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The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here, the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. Each accumulation period is calculated for calendar end-months. The standard period used to fit the Tweedie distribution is 1961-2010. \n\nThe SSI was produced by the RCUK-funded Historic Droughts project in order to characterise and explore hydrological drought severity over the period 1891-2015. 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Here the SSI is calculated for the following accumulation periods: 1, 3, 6, 9, 12, 18 and 24 months. The Tweedie distribution was fitted to each accumulated time series of monthly mean flows. The 'SCI' package for R was used to calculate the SSI and a new function was written to enable the SCI package to call the 'tweedie' package for R. The input data used is monthly mean streamflow derived from modelled reconstructed streamflow (Smith et al., 2018 https://doi.org/10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e). Data were exported in comma separated value files (.csv format) and ingested into the EIDC.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T13:44:18.000Z","orcid":["0000-0002-2913-0664","0000-0003-1060-9103","0000-0001-9294-5826","0000-0002-1516-6834","0000-0002-5256-3310"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/58ef13a9-539f-46e5-88ad-c89274191ff9","10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9","doi:10.5285/58ef13a9-539f-46e5-88ad-c89274191ff9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the Standardised Streamflow Index (SSI) data for 303 catchments across the United Kingdom from 1891 to 2015. The SSI is a drought index based on the cumulative probability of a given monthly mean streamflow occurring for a given catchment. Here,…","state":"published","title":"Historic Standardised Streamflow Index (SSI) using Tweedie distribution with standard period 1961-2010 for 303 UK catchments (1891-2015)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Exeter","Nigerian Montane Forest Project","University of Canterbury"],"authorFamilyName":["Stivanello","Emmanuel","Abubakar","Chapman","Zubairu","Streher","Feldpausch","Hill"],"authorFullName":["Stivanello, S.","Emmanuel, E.","Abubakar, U.","Chapman, H.","Zubairu, M.","Streher, A.S.","Feldpausch, T.","Hill, T."],"authorGivenName":["S.","E.","U.","H.","M.","A.S.","T."],"authorOrcid":["0000-0001-8509-703X","0000-0002-6631-7962","0000-0002-1740-930X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ngel Nyaki Forest, collected between June 2018 and July 2021.\nWe investigated tree mortality driven by lightning strikes in a 40-ha area at the Ngel Nyaki Forest Dynamic Plot, located in south-eastern Nigeria. Ngel Nyaki is a submontane forest with an elevation range of 1,588–1,690m and is part of the Smithsonian's Forest Global Earth Observatory (ForestGEO) network. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing).\n","documentType":"GEMINI_DOCUMENT","familyName":["Stivanello","Emmanuel","Abubakar","Chapman","Zubairu","Streher","Feldpausch","Hill"],"fullName":["Stivanello, S.","Emmanuel, E.","Abubakar, U.","Chapman, H.","Zubairu, M.","Streher, A.S.","Feldpausch, T.","Hill, T."],"funder":["Natural Environment Research Council"],"givenName":["S.","E.","U.","H.","M.","A.S.","T.","Tim"],"grant":["NE/P001564/1"],"identifier":"5237ab05-04bd-44b6-9c53-d21eb2083e39","incomingCitationCount":0,"keyword":["tree mortality","tree","forest Inventory","lightning","tropical forest"],"keywordsOther":["tree mortality","tree","forest Inventory","lightning","tropical forest"],"licence":"Open government licence","lineage":"For each tree measured in the forest inventory we installed a custom-made Rogowski Coil sensor, that was designed and tested by the Cardiff Morgan Botti lightning laboratory, to record if a tree was struck by lightning, without damaging the tree or altering the tree's electrical resistance. The Rogowski Coil is a non-contact sensor commonly used to measure alternating and impulse current flowing through the axis of the coil (in our case, down the tree). A quick visual check of the fuse allows us to see if the tree was struck by lightning. In addition to tree stem measurements, in each census, we also took notes on the general state of the coil and fuse, and the electrical conductivity was measured. Trees struck by lightning (e.g. with the fuse blown or melted) were identified at the species level and any lightning-associated damage to the tree (e.g. marks in trunks, broke branches, canopy dieback) and in the surroundings (e.g. canopy gaps, sapling mortality) was documented.","locations":["POLYGON((11.056 6.934, 11.056 6.992, 11.093 6.992, 11.093 6.934, 11.056 6.934))"],"metadataDate":"2026-07-24T23:03:38.000Z","orcid":["0000-0001-8509-703X","0000-0002-6631-7962","0000-0002-1740-930X"],"organisation":["University of Exeter","Nigerian Montane Forest Project","University of Canterbury","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5237ab05-04bd-44b6-9c53-d21eb2083e39","10.5285/5237ab05-04bd-44b6-9c53-d21eb2083e39","doi:10.5285/5237ab05-04bd-44b6-9c53-d21eb2083e39"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ngel Nyaki Forest, collected between June 2018 and July 2021.\nWe investigated tree mortality driven by…","state":"published","title":"Forest inventory and lightning strikes data from the Ngel Nyaki forest, Nigeria, 2018-2021","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Lab of Vegetation Ecology, Instituto de Biociências","Departamento de Ciências Biológicas","Departamento de Biologia e Zootecnia","Department of Biological Sciences"],"authorFamilyName":["Zirondi","Kolb","Martins","Fidelis","Steinbrecher","Pérez","Leubner-Metzger","Chandler","Motta"],"authorFullName":["Zirondi, H.L.","Kolb, R.M.","Martins, A.R.","Fidelis, A.","Steinbrecher, T.","Pérez, M.","Leubner-Metzger, G.","Chandler, J.O.","Motta, G.S.T.","Martins, R.G."],"authorGivenName":["H.L.","R.M.","A.R.","A.","T.","M.","G.","J.O.","G.S.T.","R.G."],"authorOrcid":["0000-0001-6504-1004","0000-0003-3841-5597","0000-0002-2931-4981","0000-0001-9545-2285","0000-0003-3282-6029","0000-0002-6802-205X","0000-0002-6045-8713","0000-0003-0955-9241","0000-0003-1727-5900","0000-0002-5226-6500"],"authorRor":["https://ror.org/00987cb86","https://ror.org/04g2vpn86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about how seeds collected from Brazilian Cerrado plant species germinate in smoke water and control water solutions. Seeds were collected from site across the Cerrado between 2013 and 2020. Germination was assessed in laboratory experiments by placing seeds on wet filter paper with water and smoke water solutions. Two different methods were used. One used a commercially available smokewater, Regen 2000 and the other used smoke water produced from burning biomass collected in central Brazil. Germination was counted daily by observing emergence of radicle from the seed.