],"metadataDate":"2026-07-24T19:16:14.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-08-30T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1377860425245","CEH:EIDC::1377860425245","https://catalogue.ceh.ac.uk/id/1bc1abdd-1d6c-4e50-9d21-a94da82c17e7"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This series of datasets consists of mean estimate distribution maps of ash trees (Fraxinus excelsior) across Great Britain. It includes ash trees in areas less than half a hectare, ash trees in woody linear features and individual ash trees. The data are derived from…","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":["Information regarding Countryside Survey monitoring project"],"title":"Ash tree distribution in Great Britain 2007","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Manchester"],"authorFamilyName":["Wright"],"authorFullName":["Wright, R."],"authorGivenName":["R. "],"authorOrcid":["0000-0002-8095-8256"],"authorRor":["https://ror.org/027m9bs27"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes the composition of a co-evolving community (as colony forming units) over a 30-transfer selection experiment in soil microcosms. The community consists of Pseudomonas fluorescens SBW25 + Pseudomonas putida KT2440 + plasmid pQBR57. ","documentType":"GEMINI_DOCUMENT","familyName":["Wright"],"fullName":["Wright, R."],"funder":["Natural Environment Research Council"],"givenName":["R. "],"grant":["NE/R008825/2"],"identifier":"9da9bf05-fdbf-41f9-8591-1a4af9b84000","incomingCitationCount":0,"keyword":["co-evolution","plasmid compensation","SBW25","pQBR57"],"keywordsOther":["co-evolution","plasmid compensation","SBW25","pQBR57"],"licence":"Open government licence","lineage":"This is count data collected by plating bacterial populations on selective agar. File includes counts, dilution factors and volumes used to calculate density as colony forming units per ml (CFU/ml).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:24:17.000Z","orcid":["0000-0002-8095-8256"],"organisation":["University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9da9bf05-fdbf-41f9-8591-1a4af9b84000","10.5285/9da9bf05-fdbf-41f9-8591-1a4af9b84000","doi:10.5285/9da9bf05-fdbf-41f9-8591-1a4af9b84000"],"resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes the composition of a co-evolving community (as colony forming units) over a 30-transfer selection experiment in soil microcosms. The community consists of Pseudomonas fluorescens SBW25 + Pseudomonas putida KT2440 + plasmid pQBR57. ","state":"published","title":"Population dynamics of evolving bacterial populations in soil, 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":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2019 20m classified pixels dataset.  All further LCM2019 datasets for Northern Ireland are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (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":"6e67cba0-c872-4146-bc09-d6c98731f3b3","incomingCitationCount":1,"keyword":["Northern Ireland","Land cover","Mapping","Vector","LCM2019","UK-SCAPE"],"keywordsOther":["Vector","LCM2019","UK-SCAPE"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite 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":"2026-07-25T06:49:24.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e67cba0-c872-4146-bc09-d6c98731f3b3","10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3","doi:10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2019 (land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Bell","Davies","Rhodes-Smith"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Rhodes-Smith, M.D."],"authorGivenName":["Ponnambalam","Victoria A","Helen N.","Mark D."],"authorOrcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0001-5256-1107"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"The datasets provide Grid-to-Grid (G2G) hydrological model estimates of daily mean river flow (m3s-1) on a 1 km x 1 km grid. The river flows provided here are generated using the G2G model for Great Britain driven by observation-based meteorological data. They provide spatially consistent simulations of natural and anthropogenically influenced daily mean river flows. The natural flows are for the period 1st January 1961 to 31st December 2021, the observed-anthropogenically influenced flows are for 1st January 1999 to 31st December 2014 and the mean-anthropogenically influenced flows are for 1st January 1961 to 31st December 2021.\n\nThe G2G hydrological model spatial river flow simulations are available as follows: \n(a) Natural river flows across the whole of Great Britain, excluding Orkney and Shetland islands \n(b) Anthropogenically influenced river flows across the whole of England","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Rhodes-Smith"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Rhodes-Smith, M.D."],"funder":["Natural Environment Research Council","UK Department for Energy Security and Net Zero (DESNZ)"],"givenName":["Ponnambalam","Victoria A","Helen N.","Mark D.","P."],"grant":["NE/X019063/1","NE/L010208/1","NE/R016429/1"],"identifier":"d0588746-9632-4c75-94f2-67e20ba34cad","incomingCitationCount":0,"keyword":["Hydrology","abstractions","anthropogenic influence","discharges","hands-off-flow","hydrology","river flows"],"keywordsOther":["abstractions","anthropogenic influence","discharges","hands-off-flow","hydrology","river flows"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The Grid-to-Grid model (G2G) is a grid-based, spatially distributed hydrological model which has recently been enhanced to take account of recorded monthly abstractions and annual discharges. While in practice, hydrological modelling has been undertaken for mainland Britain, model estimates for anthropogenically influenced catchments are only available for English catchments, albeit with a modest overlap of the Welsh border. This is because, to date, abstraction and discharge data are only available for England.","locations":["POLYGON((-7.487 49.806, -7.487 58.704, 2.072 58.704, 2.072 49.806, -7.487 49.806))"],"metadataDate":"2026-07-25T14:17:14.000Z","orcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0001-5256-1107"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d0588746-9632-4c75-94f2-67e20ba34cad","10.5285/d0588746-9632-4c75-94f2-67e20ba34cad","doi:10.5285/d0588746-9632-4c75-94f2-67e20ba34cad"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The datasets provide Grid-to-Grid (G2G) hydrological model estimates of daily mean river flow (m3s-1) on a 1 km x 1 km grid. The river flows provided here are generated using the G2G model for Great Britain driven by observation-based meteorological data. They provide…","state":"published","supplementalDescription":["Rameshwaran, P., Bell, V. A., Brown, M. J., Davies, H. N., Kay, A. L., Rudd, A. C., & Sefton, C. (2021). Use of Abstraction and Discharge Data to Improve the Performance of a National‐Scale Hydrological Model. Water Resources Research, 58(1).","Rameshwaran, P., Bell, V. A., Davies, H. N., Sadler, P., Beverton, A., & Thornton, R. (2025). DATA DOCUMENTATION - Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014). Zenodo.","Rameshwaran, P., Bell, V. A., Davies, H. N., Sadler, P., Beverton, A., Thornton, R., & Rhodes-Smith, M. (2025). Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014) [Dataset]. NERC EDS Centre for Environmental Data Analysis.","Rameshwaran, P., Bell, V. A., Davies, H. N., Baron, H., Keller, V., & Hannaford, J. (2025). DATA DOCUMENTATION - CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080). Zenodo.","Rameshwaran, P., Bell, V. A., Davies, H. N., Baron, H., Keller, V., Hannaford, J., & Rhodes-Smith, M. (2025). CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080) [Dataset]. NERC EDS Centre for Environmental Data Analysis."],"title":"Grid-to-Grid model simulations of daily anthropogenically influenced river flows for England and natural flows for Great Britain, 1961-2021","topic":["0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Scottish Crop Research Institute","University of Aberdeen","Cranfield University"],"authorFamilyName":["Kuan","Fenwick","Glover","Griffiths"," Ritz"],"authorFullName":["Kuan, H.L.","Fenwick, C.","Glover, L.A.","Griffiths, B.S."," Ritz, K."],"authorGivenName":["H.L. ","C.","L.A. ","B.S.","K."],"authorRor":["https://ror.org/016476m91","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data describes resilience in microbial communities in samples taken at the Sourhope experimental site in 2001 by the Scottish Crop Research Institute, the University of Aberdeen and Cranfield University.  Data were collected during a project funded under the NERC Soil Biodiversity Programme.\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Kuan","Fenwick","Glover","Griffiths"," Ritz","Sier"],"fullName":["Kuan, H.L.","Fenwick, C.","Glover, L.A.","Griffiths, B.S."," Ritz, K.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["H.L. ","C.","L.A. ","B.S.","K.","Andy"],"identifier":"7af2f732-f8a5-4a87-bcc0-dae54323efd0","incomingCitationCount":0,"keyword":["Sourhope","Scottish borders","Biodiversity","Soil","Soil properties ","Respiration","Copper toxicity","Microbial community structure ","Denaturing gradient gel electrophoresis","DGGE","soil","copper","DNA","respiration"],"keywordsOther":["Soil properties ","Respiration","Copper toxicity","Microbial community structure ","Denaturing gradient gel electrophoresis","DGGE","soil","copper","DNA","respiration"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.237 55.468, -2.237 55.475, -2.222 55.475, -2.222 55.468, -2.237 55.468))"],"metadataDate":"2026-07-25T06:56:34.000Z","organisation":["Scottish Crop Research Institute","University of Aberdeen","Cranfield University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7af2f732-f8a5-4a87-bcc0-dae54323efd0","10.5285/7af2f732-f8a5-4a87-bcc0-dae54323efd0","doi:10.5285/7af2f732-f8a5-4a87-bcc0-dae54323efd0"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/05cncd958","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data describes resilience in microbial communities in samples taken at the Sourhope experimental site in 2001 by the Scottish Crop Research Institute, the University of Aberdeen and Cranfield University.  Data were collected during a project funded under…","state":"published","supplementalDescription":["Kuan, H. L., Fenwick, C., Glover, L. A., Griffiths, B. S., & Ritz, K. (2006). Functional resilience of microbial communities from perturbed upland grassland soils to further persistent or transient stresses. Soil Biology and Biochemistry, 38(8), 2300-2306. https://doi.org/10.1016/j.soilbio.2006.02.013","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. "],"supplementalName":[" ","Soil Biodiversity website "],"title":"Soil microbial community resilience data from Sourhope field experiment site, Scotland, 2001 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (length) data for landscape linear features across Great Britain in 1998. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 569 km squares, surveyed for the Countryside Survey long term monitoring project (note: not all surveyed squares contained linear features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. 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 linear features, habitat areas, vegetation species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Howard","Maskell","Norton","Scott","Smart","Stuart","Watkins","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Howard, D.C.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Watkins, J.W.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","J.W. ","C.M."],"identifier":"8aaf6f8c-c245-46bb-8a2a-f0db012b2643","incomingCitationCount":1,"keyword":["Great Britain","Countryside Survey","fences","walls","tree lines","grass strips","banks","hedges","woody linear features"],"keywordsPlace":["Great Britain"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["fences","walls","tree lines","grass strips","banks","hedges","woody linear features"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1998 and 1999 by professional surveyors using standard methodologies (refer to the online documentation). Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in 1998-2000 by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:41:00.