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Hydrology"],"authorFamilyName":["Barr","Bunce","Smart","Whittaker"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Smart, S.M.","Whittaker, H.A."],"authorGivenName":["C.J.","R.G.H.","S.M.","H.A."],"authorOrcid":["0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 256 1km x 1km square sites surveyed across Great Britain in 1978. Many of the plots were repeated in 1990, 1998 and 2007. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. ","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Smart","Whittaker","Wood"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Smart, S.M.","Whittaker, H.A.","Wood, C."],"givenName":["C.J.","R.G.H.","S.M.","H.A.","Claire"],"identifier":"67bbfabb-d981-4ced-b7e7-225205de9c96","incomingCitationCount":6,"keyword":["Great Britain","plants","vegetation","Environmental survey"],"keywordsOther":["plants","vegetation","Environmental survey"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1978 by surveyors (a few sites were surveyed in 1977). Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology). Standard Countryside Survey methodology was applied (refer to the online documentation). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:46:06.000Z","orcid":["0000-0003-2750-7832"],"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":"2014-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1390493726292","CEH:EIDC::1390493726292","https://catalogue.ceh.ac.uk/id/67bbfabb-d981-4ced-b7e7-225205de9c96","10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96","doi:10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 256 1km x 1km square sites surveyed across Great Britain in 1978. Many of the plots were repeated in 1990, 1998 and 2007. General information about the plot was…","state":"published","temporalExtentText":"Data collected from 1977 to 1978","title":"Countryside Survey 1978 vegetation plot data","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Rowe","Cooper","McNamara"],"authorFullName":["Morrison, R.","Rowe, R.","Cooper, H.M.","McNamara, N.P."],"authorGivenName":["R.","H.M.","N.P."],"authorOrcid":["0000-0002-1847-3127","0000-0002-7554-821X","0000-0002-1382-3407","0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a at a Miscanthus x. giganteus Greef et Deu (hereafter Miscanthus) plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 4 July 2013 and 25 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations.\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":["Morrison","Rowe","Cooper","McNamara"],"fullName":["Morrison, R.","Rowe, R.","Cooper, H.M.","McNamara, N.P."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.M.","N.P.","Ross"],"grant":["NE/R016429/1"],"identifier":"71e5b799-fc4d-4a44-8860-a5e358c807fd","incomingCitationCount":1,"keyword":["Lincolnshire","UK-SCAPE","Climate and climate change","Soil","Miscanthus x. giganteus"],"keywordsOther":["Miscanthus x. giganteus"],"keywordsPlace":["Lincolnshire"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Soil"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made above the Miscanthus canopy using an open-path eddy covariance system. Ancillary meteorological and soil physics observations were made from a scaffold tower at the northern end of the plantation. \n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. \n\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach. Gaps in key meteorological variables (SWin, LWin, Ta, RH) were filled using linear relationships derived from weather stations located in adjacent fields. \n\nFurther details are available in the supporting documentation.","locations":["POLYGON((-0.619 53.294, -0.619 53.345, -0.523 53.345, -0.523 53.294, -0.619 53.294))"],"metadataDate":"2026-09-15T08:38:38.000Z","orcid":["0000-0002-1847-3127","0000-0002-7554-821X","0000-0002-1382-3407","0000-0002-5143-5819"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/71e5b799-fc4d-4a44-8860-a5e358c807fd","10.5285/71e5b799-fc4d-4a44-8860-a5e358c807fd","doi:10.5285/71e5b799-fc4d-4a44-8860-a5e358c807fd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a at a Miscanthus x. giganteus Greef et Deu (hereafter Miscanthus) plantation…","state":"published","temporalExtentText":"Data collected from 2013 to 2017","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial Miscanthus x. giganteus plantation, Lincolnshire, UK, 2013 to 2017","topic":["0/Climate and climate change/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Twiston-Davies","Mortimer","Mitchley"],"authorFullName":["Twiston-Davies, G.","Mortimer, S.R.","Mitchley, J."],"authorGivenName":["G.","S. R.","J."],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of behaviour and distribution data of Lepidoptera at the Stonehenge World Heritage Site in Wiltshire, UK, between 2010-2011. A long term landscape scale grassland restoration and re-creation project has been underway at the site since 2000. 200m long transects were located in the centre of different grassland re-creation fields of different ages, arable land, chalk grassland fragments on slopes and on ancient burial mounds, and semi-improved pasture. Transects were surveyed on three occasions spread across the field season (June to September), and throughout the day and were selected ad-hoc for survey in order to minimise the effect that the time of year and day would have on results. During the survey, the transect was walked at a slow, steady pace allowing five minutes for each 20m section of transect and the number and species of Lepidoptera present 5m either side and ahead were recorded. If Lepidoptera were observed feeding, then the nectar plant species was also recorded. Habitat quality, defined in terms of vegetation characteristics and nectar resources, was quantified throughout each transect by sampling quadrats in each 20m segment of the transect. Vegetation characteristics were measured as vegetation height and density and the percentage cover of bare ground and dead vegetation. Nectar resources were measured in terms of the number and percentage coverage of flowering units, the total number of nectar flowering units and of relevant families (Dipsacaceae, Fabaceae and Asteraceae). The data were collected as part of a PhD project funded by the Natural Environment Research Council and the National Trust.","documentType":"GEMINI_DOCUMENT","familyName":["Twiston-Davies","Mortimer","Mitchley"],"fullName":["Twiston-Davies, G.","Mortimer, S.R.","Mitchley, J."],"givenName":["G.","S. R.","J."],"identifier":"a384bdfb-0bf2-4c3e-80ab-e171f38d503d","incomingCitationCount":0,"keyword":["United Kingdom","Wiltshire","Stonehenge","Animal behaviour","day flying moths","grassland restoration","butterfly","lepidopteran","grassland","restoration"],"keywordsOther":["day flying moths","grassland restoration","butterfly","lepidopteran","grassland","restoration"],"keywordsPlace":["United Kingdom","Wiltshire","Stonehenge"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Data provided is as collected. Outliers and anomalies from pivot tables and exploratory analysis have been checked using results from previous research, particularly for species which are likely or not likely to occur in the area.","locations":["POLYGON((-1.857 51.168, -1.857 51.197, -1.78 51.197, -1.78 51.168, -1.857 51.168))"],"metadataDate":"2026-09-15T08:45:36.000Z","organisation":["University of Reading","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-09-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1408611543679","CEH:EIDC::1408611543679","https://catalogue.ceh.ac.uk/id/a384bdfb-0bf2-4c3e-80ab-e171f38d503d","10.5285/a384bdfb-0bf2-4c3e-80ab-e171f38d503d","doi:10.5285/a384bdfb-0bf2-4c3e-80ab-e171f38d503d"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of behaviour and distribution data of Lepidoptera at the Stonehenge World Heritage Site in Wiltshire, UK, between 2010-2011. A long term landscape scale grassland restoration and re-creation project has been underway at the site since 2000. 