\n\nThe work was supported by NE/T004851/1 NERC-FAPESP Seedcorn Fund Collaboration Project \"Fire-adapted seed traits in Cerrado species\" between RHUL (UK) and UNESP (Brazil).","documentType":"GEMINI_DOCUMENT","familyName":["Zirondi","Kolb","Martins","Fidelis","Steinbrecher","Pérez","Leubner-Metzger","Chandler","Motta"],"fullName":["Zirondi, H.L.","Kolb, R.M.","Martins, A.R.","Fidelis, A.","Steinbrecher, T.","Pérez, M.","Leubner-Metzger, G.","Chandler, J.O.","Motta, G.S.T.","Martins, R.G."],"funder":["Natural Environment Research Council"],"givenName":["H.L.","R.M.","A.R.","A.","T.","M.","G.","J.O.","G.S.T.","R.G."],"grant":["NE/T004851/1"],"identifier":"ad4e3224-4674-47a1-ad1a-80c1c109f20c","incomingCitationCount":0,"keyword":["Brazil","Cerrado","dormancy","fire","smoke","germination","seed (biology)"],"keywordsOther":["Cerrado","dormancy","fire","smoke","germination","seed (biology)"],"keywordsPlace":["Brazil"],"licence":"Open government licence","lineage":"Seeds were germinated in control or smoke water solutions and germination was recorded daily. Data and metadata regarding collection were transferred to electronic spreadsheet. ","locations":["POLYGON((-78.398 -37.719, -78.398 8.407, -24.961 8.407, -24.961 -37.719, -78.398 -37.719))"],"metadataDate":"2026-07-25T13:22:59.000Z","orcid":["0000-0001-6504-1004","0000-0003-3841-5597","0000-0002-2931-4981","0000-0001-9545-2285","0000-0003-3282-6029","0000-0002-6802-205X","0000-0002-6045-8713","0000-0003-0955-9241","0000-0003-1727-5900","0000-0002-5226-6500"],"organisation":["Lab of Vegetation Ecology, Instituto de Biociências","Departamento de Ciências Biológicas","Departamento de Biologia e Zootecnia","Department of Biological Sciences","NERC EDS Environmental Information Data Centre","Universidade Estadual Paulista","Royal Holloway University of London"],"publicationDate":"2022-04-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ad4e3224-4674-47a1-ad1a-80c1c109f20c","10.5285/ad4e3224-4674-47a1-ad1a-80c1c109f20c","doi:10.5285/ad4e3224-4674-47a1-ad1a-80c1c109f20c"],"resourceType":"Dataset","rightsHolder":["Universidade Estadual Paulista","Royal Holloway University of London"],"ror":["https://ror.org/00987cb86","https://ror.org/04g2vpn86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about how seeds collected from Brazilian Cerrado plant species germinate in smoke water and control water solutions. Seeds were collected from site across the Cerrado between 2013 and 2020. Germination was assessed in laboratory experiments…","state":"published","title":"Response of seed germination to smoke water solutions in Cerrado plant species collected between 2013 and 2020","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Newcastle University","Macaulay Land Use Research Institute"],"authorFamilyName":["Griffiths","Whiteley","O'Donnell","Bailey","Mayoux","Burt-Smith"],"authorFullName":["Griffiths, R.I.","Whiteley, A.S.","O'Donnell, A.G.","Bailey, M.J.","Mayoux, D.","Burt-Smith, G."],"authorGivenName":["R.I.","A.S.","A.G.","M.J.","D.","G."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise culturable cell counts in different media from soil microbial analysis within a microcosm experiment investigating moisture perturbations on microbes, set up at the Centre for Ecology & Hydrology,  Oxford.  The experiment used soil turves from outside the main experimental plots at Sourhope, Scotland, collected in July 2001.  Soil moisture data are also included.\n\nData were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute)'s farm at Sourhope in the Scottish Borders. During this time, the site was monitored to assess changes in aboveground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Whiteley","O'Donnell","Bailey","Mayoux","Burt-Smith"],"fullName":["Griffiths, R.I.","Whiteley, A.S.","O'Donnell, A.G.","Bailey, M.J.","Mayoux, D.","Burt-Smith, G.","Griffiths, R."],"funder":["Natural Environment Research Council"],"givenName":["R.I.","A.S.","A.G.","M.J.","D.","G.","R."],"identifier":"999b9188-1784-497a-bdce-8fdfbd03e15b","incomingCitationCount":0,"keyword":["Sourhope","Scottish borders","Soil","microbes","molecular biology","soil horizon","drought stress","Physiological assays","tetrazolium staining"],"keywordsOther":["Soil","microbes","molecular biology","soil horizon","drought stress","Physiological assays","tetrazolium staining"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["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)'s farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). \n\nData were collected by scientists employed by Centre for Ecology & Hydrology, University of Newcastle-upon-Tyne and MLURI, and were managed by 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":"2026-07-25T10:21:14.000Z","organisation":["Centre for Ecology & Hydrology","Newcastle University","Macaulay Land Use Research Institute","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/999b9188-1784-497a-bdce-8fdfbd03e15b","10.5285/999b9188-1784-497a-bdce-8fdfbd03e15b","doi:10.5285/999b9188-1784-497a-bdce-8fdfbd03e15b"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise culturable cell counts in different media from soil microbial analysis within a microcosm experiment investigating moisture perturbations on microbes, set up at the Centre for Ecology & Hydrology,  Oxford.  The experiment used soil turves from outside…","state":"published","supplementalDescription":["Website for the NERC Soil Biodiversity Programme \n"," Griffiths, R. I., Whiteley, A. S., O'Donnell, A. G., and Bailey, M. J. (2003). Physiological and Community Responses of Established Grassland Bacterial Populations to Water Stress.  Applied and Environmental Microbiology 69: 6961-6968.","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 ","Physiological and Community Responses of Established Grassland Bacterial Populations to Water Stress","Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme "],"title":"Soil bacterial cell counts and moisture content from a water stress experiment [NERC Soil Biodiversity Programme]","topic":["0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Sussex","University of Mons","Game and Wildlife Conservation Trust"],"authorFamilyName":["Nichols","Wood","Holland","Goulson"],"authorFullName":["Nichols, R.","Wood, T.J.","Holland, J.M.","Goulson, D."],"authorGivenName":["R.","T.J.","J.M.","D."],"authorRor":["https://ror.org/00ayhx656","https://ror.org/02qnnz951","https://ror.org/015eybs17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains information about floral abundance on eight farms across Hampshire and West Sussex in 2014 and 2018. Transects of 3km were marked out on each farm and surveyed 3 times in both years. Flower species seen along transects were identified and their estimated abundances recorded. \n\nThe work was supported by the Natural Environment Research Council (Grants NE/P009972/1 and NE/J016802/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Nichols","Wood","Holland","Goulson"],"fullName":["Nichols, R.","Wood, T.J.","Holland, J.M.","Goulson, D."],"funder":["Natural Environment Research Council"],"givenName":["R.","T.J.","J.M.","D."],"grant":["NE/P009972/1","NE/J016802/1"],"identifier":"8ce6df21-4e10-4246-9751-54e6415b8eee","incomingCitationCount":0,"keyword":["Wildflower","floral resources","agri-environment","margins","natural regeneration","farmland","strips"],"keywordsOther":["Wildflower","floral resources","agri-environment","margins","natural regeneration","farmland","strips"],"licence":"Open government licence","lineage":"The transects were marked through a variety of different environments on each farm. They were separated into distinguishable sections, and then walked and surveyed 2m either side of the surveyor for flowers. The flower species seen were identified and their estimated abundances recorded. Wildflower identification books were used to reach an accurate species-level identification where possible for each flower species seen. A “flower” was counted when fully open, and is defined as either a single flower, flowers on an umbel or spike, or a capitulum. The data recorded in the field was then transferred into an excel spreadsheet.","locations":["POLYGON((-1.835 50.548, -1.835 51.313, 0.024 51.313, 0.024 50.548, -1.835 50.548))"],"metadataDate":"2026-07-25T08:42:03.000Z","organisation":["University of Sussex","University of Mons","Game and Wildlife Conservation Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8ce6df21-4e10-4246-9751-54e6415b8eee","10.5285/8ce6df21-4e10-4246-9751-54e6415b8eee","doi:10.5285/8ce6df21-4e10-4246-9751-54e6415b8eee"],"resourceType":"Dataset","rightsHolder":["University