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Data describe chick progress through an initial training period, during which they open lids of small dishes and consume mealworms, and then during…","state":"published","title":"Chick unlearned behavioural responses to 3D-printed insect replicas, including Hymenoptera and their mimics","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Hewitt"],"authorFullName":["Hewitt, D."],"authorGivenName":["D."],"authorOrcid":["https://orcid.org/0000-0001-8297-0294"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data includes raw shoot biomass and yield, production and gas exchange, nodulation and N-fixation and forage quality data, including relative and consumable food values. The impacts of ozone on the growth and functioning of high-sugar ryegrass pasture mesocosms was assessed in year 2013. Pasture mesocosms, containing perennial ryegrass (Lolium perenne L) and white clover (Trifolium repens L), were grown in the early spring and exposed to ozone in solardomes from late April 2013 to the end of September 2013. Ozone (30, 35, 40, 45, 52, 67 parts per billion (ppb) treatment means) had a large effect on the pasture mesocosms. The work was carried out as part of a NERC funded PhD. Project number NEC04456.","documentType":"GEMINI_DOCUMENT","familyName":["Hewitt","Mills"],"fullName":["Hewitt, D.","Mills, G."],"givenName":["D.","Gina"],"identifier":"e0bcdc39-ab79-413c-bf76-d6ffbc510f15","incomingCitationCount":0,"keyword":["Abergwyngregyn","Environmental risk","Pollution","Solar Domes","Solardomes","ozone","biomass","pasture"],"keywordsOther":["Solar Domes","Solardomes","ozone","biomass","pasture"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"The impacts of ozone on the growth and functioning of high-sugar ryegrass (HSG) pasture mesocosms was assessed in year 2013. Pasture mesocosms, containing perennial ryegrass (Lolium perenne L) and white clover (Trifolium repens L), were grown in the early spring and exposed to ozone in solardomes from late April 2013 to the end of September 2013. Ozone (30, 35, 40, 45, 52, 67 parts per billion (ppb) treatment means) had a large effect on the pasture mesocosms, including causing ozone-injury and reduced shoot biomass growth, reduced gas exchange and net primary productivity of pasture mesocosms, reduced nodulation and nitrogen fixation in clover, and negative impacts on forage quality. Flux-based dose-response relationships were constructed for biomass, N-fixation and forage quality parameters. In general, a good fit (r squared) may be found with below-ground variables, and new dose-response relationships developed may assist in the development of new critical levels for impacts of ozone on pasture vegetation. Effect of ozone on shoot biomass and injury rate may reduce over time as vegetation acclimates to high ozone levels. Data was first recording in the field in field notebooks, and was then transferred to electronic copies (MS Excel worksheets). Data was then exported as .csv files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-06-29T16:51:51.000Z","orcid":["https://orcid.org/0000-0001-8297-0294"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e0bcdc39-ab79-413c-bf76-d6ffbc510f15","10.5285/e0bcdc39-ab79-413c-bf76-d6ffbc510f15","doi:10.5285/e0bcdc39-ab79-413c-bf76-d6ffbc510f15"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data includes raw shoot biomass and yield, production and gas exchange, nodulation and N-fixation and forage quality data, including relative and consumable food values. The impacts of ozone on the growth and functioning of high-sugar ryegrass pasture mesocosms was…","state":"published","title":"Ozone effects in high sugar grass pasture","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Nord University","University of Cambridge","SMART Research Institute"],"authorFamilyName":["Eycott","Turner","Luke","Advento"],"authorFullName":["Eycott, A.E.","Turner, E.C.","Luke, S.H.","Advento, A.D."],"authorGivenName":["A.E.","E.C.","S.H.","A.D."],"authorOrcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). \n\nEighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: reduced vegetation cover, normal vegetation management and enhanced vegetation cover.  \n\nThere were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought.\n\nThe project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1.","documentType":"GEMINI_DOCUMENT","familyName":["Turner","Eycott","Luke","Advento"],"fullName":["Turner, E.C.","Eycott, A.E.","Luke, S.H.","Advento, A.D."],"funder":["Natural Environment Research Council"],"givenName":["E. C.","A.E.","E.C.","S.H.","A.D."],"grant":["NE/P00458X/1"],"identifier":"592051e6-016f-49c6-9ef9-799a0f842100","incomingCitationCount":2,"keyword":["Environmental survey","oil palm","Elaeis guineensis"],"keywordsOther":["oil palm","Elaeis guineensis"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Decomposition was measured seven times from 2013 to 2017 (start point of collection period: February 2013, February 2014, July 2016, October 2016, February 2017 and May 2017). Samples were weighed using the same balance each time, at the SMARTRI Libo research station, near Pekanbaru, Indonesia and the samples remain stored there at the time of data submission. Basic data checks were carried out (checks for impossible values, such as sample collection dates occurring before sample deposit dates). We have error-checked 50% of the 2016 to 2017 data entry against the original field sheets, finding an acceptable error rate of <1% and correcting errors when we encountered them. All changes were recorded and that information remains with the dataset.","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"metadataDate":"2026-06-29T17:12:50.000Z","orcid":["https://orcid.org/0000-0002-8609-1091","https://orcid.org/0000-0003-2715-2234","https://orcid.org/0000-0002-8335-5960"],"organisation":["University of Cambridge","Nord University","SMART Research Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-12-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/592051e6-016f-49c6-9ef9-799a0f842100","10.5285/592051e6-016f-49c6-9ef9-799a0f842100","doi:10.5285/592051e6-016f-49c6-9ef9-799a0f842100"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially…","state":"published","supplementalName":["BEFTA website"],"title":"Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"authorFullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"authorGivenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Geography Markup Language (gml)","Shapefile"],"description":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Dataset consists of vector version, with polygons as classified (Northern Ireland only).","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"identifier":"fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","incomingCitationCount":0,"keyword":["Northern Ireland","LCM2007","Land cover"],"keywordsOther":["LCM2007","Land cover"],"keywordsPlace":["Northern Ireland"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-06-29T15:34:49.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300189425068","CEH:EIDC::1300189425068","https://catalogue.ceh.ac.uk/id/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","doi:10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from…","state":"published","title":"Land Cover Map 2007 (vector, N. Ireland)","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Crossley","Harvey","Ferguson","Leaver","Fowler","Cape"],"authorFullName":["Crossley, A.","Harvey, F.J.","Ferguson, S.","Leaver, D.","Fowler, D.","Cape, J.N."],"authorGivenName":["A.","F.J.","S.","D.","J.N."],"authorOrcid":["https://orcid.org/0009-0004-4311-1672","https://orcid.org/0000-0002-2999-2627","https://orcid.org/0000-0002-5538-588X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector and rainwater collector. They were collected to monitor and model cloud/rain water composition and deposition at high elevation as part of ongoing routine measurements.","documentType":"GEMINI_DOCUMENT","familyName":["Crossley","Harvey","Ferguson","Leaver","Fowler","Cape"],"fullName":["Crossley, A.","Harvey, F.J.","Ferguson, S.","Leaver, D.","Fowler, D.","Cape, J.N."