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For each crop, only grid cells with >500 tonnes crop production were included when mapping the Yield Constraint Score (YCS).\n\nModelled ozone data (2010-2012) were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Percentage yield loss per grid cell was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. Pests and diseases data (2002-2004) were downloaded from a Centre for Agriculture and Biosciences International (CABI) database providing estimates for pre-harvest crop losses due to weeds, animal, pathogens and viruses, compiled from the literature. Soil nutrient classifications (for 2009, derived using soil attributes from the Harmonized World Soil Database (HWSD)) were downloaded from the GAEZ data portal. A heat stress index was calculated using daily temperature data from the European Centre for Medium-Range Weather Forecasts Integrated Forecasting System (ECMWF) for 1990-2014 to determine whether the temperature within a 30-day thermal-sensitive period exceeded crop tolerance thresholds. Global Aridity Index data (1950-2000) were downloaded from the Consultative Group for International Agricultural Research’s Consortium for Spatial Information (CGIAR-CSI).\n\nFor ozone and pests, crop yield loss data was used to derive the YCS on a scale of 1-5, with 1 = 0-5% loss; 2 = 5- 10% loss; 3 = 10-25% loss; 4 = 25-40% loss; 5 = >40% loss. Percentage yield loss data was not available for the other 3 crop stresses, therefore categorical classes were used to designate the YCS from 1 (No/very little stress) – 5 (severe stress). The highest yield loss class (>40%) was expected to be comparable to severe stress (i.e. YCS = 5) for all yield constraints. YCS values for each crop stress, and the total YCS (i.e. sum of the score for all stresses) were added to the 1° by 1° resolution grid and saved as GIS shapefiles, with one file per crop.\n\nFull detail on the methodology used to obtain data for each crop stress is available in the Supporting Information for this dataset.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-05-11T18:13:00.000Z","orcid":["https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","https://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0003-3463-0054","https://orcid.org/0000-0001-5370-4894","https://orcid.org/0000-0003-3265-1505"],"organisation":["UK Centre for Ecology & Hydrology","EMEP MSC‐W, Norwegian Meteorological Institute","University of Gothenburg","Institute of Crop Science and Resource Conservation, University of Bonn","Agricultural Research Service","Stockholm Environment Institute at York","State Key Laboratory of Urban and Regional Ecology","University of Tokyo","Institute of Science, Banaras Hindu University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-07-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d347ed22-2b57-4dce-88e3-31a4d00d4358","10.5285/d347ed22-2b57-4dce-88e3-31a4d00d4358","doi:10.5285/d347ed22-2b57-4dce-88e3-31a4d00d4358"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/02d2m2044","https://ror.org/017w08b10","https://ror.org/00gqqed17","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"shortenedDescription":"A Yield Constraint Score (YCS; scale of 1-5) was developed for the effect of five key crop stresses (ozone, pests and diseases, soil nutrients, heat stress and aridity) on the production of the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat...","state":"published","supplementalDescription":["Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. 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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":"2026-05-11T18:22:18.000Z","orcid":["https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0003-4923-277X","https://orcid.org/0000-0001-8895-1406","https://orcid.org/0000-0002-6218-6301","https://orcid.org/0000-0002-5147-0331","https://orcid.org/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"],"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","emmben"]},{"authorAffiliation":["University of Hull","Newcastle University","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari"],"authorFamilyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"authorFullName":["Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"authorGivenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"authorOrcid":["https://orcid.org/0000-0003-3547-3791"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/01kj2bm70","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future coastal change scenarios (short-, medium-, and long-term), and is sortable based on the overall risk score for each climate scenario.","documentType":"GEMINI_DOCUMENT","familyName":["Riley","Mayes","Jarvis","Amezaga","Burke","Byrne","Crane","Comber","Gandy","Hudson-Edwards","Jennings","Lewis","Lofts","MacDonald","Malcolm","Onnis","Olszewska","Spears"],"fullName":["Adam Jarvis","Riley, A.L.","Mayes, W.M.","Jarvis, A.P.","Amezaga, J.M.","Burke, I.T.","Byrne, P.","Crane, R.A.","Comber, S.D.W.","Gandy, C.J.","Hudson-Edwards, K.A.","Jennings, E.","Lewis, E.","Lofts, S.","MacDonald, J.M.","Malcolm, H.","Onnis, P.","Olszewska, J.","Spears, B."],"funder":["Natural Environment Research Council"],"givenName":["A. L.","W. M.","A. P.","J. M.","I. T.","P.","R. A.","S. D. W.","C. J.","K. A.","E.","S.","H.","J.","B."],"grant":["NE/T003286/1","NE/T003022/1","NE/T002824/1","NE/T003200/1"],"identifier":"2501589d-1a13-4e6e-a25b-b74993c5b758","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","Environmental risk","coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsOther":["coast","impact assessment","landfill","landfill leachate","pollution","waste","water quality","geochemistry"],"keywordsTheme":["Climate and climate change","Environmental survey","Environmental risk"],"licence":"Non-Open government licence","lineage":"A combination of publicly available and proprietary shapefiles of waste deposits were analysed using GIS methods. Output data were then fed into a prioritisation method based on source-pathway-receptor models. A suite of spatial data has been integrated in order to score potential risks associated with waste type (Source), likelihood of pollutant release relating to current and future flood and erosion climate projections, alongside current management infrastructure (Pathway), and proximity to sensitive ecological features or proxies of human use in coastal areas (Receptors).