200m…","state":"published","temporalExtentText":"Data collected from 2010 to 2011","title":"Lepidoptera distribution and behaviour data from transects within the Stonehenge landscape, UK, between 2010 and 2011","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University College Dublin"],"authorFamilyName":["Mason","Ashwood","Schmidt","Cosby","Keith"],"authorFullName":["Mason, K.E.","Ashwood, F.","Schmidt, O.","Cosby, J.","Keith, A.M."],"authorGivenName":["K.E.","F.","O.","J.","A.M."],"authorOrcid":["0000-0003-3426-3178","0000-0001-7540-1712","0000-0003-0098-7960","0000-0001-5645-3373","0000-0001-9619-1320"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data covers the type of quantitative earthworm data (i.e. incidence, abundance, biomass, taxa), methodological details (e.g. sampling method/s, location/s, whether sampled plots were natural or experimental, sampling year/s), and environmental information (e.g. habitat/land-use, inclusion of climate data and basic soil properties). Data sources were collected through literature searches on Web of Science and Google Scholar, as well as directly from original authors/data holders where possible.  The data sources were compiled with the aim of gathering quantitative data on earthworm species and populations to develop earthworm abundance and niche models, and toward a modelling framework for earthworm impacts on soil processes. \n\nThis work is part of the Soil Organic Carbon Dynamics (SOC-D) project funded by the NERC UK-SCAPE programme (Grant reference NE/R016429/1).","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Ashwood","Schmidt","Cosby","Keith"],"fullName":["Mason, K.E.","Ashwood, F.","Schmidt, O.","Cosby, J.","Keith, A.M.","Mason, K."],"funder":["Natural Environment Research Council"],"givenName":["K.E.","F.","O.","J.","A.M.","Kelly"],"grant":["NE/R016429/1"],"identifier":"1a1000a8-4e7e-4851-8784-94c7ba3e164f","incomingCitationCount":0,"keyword":["Biodiversity","Soil","Worm","UK","Ireland","Lumbricidae’","ecosystem engineer","earthworm"],"keywordsOther":["Worm","UK","Ireland","Lumbricidae’","ecosystem engineer","earthworm"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"A systematic literature search was conducted to find data sources using Web of Science and Google Scholar (in June/July 2020). This used the following search term: \n(Earthworm* OR Oligochaeta OR Annelid* OR Lumbric* OR Clitellat*) AND (Diversity OR “Species richness” OR “OTU” OR Abundance OR individual* OR Density OR “tax* richness” OR “Number” OR Richness OR Biomass) AND (UK OR “United Kingdom” OR England OR Wales OR Scotland OR “NI” OR “Northern Ireland” OR “Ireland” OR “ROI”) \nPublications were selected and meta-data recorded if they contained location information and the presence of at least one species of earthworm or abundance/biomass data obtained from the field.  Further publications were found through screening of review papers and contact with selected authors for additional information and resources, including published and unpublished datasets.  In total, 257 data sources were compiled.   Original sources (i.e. published papers, book chapters) could not be obtained for 17 studies at the time of compiling meta-data and are thus lacking any additional information. \n","locations":["POLYGON((-11.285 49.58, -11.285 60.861, 1.768 60.861, 1.768 49.58, -11.285 49.58))"],"metadataDate":"2026-07-24T19:14:49.000Z","orcid":["0000-0003-3426-3178","0000-0001-7540-1712","0000-0003-0098-7960","0000-0001-5645-3373","0000-0001-9619-1320"],"organisation":["UK Centre for Ecology & Hydrology","Forest Research","University College Dublin","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a1000a8-4e7e-4851-8784-94c7ba3e164f","10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f","doi:10.5285/1a1000a8-4e7e-4851-8784-94c7ba3e164f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents a compendium of field-based earthworm data sources and associated meta-data from across the United Kingdom and Ireland (‘Worm source’).  These were compiled up to 2021 and include 257 data sources, the earliest dating back to 1891.  Source meta-data…","state":"published","temporalExtentText":"Data collected from 1891 to 2021","title":"A compendium of earthworm data sources and associated information from the UK and Ireland, 1891-2021","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Hull"],"authorFamilyName":["Delorme","Murphy","McLelland"],"authorFullName":["Delorme, P.","Murphy, B.J.","McLelland, S.J."],"authorGivenName":["P.","B.J.","S.J."],"authorOrcid":["0000-0002-5865-714X","0000-0002-1223-0917"],"authorRor":["https://ror.org/04nkhwh30"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at the upstream boundary of a flat sand bed. This model doesn’t attempt to reproduce any natural river, it’s a generic model design to explore the influence of discharge variation on the river evolution. We regularly measure the topography of the experimental area to follow the evolution of the river width, depth, slope, and conveyance capacity. The elevation is measured in metres.  The associated table contains the experimental characteristics: time (seconds), water discharge (L/min), and morphological characteristics extracted from the DEM. This is the raw data, so the width is in pixels, the depth is in metres and the conveyance capacity is in metre pixel.","documentType":"GEMINI_DOCUMENT","familyName":["Delorme","Murphy","McLelland"],"fullName":["Delorme, P.","Murphy, B.J.","McLelland, S.J."],"funder":["Natural Environment Research Council"],"givenName":["P.","B.J.","S.J."],"grant":["NE/S015795/2"],"identifier":"7b2071d6-da02-4f48-a87e-ccab19a737bd","incomingCitationCount":0,"keyword":["Hydrology","Modelling","flood sequencing","morphological evolution","experimental rivers","elevation"],"keywordsOther":["flood sequencing","morphological evolution","experimental rivers","elevation"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The data have been generated using a terrestrial laser scanner (Faro Focus X330). The laser scanner is in a fixed position above the experimental area. Seven targets (coordinates known) are erected in the area. Each scan is therefore reoriented using the location of the target, using the Faro software (Scene). We only accept scans with a re-orientation error lower than 0.5 mm. If the error is higher, we redo the scan.\n\nThe duration of a scan is about 10 minutes and the time between each scan depends on the experimental conditions (the exact duration between each scan can be found in the experimental data file).\n\nOnce the scan has been reoriented, we pre-process it using CloudCompare to select only the experimental area (remove the wall and instrument), we then convert this into a tiff file to analyse with python. \n\nThe scanner can’t see the surface under water, consequently we have to ensure that the experimental area is dry before we start scanning. If the surface is not dry the scan returns NaN values.\n","metadataDate":"2026-07-25T06:56:49.000Z","orcid":["0000-0002-5865-714X","0000-0002-1223-0917"],"organisation":["University of Hull","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7b2071d6-da02-4f48-a87e-ccab19a737bd","10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd","doi:10.5285/7b2071d6-da02-4f48-a87e-ccab19a737bd"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the elevation data of a 10m long, 20cm wide experimental river. This river was generated in an experimental flume (Total Environment Simulator) of the University of Hull. This river was formed spontaneously by imposing water and sediment flux at…","state":"published","title":"Digital Elevation Model of an experimental river generated in a flume under variable discharge conditions","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"altTitle":["UK Ecological Survey 1978"],"availability":"Unknown","catalogue":"eidc","description":"A range of data has been gathered under the Countryside Survey project including habitat areas, vegetation species, soil data, linear feature data and freshwater habitats.  Data were gathered in the 1978 survey of Great Britain - the first Countryside Survey. \n\nCountryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. 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. The 1km square sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of Britain. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of survey squares.","documentType":"GEMINI_DOCUMENT","identifier":"3083609a-5f6e-4b33-a061-47275787b7e4","incomingCitationCount":0,"keyword":["Environmental survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summers of 1977 and 1978 by surveyors. Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The areas of Biodiversity Action Plan (BAP) Broad Habitats were digitized in 2009. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology. Refer to the online documentation associated with resources belonging to this parent record. (Click on the relevant icon at the top of record to list the resources belonging to this parent record.)","locations":["POLYGON((-8.648 49.863, -8.648 60.86, 1.7675 60.86, 1.7675 49.863, -8.648 49.863))"],"metadataDate":"2026-07-24T20:33:44.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-02-28T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3083609a-5f6e-4b33-a061-47275787b7e4"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A range of data has been gathered under the Countryside Survey project including habitat areas, vegetation species, soil data, linear feature data and freshwater habitats.  Data were gathered in the 1978 survey of Great Britain - the first Countryside Survey. \n\nCountryside…","state":"published","supplementalName":["Countryside survey website"],"temporalExtentText":"Data collected from 1977 to 1978","title":"Countryside Survey 1978","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"altTitle":["LTLS","Analysing and simulating long-term and large-scale interactions of carbon nitrogen and phosphorus in UK land, freshwater and atmosphere","NERC Macronutrients Cycles Programme"],"availability":"Unknown","catalogue":"eidc","description":"Data made available from the Long Term Large Scale (LTLS) project include: Soil survey in England, Scotland and Wales carried out during 2013 and 2014, Survey of bracken biomass, soil chemistry and other environmental factors in Snowdonia and the Lake District in 2014 , Peat survey in England, Scotland and Wales carried out during 2014 [LTLS], Denitrification and greenhouse gas emissions in natural and semi-natural terrestrial ecosystems [LTLS] and Nitrogen and Carbon isotope data from 210Pb dated lake sediment cores in the United Kingdom.\n\nThe LTLS project is part of the NERC Macronutrients Cycles Programme and was funded by NERC and the Scottish Government.","documentType":"GEMINI_DOCUMENT","identifier":"503cc324-6bb1-4f23-9e55-d8358ff77156","incomingCitationCount":0,"keyword":["Environmental survey"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648393 49.86382, -8.648393 60.86099, 1.767549 60.86099, 1.767549 49.86382, -8.648393 49.86382))"],"metadataDate":"2026-07-24T23:02:47.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-03-09T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/503cc324-6bb1-4f23-9e55-d8358ff77156"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data made available from the Long Term Large Scale (LTLS) project include: Soil survey in England, Scotland and Wales carried out during 2013 and 2014, Survey of bracken biomass, soil chemistry and other environmental factors in Snowdonia and the Lake District in 2014…","state":"published","supplementalName":["LTLS website"],"temporalExtentText":"Data collection started in 1800","title":"The Long Term Large Scale Project [LTLS]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University"],"authorFamilyName":["Mugabo","Gilljam","Petteway","Yuan","Fowler","Sait"],"authorFullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"authorGivenName":["M. ","D.","L.","C.","M. S.","S. M."],"authorOrcid":["0000-0002-2346-2617","0000-0003-1544-0407"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on life history traits of the host Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst).\n\nThe data was collected from a single generation life history experiment investigating the combined effects of daily stochastic temperature fluctuations and resource degradation on individual life history in the Plodia-Venturia host-parasitoid trophic interaction. The Plodia interpunctella data include egg viability, egg status, hatching date, adult emergence date, date of death, sex, egg length in mm, and adult leg (mid-femur) length in mm. The Venturia canescens data include adult emergence date, adult emergence outcome (i.e., the species that emerged from parasitized host larvae), date of death and adult leg (hind-tibia) length in mm. The temperature time series data include the date and daily temperature in the fluctuating temperatures treatment.","documentType":"GEMINI_DOCUMENT","familyName":["Mugabo","Gilljam","Petteway","Yuan","Fowler","Sait"],"fullName":["Mugabo, M.","Gilljam, D.","Petteway, L.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"funder":["Natural Environment Research Council"],"givenName":["M. ","D.","L.","C.","M. S.","S. M.","Marianne"],"identifier":"52b6b432-8f69-4b08-8a47-04e40f656f55","incomingCitationCount":1,"keyword":["Animal behaviour","Venturia canescens","Plodia interpunctella","parasitoid wasp"],"keywordsOther":["Venturia canescens","Plodia interpunctella","parasitoid wasp"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The unparasitized and parasitized hosts life history experiment used hosts from laboratory stock cultures and parasitoids from a laboratory parthenogenetic thelytokous (asexual) strain, which were kept on non-degraded host resource at constant 28°C in incubators with a 16:8h light cycle. Daily temperature variation and host resource degradation (also referred as ‘diet’ in datasets) were manipulated in a full factorial design. Two temperature treatments in each resource degradation treatment were compared. Both temperature treatments were characterized by a mean temperature of 26°C, which did not vary in the constant (‘CST’) treatment and varied randomly between 22.3 and 30.2°C every 24h in the variable (‘VAR’) treatment (26°C ± 1.5°C SD, AR(1) = 0.02, 95% CI [-0.10, 0.14].\n\nA gradient of resource degradation was created from none to high by replacing 0, 25, 50 and 75 % of wheat germ in the host’s diet with methyl cellulose, an indigestible bulking agent with no nutritional value. The life history experiment started on day 5 of the temperature time series and lasted for 74 days. \n\nThere were 40 unparasitized and 25 parasitized host larvae in each temperature by resource degradation treatment. Each host egg in the unparasitized hosts assay was kept individually (i.e., no competition for resources) under its assigned temperature treatment with 0.3 g of its assigned diet (ad libitum) and monitored daily until death for life history and morphological traits. Host eggs in the parasitized hosts assay were kept in 8 groups of 100 eggs under their assigned temperature treatment with 30.0 g of their assigned resource until they were parasitized. Parasitism took place over a period of three days from age 20 to 22 days [8-9 larva per treatment parasitized on each day as fourth or fifth instars, the most suitable hosts for Venturia’s development]. Parasitized larvae were then kept individually under their assigned temperature treatment with 0.3 g of their assigned resource and monitored daily until the death of the host, the parasitoid or both. More details of the material and methods can be found in the Supplementary information.","metadataDate":"2026-07-24T23:03:45.000Z","orcid":["0000-0002-2346-2617","0000-0003-1544-0407"],"organisation":["University of Leeds","Swedish University of Agricultural Sciences","Swansea University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/52b6b432-8f69-4b08-8a47-04e40f656f55","10.5285/52b6b432-8f69-4b08-8a47-04e40f656f55","doi:10.5285/52b6b432-8f69-4b08-8a47-04e40f656f55"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/02yy8x990","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on life history traits of the host Plodia interpunctella (Pyralidae; Hübner) and the parasitoid wasp Venturia canescens (Ichneumonidae; Gravenhorst).