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["A.","F.J.","S.","D.","J.N."],"identifier":"2dca8f2f-a21b-4f77-bc8c-326269ab58d1","incomingCitationCount":0,"keyword":["Pollution","Pollutant Concentration","Cloud chemistry","Rain chemistry","Seeder-feeder effect","pollutant deposition","rain","nitrate","ammonium","chloride","sulphate"],"keywordsOther":["Pollutant Concentration","Cloud chemistry","Rain chemistry","Seeder-feeder effect","pollutant deposition","rain","nitrate","ammonium","chloride","sulphate"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"A cloud droplet collector and rainwater collector were used to collect samples which were weighed (g) and measured (ml), before taking a sub-sample of 150 ml for ion analysis. The depth of each sample was calculated as the sample volume divided by the cross-sectional area of the funnel used to collect the samples. Samples were analysed by ion chromatography to obtain the combined cloud and rain concentrations and the rain-only concentrations of eight pollutants, which were then used to calculate the deposition of each pollutant. These depositions were then used to calculate the cloud-only depositions and concentrations of each pollutant. Non-marine sulphate concentrations and depositions were derived from sulphate depositions. All formulae used in the above calculations are detailed extensively in the associated supporting document.\n\nThis dataset was then reviewed and quality checked by S. Ferguson around 20 years after the original data collection to adapt it into a state suitable for reuse. All excel formulae in the original spreadsheet were checked and the units of the variables were derived from the formulae. The data were then cleaned using an R Studio script, separated into three simplified dataframes, and converted to csv. An ion balance was then conducted as a quality control measure with guidance from J Neil Cape. Any occurrences of large ion imbalances, suspected reporting errors or sample bottle overflows were removed from the dataset and all unusual data thought to have been caused by biological contamination or contamination from wind-blown dust have been flagged. Accounting for missing data from lack of sample collection, partially missing data, and removed data, the percentage completeness of each of the datasets is over 70%.","locations":["POLYGON((-3.151 55.707, -3.151 55.72, -3.111 55.72, -3.111 55.707, -3.151 55.707))"],"metadataDate":"2026-06-29T18:26:13.000Z","orcid":["https://orcid.org/0009-0004-4311-1672","https://orcid.org/0000-0002-2999-2627","https://orcid.org/0000-0002-5538-588X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-11-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2dca8f2f-a21b-4f77-bc8c-326269ab58d1","10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1","doi:10.5285/2dca8f2f-a21b-4f77-bc8c-326269ab58d1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides weekly pollutant concentration and deposition data in cloud and rain samples from the, now retired, Bowbeat field site near Edinburgh, UK. The data were captured approximately weekly between 03/09/2003 and 28/06/2006 using a cloud droplet collector…","state":"published","title":"Cloud and rain pollutant concentration and deposition data at Bowbeat, Peebles, 2003-2006","topic":["0/Pollution/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["The James Hutton Institute"],"authorFamilyName":["Watson","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Stutter","Jackson-Blake","McKeen"],"authorFullName":["Watson, H.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"authorGivenName":["Helen","S.","L.","Y.","R.","C.","M.I. ","M."],"authorRor":["https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP), nitrate (NO3-N), ammonium (NH4-N) and suspended sediments (SS); water chemistry measurements are in units of mg l-1 for all determinands. Sampling for water chemistry took place at a weekly frequency between 2000 and the end of 2003, with some daily sampling during rainfall events. Daily samples were then collected between February 2004 and June 2005. After June 2005, infrequent irregular sampling took place, with fewer determinands. Mean daily flow, in m3s-1, was also recorded.\n\nThe Tarland Burn is a tributary of the River Dee (northeast Scotland). The samples were collected at Coull (WGS84 57.111, -2.810; OSGB 351050, 802540). ","documentType":"GEMINI_DOCUMENT","familyName":["Watson","Stutter","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Jackson-Blake","McKeen"],"fullName":["Watson, H.","Stutter, M.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"givenName":["Helen","Marc","S.","L.","Y.","R.","C.","M.I. ","M."],"identifier":"f9a69fcb-321d-4f65-a8cf-cfe789224c8f","incomingCitationCount":0,"keyword":["Coull","Pollution"],"keywordsPlace":["Coull"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","lineage":"Water chemistry data: Sub-daily sampling took place during storms during 2004 and 2005, with 2 to 6 samples per day. Sub-daily data were converted to daily means. Samples were collected via a combination of grab sampling (pre 2004 and post 2005) and auto-sampler. Suspended sediment concentrations were determined gravimetrically on filter papers. Filtrates were analysed for total dissolved phosphorus (TDP), nitrate and ammonium. Unfiltered samples were manually digested by a persulphate autoclave procedure, then analysed as molybdate reactive P to give total P (TP). Particulate P (PP) was calculated as the difference between TP and TDP. Details of sampling protocol, autosampler set-up and analytical methods are given in [1] [2]\n\nDischarge data: Daily mean flow was derived from 15 minute discharge data, with a 'day' classed as 9am - 8:45am, for compatibility with Met Office rainfall data. The 15 minute discharge data was derived from stage information.\n\n[1] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial and temporal dynamics of stream water and particulate N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology 350 (3-4), 187-202. https://doi.org/10.1016/j.jhydrol.2007.10.048\n[2] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial contributions of diffuse inputs and within-channel processes to the form of streamwater phosphorus over storm events. Journal of Hydrology 350 (3-4), 203-214. https://doi.org/10.1016/j.jhydrol.2007.10.045","locations":["POLYGON((-2.8120000000000003 57.11, -2.8120000000000003 57.112, -2.808 57.112, -2.808 57.11, -2.8120000000000003 57.11))"],"metadataDate":"2026-06-27T15:25:36.000Z","organisation":["The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9a69fcb-321d-4f65-a8cf-cfe789224c8f","10.5285/f9a69fcb-321d-4f65-a8cf-cfe789224c8f","doi:10.5285/f9a69fcb-321d-4f65-a8cf-cfe789224c8f"],"resourceType":"Dataset","ror":["https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP),…","state":"published","supplementalDescription":["Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial and temporal dynamics of stream water particulate and dissolved N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology, 350(3-4), 187-202","Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial contributions of diffuse inputs and within-channel processes to the form of stream water phosphorus over storm events. Journal of Hydrology, 350(34), 203-214"],"title":"Discharge and water chemistry measurements from Tarland Burn at Coull (Scotland) (2000-2010) ","topic":["0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of York"],"authorFamilyName":["Hayes","Mills","Ashmore"],"authorFullName":["Hayes, F.","Mills, G.","Ashmore, M."],"authorGivenName":["F.","G.","M."],"authorOrcid":["https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0001-9870-2868"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset consists of ACi (net CO2 assimilation rate, A, versus calculated substomatal CO2 concentration, Ci) curve data from an ozone experiment during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 (Accumulated Ozone Threshold exposure of 40 parts per billion) of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). ACi curves were carried out mid-way and at the end of the exposure period using a Portable Photosynthesis System, CIRAS (PP-Systems) to calculate the photosynthetic parameters Jmax (maximum rate of photosynthetic electron transport) and Vcmax (maximum rate of Rubisco carboxylase activity). The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates. The experiment was carried out at the CEH Bangor Air Pollution Facility. This work was funded by the Centre for Ecology & Hydrology Integrating Fund Initiative.","documentType":"GEMINI_DOCUMENT","familyName":["Hayes","Mills","Ashmore"],"fullName":["Hayes, F.","Mills, G.","Ashmore, M."],"givenName":["F.","G.","M."],"identifier":"f14b9056-ccc0-4887-812e-c004f613a138","incomingCitationCount":0,"keyword":["Abergwyngregyn","Pollution","Trifolium repens","Lolium perenne"],"keywordsOther":["Trifolium repens","Lolium perenne"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). After 6 weeks there was decreased photosynthetic capacity for T. repens, however, by the end of the exposure there was also decreased photosynthetic capacity of L. perenne, a species previously considered insensitive to ozone. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates. ACi curves were carried out mid-way and at the end of the exposure period using a Portable Photosynthesis System, CIRAS (PP-Systems).","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-06-29T16:55:26.000Z","orcid":["https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0001-9870-2868"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of York","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2014-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1418144571060","CEH:EIDC::1418144571060","https://catalogue.ceh.ac.uk/id/f14b9056-ccc0-4887-812e-c004f613a138","10.5285/f14b9056-ccc0-4887-812e-c004f613a138","doi:10.5285/f14b9056-ccc0-4887-812e-c004f613a138"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of ACi (net CO2 assimilation rate, A, versus calculated substomatal CO2 concentration, Ci) curve data from an ozone experiment during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic…","state":"published","supplementalDescription":["Hayes, Felicity; Mills, Gina; Ashmore, Mike. 2010 How much does the presence of a competitor modify the within-canopy distribution of ozone-induced senescence and visible injury? Water, Air and Soil Pollution, 210. 265-276. ","Hayes,F.; Mills, G.; Ashmore, M.. 2009 Effects of ozone on inter- and intra-species competition and photosynthesis in mesocosms of Lolium perenne and Trifolium repens. Environmental Pollution, 157 (1). 208-214."],"title":"Photosynthesis of Trifolium repens versus Lolium perenne after ozone exposure in solardomes","topic":["0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi","Bailey"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A."],"authorGivenName":["Cecilia A. L.","Yadvinder","Andrew"],"authorOrcid":["https://orcid.org/0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments.","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi","Bailey"],"fullName":["Cecilia Dahlsjö","Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A."],"funder":["Natural Environment Research Council"],"givenName":["Cecilia A. L.","Yadvinder","Andrew"],"grant":["NE/T007648/1"],"identifier":"fc00dbd0-bf3d-495e-9895-190919f8e5e8","incomingCitationCount":0,"keyword":["Environmental survey","deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsOther":["deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Tree censuses were conducted in November 2020, September 2021, and September 2022. A diameter band was used to record the diameter at breast height of all trees (>1cm diameter) in each plot. Growth values were calculated by subtracting the diameter from one year by the diameter from the previous year.  Stems that grew or shrank by 10 cm or more were removed due to suspected sampling error.  Data within size classes and species that were outside 3 standard deviations of the mean were also removed as they were classed as outliers that may have been affected by sampling error. The growth was then converted to biomass growth using allometric equations as outlined in Dahlsjo and Malhi (2024) and then converted to carbon assuming that the stems contained 49% carbon. Due to the high risk of sampling error we have  produced a relatively conservative dataset of carbon accumulation from plots with varying levels of ash dieback. Limitations include a small number (5) of plots per treatment. Data were converted from Excel into csv.","locations":["POLYGON((-1.357 51.755, -1.357 51.788, -1.299 51.788, -1.299 51.755, -1.357 51.755))"],"metadataDate":"2026-06-29T18:06:52.000Z","orcid":["https://orcid.org/0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc00dbd0-bf3d-495e-9895-190919f8e5e8","10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8","doi:10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots…","state":"published","supplementalDescription":["Cecilia A.L. Dahlsjö, Yadvinder Malhi, 2024, Unravelling a hidden synergy: How pathogen-climate interactions transform habitat hydrology and affect tree growth, Science of The Total Environment, Volume 954, 176325, ISSN 0048-9697"],"title":"Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["James Cook University","University of Exeter","University of Sao Paulo","UK Met Office","UK Centre for Ecology & Hydrology","Helmholtz GFZ German Research Centre for Geoscience","University of Gothenburg"],"authorFamilyName":["Cheesman","Brown","Artaxo","Farha","Folberth","Hayes","Heinrich","Hill","Mercado","Oliver","O'Sullivan","Uddling","Cernusak","Sitch"],"authorFullName":["Cheesman, A.W.","Brown, F.","Artaxo, P.","Farha, N.","Folberth, G.A.","Hayes, F.J.","Heinrich, V.H.A.","Hill, T.C.","Mercado, L.M.","Oliver, R.J.","O'Sullivan, M.","Uddling, J.","Cernusak, L.A.","Sitch, S."],"authorGivenName":["A. W.","F.","P.","N.","G. A.","F. J.","V. H. A.","T. C.","L. M.","R. J.","M.","J.","L. A","S."],"authorOrcid":["https://orcid.org/0000-0003-3931-5766","https://orcid.org/0009-0008-8478-520X","https://orcid.org/0000-0001-7754-3036","https://orcid.org/0000-0002-3906-8593","https://orcid.org/0000-0002-1075-440X","https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0003-0501-0032","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-5897-4815","https://orcid.org/0000-0003-4893-1915","https://orcid.org/0000-0002-7575-5526","https://orcid.org/0000-0003-1821-8561"],"authorRor":["https://ror.org/04gsp2c11","https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/01ch2yn61","https://ror.org/00pggkr55","https://ror.org/04z8jg394","https://ror.org/01tm6cn81"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"This dataset includes spatially-explicit input, output and summary data from the use of dynamic global vegetation model, the Joint UK Land Environment Simulator (JULES V5.6). This includes the spatial extent of extant, current-secondary and potential- secondary forests, as well as both preindustrial (1900-1910) and recent (2005-2014) average O3 concentrations resampled at a spatial resolution of 1.25 deg latitude by 1.875 deg longitude. Output data includes the modelled impact of O3 on net-primary productivity (NPP) of tropical forests under current O3 concentrations as well as the cumulative impact on the global carbon cycle. \n\nThis dataset was created to model predicted impacts of ozone (O3) on tropical forests across the globe between 1900 and 2015, and is supported by NERC PROJECT:  NE/R001812/1 Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz).","documentType":"GEMINI_DOCUMENT","familyName":["Cheesman","Brown","Artaxo","Farha","Folberth","Hayes","Heinrich","Hill","Mercado","Oliver","O'Sullivan","Uddling","Cernusak","Sitch"],"fullName":["Cheesman, A.W.","Brown, F.","Artaxo, P.","Farha, N.","Folberth, G.A.","Hayes, F.J.","Heinrich, V.H.A.","Hill, T.C.","Mercado, L.M.","Oliver, R.J.","O'Sullivan, M.","Uddling, J.","Cernusak, L.A.","Sitch, S."],"funder":["Natural Environment Research Council"],"givenName":["A. W.","F.","P.","N.","G. A.","F. J.","V. H. A.","T. C.","L. M.","R. J.","M.","J.","L. A","S."],"grant":["NE/R001812/1","NE/S007504/1"],"identifier":"87412c44-f11a-4182-b182-47d872ad7ebd","incomingCitationCount":0,"keyword":["Climate and climate change","Pollution","O3","ozone","tropical forests","JULES modelling"],"keywordsOther":["O3","ozone","tropical forests","JULES modelling"],"keywordsTheme":["Climate and climate change","Pollution"],"licence":"Open government licence","lineage":"These data were produced using the Joint UK Land earth simulator (JULES v5.6) run on the UK's JASMIN computer facility.