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M."],"authorGivenName":["M."],"authorOrcid":["0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations of: nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5), ammonia (NH3), nitric acid (HNO3), sulphur dioxide (SO2), ammonium (NH4+), nitrate (NO3-), sulphate (SO42-), PM2.5 organic matter, and ground level ozone (O3).\n\nThe EMEP4UK model framework consists of an atmospheric chemistry transport model (ACTM) which simulates hourly to annual average atmospheric composition and deposition of various pollutants and the weather research and forecast model (WRF). Pollutants simulated include fine particulate matter (PM10, PM2.5), secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulphur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOx), and ground level ozone (O3). Dry and wet deposition of pollutants are also generated by the EMEP4UK. WRF is used to calculate the required meteorological input data for the ACTM.\n\nThe version of EMEP4UK used to model the 2001-2014 dataset available here is based on the EMEP Meteorological Synthesizing Centre West (MSC-W) model version rv4.4.\n\nA  version of this dataset, calculated using the EMEP model version rv4.17 and the WRF model version 3.7.1 is available at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8\n\nNotes:\nOnly the simulations for the years between 2002-2012 include data for from forest fire.\nThe emissions used for simulating the years 2013 and 2014 are the same as the year 2012 (updated date will be made available as soon as 2013 and 2014 national emission inventory data have been processed).\nThe calculated year 2001-2012 use a different version of the WRF model, moreover for the year 2013 and 2014 the WRF model setup was changed as the specific Humidity is no longer nudged with re-analysis in the WRF simulation.\n\nAcknowledgements required (third-party datasets used to drive the model): The WRF model calculated meteorology uses the dataset from NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. (http://www.wrf-model.org/). National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. (http://doi.org/10.5065/D6M043C6). Emissions data from the EMEP emissions center (www.emep.int), and NAEI web site (http://naei.defra.gov.uk).","documentType":"GEMINI_DOCUMENT","familyName":["Vieno"],"fullName":["Vieno, M."],"givenName":["M.","Massimo"],"identifier":"39c6e02f-11ee-44d5-b587-b225f1a99bc8","incomingCitationCount":0,"keyword":["Pollution","Climate and climate change","Modelling","Environmental risk","ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsOther":["ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsTheme":["Pollution","Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"The UK Automatic Urban and Rural monitoring Network (AURN) hourly data are used to verify the EMEP4UK model output:\n\nVieno, M., Dore, A. J., Stevenson, D. S., Doherty, R., Heal, M. R., Reis, S., Hallsworth, S., Tarrason, L., Wind, P., Fowler, D., Simpson, D., and Sutton, M. A.: Modelling surface ozone during the 2003 heat-wave in the UK, Atmospheric Chemistry and Physics, 10, 7963-7978 https://doi.org/10.5194/acp-10-7963-2010, 2010\n\nVieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK pm2.5, Atmos. Chem. Phys., 16, 265-276 https://doi.org/10.5194/acp-16-265-2016, 2016.\n\nThe UK Acid Gases and Aerosols Network (AGANet) monthy data are also used to verify the EMEP4UK model output:\n\nVieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447 https://doi.org/10.5194/acp-14-8435-2014, 2014\n\nThe EMEP4UK model have been evaluated against other models in the Defra organised model inter-comparison:\n\nCarslaw, D. C.: Report: Defra deposition model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=652, access 01/04/2015, 2011.\nCarslaw, D. C.: Report: Defra regional and transboundary model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=653, access 01/04/2015, 2011.\n\nThe EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated in EU: www.emep.int\n\nNo further QA/QC is carried out.","locations":["POLYGON((-11.637 49.007, -11.637 61.37, 4.932 61.37, 4.932 49.007, -11.637 49.007))"],"metadataDate":"2026-07-24T20:39:15.000Z","orcid":["0000-0001-7741-9377"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/39c6e02f-11ee-44d5-b587-b225f1a99bc8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations…","state":"published","supplementalDescription":["The EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated"],"temporalExtentText":"Data collected from 2001 to 2014","title":"The EMEP4UK modelled daily atmospheric composition","topic":["0/Pollution/","0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Manchester","University of Minnesota"],"authorFamilyName":["Connolly","Del Carratore","Schmidt","Bisesi","Martinson","Chua","Kuhs","Boneza","Heinsch","Kinkel","Smanski","Harcombe","Breitling","Takano"],"authorFullName":["Connolly, J.A.","Del Carratore, F.","Schmidt, K.","Bisesi, A.","Martinson, J.N.V.","Chua, J.","Kuhs, M.","Boneza, M.","Heinsch, S.","Kinkel, L.","Smanski, M.","Harcombe, W.R.","Breitling, R.","Takano, E."],"authorGivenName":["J. A.","F.","K.","A.","J. N. 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This includes, mass-to-charge measurements, elution time, and ion count intensity. These data were collected to investigate how the metabolism of the interacting strains changes in response to neighbouring bacterial cultures.\nThis work was funded by NERC (NE/T010959/1) and National Science Foundation (USA, 1935458).\n","documentType":"GEMINI_DOCUMENT","familyName":["Connolly","Del Carratore","Schmidt","Bisesi","Martinson","Chua","Kuhs","Boneza","Heinsch","Kinkel","Smanski","Harcombe","Breitling","Takano"],"fullName":["Connolly, J.A.","Del Carratore, F.","Schmidt, K.","Bisesi, A.","Martinson, J.N.V.","Chua, J.","Kuhs, M.","Boneza, M.","Heinsch, S.","Kinkel, L.","Smanski, M.","Harcombe, W.R.","Breitling, R.","Takano, E."],"funder":["Natural Environment Research Council","National Science Foundation"],"givenName":["J. A.","F.","K.","A.","J. N. V.","J.","M.","S.","L.","W. R.","R.","E."],"grant":["NE/T010959/1","1935458"],"identifier":"475d6c02-45bb-4ac4-a31a-4a23c7c9cb2e","incomingCitationCount":0,"keyword":["Biodiversity","bacteria","microbiology","co-culture","microbiome","streptomyces","mass spectrometry","actinomycetes","metabolomics","untargeted","mzml"],"keywordsOther":["bacteria","microbiology","co-culture","microbiome","streptomyces","mass spectrometry","actinomycetes","metabolomics","untargeted","mzml"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"The 4 Streptomyces strains were previously isolated from Minnesota soil as described in Schlatter, D.C. et al (2013), co-culturing, metabolite extraction and LC-MS experiments were performed in the Manchester Institute of Biotechnology, University of Manchester, UK. Data was collected on a Q-Exactive Mass Spectrometer (ThermoFisher). Outputs were converted to mzML format by the ProteoWizard MS converter. Pooled quality control samples were analysed at every 6th injection to assess for analytical drift over time. The sample injection sequence was randomised.","metadataDate":"2026-07-24T21:17:48.000Z","orcid":["0000-0003-3643-5578","0000-0003-1647-7818","0000-0002-5331-5589","0000-0001-7173-0922","0000-0002-6791-3256"],"organisation":["University of Manchester","University of Minnesota","NERC EDS Environmental Information Data Centre"," University of Manchester"],"publicationDate":"2025-02-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/475d6c02-45bb-4ac4-a31a-4a23c7c9cb2e","10.5285/475d6c02-45bb-4ac4-a31a-4a23c7c9cb2e","doi:10.5285/475d6c02-45bb-4ac4-a31a-4a23c7c9cb2e"],"resourceType":"Non-geographic dataset","rightsHolder":[" University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/017zqws13","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains untargeted metabolomic profiles of paired cultures of 4 interacting Streptomyces bacteria. The bacteria were originally isolated from a nature reserve in Minnesota USA. Daily samples of spot cultures grown in adjacent pairs on solid ISP2 medium…","state":"published","supplementalName":["Schlatter, D.C., DavelosBaines, A.L., Xiao, K. et al. Resource Use of Soilborne Streptomyces Varies with Location, Phylogeny, and Nitrogen Amendment. Microb Ecol 66, 961–971 (2013). "],"title":"Untargeted metabolomic profiles of paired cultures of four strains of Streptomyces bacteria isolated from a nature reserve in Minnesota, USA","topic":["0/Biodiversity/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["University of Cambridge","Durham University"],"authorFamilyName":["Baronas","Tipper","Bickle","Stevenson","Hilton"],"authorFullName":["Baronas, J.J.","Tipper, E.T.","Bickle, M.J.","Stevenson, E.I.","Hilton, R.G."],"authorGivenName":["J.J.","E.T.","M.J.","E.I.","R.G."],"authorOrcid":["0000-0002-4027-3965","0000-0003-3540-3558","0000-0001-8889-3410","0000-0003-3907-443X","0000-0002-0499-3332"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Plain text"],"description":"This dataset contains water flow velocity, discharge, and suspended sediment compositions of the Irrawaddy (Ayeyarwady) River at