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:23:25.000Z","orcid":["https://orcid.org/0000-0003-3547-3791"],"organisation":["Newcastle University","University of Hull","University of Leeds","Liverpool John Moores University","University of Exeter","University of Plymouth","The University of Queensland","University of Manchester","UK Centre for Ecology & Hydrology","University of Glasgow","University of Cagliari","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2501589d-1a13-4e6e-a25b-b74993c5b758","10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758","doi:10.5285/2501589d-1a13-4e6e-a25b-b74993c5b758"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04nkhwh30","https://ror.org/024mrxd33","https://ror.org/04zfme737","https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/00rqy9422","https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/003109y17","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the output of a national-scale prioritisation exercise aimed at determining the risks posed by 30,310 legacy waste sites and historical landfill sites to the coastal environment of England and Wales. The analysis was repeated under three future...","state":"published","supplementalDescription":["Riley AL, Amezaga J, Burke IT, Byrne P, Cooper N, Crane RA, Comber SDW, Gandy CJ, Hudson-Edwards KA, Jennings E, Lewis E, Lofts S, MacDonald JM, Malcolm H, Mayes WM, Onnis P, Olszewska J, Spears B and Jarvis AP (2022) Incorporating conceptual site models into national-scale environmental risk assessments for legacy waste in the coastal zone. Front. Environ. Sci. 10:1045482. doi: 10.3389/fenvs.2022.1045482"],"title":"List of legacy waste deposits (including historical landfill sites) across England and Wales, ranked by environmental risk to the coastal environment under future climate scenarios","topic":["0/Climate and climate change/","0/Environmental survey/","0/Environmental risk/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of St Andrews","University of Glasgow","University of York","UK Centre for Ecology & Hydrology","University of Leeds","Bangor University "],"authorFamilyName":["Smeaton","Ladd","Havelock","Miller","Garrett","Hiles","McMahon","Mills","Radbourne","Rees-Hughes","Riegel","Barlow","Skov","Gehrels","Austin"],"authorFullName":["Smeaton, C.","Ladd, C.J.T.","Havelock, G.M.","Miller, L.C.","Garrett, E.","Hiles, W.","McMahon, L.","Mills, R.T.E.","Radbourne, A.","Rees-Hughes, L.","Riegel, S.","Barlow, N.L.M.","Skov, M.W.","Gehrels, R.","Austin, W.E.N."],"authorGivenName":["C.","C.J.T.","G.M.","L.C.","E.","W.","L.","R.T.E.","A.","S.","N.L.M.","M.W. ","R.","W.E.N."],"authorOrcid":["https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0001-5862-1596","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0001-9985-0651","https://orcid.org/0000-0001-9647-4769","https://orcid.org/0000-0003-0199-7108","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-4452-3984","https://orcid.org/0000-0003-3657-9600","https://orcid.org/0000-0002-2713-2543","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0002-5088-5834","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/024mrxd33","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to facilitate the calculation of saltmarsh soil organic carbon stocks. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The data provides a quantitative measure of soil dry bulk density and organic carbon content across varies substrate and marsh types.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Ladd","Havelock","Miller","Garrett","Hiles","McMahon","Mills","Radbourne","Rees-Hughes","Riegel","Barlow","Skov","Gehrels","Austin"],"fullName":["Smeaton, C.","Ladd, C.J.T.","Havelock, G.M.","Miller, L.C.","Garrett, E.","Hiles, W.","McMahon, L.","Mills, R.T.E.","Radbourne, A.","Rees-Hughes, L.","Riegel, S.","Barlow, N.L.M.","Skov, M.W.","Gehrels, R.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.J.T.","G.M.","L.C.","E.","W.","L.","R.T.E.","A.","S.","N.L.M.","M.W. ","R.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"d301c5f5-77f5-41ba-934e-a80e1293d4cd","incomingCitationCount":1,"keyword":["United Kingdom","C-SIDE","cores","dry bulk density","substrate","Scotland","England","Wales","soil","carbon","salt marsh","sediment","wetland","intertidal zone","blue carbon","coastal area","organic carbon","organic matter"],"keywordsOther":["United Kingdom","C-SIDE","cores","dry bulk density","substrate","Scotland","England","Wales","soil","carbon","salt marsh","sediment","wetland","intertidal zone","blue carbon","coastal area","organic carbon","organic matter"],"licence":"Open government licence","lineage":"Across 22 UK saltmarshes 462 narrow diameter (30mm) soil cores were collected, the cores were described in the field following the Troels-Smith scheme. The cores were sub-sampled in the field at 10cm intervals resulting in 3434 samples. The location of each coring site was recorded using DGPS. Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Soil dry bulk density and organic carbon content was measured 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((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:12:11.000Z","orcid":["https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0001-5862-1596","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0001-9985-0651","https://orcid.org/0000-0001-9647-4769","https://orcid.org/0000-0003-0199-7108","https://orcid.org/0000-0003-3167-5783","https://orcid.org/0000-0002-4452-3984","https://orcid.org/0000-0003-3657-9600","https://orcid.org/0000-0002-2713-2543","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0002-5088-5834","https://orcid.org/0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Glasgow","University of York","UK Centre for Ecology & Hydrology","University of Leeds","Bangor University ","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d301c5f5-77f5-41ba-934e-a80e1293d4cd","10.5285/d301c5f5-77f5-41ba-934e-a80e1293d4cd","doi:10.5285/d301c5f5-77f5-41ba-934e-a80e1293d4cd"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/024mrxd33","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of physical and biogeochemical measurements of saltmarsh soils from across 22 UK saltmarshes. Between 2018 and 2021, 462 narrow diameter gouge cores (30 mm in diameter) were collected as part of the Carbon Storage in Intertidal Environments (C-SIDE)...","state":"published","title":"Physical and geochemical properties of saltmarsh soils from narrow diameter gouge cores in UK saltmarshes collected between 2018 and 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Edinburgh","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Shortman","Perry","Cavers"],"authorFullName":["Shortman, J.","Perry, A.","Cavers, S."],"authorGivenName":["J.","A. ","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured for each cone between June and July 2024. Traits include cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile and colour, seed number and mean seed weight. ","documentType":"GEMINI_DOCUMENT","familyName":["Shortman","Perry","Cavers"],"fullName":["Shortman, J.","Perry, A.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["J.","A. ","S."],"grant":["NE/V019813/1"],"identifier":"b98e92cf-6ff5-42e2-8053-021ea04db01c","incomingCitationCount":0,"keyword":["Scotland","Phenology","genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","reproductive traits","Scots pine"],"keywordsOther":["genetic variation","Caledonian pinewood","common garden experiment","phenotype","Pinus sylvestris","reproductive traits","Scots pine"],"keywordsPlace":["Scotland"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"A long-term common garden trial was established in 2012 at Yair (latitude 55.603625, longitude -2.893025), using five-year-old saplings. It contains trees from 8 families (where a family comprises individuals grown from seed sampled from a single common tree) from each of 21 Scottish pinewoods and is arranged into four complete randomised blocks (see supporting document for reference). \n\nOver four days in February 2024, cone number was measured as a count of all visible cones on the south-facing side of each tree. Then, five cones were sampled from each tree for trait measurement. Cone length, cone width, cone dry weight, scale length, scale width, scale count, stalk length, profile, colour, seed number and mean seed weight were all recorded for every cone. Cone ratio (cone width / length) and seed viability (number of filled seeds / number of empty seeds) were also recorded. ","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-05-11T17:46:09.