\n\nModel simulations were run assuming a homogeneous O3 susceptibility of tropical trees to one of the three levels identified (i.e. low, moderate, high) by associated empirical work. Simulations prescribed dynamic vegetation, allowing Plant functional type (PFT) fractional cover and Leaf Area Index (LAI) to change with varying environmental conditions over the last century. Standard inputs across simulations included variation in [CO2] and land-use land-cover change as used in the Global Carbon Budget 2020, meteorology and forcing data from CRU-JRA v 2.3 with either pre-industrial O3 concentrations or a transient O3 concentration supplied by UKESM1 part of Coupled Model Intercomparison Project Phase 6 (CMIP6). Model simulations were compared to standard models used as part of the CMIP6 with runs including static or transient O3 being compared to determine the impact of change in O3 between 1900 and 2015 on NPP and thereby the terrestrial carbon stocks. ","locations":["POLYGON((-180 -25.6, -180 25.6, 180 25.6, 180 -25.6, -180 -25.6))"],"metadataDate":"2026-06-29T16:58:41.000Z","orcid":["https://orcid.org/0000-0003-3931-5766","https://orcid.org/0009-0008-8478-520X","https://orcid.org/0000-0001-7754-3036","https://orcid.org/0000-0002-3906-8593","https://orcid.org/0000-0002-1075-440X","https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0003-0501-0032","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-5897-4815","https://orcid.org/0000-0003-4893-1915","https://orcid.org/0000-0002-7575-5526","https://orcid.org/0000-0003-1821-8561"],"organisation":["James Cook University","University of Exeter","University of Sao Paulo","UK Met Office","UK Centre for Ecology & Hydrology","Helmholtz GFZ German Research Centre for Geoscience","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87412c44-f11a-4182-b182-47d872ad7ebd","10.5285/87412c44-f11a-4182-b182-47d872ad7ebd","doi:10.5285/87412c44-f11a-4182-b182-47d872ad7ebd"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04gsp2c11","https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/01ch2yn61","https://ror.org/00pggkr55","https://ror.org/04z8jg394","https://ror.org/01tm6cn81","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes spatially-explicit input, output and summary data from the use of dynamic global vegetation model, the Joint UK Land Environment Simulator (JULES V5.6). This includes the spatial extent of extant, current-secondary and potential- secondary forests,…","state":"published","title":"Ozone flux, dynamic global vegetation, and carbon storage modelled data of tropical forests using the Joint UK Land Environment Simulator (JULES), 1900-2015","topic":["0/Climate and climate change/","0/Pollution/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Manchester"],"authorFamilyName":["Wright"],"authorFullName":["Wright, R."],"authorGivenName":["R. "],"authorOrcid":["https://orcid.org/0000-0002-8095-8256"],"authorRor":["https://ror.org/027m9bs27"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes the composition of a co-evolving community (as colony forming units) over a 30-transfer selection experiment in soil microcosms. The community consists of Pseudomonas fluorescens SBW25 + Pseudomonas putida KT2440 + plasmid pQBR57. ","documentType":"GEMINI_DOCUMENT","familyName":["Wright"],"fullName":["Wright, R."],"funder":["Natural Environment Research Council"],"givenName":["R. "],"grant":["NE/R008825/2"],"identifier":"9da9bf05-fdbf-41f9-8591-1a4af9b84000","incomingCitationCount":0,"keyword":["co-evolution","plasmid compensation","SBW25","pQBR57"],"keywordsOther":["co-evolution","plasmid compensation","SBW25","pQBR57"],"licence":"Open government licence","lineage":"This is count data collected by plating bacterial populations on selective agar. File includes counts, dilution factors and volumes used to calculate density as colony forming units per ml (CFU/ml).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:55:47.000Z","orcid":["https://orcid.org/0000-0002-8095-8256"],"organisation":["University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-11-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9da9bf05-fdbf-41f9-8591-1a4af9b84000","10.5285/9da9bf05-fdbf-41f9-8591-1a4af9b84000","doi:10.5285/9da9bf05-fdbf-41f9-8591-1a4af9b84000"],"resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes the composition of a co-evolving community (as colony forming units) over a 30-transfer selection experiment in soil microcosms. The community consists of Pseudomonas fluorescens SBW25 + Pseudomonas putida KT2440 + plasmid pQBR57. ","state":"published","title":"Population dynamics of evolving bacterial populations in soil, 2020","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Boulton","Ritchie"],"authorFullName":["Boulton, C.A.","Ritchie, P.D.L."],"authorGivenName":["C.A.","P.D.L."],"authorOrcid":["https://orcid.org/0000-0001-7836-9391","https://orcid.org/0000-0002-7649-2991"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset contains modelled vegetation carbon output from the land surface model JULES, along with the temperature and rainfall outputs (which were originally inputted) at a monthly, 1.5km resolution. There are four different JULES simulations, using two different climate projections (global climate sensitivity of 3.5K and highest global climate sensitivity of 7.1K) under a constant, present day atmospheric CO2 and a CO2 pathway that follows the SRES (Special Report on Emissions Scenarios) A1B scenario.","documentType":"GEMINI_DOCUMENT","familyName":["Ritchie","Boulton"],"fullName":["Ritchie, P.","Boulton, C.A.","Ritchie, P.D.L."],"givenName":["P.","C.A.","P.D.L."],"identifier":"f493ad5c-585c-475d-a374-2f77b5866bc4","incomingCitationCount":1,"keyword":["Climate and climate change","GB","unmitigated climate change","temperature","rainfall","vegetation carbon","carbon","climate change"],"keywordsOther":["GB","unmitigated climate change","temperature","rainfall","vegetation carbon","carbon","climate change"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology and Hydrology and is available for use after registering on the JULES repository (https://code.metoffice.gov.uk/trac/jules). The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘transient_25km_drive’, available from https://code.metoffice.gov.uk/trac/roses-u (registration required).