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The datasets contain 286 diurnal N¬2O flux datasets and 160 diurnal soil temperature datasets, which were extracted from 46 published journal articles that were selected from a literature search and passed through a set of eligibility criteria. The datasets also include processed diurnal N¬2O flux data, which were used to classify the diurnal N¬2O pattern of the datasets. Data of non-diurnal factors from the literature including soil pH, bulk density, soil texture, season of measurement, soil water-filled pore space, irrigation and grazing are also included in the datasets. ","documentType":"GEMINI_DOCUMENT","familyName":["Wu","Bradley"],"fullName":["Wu, Y.F.","Bradley, A."],"givenName":["Y.F.","A."],"identifier":"94e37080-4383-4f6e-b14a-04ac2ac79bf0","incomingCitationCount":0,"keyword":["nitrous oxide","N2O flux","soil","agriculture","greenhouse gas","nitrogen oxides"],"keywordsOther":["nitrous oxide","N2O flux","soil","agriculture","greenhouse gas","nitrogen oxides"],"licence":"Open government licence","lineage":"Diurnal N¬2O flux and soil temperature data were extracted from figures presented in literature using a data recovery tool – ‘engauge digitizer’ which convert graphic presentations of data to numeric data. Diurnal N¬2O flux data were normalised to eliminate magnitude differences between datasets. Diurnal N¬2O flux datasets were further processed by identifying the times of highest, second highest, lowest and second lowest flux, as well as calculating the percentage of emission between certain 12-hour periods (e.g. 6am – 6pm) over the full day of measurement using trapezoidal integration, to categorise the diurnal N¬2O pattern of each dataset. Other non-diurnal factors were extracted from literature and recorded onto their corresponding diurnal N¬2O flux datasets.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:18:29.000Z","orcid":["0000-0002-0729-7842","0000-0003-1062-4768"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2021-07-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94e37080-4383-4f6e-b14a-04ac2ac79bf0","10.5285/94e37080-4383-4f6e-b14a-04ac2ac79bf0","doi:10.5285/94e37080-4383-4f6e-b14a-04ac2ac79bf0"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets were used for a study investigating the prevalence of diurnal variability of soil nitrous oxide (N¬2O) emissions. The datasets contain 286 diurnal N¬2O flux datasets and 160 diurnal soil temperature datasets, which were extracted from 46 published journal…","state":"published","temporalExtentText":"Data collected from 1983 to 2019","title":"Diurnal soil nitrous oxide emission, soil temperature and other non-diurnal parameter data, UK, 1983-2019, collated from literature","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Bristol","Durham University"],"authorFamilyName":["Noacco","Wagener","Worrall","Burt","Howden"],"authorFullName":["Noacco, V.","Wagener, T.","Worrall, F.","Burt, T.P.","Howden, N.J.K."],"authorGivenName":["V.","T.","F.","T. P.","N. J. K."],"authorOrcid":["0000-0003-2600-7334","0000-0003-3881-5849"],"authorRor":["https://ror.org/0524sp257","https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset consists of the world's longest fluvial dissolved organic carbon (DOC) record (1883-2014). The data have been measured at the outlet of the Thames basin, upstream of London (UK) and are reported monthly. The River Thames basin is a temperate, lowland, mineral soil-dominated catchment of 9,948 km2. Water colour data have been measured between 1883 and 1990, and DOC between 1990 and 2014. DOC until 1990 has been estimated through calibration between water colour and DOC for the period 1899-1905 when OC measurements were available. The fluvial DOC concentration shows an upward trend throughout the period. The data are presented as one table and one supporting file containing metadata and are summarised and presented in the Journal of Geophysical Research - Biogeosciences doi: 10.1002/2016JG003614.\n","documentType":"GEMINI_DOCUMENT","familyName":["Noacco","Wagener","Worrall","Burt","Howden"],"fullName":["Noacco, V.","Wagener, T.","Worrall, F.","Burt, T.P.","Howden, N.J.K."],"funder":["Natural Environment Research Council"],"givenName":["V.","T.","F.","T. P.","N. J. K.","Valentina"],"grant":["NE/J500033/1"],"identifier":"57943561-4587-4eb6-b14c-7adb90dc1dc8","incomingCitationCount":0,"keyword":["Thames Basin","Dissolved organic carbon","Water colour"],"keywordsOther":["Dissolved organic carbon","Water colour"],"keywordsPlace":["Thames Basin"],"licence":"Open government licence","lineage":"Water color data and DOC concentration measurements (> 20,000 samples) were obtained by statutory authorities between 1883 and 2014 for the Thames at Hampton (51.42°N, 0.37°W) and at Teddington (51.43° N, 0.33° W), respectively. Water colour between 1883 and 1974 was measured following the method presented in Thresh et al., (1943). While water colour (1974-1990) and DOC (1990-2014) measurements were defined within the establishment of the Harmonised Monitoring Scheme. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Noacco, V., T. Wagener, F. Worrall, T. P. Burt, and N. J. K. Howden (2017), Human impact on long-term organic carbon export to rivers, Journal of Geophysical Research - Biogeosciences https://doi.org/10.1002/2016JG003614.\n","locations":["POLYGON((-0.395 51.384, -0.395 51.446, -0.282 51.446, -0.282 51.384, -0.395 51.384))"],"metadataDate":"2026-07-24T23:06:27.000Z","orcid":["0000-0003-2600-7334","0000-0003-3881-5849"],"organisation":["University of Bristol","Durham University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57943561-4587-4eb6-b14c-7adb90dc1dc8","10.5285/57943561-4587-4eb6-b14c-7adb90dc1dc8","doi:10.5285/57943561-4587-4eb6-b14c-7adb90dc1dc8"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of the world's longest fluvial dissolved organic carbon (DOC) record (1883-2014). The data have been measured at the outlet of the Thames basin, upstream of London (UK) and are reported monthly. The River Thames basin is a temperate, lowland, mineral…","state":"published","supplementalDescription":["Noacco, V., Wagener, T., Worrall, F., Burt, T. P., & Howden, N. J. K. (2017). Human impact on long-term organic carbon export to rivers. Journal of Geophysical Research: Biogeosciences, 122(4), 947-965. "],"title":"Monthly Dissolved Organic Carbon (DOC) concentration time series (1883 to 2014) measured at the outlet of the Thames basin (UK)","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Institute of Terrestrial Ecology"],"authorFamilyName":["Adamson"],"authorFullName":["Adamson, J.K."],"authorGivenName":["J.K."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset consists of solute concentrations (Potassium, Calcium, Magnesium, Iron, Sodium, Aluminium, Phosphate, Nitrate, Ammonium, Chlorine, Sulphate), also pH and suspended solids, in waters sampled from clear felled and standing Sitka spruce (Picea sitchensis) forest ecosystems in Kershope Forest, Cumbria, UK. Water samples were collected from the ecosystem of a Sitka spruce plantation at weekly intervals for six years. The drainage system of the site had been designed to divide the plantation into a series of artificial catchments, three of which were designated experimental plots and clearfelled in the second year of sampling while three others were the control plots which remained unfelled until the end of the study. This work formed part of a programme of field and laboratory work to determine the effects of felling plantation forest on soil processes. Samples were collected by staff from the Institute of Terrestrial Ecology (ITE) between 1981 and 1987. ","documentType":"GEMINI_DOCUMENT","familyName":["Adamson"],"fullName":["Adamson, J.K."],"givenName":["J.K."],"identifier":"3f22ef89-22d3-4876-a99e-7ee28f775e0e","incomingCitationCount":0,"keyword":["Cumbria","Kershope Forest","Water quality","Picea sitchensis","Sitka spruce"],"keywordsOther":["Picea sitchensis","Sitka spruce"],"keywordsPlace":["Cumbria","Kershope Forest"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Samples were collected by staff from the Institute of Terrestrial Ecology (ITE), Merlewood, Grange