Pyay, Myanmar\nand the Salween (Thanlwin) River at Hpa-An, Myanmar. The suspended sediment samples and the hydrological data were collected both during peak monsoon\nconditions (August 2017 and August 2018) and peak dry season conditions (February 2018 and May 2019). Water velocity was measured using Acoustic\nDoppler Current Profiler (ADCP) while collecting suspended sediment samples at various depths in the river. \n\nAdditional flow velocity data was collected while laterally crossing the river channel from bank to bank, and was used to calculate total river discharge at these sites. The dataset includes suspended sediment concentrations, particulate organic carbon concentrations, and particle size distributions of sediment samples collected at various depths and locations in the two river channels.","documentType":"GEMINI_DOCUMENT","familyName":["Baronas","Tipper","Bickle","Stevenson","Hilton"],"fullName":["Baronas, J.J.","Tipper, E.T.","Bickle, M.J.","Stevenson, E.I.","Hilton, R.G."],"givenName":["J.J.","E.T.","M.J.","E.I.","R.G."],"identifier":"86f17d61-141f-4500-9aa5-26a82aef0b33","incomingCitationCount":3,"keyword":["Irrawaddy river","Salween river","Myanmar","Discharge","Suspended sediment concentrations","Particle size","Organic carbon","Environmental survey","Water quality","Hydrology","Modelling"],"keywordsPlace":["Irrawaddy river","Salween river","Myanmar","Discharge","Suspended sediment concentrations","Particle size","Organic carbon"],"keywordsTheme":["Environmental survey","Water quality","Hydrology","Modelling"],"licence":"Open government licence","lineage":"Flow velocity was measured using an Acoustic Doppler Current Profiler (ADCP) Rio Grande II 1200 kHz (Teledyne Instruments). deployed on a moving boat. The ADCP was attached on a rigid frame close to the bow, in a down-facing orientation, and the transducer submerged at 40-60 cm depth. Data were collected while the boat crossed the river perpendicular to the flow. Boat position during the transect was recorded using an external GPS unit with horizontal accuracy of <5 m. Between 1 and 5 such transects were collected, depending on the site, with total discharge reproducibility typically better than 6%. Additional flow velocity data were collected during suspended sediment sampling in August 2018 and May 2019 while the boat was drifting with the current.\n\nADCP data were collected and initially processed using WinRiver II software. The data were then exported and further processed using Velocity Mapping Toolbox. Using multiple river cross-sectional transects, a mean cross-section was created for each sampling date, ensuring it was perpendicular to the river channel, and calculating the average stream-wise flow velocity field across the river channel. The data were then additionally processed in MATLAB 2019b, filling data gaps, removing erroneous outlier data, and calculating total discharge. Both the raw flow velocity (WinRiver-exported) data and the processed flow velocity and discharge data are included in this dataset.\n\nDepth profiles of suspended sediments were collected in August 2017, August 2018, and May 2019 at both sites. Only surface sediment samples were collected in February 2018. Sediment samples were collected at various depths using a modified Van Dorn style depth sampler while the boat was drifting with the flow. Samples were transferred into 10 L sterile polyethylene bags, ensuring complete transfer of all sediment particles. The bags were weighed and the samples filtered within 24h using 0.2μm polyethersulfone (PES) membrane and freeze-dried back in the lab. Particle size distributions of dried samples were measured using laser diffractometry. The organic carbon concentration (as weight %) was measured using coupled elemental analysis - isotope ratio mass spectrometry (EA-IRMS) after carbonate removal using liquid HCl.\n\nAll methods are described in detail in the supporting documentation.","locations":["POLYGON((95.187 16.943, 95.187 18.875, 97.647 18.875, 97.647 16.943, 95.187 16.943))"],"metadataDate":"2026-07-25T08:38:57.000Z","orcid":["0000-0002-4027-3965","0000-0003-3540-3558","0000-0001-8889-3410","0000-0003-3907-443X","0000-0002-0499-3332"],"organisation":["University of Cambridge","Durham University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/86f17d61-141f-4500-9aa5-26a82aef0b33","10.5285/86f17d61-141f-4500-9aa5-26a82aef0b33","doi:10.5285/86f17d61-141f-4500-9aa5-26a82aef0b33"],"resourceType":"Dataset","rightsHolder":["University of Cambridge","Durham University"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722","https://ror.org/01v29qb04"],"shortenedDescription":"This dataset contains water flow velocity, discharge, and suspended sediment compositions of the Irrawaddy (Ayeyarwady) River at Pyay, Myanmar\nand the Salween (Thanlwin) River at Hpa-An, Myanmar. The suspended sediment samples and the hydrological data were collected…","state":"published","temporalExtentText":"Data collected from 2017 to 2019","title":"Flow velocity, discharge, and suspended sediment compositions of the Irrawaddy and Salween Rivers, 2017-2019","topic":["0/Environmental survey/","0/Water quality/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Lausanne","Vietnam National University, Hanoi","Can Tho University","Bangladesh University of Engineering and Technology","Jadavpur University","University of Glasgow","Data Guard"],"authorFamilyName":["Cremin","Le","Hua","Murshed","Mashfiqus","Banerjee","Ghosh","Renaud","Baron"],"authorFullName":["Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L."],"authorGivenName":["Emilie","Hue","Hieu Hong","Sonia","Salehin","Sumana","Tuhin","Fabrice","Loïc"],"authorOrcid":["0000-0003-4732-2376","0000-0002-9775-3601","0000-0002-1513-7240","0009-0007-4641-6078","0000-0002-3466-867X","0000-0002-0830-1196","0000-0002-2847-0448"],"authorRor":["https://ror.org/019whta54","https://ror.org/02jmfj006","https://ror.org/0071qz696","https://ror.org/05a1qpv97","https://ror.org/02af4h012","https://ror.org/00vtgdb53"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction, and environmental governance, including teams linked to the United Nations University, University of Glasgow and partner universities. The GDRI is a modular library of 143 indicators selected following consultations with stakeholders during workshops. After reviewing data availability, the current dataset comprises 47 indicators with data comparable across 3 deltas in 3 countries (India, Bangladesh, Vietnam). The GDRI combines several categories of data to measure risk in river deltas (please refer to the readme file for full explanation of the data categories):\n\n1. Hazard data describing environmental threats affecting deltas, including: river flooding, coastal flooding, cyclones and storm surges, erosion, land subsidence, salinity intrusion, sea-level rise, and droughts and extreme rainfall. Additionally, multi-hazard layers are often derived from: remote sensing, climate models, hydrological and flood simulations, and national disaster databases.\n\n2. Exposure data to identify what is exposed to hazards: population density, settlements and infrastructure, agricultural land, ecosystems (mangroves, wetlands, fisheries). \n\n3. Vulnerability indicators, such as: poverty, malnutrition, access to sanitation and healthcare, education. gender inequality, livelihood dependence on natural resources, ecosystem degradation, and institutional capacity.\n\n4. Coping and adaptive capacity data to measure the ability of communities and ecosystems to respond to hazards: governance quality, disaster preparedness, infrastructure access, social protection systems, ecological robustness, and community networks.\n\nThe GDRI was created because river deltas are among the world's most vulnerable regions under climate change and environmental pressure. The dataset explicitly aims to bridge the gap between disaster-risk frameworks and sustainability frameworks. The GDRI enables comparisons of different river deltas globally at sub-delta administrative scales. This dataset present the application been applied for the Mekong Delta, the Red River Delta and Ganges-Brahmaputra-Meghna Delta.. The subnational Global Delta Risk Index 2025 gathered data from 28,608 villages across the Red River delta (Vietnam), the Mekong delta (Vietnam) and the Ganges-Brahmaputra-Meghna delta (India and Bangladesh).","documentType":"GEMINI_DOCUMENT","familyName":["Cremin","Le","Hua","Murshed","Mashfiqus","Banerjee","Ghosh","Renaud","Baron"],"fullName":["Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L.","Emilie Cremin"],"funder":["Natural Environment Research Council"],"givenName":["Emilie","Hue","Hieu Hong","Sonia","Salehin","Sumana","Tuhin","Fabrice","Loïc"],"grant":["NE/S008926/1"],"identifier":"740821f3-92c6-48fa-ade7-526521a5aaba","incomingCitationCount":0,"keyword":["Ganges Brahmaputra Meghna Delta","Mekong River Delta","Red River Delta","Bangladesh","Vietnam","India","Environmental risk","Ecosystem services","Modelling","Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity"],"keywordsOther":["Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity"],"keywordsPlace":["Ganges Brahmaputra Meghna Delta","Mekong River Delta","Red River Delta","Bangladesh","Vietnam","India"],"keywordsTheme":["Environmental risk","Ecosystem services","Modelling"],"licence":"Open government licence","lineage":"To develop the Global Delta Risk Index, several factors are examined for each delta. These include locational factors, social susceptibility, lack of coping and adaptation capacities, ecosystem sensitivity, lack of ecosystem robustness, population exposure (in relation to climate, salinity, flooding, cyclones, storm surges), ecosystem exposure, agriculture exposure, aquaculture exposure, social-ecological vulnerability, social-ecological exposure, and social-ecological risk. Please refer to the metadata for full explanation of the dataset lineage.