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:46:51.000Z","orcid":["https://orcid.org/0000-0001-7836-9391","https://orcid.org/0000-0002-7649-2991"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f493ad5c-585c-475d-a374-2f77b5866bc4","10.5285/f493ad5c-585c-475d-a374-2f77b5866bc4","doi:10.5285/f493ad5c-585c-475d-a374-2f77b5866bc4"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains modelled vegetation carbon output from the land surface model JULES, along with the temperature and rainfall outputs (which were originally inputted) at a monthly, 1.5km resolution. There are four different JULES simulations, using two different…","state":"published","title":"Modelled vegetation carbon, temperature and rainfall for Great Britain 1997-2099 under four climate and CO2 scenarios","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg"],"authorFamilyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"authorFullName":["Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T."],"authorGivenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"authorOrcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0002-1009-8123","https://orcid.org/0000-0001-7733-5069","https://orcid.org/0000-0002-3280-1959","https://orcid.org/0000-0002-3466-867X"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom mounted floats). Wave heights and energy were measured using RBRSolo3 D | wave sensors. Water depth in front of embankments were measured using a Garmin Aquamap device. Sediment properties were also gathered at each hydrodynamic sensor deployment. The purpose of the survey was to determine the level of hydrological forcing around the island, to provide guidance on coastal flood and erosion protection planning.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Banerjee","Balke","Chanda","Ghosh"],"fullName":["Cai Ladd","Ladd, C.","Banerjee, S.","Balke, T.","Chanda, A.","Ghosh, T."],"funder":["Natural Environment Research Council"],"givenName":["Cai","Sumana","Thosten","Abhra","Tuhin"],"grant":["NE/S008926/1"],"identifier":"19dd0d35-c109-481f-bd24-2e27da5fdccb","incomingCitationCount":0,"keyword":["Hydrology","Environmental survey","Modelling","Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsOther":["Hydrodynamics","Embankments","Ganges Brahmaputra Meghna Delta","India","Coastal flooding","Coastal erosion"],"keywordsTheme":["Hydrology","Environmental survey","Modelling"],"licence":"Open government licence","lineage":"Data to assess erosion and flood risk along Kumirmari island, Indian GBM delta, was gathered at eastern (22°12′43″N , 088°57′20″E), southern (22°10′40″N , 088°55′55″E), and western (22°12′15″N , 088°54′50″E) sites.\n\nAcceleration\nB4+ Mini Buoys were deployed at the base of embankments and at the bottom of fronting intertidal habitat. Each logger sampled y-axis acceleration at 1 Hz. Unfortunately, some Mini Buoys were lost during deployment.\n\nWave parameters\nAn RBRSolo3 D | wave sensor was deployed at the bottom of fronting intertidal habitat at each site along Kumirmari. Height of the RBRSolo pressure sensor above the bed was 4-5 cm. Velocities were recorded at a rate of 16 Hz in 17-minute bursts continuously. Atmospheric pressure, water density, sensor altitude (height), temperature, conductivity, salinity, and the specific conductivity coefficient were set to 10.1325 dbar, 1.0281 Mg/m³, 0.1 m, 0°C, 42.9140 mS/cm, 35 g/kg, and 0 respectively. 'Wave' default settings were used.\n\nWater depth\nA Garmin Aquamap 100S mounted to a boat measured channel depths at regular intervals along southern and western locations using a Garmin sounder module and transducer. No data was gathered at the eastern location due to poor weather. \n\nSoil parameters\nSoil organic matter content, conductivity (diluted in deionised water at a soil-water ratio of 1:2.5) at 25°C, moisture content, bulk density, and grain size (classified as percentage of sand, silt, and clay) were measured using IS 2720 (part 22), IS 14767, IS 2720 (part 2), IS 2720 (part 8), sieving standards respectively.\n\nCoordinates\nCoordinates were taken using Google Maps on an iPhone 13 Mini. Coordinates are expressed in WGS84 standard.\nMean and standard deviation in acceleration were calculated across 1- and 10-minute moving windows respectively. These were then used to assign inundation status (emersed (N), partially inundated (P), or fully submerged (F)) using a calibrated Quadratic Discriminant Analysis model, and current and wave orbital velocities from calibration curves (Ladd et al. 2024). Soil conductivity was converted to salinity using the 'ec2pss' package in R.\n\nNo processing was done to the wave parameter, water depth, or coordinate data.","locations":["POLYGON((87.88 21.433, 87.88 22.999, 89.099 22.999, 89.099 21.433, 87.88 21.433))"],"metadataDate":"2026-06-29T16:35:44.000Z","orcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0002-1009-8123","https://orcid.org/0000-0001-7733-5069","https://orcid.org/0000-0002-3280-1959","https://orcid.org/0000-0002-3466-867X"],"organisation":["Swansea University","Jadavpur University","Carl von Ossietzky Universität Oldenburg","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/19dd0d35-c109-481f-bd24-2e27da5fdccb","10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb","doi:10.5285/19dd0d35-c109-481f-bd24-2e27da5fdccb"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/02af4h012","https://ror.org/033n9gh91","https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"Hydrodynamics were measured at the base of embankments and foreshores at three locations around Kumirmari island, Indian GBM delta in July-August 2022. Tidal inundation, current velocity, and wave orbital velocity were measured using B4+ Mini Buoys (low-cost bottom…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"title":"Hydrodynamic data from embankment edges of Kumirmari island, Indian Ganges-Brahmaputra-Meghna (GBM) Delta, July-August 2022","topic":["0/Hydrology/","0/Environmental survey/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University"],"authorFamilyName":["Cavers","Wachowiak","Perry"],"authorFullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"authorGivenName":["S.","W. ","A."],"authorOrcid":["https://orcid.org/0000-0003-2139-9236","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0002-7889-7597"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The data comprise summary statistics for performance of a genotyping microarray for a test set of 87 samples for four pine species. The summary statistics comprise state (polymorphic, monomorphic), mean allele frequency and conversion rate, estimated for each locus as a mean across 87 sample genotypes.\n\nThe array comprised 49,829 SNPs (single nucleotide polymorphisms) from several sources. The majority (N = 49,052) were obtained from transcriptome sequencing of four pine species: Pinus sylvestris, Pinus mugo, Pinus uncinata and Pinus uliginosa. The SNP set was filtered by the array manufacturer (Thermo Fisher) based on p-convert values signifying the SNP array quality, and a list of recommended and non-recommended SNP probes (avoiding SNPs with polymorphisms within 35 bp) was provided to the authors. These included SNPs that were common to all species and also SNPs fixed in one species and polymorphic within and among others. \n\n A further set of SNPs (N = 578) were included from candidate genes (N = 279), which had been resequenced in previous population genetic studies of the pine species. Variation in mitochondrial DNA (mtDNA) was targeted by inclusion of a set of mtDNA- specific SNPs (N = 14). \n\nFinally, a set of SNPs putatively associated with susceptibility to Dothistroma needle blight (discovered in Pinus radiata, European Nucleotide Archive accession numbers ERS1034542-53) were also included (N = 185). ","documentType":"GEMINI_DOCUMENT","familyName":["Cavers","Wachowiak","Perry"],"fullName":["Cavers, S.","Wachowiak, W.","Perry, A."],"givenName":["S.","W. ","A.","Stephen"],"identifier":"0ba33e96-67cb-4650-b2bd-6ee13fa7de97","incomingCitationCount":1,"keyword":["Pinus sylvestris","Pinus mugo","Pinus uliginosa","Pinus uncinata","Genomics","Microarray","SNPs","Polymorphism","Divergence","Natural selection","Speciation","conifer"],"keywordsOther":["Pinus sylvestris","Pinus mugo","Pinus uliginosa","Pinus uncinata","Genomics","Microarray","SNPs","Polymorphism","Divergence","Natural selection","Speciation","conifer"],"licence":"Open government licence","lineage":"The dataset is a list of 49,829 SNP loci, identified by individual code with accompanying columns of basic information and statistics (Conversion type (Poly - polymorphic, Mono-monomorphic), mean allelic frequency (MAF), and call rate (CR)).