over Sands, Cumbria between 1981 and 1987. Chemical analysis of samples was undertaken by the Chemical Analysis Section, ITE Merlewood, Cumbria. Data have since been managed by the Centre for Ecology & Hydrology. Please see online supporting information for further details. ","locations":["POLYGON((-2.802 55.097, -2.802 55.111, -2.785 55.111, -2.785 55.097, -2.802 55.097))"],"metadataDate":"2026-07-24T20:41:22.000Z","organisation":["Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-08-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1305730313657","CEH:EIDC::1305730313657","https://catalogue.ceh.ac.uk/id/3f22ef89-22d3-4876-a99e-7ee28f775e0e","10.5285/3f22ef89-22d3-4876-a99e-7ee28f775e0e","doi:10.5285/3f22ef89-22d3-4876-a99e-7ee28f775e0e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of solute concentrations (Potassium, Calcium, Magnesium, Iron, Sodium, Aluminium, Phosphate, Nitrate, Ammonium, Chlorine, Sulphate), also pH and suspended solids, in waters sampled from clear felled and standing Sitka spruce (Picea sitchensis) forest…","state":"published","temporalExtentText":"Data collected from 1981 to 1987","title":"Solute concentrations in water samples from clearfelled and standing Sitka spruce (Picea sitchensis) forest ecosystems, Kershope Forest","topic":["0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"This series of datasets consists of monthly mean inshore surface water temperature (degrees C) data from Windermere, total weekly catch data of mature Perch (Perca fluviatilis) from trapping at Green Tuft, Windermere and weekly mean sizes of Perch from trapping at Green Tuft, Windermere. The data presented were sampled between 1946 and 2012 from Windermere, a lake in northern England. The data were collected by the Freshwater Biological Association (FBA) and then by the Centre for Ecology & Hydrology and its predecessor Institute of Freshwater Ecology (IFE). The files available in this series were used in Ohlberger et al. (2014) Proceedings of the Royal Society B (When phenology matters: Age-size truncation alters population response to trophic mismatch). ","documentType":"GEMINI_DOCUMENT","identifier":"ed05bf51-c3be-46f9-a1af-2e0789273bd5","incomingCitationCount":0,"keyword":["Windermere","Lake District","fish","water temperature","perch","monthly"],"keywordsOther":["monthly"],"keywordsPlace":["Windermere","Lake District"],"keywordsTheme":["fish","water temperature","perch"],"licence":"Open government licence","lineage":"The data presented here have been gathered during long term monitoring activity on Windermere, a lake in northern England. Lake temperature has been monitored since 1933 and perch trapping has been carried out since 1943. Monitoring has been undertaken both by the Freshwater Biological Association and by the Centre for Ecology & Hydrology and its predecessor Institute of Freshwater Ecology (IFE). Please see the supporting documentation accompanying each dataset record for further information. ","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"metadataDate":"2026-07-25T14:53:13.000Z","organisation":["Natural Environment Research Council","Freshwater Biological Association","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-08-14T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1407501852848","CEH:EIDC::1407501852848","https://catalogue.ceh.ac.uk/id/ed05bf51-c3be-46f9-a1af-2e0789273bd5"],"resourceType":"Aggregation","ror":["https://ror.org/02b5d8509","https://ror.org/02j85cg51","https://ror.org/00pggkr55"],"shortenedDescription":"This series of datasets consists of monthly mean inshore surface water temperature (degrees C) data from Windermere, total weekly catch data of mature Perch (Perca fluviatilis) from trapping at Green Tuft, Windermere and weekly mean sizes of Perch from trapping at Green…","state":"published","supplementalDescription":["Ohlberger, J., Thackeray, S. J., Winfield, I. J., Maberly, S. C., & Vollestad, L. A. (2014). When phenology matters: age-size truncation alters population response to trophic mismatch. Proceedings of the Royal Society B: Biological Sciences, 281(1793), 20140938-20140938."],"temporalExtentText":"Data collected from 1946 to 2012","title":"Windermere perch data 1946-2012","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Stirling"],"authorFamilyName":["Waddell","Chapman"],"authorFullName":["Waddell, E.H.","Chapman, D.S."],"authorGivenName":["E.H.","D.S."],"authorOrcid":["0000-0003-2555-6390","0000-0003-1836-4112"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["R code"],"description":"This code uses pathway modelling to look at correlations of exotic plant invasion in tropical rainforest remnants and continuous sites. Partial least squares path-modelling looks at correlations between latent variables that are informed by measured variables. The code examines the relative influence of landscape-level fragmentation, local forest disturbance, propagule pressure, soil characteristics and native community composition on invasion. The total native community is examined first. Then subsets of the native community are modelled separately, adult trees, tree saplings, tree seedlings and ground vegetation. The relationship between the native and exotic communities was tested in both directions. \n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Waddell","Chapman"],"fullName":["Waddell, E.H.","Chapman, D.S.","Waddell, E."],"givenName":["E.H.","D.S.","Emily"],"identifier":"adbf6d29-ee7b-4dd1-9730-11d2308d526c","incomingCitationCount":1,"keyword":["Borneo","Agriculture","Biodiversity","Invasive species","Land cover","Land use","Soil","Agricultural landscapes","Roundtable on Sustainable Palm Oil","Sustainable agriculture","Forest fragmentation","Logging","Forest degradation","Non-native species","Oil palm","Conservation set-aside","tropical forest","flora (biology)","forest conservation","agriculture","environmental impact of agriculture","degradation"],"keywordsOther":["Agricultural landscapes","Roundtable on Sustainable Palm Oil","Sustainable agriculture","Forest fragmentation","Logging","Forest degradation","Non-native species","Oil palm","Conservation set-aside","tropical forest","flora (biology)","forest conservation","agriculture","environmental impact of agriculture","degradation"],"keywordsPlace":["Borneo"],"keywordsTheme":["Agriculture","Biodiversity","Invasive species","Land cover","Land use","Soil"],"licence":"Open government licence","lineage":"The fieldwork for this study took place in fragmented and continuous forest sites in Sabah, Malaysian Borneo from July to October 2017. Native and exotic plants were surveyed in a nested plot design to determine genera richness and abundance. Phylogenetic diversity was calculated for the total native community and separately for adult trees, tree saplings, tree seedlings and ground vegetation. Phylogenetic diversity, genera richness and abundance made up the 'Native community' latent variable for the pathway modelling. 'Invasion' latent variable was informed by the species richness and abundance of exotic plants found in each plot. 'Fragmentation' latent variable was informed by the number of years since first planting of oil palm, the amount of non-forest area and the forest edge to forest area ratio within a 2km radius buffer of each plot. 'Disturbance' latent variable was informed the number of large trees belonging to Dipterocarpaceae and the the average adult tree wood density per plot. \"Propagule pressure' latent variable was informed the number of exotic species and individuals found outside the forest over two 100m transect in the oil palm. 'Soil characteristics' latent variable was informed by soil pH and available Phosphorus in the topsoil of each plot. Connections between latent variables were informed by ecological theory and made up the full model. This included Fragmentation influencing Disturbance, Propagule pressure, Soil characteristics, Native community and Invasion.  Disturbance influenced Soil characteristics, Native community and Invasion.  Soil characteristics influenced the Native community and Invasion. Both the Native community and Propagule pressure influenced Invasion only. Invasion influenced just the Native community. Non-significant connections were removed in a step-wise manner before the final path-model was produced with significant correlations.