\n\nThis GDRI approach provides the following aspects:\nScale - Sub-delta administrative units\nType - Composite socio-ecological risk index\nData sources - Remote sensing, census, climate models, stakeholder input\nMethod - Indicator-based multi-hazard assessment\nFocus - Human + ecological vulnerability\nGoal - Decision support for resilience and sustainability\n\nThe GDRI uses a mixed-method and multi-source methodology combining: \nStep 1: Conceptual framework design\nStep 2: Stakeholder consultations and Workshops to identify locally relevant risks and indicators\nStep 3: Literature review\nStep 4: Spatial and statistical integration\nStep 5: Scenario modelling\n\nList of relevant indicators was defined with stakeholders and experts in 7 focus groups: 3 in the Mekong delta, 3 in the GBM-B and 1 in the RRD\n-\tScoring has been performed through online survey with 78 stakeholders and experts from 4 river deltas (including the GBM-I online)\n-\tSecondary data collected online (please refer to the metadata for the full list of secondary data sources).","locations":["POLYGON((87.654 8.485, 87.654 23.565, 107.284 23.565, 107.284 8.485, 87.654 8.485))"],"metadataDate":"2026-08-10T14:11:27.000Z","orcid":["0000-0003-4732-2376","0000-0002-9775-3601","0000-0002-1513-7240","0009-0007-4641-6078","0000-0002-3466-867X","0000-0002-0830-1196","0000-0002-2847-0448"],"organisation":["University of Lausanne","Vietnam National University, Hanoi","Can Tho University","Bangladesh University of Engineering and Technology","Jadavpur University","University of Glasgow","Data Guard","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-07-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/740821f3-92c6-48fa-ade7-526521a5aaba","10.5285/740821f3-92c6-48fa-ade7-526521a5aaba","doi:10.5285/740821f3-92c6-48fa-ade7-526521a5aaba"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/019whta54","https://ror.org/02jmfj006","https://ror.org/0071qz696","https://ror.org/05a1qpv97","https://ror.org/02af4h012","https://ror.org/00vtgdb53","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction,…","state":"published","supplementalDescription":["Cremin, E., O'Connor, J., Banerjee, S. et al. Aligning the Global Delta Risk Index with SDG and SFDRR global frameworks to assess risk to socio-ecological systems in river deltas. Sustain Sci 18, 1871-1891 (2023)."],"title":"The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025","topic":["0/Environmental risk/","0/Ecosystem services/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Stirling","TU Dresden","Technical University of Munich"],"authorFamilyName":["Mercer","Jump","O'Sullivan","van der Maaten-Theunissen","Zang","Morley"],"authorFullName":["Mercer, C.","Jump, A.","O'Sullivan, K.","van der Maaten-Theunissen, M.","Zang, C.","Morley, P."],"authorGivenName":["C.","A.","K.","M.","P."],"authorOrcid":["0000-0001-5811-0980","0000-0002-2167-6451","0000-0001-9062-8886","0000-0002-7503-2520"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/042aqky30","https://ror.org/02kkvpp62"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021. ","documentType":"GEMINI_DOCUMENT","familyName":["Mercer","Jump","O'Sullivan","van der Maaten-Theunissen","Zang","Morley"],"fullName":["Mercer, C.","Jump, A.","O'Sullivan, K.","van der Maaten-Theunissen, M.","Zang, C.","Morley, P."],"funder":["Natural Environment Research Council"],"givenName":["C.","A.","K.","M.","P."],"grant":["NE/V00929X/1"],"identifier":"8d6effc3-54f2-4770-ac34-63320eb9e4e2","incomingCitationCount":0,"keyword":["Germany","dendrochronology","European beech","climate change","drought"],"keywordsOther":["dendrochronology","European beech","climate change","drought"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"Tree cores were sampled using increment borers. At each site three trees were chosen for coring, with two or three cores taken per tree. \n\nCores were sanded and ring widths measured based on high-resolution images of the sanded cores. Cores were cross-dated and summary statistics used to compare cross-dating accuracy. The dataset contains the resulting dated ring width series.","locations":["POLYGON((9.7 50.19, 9.7 50.58, 10.28 50.58, 10.28 50.19, 9.7 50.19))"],"metadataDate":"2026-07-25T08:42:24.000Z","orcid":["0000-0001-5811-0980","0000-0002-2167-6451","0000-0001-9062-8886","0000-0002-7503-2520"],"organisation":["University of Stirling","TU Dresden","Technical University of Munich","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-08-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d6effc3-54f2-4770-ac34-63320eb9e4e2","10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2","doi:10.5285/8d6effc3-54f2-4770-ac34-63320eb9e4e2"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/042aqky30","https://ror.org/02kkvpp62","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes tree ring width data, derived from tree cores, that were sampled from sites across the Rhön Biosphere Reserve (Germany). At each chosen site three trees were cored, with two or three cores taken per cored tree. Data was collected in August 2021.…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"European beech tree ring data, Rhön Biosphere Reserve, Germany, 2021","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Plymouth","University of Salford","University of Twente","University of Manchester"],"authorFamilyName":["Sgarabotto","Majtan","Manzella","Raby","Rogers","Fourtakas"],"authorFullName":["Sgarabotto, A.","Majtan, E.","Manzella, I.","Raby, A.","Rogers, B.D.","Fourtakas, G."],"authorGivenName":["A.","E.","I.","B.D.","G."],"authorOrcid":["0000-0002-4740-784X","0000-0002-5623-3263","0000-0001-7518-819X","0000-0002-8959-0080","0000-0002-3269-7979","0000-0001-8584-3020"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/01tmqtf75","https://ror.org/006hf6230","https://ror.org/027m9bs27"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","xml","Visualisation Toolkit (VTK)"],"description":"This dataset contains outputs from the numerical simulations of a single cylindrical woody debris being released in a flume (0.6  m wide and 6.0 m long) with a flow depth of 0.208 m and travelling downstream. The outputs include: position, orientation, linear velocity and acceleration, and angular velocity and acceleration. The simulations were carried out by using DualSPHysics, an open source SPH-based modelling framework. Four flow conditions and three different initial orientations (0, -5 and +5 deg) were simulated. ","documentType":"GEMINI_DOCUMENT","familyName":["Sgarabotto","Majtan","Manzella","Raby","Rogers","Fourtakas"],"fullName":["Sgarabotto, A.","Majtan, E.","Manzella, I.","Raby, A.","Rogers, B.D.","Fourtakas, G."],"funder":["Natural Environment Research Council"],"givenName":["A.","E.","I.","B.D.","G."],"grant":["NE/V003402/1"],"identifier":"2221837a-98b9-4802-9e10-72b6e9c84136","incomingCitationCount":0,"keyword":["woody debris","SPH","DualSPHysics","flume simulations","woody debris transport"],"keywordsOther":["woody debris","SPH","DualSPHysics","flume simulations","woody debris transport"],"licence":"Open government licence","lineage":"The simulations were carried out using DualSPHysics, an open source SPH-based modelling framework. Four flow conditions with an initial particle diameter equal to 0.008 m were simulated. For each flow condition, three different initial orientations of the woody debris (0, -5 and +5 deg) were tested. The .xml files are the input for the DualSPHysics numerical simulations, they contain all the information needed to set up the simulations and were generated following the guidance provided with DualSPHysics. All the elements needed to define the simulation, namely fluid domain geometry, solid boundaries, and buffer zones for inlet/outlet are described in .vtk files which can be read by Paraview. The motion of the woody debris at each time step is contained in an output CSV file. Further details are provided in the ReadMe.docx.","metadataDate":"2026-07-24T19:23:04.000Z","orcid":["0000-0002-4740-784X","0000-0002-5623-3263","0000-0001-7518-819X","0000-0002-8959-0080","0000-0002-3269-7979","0000-0001-8584-3020"],"organisation":["University of Plymouth","University of Salford","University of Twente","University of Manchester","NERC EDS Environmental Information Data Centre","University of Exeter","University of East