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0003-2139-9236"],"organisation":["University of Edinburgh","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-01-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b98e92cf-6ff5-42e2-8053-021ea04db01c","10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c","doi:10.5285/b98e92cf-6ff5-42e2-8053-021ea04db01c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/01nrxwf90","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains phenotypic data on Scots pine cones and seeds sampled from individual trees in a long-term common garden trial. For each tree, overall cone counts were conducted and five cones were sampled in February 2024. Seventeen phenotypic traits were measured...","state":"published","title":"Long-term multisite Scots pine trial, Scotland: cone and seed phenotypes, 2024 ","topic":["0/Phenology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Heriot-Watt University"],"authorFamilyName":["Visser-Quinn","Ncube","Beevers","Adeloye"],"authorFullName":["Visser-Quinn, A.","Ncube, S.","Beevers, L.","Adeloye, A.J."],"authorGivenName":["A.","S.","L.","A.J."],"authorOrcid":["https://orcid.org/0000-0003-1787-6239","https://orcid.org/0000-0001-6930-9135","https://orcid.org/0000-0002-1597-273X","https://orcid.org/0000-0002-2820-4596"],"authorRor":["https://ror.org/04mghma93"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude).\n\nThe data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC.","documentType":"GEMINI_DOCUMENT","familyName":["Visser-Quinn","Ncube","Beevers","Adeloye"],"fullName":["Visser-Quinn, A.","Ncube, S.","Beevers, L.","Adeloye, A.J.","Adeloye, A."],"funder":["Natural Environment Research Council"],"givenName":["A.","S.","L.","A.J.","Adebayo"],"grant":["NE/N016394/1"],"identifier":"6bfc1787-354d-454f-8277-d9edb1e6455a","incomingCitationCount":0,"keyword":["Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)","Environmental survey","river","invertebrate"],"keywordsOther":["river","invertebrate"],"keywordsProject":["Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat)"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Macroinvertebrate kick-sampling data were collected at four sites on the River Beas, India on the 3rd and 4th November 2017 following the UK Environment Agency's standard semi-quantitative protocol (Murray-Bligh, 1999).","locations":["POLYGON((74.498 30.714, 74.498 32.156, 76.301 32.156, 76.301 30.714, 74.498 30.714))"],"metadataDate":"2026-05-11T18:15:48.000Z","orcid":["https://orcid.org/0000-0003-1787-6239","https://orcid.org/0000-0001-6930-9135","https://orcid.org/0000-0002-1597-273X","https://orcid.org/0000-0002-2820-4596"],"organisation":["Heriot-Watt University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6bfc1787-354d-454f-8277-d9edb1e6455a","10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a","doi:10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a"],"resourceType":"Dataset","rightsHolder":["Heriot-Watt University"],"ror":["https://ror.org/04mghma93","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included...","state":"published","supplementalDescription":["Quality management systems for environmental monitoring: biological \ntechniques, BT001. Procedure for collecting and analysing macro-invertebrate samples. Version 2.0. Environment Agency: Bristol.\n"],"supplementalName":["Murray-Bligh, J. 1999","SusHi-Wat: Sustaining Himalayan Water Resources in a Changing Climate website","UKRI grant information on SusHi-Wat"],"title":"Macroinvertebrate sampling in the River Beas, India, 2017","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Unaffiliated","Royal Veterinary College of London"],"authorFamilyName":["Sánchez-Monge","Kock"],"authorFullName":["Sánchez-Monge, F.","Kock, R.A."],"authorGivenName":["Fiorella","R.A."],"authorOrcid":["https://orcid.org/0000-0003-2164-385X","https://orcid.org/0000-0002-6561-3209"],"authorRor":["https://ror.org/01wka8n18"],"availability":"Available","catalogue":"eidc","dataFormat":["Semi-colon delimited text"],"description":"Field-pathological findings of 33 saiga antelope carcasses (adults and new-born) found in two sites (Tengiz and Turgai, Kazakhstan) during a mass die-off event in May 2015. \n\nIn Kazakhstan May 2015, approximately 200,000 saiga antelopes died within a month-period causing a loss of two-thirds of the global population. The dramatic event occurred during calving season when females and young males stop migrating and form massive aggregations for calving purposes.  With 100% morbidity and 100% mortality of affected herds observed, the 2015 die-off left the largest saiga population, Betpak-Dala, with approximately 30,000 survivors based on post mortality census, highlighting the imminent extinction threats to this critically endangered species. \n\nThe lack of pathological investigations during historical mass mortality events has limited our understanding of disease-related mortalities in saiga antelope. Generally, aetiological agents were isolated from dead saiga, but the disease course and a full necropsy were not performed nor present in the records. However, for the first time, a full pathology report was possible during 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Sánchez-Monge","Kock"],"fullName":["Sánchez-Monge, F.","Kock, R.A."],"givenName":["Fiorella","R.A."],"identifier":"30cbfba7-f9a1-47d5-abdb-f2741041e487","incomingCitationCount":0,"keyword":["Kazakhstan","Tengiz","Saiga antelope"],"keywordsOther":["Saiga antelope"],"keywordsPlace":["Kazakhstan","Tengiz"],"licence":"Open government licence","lineage":"Sixteen saiga carcasses were necropsied in Tengiz Oblast (thirteen adults and three new-borns), and eighteen carcasses in Turgai Oblast (twelve adults and six new-borns). Field necropsy procedures were followed according to: Munson, L., Necropsy of Wild Animals. University of California. 2006. \n\nSamples were fixed in formal saline and shipped and processed at the Royal Veterinary College (RVC), UK. Samples from Turgai were processed at RVC and from Tengiz were processed initially at the Research Institute for Biological Safety Problems (RIBSP), Kazakhstan and re-processed at the RVC. Sample and slide preparation at the RVC is described in  Martineau, H.M. Histopathology of Tissues from Saiga Antelope: Turgai. Pathology and Pathogen Biology Department, Royal Veterinary College of London, UK.