\n","locations":["POLYGON((117.032 4.883, 117.032 6.381, 118.586 6.381, 118.586 4.883, 117.032 4.883))"],"metadataDate":"2026-07-25T13:23:23.000Z","orcid":["0000-0003-2555-6390","0000-0003-1836-4112"],"organisation":["UK Centre for Ecology & Hydrology","University of Stirling","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-22T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/adbf6d29-ee7b-4dd1-9730-11d2308d526c","10.5285/adbf6d29-ee7b-4dd1-9730-11d2308d526c","doi:10.5285/adbf6d29-ee7b-4dd1-9730-11d2308d526c"],"resourceType":"Software","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This code uses pathway modelling to look at correlations of exotic plant invasion in tropical rainforest remnants and continuous sites. Partial least squares path-modelling looks at correlations between latent variables that are informed by measured variables. The code…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"R code to reproduce analyses of exotic plant invasion in fragmented and continuous forest sites in Sabah, Malaysian Borneo, 2017","topic":["0/Agriculture/","0/Biodiversity/","0/Invasive species/","0/Land cover/","0/Land use/","0/Soil/"],"version":0.0,"view":["public","leav"]},{"authorAffiliation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London"],"authorFamilyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"authorFullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J."],"authorGivenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V."],"authorOrcid":["0000-0002-0883-3440","0000-0003-2896-1631","0000-0002-4607-9901","0000-0002-9765-2907","0000-0002-3058-919X","0000-0001-8077-5452","0000-0002-3176-8130","0000-0002-5999-0307"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains chlorophyll fluorescence data from different genotypes of two Senecio species on Mount Etna, Sicily. In 2017, multiple clones of c.40 genotypes for each of two Senecio species were transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount Etna. For each species, five genotypes were chosen randomly and chlorophyll fluorescence was measured on four clones of each chosen genotype at each transplant elevation using an IMAGING-PAM fluorometer","documentType":"GEMINI_DOCUMENT","familyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"fullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J.","Walter, G."],"funder":["Natural Environment Research Council"],"givenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V.","Greg"],"grant":["NE/P001793/1"],"identifier":"28880a9d-3d6b-4e8e-a1d3-8ed939222bdc","incomingCitationCount":0,"keyword":["Transplant experiment","Plasticity","Mt. 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All measurements were taken within a five-day period.","locations":["POLYGON((15.08 37.63, 15.08 37.7, 14.99 37.7, 14.99 37.63, 15.08 37.63))"],"metadataDate":"2026-07-24T19:29:05.000Z","orcid":["0000-0002-0883-3440","0000-0003-2896-1631","0000-0002-4607-9901","0000-0002-9765-2907","0000-0002-3058-919X","0000-0001-8077-5452","0000-0002-3176-8130","0000-0002-5999-0307"],"organisation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/28880a9d-3d6b-4e8e-a1d3-8ed939222bdc","10.5285/28880a9d-3d6b-4e8e-a1d3-8ed939222bdc","doi:10.5285/28880a9d-3d6b-4e8e-a1d3-8ed939222bdc"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193","https://ror.org/0524sp257"],"shortenedDescription":"The dataset contains chlorophyll fluorescence data from different genotypes of two Senecio species on Mount Etna, Sicily. In 2017, multiple clones of c.40 genotypes for each of two Senecio species were transplanted at four elevations (500m, 1000m, 1500m, 2000m) on Mount…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Chlorophyll fluorescence data collected on Mount Etna, Sicily, 2017","version":1.0,"view":["public","clwe"]},{"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 (area) data for landscape features across Great Britain in 1998. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 569 1km squares across Great Britain.\n\nThe Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","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":"1e050028-5c55-42f4-a0ea-c895d827b824","incomingCitationCount":2,"keyword":["Environmental survey","Land use","habitat","landscape component","land use","plant species"],"keywordsOther":["habitat","landscape component","land use","plant species"],"keywordsTheme":["Environmental survey","Land use"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1998 by surveyors (a few sites were surveyed in 1999). Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in 1999/2000. Data are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:18:30.000Z","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":"2016-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e050028-5c55-42f4-a0ea-c895d827b824","10.5285/1e050028-5c55-42f4-a0ea-c895d827b824","doi:10.5285/1e050028-5c55-42f4-a0ea-c895d827b824"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for landscape features across Great Britain in 1998. Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 569 1km squares across…","state":"published","supplementalName":["Countryside Survey website"],"temporalExtentText":"Data collected from 1998 to 1999","title":"Landscape area data 1998 [Countryside Survey]","topic":["0/Environmental survey/","0/Land use/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Newcastle University","Butterfly Conservation"],"authorFamilyName":["Macgregor","Evans","Fox","Pocock"],"authorFullName":["Macgregor, C.J.","Evans, D.M.","Fox, R.","Pocock, M.J.O."],"authorGivenName":["C.J.","D.M.","R.","M.J.O."],"authorOrcid":["0000-0003-4375-0445"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01kj2bm70","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about moth abundance and pollen transport at sites lit by high-pressure sodium streetlights and unlit control sites. Moths were sampled at 20 matched pairs of lit and unlit sites within 40 km of Wallingford, Oxfordshire, UK (51°35' N, 1°8' W) during 2014, as part of a study of the effects of street lighting on moths and nocturnal pollen transport. Three sampling methods were used: night-time transects, light-traps and overhead flight activity surveys. Moths captured were identified, counted, and sampled for pollen transported on the proboscis, which was in turn identified and counted. \n\nThe work was supported by the Natural Environment Research Council (Grant ID: NE/K007394/1).","documentType":"GEMINI_DOCUMENT","familyName":["Macgregor","Evans","Fox","Pocock"],"fullName":["Macgregor, C.J.","Evans, D.M.","Fox, R.","Pocock, M.J.O."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","D.M.","R.","M.J.O."],"grant":["NE/K007394/1"],"identifier":"31cc5cec-d33b-4dd6-a932-061ff947e708","incomingCitationCount":2,"keyword":["Animal behaviour","Agro-ecosystems","flowers","light pollution","moths","pollination","population declines","sampling","lepidopteran","animal population","light","ecosystem services"],"keywordsOther":["Animal behaviour","Agro-ecosystems","flowers","light pollution","moths","pollination","population declines","sampling","lepidopteran","animal population","light","ecosystem services"],"licence":"Open government licence","lineage":"Matched pairs of lit and unlit sites were identified for sampling using a fixed set of criteria (described in the supporting documentation, and sites within pairs were sampled on the same nights. Data on moth abundance, species richness and pollen transport were recorded in the lab using standardised methods (described in the supporting documentation) from samples collected in the field and stored at -20°C. All identifications of moths and pollen were made by C.J.M., using a range of available literature. Data were transcribed from lab notebooks to a purpose-designed relational database in Microsoft Access, via bespoke forms to support accuracy of data entry; this took place within 48 hours of recording. Following data entry, records were double checked to ensure accidental typing errors were removed. Data were