\n\n","locations":["POLYGON((-9.527 35.922, -9.527 60.989, 17.764 60.989, 17.764 35.922, -9.527 35.922))"],"metadataDate":"2026-06-29T16:19:09.000Z","orcid":["https://orcid.org/0000-0003-2139-9236","https://orcid.org/0000-0003-2898-3523","https://orcid.org/0000-0002-7889-7597"],"organisation":["UK Centre for Ecology & Hydrology","Adam Mickiewicz University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ba33e96-67cb-4650-b2bd-6ee13fa7de97","10.5285/0ba33e96-67cb-4650-b2bd-6ee13fa7de97","doi:10.5285/0ba33e96-67cb-4650-b2bd-6ee13fa7de97"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise summary statistics for performance of a genotyping microarray for a test set of 87 samples for four pine species. The summary statistics comprise state (polymorphic, monomorphic), mean allele frequency and conversion rate, estimated for each locus…","state":"published","supplementalDescription":["European Nucleotide Archive accession numbers ERS1034542"],"title":"Conversion rate, frequency and state of single nucleotide polymorphism loci for Scots pine Axiom microarray","version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map view service for the Integrated Hydrological Units (IHU) of the United Kingdom. The IHU define geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection in the UK. The layers in this service represent the following component polygon layers: Hydrometric Areas with Coastline; Hydrometric Areas without Coastline; Groups; Sections; and Catchments. Each layer represents a different level of spatial detail. \n\nThe coarsest level, Hydrometric Areas, is provided in two versions to meet differing user needs. Each Hydrometric Area is made up of one or more Groups. Each Group carries a name constructed from names of the major river flowing through the Group, the major river flowing into the Group, the major river into which the Group flows, and in some cases also from local county names. Each Group is made up of smaller units called Sections. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Similarly to Groups, each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Catchments represent the full area upstream from an outlet of every Section. Polygons within each layer do not have gaps and, with the exception of Catchments, polygons within one layer do not overlap. \n\nThe Hydrometric Areas with Coastline layer covers Great Britain and Northern Ireland, but all other layers currently cover Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","identifier":"cca47088-8cdd-4d7a-86b4-90f0a1766364","incomingCitationCount":0,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:34:19.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-03-02T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cca47088-8cdd-4d7a-86b4-90f0a1766364"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map view service for the Integrated Hydrological Units (IHU) of the United Kingdom. The IHU define geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection in the UK. The layers in this service…","state":"published","title":"Integrated Hydrological Units of the United Kingdom View Service","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Nairobi","International Livestock Research Institute (ILRI) Kenya"],"authorFamilyName":["Bukachi","Mwihaki","Grace","Bett"],"authorFullName":["Bukachi, S.A.","Mwihaki, C.","Grace, D.","Bett, B."],"authorGivenName":["S.A","C.","D.","B."],"authorOrcid":["https://orcid.org/0000-0002-1931-1891","https://orcid.org/0000-0002-0195-9489","https://orcid.org/0000-0001-9376-2941"],"authorRor":["https://ror.org/02y9nww90","https://ror.org/01jxjwb74"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text","Comma-separated values (CSV)"],"description":"The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in northeastern Kenya. The second comprises of scores from proportional piling exercises which showed the distribution of wealth categories and livestock species kept. The study was conducted between August and October, 2013 and the data were collected as open-ended meeting notes and audio clips captured using digital recorders. Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. Thirteen FGDs were held in the irrigated areas in Bura and Hola, Tana River County involving farmers who grew a variety of crops for subsistence and commercial purposes. The others were held in Ijara and Sangailu, Garissa County inhabited by transhumance pastoralists. Each group comprised of 10 to 12 people and the discussions were guided by a check list. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. The aim of the study was to collate perceptions of land use change and their effects on ecosystem services.\n\nThe data were collected by enumerators trained by experienced researchers from the University of Nairobi and the International Livestock Research Institute (Kenya).\n\nThis dataset is part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC project NE-J001570-1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Additional funding was provided by the CGIAR Research Program Agriculture for Nutrition and Health.","documentType":"GEMINI_DOCUMENT","familyName":["Bett","Bukachi","Mwihaki","Grace"],"fullName":["Bett, B.","Bukachi, S.A.","Mwihaki, C.","Grace, D."],"givenName":["B.","S.A","C.","D."],"identifier":"4f569d73-30c5-4b12-bca7-8901fb567594","incomingCitationCount":1,"keyword":["Kenya","Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)","Ecosystem services","pastoralism","wealth categories","livelihoods","ecosystem services","irrigation","infectious disease"],"keywordsOther":["pastoralism","wealth categories","livelihoods","ecosystem services","irrigation","infectious disease"],"keywordsPlace":["Kenya"],"keywordsProject":["Drivers of Disease in Africa Consortium (DDDAC)","Ecosystem Services for Poverty Alleviation (ESPA)"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"Records from the digital recorders were transcribed and cross-checked with the notes made in the course of the meeting for quality control.  Written/thumb print consent was always obtained from each individual in the group. All the discussions were also recorded, with the participant's permission. The transcribed documents were formatted in Microsoft Word (2013) and saved as text files in preparation for analysis. Transcripts were analysed according to the framework developed by Hennink et al. (2011). The data were split into two: (i) responses to open ended questions stored as text files, and (ii) scores from proportional piling exercises which showed the distribution of wealth categories (rich, moderate and poor categories) and livestock species kept (cattle, sheep, goats, camels, chicken and donkeys). These scores were entered into Microsoft Excel and saved as a csv file for use in statistical analysis that employed non-parametric tests. Variables that are common between these two datasets are: date of the field survey (date), study site, village and group (men only, women only or mixed) involved in the discussions. Data was exported from the Excel files as .csv files for ingestion into the EIDC. The Microsoft Word files were exported as .txt files for ingestion into the EIDC.","locations":["POLYGON((38.93 -1.89, 38.93 -0.64, 41.14 -0.64, 41.14 -1.89, 38.93 -1.89))"],"metadataDate":"2026-06-29T16:48:40.000Z","orcid":["https://orcid.org/0000-0001-9376-2941","https://orcid.org/0000-0002-1931-1891","https://orcid.org/0000-0002-0195-9489"],"organisation":["International Livestock Research Institute (ILRI) Kenya","University of Nairobi","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4f569d73-30c5-4b12-bca7-8901fb567594","10.5285/4f569d73-30c5-4b12-bca7-8901fb567594","doi:10.5285/4f569d73-30c5-4b12-bca7-8901fb567594"],"resourceType":"Dataset","ror":["https://ror.org/01jxjwb74","https://ror.org/02y9nww90","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises of two datasets. The first consists of text files of anonymised transcripts from focus group discussions (FGDs) on livelihood activities, ecosystem services and the prevalent human and animal health problems in irrigated and non-irrigated areas in…","state":"published","title":"Qualitative data on land use change and ecosystem services from participatory surveys in northeastern, Kenya (August-October, 2013)","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Plymouth Marine Laboratory","National Oceanography Centre"],"authorFamilyName":["Pickard","Brown","Burden","Callaghan","Evans","Kitidis","Mayor","Olszewska","Pereira","Spears","Williamson","Woodward","Rees"],"authorFullName":["Pickard, A.E.","Brown, I.","Burden, A.","Callaghan, N.","Evans, C.D.","Kitidis, V.","Mayor, D.","Olszewska, J.","Pereira, G.","Spears, B.M.","Williamson, J.","Woodward, M.","Rees, A.P."],"authorGivenName":["A.E.","I.","A. ","N.","C.D. ","V. ","D.","J. ","G. ","B.M. ","J.","M.","A.P."],"authorOrcid":["https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0001-8216-5885"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05av9mn02","https://ror.org/00874hx02"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains dissolved greenhouse and nutrient data collected from seven UK estuaries: the Clyde, Clywd, Conwy, Dart, Forth, Tamar and Tay, for the LOCATE project. Sampling was conducted from July 2017 to April 2018 on a quarterly basis, and was coordinated to occur on falling tides and to target specific salinities of interest: 1, 2, 5, 10, 15, 25 psu. Data were obtained via collection of gas and water samples in situ, and concentrations were derived via subsequent sample processing and analysis.  ","documentType":"GEMINI_DOCUMENT","familyName":["Pickard","Brown","Burden","Callaghan","Evans","Kitidis","Mayor","Olszewska","Pereira","Spears","Williamson","Woodward","Rees"],"fullName":["Pickard, A.E.","Brown, I.","Burden, A.","Callaghan, N.","Evans, C.D.","Kitidis, V.","Mayor, D.","Olszewska, J.","Pereira, G.","Spears, B.M.","Williamson, J.","Woodward, M.","Rees, A.P."],"funder":["Natural Environment Research Council"],"givenName":["A.E.","I.","A. ","N.","C.D. ","V. ","D.","J. ","G. ","B.M. ","J.","M.","A.P."],"grant":["NE/N018087/1"],"identifier":"328cacca-c33b-450a-a39c-302b4eed07a2","incomingCitationCount":0,"keyword":["Climate and climate change","UK","biogeochemistry","estuary","greenhouse gas"],"keywordsOther":["UK","biogeochemistry","estuary","greenhouse gas"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"All data were generated by the authors. During the generation of water chemistry and dissolved greenhouse gas data, calibration standards of known concentrations were used for quality control of instrument outputs.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:33:07.000Z","orcid":["https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-7052-354X","https://orcid.org/0000-0001-8216-5885"],"organisation":["UK Centre for Ecology & Hydrology","Plymouth Marine Laboratory","National Oceanography Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/328cacca-c33b-450a-a39c-302b4eed07a2","10.5285/328cacca-c33b-450a-a39c-302b4eed07a2","doi:10.5285/328cacca-c33b-450a-a39c-302b4eed07a2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","National Oceanography Centre","Plymouth Marine Laboratory"],"ror":["https://ror.org/00pggkr55","https://ror.org/05av9mn02","https://ror.org/00874hx02","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains dissolved greenhouse and nutrient data collected from seven UK estuaries: the Clyde, Clywd, Conwy, Dart, Forth, Tamar and Tay, for the LOCATE project. Sampling was conducted from July 2017 to April 2018 on a quarterly basis, and was coordinated…","state":"published","title":"Greenhouse gas and nutrient data measured across estuaries in the UK, 2017-2018","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Queen Mary University of London","Haverford College"],"authorFamilyName":["Pui","Fumagalli","Mathieson"],"authorFullName":["Pui, C.S.","Fumagalli, M.","Mathieson, S."],"authorGivenName":["C.S.","M.","S."],"authorOrcid":["https://orcid.org/0009-0008-4956-1358","https://orcid.org/0000-0002-4084-2953","https://orcid.org/0000-0002-0484-0838"],"authorRor":["https://ror.org/026zzn846","https://ror.org/04fnrxr62"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Python","Bash scripts","R script"],"description":"A collection of python and bash scripts to implement, train and deploy a generative adversarial network for population genetic inferences.\n\nThe networks have been tuned to be deployed to genomic data from Anopheles mosquitoes. However, the general framework can be applied to other species.\n\nIt requires the input data to be in Variant Call Format (VCF) format and the simulations need to be in msprime format.","documentType":"GEMINI_DOCUMENT","familyName":["Pui","Fumagalli","Mathieson"],"fullName":["Pui, C.S.","Fumagalli, M.","Mathieson, S."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","M.","S."],"grant":["NE/X009637/1"],"identifier":"3ae572f6-4862-47ae-b4a0-4b9c496b5b54","incomingCitationCount":0,"keyword":["generative adversarial network","population genetics","demographic inference"],"keywordsOther":["generative adversarial network","population genetics","demographic inference"],"licence":"Open government licence","lineage":"The methodology can be applied to up to two populations at the same time. The code uses the keras python package and the scripts have been tested via simulations. Inferences were tested using simulations with known output, and the power to infer the ground truth was recovered. Simulations can be performed using msprime or SLiM.","metadataDate":"2026-06-27T15:19:35.000Z","orcid":["https://orcid.org/0009-0008-4956-1358","https://orcid.org/0000-0002-4084-2953","https://orcid.org/0000-0002-0484-0838"],"organisation":["Queen Mary University of London","Haverford College","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-08T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ae572f6-4862-47ae-b4a0-4b9c496b5b54","10.5285/3ae572f6-4862-47ae-b4a0-4b9c496b5b54","doi:10.5285/3ae572f6-4862-47ae-b4a0-4b9c496b5b54"],"resourceType":"Software","rightsHolder":["Queen Mary University of London"],"ror":["https://ror.org/026zzn846","https://ror.org/04fnrxr62","https://ror.org/04xw4m193"],"shortenedDescription":"A collection of python and bash scripts to implement, train and deploy a generative adversarial network for population genetic inferences.\n\nThe networks have been tuned to be deployed to genomic data from Anopheles mosquitoes. However, the general framework can be applied…","state":"published","title":"Python code for building and training a generative adversarial network for demographic inferences from genomic data","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Newcastle University","University of Edinburgh","University of St Andrews"],"authorFamilyName":["Cutler","Dugmore","Streeter"],"authorFullName":["Cutler, N.","Dugmore, A.","Streeter, R."],"authorGivenName":["Nick","Andrew","Richard"],"authorOrcid":["https://orcid.org/0000-0003-1746-7769","https://orcid.org/0000-0001-6556-717X","https://orcid.org/0000-0003-2261-4540"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/01nrxwf90","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises two elements: \n1) logs of nine sedimentary profiles recorded in three locations in southern Iceland and \n2) geochemical analyses of tephra samples taken from these profiles.