of Sussex"],"ror":["https://ror.org/00ayhx656","https://ror.org/02qnnz951","https://ror.org/015eybs17","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information about floral abundance on eight farms across Hampshire and West Sussex in 2014 and 2018. Transects of 3km were marked out on each farm and surveyed 3 times in both years. Flower species seen along transects were identified and their…","state":"published","title":"Flower species and their abundances on farmland in Hampshire and West Sussex during 2014 and 2018","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Bell","Davies","Kay"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"authorGivenName":["P.","V.A.","H.N.","A.L."],"authorOrcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099) periods. This dataset is the output from the Hydrological Modelling Framework for West Africa, or \"HMF-WA\" model. The ensembles correspond to historical and three projected future climate scenarios (RCP2.6, RCP4.5 and RCP8.5) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Kay"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Kay, A.L."],"funder":["Natural Environment Research Council"],"givenName":["P.","V.A.","H.N.","A.L.","Ponnambalam"],"grant":["NE/M020428/1"],"identifier":"6429828f-6a06-4d2d-8f50-4910b18f7ff4","incomingCitationCount":1,"keyword":["West Africa","Climate and climate change","Hydrology","Modelling","African Monsoon Multidisciplinary Analysis AMMA"],"keywordsOther":["African Monsoon Multidisciplinary Analysis AMMA"],"keywordsPlace":["West Africa"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP5 daily precipitation and potential evaporation derived from bias-corrected CMIP5 daily temperature data (near-surface air temperature and daily maximum and minimum surface air temperature). See Supporting Information for more details.","locations":["POLYGON((-18 3, -18 26, 25 26, 25 3, -18 3))"],"metadataDate":"2026-07-25T06:44:26.000Z","orcid":["0000-0002-8972-953X","0000-0002-0792-5650","0000-0001-7783-4853","0000-0002-5526-1756"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6429828f-6a06-4d2d-8f50-4910b18f7ff4","10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4","doi:10.5285/6429828f-6a06-4d2d-8f50-4910b18f7ff4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1° × 0.1° grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2005) and projected future (2006 to 2099)…","state":"published","supplementalDescription":["The AMMA-2050 project was a United Kingdom’s Natural Environment Research Council (NERC)/Department for International Development (DFID) Future Climate for Africa (FCFA) initiative to address the challenges of understanding how the monsoon will change in future decades, and how this information can be most effectively used to support climate-compatible development in the region.","RAMESHWARAN, P., BELL, V. A., DAVIES, H. N. & KAY, A. L. submitted. How might climate change affect river flows across West Africa? Climatic Change."],"supplementalName":["AMMA-2050 project"],"title":"Historical (1950-2005) and projected (2006-2099) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP5 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Stagl","Warnaars"],"fullName":["Stagl, S.","Warnaars, T."],"givenName":["S.","Tanya"],"identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T06:43:02.000Z","organisation":["University of Sussex","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315213681382","CEH:EIDC::1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceType":"Dataset","ror":["https://ror.org/00ayhx656","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Powell"],"authorFullName":["Powell, K."],"authorGivenName":["K."],"authorOrcid":["0000-0002-6089-0872"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from sites throughout England, between 2002-2019, from March to May, and September to November.  Samples were collected using three-minute kick-samples, whereby a net is used to catch invertebrates and debris flowing downstream of an area in a river which is disturbed by a recorder for three minutes.  Data before 2002 were excluded as abundance of macroinvertebrates was not recorded widely before this year. \n\nThe data were originally collected for the purpose of understanding water quality by the Environment Agency. The original EA data contains raw counts of mixed-taxonomic groupings of invertebrates and some diatoms and other taxa, from rivers in England with multiple sampling methodologies. Here, the derived data has been processed in such a way to combine counts at a single taxonomic level (family) containing only taxonomic groups of interest for the research, and the data are limited to one sampling method.","documentType":"GEMINI_DOCUMENT","familyName":["Powell"],"fullName":["Powell, K."],"givenName":["K.","Kathryn"],"identifier":"f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","incomingCitationCount":1,"keyword":["Water quality","Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsOther":["Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"This data has been processed in the following manner: \n * Data from all EA sampling regions (Anglian, Midlands, Northeast, Northwest, Southern, Southwest and Thames) have been combined into one data file\n * Samples taken outside of the Spring (March-May inclusive) and Autumn (September-November inclusive) were removed\n * Data were restricted to three-minute kick samples only (meaning 'dredge' samples were removed)\n * All data taken before 2002 were removed\n * Only data classified in the following taxa by the EA were retained: Ephemeroptera, Plecoptera, Hemiptera, Megaloptera, Odonata, Coleoptera, Trichoptera, Turbellaria, Annelida, Crustacea, Diptera and Mollusca\n * Total abundance of macroinvertebrates per Sample ID were summed at the family-level within these taxa\n * Eleven samples with anomalous abundance counts for a taxonomic group were removed from the data\n * The number of sampling occurrences was calculated for each site-season-year combination, and only sites where samples had been taken in both spring and autumn at least once for a minimum of three years in the remaining time series (2002-2019) were retained.\n\nThe data have been pooled by family and wider taxonomic groupings.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T18:08:19.000Z","orcid":["0000-0002-6089-0872"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Reading","Environment Agency"],"publicationDate":"2023-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","doi:10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1"],"resourceType":"Dataset","rightsHolder":["University of Reading","Environment Agency"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from…","state":"published","supplementalName":["Environment Agency Ecology and Fish Data Explorer"],"title":"Freshwater macroinvertebrate family abundances in spring and autumn, England, 2002-2019","topic":["0/Water quality/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hall"],"authorFullName":["Hall, J."],"authorGivenName":["J."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical loads for thirteen habitats.  The data provide information on the amount of excess acid or nitrogen deposition above the critical load values set to protect acid- and nitrogen-sensitive habitats in the UK.  The AAE has been calculated using UK 5x5 km Concentration Based Estimated Deposition (CBED) data for 2013-15 - https://doi.org/10.5285/fd8151e9-0ee2-4dfa-a254-470c9bb9bc1e .  The data were generated under Defra-funded work to assess the potential areas of acid and nitrogen sensitive habitats at risk of adverse impacts from excess atmospheric acid and nitrogen deposition.  