exported into their current format to facilitate statistical analysis.","locations":["POLYGON((-1.583 51.366, -1.583 51.887, -0.691 51.887, -0.691 51.366, -1.583 51.366))"],"metadataDate":"2026-07-24T20:34:11.000Z","orcid":["0000-0003-4375-0445"],"organisation":["Centre for Ecology & Hydrology","Newcastle University","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31cc5cec-d33b-4dd6-a932-061ff947e708","10.5285/31cc5cec-d33b-4dd6-a932-061ff947e708","doi:10.5285/31cc5cec-d33b-4dd6-a932-061ff947e708"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01kj2bm70","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about moth abundance and pollen transport at sites lit by high-pressure sodium streetlights and unlit control sites. Moths were sampled at 20 matched pairs of lit and unlit sites within 40 km of Wallingford, Oxfordshire, UK (51°35'…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Moth abundance and pollen transport from lit and unlit matched pairs of arable field margins in south-east England","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F."],"authorOrcid":["0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Morton"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Morton, D."],"givenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F.","Daniel"],"identifier":"f802edfc-86b7-4ab9-b8fa-87e9135237c9","incomingCitationCount":2,"keyword":["Great Britain","Land cover","Habitats"],"keywordsOther":["Habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:07:26.000Z","orcid":["0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287415172209","CEH:EIDC::1287415172209","https://catalogue.ceh.ac.uk/id/f802edfc-86b7-4ab9-b8fa-87e9135237c9","10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9","doi:10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products…","state":"published","supplementalDescription":["Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson, A.G. (2002). The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39. 15-25."],"supplementalName":["Project website"],"temporalExtentText":"Data collected from 2000 to 2000","title":"Land Cover Map 2000 (25m raster, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Web map service"],"description":"This web map service (WMS) depicts estimates of mean values of soil bacteria, invertebrates, carbon, nutrients and pH within selected habitats and parent material characteristics across GB . Estimates were made using CS data using a mixed model approach. The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. Bacteria data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores. Invertebrate data is representative of 0 - 8 cm soil depth and includes Total catch, Mite:Springtail ratio, Number of broad taxa and Shannon diversity. Gravimetric moisture content (%) data is representative of 0 - 15 cm soil depth Carbon data is representative of 0-15 cm soil depth and includes Loss-on-ignition (%), Carbon concentration (g kg-1) and Carbon density (t ha-1). Loss-on-ignition was determined by combustion of 10g dry soil at 375 deg C for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55, and carbon density was estimated by combining carbon concentration with bulk density estimates. Nutrient data is representative of 0 - 15 cm soil depth and includes total nitrogen (N) concentration (%), C:N ratio and Olsen-Phosphorus (mg/kg). pH and bulk density (g cm-3) data is representative of 0 - 15 cm soil depth. Topsoil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight; bulk density was estimated by making detailed weight measurements throughout the soil processing procedure. Areas, such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values. ","documentType":"GEMINI_DOCUMENT","identifier":"6372b558-ba64-4fbe-8766-019e01535b37","incomingCitationCount":0,"keyword":["Soil","Broad Habitat","Carbon","Countryside Survey","Loss on ignition","Organic matter","Parent Material Model","soil mositure","microbial diversity","Shannon index","Simpson index","C:N ratio","Nitrogen","Phosphorus","Soils Olsen-Phosphorus","Carbon:Nitrogen ratio","Olsen-P","pH","bulk density","Abundance","Acari","Collembola","Microarthropods","Taxa richness","bacterial community structure","NMDS","infoMapAccessService"],"keywordsOther":["Broad Habitat","Carbon","Countryside Survey","Loss on ignition","Organic matter","Parent Material Model","soil mositure","microbial diversity","Shannon index","Simpson index","C:N ratio","Nitrogen","Phosphorus","Soils Olsen-Phosphorus","Carbon:Nitrogen ratio","Olsen-P","pH","bulk density","Abundance","Acari","Collembola","Microarthropods","Taxa richness","bacterial community structure","NMDS","infoMapAccessService"],"keywordsTheme":["Soil"],"licence":"Non-Open government licence","lineage":"Estimates were modelled with data collected by the Countryside Survey. For details of similar statistical analysis see Scott, 2008 (http://www.countrysidesurvey.org.uk/outputs/technical-reports)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:44:53.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2000-01-01T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6372b558-ba64-4fbe-8766-019e01535b37"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) depicts estimates of mean values of soil bacteria, invertebrates, carbon, nutrients and pH within selected habitats and parent material characteristics across GB . Estimates were made using CS data using a mixed model approach. The estimated…","state":"published","supplementalName":["Further details of sampling"],"title":"Web Map Service for model estimates of topsoil properties [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","De Ville","Fletcher","James","Thackeray"],"authorFullName":["Feuchtmayr, H.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Thackeray, S.J."],"authorGivenName":["H.","M.M.","J.M. ","J.B. ","S.J."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of a long-term monitoring dataset from fortnightly sampling at the North Basin of Windermere in Cumbria, England. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise hypolimnion temperature (TEMP) in degree Celsius, and hypolimnion dissolved oxygen concentration (DO) in mg per litre. All data have been measured in a depth of 60 to 62 m. All data are from January 2005 until the end of 2009.\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":["Feuchtmayr","De Ville","Fletcher","James","Thackeray"],"fullName":["Feuchtmayr, H.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.M.","J.M. ","J.B. ","S.J."],"grant":["NE/R016429/1"],"identifier":"83aece7c-6ff0-4414-87ce-71ba27083b92","incomingCitationCount":0,"keyword":["Lake District","Water quality","Lake monitoring","hypolimnion","dissolved oxygen","water temperature of lake, stagnant surface water"],"keywordsOther":["Lake monitoring","hypolimnion","dissolved oxygen","water temperature of lake, stagnant surface water"],"keywordsPlace":["Lake District"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. \n","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-07-25T08:37:29.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/83aece7c-6ff0-4414-87ce-71ba27083b92","10.5285/83aece7c-6ff0-4414-87ce-71ba27083b92","doi:10.5285/83aece7c-6ff0-4414-87ce-71ba27083b92"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of a long-term monitoring dataset from fortnightly sampling at the North Basin of Windermere in Cumbria, England. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise hypolimnion temperature…","state":"published","temporalExtentText":"Data collected from 2005 to 2009","title":"Hypolimnion temperature and oxygen data from Windermere North Basin, UK, 2005-2009","topic":["0/Water quality/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Cumbria County Council"],"authorFamilyName":["Bunce","Smith","Hill"],"authorFullName":["Bunce, R.G.H.","Smith, R.S.","Hill, M.O."],"authorGivenName":["R.G.H.","R.S.","M.O."],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"The Land Classification of Cumbria is a classification of the county of Cumbria (Great Britain) into a set of 16 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in 1975. The strata were created from the multivariate analysis of 150 environmental variables, including topographic data, geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample.","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Smith","Hill","Wood"],"fullName":["Bunce, R.G.H.","Smith, R.S.","Hill, M.O.","Wood, C."],"givenName":["R.G.H.","R.S.","M.O.","Claire"],"identifier":"0ac6249c-a6f2-4147-8ae9-50d576e85fc5","incomingCitationCount":1,"keyword":["Cumbria","Mapping","Environmental survey"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Mapping","Environmental survey"],"licence":"Open government licence","lineage":"The Cumbria Land Classification was created in 1975 at the Institute of Terrestrial Ecology, using methodologies described in the supporting information. The map was later digitised by the Centre for Ecology & Hydrology.","locations":["POLYGON((-3.835 53.988, -3.835 55.034, -2.319 55.034, -2.319 53.988, -3.835 53.988))"],"metadataDate":"2026-09-15T08:44:49.000Z","organisation":["Institute of Terrestrial Ecology","Cumbria County Council","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ac6249c-a6f2-4147-8ae9-50d576e85fc5","10.5285/0ac6249c-a6f2-4147-8ae9-50d576e85fc5","doi:10.5285/0ac6249c-a6f2-4147-8ae9-50d576e85fc5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Land Classification of Cumbria is a classification of the county of Cumbria (Great Britain) into a set of 16 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE)…","state":"published","temporalExtentText":"Data collected from 1975 to 1975","title":"Land Classification of Cumbria 1975","topic":["0/Mapping/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Stirling","Durham University"],"authorFamilyName":["Morley","Jump","Donoghue"],"authorFullName":["Morley, P.","Jump, A.","Donoghue, D."],"authorGivenName":["P.","A.","D."],"authorOrcid":["0000-0002-7503-2520","0000-0002-2167-6451","0000-0002-9931-9083"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset comprises four RGB unmanned aerial vehicle (UAV) images collected in September 2020 of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable the analysis of individual tree and stand level response (canopy damage and defoliation) of European beech trees to extreme drought events. The RGB images available in this dataset have approx. 3cm pixel size with an associated 10cm pixel digital elevation model (DEM) and are suitable for identifying individual trees and the degree of canopy damage (defoliation, discolouration, and mortality) sustained by individuals/stands within the forest. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Morley","Jump","Donoghue"],"fullName":["Morley, P.","Jump, A.","Donoghue, D."],"funder":["Natural Environment Research Council"],"givenName":["P.","A.","D."],"grant":["NE/V00929X/1"],"identifier":"b2d17962-3c7f-4193-a180-cde885d1a83e","incomingCitationCount":0,"keyword":["Germany","UAV","RGB","Canopy Condition","Extreme Drought","forest health","drought","forest canopy"],"keywordsOther":["UAV","RGB","Canopy Condition","Extreme Drought","forest health","drought","forest canopy"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"The RGB UAV data and associated Digital Elevation Model were collected using a DJI Phantom 4 UAV. Individual images were processed by the NERC Field Spectroscopy Facility with the orthorectified mosaics made available.","locations":["POLYGON((10.082 50.466, 10.082 50.508, 10.116 50.508, 10.116 50.466, 10.082 50.466))"],"metadataDate":"2026-09-15T08:03:52.000Z","orcid":["0000-0002-7503-2520","0000-0002-2167-6451","0000-0002-9931-9083"],"organisation":["University of Stirling","Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b2d17962-3c7f-4193-a180-cde885d1a83e","10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e","doi:10.5285/b2d17962-3c7f-4193-a180-cde885d1a83e"],"resourceType":"Dataset","rightsHolder":["University of Stirling","Durham University"],"ror":["https://ror.org/045wgfr59","https://ror.org/01v29qb04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises four RGB unmanned aerial vehicle (UAV) images collected in September 2020 of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. The study forests were subject to the extreme drought…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Unmanned aerial vehicle images of drought-stressed European beech forests in the Rhӧn Biosphere Reserve, Germany, 2020","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material property data. Below ground films were either in fine or coarse mesh bags (filled with 20g soil and 5x5 cm plastic piece) to allow only microfauna or micro-, meso-, and macrofauna interaction. The aim of this experiment was to identify the degradation rates of mulch films under UK weather conditions, their microplastic generation rates, and their effect on soil properties and microbial communities (microbial data has been deposited with NCBI: PRJNA1229197). The details can be found in the lineage field and the supporting document.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Martine","David R","Davey L","M."],"grant":["NE/V005871/1"],"identifier":"76322cd6-a420-42e1-9495-5ed929b1c289","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Soil","chemical degradation","mulch","plastic","soil","soil biodiversity"],"keywordsOther":["chemical degradation","mulch","plastic","soil","soil biodiversity"],"keywordsTheme":["Agriculture","Environmental risk","Soil"],"licence":"Open government licence","lineage":"Plastic:\n-\tFilm thickness: Measured with a thickness gauge. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tFilm surface roughness: Measured with a surface roughness tester. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tChemical spectra (FTIR): Data was recorded using Cary 630 (Agilent) ATR-FTIR, exported as individual spectra csv files. Data was then combined for each plastic type.\n\nSoil:\n-\tMoisture at 5 cm depth: Data was recorded using TDT-12 Acclima sensors buried at 10 cm soil depth. Data was recorded on datasnaps, exported as Excel file, then exported as csv file.\n-\tTemperature at 5 cm depth: Data was recorded using TDT-12 Acclima sensors buried at 10 cm soil depth. Data was recorded on datasnaps, exported as Excel file, then exported as csv file.\n-\tSurface temperature: Data was recorded using iButtons placed on the soil surface. Data was exported as csv file.\n-\tMicroplastic concentration: Samples were analysed using 8700 LDIR chemical imaging. Data was exported as Excel files, then exported as csv files.\n-\tpH and electrical conductivity: Soil was analysed in a 1:2.5 soil:distilled water solution using standard electrodes. Data recorded in paper notebook, then transferred to Excel file. Excel file exported as csv file.\n-\tNutrients (ammonium, nitrate, phosphate, DOC): Soil was analysed in a 1:5 soil:0.5 M K2SO4 solution using colorimetric analysis for ammonium and nitrate, and a TOC analyser for DOC. Data was exported as Excel files from respective instruments, then exported as csv file.\n\nEnvironmental data:\n-\tAir temperature: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tPrecipitation: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tWind speed: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.\n-\tSolar radiation: Data was recorded by weather station on site, exported as Excel file, then exported as csv file.