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Two of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England, each of these sites consisted of a saltmarsh area and adjacent mudflat area. The sensors were deployed in transects oriented approximately shore-normal and straddling the vegetated-unvegetated margin. \n\nThis 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":["Spencer","Möller","Evans"],"fullName":["Spencer, T.","Möller, I.","Evans, B.R."],"funder":["Natural Environment Research Council"],"givenName":["Tom","I.","B.R."],"grant":["NE/J015644/1"],"identifier":"f4db9cda-c25e-4ce8-b236-31e8bf44fcde","incomingCitationCount":0,"keyword":["Essex","Morecambe Bay","United Kingdom","BESS","CBESS","wave monitoring","attenuation","transformation","pressure sensors","mudflat","vegetated foreshores","salt marsh"],"keywordsOther":["wave monitoring","attenuation","transformation","pressure sensors","mudflat","vegetated foreshores","salt marsh"],"keywordsPlace":["Essex","Morecambe Bay","United Kingdom"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"At each site a transect of Druck PDCR1830 pressure transducers was established to include the transition between vegetated and unvegetated foreshore areas. For each of the Essex sites eight transducers were deployed, while in Morecambe twelve constituted a transect. Transducers were attached to a Campbell CR1000 datalogger programmed to record at 4Hz at the top of the tide. Pressure data were subsequently processed following the method of Möller et al. (1999) to produce the output parameters mean water depth (hPT), spectrally-derived total spectral energy (EPT), spectrally-derived significant wave height (HsPT) and spectrally-derived peak wave period (TpPT). 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A further six wildcard sites made up of ancient woodlands (2 in Scotland and 2 in England) and rewilding sites (2 in England) were visited, and soil samples collected using a 10cm soil corer. Information on site characteristics were collected, including age of the restoration site, former land-use and features of the surrounding landscape. DNA was extracted from the soil and sequenced for metagenomic analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Hibdige","Larionov","Harris","Pawlett"],"fullName":["Samuel Hibdige","Hibdige, S.","Larionov, A.","Harris, J.","Pawlett, M."],"funder":["Natural Environment Research Council"],"givenName":["Sam","Alexey","Jim","Mark"],"grant":["NE/V006444/1"],"identifier":"a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2","incomingCitationCount":0,"keyword":["Soil","Biodiversity","soil chemistry","metagenomics"],"keywordsOther":["soil chemistry","metagenomics"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Non-Open government licence","lineage":"Fieldwork instrumentation used.  Basic field instruments were used to mark plot positions (GPS), set out the plots (20m tape measures), and collect soil samples (soil corer).\nMethods of collection and how data was values were recorded. In each site, five circular plots (radius 10m) were established with their centres randomly decided in advance using ArcGIS. Sampling of our 30 Scottish woodland restorations sites occurred in 2021, for our 30 English woodland restoration sites and our six wildcards, sampling occurred in 2022. Some were subsequently resampled in 2023.  Data processing and lab-based techniques continued into 2024. Soil: Five 10cm soil cores were collected randomly from each plot and stored at 4°C. Soil was sieved to 2mm, samples were split between storage at -20°C for DNA extraction and 4°C. Site characteristics:  Site location was recorded using GPS.  Information on site history (including site age and former land-use) was recorded based on historic maps and information from landowners.  Surrounding land use cover was recorded based on the UCKCEH Landcover Map.\nNature and units of recorded variables and processing steps.  \npH: Soil was air dried and the five samples per site were pooled together. Ultrapure water was added and the samples agitated before values were measured with a pH probe. The pH reading was considered stable when the value did not vary by more than 0.02 units over five seconds. Electrical Conductivity: Soil was air dried and the five samples per site were pooled together. Ultrapure water was added and the samples agitated, centrifuged and filtered. Electrical conductivity was then measured using a probe and recorded in uS. Alpha diversity metrics: DNA was extracted from the soil using laboratory kits and sequenced by a third-party company (Novogene) using a paired-end Illumina platform, (NovaSeq 6000) using well established amplicon regions. The data was processed using QIIME2 to generate feature tables per sample. Taxonomy was assigned to the amplicons using Greengenes 2 (bacteria) and UNITE dynamic (Fungal). Shannon, Faith PD and chao1 were calculated from the QIIME2 feature tables and the assigned taxonomy. Functional metrics (bacteria): PicrusT2 was used to estimate Enzyme Commission numbers (EC), KEGG orthologs (KO) and MEtaCyc pathway predictions were calculated using default parameters using EPA-NG to place sequences into the required reference phylogeny. QIIME2 was then used to calculate Shannon entropy and Chao1 from the pathway abundance feature tables from PicrusT2. Functional metrics (fungi): Funguild was used to estimate guild associations per sample. QIIME2 was then used to calculate Shannon entropy and Chao1 from the guild tables. Former land-use is categorical with 4 levels: Industrial (n=30), Agricultural (n=30), Ancient Woodland (n=4) and Rewilding (n=2).\nQuality control/assessment applied to the data Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually before digital data entry, and any suspected errors were checked with raw field data sheets.  Extracted DNA was quantified on Nanodrop spectrophotometer to measure ng/μl, 260/280, and 260/230 ratios before being sent for sequencing. The sequencing company (Novogene) provided their own quality control before and after sequencing and any that failed were re-extracted and re-sequenced. The received sequenced reads were examined using FAST-QC and MULTI-QC and trimmed accordingly with cut adapt. The reads were then quality filtered and processed using DADA2. Rarefactions plots were generated to examine feature counts to ensure feature tables were of expected quality.\nLimitations on the data's reliability.  Amplicon sequencing is largely only accurate to genus level and taxonomy assignment is limited by database curation. Functional analysis based on amplicon sequencing is less accurate that shotgun sequencing as functionality is inferred.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:14:47.000Z","orcid":["https://orcid.org/0000-0001-9266-4979","https://orcid.org/0000-0001-8060-0345"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2","10.5285/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2","doi:10.5285/a21b8ed1-124b-4b2a-adb4-c3fdcc9f95a2"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises Alpha diversity and functional metrics estimations of soil bacterial and fungal communities and soil chemical properties (pH and electrical conductivity) in samples collected from 60 broadleaved woodland restoration sites from Central Scotland…","state":"published","title":"Soil metagenomics data from woodland restoration sites in Central Scotland, 2021 and English Midlands, 2022","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["AgResearch","Inholland University of Applied Sciences","University of Antananarivo","University of Zurich"],"authorFamilyName":["Ghimire","Zwartendijk","Ravelona","Lahitiana","van Meerveld"],"authorFullName":["Ghimire, C.P.","Zwartendijk, B.W.