Anglia"],"publicationDate":"2024-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2221837a-98b9-4802-9e10-72b6e9c84136","10.5285/2221837a-98b9-4802-9e10-72b6e9c84136","doi:10.5285/2221837a-98b9-4802-9e10-72b6e9c84136"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth","University of Salford","University of Manchester","University of Exeter","University of East Anglia"],"ror":["https://ror.org/008n7pv89","https://ror.org/01tmqtf75","https://ror.org/006hf6230","https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains outputs from the numerical simulations of a single cylindrical woody debris being released in a flume (0.6  m wide and 6.0 m long) with a flow depth of 0.208 m and travelling downstream. The outputs include: position, orientation, linear velocity…","state":"published","title":"Simulated motion of cylindrical woody debris travelling along a straight flume using the DualSPHysics modelling framework","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University College London"],"authorFamilyName":["Purkiss"],"authorFullName":["Purkiss, D."],"authorGivenName":["D."],"authorRor":["https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is from a UK citizen science study called the Big Compost Experiment, and includes 1) Qualitative and numerical survey data from UK citizens about their opinions and behaviours towards biodegradable and compostable plastics, food waste disposal and home composting, and 2) Qualitative and numerical data from home composting experiments carried out on biodegradable and compostable plastic materials.\n\nData includes opinions and behaviours towards biodegradable and compostable plastics, food waste disposal, home composting methods, geographical location, observed disintegration and degradation performance of compostable plastics in home compost. \n\nData were collected between 07/11/2019 - 30/08/2023","documentType":"GEMINI_DOCUMENT","familyName":["Purkiss"],"fullName":["Purkiss, D."],"funder":["Natural Environment Research Council"],"givenName":["D.","Danielle"],"grant":["NE/V010735/1"],"identifier":"1e5da176-6697-46e1-bbad-d275c100e103","incomingCitationCount":0,"keyword":["UK","Big Compost Experiment","Environmental survey","Pollution","citizen science","home composting","biodegradable plastics","compostable plastics","packaging"],"keywordsOther":["citizen science","home composting","biodegradable plastics","compostable plastics","packaging"],"keywordsPlace":["UK"],"keywordsProject":["Big Compost Experiment"],"keywordsTheme":["Environmental survey","Pollution"],"licence":"Open government licence","lineage":"Data was collected from participants via an online survey and an optional home composting experiment account. The survey comprised questions about opinions and behaviours towards biodegradable and compostable plastics, food waste and composting behaviours. The home composting experiment comprised self selecting compostable materials and testing them in participant home composters and sharing results about disintegration and degradation of the material after a participant’s normal composting timeframes via an online account. Data were analysed by the UCL Plastic Waste Innovation Hub research team (Purkiss et al., 2022).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:18:55.000Z","organisation":["University College London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e5da176-6697-46e1-bbad-d275c100e103","10.5285/1e5da176-6697-46e1-bbad-d275c100e103","doi:10.5285/1e5da176-6697-46e1-bbad-d275c100e103"],"resourceType":"Dataset","rightsHolder":["University College London"],"ror":["https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is from a UK citizen science study called the Big Compost Experiment, and includes 1) Qualitative and numerical survey data from UK citizens about their opinions and behaviours towards biodegradable and compostable plastics, food waste disposal and home…","state":"published","supplementalName":["Purkiss, D., Allison, A. L., Lorencatto, F., Michie, S., & Miodownik, M. (2022). The Big Compost Experiment: Using citizen science to assess the impact and effectiveness of biodegradable and compostable plastics in UK home composting. Frontiers in Sustainability, 3. "],"temporalExtentText":"Data collected from 2019 to 2023","title":"Survey of opinions and behaviours regarding home composting, alongside experimental data for disintegration and degradation of compostable materials, UK, 2019-2023","topic":["0/Environmental survey/","0/Pollution/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of St Andrews","University of Leeds"],"authorFamilyName":["Smeaton","Rees-Hughs","Barlow","Austin"],"authorFullName":["Smeaton, C.","Rees-Hughs, L.","Barlow, N.L.M.","Austin, W.E.N."],"authorGivenName":["C.","L.","N.L.M.","W.E.N."],"authorOrcid":["0000-0003-4535-2555","0000-0002-4452-3984","0000-0002-2713-2543","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of physical property and biogeochemical measurements of saltmarsh soil collected using the hammer coring technique from the Kyle of Tongue saltmarsh in the North of Scotland.  The site was chosen to represent northern, loch head marshes and to test different coring techniques in organic rich soils. The data provides a quantitative measure of the dry bulk density, water content, porosity and organic carbon content present within the soils of the Kyle of Tongue saltmarsh. A total of four cores were collected, 39 samples were collected at 10 cm intervals down the length of each core. The samples were processed for bulk density, water content, porosity and organic carbon content which was quantified through elemental analysis. The data were collected to help create a detailed picture of saltmarsh carbon storage in the soils of UK saltmarsh and test different coring approaches. The cores were collected by the data authors in November 2018.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1 ","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Rees-Hughs","Barlow","Austin"],"fullName":["Smeaton, C.","Rees-Hughs, L.","Barlow, N.L.M.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","L.","N.L.M.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"b57ef444-54d4-47f9-8cbf-3cfef1182b55","incomingCitationCount":1,"keyword":["Scotland","Kyle of Tongue","Carbon Storage in Intertidal Environment (C-SIDE)","bulk density","carbon","loss on ignition","LOI","salt marsh","blue carbon","soil texture","organic carbon","soil","sediment","wetland","coastal ecosystem","intertidal zone"],"keywordsOther":["bulk density","carbon","loss on ignition","LOI","salt marsh","blue carbon","soil texture","organic carbon","soil","sediment","wetland","coastal ecosystem","intertidal zone"],"keywordsPlace":["Scotland","Kyle of Tongue"],"keywordsProject":["Carbon Storage in Intertidal Environment (C-SIDE)"],"licence":"Open government licence","lineage":"Soil cores were collected using the hammer coring technique, where a PVC pipe was manually driven into the soil. The location of the cores was recorded using DGPS. Prior to analysis, the cores were split, the soil profile described using the Troel-smith scheme and fixed volumetric (4 cm^3) samples collected at 10 cm intervals down the length of each core.  Dry bulk density, water content, porosity and  organic carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC. ","locations":["POLYGON((-4.492 58.432, -4.492 58.459, -4.453 58.459, -4.453 58.432, -4.492 58.432))"],"metadataDate":"2026-09-15T09:55:19.000Z","orcid":["0000-0003-4535-2555","0000-0002-4452-3984","0000-0002-2713-2543","0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Leeds","University of St. Andrews","NERC Environmental Information Data Centre","The University Court of the University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b57ef444-54d4-47f9-8cbf-3cfef1182b55","10.5285/b57ef444-54d4-47f9-8cbf-3cfef1182b55","doi:10.5285/b57ef444-54d4-47f9-8cbf-3cfef1182b55"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of physical property and biogeochemical measurements of saltmarsh soil collected using the hammer coring technique from the Kyle of Tongue saltmarsh in the North of Scotland.  The site was chosen to represent northern, loch head marshes and to…","state":"published","supplementalName":["C-SIDE website","Smeaton, C., Barlow, N.L. and Austin, W.E., 2020. Coring and compaction: Best practice in blue carbon stock and burial estimations. Geoderma, 364, p.114180"],"temporalExtentText":"Data collected from 2018 to 2018","title":"Sedimentological and organic carbon data from the Kyle of Tongue saltmarsh, Scotland, 2018","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Cowan","Levy","Skiba","Famulari","Anderson"],"authorFullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Famulari, D.","Anderson, M."],"authorGivenName":["N.J.","P.E.","U.M.","D.","M."],"authorOrcid":["0000-0002-8505-1901","0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains terrestrial fluxes of N2O from an intensively managed grazed grassland in Scotland measured using eddy covariance and chamber methods . The effect of a tillage event and two nitrogen fertilizer applications were investigated by comparing N2O fluxes from two adjacent intensively managed grazed grasslands , one of which was tilled. An eddy covariance system mounted at 2.4 m was used to measure fluxes of N2O, H2O and CO2 using a quantum cascade laser (QCL) gas analyser. Flux measurements were made over a six month period starting at the end of March, 2012. Chamber measurements were also made using both static and dynamic chambers. The data was collected as part of the GHG Platform project AC0116 funded by DEFRA.