\n\nThe three locations were Heimaey (V), an island in the Vestmannaeyjar archipelago (four profiles); Seljaland (S) in southern Iceland (two profiles), and Húshólmi (H) on the Reykjanes peninsula (three profiles). All three locations are associated with the earliest phases of the settlement of Iceland by the Norse in the ninth century CE. The datasets were collected to establish a tephrochronological framework for the three sites. The logs are based on field observations made by Prof. Andrew Dugmore (University of Edinburgh) and Dr Richard Streeter (University of St Andrews) in June 2023. The geochemical analyses were carried out by Dr Streeter and conducted using an Electron Probe Micro Analyser (EPMA).","documentType":"GEMINI_DOCUMENT","familyName":["Cutler","Dugmore","Streeter"],"fullName":["Nick Cutler","Cutler, N.","Dugmore, A.","Streeter, R."],"funder":["Natural Environment Research Council"],"givenName":["Nick","Andrew","Richard"],"grant":["NE/X010929/1"],"identifier":"dd570900-245c-4586-82b7-e548cbdc4ac5","incomingCitationCount":0,"keyword":["Soil","Tephra geochemistry","Electron probe micro analyser","Landnám tephra layer"],"keywordsOther":["Tephra geochemistry","Electron probe micro analyser","Landnám tephra layer"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"The sedimentary logs are based on field observations and encompass layer thickness and sediment characteristics (qualitative assessment of colour, texture, grain size, etc.) The geochemical analyses are unstandardised proportional abundances of major elements measured by an Electron Probe Micro Analyser (EPMA).","locations":["POLYGON((-22.893 63.234, -22.893 64.188, -18.892 64.188, -18.892 63.234, -22.893 63.234))"],"metadataDate":"2026-06-29T18:16:20.000Z","orcid":["https://orcid.org/0000-0003-1746-7769","https://orcid.org/0000-0001-6556-717X","https://orcid.org/0000-0003-2261-4540"],"organisation":["Newcastle University","University of Edinburgh","University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd570900-245c-4586-82b7-e548cbdc4ac5","10.5285/dd570900-245c-4586-82b7-e548cbdc4ac5","doi:10.5285/dd570900-245c-4586-82b7-e548cbdc4ac5"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/01nrxwf90","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises two elements: \n1) logs of nine sedimentary profiles recorded in three locations in southern Iceland and \n2) geochemical analyses of tephra samples taken from these profiles.\n\nThe three locations were Heimaey (V), an island in the Vestmannaeyjar…","state":"published","title":"The geochemical composition and stratigraphic position of 44 tephra layers in southern Iceland","topic":["0/Soil/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Griffin","Cole","Xia"],"authorFullName":["Griffin, A.","Cole, S.","Xia, X."],"authorGivenName":["A.","S.","Xilin"],"authorOrcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0003-4294-8687","https://orcid.org/0000-0002-5784-9211"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","NetCDF"],"description":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly from the CPM outputs, and a further 36000 (1000 events per ensemble member per time period) generated using an Empirical Beta Copula approach. This was generated for three periods: December 1980 to November 2000, December 2020 to November 2040 and December 2060-November 2080, to examine changes in widespread rainfall events over time due to climate change.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Cole","Xia"],"fullName":["Adam Griffin","Griffin, A.","Cole, S.","Xia, X."],"funder":["Science and Technology Facilities Council"],"givenName":["A.","S.","Xilin"],"grant":["ST/Y004000/1"],"identifier":"0d786a81-3c33-464e-a8fc-5fea233223bd","incomingCitationCount":0,"keyword":["Climate and climate change","Hydrology","Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsOther":["Widespread rainfall","Extreme Value Statistics","UKCP18"],"keywordsTheme":["Climate and climate change","Hydrology"],"licence":"Open government licence","lineage":"Source data downloaded from Met Office HadUK repository.\nWidespread events extracted from CPM data using Python.\nSummaries calculated which also highlighted any errors in the process (QA)\nEmpirical Copula events simulated using CPM events in Python\nSummaries calculated for EC events highlighting any errors in the process (QA)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:12:19.000Z","orcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0003-4294-8687","https://orcid.org/0000-0002-5784-9211"],"organisation":["UK Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d786a81-3c33-464e-a8fc-5fea233223bd","10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd","doi:10.5285/0d786a81-3c33-464e-a8fc-5fea233223bd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"A set of ~72000 summaries of mainland GB peak daily rainfall data describing widespread rainfall events as modelled using UKCP18 meteorological data (using a convection permitting model) based on RCP8.5 for 12 members of a perturbed parameter ensemble. ~34000 come directly…","state":"published","title":"UK Climate Projections 2018 (UKCP18) Convection-Permitting Model (CPM) and Empirical Copula modelled widespread rainfall events for 1980-2000, 2020-2040 and 2060-2080","topic":["0/Climate and climate change/","0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Mackay","Clarke","Dodd","Feuchtmayr","Fletcher","James","Maberly","Rhodes","Thackeray"],"authorFullName":["Mackay, E.B.","Clarke, M.A.","Dodd, B.A.","Feuchtmayr, H.","Fletcher, J.M.","James, J.B.","Maberly, S.C.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["E.B.","M.A.","B.A.","H.","J.M.","J.B","S.C.","G.","S.J."],"authorOrcid":["https://orcid.org/0000-0001-5697-7062"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017.\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":["Mackay","Clarke","Dodd","Feuchtmayr","Fletcher","James","Maberly","Rhodes","Thackeray"],"fullName":["Mackay, E.B.","Clarke, M.A.","Dodd, B.A.","Feuchtmayr, H.","Fletcher, J.M.","James, J.B.","Maberly, S.C.","Rhodes, G.","Thackeray, S.J.","Mackay, E."],"funder":["Natural Environment Research Council"],"givenName":["E.B.","M.A.","B.A.","H.","J.M.","J.B","S.C.","G.","S.J.","Ellie"],"grant":["NE/R016429/1"],"identifier":"d029bb43-5722-4932-9c14-be316a2e7144","incomingCitationCount":0,"keyword":["Water quality","Lakes","Thermal stratification","Stratification onset","Stratification overturn","Stratification duration","Climate indicator","Long term change","Cumbrian Lakes Monitoring","United Kingdom","UK-SCAPE"],"keywordsOther":["Lakes","Thermal stratification","Stratification onset","Stratification overturn","Stratification duration","Climate indicator","Long term change","Cumbrian Lakes Monitoring","United Kingdom","UK-SCAPE"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The data were calculated from temperature profiles taken in each lake at the deepest point, using a calibrated temperature-oxygen sensor. Water temperatures were converted to density and the lake was considered stratified when the density gradient between the surface and bottom of the lake was >0.1 kg m-3. The start day of the main summer stratified period was considered to be the latest day before day of year 200 where a stratified period had a duration >14 days, the end day was defined as the final day of stratification for that stratified period and the duration calculated as the difference between these two days. More detail on the method used can be found in the supporting documentation.","locations":["POLYGON((-3.097 54.262, -3.097 54.43, -2.903 54.43, -2.903 54.262, -3.097 54.262))"],"metadataDate":"2026-06-29T16:34:07.000Z","orcid":["https://orcid.org/0000-0001-5697-7062"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d029bb43-5722-4932-9c14-be316a2e7144","10.5285/d029bb43-5722-4932-9c14-be316a2e7144","doi:10.5285/d029bb43-5722-4932-9c14-be316a2e7144"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the day of year for the onset and end of thermal stratification and its total length in Blelham Tarn, Esthwaite Water, Windermere, north basin and Windermere, south basin between 1951 and 2017.\n\nThis work was supported by the Natural Environment…","state":"published","title":"Cumbrian Lakes Monitoring thermal stratification timing 1951-2017","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=4"}