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"authorGivenName":["C.P.","B.W.","M.","J. ","H.J."],"authorOrcid":["https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-7547-3270"],"authorRor":["https://ror.org/0124gwh94","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e., young secondary forest), and degraded grassland. The plots are located within 2.5 km from each other. See the supporting documentation for detailed information on the plots. Data collection continued for one year (October 2014-September 2015) at each plot and included micrometeorological data (rainfall, temperature, relative humidity, wind speed), soil moisture and overland flow, and for the two forested plots also throughfall, stemflow and sapflow.","documentType":"GEMINI_DOCUMENT","familyName":["Ghimire","Zwartendijk","Ravelona","Lahitiana","van Meerveld"],"fullName":["Ghimire, C.P.","Zwartendijk, B.W.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"funder":["Natural Environment Research Council"],"givenName":["C.P.","B.W.","M.","J. ","H.J."],"grant":["NE/K010417/1"],"identifier":"5d080fef-613a-4f24-a613-b249ccdd12bf","incomingCitationCount":0,"keyword":["Madagascar","Hydrology","Secondary Forest","Degraded Grassland","Runoff Plots","Throughfall","Stemflow","Overland Flow","soil moisture","atmospheric precipitation","runoff","grassland"],"keywordsOther":["Secondary Forest","Degraded Grassland","Runoff Plots","Throughfall","Stemflow","Overland Flow","soil moisture","atmospheric precipitation","runoff","grassland"],"keywordsPlace":["Madagascar"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The meteorological data were collected on a meteorological tower at each plot, except for the forested plot where the tower was located in a nearby clearing. Rainfall was collected automatically using a typing bucket raingauge. For the two forested plots, throughfall was measured daily using 66 funnel gauges and automatically using three troughs, and stemflow was collected daily. Soil moisture was measured automatically at different depths below the surface. Runoff was collected in drums below bounded runoff plots and measured daily. The methods used to collect the hydrological and meteorological data at each plot and the data processing steps are described in more detail in the \"Methods.rtf\" file","locations":["POLYGON((43.191 -25.608, 43.191 -11.945, 50.483 -11.945, 50.483 -25.608, 43.191 -25.608))"],"metadataDate":"2026-06-29T18:30:18.000Z","orcid":["https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-7547-3270"],"organisation":["AgResearch","Inholland University of Applied Sciences","University of Antananarivo","University of Zurich","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d080fef-613a-4f24-a613-b249ccdd12bf","10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf","doi:10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf"],"resourceType":"Dataset","rightsHolder":["University of Zurich"],"ror":["https://ror.org/0124gwh94","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812","https://ror.org/04xw4m193"],"shortenedDescription":"Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e.,…","state":"published","supplementalName":["Ecosystem services for poverty alleviation (ESPA)","P4GES: Can Paying for Global Ecosystem Services reduce poverty?"],"title":"Hydrological and meteorological data for three plots with different vegetation near Andasibe, Madagascar, 2014-2015","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:45.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde","doi:10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided…","state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Clark","Lloyd","Ward","Evans","Brooks","Rowe","McNamara"],"authorFullName":["Morrison, R.","Clark, E.","Lloyd, C.","Ward, H.","Evans, J.","Brooks, M.","Rowe, R.","McNamara, N.P."],"authorGivenName":["R.","E.","C. ","H.","J.","M.","N.P."],"authorOrcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-7554-821X","https://orcid.org/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 short rotation coppice willow plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 13th October 2009 and 15th May 2013. 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","Clark","Lloyd","Ward","Evans","Brooks","Rowe","McNamara"],"fullName":["Morrison, R.","Clark, E.","Lloyd, C.","Ward, H.","Evans, J.","Brooks, M.","Rowe, R.","McNamara, N.P."],"funder":["Natural Environment Research Council"],"givenName":["Ross","R.","E.","C. ","H.","J.","M.","N.P."],"grant":["NE/R016429/1"],"identifier":"9e14539e-b376-4a70-87a0-f8725f84bae9","incomingCitationCount":0,"keyword":["Lincolnshire","Soil","Land use","Salix viminalis"],"keywordsOther":["Salix viminalis"],"keywordsPlace":["Lincolnshire"],"keywordsTheme":["Soil","Land use"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made above the willow 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) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019). \n\nFurther details are available in the supporting documentation.","locations":["POLYGON((-0.35 53.15, -0.35 53.2, -0.4 53.2, -0.4 53.15, -0.35 53.15))"],"metadataDate":"2026-06-30T16:36:19.000Z","orcid":["https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-7554-821X","https://orcid.org/0000-0002-5143-5819"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e14539e-b376-4a70-87a0-f8725f84bae9","10.5285/9e14539e-b376-4a70-87a0-f8725f84bae9","doi:10.5285/9e14539e-b376-4a70-87a0-f8725f84bae9"],"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 short rotation coppice willow plantation in Lincolnshire, UK. Turbulent…","state":"published","supplementalDescription":["REddyProc: Post Processing of (Half-)Hourly Eddy-Covariance Measurements. R package version 1.2. "],"supplementalName":["Thomas Wutzler, Markus Reichstein, Antje Maria Moffat and Mirco Migliavacca (2019)"],"title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a commercial short rotation coppice willow plantation, Lincolnshire, UK, 2009 to 2013","topic":["0/Soil/","0/Land use/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Nature Conservancy Council"],"authorFamilyName":["Rennie","Findlay","Millar"],"authorFullName":["Rennie, S.","Findlay, I.","Millar, A."],"authorGivenName":["S.","I.","A."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Climatic data from four sites (Newton Rigg,  Widdybank Fell, Moor House and Great Dun Fell)  along an altitudinal gradient in Cumbria 1952-1990.  Standard Meteorological Office procedures were used.  ","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Findlay","Millar"],"fullName":["Rennie, S.","Findlay, I.","Millar, A."],"givenName":["S.","I.","A."],"identifier":"ab42fb7d-809f-4492-9ba5-c8aeebdee838","incomingCitationCount":0,"keyword":["Newton Rigg","Widdybank Fell","Moor House","Great Dun Fell","Climate and climate change","Environmental survey"],"keywordsPlace":["Newton Rigg","Widdybank Fell","Moor House","Great Dun Fell"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"These data were stored in a database at the Centre for Ecology & Hydrology [as described in: Cuthbertson, M. (1993) - see supplemental information for reference]. This is a historic dataset so quality assurance procedures for the data are unknown.","locations":["POLYGON((-3.245 54.5, -3.245 54.856, -2.187 54.856, -2.187 54.5, -3.245 54.5))"],"metadataDate":"2026-06-29T17:23:49.000Z","orcid":["https://orcid.org/0000-0002-0027-0436"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Nature Conservancy Council","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-02-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab42fb7d-809f-4492-9ba5-c8aeebdee838","10.5285/ab42fb7d-809f-4492-9ba5-c8aeebdee838","doi:10.5285/ab42fb7d-809f-4492-9ba5-c8aeebdee838"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Climatic data from four sites (Newton Rigg,  Widdybank Fell, Moor House and Great Dun Fell)  along an altitudinal gradient in Cumbria 1952-1990.  