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-07-25T06:53:34.000Z","orcid":["0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/76322cd6-a420-42e1-9495-5ed929b1c289","10.5285/76322cd6-a420-42e1-9495-5ed929b1c289","doi:10.5285/76322cd6-a420-42e1-9495-5ed929b1c289"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements from a 12-month field experiment in the UK assessing the degradation, microplastic generation, and environmental impacts of seven plastic mulch films exposed above and below ground, alongside associated soil, environmental, and material…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"Degradation and microplastic generation, with associated soil properties and microbial communities, of mulch films exposed above and below ground over 12 months, North Wales, UK","topic":["0/Agriculture/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Newcastle University","Manchester University","UK Centre for Ecology & Hydrology","University of Bristol","Environment Agency","Scottish Environment Protection Agency","Northumbria University"],"authorFamilyName":["Fileni","Fowler","Lewis","Fry","Cooper","Swain","Coxon","McLay","Bruce","Yang","Archer"],"authorFullName":["Fileni, F.","Fowler, H.J.","Lewis, E.","Fry, M.","Cooper, H.","Swain, O.","Coxon, G.","McLay, F.","Bruce, E.","Yang, L.","Archer, D."],"authorGivenName":["Felipe","Hayley J","Elizabeth","Matt","Hollie","Oliver","Gemma","Fiona","Emma","Longzhi","David"],"authorOrcid":["0000-0001-7260-1946","0000-0001-8848-3606","0000-0002-7471-9988","0000-0003-1142-4039","0000-0002-1382-3407","0000-0002-8837-460X","0000-0003-2115-4909","0000-0002-0007-6334"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/02aswte26","https://ror.org/00pggkr55","https://ror.org/0524sp257","https://ror.org/01zewfb16","https://ror.org/01kxjy285","https://ror.org/049e6bc10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","png"],"description":"This dataset provides a coherent, quality-controlled collection of 15-minute river flow observations from across the United Kingdom. It brings together more than 1,300 gauging stations and over 50,000 station-years of data collected by the main UK measuring authorities - the Environment Agency (England), Scottish Environment Protection Agency, Natural Resources Wales, the Department for Infrastructure (Northern Ireland), and the UK Centre for Ecology & Hydrology. The records span from 1948 to the present day and represent the first national-scale compilation of sub-daily flow data in a consistent format.\n\nThe dataset was created by assembling raw hydrometric records from open APIs and data requests to measuring authorities, then standardising them to a uniform 15-minute time step. A structured quality control framework was applied to identify and flag potential issues such as missing or duplicated values, irregular time steps, and implausible flow events. Each record includes a detailed quality code indicating the outcome of these checks, and a suite of accompanying metadata files provides full traceability of data provenance, quality control results, and any adjustments made during processing.\n\nThe resource is designed to support large-sample and national-scale hydrological research, particularly for applications requiring high-resolution data such as flood analysis, catchment response studies, and model calibration.","documentType":"GEMINI_DOCUMENT","familyName":["Fileni","Fowler","Lewis","Fry","Cooper","Swain","Coxon","McLay","Bruce","Yang","Archer"],"fdriCategory":["Hydrology"],"fdriSpatialScale":"National scale","fdriTimeseriesData":"Timeseries data","fullName":["Fileni, F.","Fowler, H.J.","Lewis, E.","Fry, M.","Cooper, H.","Swain, O.","Coxon, G.","McLay, F.","Bruce, E.","Yang, L.","Archer, D.","Felipe Fileni"],"funder":["Natural Environment Research Council","Environment Agency","UKRI Future Leaders Fellowships","UK Centre for Ecology & Hydrology"],"givenName":["Felipe","Hayley J","Elizabeth","Matt","Hollie","Oliver","Gemma","Fiona","Emma","Longzhi","David"],"grant":["NE/S007512/1","NE/Y006496/1","NE/S017380/1","MR/V022857/1","NE/X019063/1"],"identifier":"211710ac-f01b-4b52-807f-373babb1c368","incomingCitationCount":0,"keyword":["Floods and Droughts Digital Research Infrastructure (FDRI)","Hydrology","Climate and climate change","hydrology","flow","river","river water","watercourse","National scale","Timeseries data"],"keywordsOther":["hydrology","flow","river","river water","watercourse","Hydrology","National scale","Timeseries data"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Hydrology","Climate and climate change"],"licence":"Open government licence","lineage":"The dataset compiles 15-minute river flow observations from over 1,300 UK gauging stations managed by the Environment Agency, SEPA, NRW, DfI Northern Ireland, and UKCEH. Original field measurements of river stage were made using weirs, flumes, velocity-area methods, and ultrasonic sensors, then converted to discharge (m³ s⁻¹) using rating curves maintained by each authority. Data were accessed via APIs and formal requests, retaining only stations with official NRFA identifiers.\n\nAll time series were standardised to a uniform 15-minute interval, and duplicate or irregular records were corrected. A structured quality control framework was applied, including consistency checks against NRFA daily and peak-flow datasets, automated anomaly detection, and plausibility tests for high-flow events. Each observation carries a QC code, and metadata files record all processing and assessment steps. Users should consult these metadata to evaluate data suitability for specific analyses.\n\nFollowing revisions to the submitted UK-Flow15 Data manuscript (Fileni et al., 2026), a small metadata and documentation update was made. Four descriptive fields (Latitude, Longitude, Station type, and Measuring authority) were added to 00_station_id_meta.csv; 01_common_sense_anomalies_meta.csv was renamed 01_visual_inspection_anomalies_meta.csv to better reflect its contents; minor typographical errors in metadata column names and comments were corrected; and metadata headers were updated in accordance with EIDC guidelines by removing special characters and converting all text to lowercase. These changes improve description and consistency and do not alter the underlying 15-minute river flow observations or QC results","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-18T13:59:31.000Z","orcid":["0000-0001-7260-1946","0000-0001-8848-3606","0000-0002-7471-9988","0000-0003-1142-4039","0000-0002-1382-3407","0000-0002-8837-460X","0000-0003-2115-4909","0000-0002-0007-6334"],"organisation":["Newcastle University","Manchester University","UK Centre for Ecology & Hydrology","University of Bristol","Environment Agency","Scottish Environment Protection Agency","Northumbria University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-10-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/211710ac-f01b-4b52-807f-373babb1c368","10.5285/211710ac-f01b-4b52-807f-373babb1c368","doi:10.5285/211710ac-f01b-4b52-807f-373babb1c368"],"resourceType":"Dataset","rightsHolder":["Newcastle University","UK Centre for Ecology & Hydrology","Environment Agency","Scottish Environment Protection Agency"],"ror":["https://ror.org/01kj2bm70","https://ror.org/02aswte26","https://ror.org/00pggkr55","https://ror.org/0524sp257","https://ror.org/01zewfb16","https://ror.org/01kxjy285","https://ror.org/049e6bc10","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides a coherent, quality-controlled collection of 15-minute river flow observations from across the United Kingdom. It brings together more than 1,300 gauging stations and over 50,000 station-years of data collected by the main UK measuring authorities…","state":"published","supplementalDescription":["Hydro-JULES","OnePlanet"],"temporalExtentText":"Data collected from 1948 to 2023","title":"Sub-hourly river flow data observations from 1369 river gauges in the UK, 1948-2023 (UK-Flow15)","topic":["0/Hydrology/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Stirling","University of O'Higgins"],"authorFamilyName":["Jump","Greenwood","Venegas-González","Paredes-Berríos"],"authorFullName":["Jump, A.","Greenwood, S.","Venegas-González, A.","Paredes-Berríos, P."],"authorGivenName":["Alistair","Sarah","Alejandro","Pablo"],"authorOrcid":["0000-0002-2167-6451","0000-0001-9104-7936","0000-0003-4568-4533","0009-0004-8188-8044"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/044cse639"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset comprises multispectral orthoimagery acquired from six drone flights over sclerophyllous and deciduous forest in La Campana National Park, located in the Mediterranean bioregion of central Chile, conducted in January 2024. Raw images were processed in Agisoft Metashape following a standard structure-from-motion workflow: images were first aligned to estimate camera positions and generate a sparse point cloud, followed by the construction of a dense point cloud for detailed surface reconstruction, and finally generating the five-band orthomosaics (Blue, Green, Red, Red