\n\nThe data was collected from a single generation life history experiment investigating…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Individual life history data from a resource degradation and temperature variation life history experiment in the Plodia-Venturia host-parasitoid interaction","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Aberdeen","Indian Institute of Rice Research","Indian Institute of Soil Science","University of Agriculture Faisalabad","Bangladesh Rice Research Institute"],"authorFamilyName":["Price","Neeraja","Ananadan","Maqsood","Kiran","Naher"],"authorFullName":["Price, A.","Neeraja, C.","Ananadan, A.","Maqsood, M.A.","Kiran, A.","Naher, U.A."],"authorGivenName":["A.","CN","Annamalai","Muhammed Aamer","Aysha","Umme Aminun"],"authorRor":["https://ror.org/016476m91","https://ror.org/021j5pp16","https://ror.org/05j873a45","https://ror.org/054d77k59","https://ror.org/01zmzpt10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset is in csv format recording trait values measured on a subset of the Bengal and Assam Aus Panel (BAAP) of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons. Traits are leaf nitrogen content (measured with a Soil Plant Analysis Development (SPAD) meter) at 45 and 60 days, days to flowering and at harvest plant height, number of tillers, straw biomass and grain yield.  The purpose was to assess members of the BAAP for their response to nitrogen treatment in the field for identification of rice cultivars for high nitrogen use efficiency (NUE) plus quantitative trait loci (QTL) and candidate genes for NUE","documentType":"GEMINI_DOCUMENT","familyName":["Price","Neeraja","Ananadan","Maqsood","Kiran","Naher"],"fullName":["Price, A.","Neeraja, C.","Ananadan, A.","Maqsood, M.A.","Kiran, A.","Naher, U.A."],"funder":["Natural Environment Research Council"],"givenName":["A.","CN","Annamalai","Muhammed Aamer","Aysha","Umme Aminun"],"grant":["NE/S009019/1"],"identifier":"1e20a1c8-6aeb-4365-866d-71b24c497586","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","rice","nitrogen"],"keywordsOther":["rice","nitrogen"],"keywordsTheme":["Agriculture","Climate and climate change"],"licence":"Open government licence","lineage":"Each of four project partners obtained seeds of approximately 300 rice accessions of the BAAP from the International Rice Research Institute and grew them to multiply seed supply. They each used the seed obtained to conducted screens the accessions in two levels of nitrogen application over two years, collected data, entered data into an excel spread sheet, checked it for errors and submitted to a project datasharing site. All the datasets were combined into one.   ","locations":["POLYGON((71.021 14.435, 71.021 36.598, 92.284 36.598, 92.284 14.435, 71.021 14.435))"],"metadataDate":"2026-07-24T19:18:40.000Z","organisation":["University of Aberdeen","Indian Institute of Rice Research","Indian Institute of Soil Science","University of Agriculture Faisalabad","Bangladesh Rice Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e20a1c8-6aeb-4365-866d-71b24c497586","10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586","doi:10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/021j5pp16","https://ror.org/05j873a45","https://ror.org/054d77k59","https://ror.org/01zmzpt10","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset is in csv format recording trait values measured on a subset of the Bengal and Assam Aus Panel (BAAP) of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons. Traits are leaf nitrogen content (measured…","state":"published","title":"Trait values measured on a subset of the Bengal and Assam Aus Panel of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons","topic":["0/Agriculture/","0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["H.","A.","M.","Hilary"],"grant":["NE/J015644/1"],"identifier":"c726249f-c2d8-4aeb-9af2-60a40de40be2","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","pH","grassland","soil","salt marsh"],"keywordsOther":["pH","grassland","soil","salt marsh"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Soil pH was measured from within each 1metre (m) x 1m quadrat using a combined pH/electrical conductivity probe. The location of the sample sites was determined by randomly allocated quadrats. Results were recorded onto field sheets. These data were transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:39:26.000Z","orcid":["0000-0002-9882-6972","0000-0002-9145-9786","0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c726249f-c2d8-4aeb-9af2-60a40de40be2","10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2","doi:10.5285/c726249f-c2d8-4aeb-9af2-60a40de40be2"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the pH of a 10 gram soil sample from the top 5 centimetre of soil taken within each 1 metre (m) x 1m quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil pH on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Anofa Engineering, Planning and Informatics Ltd.","National Society for Earthquake Technology","University College London","Gebze Technical University","An-Najah National University","Ardhi University","Africa Research and Impact Network","Chittagong University of Engineering & Technology","Centro de Informacion Urbana de Quito"],"authorFamilyName":["Menteşe","Özer","Rawal","Comelli","Cetin","Dabeek","Kyesii","Chengo","Zisan","Cubillo"],"authorFullName":["Menteşe, E.Y.","Özer, E.","Rawal, P.","Comelli, T.","Cetin, N.İ.","Dabeek, J.","Kyesii, A.","Chengo, V.","Zisan, B.","Cubillo, P."],"authorGivenName":["E.Y.","E.","P.","T.","N.İ.","J.","A.","V.","B."],"authorOrcid":["0000-0002-7187-4384","0000-0003-3484-4183","0000-0001-7940-8014","0000-0003-3173-2602","0000-0002-8141-8112","0000-0001-8369-4105","0000-0002-7058-5070","0000-0001-5116-5874","0000-0002-6959-0235","0009-0009-6117-9466"],"authorRor":["https://ror.org/058m30p27","https://ror.org/02jx3x895","https://ror.org/01sdnnq10","https://ror.org/0046mja08","https://ror.org/05k903r09","https://ror.org/052qsay17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","json","GeoJSON","qmd"],"description":"This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings, roads, and power networks, as well as social elements such as households and individuals. The dataset contains a maximum of 9 different data types, described below. For some cities power and road network data were not considered due to context specific priorities. \n\nlanduse: The land use plan data depicting how the land will be zoned and used in the next fifty years within the area or interest. The attributes include the land use type, areal coverage in hectares, maximum population density and existing population. \n\nbuilding: Data representing the building footprints that will emerge as a result of the future exposure generation procedure. It includes the attributes of the building such as its identifier number, construction type, number of floors, footprint area, occupation type and construction code level.\n\nroad nodes: Data representing the points where road segments (edges) are connected to each other, including the identifier number for each node.\n\nroad edges: Data representing the road segments, including the ID numbers of the starting and ending point (node).\n\npower nodes: Data representing the points where power lines (edges) are connected to each other, including the identifier number for each node.\n\npower edges: Data representing the power segments, including the including the ID numbers of the starting and ending point (node).\n\nhousehold: Data that contains social attributes of a household living in a building. The attributes include number of individuals, income level and commonly used facility ID (such as hospital). \n\nindividual: Data that contains the attributes of the individuals that are a part of a household. The attributes are age, gender, school ID (if relevant), workplace ID (if relevant) and last attained education level.\n\nDistribution table: The future projections for each city that identifies the socio-demographic changes and expected physical development in the next 50 years.\n\nThe data can be used in geospatial platforms. The nomenclature for the data is as follows:\n“CitynameFutureExposureDataset/Cityname_CommunityCode_DataType”. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1).","documentType":"GEMINI_DOCUMENT","familyName":["Menteşe","Özer","Rawal","Comelli","Cetin","Dabeek","Kyesii","Chengo","Zisan","Cubillo"],"fullName":["Menteşe, E.Y.","Özer, E.","Rawal, P.","Comelli, T.","Cetin, N.İ.","Dabeek, J.","Kyesii, A.","Chengo, V.","Zisan, B.","Cubillo, P."],"funder":["Natural Environment Research Council"],"givenName":["E.Y.","E.","P.","T.","N.İ.","J.","A.","V.","B."],"grant":["NE/S009000/1"],"identifier":"cdfea06f-d47c-4967-99d4-cc71bddea45d","incomingCitationCount":0,"keyword":["Environmental risk","Future","risk exposure","exposure","hazard","urban","Tomorrow's cities","GCRF Urban Disaster Risk Hub"],"keywordsOther":["Future","risk exposure","exposure","hazard","urban","Tomorrow's cities","GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"For generating the future exposure dataset for each city, a specific computational algorithm that takes into account the land use plan and user defined future projections is used. The algorithm is explained in detail by Mentese et al., 2023.\n\nThe production of the land use plan relies on a community based process, that includes different community groups’ involvement and participatory engagement. In these engagements, in each city, specific groups are identified with the guidance of local experts as part of the Tomorrow’s Cities Project. After the identification, experts from Tomorrow’s Cities Project, local experts and community representatives from the community groups gather for participatory spatial planning for their future urban contexts.\n\nThen, the produced land use plan is integrated (using the software algorithm) with the future socio-demographic projections and expected physical development defined by the local experts and existing literature on the context. As a result of this procedures, building data, socio-demographic datasets and network related data (where relevant) is produced.\n","locations":["POLYGON((-82.267 -13.582, -82.267 44.214, 77.696 44.214, 77.696 -13.582, -82.267 -13.582))"],"metadataDate":"2026-07-25T14:06:29.000Z","orcid":["0000-0002-7187-4384","0000-0003-3484-4183","0000-0001-7940-8014","0000-0003-3173-2602","0000-0002-8141-8112","0000-0001-8369-4105","0000-0002-7058-5070","0000-0001-5116-5874","0000-0002-6959-0235","0009-0009-6117-9466"],"organisation":["Anofa Engineering, Planning and Informatics Ltd.","National Society for Earthquake Technology","University College London","Gebze Technical University","An-Najah National University","Ardhi University","Africa Research and Impact Network","Chittagong University of Engineering & Technology","Centro de Informacion Urbana de Quito","NERC EDS Environmental Information Data Centre","University of Edinburgh"],"publicationDate":"2025-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cdfea06f-d47c-4967-99d4-cc71bddea45d","10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d","doi:10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/058m30p27","https://ror.org/02jx3x895","https://ror.org/01sdnnq10","https://ror.org/0046mja08","https://ror.org/05k903r09","https://ror.org/052qsay17","https://ror.org/04xw4m193","https://ror.org/01nrxwf90"],"shortenedDescription":"This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings,…","state":"published","supplementalDescription":["Menteşe, E. Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M. E., & McCloskey, J. (2023). Future exposure modelling for risk-informed decision making in urban planning. International Journal of Disaster Risk Reduction, 90, 103651."],"title":"Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Queen Mary University of London"],"authorFamilyName":["Lansdown","Heppell","Trimmer"],"authorFullName":["Lansdown, K.","Heppell, C.M.","Trimmer, M."],"authorGivenName":["K.","C. M.","M."],"authorOrcid":["0000-0001-6028-1359"],"authorRor":["https://ror.org/026zzn846"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains denitrification, anaerobic ammonium oxidation (anammox) and nitrification activity of riverine sediments in the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. Data were obtained via direct, field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Also included are chemical parameters determined in porewaters prior to in situ rate measurements.","documentType":"GEMINI_DOCUMENT","familyName":["Lansdown","Heppell","Trimmer"],"fullName":["Lansdown, K.","Heppell, C.M.","Trimmer, M."],"givenName":["K.","C. M.","M.","Karina"],"identifier":"9d17d85d-eae2-4056-ad77-f1bc1c368b56","incomingCitationCount":0,"keyword":["United Kingdom","England","Hampshire Avon","Anaerobic","Ammonium oxidation","nitrogen cycle","nitrification","sediment","river","denitrification"],"keywordsOther":["Anaerobic","Ammonium oxidation","nitrogen cycle","nitrification","sediment","river","denitrification"],"keywordsPlace":["United Kingdom","England","Hampshire Avon"],"licence":"Open government licence","lineage":"All data were generated by the authors. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We also ensured measured values fit within those of calibration standards and, if necessary, re-analysed samples diluted to fall within the calibration range. For data generated via mass spectrometry, beam areas of all measured mass-to-charge ratios were corrected for drift offline using control standards. All data were checked to ensure reported values were above the detection limit of the method. All calculations were checked for errors before data was accepted.","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-09-15T08:43:25.000Z","orcid":["0000-0001-6028-1359"],"organisation":["Queen Mary University of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9d17d85d-eae2-4056-ad77-f1bc1c368b56","10.5285/9d17d85d-eae2-4056-ad77-f1bc1c368b56","doi:10.5285/9d17d85d-eae2-4056-ad77-f1bc1c368b56"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains denitrification, anaerobic ammonium oxidation (anammox) and nitrification activity of riverine sediments in the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. Data were…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Nitrogen transformations in riverine sediments, Hampshire Avon, United Kingdom","version":1.0,"view":["public","kath"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of stock (length) data for linear features across Great Britain in 1990 in a vector format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths per 1km square for seven different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"ce514508-bd25-403e-bb35-42001e3c2b25","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","hedges","fences","walls","tree lines","grass strips","banks"],"keywordsOther":["hedges","fences","walls","tree lines","grass strips","banks"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean lengths per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:06:44.000Z","orcid":["0000-0003-4494-7450","0000-0003-4006-7755","0000-0001-9349-0069","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":"2014-10-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409658096229","CEH:EIDC::1409658096229","https://catalogue.ceh.ac.uk/id/ce514508-bd25-403e-bb35-42001e3c2b25","10.5285/ce514508-bd25-403e-bb35-42001e3c2b25","doi:10.5285/ce514508-bd25-403e-bb35-42001e3c2b25"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 1990 in a vector format. The data are national estimates generated by analysing the sample data from 508 1km squares surveyed for the Countryside Survey long term monitoring project,…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Countryside Survey 1990 mapped estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Khamis","Smith","Fry","Evans"],"authorFullName":["Khamis, D.","Smith, R.","Fry, M.","Evans, J."],"authorGivenName":["D.","R.","M.","J."