Standard Meteorological Office procedures were used.  ","state":"published","supplementalDescription":["Cuthbertson, M., 1993. A database for environmental research programmes. Journal of Environmental Management, 37(4), pp.291-300."],"supplementalName":["Additional contextual information about the resource"],"title":"Climatic data (Meteorological Office recordings) from four sites along an altitudinal gradient in Cumbria 1952 - 1990","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Carnell","Tomlinson","Reis"],"authorFullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"authorGivenName":["E.","S.J.","S."],"authorOrcid":["https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-2428-8320"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","familyName":["Carnell","Tomlinson","Reis"],"fullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["E.","S.J.","S."],"identifier":"7beefde9-c520-4ddf-897a-0167e8918595","incomingCitationCount":2,"keyword":["UK","Mapping","Environmental risk","population","land cover","Gridded"],"keywordsOther":["population","UK","land cover","Gridded"],"keywordsPlace":["UK"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files.\nLand Cover Map 2021 raster data has been obtained from UKCEH.\nOutput Area (/Data Zone) geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\nThe processing steps are detailed in the Supporting Documentation.\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:26:39.000Z","orcid":["https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-2428-8320"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7beefde9-c520-4ddf-897a-0167e8918595","10.5285/7beefde9-c520-4ddf-897a-0167e8918595","doi:10.5285/7beefde9-c520-4ddf-897a-0167e8918595"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical…","state":"published","supplementalDescription":["Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency"],"supplementalName":["Land Cover Map 2021 (25m rasterised land parcels, GB)  ","Land Cover Map 2021 (25m rasterised land parcels, NI)  ","England and Wales Output Areas","Scotland Output Areas","Northern Ireland Data Zones"],"title":"UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","description":"Datasets within this series relate to a mass mortality event of Saiga antelope in Kazakhstan in 2015. Saiga antelope are susceptible to mass mortality events, the most severe of which tend to be caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense groups. The Betpak-dala population is one of three in Kazakhstan, located in the central provinces of the country.\nMost of the datasets were compiled during 2015-2016. Climate data were collated for the period from 1979 to 2016.\n","documentType":"GEMINI_DOCUMENT","identifier":"50f39796-d0cd-4a3d-9179-0444b1e7d7fe","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-02T09:43:07.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/50f39796-d0cd-4a3d-9179-0444b1e7d7fe"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Datasets within this series relate to a mass mortality event of Saiga antelope in Kazakhstan in 2015. Saiga antelope are susceptible to mass mortality events, the most severe of which tend to be caused by haemorrhagic septicaemia following infection by the bacteria…","state":"published","title":"Saiga antelope mortality in Kazakhstan 2015","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Université Grenoble Alpes","University of Exeter","University of East Anglia","Aecom"],"authorFamilyName":["Dini","Bennett","Franco","Whitworth"],"authorFullName":["Dini, B.","Bennett, G.L.","Franco, A.M.A.","Whitworth, M.R.Z."],"authorGivenName":["B.","G.L.","A.M.A.","M.R.Z."],"authorOrcid":["https://orcid.org/0000-0002-1578-7294","https://orcid.org/0000-0002-4812-8180","https://orcid.org/0000-0001-6055-7378","https://orcid.org/0000-0003-1837-3385"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contains location and x,y,z accelerometer readings from trackers embedded into 23 boulders in the upper Bhote Koshi catchment, Nepal before the 2019 monsoon season. The data was transmitted in real time via a long-range wide-area network (LoRaWAN®) gateway to a server. The data presented cover the period May 2019 to October 2019. The data from this study was used to demonstrate how cost-effective technology can be used to monitor boulder movement in hazard-prone sites, and to show the potential for active sensors connected through a long-range wide-area network (LoRaWAN®) to be used in an early warning system in the future. Data was collected by the data authors.\n\nThis was carried out as part the BOULDER: Accounting for BOUlders in Landslide-flood Disaster Evaluation and Resilience project, funded by the Natural Environment Research Council (NERC), Award reference NE/S005951/1","documentType":"GEMINI_DOCUMENT","familyName":["Dini","Bennett","Franco","Whitworth"],"fullName":["Dini, B.","Bennett, G.L.","Franco, A.M.A.","Whitworth, M.R.Z."],"funder":["Natural Environment Research Council"],"givenName":["B.","G.L.","A.M.A.","M.R.Z."],"grant":["NE/S005951/1"],"identifier":"93518ac3-4ded-47fa-b260-38184c09dfc8","incomingCitationCount":0,"keyword":["Nepal","Accelerometer","moving boulders","debris flow channels","long-range (LoRa) devices","landslide"],"keywordsOther":["Accelerometer","moving boulders","debris flow channels","long-range (LoRa) devices","landslide"],"keywordsPlace":["Nepal"],"licence":"Open government licence","lineage":"The data was transmitted from the trackers in real time (unless gateway connectivity was lost) via a long-range wide-area network (LoRaWAN®) gateway to a server. The active devices had been set to send regular GPS and accelerometer acquisitions but also to activate, record and send accelerometer data if movement was sensed. Data was downloaded as a comma separated file which was deposited into the EIDC.","locations":["POLYGON((85.918 27.901, 85.918 27.906, 85.922 27.906, 85.922 27.901, 85.918 27.901))"],"metadataDate":"2026-06-29T17:22:32.000Z","orcid":["https://orcid.org/0000-0002-1578-7294","https://orcid.org/0000-0002-4812-8180","https://orcid.org/0000-0001-6055-7378","https://orcid.org/0000-0003-1837-3385"],"organisation":["Université Grenoble Alpes","University of Exeter","University of East Anglia","Aecom","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/93518ac3-4ded-47fa-b260-38184c09dfc8","10.5285/93518ac3-4ded-47fa-b260-38184c09dfc8","doi:10.5285/93518ac3-4ded-47fa-b260-38184c09dfc8"],"resourceType":"Dataset","rightsHolder":["University of East Anglia"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data contains location and x,y,z accelerometer readings from trackers embedded into 23 boulders in the upper Bhote Koshi catchment, Nepal before the 2019 monsoon season. The data was transmitted in real time via a long-range wide-area network (LoRaWAN®) gateway…","state":"published","supplementalDescription":["A map of the network can be found here: "],"title":"Boulder movement in two debris flow channels and a landslide in the Bhote Koshi catchment, Nepal, May to October 2019","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Scotland's Rural College"],"authorFamilyName":["Dinsmore","Murphey","Leith","Carfrae"],"authorFullName":["Dinsmore, K.J.","Murphey, O.","Leith, F.","Carfrae, J."],"authorGivenName":["K.J.","O.","F.","J."],"authorOrcid":["https://orcid.org/0000-0002-3586-6256","https://orcid.org/0000-0001-5869-6862"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains concentrations of dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Concentrations and fluxes have been measured within the Black Burn on an approximately weekly to fortnightly basis from approximately 2006 to present (see https://doi.org/10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe). Concentrations in this dataset are from a series of new sites, upstream of the long-term sampling record, adjacent to an area of drains blocked by Scottish Natural Heritage. Measurements began during the drain blocking. Data was collected initially as part of a masters project for University of Edinburgh through Scotland's Rural College and continued by the Centre for Ecology & Hydrology.