Reducing the area and amount of critical load exceedance continues to be a driver of Government policy on reducing emissions of acidic and nitrogen-containing air pollutants (sulphur dioxide, nitrogen oxides and ammonia).","documentType":"GEMINI_DOCUMENT","familyName":["Hall","Rowe"],"fullName":["Hall, J.","Rowe, E."],"givenName":["J.","Ed"],"identifier":"e32745d2-fb56-4f91-a235-6b213a8b45cb","incomingCitationCount":0,"keyword":["Pollution","critical load","acidity","nitrogen","pollutant deposition"],"keywordsOther":["critical load","acidity","nitrogen","pollutant deposition"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Average Accumulated Exceedance (AAE) is calculated at 1x1 km resolution and summarises the exceedance of critical loads of acidity, and of nutrient nitrogen, for multiple habitats.  It is derived from the exceedance (i.e. the amount of excess acid or nitrogen deposition above the critical load) for each habitat, the exceeded habitat area and the total acid- or nitrogen-sensitive habitat area in each 1x1 km grid square.  \n\nFor all habitats (except managed woodland) nutrient nitrogen, empirical critical loads have been allocated values based on habitat type and have been defined under the Coordination Centre for Effects (CCE) working group as part of the UNECE Convention on Long-range Transboundary Air Pollution UNECE. ( https://wge-cce.org/Publications/Other_CCE_Reports/Review_and_revision_of_empirical_critical_loads_and_dose_response_relationships_2011 ) .  For managed woodlands the steady state mass-balance approach is used where the long-term inputs and outputs of nitrogen from the system are calculated based on  nitrogen uptake (removal by harvesting of trees), nitrogen immobilisation, denitrification, and nitrogen leaching. Acidity critical loads are based on the mineralogy and chemistry of the dominant soil type in each 1km grid square together with habitat-specific data. Critical load values are calculated depending on soil type - mineral soils or peat soils. \n\nCritical loads for acidity and nutrien nitoren are compared with deposition data over the UK using three-year rolling mean 5x5 km Concentration Based Estimated Deposition ( https://doi.org/10.5285/fd8151e9-0ee2-4dfa-a254-470c9bb9bc1e ). By overlaying CBED data of acid or nitrogen deposition on the critical loads data for acidity and nitrogen, exceedance maps can be generated. Simple statistics are further generated to quantify the area of sensitive habitats associated with critical load exceedances. Exceedances are calculated separately for each habitat type using habitat-specific deposition values: mean deposition to moorland (i.e., low-growing vegetation) is applied to the coastal, grassland, heathland and montane habitats; mean deposition to forests is applied to all woodland habitats. Critical loads for terrestrial habitats are mapped at 1km resolution and national deposition data are currently available on a 5 km grid. Exceedances for these habitats are calculated at 1km resolution by assuming that deposition values remain constant across each 5km grid square. Exceedances for freshwaters use catchment-weighted deposition values.\n\nFurther details are given in the supporting documentation which gives reference to the full online methodological report (2015).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:48:21.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e32745d2-fb56-4f91-a235-6b213a8b45cb","10.5285/e32745d2-fb56-4f91-a235-6b213a8b45cb","doi:10.5285/e32745d2-fb56-4f91-a235-6b213a8b45cb"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data resource consists of two files: (a) 1x1 km resolution Average Accumulated Exceedance (AAE) data summarising the exceedances of acidity critical loads for eight habitats; (b) 1x1 km resolution AAE data summarising the exceedances of nutrient nitrogen critical…","state":"published","supplementalDescription":["This website provides the key mechanism by which the scientific understanding of the effects of nitrogen and sulphur deposition on terrestrial and aquatic ecosystems is translated into policy-relevant predictions of the spatial extent and timescales of damage and recovery.  It brings together the mapping and modelling of critical loads and critical levels, pollutant deposition and concentrations, to generate critical load and critical level exceedance data.  "],"supplementalName":["UK Critical Loads and Dynamic Modelling"],"title":"Average Accumulated Exceedance (AAE) of critical loads of acidity and nutrient nitrogen by acid and nitrogen deposition for 2013-15","topic":["0/Pollution/"],"version":1.0,"view":["public","leav","dgwr"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Glanville","De Sosa","Marshall","Cooper","Jones"],"authorFullName":["Glanville, H.C.","De Sosa, L.L.","Marshall, M.R.","Cooper, D.M.","Jones, D.L."],"authorGivenName":["H.C.","L.L. ","M.R.","D.M.","D.L."],"authorOrcid":["0000-0002-8192-6678","0000-0003-2869-0616","0000-0001-7578-7918"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a low glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres). Soil cores were collected from a field experiment in the Conwy catchment in July 2016 and returned the laboratories of the School of Environment, Natural Resources and Geography, Bangor University. A high molecular weight substrate was added as a carbon source to the samples and the rate of 14C-substrate mineralization measured.\n\nAll the work was carried out by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\nThe measurements were taken to improve understanding of the relationship between microbial activity and soil properties and depth of sampling, under differing nutrient availability.\n\nThe data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Glanville","De Sosa","Marshall","Cooper","Jones"],"fullName":["Glanville, H.C.","De Sosa, L.L.","Marshall, M.R.","Cooper, D.M.","Jones, D.L.","Glanville, H."],"funder":["Natural Environment Research Council"],"givenName":["H.C.","L.L. ","M.R.","D.M.","D.L.","Helen"],"grant":["NE/J011991/1"],"identifier":"c29d2ce1-0295-439b-adf1-98ed59f73fae","incomingCitationCount":0,"keyword":["liquid scintillation counter ","North Wales","Conwy catchment","T2S","Turf2Surf","Macronutrient Cycling Programme","MCP","Environmental survey","Soil core"],"keywordsInstrument":["liquid scintillation counter "],"keywordsOther":["Soil core"],"keywordsPlace":["North Wales","Conwy catchment"],"keywordsProject":["T2S","Turf2Surf","Macronutrient Cycling Programme","MCP"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Soil cores were collected from the field site and returned to laboratories of the School of Environment, Natural Resources and Geography, Bangor University. In the laboratory soil cores were divided into depth intervals of 0-15, 15-30, 50-100, 100-150, 150-200 and 250-300 centimetres and passed through a 5 millimetre sieve in order to remove stones and any plant material and to ensure sample homogeneity. To measure the rate of 14C-substrate mineralization, 5 grams of soil (dry weight equivalent to account for soil water content variability down the soil profile) was placed into sterile 50 ml polypropylene tubes. To determine the rate of 14CO2 evolution, 50 microlitres (µl) of 14C-glucose labelled nutrient solution was added to the soil surface. Immediately after nutrient addition, a vial containing 1 millilitre (ml) Sodium Hydroxide (NaOH) trap (1 Molar (M)) was added into the polypropylene tubes to capture 14CO2 evolved. The tubes were hermetically sealed and incubated at 10 degrees Celsius to represent the mean annual temperature of the catchment. The NaOH traps were changed after 0.5, 1, 2, 4, 6, 24, 48, 72, 96, 120, 144, 168, 192, 336, 504, 672, 840 and 1008 hours and then weekly up to 6 weeks after initial 14C-labelling for the glucose-C additions. On removal, the NaOH traps were mixed with Optiphase HiSafe 3® liquid scintillation fluid (PerkinElmer Inc.) and the amount of 14CO2 captured was determined using a Wallac 1404 liquid scintillation counter (Wallac EG & G).