Edge, Near-Infrared) at high spatial resolution. These data were collected to quantify drought-induced canopy defoliation and forest structural degradation following extreme Hyperdrought events in 2019 and 2021. This resource is intended for researchers studying climate change impacts on Mediterranean-type ecosystems, remote sensing applications in forest ecology, and drought-induced mortality mechanisms.","documentType":"GEMINI_DOCUMENT","familyName":["Jump","Greenwood","Venegas-González","Paredes-Berríos"],"fullName":["Jump, A.","Greenwood, S.","Venegas-González, A.","Paredes-Berríos, P."],"funder":["Natural Environment Research Council"],"givenName":["Alistair","Sarah","Alejandro","Pablo"],"grant":["NE/Y004205/1"],"identifier":"f7a5f084-4cb9-4247-88ce-85de712d0217","incomingCitationCount":0,"keyword":["Biodiversity","Mapping","Environmental survey","Land cover","biodiversity","central chile","climate change","drought","forest ecology","forest mortality","Mediterranean climate","Mediterranean forest","Mediterranean wood","tree","tree mortality"],"keywordsOther":["biodiversity","central chile","climate change","drought","forest ecology","forest mortality","Mediterranean climate","Mediterranean forest","Mediterranean wood","tree","tree mortality"],"keywordsTheme":["Biodiversity","Mapping","Environmental survey","Land cover"],"licence":"Open government licence","lineage":"Multispectral imagery was acquired in January 2024 using a DJI Phantom 4 Multispectral drone across six separate flights over La Campana National Park (Chile). The drone captured five spectral bands (Blue, Green, Red, Red Edge, Near-Infrared) at a spatial resolution of approximately 6.5 cm/pixel. Raw image files were processed in Agisoft Metashape software to generate georeferenced orthomosaics for each flight. Quality assurance steps included: (1) visual inspection of orthomosaics for artefacts, seam lines, and alignment errors; and (2) consistency checks across overlapping flight lines to ensure complete coverage of the images over the ground. Final orthoimagery was exported in GeoTIFF format with per-band digital number (DN) values ranging from 0 to 65535, accompanied by an RGB visualization recommended using Band 3 (Red), Band 2 (Green), and Band 1 (Blue) with min-max stretches of 0-3000. No atmospheric correction was applied; raw DN values are provided.","locations":["POLYGON((-71.145 -32.985, -71.145 -32.95, -71.1 -32.95, -71.1 -32.985, -71.145 -32.985))"],"metadataDate":"2026-07-31T10:55:28.000Z","orcid":["0000-0002-2167-6451","0000-0001-9104-7936","0000-0003-4568-4533","0009-0004-8188-8044"],"organisation":["University of Stirling","University of O'Higgins","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7a5f084-4cb9-4247-88ce-85de712d0217","10.5285/f7a5f084-4cb9-4247-88ce-85de712d0217","doi:10.5285/f7a5f084-4cb9-4247-88ce-85de712d0217"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/044cse639","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises multispectral orthoimagery acquired from six drone flights over sclerophyllous and deciduous forest in La Campana National Park, located in the Mediterranean bioregion of central Chile, conducted in January 2024. Raw images were processed in Agisoft…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Multispectral drone orthoimagery of sclerophyllous and deciduous forests in La Campana National Park, Chile, January 2024","topic":["0/Biodiversity/","0/Mapping/","0/Environmental survey/","0/Land cover/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","Fletcher","James","Keenan","Mackay","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","James, J.B.","Keenan, P.O.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","H.T.","M.A.","M.M.","B.A.","J.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"authorOrcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from January 2014 until the end of 2018.\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":["Feuchtmayr","Carter","Clarke","De Ville","Dodd","Fletcher","James","Keenan","Mackay","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","James, J.B.","Keenan, P.O.","Mackay, E.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","H.T.","M.A.","M.M.","B.A.","J.","J.B.","P.O.","E.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"1ccff678-9e27-4290-8f12-a9d0c048d52f","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Water samples are based on a sample integrated from 0 to 7 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. Samples were analysed in UKCEH laboratories.","locations":["POLYGON((-3.005 54.264, -3.005 54.388, -2.888 54.388, -2.888 54.264, -3.005 54.264))"],"metadataDate":"2026-07-24T19:17:25.000Z","orcid":["0000-0002-2028-4843","0000-0002-3808-1534","0000-0002-8788-8449","0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1ccff678-9e27-4290-8f12-a9d0c048d52f","10.5285/1ccff678-9e27-4290-8f12-a9d0c048d52f","doi:10.5285/1ccff678-9e27-4290-8f12-a9d0c048d52f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England that began in 1945 for some…","state":"published","temporalExtentText":"Data collected from 2014 to 2018","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, 2014 to 2018","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Hughes"],"authorFullName":["Hughes, S."],"authorGivenName":["S. "],"authorOrcid":["0000-0003-2213-124X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains height, foliage height diversity, mean crown area, tree count, bedrock, elevation, age, aspect and slope data for woodlands under 1ha in size that were also covered by Defra’s LiDAR survey in the year 2011 in the Isle of Wight. These data were collected to see if the presence of an adjacent older neighbour affects woodland structure and height in recently created woodlands. Data was processed by the author under NERC Grant NE/S007458/1 PANORAMA - A Yorkshire partnership for training in environmental careers","documentType":"GEMINI_DOCUMENT","familyName":["Hughes"],"fullName":["Hughes, S."],"funder":["Natural Environment Research Council"],"givenName":["S. ","Samuel"],"grant":["NE/S007458/1"],"identifier":"206f93ea-2d8b-4276-b29c-e3be67a0cb60","incomingCitationCount":0,"keyword":["Woodland structure","canopy height","foliage height diversity","woodland restoration"],"keywordsOther":["Woodland structure","canopy height","foliage height diversity","woodland restoration"],"licence":"Open government licence","lineage":"LiDAR data was downloaded from Defra’s LiDAR survey, geological data was provided by the British Geological Survey. All metrics were calculated using R version 4.0.3.","locations":["POLYGON((-1.595 50.573, -1.595 50.77, -1.058 50.77, -1.058 50.573, -1.595 50.573))"],"metadataDate":"2026-07-24T19:22:19.000Z","orcid":["0000-0003-2213-124X"],"organisation":["University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/206f93ea-2d8b-4276-b29c-e3be67a0cb60","10.5285/206f93ea-2d8b-4276-b29c-e3be67a0cb60","doi:10.5285/206f93ea-2d8b-4276-b29c-e3be67a0cb60"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains height, foliage height diversity, mean crown area, tree count, bedrock, elevation, age, aspect and slope data for woodlands under 1ha in size that were also covered by Defra’s LiDAR survey in the year 2011 in the Isle of Wight. These data were…","state":"published","temporalExtentText":"Data collected from 2011 to 2011","title":"Woodland structural data derived from LiDAR for the year 2011 in the Isle of Wight","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Liverpool"],"authorFamilyName":["Brunner","Reynolds","Price","White","Sadler","Wilson","Atkinson","Paterson","Plaistow"],"authorFullName":["Brunner, F.S.","Reynolds, A.","Price, S.","White, N.","Sadler, D.E.","Wilson, I.W.","Atkinson, D.A.","Paterson, S.","Plaistow, S.J."],"authorGivenName":["F.S. ","A.","S.","N.","D.E.","I.W.","D.A.","S.J."],"authorOrcid":["0000-0002-6571-6945","0000-0001-5800-4715","0000-0001-9715-3270","0000-0002-9956-2454","0000-0002-1307-2981","0000-0002-9003-6271"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate of adaptation to experimental heatwaves. All data were collected between 2017 and 2019. Thermal data was collected continuously using data loggers. The frequency of natural heatwaves was manipulated using a programmable aquatic mesocosm facility using data collected from real heatwaves from 2006. Phenotypic evolution was tracked using intermittent common garden life-history studies while changes in clone frequency were determined using microsatellite markers to track changes in clone frequency in manipulated populations over two years. Experimental data on zooplankton community dynamics were monitored using intermittent depth integrated sampling of communities in each mesocosm over two years. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/N016017/1).","documentType":"GEMINI_DOCUMENT","familyName":["Brunner","Reynolds","Price","White","Sadler","Wilson","Atkinson","Paterson","Plaistow"],"fullName":["Brunner, F.S.","Reynolds, A.","Price, S.","White, N.","Sadler, D.E.","Wilson, I.W.","Atkinson, D.A.","Paterson, S.","Plaistow, S.J.","Plaistow, S."],"funder":["Natural Environment Research Council"],"givenName":["F.S. ","A.","S.","N.","D.E.","I.W.","D.A.","S.J.","Stewart"],"grant":["NE/N016017/1"],"identifier":"2ae5e8d3-be36-4517-b80c-c6b91792b769","incomingCitationCount":0,"keyword":["Environmental risk","Daphnia magna","Phenotypic plasticity","clonal diversity","Experimental evolution","Fitness traits","Mesocosms","Freshwater ecology","Heatwaves","eutrophication","freshwater"],"keywordsOther":["Daphnia magna","Phenotypic plasticity","clonal diversity","Experimental evolution","Fitness traits","Mesocosms","Freshwater ecology","Heatwaves","eutrophication","freshwater"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Daphnia magna clones used in the experiment were isolated from Brown Moss in Shropshire (52°57'01\"N 2°39'05\"W) and Lake Ring in Denmark (55°57′51.83″N, 9°35′46.87″E) as hatched resting eggs.  How plastic each clone is was assayed by rearing clones in common garden studies using four different environments.\n\nForty-two mesocosms with different numbers of plastic and non-plastic Daphnia magna clones were established at Ness botanic gardens (53°16'20\"N 3°02'34\"W).\n\nHeatwave induction and hourly temperature data were managed using heating elements and temperature sensors at 50cm depth connected to Campbell Scientific CR6 Wi-Fi data loggers connected to a virtual server.\nEnvironmental parameter data were collected using hand-held meters every 2-weeks. Water chemistry data were collected every 3-months between 2017-2019 and analysed using a spectrophotometer (see supporting doc for details).\n\nThe life-history and thermal tolerance of D. magna in mesocosms was assayed 5 times a year before and after heatwaves (September 2017 March 2018, June 2018, August 2018, and October 2018) by sampling animals from each mesocosm and rearing an offspring in common garden study.\n\nClone-frequency changes were monitored in a subset of mesocosms at 8 timepoints between 2017-2019 using four microsatellite markers.\n\nCommunity dynamics in each mesocosm were assessed at 8-timepoints between 2017-2019 using depth integrated samples from four locations across a mesocosm for a total of 10L of water, which was then filtered through 100 micromitre sieves and stored in 15% glycerol at 20 oC prior to counting.\n\nAll data were checked, verified and processed for analysis.","locations":["POLYGON((-3.049 53.268, -3.049 53.275, -3.041 53.275, -3.041 53.268, -3.049 53.268))"],"metadataDate":"2026-07-24T19:31:30.000Z","orcid":["0000-0002-6571-6945","0000-0001-5800-4715","0000-0001-9715-3270","0000-0002-9956-2454","0000-0002-1307-2981","0000-0002-9003-6271"],"organisation":["University of Liverpool","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ae5e8d3-be36-4517-b80c-c6b91792b769","10.5285/2ae5e8d3-be36-4517-b80c-c6b91792b769","doi:10.5285/2ae5e8d3-be36-4517-b80c-c6b91792b769"],"resourceType":"Dataset","rightsHolder":["University of Liverpool"],"ror":["https://ror.org/04xw4m193","https://ror.org/04xs57h96"],"shortenedDescription":"This dataset contains information about hourly temperature variation, phenotypic and genetic change, and change in environmental parameters in a two-year mesocosm study designed to tease apart the impact that phenotypic plasticity and genetic diversity have on rate…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Hourly temperature, environmental parameter and Daphnia magna phenotypic and genetic change in mesocosms with manipulated experimental parameters, 2017-2019","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid"],"authorFamilyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"authorFullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D."],"authorGivenName":["C.J.","S.","J.R.","A.J.","D."],"authorOrcid":["0000-0003-2175-1842","0000-0001-7480-5758","0000-0003-4957-2774","0000-0001-7043-227X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Plain text","Comma-separated values (CSV)","R"],"description":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"fullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D.","Feeney, C."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","S.","J.R.","A.J.","D.","Christopher"],"grant":["NE/S01697X/1","NE/R016429/1"],"identifier":"78bc21a9-39e0-4efc-992c-5587439fe6be","incomingCitationCount":1,"keyword":["Environmental risk","CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsOther":["CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Historic river channel changes were quantified for the years 1976-2018 by digitising channel boundaries from old Ordnance Survey maps and aerial imagery. Floodplain erosion and deposition rates (m2 yr-1) were estimated by overlaying the digitised channel features to create a time-series of landscape evolution. The years 1976-2018 represent a combined overlapping record where we have available OS maps and aerial imagery, as well as continuous recorded daily-averaged flow data for the Ashton Weir (station no. 69007) from the National River Flow Archive. The CAESAR-Lisflood model was calibrated using this historic flow series and a modified version of a LiDAR DEM from the Environment Agency. Simulation results during calibration were compared against digitised historic channel changes, with the 2 best results chosen for simulation of future flow scenarios. A total of 12 simulations was run to determine which of 40 electricity transmission towers would be at greatest risk from river channel erosion. These 12 simulations consist of the 2 calibrated models × 6 hypothetical future flow scenarios.\n\nThe CAESAR-Lisflood model simulates processes using deterministic algorithms. This means that without changing inputs, the model can be run repeatedly and return an identical result. Input files necessary to run the CAESAR-Lisflood model are included in this dataset so that this repeatability can be independently verified. R code is also provided to allow the user to reproduce most of the analyses reported in the associated paper.\n\nRiver channel change is a “chaotic” process, which means prediction of its future dynamics is riddled with uncertainties. Added to this, our chosen flow scenarios are hypothetical, and constructed by multiplying the most recent historical 32-year flow record by 1-1.5 depending on the scenario. Thus, care should be taken when interpreting our results. We suggest that we can accurately pinpoint which towers are most at risk from future erosion, but not the exact timings of these risks.","locations":["POLYGON((-2.4 53.43, -2.4 53.46, -2.34 53.46, -2.34 53.43, -2.4 53.43))"],"metadataDate":"2026-07-25T06:54:55.000Z","orcid":["0000-0003-2175-1842","0000-0001-7480-5758","0000-0003-4957-2774","0000-0001-7043-227X"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78bc21a9-39e0-4efc-992c-5587439fe6be","10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be","doi:10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years…","state":"published","supplementalDescription":["If the user wishes to recreate the model outputs, they will need to use the CAESAR-Lisflood model, which is available from:\n\nWe would also recommend using version 4 of R to run any of the R scripts"],"temporalExtentText":"Data collected from 2018 to 2050","title":" Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}