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8aaf6f8c-c245-46bb-8a2a-f0db012b2643","10.5285/8aaf6f8c-c245-46bb-8a2a-f0db012b2643","doi:10.5285/8aaf6f8c-c245-46bb-8a2a-f0db012b2643"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for landscape linear features across Great Britain in 1998. Data are presented as lengths of different feature categories (such as fences, walls and lines of trees), with associated species attributes, from 569 km squares,…","state":"published","title":"Landscape linear feature data 1998 [Countryside Survey]","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Northumbria University","Universidade Federal de Minas Gerais","Universidade Federal do Acre","University of Brasília","University of Reading","Universidade Federal de Mato Grosso do Sul"],"authorFamilyName":["Whitney","Loughlin","Neves","D’Apolito","Assine","Mayle","Silva"],"authorFullName":["Whitney, B.S.","Loughlin, N.J.D.","Neves, D.M.","D’Apolito, C.","Assine, M.L.","Mayle, F.E.","Silva, A."],"authorGivenName":["Bronwen S.","N.J.D.","D.M.","C.","M.L.","F.E.","A."],"authorOrcid":["0000-0002-2329-9645","0000-0003-2205-044X","0000-0002-0855-4169","0000-0003-1602-0201","0000-0002-3097-5832","0000-0001-9208-0519","0000-0002-0630-9768"],"authorRor":["https://ror.org/049e6bc10","https://ror.org/0176yjw32","https://ror.org/05hag2y10","https://ror.org/05v62cm79","https://ror.org/0366d2847"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data include four charcoal concentration datasets derived from radiocarbon-dated lake sediments in the Brazilian Pantanal, from which regional fire histories can be inferred over the last few millennia. Each dataset provides raw counts of charcoal fragments > 125 um calculated per cubic centimetre of sediment. Samples measuring 0.5 to 1.5 cc were analysed at each 1-cm depth. Contained within each data sheet are radiocarbon dates for several horizons in the lake sediment for the derivation of age-depth models for a chronological framework for each record.","documentType":"GEMINI_DOCUMENT","familyName":["Whitney","Loughlin","Neves","D’Apolito","Assine","Mayle","Silva"],"fullName":["Whitney, B.S.","Loughlin, N.J.D.","Neves, D.M.","D’Apolito, C.","Assine, M.L.","Mayle, F.E.","Silva, A."],"funder":["Natural Environment Research Council"],"givenName":["Bronwen S.","N.J.D.","D.M.","C.","M.L.","F.E.","A."],"grant":["NE/T004525/1"],"identifier":"56915f15-46b5-4693-8737-28c985f27f80","incomingCitationCount":0,"keyword":["Palaeofire","Fire history","Palaeoenvironmental change","Pantanal","palaeoecology","fire","charcoal"],"keywordsOther":["Palaeofire","Fire history","Palaeoenvironmental change","Pantanal","palaeoecology","fire","charcoal"],"licence":"Open government licence","lineage":"Sediment samples were extracted at a 1 cm resolution through the studied cores and their volume measured using water displacement. Clay rich sediments (LM and LC) were treated with 200 ml of 7 % sodium hexametaphosphate (Na6P6O18) and organic rich sediments (MIM) in 200 ml of 10 % potassium hydroxide (KOH). Samples were deflocculated on a hot plate for 30 minutes at 80 oC. Residues from the organic rich sediments were additionally washed in deionized water and placed in 7 % hydrogen peroxide (H2O2) for 24 hours at room temperature. The residues were sieved at 125 μm and 250 μm. Residues were counted at 125 μm and 250 μm under a low powered microscope in a bogorov tray. Raw charcoal counts were converted to a concentration (particles cm3).  Sediment samples were obtained from discrete horizons from each core and sent for radiocarbon dating at commercial laboratory facilities.","locations":["POLYGON((-64.248 -18.238, -64.248 -4.464, -50.01 -4.464, -50.01 -18.238, -64.248 -18.238))"],"metadataDate":"2026-07-24T23:05:48.000Z","orcid":["0000-0002-2329-9645","0000-0003-2205-044X","0000-0002-0855-4169","0000-0003-1602-0201","0000-0002-3097-5832","0000-0001-9208-0519","0000-0002-0630-9768"],"organisation":["Northumbria University","Universidade Federal de Minas Gerais","Universidade Federal do Acre","University of Brasília","University of Reading","Universidade Federal de Mato Grosso do Sul","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/56915f15-46b5-4693-8737-28c985f27f80","10.5285/56915f15-46b5-4693-8737-28c985f27f80","doi:10.5285/56915f15-46b5-4693-8737-28c985f27f80"],"resourceType":"Dataset","rightsHolder":["Northumbria University"],"ror":["https://ror.org/049e6bc10","https://ror.org/0176yjw32","https://ror.org/05hag2y10","https://ror.org/05v62cm79","https://ror.org/0366d2847","https://ror.org/04xw4m193"],"shortenedDescription":"Data include four charcoal concentration datasets derived from radiocarbon-dated lake sediments in the Brazilian Pantanal, from which regional fire histories can be inferred over the last few millennia. Each dataset provides raw counts of charcoal fragments > 125 um…","state":"published","title":"Charcoal concentrations from radiocarbon-dated lake sediments in the Brazilian Pantanal","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of York","University of Gothenburg"],"authorFamilyName":["Keane","Toet","Weslien","Klemedtsson","Stockdale","Ineson"],"authorFullName":["Keane, J.B.","Toet, S.","Weslien, P.","Klemedtsson, L.","Stockdale, J.","Ineson, P."],"authorGivenName":["J.B.","S.","P.","L.","J."],"authorOrcid":["0000-0001-7614-8018","0000-0001-7657-4607","0000-0001-6626-2925","0000-0002-1122-0717","0000-0001-7248-0451","0000-0002-5194-0022"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Net ecosystem exchange and methane fluxes were measured from a hemi-boreal ombrotrophic fen in Southern Sweden. An automated chamber system, SkyLine2D, was used to measure the fluxes  near-continuously from August 2017 to September 2019. Four ecotypes were identified: sphagnum (Sphagnum spp), eriophorum, heather and water, to assess how these different ecotypes would respond to drought. The 2018 drought allowed comparison of fluxes between drought and non-drought years (May to September), and their recovery the following year. \n","documentType":"GEMINI_DOCUMENT","familyName":["Keane","Toet","Weslien","Klemedtsson","Stockdale","Ineson"],"fullName":["Keane, J.B.","Toet, S.","Weslien, P.","Klemedtsson, L.","Stockdale, J.","Ineson, P."],"funder":["Natural Environment Research Council","EU Cost Action","Swedish Infrastructure for Ecosystem Science "],"givenName":["J.B.","S.","P.","L.","J.","Sylvia"],"grant":["NE/P008690/1","COST-STSM-ECOST-STSM-ES1308-080216-068955"],"identifier":"d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f","incomingCitationCount":0,"keyword":["Climate and climate change","ombrotrophic fen","hemi-boreal","Peatland","vegetation","greenhouse gas","carbon dioxide","carbon","methane","peat","fen","drought"],"keywordsOther":["ombrotrophic fen","hemi-boreal","Peatland","vegetation","greenhouse gas","carbon dioxide","carbon","methane","peat","fen","drought"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Near continuous methane and CO2 fluxes measured along a transect on an ombrotrophic fen in Southern Sweden from August 2017-September 2019 using an automated greenhouse gas flux platform SkyLine2D.  \nThe impacts of drought (in 2018 the mire experienced drought conditions) and different vegetation types (sedge, heather, sphagnum or open water; 6 replicated for each) on the fluxes were determined.\nFluxes were measured within collars of 20-cm diameter, 4-min at each collar.   