\n\nSamples were analysed at the RVC and then sent to the Forest School of Medicine, NC, USA for review. ","locations":["POLYGON((65.45 49.74, 65.45 51.8, 67.49 51.8, 67.49 49.74, 65.45 49.74))"],"metadataDate":"2026-05-11T18:26:31.000Z","orcid":["https://orcid.org/0000-0003-2164-385X","https://orcid.org/0000-0002-6561-3209"],"organisation":["Royal Veterinary College of London","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/30cbfba7-f9a1-47d5-abdb-f2741041e487","10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487","doi:10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487"],"resourceType":"Dataset","ror":["https://ror.org/01wka8n18","https://ror.org/04xw4m193"],"shortenedDescription":"Field-pathological findings of 33 saiga antelope carcasses (adults and new-born) found in two sites (Tengiz and Turgai, Kazakhstan) during a mass die-off event in May 2015. \n\nIn Kazakhstan May 2015, approximately 200,000 saiga antelopes died within a month-period causing...","state":"published","supplementalDescription":["Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events by Kock et al., 2018. Science Advances. DOI: 10.1126/sciadv.aao2314"],"title":"Pathological findings in the mass mortality event of saiga antelope, May 2015","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Manchester"],"authorFamilyName":["Johnson","Voller"],"authorFullName":["Johnson, D.","Voller, F."],"authorGivenName":["David","F"],"authorOrcid":["https://orcid.org/0000-0003-2299-2525","https://orcid.org/0000-0002-3159-488X"],"authorRor":["https://ror.org/027m9bs27"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Seedlings were grown in soil collected from an experiment at Hambleton Forest, North Yorkshire. Soils originated from plots containing either Scots pine or birch monocultures, or a mixture of both species.  In the lab, pairs of seedlings of birch and Scots pine were grown as monocultures and mixtures from each of the three plot treatments.  The data represent the biomass, leaf C:N ratio and mycorrhizal status determined after 20 weeks.","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Voller"],"fullName":["Johnson, D.","Voller, F."],"funder":["Natural Environment Research Council"],"givenName":["David","F","D."],"identifier":"7991871e-382f-422f-b5b2-91b4f6d8598f","incomingCitationCount":0,"keyword":["Hambleton Forest","North Yorkshire","Ectomycorrhiza","Plantation","seedling","Productivity","productivity","birch","Scots pine","biomass","mycorrhiza","carbon","nitrogen"],"keywordsOther":["Ectomycorrhiza","Plantation","seedling","Productivity","productivity","birch","Scots pine","biomass","mycorrhiza","carbon","nitrogen"],"keywordsPlace":["Hambleton Forest","North Yorkshire"],"licence":"Open government licence","lineage":"Soils were collected and transported to the lab and sieved.  Conetainers were filled with sieved soil and non-mycorrhizal seedlings germinated for 2-4 weeks were placed in the containers and transferred to a controlled environment chamber for 20 weeks. Plants were extracted, roots removed and assayed for colonisation under a microscope, and leafs dried, weighed, ground and analysed on a CN analyser.\n\nC and N analysis was using a CUBE elemental analyser and included known standards to check for drift and precision.\n\nBalances are calibrated regularly.\n\nData were imported into Excel and plotted to check for any outliers.","locations":["POLYGON((-2.274 53.716, -2.274 54.588, -0.481 54.588, -0.481 53.716, -2.274 53.716))"],"metadataDate":"2026-05-11T18:54:31.000Z","orcid":["https://orcid.org/0000-0003-2299-2525","https://orcid.org/0000-0002-3159-488X"],"organisation":["University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7991871e-382f-422f-b5b2-91b4f6d8598f","10.5285/7991871e-382f-422f-b5b2-91b4f6d8598f","doi:10.5285/7991871e-382f-422f-b5b2-91b4f6d8598f"],"resourceType":"Dataset","rightsHolder":["University of Manchester"],"ror":["https://ror.org/027m9bs27","https://ror.org/04xw4m193"],"shortenedDescription":"Seedlings were grown in soil collected from an experiment at Hambleton Forest, North Yorkshire. Soils originated from plots containing either Scots pine or birch monocultures, or a mixture of both species.  In the lab, pairs of seedlings of birch and Scots pine were...","state":"published","title":"Biomass, mycorrhizal colonization, carbon and nitrogen content of Scots pine and birch seedlings grown in soil from mixed and monoculture stands","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Sun Yat-sen University","University of Manchester","University of Aberdeen","University of Salford","James Hutton Institute","University of York"],"authorFamilyName":["Liang","Johnson","Burslem","Yu","Fang","Taylor","Helgason","Liu"],"authorFullName":["Liang, M.","Johnson, D.","Burslem, D.F.R.P.","Yu, S.","Fang, M.","Taylor, J.D.","Taylor, A.F.S.","Helgason, T.","Liu, X."],"authorGivenName":["M.","David","D.F.R.P.","S.","J.D.","A.F.S.","T.","X."],"authorOrcid":["https://orcid.org/0000-0002-3155-006X","https://orcid.org/0000-0003-2299-2525","https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0003-1943-0185","https://orcid.org/0000-0002-0924-8323","https://orcid.org/0000-0003-0095-0869","https://orcid.org/0000-0003-0727-8171","https://orcid.org/0000-0003-3639-1499","https://orcid.org/0000-0002-4705-0975"],"authorRor":["https://ror.org/0064kty71","https://ror.org/027m9bs27","https://ror.org/016476m91","https://ror.org/01tmqtf75","https://ror.org/03rzp5127","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas, for tree seedlings of ten common species including five ectomycorrhizal (ECM) and five arbuscular mycorrhizal (AM) species, which were transplanted in the in-growth cores with windows covering different sizes of nylon meshes (35 vs. 0.5 µm).\n\nThe dataset provides raw data on growth and survival metrics for each seedling, plus identifying codes for the dominant sites where the experiments were conducted, as well as experimental block, mesh treatment, botanical names for the tree species, and mycorrhizal type. The data were entered into Excel spreadsheets and exported as comma separated value files (csv). \n\nStudy area - the Heishiding Nature Reserve (111°53’E, 23°27’N, 150-927 m a.s.l.) in Guangdong Province of south China.","documentType":"GEMINI_DOCUMENT","familyName":["Burslem","Liang","Johnson","Yu","Fang","Taylor","Helgason","Liu"],"fullName":["Burslem, D.","Liang, M.","Johnson, D.","Burslem, D.F.R.P.","Yu, S.","Fang, M.","Taylor, J.D.","Taylor, A.F.S.","Helgason, T.","Liu, X."],"givenName":["David","M.","D.F.R.P.","S.","J.D.","A.F.S.","T.","X."],"identifier":"f1d17e61-bb6c-47a9-a648-062c63ea7f16","incomingCitationCount":1,"keyword":["Soil","Environmental survey","subtropical ecosystem","biomass","mycorrhiza"],"keywordsOther":["subtropical ecosystem","biomass","mycorrhiza"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Mesh-walled cores were assembled from 16 cm diameter × 30 cm deep PVC piping, perforated with six 8-cm-diameter windows which were regularly distributed along the side with three of them at the depth of 4-12 cm and the other three at 16-24 cm. The cores were lined with 35 µm or 0.5 µm nylon mesh (Plastok Associates Ltd, Birkenhead, UK) to cover the bottom and the windows, which