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Levy","Skiba","Famulari","Anderson"],"fullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Famulari, D.","Anderson, M.","Cowan, N."],"givenName":["N.J.","P.E.","U.M.","D.","M.","Nicholas"],"identifier":"7f54018c-3071-4213-8cee-78f8bd57977d","incomingCitationCount":0,"keyword":["Pollution","InveN2Ory"],"keywordsOther":["InveN2Ory"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Eddy covariance raw data from the QCL and sonic anemometer was recorded in tandem using a Labview program. This data was then processed using the Eddypro software version 5.2.1. The data was filtered through a quality control system as described in Cowan, N. J., Levy, P. E., Famulari, D., Anderson, M., Drewer, J., Carozzi, M., Reay, D. S., and Skiba, U. M.: The influence of tillage on N~2~O fluxes from an intensively managed grazed grassland in Scotland, Biogeosciences, 13, 4811-4821, https://doi.org/10.5194/bg-13-4811-2016, 2016.\nRaw concentration data for the chamber methods was processed to calculate fluxes. These fluxes were calculated using the HMR package in the statistical environment R.\nMet data from the Easter Bush site was collected in 2012 by various methods and quality control was carried out by comparison with nearby met stations. \n","locations":["POLYGON((-4.888 55.556, -4.888 56.957, -1.704 56.957, -1.704 55.556, -4.888 55.556))"],"metadataDate":"2026-07-25T06:58:53.000Z","orcid":["0000-0002-8505-1901","0000-0001-8659-6092"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f54018c-3071-4213-8cee-78f8bd57977d","10.5285/7f54018c-3071-4213-8cee-78f8bd57977d","doi:10.5285/7f54018c-3071-4213-8cee-78f8bd57977d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains terrestrial fluxes of N2O from an intensively managed grazed grassland in Scotland measured using eddy covariance and chamber methods . The effect of a tillage event and two nitrogen fertilizer applications were investigated by comparing N2O fluxes…","state":"published","temporalExtentText":"Data collected from 2012 to 2012","title":"Nitrous oxide fluxes from an intensively managed grazed grassland in Scotland","topic":["0/Pollution/"],"version":1.0,"view":["public","leav","rjr"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Scott"],"authorFullName":["Scott, T.W."],"authorGivenName":["T.W."],"authorOrcid":["0000-0002-5941-3905"],"availability":"Available","catalogue":"eidc","dataFormat":["M-file","Comma-separated values (CSV)"],"description":"This code contains scripts for generating data (specifically, these scripts numerically implement our mathematical model).\nThere are three data generating scripts: \"Script_for_generating_parameter_sweep_data.m\", \"Script_for_generating_single_trial_data.m\", \"Script_for_generating_initial_genotype_frequencies.m\". Running the \"Script_for_generating_parameter_sweep_data.m\" script will generate long-term (equilibrium) results for a range of d (parasite virulence) and lag (parasite evolutionary lag) values, and save these results in matrices. Running the \"Script_for_generating_single_trial_data.m\" script will generate over-time (dynamical) results for a specific set of parameter values. Both of these scripts call the \"Script_for_generating_initial_genotype_frequencies.m\" in order to generate the initial genotype frequencies that start off each run.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scott"],"fullName":["Scott, T.W."],"funder":["Natural Environment Research Council"],"givenName":["T.W."],"grant":["NE/V011537/1"],"identifier":"0b78e33c-1f81-4125-9558-c354292bda92","incomingCitationCount":0,"keyword":["Evolutionary theory","Social evolution"],"keywordsOther":["Evolutionary theory","Social evolution"],"licence":"Open government licence","lineage":"This came into existence though the process of writing code for MATLAB, to numerically solve equations in the paper \"Host-parasite coevolution and the stability of genetic kin recognition\".","metadataDate":"2026-07-24T18:59:31.000Z","orcid":["0000-0002-5941-3905"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0b78e33c-1f81-4125-9558-c354292bda92","10.5285/0b78e33c-1f81-4125-9558-c354292bda92","doi:10.5285/0b78e33c-1f81-4125-9558-c354292bda92"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This code contains scripts for generating data (specifically, these scripts numerically implement our mathematical model).\nThere are three data generating scripts: \"Script_for_generating_parameter_sweep_data.m\", \"Script_for_generating_single_trial_data.m\", \"Script_for_generating_initial_genotype_frequencies.m\".…","state":"published","title":"Code for generating long-term equilibrium results for a range of parasite virulence and parasite evolutionary lag values, and dynamical results for specific parameter values","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Powell"],"authorFullName":["Powell, K."],"authorGivenName":["K."],"authorOrcid":["0000-0002-6089-0872"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from sites throughout England, between 2002-2019, from March to May, and September to November.  Samples were collected using three-minute kick-samples, whereby a net is used to catch invertebrates and debris flowing downstream of an area in a river which is disturbed by a recorder for three minutes.  Data before 2002 were excluded as abundance of macroinvertebrates was not recorded widely before this year. \n\nThe data were originally collected for the purpose of understanding water quality by the Environment Agency. The original EA data contains raw counts of mixed-taxonomic groupings of invertebrates and some diatoms and other taxa, from rivers in England with multiple sampling methodologies. Here, the derived data has been processed in such a way to combine counts at a single taxonomic level (family) containing only taxonomic groups of interest for the research, and the data are limited to one sampling method.","documentType":"GEMINI_DOCUMENT","familyName":["Powell"],"fullName":["Powell, K."],"givenName":["K.","Kathryn"],"identifier":"f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","incomingCitationCount":1,"keyword":["Water quality","Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsOther":["Macroinvertebrates ","Freshwater","Ephemeroptera","Plecoptera","Hemiptera","Megaloptera","Odonata","Coleoptera","Trichoptera","Turbellaria","Annelida","Crustacea","Diptera","Mollusca","mayflies","stoneflies","caddis flies","dragonflies","damselflies","worms"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"This data has been processed in the following manner: \n * Data from all EA sampling regions (Anglian, Midlands, Northeast, Northwest, Southern, Southwest and Thames) have been combined into one data file\n * Samples taken outside of the Spring (March-May inclusive) and Autumn (September-November inclusive) were removed\n * Data were restricted to three-minute kick samples only (meaning 'dredge' samples were removed)\n * All data taken before 2002 were removed\n * Only data classified in the following taxa by the EA were retained: Ephemeroptera, Plecoptera, Hemiptera, Megaloptera, Odonata, Coleoptera, Trichoptera, Turbellaria, Annelida, Crustacea, Diptera and Mollusca\n * Total abundance of macroinvertebrates per Sample ID were summed at the family-level within these taxa\n * Eleven samples with anomalous abundance counts for a taxonomic group were removed from the data\n * The number of sampling occurrences was calculated for each site-season-year combination, and only sites where samples had been taken in both spring and autumn at least once for a minimum of three years in the remaining time series (2002-2019) were retained.\n\nThe data have been pooled by family and wider taxonomic groupings.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T18:08:19.000Z","orcid":["0000-0002-6089-0872"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Reading","Environment Agency"],"publicationDate":"2023-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1","doi:10.5285/f6b9b2b3-1ad0-4ac1-a19b-bb340427fbf1"],"resourceType":"Dataset","rightsHolder":["University of Reading","Environment Agency"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data file contains processed data derived from the Environment Agency's Ecology and Fish Explorer Macroinvertebrate database. The recorded data is the abundance of freshwater macroinvertebrates taken by the Environment Agency (EA).\n\nThe data were collected from…","state":"published","supplementalName":["Environment Agency Ecology and Fish Data Explorer"],"temporalExtentText":"Data collected from 2002 to 2019","title":"Freshwater macroinvertebrate family abundances in spring and autumn, England, 2002-2019","topic":["0/Water quality/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Alemany","Dodd","Guyatt","Hill","Hunt","Le Quesne","McShane","Moorhouse","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Alemany, A.","Dodd, B.A.","Guyatt, H.","Hill, I.