\n","documentType":"GEMINI_DOCUMENT","familyName":["Dinsmore","Murphey","Leith","Carfrae"],"fullName":["Dinsmore, K.J.","Murphey, O.","Leith, F.","Carfrae, J.","Dinsmore, K."],"givenName":["K.J.","O.","F.","J.","Kerry"],"identifier":"88ffbf44-0ec0-41d6-9814-04bc3535cd84","incomingCitationCount":0,"keyword":["Climate and climate change","nitrous oxide","aquatic","peatland","carbon dioxide","dissolved organic carbon","dissolved inorganic carbon","methane"],"keywordsOther":["nitrous oxide","aquatic","peatland","carbon dioxide","dissolved organic carbon","dissolved inorganic carbon","methane"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"The study was set up by Dr Kerry Dinsmore. Water and headspace (for gas analysis) samples were collected primarily by Orla Murphey and Dr Fraser Leith. Analysis was carried out at CEH Edinburgh, again primarily by Orla Murphey and Dr Fraser Leith.  Field equipment was installed by Orla Murphey and Dr Kerry Dinsmore and maintained by Orla Murphey and Dr Fraser Leith.  Further detail is provided in the supporting documentation.","locations":["POLYGON((-3.292 55.765, -3.292 55.79, -3.245 55.79, -3.245 55.765, -3.292 55.765))"],"metadataDate":"2026-06-27T18:57:56.000Z","orcid":["https://orcid.org/0000-0002-3586-6256","https://orcid.org/0000-0001-5869-6862"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","Scotland's Rural College","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Scottish Natural Heritage"],"publicationDate":"2016-12-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/88ffbf44-0ec0-41d6-9814-04bc3535cd84","10.5285/88ffbf44-0ec0-41d6-9814-04bc3535cd84","doi:10.5285/88ffbf44-0ec0-41d6-9814-04bc3535cd84"],"resourceType":"Dataset","rightsHolder":["Scottish Natural Heritage"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82","https://ror.org/04xw4m193","https://ror.org/01t6g8w08"],"shortenedDescription":"This dataset contains concentrations of dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Concentrations and fluxes have been measured within the Black Burn on an approximately…","state":"published","supplementalDescription":["Dinsmore, K. J.; Billett, M.F.; Dyson, K. E. (2013). Five year record of aquatic carbon and greenhouse gas concentrations from Auchencorth Moss. "],"supplementalName":["Related dataset"],"title":"Aquatic carbon and greenhouse gas concentrations in the Auchencorth Moss catchment following drain blocking","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","leav"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","James","Mackay","Pereira","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","James, J.B.","Mackay, E.B.","Pereira, M.G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","M.G.","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/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 Grasmere in Cumbria, England that began in 1968 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. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2014 until the end of March 2018. Unfortunately, due to funding shortages, the long-term monitoring of Grasmere ended in March 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","Clarke","De Ville","Dodd","Fletcher","Guyatt","James","Mackay","Pereira","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","James, J.B.","Mackay, E.B.","Pereira, M.G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","M.G.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"86cce079-9410-4948-978a-1c92ff3d604c","incomingCitationCount":0,"keyword":["UK-SCAPE","Environmental survey","Water quality"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions (marked as Flag 2). Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories .","locations":["POLYGON((-3.035 54.44, -3.035 54.458, -3.003 54.458, -3.003 54.44, -3.035 54.44))"],"metadataDate":"2026-06-30T10:38:04.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/86cce079-9410-4948-978a-1c92ff3d604c","10.5285/86cce079-9410-4948-978a-1c92ff3d604c","doi:10.5285/86cce079-9410-4948-978a-1c92ff3d604c"],"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 Grasmere in Cumbria, England that began in 1968 for some variables. The data have…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Grasmere, 2014 to 2018","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"authorFullName":["Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"authorGivenName":["L.","K.","C.","G."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing methods for urban storm flow characterization. Two sediment types were assessed along with three size fractions across concentration ranges from 0 mg/L to 5000 mg/L. Absorbance was recorded at key wavelengths between 190 – 360 nm and particle size distribution and organic content (loss on ignition) measured for each sediment type and size fraction.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011178/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"fullName":["Kieran Khamis","Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["L.","K.","C.","G.","Kieran"],"grant":["NE/X011178/1"],"identifier":"ee577b07-1a2c-4541-bf30-e2ea048e15e1","incomingCitationCount":0,"keyword":["Water quality","Suspended sediment","Optical sensors"],"keywordsOther":["Suspended sediment","Optical sensors"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements were taken using a commercially available absorbance sensor, Trios Opus (TriOS GmbH, Germany) at 1 minute intervals. Sediments were sieved into size fractions and particle size was quantified using  a Malvern Mastersizer 2000  (Malvern, UK) and organic content was assessed using the Loss on Ignition method.\n\nThe experimental setup consisted of a 5 L beaker filled with 4 L of deionized water, a large stirrer set to a constant rpm, and an opaque surround to minimize interference from ambient light on sensor measurements. The sensor was placed in the centre of the beaker, ~5 cm above the stirrer blade. To verify uniform mixing, subsamples were taken directly beside the optical window of the sensor and at two other locations within the beaker. These subsamples were analysed using a commercial handheld turbidimeter (Sper Scientific Portable Turbidity Meter 860040) at predefined calibration points to confirm consistent turbidity. Turbidity readings were stable and comparable across all sample positions at each calibration point.\n\nEach measurement cycle consisted of 15 calibration points spanning SSC concentrations from 0 to 5000 mg/L. During calibration, sensors recorded data continuously for 20 minutes, and once measurements had stabilized, 10 readings were randomly selected for further analysis.