was attached using transparent superglue (Pattex(R), Henkel Adhesives Ltd., Shantou, China). Nylon mesh with a pore size of 35 µm excludes roots of neighboring plants, but allows mycorrhizal hyphae access to the transplanted seedlings; while cores with a 0.5 µm mesh exclude both fine roots and hyphae, with only free-living soil microorganisms passing through. We then covered the sides and the bottoms of all cores with 2 mm nylon mesh, to prevent soil fauna damaging the smaller size meshes. ","locations":["POLYGON((111 23, 111 23.27, 111.53 23.27, 111.53 23, 111 23))"],"metadataDate":"2026-05-11T18:07:49.000Z","orcid":["https://orcid.org/0000-0001-6033-0990","https://orcid.org/0000-0002-3155-006X","https://orcid.org/0000-0003-2299-2525","https://orcid.org/0000-0003-1943-0185","https://orcid.org/0000-0002-0924-8323","https://orcid.org/0000-0003-0095-0869","https://orcid.org/0000-0003-0727-8171","https://orcid.org/0000-0003-3639-1499","https://orcid.org/0000-0002-4705-0975"],"organisation":["University of Aberdeen","Sun Yat-sen University","University of Manchester","University of Salford","James Hutton Institute","University of York","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f1d17e61-bb6c-47a9-a648-062c63ea7f16","10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16","doi:10.5285/f1d17e61-bb6c-47a9-a648-062c63ea7f16"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/0064kty71","https://ror.org/027m9bs27","https://ror.org/01tmqtf75","https://ror.org/03rzp5127","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reports results on seedling growth and survival for two hyphal exclusion experiments in a subtropical forest. The data include survival status, height, total biomass and the biomass of component plant parts, percentage root colonisation by mycorrhizas,...","state":"published","title":"In situ seedling growth and survival of ectomycorrhizal and arbuscular trees in a subtropical forest in China","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","jgar"]},{"catalogue":"eidc","description":"Data type for water chemistry datasets from Countryside Survey.","documentType":"data-type","identifier":"1e6348d4-165e-4daa-9475-d83e4e1f681a","incomingCitationCount":0,"metadataDate":"2020-04-22T15:08:43.000Z","recordType":"Datatype","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e6348d4-165e-4daa-9475-d83e4e1f681a"],"resourceType":"Datatype","shortenedDescription":"Data type for water chemistry datasets from Countryside Survey.","state":"published","title":"Countryside Survey water chemistry 2007","version":1.0,"view":["public","dgwr"]},{"catalogue":"sa","description":" (The Umwelt probenbank des Bundes or Federal Environmental Specimen Bank (Germany). The German Environmental Specimen Bank (ESB) is an archive for samples that can be used to document and assess the quality of the environment in which we live. These samples are representative for a particular area, and are collected regularly, to be able to monitor changes of pollution over the course of time.\n\nFurthermore, the specimens must be preserved in such a way that they can still be analysed many years after they were collected - either because new techniques have become available or because a new interest has arisen in substances that were not considered important in the past. The specimens must therefore be carefully prepared and stored under conditions that rule out any long-term alteration.\n\nSpecimens from typical ecosystems all over Germany, including coastal regions, urban settlements and mountainous terrain, are collected at regular intervals and stored in the German Environmental Specimen Bank. As well as specimens representing various levels of the food chain such as algae, mussels, fish, herring gulls, human specimens (blood and urine) are collected from student volunteers at four different sites.\n\nAll collected specimens are tested for the presence of a wide variety of chemical substances (including heavy metals) before being deep-frozen and consigned to storage. Low-temperature storage ensures that the specimens remain virtually unaltered, and can be taken out for analysis even many years later - for use in what is known as retrospective monitoring.\n\nThe ESB’s routine analysis programme not only involves measuring the concentration of specific substances but also evaluating the fitness of the sampled organisms on the basis of biometric factors, e.g. age, size, weight, state of health.\n\nThe Environmental Specimen Bank serves as a vital instrument of Germany’s environmental policy, because it not only provides documented evidence of the current state of the environment but also keeps past specimens available for verifying the effectiveness of policy measures and for investigating unanticipated later questions.","documentType":"sample-archive","identifier":"a6e478a7-50ee-4d77-8b7f-ed3423b613b0","incomingCitationCount":0,"locations":["POLYGON((5.801 47.249, 5.801 54.927, 17.358 54.927, 17.358 47.249, 5.801 47.249))"],"metadataDate":"2026-06-02T08:30:50.000Z","recordType":"Sample Archive","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a6e478a7-50ee-4d77-8b7f-ed3423b613b0"],"resourceType":"Sample Archive","shortenedDescription":" (The Umwelt probenbank des Bundes or Federal Environmental Specimen Bank (Germany). The German Environmental Specimen Bank (ESB) is an archive for samples that can be used to document and assess the quality of the environment in which we live. These samples are representative...","state":"published","title":"German Environmental Specimen Bank","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University "],"authorFamilyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"authorFullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"authorGivenName":["K.","O.","E.","L.M.","G.","B."],"authorOrcid":["https://orcid.org/0000-0002-9478-5966","https://orcid.org/0000-0002-9732-4583","https://orcid.org/0000-0002-9120-6236","https://orcid.org/0000-0001-5732-1532","https://orcid.org/0000-0001-6943-9773","https://orcid.org/0000-0002-2750-3914"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for the same samples are found in accompanying files. ","documentType":"GEMINI_DOCUMENT","familyName":["Britton","Czére","Gutierrez","Reynard","Duncan","de Roos"],"fullName":["Britton, K.","Czére, O.","Gutierrez, E.","Reynard, L.M.","Duncan, G.","de Roos, B."