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["Heidrun","A","B. A.","H","I","A G","K","G","S J"],"authorOrcid":["0000-0002-2028-4843"],"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 Esthwaite Tarn in Cumbria, England, that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in ug per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in ug per litre. Water chemistry values below the detection limit, are indicated by a < sign in the column titled 'sign(if<LOD)'. Please beware that the limits of detection for NH4N, TON, TOTP and SIO2 are reviewed annually and can fluctuate. Water samples are based on a sample integrated from 0 to 5 m. Measurements are made from a boat at a marked location (since 6th September 2023 the sampling location is: Latitude: 54.36182, longitude: -2.985597). When it was not possible to visit the sampling location, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2025 until the end of 2025.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Alemany","Dodd","Guyatt","Hill","Hunt","Le Quesne","McShane","Moorhouse","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Alemany, A.","Dodd, B.A.","Guyatt, H.","Hill, I.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rhodes, G.","Thackeray, S.J.","Heidrun Feuchtmayr"],"funder":["Natural Environment Research Council"],"givenName":["Heidrun","A","B. A.","H","I","A G","K","G","S J"],"grant":["NE/Y006208/1"],"identifier":"88f5ad53-7626-4315-ba56-c8bbf1d2b5ed","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","freshwater monitoring","temperature measurement","dissolved oxygen","water depth measurement","phytoplankton","environmental chemistry","lake basin"],"keywordsOther":["freshwater monitoring","temperature measurement","dissolved oxygen","water depth measurement","phytoplankton","environmental chemistry","lake basin"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.978 54.37, -2.978 54.348, -2.993 54.348))"],"metadataDate":"2026-07-25T08:40:12.000Z","orcid":["0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/88f5ad53-7626-4315-ba56-c8bbf1d2b5ed","10.5285/88f5ad53-7626-4315-ba56-c8bbf1d2b5ed","doi:10.5285/88f5ad53-7626-4315-ba56-c8bbf1d2b5ed"],"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 Esthwaite Tarn in Cumbria, England, that began in 1945 for some variables. The…","state":"published","temporalExtentText":"Data collected from 2025 to 2025","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2025","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Sowerby","Emmett"],"authorFullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"authorGivenName":["S.","A.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes manual measurements in centimetres from the surface of the soil of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile down to bedrock. Measurements were taken, usually every two weeks, using a tape measure and head torch to assist in seeing the water level in the tube. Data was collected by CEH staff and PhD students trained in the use of the methods. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years. Data are available from May 2009 to March 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Sowerby","Emmett"],"fullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"givenName":["S.","A.","B.A.","Sabine"],"identifier":"029c060d-a061-4e27-96ff-c0826351e7e3","incomingCitationCount":0,"keyword":["Climate and climate change","monthly"],"keywordsOther":["monthly"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data was collected manually by measuring with a tape measure the depth of water table, accessible via water permeable pipes installed down to the bedrock within the soil profile (maximum depth 39cm). Data was written on fieldsheets in the field, then manually entered into the raw data master file on return to the office.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-24T18:52:40.000Z","orcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/029c060d-a061-4e27-96ff-c0826351e7e3","10.5285/029c060d-a061-4e27-96ff-c0826351e7e3","doi:10.5285/029c060d-a061-4e27-96ff-c0826351e7e3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes manual measurements in centimetres from the surface of the soil of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile…","state":"published","temporalExtentText":"Data collected from 2009 to 2015","title":"Water table depth data from Climoor fieldsite in Clocaenog Forest 2009 - 2015","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the Land Cover Map 2007 (LCM2007), percentage cover at 1km for aggregate classes. Land Cover Map 2007 (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 hierarchical nomenclature corresponding to 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. This WMS is for Great Britain only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"5d324260-22d9-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap 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((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-08-12T12:00:46.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d324260-22d9-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2007 (LCM2007), percentage cover at 1km for aggregate classes. Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates…","state":"published","title":"Land Cover Map 2007 (1km percentage aggregate class, GB) Web Map Service v1.2","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorOrcid":["0000-0002-7398-4237","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9500-0633","0000-0002-3627-851X","0000-0003-0529-4020","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for the years 2040, 2070 and 2100 under the Shared Socioeconomic Pathways (SSPs) 1-5. SSPs are future scenarios based on narratives of possible socio-economic pathways.\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\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.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.","E.J. ","T.","M."],"grant":["NE/R016429/1 "],"identifier":"eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","incomingCitationCount":0,"keyword":["Environmental risk","aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsOther":["aerosol","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","sulphur oxide","nitrogen oxides","reduced nitrogen","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen","UK-SCAPE"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:53:55.000Z","orcid":["0000-0002-7398-4237","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9500-0633","0000-0002-3627-851X","0000-0003-0529-4020","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc","doi:10.5285/eec9634d-ba2b-4553-a65d-ef6ce4c40ebc"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,…","state":"published","supplementalDescription":["Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J. C., Kc, S., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva, L. A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Drouet, L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A., and Tavoni, M.: The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change, 42, 153–168, https://doi.org/10.1016/j.gloenvcha.2016.05.009, 2017."],"supplementalName":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp.","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01012022  ","The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory","Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre.","SSP scenarios"],"temporalExtentText":"Data collected from 2040 to 2040","title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 2040, 2070 and 2100 under the Shared Socioeconomic Pathway scenarios 1-5","topic":["0/Environmental risk/"],"version":1.0,"view":["public","crimar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Reading"],"authorFamilyName":["Woodcock","Oliver","Newbold","Gweon","Roy","Pywell"],"authorFullName":["Woodcock, B.A.","Oliver, A.E.","Newbold, L.K.","Gweon, H.S.","Roy, D.B.","Pywell, R.F."],"authorGivenName":["B.A. ","A.E.","L.K.","H.S.","D.B.","R.F."],"authorOrcid":["0000-0003-0300-9951","0000-0003-4923-277X","0000-0001-8895-1406","0000-0002-6218-6301","0000-0002-5147-0331","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera).  This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme (https://honey-monitoring.ac.uk/). All data provided is from the first full year of the scheme in 2019. \n\nWorking in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed.\n\nThe Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. ","documentType":"GEMINI_DOCUMENT","familyName":["Woodcock","Oliver","Newbold","Gweon","Roy","Pywell"],"fullName":["Woodcock, B.A.","Oliver, A.E.","Newbold, L.K.","Gweon, H.S.","Roy, D.B.