\n\nAll absorbance data were recorded by the TriOS Opus sensor and exported in CSV format, LOI data (weight measurements) were initially recorded on paper, then transferred into an Excel spreadsheet and particle size  data from the Mastersizer were exported as CSV files and imported into statistical software for analysis.  Records were screened for  any missing or null values and data points were checked to ensure they fell within expected ranges (e.g. in case of data entry errors). \n\n\n","locations":["POLYGON((-2.092 52.386, -2.092 52.545, -1.733 52.545, -1.733 52.386, -2.092 52.386))"],"metadataDate":"2026-06-29T18:20:47.000Z","organisation":["University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ee577b07-1a2c-4541-bf30-e2ea048e15e1","10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1","doi:10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing…","state":"published","title":"UV absorbance of suspended sediments measured in a laboratory using a submersible spectrophotometer","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/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 field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (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. Samples were taken using a bulk density ring. Soil moisture content was determined by weighing the samples as fresh field mass and then again after being dried out at 105 degrees Celsius for 72 hours. \n\nThis 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. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["Hilary","H.","A.","M."],"grant":["NE/J015644/1"],"identifier":"125a899b-8f10-4803-a6cf-a2fb1739746f","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Salt marsh","soil moisture content","soil"],"keywordsOther":["Salt marsh","soil moisture content","soil"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Field soil moisture was measured from bulk density samples taken at roughly 0-10 centimetre (cm), 10-20 cm and 20-30 cm depth zones with a 3.1 cm height, 7 cm diameter bulk density ring for each quadrat. Samples were weighed (in grams to two decimal places) at fresh field mass then again after 72 hours at 105 degrees Celsius to determine water content. Data were recorded onto field sheets. These data were transferred into an Excel spreadsheet and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (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":"2026-06-29T16:34:01.000Z","orcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/125a899b-8f10-4803-a6cf-a2fb1739746f","10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f","doi:10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil moisture content from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"altTitle":["ACES Household survey data"],"authorAffiliation":["University of Edinburgh","Universidade Eduardo Mondlane","University of Edinburgh ","Universidade de Lisboa","University of Leeds"],"authorFamilyName":["Vollmer","Fisher","Ryan","Baumert","Woollen","Luz","Cossa","Stedham","Smith"],"authorFullName":["Vollmer, F.","Fisher, J.","Ryan, C.M.","Baumert, S.","Woollen, E.","Luz, A.","Cossa, I.","Stedham, R.","Smith, H."],"authorGivenName":["F.","J.","C.M.","S.","E.","A.","I.","R.","H."],"authorOrcid":["https://orcid.org/0000-0002-7135-5525","https://orcid.org/0000-0002-1802-0128","https://orcid.org/0000-0003-2408-1303","https://orcid.org/0000-0002-6504-4835","https://orcid.org/0000-0003-3466-2929","https://orcid.org/0000-0003-0589-2602"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/05n8n9378","https://ror.org/01c27hj86","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own transport) and wellbeing of respondent households in rural Mozambique. Data are also included from a participatory wealth ranking exercise carried out in each village. \n \nData were collected in a total of 27 villages: 7 villages in Mabalane District in Gaza Province, 10 villages in Gurué District in Zambezia Province and 10 villages in Marrupa District in Niassa Province. Data collection was carried out in 2014 and 2015, using a one-off environmentally-augmented household income and assets survey administered by enumerators in the locally appropriate language.   \n \nThe objective of the ACES project was to explore interactions between woodland change, ecosystem services and wellbeing in rural Mozambican households. The study used a space-for-time substitution approach, with villages in each district chosen to represent different points on gradients of land use intensity with respect to the dominant land use types in each district (charcoal production in Mabalane, commercial agriculture in Gurué and subsistence agriculture in Marrupa). Data were collected primarily by researchers based in the School of Geosciences at the University of Edinburgh and at the University of Eduardo Mondlane in Mozambique. \n \nAll the data collected using the household survey are included in this dataset barring those data which would compromise the anonymity of respondents, such as the names and household coordinates of those interviewed. ","documentType":"GEMINI_DOCUMENT","familyName":["Vollmer","Fisher","Ryan","Baumert","Woollen","Luz","Cossa","Stedham","Smith","Pritchard"],"fullName":["Vollmer, F.","Fisher, J.","Ryan, C.M.","Baumert, S.","Woollen, E.","Luz, A.","Cossa, I.","Stedham, R.","Smith, H.","Pritchard, R."],"funder":["Natural Environment Research Council"],"givenName":["F.","J.","C.M.","S.","E.","A.","I.","R.","H."],"grant":["NE/K010395/1"],"identifier":"6d94d084-6c9d-4f81-8a3f-0b82de827858","incomingCitationCount":0,"keyword":["Abrupt Changes in Ecosystem Services (ACES)","Ecosystem services","socioeconomics","sociological survey"],"keywordsOther":["socioeconomics","sociological survey"],"keywordsProject":["Abrupt Changes in Ecosystem Services (ACES)"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"Data for the ACES project were collected in three districts of Mozambique representing three different social-ecological contexts. Marrupa District in Niassa Province has low levels of infrastructure and livelihoods are characterised by dependence on subsistence rather than commercial agriculture. In contrast, Gurué District in Zambezia Province is one of the main commercial crop producing regions of Mozambique, with crops including soya, pulses and sunflower primarily derived from smallholder producers. Mabalane District in Gaza Province is characterised by high dependence of livelihoods on production of charcoal, primarily for supply to the capital city Maputo. \n\nA total of 27 villages were chosen for inclusion in the survey based upon scoping visits: 7 in Malabane, 10 in Gurué and 10 in Marrupa. The ACES project followed a ‘space-for-time’ substitution approach, with villages selected at different intensities of the dominant land use in each of the three districts (specifically charcoal in Mabalane, soya in Gurué and tobacco in Marrupa). The chosen villages within each district displayed, as far as possible, similar soil and vegetation types, and had a leader who was resident in the village. \n\nThe ACES survey used the definition of a household as people ‘eating from the same pot’ . Different household sampling strategies were used in the three study districts: in Malabane, a census of all households was attempted as villages were relatively small, whereas in Marrupa and Gurué stratified random sampling was employed with the aim of oversampling the rich and very poor households.","locations":["POLYGON((30.21 -26.91, 30.21 -10.33, 45.05 -10.33, 45.05 -26.91, 30.21 -26.91))"],"metadataDate":"2026-06-29T16:04:27.000Z","orcid":["https://orcid.org/0000-0002-7135-5525","https://orcid.org/0000-0002-1802-0128","https://orcid.org/0000-0003-2408-1303","https://orcid.org/0000-0002-6504-4835","https://orcid.org/0000-0003-3466-2929","https://orcid.org/0000-0003-0589-2602"],"organisation":["University