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset contains model outputs of daily mean volumetric water content and topsoil temperature at 1 km resolution across the UK mainland for the years 1965-2018. The outputs are generated using neural network models trained on COSMOS-UK (cosmic-ray soil moisture) observational data. The data are presented in monthly NetCDF files on the British National Grid.","documentType":"GEMINI_DOCUMENT","familyName":["Khamis","Smith","Fry","Evans"],"fullName":["Khamis, D.","Smith, R.","Fry, M.","Evans, J."],"funder":["Natural Environment Research Council"],"givenName":["D.","R.","M.","J.","Doran"],"identifier":"5100e84a-6af9-419b-b4b6-4a5df13b1aec","incomingCitationCount":1,"keyword":["COSMOS","Soil","land surface temperature","soil temperature","soil moisture"],"keywordsOther":["land surface temperature","soil temperature","soil moisture"],"keywordsProject":["COSMOS"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The driving meteorology used to produce the outputs were from the CHESS-met dataset. Specifically, the inputs required to generate topsoil temperature outputs are: current day and previous day driving meteorology (temperature, total precipitation, longwave radiation, shortwave radiation, and the sunlight-hours average shortwave radiation); soil type vector (normalized ratios of five classes: sand, silt, clay, chalk, peat); soil organic carbon; bulk density of soil; land cover vector; elevation. There is an optional input of the MODIS 1 km Land Surface Temperature satellite product Day and/or Night values. The output of the topsoil temperature model is used as input to the soil moisture model.\n\nThe inputs required for the soil moisture model are: daily driving meteorology (temperature, pressure, total precipitation, relative humidity, longwave radiation, shortwave radiation, wind speed, and the sunlight-hours average shortwave radiation); soil type vector (normalized ratios of five classes: sand, silt, clay, chalk, peat); soil organic carbon; bulk density of soil; base flow index from the hydrology of soil types (BFIHOST); land cover vector; soil temperature; elevation. There is an optional input of the daily 1 km Soil Water Index satellite product from Copernicus.\n\nVolumetric water content values in the COSMOS-UK data (TDT point probes and neutron sensor) that were higher than 90% were removed from the training set. The COSMOS-UK site Tadham Moor was removed from the training set after visual inspection of the TDT and neutron sensor data.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-11T08:34:16.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5100e84a-6af9-419b-b4b6-4a5df13b1aec","10.5285/5100e84a-6af9-419b-b4b6-4a5df13b1aec","doi:10.5285/5100e84a-6af9-419b-b4b6-4a5df13b1aec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains model outputs of daily mean volumetric water content and topsoil temperature at 1 km resolution across the UK mainland for the years 1965-2018. The outputs are generated using neural network models trained on COSMOS-UK (cosmic-ray soil moisture)…","state":"published","temporalExtentText":"Data collected from 1965 to 2018","title":"Modelled daily soil moisture and soil temperature at 1km resolution across the UK mainland, 1965-2018","topic":["0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Akinbobola","Quilliam"],"authorFullName":["Akinbobola, A.","Quilliam, R."],"authorGivenName":["Ayorinde ","Richard"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature regimes in simulated environments and their survival was quantified by estimating the viability of exposed cells at intervals. The impact of exposure to environmental stress on the virulence of C. auris cells was also evaluated based on their virulence in Galleria mellonella larvae. The impact of pre-exposure to clinical and environmentally relevant temperatures on the susceptibility of C. auris strains to medical and agricultural azoles was also evaluated. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/V005847/1)","documentType":"GEMINI_DOCUMENT","familyName":["Akinbobola","Quilliam"],"fullName":["Akinbobola, A.","Quilliam, R.","Ayorinde Akinbobola"],"funder":["Natural Environment Research Council"],"givenName":["Ayorinde ","Richard"],"grant":["NE/V005847/1"],"identifier":"722e45d2-0034-43ea-a4af-c4bfcc337ef0","incomingCitationCount":0,"keyword":["Environmental risk","Persistence","Environmental UV","Candida auris"],"keywordsOther":["Persistence","Environmental UV","Candida auris"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"This dataset was collected from microcosm experiments to evaluate the potential of Candida auris to survive selected environmental stress. The viability of Candida auris strains was estimated based on their colony-forming units after exposure to environmental UV stress or low cycling temperature. The impact of selected environmental stress on the virulence of Candida auris was also evaluated based on the survival of Galleria mellonella larvae infected with Candida auris cells exposed to selected stress compared to the survival of Galleria mellonella larvae infected with Candida auris cells not exposed to environmental stress. The impact of pre-exposure to different temperatures on the antifungal susceptibility of Candida auris was also evaluated by comparing the colony-forming units of Candida auris cells pre-exposed to different temperatures after treatment with different concentrations of fluconazole or difenoconazole. To ensure the quality of data generated, each experiment inluded at least three replicates and experimental controls.  ","metadataDate":"2026-07-25T06:51:45.000Z","organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/722e45d2-0034-43ea-a4af-c4bfcc337ef0","10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0","doi:10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature…","state":"published","title":"Survival and virulence of Candida auris under selected environmental stress","topic":["0/Environmental risk/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","description":"NC-International: NERC-funded programme delivering international science for net zero plus as part of national capability.\nAround the globe, progress towards Net Zero and adaptation to climate change is underpinned by our understanding of the linkages between land and water systems. The NC-International programme aims to answer the following thematic science questions:\n1.\tWhat changes in climate, pollution, and land management limit the land's ability to absorb more carbon now and in the future?\n2.\tWhat are the trade-offs and co-benefits of net-zero land-based mitigation options on food production, biodiversity, and soil, water, and air quality?\n3.\tHow can we adapt to climate change and become more resilient to natural hazards like floods, droughts, fires, and extreme weather?\nNC-International comprises nine, individual but interlinked, projects, nested within the three thematic areas above and across either global, southeast Asia or sub-Saharan Africa. Project 2C, \"Net Zero Plus Trade-offs and Co-benefits in Sub-Saharan Africa\", addresses the second theme, with a focus on Lake Victoria in sub-Saharan Africa. \nThis data collection represents a suite of geospatial (raster and polygon) datasets that describe land degradation processes (soil erosion and nutrient fluxes from land to water) and provision of ecosystem services (nutrient and soil retention, runoff and baseflow regulation, and terrestrial carbon storage) in Lake Victoria's catchment area. These were produced at the UK Centre for Ecology & Hydrology using spatially explicit empirical models including the Revised Universal Soil Loss Equation (RUSLE) and the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform.","documentType":"GEMINI_DOCUMENT","identifier":"f358a601-ab80-4007-9c2e-2fcacbdb5bf4","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T18:06:03.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f358a601-ab80-4007-9c2e-2fcacbdb5bf4"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"NC-International: NERC-funded programme delivering international science for net zero plus as part of national capability.\nAround the globe, progress towards Net Zero and adaptation to climate change is underpinned by our understanding of the linkages between land and…","state":"published","supplementalDescription":["NC-International programme website"],"title":"Environmental modelling and monitoring data of land and freshwater ecosystems as part of NC-International Project 2C: Net Zero Plus trade-offs and co-benefits in Sub-Saharan Africa","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of St Andrews","Bangor University"],"authorFamilyName":["Ruranska","Miller","Hindle","Ladd","Smeaton","Skov","Austin"],"authorFullName":["Ruranska, P.","Miller, L.C.","Hindle, C.","Ladd, C.J.T.","Smeaton, C.