\n\nData were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC","locations":["POLYGON((-3.784 53.201, -3.784 53.204, -3.781 53.204, -3.781 53.201, -3.784 53.201))"],"metadataDate":"2026-07-25T14:00:33.000Z","orcid":["0000-0002-8192-6678","0000-0003-2869-0616","0000-0001-7578-7918"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c29d2ce1-0295-439b-adf1-98ed59f73fae","10.5285/c29d2ce1-0295-439b-adf1-98ed59f73fae","doi:10.5285/c29d2ce1-0295-439b-adf1-98ed59f73fae"],"resourceType":"Dataset","ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Time series data of carbon release in disintegrations per minute are presented for different nitrogen and phosphorus treatments with a low glucose concentration substrate added as a carbon source to soil samples from six depths (0-15, 15-30, 50-100, 100-150, 150-200…","state":"published","supplementalDescription":["Project website"],"supplementalName":["Turf2Surf"],"title":"Time series of microbial carbon release from soil as carbon dioxide under different nitrogen and phosphorus treatments with a low glucose concentration added as a carbon source in the Conwy catchment, North Wales, UK (2016)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","danor"]},{"availability":"Available","catalogue":"eidc","description":"This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2018 (LCM2018).  It describes Great Britain and Northern Ireland land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  The data was derived by rasterising the corresponding LCM2018 land parcels datasets into 25m pixels.\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":["Rowland"],"fullName":["Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["Clare"],"grant":["NE/R016429/1"],"identifier":"032da3fa-10ba-42cc-b719-b19b6dfd11f5","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService","UK-SCAPE"],"keywordsOther":["infoMapAccessService","UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels dataset of LCM2018 was derived by rasterising the corresponding Land Parcels datasets. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:42:54.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-10T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/032da3fa-10ba-42cc-b719-b19b6dfd11f5"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2018 (LCM2018).  It describes Great Britain and Northern Ireland land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action…","state":"published","title":"Land Cover Map 2018 25m raster web service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","Queen's University Belfast"],"authorFamilyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley","Griffiths","McDonald","Caruso","Ilardi"],"authorFullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S.","Griffiths, R.","McDonald, R.","Caruso, T.","Ilardi, M."],"authorGivenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","R.","T.","M."],"authorOrcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420","0000-0002-3607-9609"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/00hswnk62"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley","Griffiths","McDonald","Caruso","Ilardi"],"fullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S.","Griffiths, R.","McDonald, R.","Caruso, T.","Ilardi, M.","Fry, E."],"funder":["Natural Environment Research Council"],"givenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","R.","T.","M.","Ellen"],"grant":["NE/J014680/1"],"identifier":"e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","incomingCitationCount":0,"keyword":["Salisbury Plain","Wessex BESS","PAR","ecosystem respiration","net ecosystem CO2 exchange","nitrous oxide","methane","carbon dioxide","photosynthesis","ammonium","nitrate","bulk density","soil moisture"],"keywordsOther":["PAR","ecosystem respiration","net ecosystem CO2 exchange","nitrous oxide","methane","carbon dioxide","photosynthesis","ammonium","nitrate","bulk density","soil moisture"],"keywordsPlace":["Salisbury Plain"],"keywordsProject":["Wessex BESS"],"licence":"Open government licence","lineage":"For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). For soil extractable nitrate and ammonium using potassium chloride and water, the analysis used 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. For carbon and nitrogen extracted from ground soil extracts standards (acetanilide) and blanks were run every 20 samples. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-2.08 50.986, -2.08 50.998, -2.063 50.998, -2.063 50.986, -2.08 50.986))"],"metadataDate":"2026-09-02T13:40:28.000Z","orcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420","0000-0002-3607-9609"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","Queen's University Belfast","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6","doi:10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6"],"resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/00hswnk62","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey…","state":"published","title":"Ecosystem functions and vegetation data for Winklebury Hill, Salisbury Plain, UK 2016","version":1.0,"view":["public","shar1"]},{"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 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2018 20m classified pixels dataset.  All further LCM2018 datasets for Great Britain 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 to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of 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":"9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","incomingCitationCount":1,"keyword":["Land cover","Mapping","vector","LCM2018","UK-SCAPE"],"keywordsOther":["vector","LCM2018","UK-SCAPE"],"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((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:06:39.000Z","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/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6","doi:10.5285/9f7f7f70-5137-4bfc-a6a3-f91783d5a6a6"],"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 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This…","state":"published","title":"Land Cover Map 2018 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Dugdale","Field","Johnson","Mariani","Pugh","Schrodt","Thorne"],"authorFullName":["Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C."],"authorGivenName":["S.J.","R.","M.","B.","F.","C."],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following the Holiday Farm wildfire in 2020.\n\nRaw satellite imagery acquired in June 2020 and June 2021 was processed to calculate Normalised Burn Ratio (NBR), giving pre- and post-fire burn severity information. Data consist of 10 m .TIF raster imagery where a digital number gives a measure of burn severity; high NBR values indicate healthy vegetation, whereas lower values indicate burnt areas or bare ground.