of Edinburgh","Universidade Eduardo Mondlane","University of Edinburgh ","Universidade de Lisboa","University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","University of Sheffield"],"publicationDate":"2019-03-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d94d084-6c9d-4f81-8a3f-0b82de827858","10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858","doi:10.5285/6d94d084-6c9d-4f81-8a3f-0b82de827858"],"resourceType":"Dataset","ror":["https://ror.org/01nrxwf90","https://ror.org/05n8n9378","https://ror.org/01c27hj86","https://ror.org/024mrxd33","https://ror.org/04xw4m193","https://ror.org/05krs5044"],"shortenedDescription":"This dataset includes data collected as part of the Abrupt Changes in Ecosystem Services (ACES) project on the composition, income (including consumption and sale of environmental resources), ownership of assets (e.g. farming equipment, household furnishings and own…","state":"published","title":"Household composition, income and assets survey data (including environmental product collection) from Mabalane, Gurue and Marrupa districts, Mozambique in 2014 and 2015","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","dgwr","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey","University of Edinburgh","British Antarctic Survey","National Oceanography Centre"],"authorFamilyName":["Grant","Arrowsmith","Barry","Bowes","Callaghan","Eades","Fournier","Hendry","Mawji","O'Brien","Olszewska","Pickard","Tandy","Spears"],"authorFullName":["Grant, A.L.","Arrowsmith, C.","Barry, C.","Bowes, M.J.","Callaghan, N.","Eades, L.J.","Fournier, I.","Hendry, K.","Mawji, E.","O'Brien, A.","Olszewska, J.P.","Pickard, A.E.","Tandy, S.","Spears, B.M."],"authorGivenName":["A.L","C","M.J","N","L.J","I","K","E","A","J.P","A.E","S","B.M"],"authorOrcid":["https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0003-3849-5179","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0002-0065-2338","https://orcid.org/0000-0002-0790-5895","https://orcid.org/0000-0002-9860-1351","https://orcid.org/0000-0002-8742-0010","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0876-0405"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01nrxwf90","https://ror.org/01rhff309","https://ror.org/00874hx02"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains biogeochemical measurements of surface water, sampled across Loch Etive, Scotland, between the 3rd and 7th of October 2022. The dataset encompasses 23 locations including nine open loch stations, four fish-farm adjacent loch sites, six river inflows, and four process experiment river sites, enabling a comparison of water chemistry across marine, freshwater, and anthropogenically influenced environments.\n\nSurface water samples were collected and analysed for an extensive range of biogeochemical parameters. In-field measurements included water temperature, pH, dissolved oxygen, and specific conductivity. Laboratory analyses comprised:\n-  Alkalinity\n- Major nutrients, including nitrate, nitrite, ammonium, soluble reactive phosphorus (SRP), and silica\n- Dissolved and total organic and inorganic carbon and nitrogen (DOC, TIC, TDN)\n- Trace elements and rare earth elements (REEs), including lithium, barium, aluminium, and a full suite of lanthanides\n- Stable isotope composition of oxygen (δ18O), determined via isotope ratio mass spectrometry\n- Chromophoric and fluorescent dissolved organic matter (CDOM/FDOM), with derived indices such as fluorescence index (FI), biological index (BIX), and humification index (HIX)\n\nIn addition to water chemistry, particulate samples were collected and analysed for total suspended solids (TSS), particulate organic matter (POM), particulate inorganic matter (PIM), chlorophyll-a concentration, and particulate organic carbon/nitrogen (POC/PON). Phytoplankton community composition was assessed by flow cytometry, quantifying major groups including diatoms, pico- and nano-chlorophytes, cryptophytes, and cyanobacteria.\n\nThis comprehensive dataset is intended to inform biogeochemical process understanding in polar analogue environments and to validate analytical workflows and inter-institutional protocols.","documentType":"GEMINI_DOCUMENT","familyName":["Grant","Arrowsmith","Barry","Bowes","Callaghan","Eades","Fournier","Hendry","Mawji","O'Brien","Olszewska","Pickard","Tandy","Spears"],"fullName":["Grant, A.","Grant, A.L.","Arrowsmith, C.","Barry, C.","Bowes, M.J.","Callaghan, N.","Eades, L.J.","Fournier, I.","Hendry, K.","Mawji, E.","O'Brien, A.","Olszewska, J.P.","Pickard, A.E.","Tandy, S.","Spears, B.M."],"funder":["Natural Environment Research Council"],"givenName":["A.","A.L","C","M.J","N","L.J","I","K","E","A","J.P","A.E","S","B.M"],"grant":["NE/W004933/1"],"identifier":"50f4344e-a79a-4e1f-a9ee-e7985ed847cd","incomingCitationCount":0,"keyword":["Water quality","biogeochemistry","chlorophyll","fish farming","isotope","Loch Etive","metal","nutrient","river transport","water quality","Scotland"],"keywordsOther":["biogeochemistry","chlorophyll","fish farming","isotope","Loch Etive","metal","nutrient","river transport","water quality","Scotland"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Surface water was collected via grab sampling at 23 sites across loch, river, and fish farm locations. In situ parameters were measured immediately using a HACH HQ4300 multimeter with calibrated pH, conductivity, and dissolved oxygen probes. Vacuum filtration units and portable pumps were used for sample processing. Samples were transported to the lab within 6 hours for processing.\n\nNutrient concentrations were measured using segmented flow analysis; DOC, TIC, and TDN by thermal oxidation and chemiluminescence; metals and REEs by ICP-MS and ICP-OES; δ18O via isotope mass spectrometry. Phytoplankton were quantified using flow cytometry; particulate analyses followed gravimetric and spectrophotometric methods.\n\nUnits include:\nTemperature (°C), pH (unitless), DO (mg/L, % saturation), conductivity (mS/cm)\nNutrients: µmol/L or µg/L (e.g. nitrate, phosphate)\nDOC/TIC/TDN: mg/L\nMetals: µg/L or ppm\nParticulates: mg/L\nPhytoplankton: cells/mL\nCFDOM indices: Raman units or unitless indices (FI, HIX, BIX)\n\nRaw readings were calibrated and corrected; fluorescence data were processed in R; compiled data include site metadata and documented exclusions.\nCalibrations, reference standards, replicates, blanks, and internal controls were used. Analytical QA procedures were followed across all labs. Some data are missing due to instrument errors or lost samples. Not all parameters were measured at all sites.