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["B.A. ","A.E.","L.K.","H.S.","D.B.","R.F."],"grant":["NE/N018125/1"],"identifier":"e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","incomingCitationCount":0,"keyword":["United Kingdom","Agriculture","Biodiversity","Pollinators","Honey","DNA Metabarcoding","Forage plants","National Honey Monitoring Scheme","Assist","Apis mellifera","Honeybee","pollen","forage crop"],"keywordsOther":["Honey","DNA Metabarcoding","Forage plants","National Honey Monitoring Scheme","Assist","Apis mellifera","Honeybee","pollen","forage crop"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Agriculture","Biodiversity","Pollinators"],"licence":"Open government licence","lineage":"All honey samples were submitted following an application though the National Honey Monitoring Scheme online portal which required minimum meta-data on site location and sample date which was verified.   This included in some cases additional data on hive health metrics.  DNA meta-barcoding to rapidly process samples to identify plant species.  Quality assurance of the DNA metabarcoding was delivered through operational deployment of sophisticated protocols for barcoding and interpreting large volumes of honey samples. To do this we developed the HONEYPI pipeline implemented in python 2.7 and is open access (https://github.com/hsgweon/honeypi).  The HONEYPI pipeline is divided into several parts as follows: 1) the raw amplicon sequences are quality filtered and adapters removed; 2) DADA2 pipeline is subsequently used to generate an Amplicon Sequence Variant (ASV) abundance table containing chimera-removed, high-quality error-corrected sequences. 3). For each ASV, conserved regions flanking ITS2 are removed; and (4) resulting sequences taxonomically classified using the naive Bayesian classifier against in-house ITS2 database.  Since HONEYPI uses ASVs rather than clusters of sequences for classification, it allows combining of ASV tables, i.e. data from two or more separate sequencing runs can be merged without re-clustering sequences. \n\nA full open access methodological paper describing this approach is given in Oliver et al (2021) MethodsX, 8, 101303 (https://doi.org/10.1016/j.mex.2021.101303)","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:51:39.000Z","orcid":["0000-0003-0300-9951","0000-0003-4923-277X","0000-0001-8895-1406","0000-0002-6218-6301","0000-0002-5147-0331","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5","doi:10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera).  This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK…","state":"published","supplementalDescription":["Oliver, A. E., Newbold, L. K., Gweon, H. S., Read, D. S., Woodcock, B. A., & Pywell, R. F. (2021). Integration of DNA extraction, metabarcoding and an informatics pipeline to underpin a national citizen science honey monitoring scheme. In MethodsX (Vol. 8, p. 101303). Elsevier BV"],"supplementalName":["National Honey Monitoring Scheme website"],"temporalExtentText":"Data collected from 2019 to 2019","title":"Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019","topic":["0/Agriculture/","0/Biodiversity/","0/Pollinators/"],"version":1.0,"view":["public","danor"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2017 (LCM2017).  It describes Great Britain and Northern Ireland land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  The data was derived by rasterising the corresponding LCM2017 land parcels datasets into 25m pixels.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland"],"fullName":["Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["Clare"],"grant":["NE/R016429/1"],"identifier":"a687a1a1-cfbd-43f5-996f-05cee856ff2d","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService","UK-SCAPE"],"keywordsOther":["infoMapAccessService","UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels dataset of LCM2017 was derived by rasterising the corresponding Land Parcels datasets. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:43:57.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-10T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a687a1a1-cfbd-43f5-996f-05cee856ff2d"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the web map service (WMS) for the 25m rasterised land parcels dataset of the UKCEH Land Cover Map of 2017 (LCM2017).  It describes Great Britain and Northern Ireland land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Land Cover Map 2017 25m raster web service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Leeds","University of East Anglia","University of Groningen","University of Sheffield"],"authorFamilyName":["Sparks","Spurgin","van der Velde","Fairfield","Komdeur","Burke","Richardson","Dugdale"],"authorFullName":["Sparks, A.M.","Spurgin, L.G.","van der Velde, M.","Fairfield, E.A.","Komdeur, J.","Burke, T.","Richardson, D.S.","Dugdale, H.L."],"authorGivenName":["A.M.","L.G.","M.","E.A.","J.","T.","D.S.","H.L."],"authorOrcid":["0000-0002-7697-4632","0000-0002-0874-9281","0000-0003-3848-1244","0000-0001-7226-9074","0000-0001-8769-0099"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex, age, birth period, qPCR plate identity, RTL, technician, territory, field period, mum ID, dad ID, mum age at conception, dad age at conception, dominant female ID in the natal territory, dominant male ID in the natal territory","documentType":"GEMINI_DOCUMENT","familyName":["Sparks","Spurgin","van der Velde","Fairfield","Komdeur","Burke","Richardson","Dugdale"],"fullName":["Sparks, A.M.","Spurgin, L.G.","van der Velde, M.","Fairfield, E.A.","Komdeur, J.","Burke, T.","Richardson, D.S.","Dugdale, H.L.","Dugdale, H."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","L.G.","M.","E.A.","J.","T.","D.S.","H.L.","Hannah"],"grant":["NE/P011284/1"],"identifier":"8a8240a2-e8ed-495d-ae93-c35200956764","incomingCitationCount":1,"keyword":["Life history","Telomere","Seychelles Warbler","Senescence","Biomarkers"],"keywordsOther":["Life history","Telomere","Seychelles Warbler","Senescence","Biomarkers"],"licence":"Open government licence","lineage":"Blood samples (~25 μl) were collected and stored at room temperature in absolute ethanol. DNA was extracted using a DNeasy blood and tissue kit (Qiagen) according to the manufacturer’s instructions with modiﬁcation of overnight lysis at 37 °C and a ﬁnal DNA elution volume of 80 μl. DNA concentration and purity were quantified using a NanoDrop 8000 Spectrophotometer (ThermoScientific). The following thresholds were applied before samples were included for further analysis: (1) DNA concentration must be at least 15 ng/μl (based on a mean of three measurements), (2) the 260/280 absorbance ratio has to be between 1.8 and 2.0 for acceptable DNA purity, and (3) the 260/230 absorbance ratio must be higher than 1.8. DNA integrity was further validated by visualisation with ethidium bromide after electrophoresis on a 1.2% agarose gel, and all samples with evidence of DNA degradation were re-extracted or excluded. All DNA extractions that passed the above criteria were diluted to 3.3 ng/μl before telomere measurement. We used quantitative polymerase chain reaction to calculate a relative measure of telomere length that describes the amount of telomeric DNA in a sample relative to that of GAPDH, a constantly expressed reference gene.","locations":["POLYGON((55.645 -4.345, 55.645 -4.316, 55.679 -4.316, 55.679 -4.345, 55.645 -4.345))"],"metadataDate":"2026-09-02T10:06:31.000Z","orcid":["0000-0002-7697-4632","0000-0002-0874-9281","0000-0003-3848-1244","0000-0001-7226-9074","0000-0001-8769-0099"],"organisation":["University of Leeds","University of East Anglia","University of Groningen","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a8240a2-e8ed-495d-ae93-c35200956764","10.5285/8a8240a2-e8ed-495d-ae93-c35200956764","doi:10.5285/8a8240a2-e8ed-495d-ae93-c35200956764"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex,…","state":"published","temporalExtentText":"Data collected from 1995 to 2014","title":"Telomere length data from a wild population of Seychelles Warblers on Cousin Island, 1995-2014","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Lancaster University","Manchester University","Scotland’s Rural College (SRUC)","Institut national de la recherche agronomique (INRA)"],"authorFamilyName":["McCormack","Ostle","Bardgett","Hopkins","Pereira","Vanbergen"],"authorFullName":["McCormack, S.","Ostle, N.","Bardgett, R.D.","Hopkins, D.W.","Pereira, M.G.","Vanbergen, A.J."],"authorGivenName":["S.","N.","R.D.","D.W.","M. Glória","A.J."],"authorOrcid":["0000-0003-3263-3702","0000-0002-5131-0127","0000-0003-3740-0019","0000-0001-8320-5535"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/02aswte26","https://ror.org/044e2ja82"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data describe the results of a three year (2011-2013) factorial experiment using plant-soil mesocosms testing the effects of biochar on soil biodiversity and soil carbon fluxes.  The experimental design comprised three treatments: \n  (1) biochar (absence or presence at 2% w/w); \n  (2) plant type (barley, perennial ryegrass, or unvegetated); and \n  (3) soil texture (sandy clay, sandy silt loam, clay loam). \n\nEcosystem responses measured were net ecosystem exchange of carbon (NEE) & ecosystem respiration (both g CO2 m-2 h-1) and plant biomass (g aboveground and root).