CH4 and CO2 fluxes were detected using  a Licor infrared gas analyser (IRGA, LI-8100, Licor, NE, USA) to measure CO2 and a cavity ringdown laser (CRD, LGR U-GGA-91, Los Gatos Research, CA USA) to measure both CO2 and CH4. \n Fluxes of CO2 and CH4 were calculated using linear regression; a deadband of at least 20 seconds was allowed for the chamber headspace to mix and a window of 90 seconds was used for CO2 and 240 seconds used for CH4. Fluxes were adjusted for area, air temperature and gas volume. Further adjustment was made to the CO2 fluxes during daylight hours based upon the light response curve to account for attenuation of light by the chamber material, after.\nAll data manipulation and analyses were carried out using SAS 9.4 (SAS Institute, CA 161 USA). \nGHG flux data (for both CO2 and CH4) were quality controlled in the first instance using the R2 statistic of the CO2 flux measurement, with values < 0.9 discarded. \nMeasurements passing this threshold were then assessed using the output statistics from the regression calculation of CH4 fluxes, where regressions with a P value < 0.05 were accepted, while those that did not were treated as zero flux. Data outliers were defined as those ± 1.96 standard errors of the mean flux value for each collar and were excluded from the analyses. \nData were further filtered to account for overestimation of fluxes during still atmospheric night-time conditions. Using the procedure fluxes where the mean CO2 concentration for the 20 second period before and after chamber closure dropped by more than 25 ppm where discounted. \n","locations":["POLYGON((12 58.3, 12 58.4, 12.2 58.4, 12.2 58.3, 12 58.3))"],"metadataDate":"2026-07-25T14:21:36.000Z","orcid":["0000-0001-7614-8018","0000-0001-7657-4607","0000-0001-6626-2925","0000-0002-1122-0717","0000-0001-7248-0451","0000-0002-5194-0022"],"organisation":["University of York","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f","10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f","doi:10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f"],"resourceType":"Dataset","rightsHolder":["University of York"],"ror":["https://ror.org/04xw4m193","https://ror.org/04m01e293"],"shortenedDescription":"Net ecosystem exchange and methane fluxes were measured from a hemi-boreal ombrotrophic fen in Southern Sweden. An automated chamber system, SkyLine2D, was used to measure the fluxes  near-continuously from August 2017 to September 2019. Four ecotypes were identified:…","state":"published","title":"CO2 and CH4 fluxes measured using static chamber technique from a hemi-boreal ombrotrophic fen in drought and non-drought years, Mycklemossen, Sweden, 2017-2019","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","description":"Datasets within this series relate to a mass mortality event of Saiga antelope in Kazakhstan in 2015. Saiga antelope are susceptible to mass mortality events, the most severe of which tend to be caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense groups. The Betpak-dala population is one of three in Kazakhstan, located in the central provinces of the country.\nMost of the datasets were compiled during 2015-2016. Climate data were collated for the period from 1979 to 2016.\n","documentType":"GEMINI_DOCUMENT","identifier":"50f39796-d0cd-4a3d-9179-0444b1e7d7fe","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-24T23:03:02.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/50f39796-d0cd-4a3d-9179-0444b1e7d7fe"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Datasets within this series relate to a mass mortality event of Saiga antelope in Kazakhstan in 2015. Saiga antelope are susceptible to mass mortality events, the most severe of which tend to be caused by haemorrhagic septicaemia following infection by the bacteria…","state":"published","title":"Saiga antelope mortality in Kazakhstan 2015","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Lactuca: Environmental Data Analyses and Modelling","Bangor University","University of Southampton","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Hooftman","Willcock","Eigenbrod","Bullock"],"authorFullName":["Hooftman, D.A.P.","Willcock, S.","Eigenbrod, F.","Bullock, J.M."],"authorGivenName":["D.A.P.","S.","F.","J.M."],"authorOrcid":["0000-0001-9835-6897","0000-0001-6704-3548","0000-0001-8982-824X","0000-0003-0529-4020"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","TIFF"],"description":"This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically supplied as polygons. Individual model outputs are taken from previously published research. \n\nMaking ensembles results in a smoothing effect whereby the individual model uncertainties are cancelled out and a signal of interest is more likely to emerge. Included ecosystem service models were: InVEST, Co$ting Nature, WaterWorld, Monetary value benefits transfer, LPJ-GUESS and Scholes models. Ensemble outputs have been normalised, therefore these ensembles project relative levels of service across the full area and can be used, for example, for optimisation or assignment of most important or sensitive areas.\n\nThe work was completed under the \"EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models\" project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Willcock","Eigenbrod","Bullock"],"fullName":["Hooftman, D.A.P.","Willcock, S.","Eigenbrod, F.","Bullock, J.M.","Hooftman, D."],"funder":["Natural Environment Research Council"],"givenName":["D.A.P.","S.","F.","J.M.","Danny"],"grant":["NE/L001322/1","NE/T00391X/1"],"identifier":"11689000-f791-4fdb-8e12-08a7d87ad75f","incomingCitationCount":0,"keyword":["Africa","Ecosystem services","ensemble modelling","non-timber forest products","poverty alleviation","carbon stock","grazing","natural capital","poverty","sustainable development","water supply"],"keywordsOther":["ensemble modelling","non-timber forest products","poverty alleviation","carbon stock","grazing","natural capital","poverty","sustainable development","water supply"],"keywordsPlace":["Africa"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"The individual modelled ecosystem service outputs underlying the ensemble calculations originate from the\"WISER: Which Ecosystem Service Models Best Capture the Needs of the Rural Poor\" project (NE/L001322/1), funded by the UK Ecosystem Services for Poverty Alleviation programme (ESPA; www.espa.ac.uk). Validations of individual models and their correlation to model complexity have been published as Willcock et al. 2019: A continental-scale validation of ecosystem service models. Ecosystems, 22: 1902-1917. \n\nAmong contributing model outputs means and median values were estimated per 1-km2 gridcell or per polygon for water. The standard error of mean is calculated from the standard deviation corrected with the amount of contributing models per cell. All underlying individual models have been normalised against the 95% percentile prior to calculations. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, and their validation refer to Willcock et al. (2019) and the supporting documentation.","locations":["POLYGON((-17.688 -35.344, -17.688 18.448, 52.273 18.448, 52.273 -35.344, -17.688 -35.344))"],"metadataDate":"2026-07-24T19:07:43.000Z","orcid":["0000-0001-9835-6897","0000-0001-6704-3548","0000-0001-8982-824X","0000-0003-0529-4020"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","Bangor University","University of Southampton","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11689000-f791-4fdb-8e12-08a7d87ad75f","10.5285/11689000-f791-4fdb-8e12-08a7d87ad75f","doi:10.5285/11689000-f791-4fdb-8e12-08a7d87ad75f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the gridded estimates per 1 km2 for mean and median ensemble outputs from 4-6 individual ecosystem service models for Sub-Saharan Africa, for above ground Carbon stock, firewood use, charcoal use and grazing use. Water use and supply are identically…","state":"published","supplementalDescription":["Willcock, S., Hooftman, D.A.P., Balbi, S., Blanchard, R., Dawson, T.P., Oâ€™Farrell, P.J., â€¦ Bullock, J.M. (2019). A Continental-Scale Validation of Ecosystem Service Models. Ecosystems, 22(8), 1902â€“1917."],"title":"Ensemble outputs from Ecosystem Service models for water supply, aboveground carbon storage and use of water, grazing, charcoal and firewood by beneficiaries in sub-Saharan Africa","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University College Dublin","UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Pschenyckyj","Evans","Shaw","Griffiths","Clark"],"authorFullName":["Pschenyckyj, C.M.","Evans, C.D.","Shaw, L.J.","Griffiths, R.I.","Clark, J.M."],"authorGivenName":["C.M.","C.D.","L.J.","R.I.","J.M."],"authorOrcid":["0000-0003-0522-9631","0000-0002-4985-7078","0000-0002-0412-8824"],"authorRor":["https://ror.org/05m7pjf47","https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline.\n\nEach treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time).\n\nThe data includes chemistry data (pH, EC, DOC, SUVA254) for a variety of sample types (pore water from peat and organic soil (monthly), decomposing surface litter extracts (quarterly), and soil extracts (quarterly). \nLitter bag data includes mass loss of litter following a period of incubation in soil (3, 6 9 or 12 months), and chemistry of litter extracts (pH, EC, DOC, total nitrogen, SUVA254). There are up to four sub-replications per treatment replication. \n\nData is also presented for the Tea Bag Index, including kTBI (decomposition rate) and S (stabilisation factor). There are up to three sub-replications per treatment replication.","documentType":"GEMINI_DOCUMENT","familyName":["Pschenyckyj","Evans","Shaw","Griffiths","Clark"],"fullName":["Pschenyckyj, C.M.","Evans, C.D.","Shaw, L.J.","Griffiths, R.I.","Clark, J.M.","Pschenyckyj, C."],"funder":["Natural Environment Research Council"],"givenName":["C.M.","C.D.","L.J.","R.I.","J.M.","Catharine"],"identifier":"3bd6397d-f0db-40c4-885a-95ca280a6683","incomingCitationCount":0,"keyword":["Soil","Peatland","Organic soil","Podzol","Tea bag index","Litter bag","peat","acidification","soil"],"keywordsOther":["Peatland","Organic soil","Podzol","Tea bag index","Litter bag","peat","acidification","soil"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data was collected from an acidity manipulation field experiment which took place between 2015-2016 at two locations in the UK; Migneint in North Wales (3°48.8′ W, 52°59.6′ N), and Peaknaze in Northern England (1°54.5′ W, 53°28.3′ N). Water samples were filtered and stored at fridge temperature in amber glass bottles until analysis. Sample analysis took place within 1 week of collection at the Centre for Ecology and Hydrology (Bangor).\n\nLitter and tea bag samples were stored at fridge temperature and processed within one month of collection. Analysis took place at  the Centre for Ecology and Hydrology (Bangor). Water extracts were filtered, stored in amber glass bottles at fridge temperature and analysed within one week of the extraction.\n\nAll instruments measuring water chemistry were calibrated prior to the analysis, and runs included calibration standards and check solutions of known concentrations. Checks were include at the start, middle and end of the runs to check for drifts in measurements. Aquacheck solutions were also included for QA purposes. ","locations":["POLYGON((-4.507 52.913, -4.507 54.64, -2.769 54.64, -2.769 52.913, -4.507 52.913))"],"metadataDate":"2026-07-24T20:40:16.000Z","orcid":["0000-0003-0522-9631","0000-0002-4985-7078","0000-0002-0412-8824"],"organisation":["University College Dublin","UK Centre for Ecology & Hydrology","University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3bd6397d-f0db-40c4-885a-95ca280a6683","10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683","doi:10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683"],"resourceType":"Dataset","rightsHolder":["University College Dublin"],"ror":["https://ror.org/05m7pjf47","https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline.\n\nEach treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time).\n\nThe data includes…","state":"published","title":"Acid manipulation field experiment in North Wales and the Peak District (2015-2016): Litter decomposition, Tea Bag Index and pore water chemistry data","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bell","Davies","Fry","Zhang","Murphy","Hitt","Hewitt","Chapman","Black"],"authorFullName":["Bell, V.A.","Davies, H.N.","Fry, M.","Zhang, T.","Murphy, H.","Hitt, O.","Hewitt, E.J.","Chapman, R.","Black, K.B."],"authorGivenName":["V.A.","H.N.","M.","T.","H.","O.","E.J.","R.","K.B."],"authorOrcid":["0000-0002-0792-5650","0000-0001-7783-4853","0000-0003-1142-4039","0000-0001-9292-7740","0000-0003-3100-4904","0000-0002-3842-1420","0000-0002-7436-5411"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"The dataset of neutron probe soil moisture observations for 112 sites (428 probe locations) from 1966 to 2013 includes 4 comma-separated tables, derived from the UK Soil Moisture Databank.