\n","locations":["POLYGON((-5.453 56.362, -5.453 56.618, -4.965 56.618, -4.965 56.362, -5.453 56.362))"],"metadataDate":"2026-06-29T18:03:46.000Z","orcid":["https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0003-3849-5179","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0002-0065-2338","https://orcid.org/0000-0002-0790-5895","https://orcid.org/0000-0002-9860-1351","https://orcid.org/0000-0002-8742-0010","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0876-0405"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","University of Edinburgh","British Antarctic Survey","National Oceanography Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/50f4344e-a79a-4e1f-a9ee-e7985ed847cd","10.5285/50f4344e-a79a-4e1f-a9ee-e7985ed847cd","doi:10.5285/50f4344e-a79a-4e1f-a9ee-e7985ed847cd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01nrxwf90","https://ror.org/01rhff309","https://ror.org/00874hx02","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biogeochemical measurements of surface water, sampled across Loch Etive, Scotland, between the 3rd and 7th of October 2022. The dataset encompasses 23 locations including nine open loch stations, four fish-farm adjacent loch sites, six river inflows,…","state":"published","title":"Biogeochemistry and phytoplankton data from Loch Etive, Scotland, October 2022","topic":["0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Reading","UK Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Ryalls","Staton","Bromfield","Mullinger","Langford","Pfrang","Nemitz","Girling"],"authorFullName":["Ryalls, J.M.W.","Staton, T.","Bromfield, L.M.","Mullinger, N.","Langford, B.","Pfrang, C.","Nemitz, E.","Girling, R.D."],"authorGivenName":["J.M.W.","T.","L.M.","N.","B.","C.","E.","R.D."],"authorOrcid":["https://orcid.org/0000-0003-2015-3605","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0001-8816-8075"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains abundances of invertebrates collected from pitfall traps within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning Farm, UK. Rings were fumigated with diesel exhaust, ozone or both pollutants during two full summer seasons (April-October 2018 and 2019). Pitfall traps contained 500 mL 20% propylene glycol (including detergent to break the surface tension), which was filtered through mesh by two field researchers before collecting invertebrate samples within 50mL centrifuge tubes (one tube per pitfall trap) and placing in a -20 °C freezer prior to classification.","documentType":"GEMINI_DOCUMENT","familyName":["Ryalls","Staton","Bromfield","Mullinger","Langford","Pfrang","Nemitz","Girling"],"fullName":["Ryalls, J.M.W.","Staton, T.","Bromfield, L.M.","Mullinger, N.","Langford, B.","Pfrang, C.","Nemitz, E.","Girling, R.D."],"funder":["Natural Environment Research Council"],"givenName":["J.M.W.","T.","L.M.","N.","B.","C.","E.","R.D."],"grant":["NE/P002404/1"],"identifier":"7262ce48-0cc3-4998-89ee-36d676bd057d","incomingCitationCount":0,"keyword":["Air pollution","diesel exhaust","insect diversity","ground-active invertebrates","pitfall traps","tropospheric ozone","United Kingdom"],"keywordsOther":["Air pollution","diesel exhaust","insect diversity","ground-active invertebrates","pitfall traps","tropospheric ozone","United Kingdom"],"licence":"Open government licence","lineage":"Invertebrates were collected from pitfall traps in field fumigation rings over two summer seasons (2018 and 2019) and taxonomically classified into functional groups and counted in the laboratory.","locations":["POLYGON((-0.907 51.471, -0.907 51.474, -0.902 51.474, -0.902 51.471, -0.907 51.471))"],"metadataDate":"2026-06-29T16:32:36.000Z","orcid":["https://orcid.org/0000-0003-2015-3605","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0001-8816-8075"],"organisation":["University of Reading","UK Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7262ce48-0cc3-4998-89ee-36d676bd057d","10.5285/7262ce48-0cc3-4998-89ee-36d676bd057d","doi:10.5285/7262ce48-0cc3-4998-89ee-36d676bd057d"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains abundances of invertebrates collected from pitfall traps within eight field-based diesel exhaust and ozone fumigation rings located at the University of Reading’s Sonning Farm, UK. Rings were fumigated with diesel exhaust, ozone or both pollutants…","state":"published","title":"Invertebrates identified in pitfall traps within diesel exhaust and ozone fumigation rings, Sonning, UK, 2018-2019","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","UK Centre for Ecology and Hydrology"],"authorFamilyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"authorFullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"authorGivenName":["James","Joan","Richard","Annika","Stephen"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","R"],"description":"These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders. Seeds from 16 natural juniper populations were germinated, and seedlings were raised in a glasshouse at the UKCEH, Edinburgh, then planted in the field in August 2022. The field site is a seminatural research site owned by Forestry and Land Scotland and managed by Forest Research. It occupies a hillside at approximately 350 metres of elevation and with a west-southwest aspect, and grazing is controlled by deer fences and culls. \nThis deposit also includes R scripts that can be used for transformations and analyses of the data, including univariate and multivariate analyses of quantitative data and correlating these measurements with climate variables (downloaded for each source population location from the CHELSA database).\nThese plants were part of a PhD project conducted to evaluate the standing genetic diversity and adaptive capability of natural populations.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"fullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council","Scottish Forestry Trust","Scottish Research","The Botanist Foundation"],"givenName":["James","Joan","Richard","Annika","Stephen","J."],"grant":["NE/V019813/1"],"identifier":"6952cab2-35be-494f-9253-5873e7fa7f74","incomingCitationCount":0,"keyword":["Biodiversity","Evolutionary ecology","Phenology","Common juniper tree","Juniperus communs","Common garden trial","Quantitative genetics"],"keywordsOther":["Common juniper tree","Juniperus communs","Common garden trial","Phenology","Quantitative genetics","Evolutionary ecology"],"keywordsTheme":["Biodiversity","Evolutionary ecology","Phenology"],"licence":"Open government licence","lineage":"These data were recorded in the field by the depositor with the exception of the 2022 bud burst phenology data, which was recorded in the glasshouse prior to transplantation at the field site. The data included in this submission are the raw measurements, and the included R scripts include all processing and analytical steps for quantitative and phenological data. \n\nThe Chlorophyll fluorescence data was pre-processed by hand, using field notes to remove erroneous scans and match scans to the appropriate plants due to the nature of data recording and the need for proprietary software (\"Hansatech\") to access the raw data.","locations":["POLYGON((-3.185 55.591, -3.185 55.639, -3.108 55.639, -3.108 55.591, -3.185 55.591))"],"metadataDate":"2026-06-29T16:50:47.000Z","organisation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","UK Centre for Ecology and Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6952cab2-35be-494f-9253-5873e7fa7f74","10.5285/6952cab2-35be-494f-9253-5873e7fa7f74","doi:10.5285/6952cab2-35be-494f-9253-5873e7fa7f74"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise 12 different measurements, including single traits (e.g. needle length) as well as repeated, yearly phenology measurements over time (autumn 2022 to summer 2025) from a common garden trial of juniper trees planted in Cardrona, the Scottish Borders.…","state":"published","title":"Quantitative genetics of common juniper trees in a common garden trial in Cardrona, Scotland, 2022-2025","topic":["0/Biodiversity/","0/Evolutionary ecology/","0/Phenology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Huddersfield"],"authorFamilyName":["Smyth","Wilson"],"authorFullName":["Smyth, T.A.G.","Wilson, R."],"authorGivenName":["T.A.G.","R."],"authorOrcid":["https://orcid.org/0000-0002-1740-762X","https://orcid.org/0000-0001-9063-8021"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February 2020 made by a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location surveyed using a differential global positioning system (DGPS).