\n\nSoil biological responses measured were estimates of microbial community structure (fungal-to-bacterial ratio, total phospho-lipid fatty acid (PFLA) nmol g-1 soil) and densities (g-1 soil) of nematode worms and soil microarthropods (Collembola, Acari). \n\nThe experiment was done at the Centre for Ecology & Hydrology in Penicuik, near Edinburgh in Scotland (UK). Soils used in the experiment were taken from the top 20 cm of the soil profile, from the James Hutton Institute’s Balruderry Farm near Dundee, Scotland, UK (56° 27’ N, 3° 4’ W). \n\nThis research was funded by a Natural Environment Research Council Open CASE PhD studentship grant (NE/HO18085/1).","documentType":"GEMINI_DOCUMENT","familyName":["McCormack","Ostle","Bardgett","Hopkins","Pereira","Vanbergen"],"fullName":["McCormack, S.","Ostle, N.","Bardgett, R.D.","Hopkins, D.W.","Pereira, M.G.","Vanbergen, A.J.","Vanbergen, A."],"funder":["Natural Environment Research Council"],"givenName":["S.","N.","R.D.","D.W.","M. Glória","A.J.","Adam"],"grant":["NE/HO18085/1"],"identifier":"130369e1-d9c7-436c-bd0c-1ccde4844576","incomingCitationCount":1,"keyword":["Climate and climate change","Soil","Biodiversity","biochar"],"keywordsOther":["biochar"],"keywordsTheme":["Climate and climate change","Soil","Biodiversity"],"licence":"Open government licence","lineage":"72 plant-soil mesocosms were used; they were 38l in volume (380 x 380 x 300 mm).\n\nSoil fauna samples were taken for nematodes on 21–22 June 2011, 28–29 August 2012 and 20 August 2013, and for microarthropods (collembola, mites) on 20 August 2013. On each occasion, each mesocosm was sampled in three random locations with a 3.5 cmØ corer to 10 cm depth. Each soil core was split vertically into two halves, one half designated for nematode extraction and the other for microarthropod extraction. The three replicate halves were pooled into a single sample for each pot, with fresh weight recorded prior to invertebrate extraction. For nematode extraction, soil samples were placed in a Baermann funnel system for 24 h wet extraction. Microarthropods were collected into alcohol-filled vials using Tullgren funnels for 24 h. Following extraction of invertebrates, the soil was oven-dried and weighed to determine soil dry weight. Nematodes and microarthropods (mites and collembola) were counted under a light microscope, and abundance values were converted to standardised densities by calculating individuals per g of dry soil.\n\nTo quantify annual aboveground primary production, barley and ryegrass biomass was collected by cutting the vegetation biomass to 1 cm above the soil surface using handheld shears in September of each year, 2011– 2013. Root biomass was determined in August 2013 by taking one soil core from each mesocosm (3.5 cm Ø, 10 cm depth). Only the top 10 cm were analysed so that root data would correspond to the same soil stratum as sampled for invertebrates. Separation of roots from soil was accomplished using washing, sieving (1mm mesh) and handpicking. Once separated, the plant material was oven-dried prior to weighing.\n\nPhospholipid fatty acid (PLFA) analysis was used in order to quantify the dry weight-based mass of markers for microbial biomass and fungal-to-bacterial ratio in the soil in different treatments. One soil sample per mesocosm (3.5 cm Ø core to 10 cm depth) was taken in August 2013 and stored at −20 °C prior to freeze-drying at −20 °C. A subsample (1 g) of the freeze-dried soil was subsequently taken for phospholipid fatty acid (PLFA) analysis. Three measures of microbial community structure were derived. Total PLFA provided a measure of overall microbial biomass; the 16:1ω5 fatty acid marker was used as a proxy measurement for arbuscular mycorrhizal biomass  and the fungal-to-bacterial PLFA ratio was calculated by dividing the fungal PLFA marker (18:2ω6,9) by the summed bacterial PLFA markers (i15:0, a15:0, 15:0, i16:0, 16:1ω7, a17:0, i17:0, cy17:0, cis18:1ω7, cy19:0).\n\nEcosystem respiration and net ecosystem exchange (NEE) of CO2 fluxes from each mesocosm were quantified monthly. An IRGA EGM-4  connected to a gas sampling chamber (45,693 cm3) was used. The chamber was inlaid with Propafilm C on all five sides to allow light transmission so NEE of CO2 could be measured. Ecosystem respiration was measured by using an aluminium cover to exclude light from the chamber. Prior to the onset of the experiment, chamber air-tightness was confirmed by injecting a known concentration of SF6 into a chamber connected to a trial pot, then using a gas chromatograph to monitor SF6 levels over the course of one hour. Net CO2 efflux data were expressed as positive values whereas net CO2 uptake data were expressed as negative values.","locations":["POLYGON((-3.066 56.447, -3.066 56.529, -2.893 56.529, -2.893 56.447, -3.066 56.447))"],"metadataDate":"2026-09-25T12:38:23.000Z","orcid":["0000-0003-3263-3702","0000-0002-5131-0127","0000-0003-3740-0019","0000-0001-8320-5535"],"organisation":["Centre for Ecology & Hydrology","Lancaster University","Manchester University","Scotland’s Rural College (SRUC)","Institut national de la recherche agronomique (INRA)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-08-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/130369e1-d9c7-436c-bd0c-1ccde4844576","10.5285/130369e1-d9c7-436c-bd0c-1ccde4844576","doi:10.5285/130369e1-d9c7-436c-bd0c-1ccde4844576"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/02aswte26","https://ror.org/044e2ja82","https://ror.org/04xw4m193"],"shortenedDescription":"These data describe the results of a three year (2011-2013) factorial experiment using plant-soil mesocosms testing the effects of biochar on soil biodiversity and soil carbon fluxes.  The experimental design comprised three treatments: \n  (1) biochar (absence or presence…","state":"published","temporalExtentText":"Data collected from 2011 to 2013","title":"Soil biodiversity, carbon cycling and crop plant biomass responses to experimental biochar amendment of agricultural soil (Dundee, UK)","topic":["0/Climate and climate change/","0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of St Andrews"],"authorFamilyName":["Maunder","Paterson"],"authorFullName":["Maunder, J.","Paterson, D.M."],"authorGivenName":["J.","D.M."],"authorRor":["https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details surface sediment chlorophyll concentrations across six intertidal sites in the winter and summer of 2013. Chlorophyll concentrations in surface sediments (<2mm) provide a quantitative measure of the microphytobenthos (MPB) community present. Three 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, twenty two sampling quadrats were placed on each area. Five replicate sediment samples were taken at each quadrat and then underwent acetone extraction of pigments followed by spectrophotometer analysis of absorptions at relevant wavelengths. Values for chlorophyll a, b and c1+ c2 are expressed as micrograms per gram of sediment.\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":["Maunder","Paterson"],"fullName":["Maunder, J.","Paterson, D.M."],"funder":["Natural Environment Research Council"],"givenName":["J.","D.M.","Jack"],"grant":["NE/J015644/1"],"identifier":"55bc4927-5d9b-4e64-b30e-f4f97c84b87c","incomingCitationCount":0,"keyword":["CBESS","BESS","mudflat","contact core","sediment chlorophyll concentration","surface sediment","microphytobenthos","Essex","Morecambe Bay","salt marsh","sediment"],"keywordsOther":["mudflat","contact core","sediment chlorophyll concentration","surface sediment","microphytobenthos","Essex","Morecambe Bay","salt marsh","sediment"],"keywordsProject":["CBESS","BESS"],"licence":"Open government licence","lineage":"Sediment chlorophyll content was determined through the collection of contact cores. Contact cores use liquid nitrogen to freeze the top 2 mm of the sediment surface, excess unfrozen sediment is removed and sample core is stored below -80 deg C to ensure preservation of pigments. The sample is freeze dried to remove all water and a sub-sample taken. Acetone is added to the sediment sample and stored at -20 deg C for 48 hours to allow extraction of pigments. The sample is centrifuged and supernatant is analysed in a spectrophotometer for absorption at wavelengths 630, 647, 664 and 750 nanometres (nm). Values for chlorophyll a, b and c1+ c2 are expressed as micrograms per gram of sediment. The location of the sample sites was determined by randomly allocated quadrats. Twenty-two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-09-15T08:40:50.000Z","organisation":["University of St Andrews","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/55bc4927-5d9b-4e64-b30e-f4f97c84b87c","10.5285/55bc4927-5d9b-4e64-b30e-f4f97c84b87c","doi:10.5285/55bc4927-5d9b-4e64-b30e-f4f97c84b87c"],"resourceType":"Dataset","rightsHolder":["University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details surface sediment chlorophyll concentrations across six intertidal sites in the winter and summer of 2013. Chlorophyll concentrations in surface sediments (<2mm) provide a quantitative measure of the microphytobenthos (MPB) community present. Three…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) surface sediment chlorophyll concentrations in saltmarsh and mudflat habitats","version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}