\n\nThe study was conducted by the University of Nottingham, in partnership with the US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.","documentType":"GEMINI_DOCUMENT","familyName":["Dugdale","Field","Johnson","Mariani","Pugh","Schrodt","Thorne"],"fullName":["Dugdale, S.J.","Field, R.","Johnson, M.","Mariani, M.","Pugh, B.","Schrodt, F.","Thorne, C."],"givenName":["S.J.","R.","M.","B.","F.","C."],"identifier":"8162887a-5481-440f-a7f2-427eee793efd","incomingCitationCount":0,"keyword":["Burn severity","Normalised burn ratio","Sentinel-2","South fork mckenzie","Stage zero","Wildfire","fire","river","restoration"],"keywordsOther":["Burn severity","Normalised burn ratio","Sentinel-2","South fork mckenzie","Stage zero","Wildfire","fire","river","restoration"],"licence":"Open government licence","lineage":"20 m bands of Two Sentinel-2A images of study site (pre/post-fire; June 2020 and 2021) were super-resolved to 10m following Lanaras et al (2018)\n\nThese data were subsequently used to generate raster files depicting 10m resolution Normalised Burn Ratio (NBR) across South Fork McKenzie River, where NBR = (Sentinel Band B08 - B12) / (B08 + B12), following the methodology outlined in Keeley (2009).  Subtraction of postfire from prefire NBR rasters facilitates estimation of burn severity by highlighting vegetation burn in relation to pre-burnt state.\n\nLanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319 https://doi.org/10.1016/j.isprsjprs.2018.09.018\n\nKeeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126. https://doi.org/10.1071/WF07049\n\n","locations":["POLYGON((-122.29 44.13, -122.29 44.16, -122.23 44.16, -122.23 44.13, -122.29 44.13))"],"metadataDate":"2026-07-25T08:36:05.000Z","organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8162887a-5481-440f-a7f2-427eee793efd","10.5285/8162887a-5481-440f-a7f2-427eee793efd","doi:10.5285/8162887a-5481-440f-a7f2-427eee793efd"],"resourceType":"Dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise Sentinel-2 derived burn severity rasters covering restored and unrestored reaches of the South Fork McKenzie river, Oregon USA. The data were collected in order to quantify differences in burn severity in restored and unrestored river reaches following…","state":"published","supplementalDescription":["Lanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018). Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network. ISPRS Journal of Photogrammetry and Remote Sensing, 146, 305-319","Keeley, J.E. (2009). Fire intensity, fire severity and burn severity: a brief review and suggested usage. International Journal of Wildland Fire, 18, 116-126."],"title":"High resolution burn severity data (derived from satellite imagery) for the South Fork McKenzie River in Oregon, USA, before and after a wildfire event, 2020 and 2021","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Jarvis","Arnett","Redhead","Pywell"],"authorFullName":["Jarvis, S.","Arnett, J.","Redhead, J.","Pywell, R."],"authorGivenName":["Susan","Jack","John","Richard"],"authorOrcid":["0000-0001-5382-5135","0000-0002-2233-3848","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"UKCEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland for three time periods (2012-2014, 2016-2018, 2020-2022). The product provides application estimates for 183 different active ingredients including herbicides, insecticides, molluscicides and fungicides. It is produced at a 1km resolution with units of kg active ingredient applied per year. This version of UKCEH Land Cover plus: Pesticides provides average annual application for three different time periods (2012-2014, 2016-2018, 2020-2022), allowing users to assess change in applications over time. This differs from the previous version of UKCEH Land Cover plus: Pesticides which provided a snapshot for a single time period (2012-2017).\n\nPesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, using information from CEH Land Cover® Plus: Crops to determine where each crop is grown. A backcasting method was used to estimate crop cover for the earliest time period. Pesticide application data is provided by the Pesticide Usage Survey. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product builds upon the UKCEH Land Cover® Plus: Crops product.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Arnett","Redhead","Pywell"],"fullName":["Jarvis, S.","Arnett, J.","Redhead, J.","Pywell, R.","Susan Jarvis"],"funder":["Natural Environment Research Council"],"givenName":["Susan","Jack","John","Richard"],"grant":["NE/W005050/1"],"identifier":"d4259244-ce78-4248-811f-216495c32fec","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Mapping","Pollution","plant protection product","herbicide","fungicide","insecticide"],"keywordsOther":["plant protection product","herbicide","fungicide","insecticide"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Pollution"],"licence":"Non-Open government licence","lineage":"The maps use data from the Fera Pesticide Utilisation Surveys (PUS), SASA (Science and Advice for Scottish Agriculture) Pesticide Survey Unit and CEH Land Cover® plus: Crops and have been assessed for quality. Briefly, data on pesticide application rates at county level are interpolated and matched to cropping data to create an estimate of application to each 1km square in England, Scotland and Wales for each time period. For further information, please see the supporting documentation available with this data product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:07:09.000Z","orcid":["0000-0001-5382-5135","0000-0002-2233-3848","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4259244-ce78-4248-811f-216495c32fec","10.5285/d4259244-ce78-4248-811f-216495c32fec","doi:10.5285/d4259244-ce78-4248-811f-216495c32fec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"UKCEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland for three time periods (2012-2014, 2016-2018, 2020-2022). The product provides application estimates for 183 different active ingredients including herbicides,…","state":"published","title":"UKCEH Land Cover plus: Pesticides 2012-2014, 2016-2018 and 2020-2022 (England, Scotland and Wales)","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["D.","A.","J.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly intervals and intermittently during periods of high flows. All sites were samples from early 1994 to the end of 1996 except for O12, which was sampled from November 1994 till November 1996. The sampling was carried out by the LOIS team at York University. The unfiltered samples were transported to the Institute of Terrestrial Ecology, Monks Wood, UK, where they were extracted with hexane, cleaned up by alumina column chromatography, concentrated and then analysed for CBs by Gas Chromatography-Mass Spectrometry (GC-MS) and PCBs and OCs by Gas Chromatography with Electron Capture Detection (GC-ECD).","documentType":"GEMINI_DOCUMENT","familyName":["Leach","Meharg","Wright","Bachiller-Jareno","Tindall","Moore","Fry"],"fullName":["Leach, D.","Meharg, A.","Wright, J.","Bachiller-Jareno, N.","Tindall, I.","Moore, R.","Fry, M."],"givenName":["D.","A.","J.","N.","I.","R.","Matt"],"identifier":"40ba6fd0-3d41-4520-8d78-cc8c893fd974","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsOther":["water quality","Tetrachlorobenzene","Dichlorobenzene","Trichlorobenzene","Chlorobenzene","DDE","DDT","Dieldrin","Hexachlorobenzene","Hexachloro-1-3-butadiene","PCB","Pentachlorobenzene","TDE","Land Ocean Interaction Study","LOIS","Water Resources","Sustainable Land Management","Ecological Processes & Resilience","Pollution","Rees Section"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"licence":"Open government licence","lineage":"Prior to analysis the samples were stored in the dark at 4 degreesC. The sample (500ml) was transferred to a volumetric flask and extracted with 5 x 10ml aliquots of hexane. The hexane extract was transferred to a to a Kuderna-danish flask via a funnel containing anhydrous sodium sulphate and reduced to approx. 