\n\nOrthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms. The data was collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery. Data was collected and processed by Dr Ryan Wilson (University of Huddersfield) and interpreted by Dr Thomas Smyth (University of Huddersfield). \n\nThe work was supported by the Natural Environment Research Council NE/T00410X/1. ","documentType":"GEMINI_DOCUMENT","familyName":["Smyth","Wilson"],"fullName":["Smyth, T.","Smyth, T.A.G.","Wilson, R."],"funder":["Natural Environment Research Council"],"givenName":["Thomas","T.A.G.","R."],"grant":["NE/T00410X/1"],"identifier":"ac7071cb-79a3-400d-9f17-13dc4a657083","incomingCitationCount":1,"keyword":["Coastal Dunes","Remote Sensing","Image Classification","aerial photograph","sand dune"],"keywordsOther":["aerial photograph","sand dune"],"keywordsTheme":["Coastal Dunes","Remote Sensing","Image Classification"],"licence":"Open government licence","lineage":"The data was originally collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery.\n\nCollection method: RGB aerial imagery was collected using a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location was surveyed using a Trimble R8 differential global positioning system (DGPS). Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms\nNature and Units of recorded values: Pixel values for Red, Green, and Blue at 0.01 m resolution.\n\nQuality Control: Pix4Dmapper was used to manually identify the surveyed GCPs within the aerial imagery. By comparing the absolute coordinates of the GCPs surveyed with those for the same location within the resulting orthomosaic, a root mean square error of 0.003 m was calculated in the X, Y and Z directions, respectively, indicating a high degree of relative accuracy.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-06-29T15:40:41.000Z","orcid":["https://orcid.org/0000-0002-1740-762X","https://orcid.org/0000-0001-9063-8021"],"organisation":["University of Huddersfield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac7071cb-79a3-400d-9f17-13dc4a657083","10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083","doi:10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083"],"resourceType":"Dataset","rightsHolder":["University of Huddersfield"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February…","state":"published","title":"Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Liverpool","Museo Nacional de Ciencias Naturales, Madrid","University of Cambridge","Institute of Zoology"],"authorFamilyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"authorFullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"authorGivenName":["Andy","D. R.","J. ","C.","A.","T. W. J."],"authorOrcid":["https://orcid.org/0000-0002-7676-917X","https://orcid.org/0000-0002-8984-8897","https://orcid.org/0000-0002-0099-7934","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-0336-9706"],"authorRor":["https://ror.org/04xs57h96","https://ror.org/02v6zg374","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis) and Spiny toads (Bufo spinosus). The infection used was Batrachochytrium dendrobatidis (Bd).\n\nThe experiment was executed in the late summer of 2017, at the Centre for Captive Breeding of Threatened Amphibians, located in Rascafria, Spain. ","documentType":"GEMINI_DOCUMENT","familyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"fullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"funder":["Natural Environment Research Council"],"givenName":["Andy","D. R.","J. ","C.","A.","T. W. J."],"identifier":"093d6938-39f5-414d-b638-7d18e6dc52d3","incomingCitationCount":0,"keyword":["Environmental survey","Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsOther":["Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The experiment quantified Batrachochytrium dendrobatidis (Bd) infection dynamics in experimental host communities that varied in relative abundances of three host species that co-occur in the park: salamanders, Tree frogs (Hyla meridiensis), and Spiny toads (Bufo spinosus). There were five treatments total: \n\n(i) control - 24 salamanders only;\n(ii) 2 species with toads - 12 salamanders and 12 toads;\n(iii) 2 species with frogs - 12 salamanders and 12 frogs;\n(iv) 3 species non-random - 12 salamanders, 6 toads, and 6 frogs; \n(v) 3 species random - relative abundances of salamanders, toads, and frogs chosen at random.","metadataDate":"2026-06-27T18:33:47.000Z","orcid":["https://orcid.org/0000-0002-7676-917X","https://orcid.org/0000-0002-8984-8897","https://orcid.org/0000-0002-0099-7934","https://orcid.org/0000-0003-1895-450X","https://orcid.org/0000-0002-0336-9706"],"organisation":["University of Liverpool","Museo Nacional de Ciencias Naturales, Madrid","University of Cambridge","Institute of Zoology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/093d6938-39f5-414d-b638-7d18e6dc52d3","10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3","doi:10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Liverpool","Institute of Zoology"],"ror":["https://ror.org/04xs57h96","https://ror.org/02v6zg374","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis)…","state":"published","title":"Chytrid fungus infection data in multi-host mesocosm communities","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis - http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). Countryside Survey topsoil 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). A total of 2614 cores from 591 1km x 1km squares across Great Britain were collected and analysed in 2007 (see Emmett et al. 2010 for further details of sampling and methods http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf ). Loss-on-ignition (LOI) 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. 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. The parent material characteristic used was that which minimised AIC in each model (see Supporting Information). 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. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Robinson","Emmett"],"fullName":["Keith, A.M.","Henrys, P.A.","Robinson, D.A.","Emmett, B.A."],"givenName":["A.M.","P.A.","D.A.","B.A."],"identifier":"9e4451f8-23d3-40dc-9302-73e30ad3dd76","incomingCitationCount":6,"keyword":["Countryside Survey","Soil","Broad Habitat","Loss on ignition","Parent Material Model","organic matter","loss on ignition","carbon","habitat","soil"],"keywordsOther":["Broad Habitat","Loss on ignition","Parent Material Model","organic matter","loss on ignition","carbon","habitat","soil"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"metadataDate":"2026-06-30T16:32:02.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2012-03-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1332952419801","CEH:EIDC::1332952419801","https://catalogue.ceh.ac.uk/id/9e4451f8-23d3-40dc-9302-73e30ad3dd76","10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76","doi:10.5285/9e4451f8-23d3-40dc-9302-73e30ad3dd76"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents estimates of mean values within selected habitats and parent material characteristics made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach (see Scott, 2008 for further details of similar statistical analysis…","state":"published","supplementalDescription":["Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010).  Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259).","Scott, W.A. (2008). Countryside Survey: Statistical Report. Technical Report No. 4/07. NERC/Centre for Ecology & Hydrology."],"supplementalName":["Countryside Survey Soils Report from 2007","Countryside Survey Statistical Report"],"title":"Model estimates of topsoil carbon [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=2"}