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["P.","L.C.","C.","C.J.T.","M.W.","W.E.N."],"authorOrcid":["0000-0001-6246-0203","0000-0003-2876-4312","0000-0001-5437-6474","0000-0003-4535-2555","0000-0002-7204-3865","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of biogeochemical measurements of saltmarsh soil collected from 46 salt marshes across Scotland. Sites were chosen to represent contrasting habitats across Scotland, in particular sediment types, vegetation and sea level history. The data provide a quantitative measure of the dry bulk density, soil texture, organic matter content (LOI) and organic carbon present within surface soils (up to a depth of 10 cm). A total of 471 samples were collected, 157 of the samples were collected using modified syringe samplers as part of the citizen scientist programme CarbonQuest (Part of C-SIDE) these were supplemented by a further 109  samples from the C-SIDE team. The remaining 205 samples were collected using a soil corer (Gouge) as part of the C-SIDE sampling programme. The samples were processed for bulk density, soil texture, organic matter content using the Loss on Ignition (LOI) method and the organic carbon was quantified through elemental analysis. The data were collected to help create a detailed picture of saltmarsh carbon storage across Scotland.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1\n","documentType":"GEMINI_DOCUMENT","familyName":["Ruranska","Miller","Hindle","Ladd","Smeaton","Skov","Austin"],"fullName":["Ruranska, P.","Miller, L.C.","Hindle, C.","Ladd, C.J.T.","Smeaton, C.","Skov, M.W.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["P.","L.C.","C.","C.J.T.","M.W.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"81a1301f-e5e2-44f9-afe0-0ea5bb08010f","incomingCitationCount":1,"keyword":["Scotland","LOI","carbon","blue carbon","loss on ignition","organic carbon","organic matter","soil texture","bulk density","citizen science","soil","sediment","salt marsh","coastal","wetland","intertidal"],"keywordsOther":["Scotland","LOI","carbon","blue carbon","loss on ignition","organic carbon","organic matter","soil texture","bulk density","citizen science","soil","sediment","salt marsh","coastal","wetland","intertidal"],"licence":"Open government licence","lineage":"Soil cores were taken at each sampling location using a modified syringe corer (50ml) or a  soil corer (30mm Gouge). The location of the sample was recorded using GPS. Prior to analysis the samples were stored at -20 degrees Celsius at the University of St Andrews. Dry bulk density, soil texture, organic matter content and organic carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) file for ingestion into the EIDC.","locations":["POLYGON((-6.374 55.197, -6.374 59.22, -1.372 59.22, -1.372 55.197, -6.374 55.197))"],"metadataDate":"2026-09-15T09:55:19.000Z","orcid":["0000-0001-6246-0203","0000-0003-2876-4312","0000-0001-5437-6474","0000-0003-4535-2555","0000-0002-7204-3865","0000-0001-6544-3468"],"organisation":["University of St Andrews","Bangor University","NERC Environmental Information Data Centre","The University Court of the University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81a1301f-e5e2-44f9-afe0-0ea5bb08010f","10.5285/81a1301f-e5e2-44f9-afe0-0ea5bb08010f","doi:10.5285/81a1301f-e5e2-44f9-afe0-0ea5bb08010f"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of biogeochemical measurements of saltmarsh soil collected from 46 salt marshes across Scotland. Sites were chosen to represent contrasting habitats across Scotland, in particular sediment types, vegetation and sea level history. The data provide…","state":"published","supplementalName":["C-SIDE website"],"temporalExtentText":"Data collected from 2018 to 2020","title":"Dry bulk density, loss on ignition and organic carbon content of surficial soils from Scottish salt marshes, 2018-2019","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Cambridge","Imperial College London"],"authorFamilyName":["Nunes","Ewers","Turner","Coomes"],"authorFullName":["Nunes, M.H.","Ewers, R.M.","Turner, E.C.","Coomes, D.A."],"authorGivenName":["M.H.","R.M.","E.C.","D.A."],"authorRor":["https://ror.org/013meh722","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014.  This includes the number of trees in plots and the average forest canopy per hectare at different heights.  Data were collected during a project which was included in the NERC Human-modified tropical forest (HMTF) Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Nunes","Ewers","Turner","Coomes"],"fullName":["Nunes, M.H.","Ewers, R.M.","Turner, E.C.","Coomes, D.A.","Nunes, M."],"givenName":["M.H.","R.M.","E.C.","D.A.","Matheus"],"identifier":"6e18121c-2184-49df-a852-f3227c28d82f","incomingCitationCount":0,"keyword":["Malaysian Borneo","Sabah","Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)","forest density ","canopy density ","tropical forest","tree"],"keywordsOther":["forest density ","canopy density ","tropical forest","tree"],"keywordsPlace":["Malaysian Borneo","Sabah"],"keywordsProject":["Stability of Altered Forest Ecosystems (SAFE)","Human-modified tropical forest (HMTF)"],"licence":"Open government licence","lineage":"The work was carried out in the oil palm plantations within the Stability of Altered Forest Ecosystem (SAFE) Project, located within lowland dipterocarp forest regions of East Sabah in Malaysian Borneo.  Airborne LiDAR data were acquired on 5 November 2014 using a Leica LiDAR50-II flown at 1850 m altitude on a Dornier 228-201 travelling at 135 knots. The LiDAR sensor emitted pulses at 83.1 Hz with a field of view of 12.0°, and a footprint of about 40 cm diameter. The average pulse density was 7.3/m2. The Leica LiDAR50-II sensor records full waveform LiDAR, but for the purposes of this study the data were discretised, with up to four returns recorded per pulse.  The LiDAR data were pre-processed by NERC's Data Analysis Node and delivered in standard LAS format. All further processing was undertaken using LAStools (Rapidlasso GmbH, LAStools). Points were classified as ground and non-ground, and a digital elevation model (DEM) was fitted to the ground returns, producing a raster of 1 m resolution. The DEM elevations were subtracted from elevations of all non-ground returns to produce a normalised point cloud, and a canopy height model (CHM) was constructed from this on a 0.5 m raster by averaging the first returns. Finally, holes in the raster were filled by averaging neighbouring cells.  See supporting documentation for further information.","locations":["POLYGON((117.42 4.583, 117.42 4.774, 117.719 4.774, 117.719 4.583, 117.42 4.583))"],"metadataDate":"2026-09-15T08:38:33.000Z","organisation":["University of Cambridge","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e18121c-2184-49df-a852-f3227c28d82f","10.5285/6e18121c-2184-49df-a852-f3227c28d82f","doi:10.5285/6e18121c-2184-49df-a852-f3227c28d82f"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"This data set provides above-ground carbon density derived from LiDAR data over oil palm plantations in the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo in 2014.  