1.5ml at 80 degreesC. The extract was adjusted to exactly 1.0ml under a stream of nitrogen. The whole of the reduced extract was cleaned up on a glass column containing 0.8g of alumina deactivated with 5% water. The cleaned up extract was then reduced to 0.5ml under a stream of nitrogen. An internal standard was added (Dichlobenyl) and each extract split equally into two chromatography vials. Chlorobenzenes were analysed by GC-MS in select ion mode. Organochlorine pesticides and PCB congeners were analysed by GC-ECD. A spiked recovery and a sample blank were included with each batch of samples. The results were not corrected for recovery losses. Limits of detection were defined as the concentration of analyte that gives a signal twice that of the baseline noise. Blank sample bottles were taken into the field during sample collection and opened and closed on site. The blank bottles were extracted with 5 x 10ml of hexane and the hexane extracts analysed by the procedure used for the samples. Spiked recovery samples (hexane washed HPLC grade water, containing 0.5g of clean clay particles, spiked with all the analytes) were included in each batch. OCs and PCBs were identified by relative retention time. CBs were identified by relative retention time and ion ratios (3 ions). Calibration was by the internal standard method. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-09-02T13:48:23.000Z","organisation":["University of York","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373030045461","CEH:EIDC::1373030045461","https://catalogue.ceh.ac.uk/id/40ba6fd0-3d41-4520-8d78-cc8c893fd974","10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974","doi:10.5285/40ba6fd0-3d41-4520-8d78-cc8c893fd974"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS). Data were collected at regular weekly…","state":"published","title":"Polychlorinated biphenyls (PCB), chlorobenzenes (CB) and organochlorine pesticides (OC) data from rivers [LOIS]","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["The James Hutton Institute","Lancaster University","Swedish University of Agricultural Sciences, SLU","Helmholtz-Centre for Environmental Research UFZ"],"authorFamilyName":["Trojahn","Lilly","Baggaley","Davies","Gagkas","Haygarth","Laudon","Musolff","Pihlblad","Watson","Stutter"],"authorFullName":["Trojahn, S.","Lilly, A.","Baggaley, N.J.","Davies, J.","Gagkas, Z.","Haygarth, P.M.","Laudon, H.","Musolff, A.","Pihlblad, J.","Watson, H.","Stutter, M."],"authorGivenName":["S.","A","N.J.","J.","Z.","P.M.","H.","A.","M."],"authorOrcid":["0000-0002-9639-2285","0000-0002-0142-9269","0000-0002-7530-0484","0000-0001-9832-7412","0000-0002-9477-4407","0000-0002-1672-6290","0000-0001-6058-1466","0000-0002-0115-1359","0000-0002-6679-4750","0000-0003-1483-376X"],"authorRor":["https://ror.org/03rzp5127","https://ror.org/04f2nsd36","https://ror.org/02yy8x990","https://ror.org/000h6jb29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains soil physicochemical characterisation data collected from riparian observatories in the UK (Scotland and England) and complementary international observation sites in Germany and Sweden. Measurements include soil pH, organic carbon, total nitrogen, extractable phosphorus, major cations and anions, bulk density, and related parameters describing soil characterisations such a texture. The data provides insight into nutrient status and geochemical variability across riparian zones with differing land uses, vegetation, and climatic conditions.\n\n The accompanying metadata file details data table titles, analytical methods, limit of detection and units of measurement to facilitate reuse and interpretation. Soil samples were collected as part of the NERC-funded project \"Accelerating Nutrient Cycles at the Riparian Land : Water Interface\" (NE/V012460/1) investigating riparian zone biogeochemistry across temperate regions.","documentType":"GEMINI_DOCUMENT","familyName":["Trojahn","Lilly","Baggaley","Davies","Gagkas","Haygarth","Laudon","Musolff","Pihlblad","Watson","Stutter"],"fullName":["Trojahn, S.","Lilly, A.","Baggaley, N.J.","Davies, J.","Gagkas, Z.","Haygarth, P.M.","Laudon, H.","Musolff, A.","Pihlblad, J.","Watson, H.","Stutter, M."],"funder":["Natural Environment Research Council"],"givenName":["S.","A","N.J.","J.","Z.","P.M.","H.","A.","M.","S"],"grant":["NE/V012460/1"],"identifier":"4781c0ed-d5b4-41f7-bbfd-94a6a11a77b5","incomingCitationCount":0,"keyword":["Environmental survey","Hydrology","riparian zone","soil","soil chemistry","soil physics","soil nutrients","soil texture","pH","organic carbon","nitrogen","phosphorus","cation","anion","bulk density","hydrology","catchment","environmental monitoring","biogeochemistry","temperate climate"],"keywordsOther":["riparian zone","soil","soil chemistry","soil physics","soil nutrients","soil texture","pH","organic carbon","nitrogen","phosphorus","cation","anion","bulk density","hydrology","catchment","environmental monitoring","biogeochemistry","temperate climate"],"keywordsTheme":["Environmental survey","Hydrology"],"licence":"Open government licence","lineage":"Standardised field sampling protocols were applied at each observatory site, with subsamples taken from representative soil horizons. \nAnalytical methods followed standard procedures used in soil science (e.g. elemental analysis, ICP-OES). Data from multiple sites were collated into a harmonised dataset. Quality assurance steps included cross-checking of units and analytical methods, standard material measurements, screening for outliers, validation against field notes and laboratory records. \n\nThe final dataset includes all verified observations aggregated into a single file (all_soil_chem_data_final.csv), with accompanying metadata (all_soil_chem_data_metadata.csv) describing variable definitions, units, and analytical procedures.","locations":["POLYGON((-11.073 46.8, -11.073 69.006, 25.054 69.006, 25.054 46.8, -11.073 46.8))"],"metadataDate":"2026-07-24T21:18:01.000Z","orcid":["0000-0002-9639-2285","0000-0002-0142-9269","0000-0002-7530-0484","0000-0001-9832-7412","0000-0002-9477-4407","0000-0002-1672-6290","0000-0001-6058-1466","0000-0002-0115-1359","0000-0002-6679-4750","0000-0003-1483-376X"],"organisation":["The James Hutton Institute","Lancaster University","Swedish University of Agricultural Sciences, SLU","Helmholtz-Centre for Environmental Research UFZ","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4781c0ed-d5b4-41f7-bbfd-94a6a11a77b5","10.5285/4781c0ed-d5b4-41f7-bbfd-94a6a11a77b5","doi:10.5285/4781c0ed-d5b4-41f7-bbfd-94a6a11a77b5"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/03rzp5127","https://ror.org/04f2nsd36","https://ror.org/02yy8x990","https://ror.org/000h6jb29","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains soil physicochemical characterisation data collected from riparian observatories in the UK (Scotland and England) and complementary international observation sites in Germany and Sweden. Measurements include soil pH, organic carbon, total nitrogen,…","state":"published","title":"Soil characterisation data from UK riparian observatories and international observation sites, 2023-2024","topic":["0/Environmental survey/","0/Hydrology/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["National University of Santiago Antunez Mayolo","Centro de Ornitología y Biodiversidad (CORBIDI)","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Northumbria University","University of Leeds"],"authorFamilyName":["Palacios","Medina","Loarte","Castañeda","Gamboa","Polo","Tapia","Pellicciotti","Brown"],"authorFullName":["Palacios, E.","Medina, K.","Loarte, E.","Castañeda, A.","Gamboa, M.","Polo, R.","Tapia, P.","Pellicciotti, F.","Brown, L."],"authorGivenName":["E.","K.","A.","M.","R.","P.","F.","L."],"authorOrcid":["0000-0001-5295-3901","0000-0002-2910-6808","0000-0003-3123-1904","0000-0001-9230-2177","0000-0003-2316-123X","0000-0001-5065-7770","0000-0002-0708-4468","0000-0002-5554-8087","0000-0002-2420-0088"],"authorRor":["https://ror.org/03w7bgm07","https://ror.org/03a5ms192","https://ror.org/01ff0t864","https://ror.org/049e6bc10","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included.