\n\nThe data include: \n•      Neutron probe readings (number of neutrons) and Volumetric soil moisture content (m3 m-3) at a range of soil depths\n•      Profile moisture content (m3 m-3) to a range of soil depths\n•\tMetadata (includes probe location, maximum depth of readings, soil type, vegetation, start date, end date)\n•\tRelevant publications (references and URL where available) for individual datasets\n\nThe tube site locations are provided as British National Grid references and latitude/longitude in the tube metadata file. Depths of tube readings are provided in metres.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Davies","Fry","Zhang","Murphy","Hitt","Hewitt","Chapman","Black"],"fullName":["Bell, V.A.","Davies, H.N.","Fry, M.","Zhang, T.","Murphy, H.","Hitt, O.","Hewitt, E.J.","Chapman, R.","Black, K.B.","Bell, V."],"funder":["Natural Environment Research Council","European Union"],"givenName":["V.A.","H.N.","M.","T.","H.","O.","E.J.","R.","K.B.","Vicky"],"grant":["NE/N018125/1","603525"],"identifier":"450bb14b-c711-47af-8792-f9bd88482cd4","incomingCitationCount":1,"keyword":["Soil","Hydrology","UK","Soil-moisture","Neutron-probe"],"keywordsOther":["UK","Soil-moisture","Neutron-probe"],"keywordsTheme":["Soil","Hydrology"],"licence":"Open government licence","lineage":"An archive of neutron probe data for over 400 UK locations has been assembled following a data recovery process. The UKSMD (UK Soil Moisture Databank) consists of neutron probe observations from 1966 to 2013 recovered from fragile magnetic tapes and from disparate spreadsheets and databases. Much of the older data (1960s and 1970s) formed part of a national soil moisture database, “The Soil Moisture Databank (SMDB)” which was previously considered lost, but has since been recovered from old tapes, reassembled, and quality assessed. An additional archive of more-recent neutron probe data for a further 329 probe locations up to 2013 has been retrieved from disparate spreadsheets and databases across UKCEH. All associated data, from the raw digitised neutron probe measurements to volumetric soil moisture data have been quality controlled and converted to standard (SI) units\nSee supporting information for more details.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:16:18.000Z","orcid":["0000-0002-0792-5650","0000-0001-7783-4853","0000-0003-1142-4039","0000-0001-9292-7740","0000-0003-3100-4904","0000-0002-3842-1420","0000-0002-7436-5411"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/450bb14b-c711-47af-8792-f9bd88482cd4","10.5285/450bb14b-c711-47af-8792-f9bd88482cd4","doi:10.5285/450bb14b-c711-47af-8792-f9bd88482cd4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset of neutron probe soil moisture observations for 112 sites (428 probe locations) from 1966 to 2013 includes 4 comma-separated tables, derived from the UK Soil Moisture Databank.\n\nThe data include: \n•      Neutron probe readings (number of neutrons) and Volumetric…","state":"published","title":"Collated neutron probe measurements and derived soil moisture data, UK, 1966-2013","topic":["0/Soil/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Fish Conservation Centre","Natural History Museum","British Trust for Ornithology"],"authorFamilyName":["Gunn","Carvalho","Davies","Edwards","Furse","Maitland","Raper","Siriwardena","Winfield"],"authorFullName":["Gunn, I.D.M.","Carvalho, L.","Davies, C.E.","Edwards, F.K.","Furse, M.T.","Maitland, P.S.","Raper, C.","Siriwardena, G.M.","Winfield, I.J."],"authorGivenName":["I.D.M.","Laurence","C.E.","F.K.","M.T.","P.S.","C.","G.M.","I.J."],"authorOrcid":["0000-0002-9768-9902","0000-0001-9875-6663","0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. \n\nThe following eight major groups were identified as being associated with fresh waters in the UK: algae, amphibians, birds, fish, invertebrates, macrophytes, mammals and reptiles. Algae (except stoneworts) were not included in the UK Checklist of Freshwater Species as they are currently undergoing a major revision. Other microorganisms (bacteria, fungi and viruses) are also not included in this species list.\n\nThe checklist was compiled to allow querying of freshwater species data in the Biological Records Centre (BRC) but to also to query freshwater species data from the BRC via the UK Lakes Portal (https://uklakes.ceh.ac.uk/), as well as to update the freshwater species list supplied to the UK Species Inventory (UKSI) partners, such as Recorder 6, National Biodiversity Network (NBN) Atlas and iRecord.","documentType":"GEMINI_DOCUMENT","familyName":["Gunn","Carvalho","Davies","Edwards","Furse","Maitland","Raper","Siriwardena","Winfield"],"fullName":["Gunn, I.D.M.","Carvalho, L.","Davies, C.E.","Edwards, F.K.","Furse, M.T.","Maitland, P.S.","Raper, C.","Siriwardena, G.M.","Winfield, I.J.","Gunn, I."],"givenName":["I.D.M.","Laurence","C.E.","F.K.","M.T.","P.S.","C.","G.M.","I.J.","Iain"],"identifier":"57653719-434b-4b11-9f0d-3bd76054d8bd","incomingCitationCount":0,"keyword":["Biodiversity","Water quality","Invasive species","fish","alga","amphibian","bird","invertebrate","reptile","macrophyte","mammal"],"keywordsOther":["fish","alga","amphibian","bird","invertebrate","reptile","macrophyte","mammal"],"keywordsTheme":["Biodiversity","Water quality","Invasive species"],"licence":"Open government licence","lineage":"The UK Checklist of Freshwater Species was put together between 2015-2017 by Iain Gunn (CEH Edinburgh) in collaboration with Laurence Carvalho (CEH Edinburgh), Chris Raper (Natural History Museum (NHM)), Gavin Siriwardena (British Trust for Ornithology (BTO)) and Ian Winfield (CEH Lancaster). The checklist was compiled, primarily, under the auspices of the NERC Highlights Hydroscape project (NEC05609). The freshwater invertebrate component of the checklist was updated by Iain Gunn predominantly based on the 2011 version of the Mike Furse (ex-CEH Dorset, now retired)/Peter Maitland (Fish Conservation Centre) invertebrate code list compiled by Cynthia Davies (ex-CEH Wallingford, now retired) and Francois Edwards (CEH Wallingford). ","metadataDate":"2026-07-24T23:06:12.000Z","orcid":["0000-0002-9768-9902","0000-0001-9875-6663","0000-0001-9296-5114"],"organisation":["Centre for Ecology & Hydrology","Fish Conservation Centre","Natural History Museum","British Trust for Ornithology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57653719-434b-4b11-9f0d-3bd76054d8bd","10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd","doi:10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. \n\nThe following eight major groups were identified as being associated with fresh waters in the UK:…","state":"published","title":"UK Checklist of freshwater species","topic":["0/Biodiversity/","0/Water quality/","0/Invasive species/"],"version":1.0,"view":["public","dcmo"]},{"authorAffiliation":["Biological and Environmental Sciences, School