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["K.","O.","E.","L.M.","G.","B."],"identifier":"8d5af777-384c-4114-af6b-69cdac239810","incomingCitationCount":0,"keyword":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"keywordsOther":["Archaeology","palaeodiet","health","nutrition","stable isotopes","metabolomics"],"licence":"Open government licence","lineage":"The dataset was generated as a part of the NERC-funded project NE/X012980/1 ‘Determining vitamin D status in precontact Western Alaska: a new method for exploring past health and dietary adaptations to high-latitude living’, as well as from an earlier (internally-allocated) BBSRC-funded pilot study (in the case of some of the isotope data). Vitamin D data were all generated at the University of Aberdeen, and isotope data were generated at SUERC (carbon, nitrogen, sulphur) and Boise State University (oxygen, hydrogen). ","locations":["POLYGON((-161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71, -161.89 59.71))"],"metadataDate":"2026-06-01T09:30:55.000Z","orcid":["https://orcid.org/0000-0002-9478-5966","https://orcid.org/0000-0002-9732-4583","https://orcid.org/0000-0002-9120-6236","https://orcid.org/0000-0001-5732-1532","https://orcid.org/0000-0001-6943-9773","https://orcid.org/0000-0002-2750-3914"],"organisation":["University of Aberdeen","Muséum National d'Histoire Naturelle ","Boise State University ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8d5af777-384c-4114-af6b-69cdac239810","10.5285/8d5af777-384c-4114-af6b-69cdac239810","doi:10.5285/8d5af777-384c-4114-af6b-69cdac239810"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Vitamin D (25(OH)D3 and 1,25(OH)D3) concentrations of incrementally-sampled preserved human hair from non-mortuary contexts at the Yup’ik archaeological site of Nunalleq Alaska (~1650 AD). Multi-isotope isotope data (carbon, nitrogen, sulphur, oxygen and hydrogen) for...","state":"published","title":"Vitamin D and stable isotope data from human hair from the archaeological site, Nunalleq, Alaska","version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["University of Edinburgh"],"authorFamilyName":["Vale","Kutzer"],"authorFullName":["Vale, P.","Kutzer, M."],"authorGivenName":["P.","M."],"authorOrcid":["https://orcid.org/0000-0003-4558-9202","https://orcid.org/0000-0002-8696-6978"],"authorRor":["https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The resource contains experimental data collected at the Institute of Ecology and Evolution, University of Edinburgh between Jan-Oct 2023. Sixty (60) lines from the Drosophila Genetic Reference Panel (DGRP) were exposed to an orally acquired infection of the bacterial pathogen Pseudomonas aeruginosa. Six to ten replicate flies for each line (60) and sex (2) were exposed. Total number of activity events were measured for each fly individually using Drosophila Activity Monitor (DAM), measured at 1 min resolution until death. Mortality was recorded as the last detected movement in DAM. Pathogen shedding was measured for each individual fly as the number of viable P. aeruginosa colony-forming units defecated by an infected fly for 24h following oral infection.","documentType":"GEMINI_DOCUMENT","familyName":["Vale","Kutzer"],"fullName":["Vale, P.","Kutzer, M."],"funder":["Natural Environment Research Council"],"givenName":["P.","M."],"grant":["NE/X009904/1"],"identifier":"65c7085a-7bcf-481a-884a-8e1c9cfc395b","incomingCitationCount":0,"keyword":["Animal behaviour","Drosophila","transmission","super-shedding","activity","heterogeneity","infection","pathogen","mortality","Pseudomonas aeruginosa"],"keywordsOther":["Drosophila","transmission","super-shedding","activity","heterogeneity","infection","pathogen","mortality","Pseudomonas aeruginosa"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Sixty (60) lines from the DGRP were exposed to an orally acquired infection of the bacterial pathogen Pseudomonas aeruginosa. Six to ten replicate flies for each line (60) and sex (2) were exposed individually to infection overnight. Each treatment was replicated 5-10 times (707 samples in total). The experiment was split among 5 experimental blocks with a variable number of replicates tested in each, as described in the data file. \n\nFollowing infection (see above) pathogen shedding was measured by placing each individual fly inside a sterile Eppendorf and then quantifying the number of viable P. aeruginosa colony-forming units defecated each infected fly for 24h following oral infection. CFU (colony forming unit) plating was carried out on Pseudomonas sp. selective media (PIM) to select for P. aeruginosa CFUs only. \n\nEach fly was then transferred to Drosophila Activity Monitor (DAM) and the total number of activity events were measured for each fly individually measured at 1 min resolution until death (2500-~20,000 minutes). Data generated in the DAM included the total number of activity bouts recoded for each minute for the duration of the experiment (2500-~20,000 minutes). The values reported in the resource are the total number of activity bouts recoded per fly until death or until the end of the experiment. Mortality was recorded as the last detected movement in DAM.","metadataDate":"2026-05-11T18:15:31.000Z","orcid":["https://orcid.org/0000-0003-4558-9202","https://orcid.org/0000-0002-8696-6978"],"organisation":["University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/65c7085a-7bcf-481a-884a-8e1c9cfc395b","10.5285/65c7085a-7bcf-481a-884a-8e1c9cfc395b","doi:10.5285/65c7085a-7bcf-481a-884a-8e1c9cfc395b"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"The resource contains experimental data collected at the Institute of Ecology and Evolution, University of Edinburgh between Jan-Oct 2023. Sixty (60) lines from the Drosophila Genetic Reference Panel (DGRP) were exposed to an orally acquired infection of the bacterial...","state":"published","title":"Drosophila activity, survival and pathogen shedding after oral infection with the bacterial pathogen Pseudomonas aeruginosa","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["The Open University"],"authorFamilyName":["Loughlin"],"authorFullName":["Loughlin, N.J.D."],"authorGivenName":["N.J.D."],"authorOrcid":["https://orcid.org/0000-0003-2205-044X"],"authorRor":["https://ror.org/05mzfcs16"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest of Ecuador. \n\nPalaeoecological proxy data were recovered from lake sediments, surface soil and moss pollsters within the eastern Andean cloud forest of Ecuador. Materials and proxy data were collected with the aim of understanding how ecosystem dynamics were driven by anthropogenic, physical and climatic impact through time (late Quaternary). Here, data are provided for pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF). Field samples were collected throughout 2012-2013 from the Napo province of Ecuador and analysed in the laboratory throughout 2014-2015 at The Open University (UK).","documentType":"GEMINI_DOCUMENT","familyName":["Loughlin"],"fullName":["Loughlin, N.","Loughlin, N.J.D."],"funder":["Natural Environment Research Council"],"givenName":["Nicholas","N.J.D."],"grant":["NE/L501888/1"],"identifier":"952e8ddb-b573-44ad-a930-2c8c5164a381","incomingCitationCount":1,"keyword":["late Quaternary","palynological","non-pollen palynomorphs","Neotropics","palynology","charcoal","pollen","palaeoecology"],"keywordsOther":["late Quaternary","palynological","non-pollen palynomorphs","Neotropics","palynology","charcoal","pollen","palaeoecology"],"licence":"Open government licence","lineage":"Sampling regime: Coring of Lake Huila was undertaken using a Livingstone corer with a Colinvaux-Vohnout piston modification from a floating platform attached to two anchored boats in 1.2m of water. Individual core lengths of up to 1m were recovered at a time. Samples were stored within their aluminium tubes for transportation back to the laboratory (The Open University) and kept in a cold room at 