This includes the number of trees in plots and the average…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Above-ground carbon density derived from LiDAR data over oil palm plantations in Malaysian Borneo, 2014 ","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["British Geological Survey"],"authorFamilyName":["Leeming","Bloomfield"],"authorFullName":["Leeming, K.A.","Bloomfield, J.P."],"authorGivenName":["K. A.","J. P."],"authorRor":["https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains exponential parameters from fitting an exponential curve to Delayed Flow Index (DFI or Characteristic Delay) curves using river discharge data from CAMELS-GB (Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great Britain). The DFI curve at each catchment describes the response to rainfall over different time windows. The exponential parameters summarise the shape of the DFI curve at each site. ","documentType":"GEMINI_DOCUMENT","familyName":["Leeming","Bloomfield"],"fullName":["Leeming, K.A.","Bloomfield, J.P.","Kathryn Leeming"],"funder":["Natural Environment Research Council"],"givenName":["K. A.","J. P."],"grant":["NE/X002470/1"],"identifier":"d1df0a31-d329-4b21-8aa0-ba135d6a8042","incomingCitationCount":0,"keyword":["Hydrology","stream flow","hydrology"],"keywordsOther":["stream flow","hydrology"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"This dataset is generated using the CAMELS-GB dataset (https://doi.org/10.5285/8344e4f3-d2ea-44f5-8afa-86d2987543a9) with two main steps: calculating the Delayed Flow Index for each catchment, then fitting an exponential curve with three parameters (a, b, c) to these values.\n\nOne catchment (39036) did not achieve convergence so has NA values for the a, b, c parameters. \nThe a, b, c parameters are saved rounded to three decimal places.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:17:47.000Z","organisation":["British Geological Survey","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d1df0a31-d329-4b21-8aa0-ba135d6a8042","10.5285/d1df0a31-d329-4b21-8aa0-ba135d6a8042","doi:10.5285/d1df0a31-d329-4b21-8aa0-ba135d6a8042"],"resourceType":"Dataset","rightsHolder":["British Geological Survey"],"ror":["https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains exponential parameters from fitting an exponential curve to Delayed Flow Index (DFI or Characteristic Delay) curves using river discharge data from CAMELS-GB (Catchment attributes and hydro-meteorological timeseries for 671 catchments across Great…","state":"published","temporalExtentText":"Data collected from 1970 to 2015","title":"Exponential parameters fitted to Delayed Flow Indices curves calculated for GB catchments, 1970-2015","topic":["0/Hydrology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter","University of Rwanda","University of Gothenburg"],"authorFamilyName":["Restrepo Correa","Tylor","Niyigena","Johansson","Wallin","Nsabimana","Uddling","Mercado"],"authorFullName":["Restrepo Correa, Z.","Tylor, T.","Niyigena, E.","Johansson, K.S.L.","Wallin, G.","Nsabimana, D.","Uddling, J.","Mercado, L.M."],"authorGivenName":["Zorayda","Tyeen","Esther","Karin S.L.","Göran","Donat","Johan","Lina M"],"authorOrcid":["0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-3854-3265","0000-0002-5359-1102","0000-0003-4893-1915","0000-0003-4069-0838"],"authorRor":["https://ror.org/00286hs46","https://ror.org/01tm6cn81","https://ror.org/03yghzc09"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset compiles leaf-level functional traits collected at a tropical elevational gradient in the Albertine Rift in Rwanda at two experimental sites across two common garden plantations with contrasting mean annual temperatures (15.2°C and 20.0°C). Sampling included species from eight native tropical Afromontane and transitional rainforest.\nThe dataset includes leaf structural traits (leaf area, thickness, and leaf mass per area (LMA)), leaf optical properties (reflectance, transmittance, and absorptance) and leaf angle measurements (pitch, roll, azimuth, and vertical angle).\nMeasurement campaigns were conducted between January and February 2025.\nTogether, these data provide a comprehensive characterization of leaf functional and thermoregulation traits across contrasting tropical montane environments, supporting research on plant ecophysiology, climate adaptation, and ecosystem responses to environmental stress.","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo Correa","Tylor","Niyigena","Johansson","Wallin","Nsabimana","Uddling","Mercado"],"fullName":["Restrepo Correa, Z.","Tylor, T.","Niyigena, E.","Johansson, K.S.L.","Wallin, G.","Nsabimana, D.","Uddling, J.","Mercado, L.M.","Zorayda Restrepo Correa"],"funder":["Natural Environment Research Council"],"givenName":["Zorayda","Tyeen","Esther","Karin S.L.","Göran","Donat","Johan","Lina M"],"grant":["NE/X001172/1"],"identifier":"37c4c87a-de90-4b35-96d8-32e077c5dab2","incomingCitationCount":0,"keyword":["Climate and climate change","Biodiversity","tropical forest","elevational gradient","plant ecology","leaf traits","thermoregulation","common garden","Central Africa","heat stress"],"keywordsOther":["tropical forest","elevational gradient","plant ecology","leaf traits","thermoregulation","common garden","Central Africa","heat stress"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"The experiments were designed as common garden plantations with a focus on native tree species from early and late successional stages from Afromontane and transitional rainforests in the Albertine rift in Rwanda. Experimental sites were established during December 2017 and January 2018 spanning high and mid elevations and include a 15.2 °C MAT site (elevation = 2400 m a.s.l., T 99%tile = 23.1 °C; annual precipitation = 2100mm, latitude= 2.515S, longitude= 29.395556E) and 20 °C MAT site (elevation = 1600 m a.s.l., T99%tile = 28.5 °C; annual precipitation = 1700 mm, latitude= 2.475S, longitude= 29.780277E) and a third experimental site at lower elevation not used in this data set. At each experimental site, 1800 trees were planted across 18 plots (6 treatments, 3 replicates per treatment) with 100 trees from 20 different native tropical montane or highland tree species planted, with five replicates per species per plot. Treatments include three water levels (low, mid, high) in factorial combinations with two nutrient levels (unfertilized, fertilized + limed). The water levels mimic the natural precipitation regime at the three experimental sites, and the fertilization treatments compensate for differences in fertility across sites. Unfertilized trees were planted on the native soils found at each experimental location. Further information about each experimental site can be found at https://www.rwandatree.com/\nAt each experimental site, we collected leaves from eight species from six treatment plots corresponding to the natural precipitation levels of both experimental sites without nutrient fertilization; and leaf samples from 144 juvenile trees for structural and optical leaf traits were collected, and leaf angles were measured from 48 trees.\nData were obtained through field sampling of individual trees, followed by standardized laboratory and field measurements. Leaf structural traits were measured using morphological and physical methods, leaf optical properties were measured using a miniature leaf spectrometer (CI-710, CID Bio-Science), and leaf angle was measured using a smartphone-based application (protractor and compass tools).\nThe dataset includes detailed metadata describing variables, units, sampling locations, methods, and quality control procedures. Details of sampling locations and protocols, data processing steps, and dataset-specific methodological information are provided in the supporting documentation.","locations":["POLYGON((29.353 -1.937, 29.353 -1.627, 29.586 -1.627, 29.586 -1.937, 29.353 -1.937))"],"metadataDate":"2026-10-13T14:01:30.000Z","orcid":["0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-3854-3265","0000-0002-5359-1102","0000-0003-4893-1915","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","University of Rwanda","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37c4c87a-de90-4b35-96d8-32e077c5dab2","10.5285/37c4c87a-de90-4b35-96d8-32e077c5dab2","doi:10.5285/37c4c87a-de90-4b35-96d8-32e077c5dab2"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/00286hs46","https://ror.org/01tm6cn81","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset compiles leaf-level functional traits collected at a tropical elevational gradient in the Albertine Rift in Rwanda at two experimental sites across two common garden plantations with contrasting mean annual temperatures (15.2°C and 20.0°C). Sampling included…","state":"published","temporalExtentText":"Data collected from 2025 to 2925","title":"Thermoregulation traits of montane tree species in common garden plantations at two elevations in the Albertine Rift in Rwanda, 2025","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}