of Natural Sciences, University of Stirling"],"authorFamilyName":["Jump","Li"],"authorFullName":["Jump, A.S.","Li, G."],"authorGivenName":["A.S.","G."],"authorOrcid":["0000-0002-2167-6451","0000-0002-8238-2801"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains year-by-year tree inter-annual growth measurements (dendroecology, ring width) covering 1900-2019. European Beech tree cores were sampled in late 2019 at 12 sites in Bulgaria, Albania, Kosovo, and Spain. Measurements took place to fill the climatic gaps that European Beech Tree Ring Network (EBTRN) has not well covered at the hot and dry European distribution edges.","documentType":"GEMINI_DOCUMENT","familyName":["Jump","Li"],"fullName":["Jump, A.S.","Li, G."],"givenName":["A.S.","G.","Guangqi"],"identifier":"5a749178-cc87-4ccc-88e5-ea7c464f067b","incomingCitationCount":0,"keyword":["dendrometry","Europe","Phenology","European Beech","tree rings","tree ring width","tree growth","tree"],"keywordsInstrument":["dendrometry"],"keywordsOther":["European Beech","tree rings","tree ring width","tree growth","tree"],"keywordsPlace":["Europe"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"In late 2019 fieldwork, European Beech tree cores were sampled at 12 sites of European beech in Bulgaria, Albania, Kosovo, and Spain. At least 15 trees per site and two cores per tree were sampled for those 12 sites. \nThe new tree cores were processed following the standard dendrology. They were first air-dried in the shade and ventilated space, then mounted onto the carrier before sanded by sandpaper from raw to fine grits (80, 120, 300, 600, 1200). \nAll cores were scanned into 2400 PPI images.\nTree core images were measured by the CDendro, with a precision of 0.01mm. \nFor each site, all measurements are cross-dated virtually and statistically, and COFECH is used to control the cross-dating quality.","locations":["POLYGON((-11 35, -11 72, 41 72, 41 35, -11 35))"],"metadataDate":"2026-07-24T23:08:21.000Z","orcid":["0000-0002-2167-6451","0000-0002-8238-2801"],"organisation":["Biological and Environmental Sciences, School of Natural Sciences, University of Stirling","University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5a749178-cc87-4ccc-88e5-ea7c464f067b","10.5285/5a749178-cc87-4ccc-88e5-ea7c464f067b","doi:10.5285/5a749178-cc87-4ccc-88e5-ea7c464f067b"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains year-by-year tree inter-annual growth measurements (dendroecology, ring width) covering 1900-2019. European Beech tree cores were sampled in late 2019 at 12 sites in Bulgaria, Albania, Kosovo, and Spain. Measurements took place to fill the climatic…","state":"published","title":"Beech tree ring data from hot and dry European distribution edges, 2019","topic":["0/Phenology/"],"version":1.0,"view":["public","rafbar"]},{"availability":"Unknown","catalogue":"eidc","description":"This data series contains datasets collected as part of the Lakes and Arctic Carbon Cycle project and includes palaeolimnological data and nutrient chemistry data from lakes in Alaska, Greenland and Norway. The overall aim of the project was to understand the interactions between Arctic landscape ontogeny, aquatic biodiversity and biogeochemical cycling at the landscape scale over the Holocene. Regionally-replicated palaeo-records from three pan-Arctic locations (Alaska, Greenland, Norway) were selected to evaluate the effects of changing terrestrial plant functional type in lake catchments on aquatic biodiversity and carbon cycling, sequestration and export to lakes. Hon-kajak gravity cores were taken for the upper part of each sequence and Livingstone or Russian corers were used to obtain full Holocene sequences from lake sediments. Cores were analysed for x-ray fluorescence (XRF), loss-on-ignition (LOI), biogenic silica, stable carbon and nitrogen isotopes, pigments, pollen, diatoms, plant macrofossils, chironomids, and cladocerans. Sequences were dated using accelerator mass spectrometry (AMS) 14C at the Natural Environment Research Council (NERC) radiocarbon facility. The data were collected as part of the Lakes and Arctic Carbon project (NE/K000349/1), funded under NERC's Arctic Research Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Whiteford"],"fullName":["Whiteford, E."],"givenName":["E."],"identifier":"1115ab47-3ccc-498c-8018-4682fa3a9bf0","incomingCitationCount":0,"licence":"Non-Open government licence","lineage":"As data were generated, checks were made to ensure values were above limits of detection. Calculations from any applied equations were checked for errors before data was accepted. Values were checked against data from previous samples taken at the same locations.","locations":["POLYGON((-180 66.4, -180 90, 180 90, 180 66.4, -180 66.4))"],"metadataDate":"2026-07-24T19:07:33.000Z","organisation":["University of Loughborough","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1115ab47-3ccc-498c-8018-4682fa3a9bf0"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data series contains datasets collected as part of the Lakes and Arctic Carbon Cycle project and includes palaeolimnological data and nutrient chemistry data from lakes in Alaska, Greenland and Norway. The overall aim of the project was to understand the interactions…","state":"published","title":"Data from the Lakes and Arctic Carbon Cycle (LAC) project","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading"],"authorFamilyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"authorFullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"authorGivenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"authorOrcid":["0000-0002-4984-1607"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises of hourly physical and nutrient monitoring data of The Cut at Bray Marina (National grid reference SU915786), from May 2010 to February 2012.  Parameters measured are total phosphorus, total reactive phosphorus, ammonium, conductivity, temperature, dissolved oxygen, pH and total chlorophyll.  The accompanying hourly averaged flow data (from the EA flow gauging station at Binfield, approximately 10 km upstream of the monitoring site) are also supplied. The monitoring programme was funded by the EPSRC, through the LIMPIDS project.","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"fullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"givenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"identifier":"abe4dd7c-a340-4595-a57f-8c1446ff7656","incomingCitationCount":2,"keyword":["United Kingdom","England","Berkshire","Hourly"],"keywordsOther":["Hourly"],"keywordsPlace":["United Kingdom","England","Berkshire"],"licence":"Non-Open government licence","lineage":"Total and total reactive phosphorus data was produced in the field using a Hach Lange Phosphax Sigma auto-analyser.  