4°C until required. Overlapping sediment cores were taken from the centre of Huila, the longest core (Huila-E) reached a total depth of 2.09 m and was used for analysis. Bedrock was not reached during coring. For full details please see supporting documentation (Data_overview.rtf)","locations":["POLYGON((-78.223 -0.729, -78.223 -0.234, -77.769 -0.234, -77.769 -0.729, -78.223 -0.729))"],"metadataDate":"2026-05-11T17:44:36.000Z","orcid":["https://orcid.org/0000-0003-2205-044X"],"organisation":["The Open University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/952e8ddb-b573-44ad-a930-2c8c5164a381","10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381","doi:10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381"],"resourceType":"Dataset","ror":["https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"shortenedDescription":"Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest...","state":"published","supplementalDescription":["Loughlin, N.J.D., Gosling, W.D., Coe, A.L., Gulliver, P., Mothes, P., Montoya, E. (2018). Landscape scale drivers of glacial ecosystem change in the montane forests of the eastern Andean flank, Ecuador. Palaeogeography, Palaeoclimatology, Palaeoecology. 489(1): 198-208.","Loughlin, N.J.D., Gosling, W.D., Montoya, E. (2018). Identifying environmental drivers of fungal non-pollen palynomorphs in the montane forest of the eastern Andean flank, Ecuador. Quaternary Research. 89(1): 119-133. "],"title":"Late Quaternary palynological data from the eastern Andean montane forest of Ecuador","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Smart","Cagnarini","Cosby","Emmett","Thomas","Reinsch"],"authorFullName":["Smart, S.M.","Cagnarini, C.","Cosby, B.J.","Emmett, B.A.","Thomas, A.","Reinsch, S."],"authorGivenName":["S.M.","C.","B.J.","B.A.","A.","S."],"authorOrcid":["https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0001-5106-2429","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0003-4649-0677"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"ukscape","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset  contains aboveground net primary productivity (ANPP) estimates and litter layer depth measurements from five long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each metric was measured once at each site. Litter layer depth was measured between November 2018 and March 2019 . Leaves were sampled for ANPP estimates in 2021. Each land use contrast was assigned a grassland and a woodland plot respectively. Each of these plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. In each plot, nine sampling locations were randomly sampled (three in each grid). The five land use contrasts were: Gisburn (Gisburn-1, Gisburn-2), Alice Holt, Wytham Woods, and Kielder Forest. ANPP (g dry mass m-2 yr-1) was estimated from measured leaf dry matter content of the two dominant species in each grassland and woodland plot. Litter layer depth (cm) was measured with a ruler in the field.\n\nANPP estimates and litter layer depth measurements in this dataset are co-located with soil physical, chemical and biological properties (0-1 m), soil hydraulic measurements (soil water release curves and hydraulic conductivity), and earthworm counts and identification. A file is provided to connect all co-located measurements.\n\nThis project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1).","documentType":"LINK_DOCUMENT","familyName":["Smart","Cagnarini","Cosby","Emmett","Thomas","Reinsch"],"fullName":["Smart, S.M.","Cagnarini, C.","Cosby, B.J.","Emmett, B.A.","Thomas, A.","Reinsch, S."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","C.","B.J.","B.A.","A.","S."],"grant":["NE/R016429/1"],"identifier":"5641fe71-ca60-4531-9e8f-d5e2c72406dd","incomingCitationCount":1,"keyword":["aboveground net primary productivity","litter layer depth","woodland","grassland","UK-SCAPE","SOC-D","Soil","Soil health","Soil Organic Carbon Dynamics"],"keywordsOther":["aboveground net primary productivity","litter layer depth","woodland","grassland","UK-SCAPE","SOC-D","Soil","Soil health","Soil Organic Carbon Dynamics"],"licence":"Open government licence","lineage":"To estimate ANPP, leaves of the two dominant species in grassland and woodland plots were sampled from grids 2 and 5 during peak plant growth. The leaves were dried at 80oC for 24 h and leaf dry matter content (LDMC) was calculated. The LDMC values were then used to estimate ANPP using the model by Smart et al. (2017).\n\nThe litter layer depths were measured in most grids with a ruler at the time of soil sampling. Three measurements were recorded on field sheets and transferred to Microsoft Excel. The data were manipulated using R to calculate the mean and the data were exported as a .csv file  .\n","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-05-11T18:18:41.000Z","orcid":["https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0001-5106-2429","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0003-4649-0677"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9156d263-4def-406d-bdc9-22a6821fe755","10.5285/9156d263-4def-406d-bdc9-22a6821fe755","doi:10.5285/9156d263-4def-406d-bdc9-22a6821fe755"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset  contains aboveground net primary productivity (ANPP) estimates and litter layer depth measurements from five long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each metric was measured once at each site. Litter layer...","state":"published","title":"Plant aboveground net primary productivity estimates (2021) and litter layer depth measurements (2018-2019) at five long-term grassland-to-woodland land use contrasts across England","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Freshwater Biological Association"],"authorFamilyName":["Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"authorFullName":["Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"authorGivenName":["S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C.","H."],"authorOrcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02j85cg51"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly to fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The data were initially collected by the Freshwater Biological Association but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology since 1989. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from April 1945 until the end of 2013","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent"],"fullName":["Feuchtmayr, H.","Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C."],"givenName":["H.","S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C."],"identifier":"87360d1a-85d9-4a4e-b9ac-e315977a52d3","incomingCitationCount":1,"keyword":["Lake District","England","Esthwaite Water","Environmental survey","Water quality"],"keywordsPlace":["Lake District","England","Esthwaite Water"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in Freshwater Biological Association/Centre for Ecology & Hydrology laboratories. ","locations":["POLYGON((-3.001 54.345, -3.001 54.374, -2.966 54.374, -2.966 54.345, -3.001 54.345))"],"metadataDate":"2026-05-11T18:25:31.000Z","orcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"organisation":["NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Freshwater Biological Association","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87360d1a-85d9-4a4e-b9ac-e315977a52d3","10.5285/87360d1a-85d9-4a4e-b9ac-e315977a52d3","doi:10.5285/87360d1a-85d9-4a4e-b9ac-e315977a52d3"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55","https://ror.org/02j85cg51"],"shortenedDescription":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly to fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The data were...","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, 1945 to 2013","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of St Andrews","Bangor University"],"authorFamilyName":["Ruranska","Miller","Hindle","Ladd","Smeaton","Skov","Austin"],"authorFullName":["Ruranska, P.","Miller, L.C.","Hindle, C.","Ladd, C.J.T.","Smeaton, C.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["P.","L.C.","C.","C.J.T.","M.W.","W.E.N."],"authorOrcid":["https://orcid.org/0000-0001-6246-0203","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of biogeochemical measurements of saltmarsh soil collected from 46 salt marshes across Scotland. Sites were chosen to represent contrasting habitats across Scotland, in particular sediment types, vegetation and sea level history. The data provide a quantitative measure of the dry bulk density, soil texture, organic matter content (LOI) and organic carbon present within surface soils (up to a depth of 10 cm). A total of 471 samples were collected, 157 of the samples were collected using modified syringe samplers as part of the citizen scientist programme CarbonQuest (Part of C-SIDE) these were supplemented by a further 109  samples from the C-SIDE team. The remaining 205 samples were collected using a soil corer (Gouge) as part of the C-SIDE sampling programme. The samples were processed for bulk density, soil texture, organic matter content using the Loss on Ignition (LOI) method and the organic carbon was quantified through elemental analysis. The data were collected to help create a detailed picture of saltmarsh carbon storage across Scotland.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1\n","documentType":"GEMINI_DOCUMENT","familyName":["Austin","Ruranska","Miller","Hindle","Ladd","Smeaton","Skov"],"fullName":["Austin, W.E.N.","Ruranska, P.","Miller, L.C.","Hindle, C.","Ladd, C.J.T.","Smeaton, C.","Skov, M.W."],"funder":["Natural Environment Research Council"],"givenName":["W.E.N.","P.","L.C.","C.","C.J.T.","M.W."],"grant":["NE/R010846/1"],"identifier":"81a1301f-e5e2-44f9-afe0-0ea5bb08010f","incomingCitationCount":1,"keyword":["Scotland","LOI","carbon","blue carbon","loss on ignition","organic carbon","organic matter","soil texture","bulk density","citizen science","soil","sediment","salt marsh","coastal","wetland","intertidal"],"keywordsOther":["Scotland","LOI","carbon","blue carbon","loss on ignition","organic carbon","organic matter","soil texture","bulk density","citizen science","soil","sediment","salt marsh","coastal","wetland","intertidal"],"licence":"Open government licence","lineage":"Soil cores were taken at each sampling location using a modified syringe corer (50ml) or a  soil corer (30mm Gouge). The location of the sample was recorded using GPS. Prior to analysis the samples were stored at -20 degrees Celsius at the University of St Andrews. Dry bulk density, soil texture, organic matter content and organic carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) file for ingestion into the EIDC.","locations":["POLYGON((-6.374 55.197, -6.374 59.22, -1.372 59.22, -1.372 55.197, -6.374 55.197))"],"metadataDate":"2026-05-11T18:08:07.000Z","orcid":["https://orcid.org/0000-0001-6544-3468","https://orcid.org/0000-0001-6246-0203","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-7204-3865"],"organisation":["University of St Andrews","Bangor University","The University Court of the University of St Andrews","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81a1301f-e5e2-44f9-afe0-0ea5bb08010f","10.5285/81a1301f-e5e2-44f9-afe0-0ea5bb08010f","doi:10.5285/81a1301f-e5e2-44f9-afe0-0ea5bb08010f"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of biogeochemical measurements of saltmarsh soil collected from 46 salt marshes across Scotland. Sites were chosen to represent contrasting habitats across Scotland, in particular sediment types, vegetation and sea level history. The data provide...","state":"published","supplementalName":["C-SIDE website"],"title":"Dry bulk density, loss on ignition and organic carbon content of surficial soils from Scottish salt marshes, 2018-2019","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"ukscape","dataFormat":["TIFF"],"description":"This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean per polygon probability as reported by the Random Forest classifier (see supporting information); Band 3 - purity - percentage of the polygon covered by the majority class. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. The 25m raster is the most detailed of the LCM1990 raster products both thematically and spatially, and it is used to derive the 1km products. LCM1990 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.\n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\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.\n","documentType":"LINK_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W."],"grant":["NE/R016429/1"],"identifier":"6d3916e8-1250-4002-87b4-95409bccc11f","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Land use","UK-SCAPE","Land Cover Map","Biodiversity","Land","Climate and land","Ecosystem restoration","Net zero greenhouse gas emissions","Maps"],"keywordsOther":["UK-SCAPE","Land Cover Map","Biodiversity","Land","Climate and land","Ecosystem restoration","Net zero greenhouse gas emissions","Maps"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The 25m raster product is the most detailed of the LCM1990 raster products, both thematically and spatially, and it is derived from the LCM1990 vector product. For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then 'imported' into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per-polygon for the 21 target classes; Band2 - mean per polygon probability as reported by the Random Forest classifier; Band 3 -percentage of polygon covered by the majority class.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-05-11T18:19:01.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-06-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d446589e-478f-4206-80ed-38a5ff4a7dc0","10.5285/d446589e-478f-4206-80ed-38a5ff4a7dc0","doi:10.5285/d446589e-478f-4206-80ed-38a5ff4a7dc0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 25m raster version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 25m raster product consists of three bands: Band 1 - raster representation of the majority (dominant) class per polygon for 21 target classes; Band 2 - mean...","state":"published","title":"Land Cover Map 1990 (25m raster, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","rhicha"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk/documents"}