\n\nThis data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates.\n\nThe sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. \n\nThe study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú.","documentType":"GEMINI_DOCUMENT","familyName":["Palacios","Medina","Loarte","Castañeda","Gamboa","Polo","Tapia","Pellicciotti","Brown"],"fullName":["Palacios, E.","Medina, K.","Loarte, E.","Castañeda, A.","Gamboa, M.","Polo, R.","Tapia, P.","Pellicciotti, F.","Brown, L."],"funder":["Natural Environment Research Council","Newton-Paulet Fund","Fondo Nacional de Desarrollo Científico y Tecnológico"],"givenName":["E.","K.","A.","M.","R.","P.","F.","L."],"identifier":"3684da74-6c6d-4f25-867b-62b7b68175f6","incomingCitationCount":0,"keyword":["Cordillera Blanca","Peru","Hydrology","river","glacier","conductivity","anion","Pfankuch index","dissolved organic carbon","dissolved inorganic nitrogen","phosphorus","turbidity","pH"],"keywordsOther":["river","glacier","conductivity","anion","Pfankuch index","dissolved organic carbon","dissolved inorganic nitrogen","phosphorus","turbidity","pH"],"keywordsPlace":["Cordillera Blanca","Peru"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Field environmental parameters were measured with the previously calibrated Multi 3630 IDS multiparametric instrument. Water samples were collected for analysis of metal ions, anions and nutrients in the laboratory of the Faculty of Environment, University of Leeds, England. Calibration standards with known concentrations were used to ensure the accuracy and precision of the measurements. More detail is available in the supporting documentation accompanying the data.","locations":["POLYGON((-81.411 -18.348, -81.411 -0.057, -68.665 -0.057, -68.665 -18.348, -81.411 -18.348))"],"metadataDate":"2026-07-24T20:37:12.000Z","orcid":["0000-0001-5295-3901","0000-0002-2910-6808","0000-0003-3123-1904","0000-0001-9230-2177","0000-0003-2316-123X","0000-0001-5065-7770","0000-0002-0708-4468","0000-0002-5554-8087","0000-0002-2420-0088"],"organisation":["National University of Santiago Antunez Mayolo","Centro de Ornitología y Biodiversidad (CORBIDI)","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Northumbria University","University of Leeds","NERC EDS Environmental Information Data Centre","National Environmental Research Council"],"publicationDate":"2024-07-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3684da74-6c6d-4f25-867b-62b7b68175f6","10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6","doi:10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6"],"resourceType":"Dataset","rightsHolder":["National Environmental Research Council"],"ror":["https://ror.org/03w7bgm07","https://ror.org/03a5ms192","https://ror.org/01ff0t864","https://ror.org/049e6bc10","https://ror.org/024mrxd33","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total…","state":"published","title":"Physicochemical data of glacier rivers in the Cordillera Blanca, Peru, 2019-2020","topic":["0/Hydrology/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of York","University of Exeter","University of Sheffield","University of Manchester"],"authorFamilyName":["Keane","Hartley","Phoenix","Taylor"],"authorFullName":["Keane, J.B.","Hartley, I.P.","Phoenix, G.K.","Taylor, C.R."],"authorGivenName":["J.B.","I.P.","G.K.","C.R."],"authorOrcid":["0000-0001-7614-8018","0000-0002-9183-6617","0000-0002-0911-8107","0000-0003-4399-7472"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on bio-available phosphorus and microbial biomass phosphorus from two UK grassland soils and how this is affected by elevated CO2 (eCO2). The soils are from naturally phosphorus limited grasslands in the Peak District National Park, in northern England. The grasslands were exposed to eCO2 of 600 ppm, and ambient CO2 controls were maintained at ca. 400 ppm for three growing seasons (2018-2020). Soils were sampled once each year in October, and underwent extraction (bio-available phosphorus) or chloroform-fumigation-extraction (microbial biomass phosphorus) with 0.5M NaHCO3. Concentrations of phosphorus in the extracts were determined by ICP-OES. ","documentType":"GEMINI_DOCUMENT","familyName":["Keane","Hartley","Phoenix","Taylor"],"fullName":["Keane, J.B.","Hartley, I.P.","Phoenix, G.K.","Taylor, C.R.","Keane, B."],"funder":["Natural Environment Research Council"],"givenName":["J.B.","I.P.","G.K.","C.R.","Ben"],"grant":["NE/N0100086/1","NE/N010132/1"],"identifier":"35921c93-2d9e-4e35-8de5-adbfc37641b4","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","Soil microbial biomass","Elevated CO2","phosphorus","grassland","carbon dioxide","biomass","soil"],"keywordsOther":["Soil microbial biomass","Elevated CO2","phosphorus","grassland","carbon dioxide","biomass","soil"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were processed in the laboratories of the University of Sheffield and soil extracts were analysed at the University of Exeter. Internal standards were used to quantify phosphorus concentrations and soil microbial phosphorus values which were unrealistic (negative) were discarded. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:36:24.000Z","orcid":["0000-0001-7614-8018","0000-0002-9183-6617","0000-0002-0911-8107","0000-0003-4399-7472"],"organisation":["University of York","University of Exeter","University of Sheffield","University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/35921c93-2d9e-4e35-8de5-adbfc37641b4","10.5285/35921c93-2d9e-4e35-8de5-adbfc37641b4","doi:10.5285/35921c93-2d9e-4e35-8de5-adbfc37641b4"],"resourceType":"Dataset","rightsHolder":["University of Sheffield","University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/05krs5044","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset contains information on bio-available phosphorus and microbial biomass phosphorus from two UK grassland soils and how this is affected by elevated CO2 (eCO2). The soils are from naturally phosphorus limited grasslands in the Peak District National Park,…","state":"published","title":"Extractable phosphorus and microbial biomass phosphorus from two UK grassland soils under elevated CO2, 2018-2020","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr"],"authorFullName":["Jones, I.","Feuchtmayr, H."],"authorGivenName":["I.","H."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr"],"fullName":["Jones, I.","Feuchtmayr, H."],"givenName":["I.","H.","Heidrun"],"identifier":"94abcb39-84a6-428e-a90f-156452197d79","incomingCitationCount":0,"keyword":["Lake District ","England","freshwater","lake"],"keywordsOther":["freshwater","lake"],"keywordsPlace":["Lake District ","England"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Esthwaite Waiter are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2008 to 2011. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-3.001 54.345, -3.001 54.375, -2.968 54.375, -2.968 54.345, -3.001 54.345))"],"metadataDate":"2026-09-02T13:44:47.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94abcb39-84a6-428e-a90f-156452197d79","10.5285/94abcb39-84a6-428e-a90f-156452197d79","doi:10.5285/94abcb39-84a6-428e-a90f-156452197d79"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Esthwaite Water, a lake in the North West of England. The lake temperatures are measured in various depths of the lake…","state":"published","title":"Data from automatic water monitoring buoy from Esthwaite Water, 2008 to 2011","version":1.0,"view":["public","clamw"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}