The other parameters were monitored using a YSI 6600 sonde.  The monitoring site installation, telemetry / data collection and maintenance / calibration of the YSI probe was conducted by the Environment Agency's National Water Quality Instrumentation Service.  The hourly phosphorus data was produced by CEH. Data processing was carried out jointly by CEH and University of Reading. Full details of the field procedures and laboratory groundtruthing samples are outlined in the accompanying papers (see Additional Information Source, under Description tab).   ","locations":["POLYGON((-0.686 51.498, -0.686 51.5, -0.684 51.5, -0.684 51.498, -0.686 51.498))"],"metadataDate":"2026-07-25T13:22:02.000Z","orcid":["0000-0002-4984-1607"],"organisation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1431339069094","CEH:EIDC::1431339069094","https://catalogue.ceh.ac.uk/id/abe4dd7c-a340-4595-a57f-8c1446ff7656","10.5285/abe4dd7c-a340-4595-a57f-8c1446ff7656","doi:10.5285/abe4dd7c-a340-4595-a57f-8c1446ff7656"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"This data set comprises of hourly physical and nutrient monitoring data of The Cut at Bray Marina (National grid reference SU915786), from May 2010 to February 2012.  Parameters measured are total phosphorus, total reactive phosphorus, ammonium, conductivity, temperature,…","state":"published","supplementalDescription":["Bowes, M.J., Armstrong, L.K., Harman, S.A., Wickham, H.D., Nicholls, D.J.E., Scarlett, P.M., … Read, D.S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637-1653","Halliday, S.J., Skeffington, R.A., Wade, A.J., Bowes, M.J., Gozzard, E., Newman, J.R., … Jarvie, H.P. (2015). High-frequency water quality monitoring in an urban catchment: hydrochemical dynamics, primary production and implications for the Water Framework Directive. Hydrological Processes, 29(15), 3388-3407","Wade, A.J., Palmer-Felgate, E.J., Halliday, S.J., Skeffington, R.A., Loewenthal, M., Jarvie, H.P., … Newman, J.R. (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrology and Earth System Sciences, 16(11), 4323-4342"],"title":"Hourly physical and nutrient monitoring data for The Cut, Berkshire (2010-2012)","version":1.0,"view":["public","nuri"]},{"availability":"Unknown","catalogue":"eidc","description":"The Concentration Based Estimated Deposition (CBED) model generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network.   Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts.\n\nCBED datasets are provided as a 3 year rolling mean (e.g. 2013-2015) with each consecutive year updated on an annual basis. \n\n\n","documentType":"GEMINI_DOCUMENT","identifier":"bfa37333-b22e-41b8-829a-10c57d50e13f","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T13:00:55.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bfa37333-b22e-41b8-829a-10c57d50e13f"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The Concentration Based Estimated Deposition (CBED) model generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations…","state":"published","supplementalDescription":["UK-Air is the national UK website for the dissemination of air quality data and provides information on air pollution to members of the public. ","The UK Eutrophying and Acidifying Pollutants (UKEAP) network project combines two Defra atmospheric pollutant monitoring projects, which have measured air pollutants at rural sites across the UK over the past two decades.","APIS provides a comprehensive source of information on air pollution and the effects on habitats and species. APIS has been developed in partnership by the UK conservation agencies and regulatory agencies and the Centre for Ecology & Hydrology. The Site Relevant Critical Loads tool for protected site in the UK uses CBED data for calculating critical loads"],"supplementalName":["UK-Air","UKEAP","Air Pollution Information System (APIS)"],"title":"Concentration Based Estimated Deposition (CBED)","version":1.0,"view":["public","leav"]},{"authorAffiliation":["University of Stirling","NEIF Radiocarbon Laboratory"],"authorFamilyName":["Joly","Subke","Garnett"],"authorFullName":["Joly, F.X.","Subke, J.A.","Garnett, M."],"authorGivenName":["F.X.","J.A.","M."],"authorOrcid":["0000-0002-4453-865X","0000-0001-9244-639X","0000-0001-6486-2126"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the radiocarbon age of soil organic matter fractions collected along grassland-to-forest conversion chronosequences across Scotland. Soil samples were collected in summer 2018. \n\nIn summer 2019, soil samples were fractionated and the radiocarbon age of bulk soil and soil fraction samples determined by accelerator mass spectrometry.","documentType":"GEMINI_DOCUMENT","familyName":["Joly","Subke","Garnett"],"fullName":["Joly, F.X.","Subke, J.A.","Garnett, M.","Joly, F."],"funder":["Natural Environment Research Council"],"givenName":["F.X.","J.A.","M.","Francois-Xavier"],"grant":["NE/P011098/1"],"identifier":"0dd45f6f-0536-4ee3-9932-58bac019d2c6","incomingCitationCount":0,"keyword":["Grasslands","Scot pine","Coniferous forests","Soil carbon","Soil organic matter","Soil fractions","Radiocarbon","Scotland"],"keywordsOther":["Grasslands","Scot pine","Coniferous forests","Soil carbon","Soil organic matter","Soil fractions","Radiocarbon","Scotland"],"licence":"Open government licence","lineage":"All data were generated by the authors. All data were checked to ensure reported values were above the detection limit of the method. All calculations were checked for errors before data was accepted.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-24T19:02:16.000Z","orcid":["0000-0002-4453-865X","0000-0001-9244-639X","0000-0001-6486-2126"],"organisation":["University of Stirling","NEIF Radiocarbon Laboratory","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0dd45f6f-0536-4ee3-9932-58bac019d2c6","10.5285/0dd45f6f-0536-4ee3-9932-58bac019d2c6","doi:10.5285/0dd45f6f-0536-4ee3-9932-58bac019d2c6"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the radiocarbon age of soil organic matter fractions collected along grassland-to-forest conversion chronosequences across Scotland. Soil samples were collected in summer 2018. \n\nIn summer 2019, soil samples were fractionated and the radiocarbon…","state":"published","title":"Radiocarbon dating of soil organic matter fractions along grassland-to-forest conversion chronosequences across Scotland","version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=2"}