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These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Clawson","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, A.","Brunt, J.","Clawson, S.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","A.","G.","P.","B.","M.","Y.","F.","L.","H.","I.","T."],"identifier":"5886c3ba-1fa5-49c0-8da8-40e69a10d2b5","incomingCitationCount":1,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental survey"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"These data are collected, using the British Trust for Ornithology (BTO)'s Breeding Bird Survey methodology, at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols.  \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:07:00.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0002-6631-0672"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Environmental Change Network","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5","10.5285/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5","doi:10.5285/5886c3ba-1fa5-49c0-8da8-40e69a10d2b5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Bird species data from the UK Environmental Change Network (ECN) terrestrial sites. 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The data includes physical elements in a city such as buildings, roads, and power networks, as well as social elements such as households and individuals. The dataset contains a maximum of 9 different data types, described below. For some cities power and road network data were not considered due to context specific priorities. \n\nlanduse: The land use plan data depicting how the land will be zoned and used in the next fifty years within the area or interest. The attributes include the land use type, areal coverage in hectares, maximum population density and existing population. \n\nbuilding: Data representing the building footprints that will emerge as a result of the future exposure generation procedure. It includes the attributes of the building such as its identifier number, construction type, number of floors, footprint area, occupation type and construction code level.\n\nroad nodes: Data representing the points where road segments (edges) are connected to each other, including the identifier number for each node.\n\nroad edges: Data representing the road segments, including the ID numbers of the starting and ending point (node).\n\npower nodes: Data representing the points where power lines (edges) are connected to each other, including the identifier number for each node.\n\npower edges: Data representing the power segments, including the including the ID numbers of the starting and ending point (node).\n\nhousehold: Data that contains social attributes of a household living in a building. The attributes include number of individuals, income level and commonly used facility ID (such as hospital). \n\nindividual: Data that contains the attributes of the individuals that are a part of a household. The attributes are age, gender, school ID (if relevant), workplace ID (if relevant) and last attained education level.\n\nDistribution table: The future projections for each city that identifies the socio-demographic changes and expected physical development in the next 50 years.\n\nThe data can be used in geospatial platforms. The nomenclature for the data is as follows:\n“CitynameFutureExposureDataset/Cityname_CommunityCode_DataType”. This dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1).","documentType":"GEMINI_DOCUMENT","familyName":["Menteşe","Özer","Rawal","Comelli","Cetin","Dabeek","Kyesii","Chengo","Zisan","Cubillo"],"fullName":["Menteşe, E.Y.","Özer, E.","Rawal, P.","Comelli, T.","Cetin, N.İ.","Dabeek, J.","Kyesii, A.","Chengo, V.","Zisan, B.","Cubillo, P."],"funder":["Natural Environment Research Council"],"givenName":["E.Y.","E.","P.","T.","N.İ.","J.","A.","V.","B."],"grant":["NE/S009000/1"],"identifier":"cdfea06f-d47c-4967-99d4-cc71bddea45d","incomingCitationCount":0,"keyword":["Environmental risk","Future","risk exposure","exposure","hazard","urban","Tomorrow's cities","GCRF Urban Disaster Risk Hub"],"keywordsOther":["Future","risk exposure","exposure","hazard","urban","Tomorrow's cities","GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"For generating the future exposure dataset for each city, a specific computational algorithm that takes into account the land use plan and user defined future projections is used. The algorithm is explained in detail by Mentese et al., 2023.\n\nThe production of the land use plan relies on a community based process, that includes different community groups’ involvement and participatory engagement. In these engagements, in each city, specific groups are identified with the guidance of local experts as part of the Tomorrow’s Cities Project. After the identification, experts from Tomorrow’s Cities Project, local experts and community representatives from the community groups gather for participatory spatial planning for their future urban contexts.\n\nThen, the produced land use plan is integrated (using the software algorithm) with the future socio-demographic projections and expected physical development defined by the local experts and existing literature on the context. As a result of this procedures, building data, socio-demographic datasets and network related data (where relevant) is produced.\n","locations":["POLYGON((-82.267 -13.582, -82.267 44.214, 77.696 44.214, 77.696 -13.582, -82.267 -13.582))"],"metadataDate":"2026-07-25T14:06:29.000Z","orcid":["0000-0002-7187-4384","0000-0003-3484-4183","0000-0001-7940-8014","0000-0003-3173-2602","0000-0002-8141-8112","0000-0001-8369-4105","0000-0002-7058-5070","0000-0001-5116-5874","0000-0002-6959-0235","0009-0009-6117-9466"],"organisation":["Anofa Engineering, Planning and Informatics Ltd.","National Society for Earthquake Technology","University College London","Gebze Technical University","An-Najah National University","Ardhi University","Africa Research and Impact Network","Chittagong University of Engineering & Technology","Centro de Informacion Urbana de Quito","NERC EDS Environmental Information Data Centre","University of Edinburgh"],"publicationDate":"2025-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cdfea06f-d47c-4967-99d4-cc71bddea45d","10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d","doi:10.5285/cdfea06f-d47c-4967-99d4-cc71bddea45d"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/058m30p27","https://ror.org/02jx3x895","https://ror.org/01sdnnq10","https://ror.org/0046mja08","https://ror.org/05k903r09","https://ror.org/052qsay17","https://ror.org/04xw4m193","https://ror.org/01nrxwf90"],"shortenedDescription":"This dataset includes synthetically produced data from 10 different cities (Istanbul, Nablus, Chattogram, Cox’s Bazaar, Nairobi, Nakuru, Quito, Kokhana, Rapti and Darussalam) for a future urban context. The data includes physical elements in a city such as buildings,…","state":"published","supplementalDescription":["Menteşe, E. Y., Cremen, G., Gentile, R., Galasso, C., Filippi, M. E., & McCloskey, J. (2023). Future exposure modelling for risk-informed decision making in urban planning. International Journal of Disaster Risk Reduction, 90, 103651."],"title":"Exposure datasets representing a synthetic future urban context, including socio-demographic, building, and land-use data from 10 cities, for natural hazard risk modelling","topic":["0/Environmental risk/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","James","Colin A","Jo","David B"],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to 2024), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).\n\nTrends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year.\n\nTrends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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\n#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"funder":["Natural Environment Research Council"],"givenName":["Marc S","Ian","James","Colin A","Jo","David B","Marc"],"identifier":"4cf966ef-4d8e-48de-8368-3a68faf6fbbf","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Lepidoptera","BReVI","Uinited Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsOther":["annual","butterflies","Lepidoptera","BReVI","Uinited Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Trends are calculated by performing a linear regression on the annual Collated Indices for each species. Indices are calculated for all species (across Wider Countryside Butterfly Survey squares and traditional UKBMS sites) using the Generalised Abundance Index (GAI) method developed in 2016 with an additional modification that the data from each site in each year is weighted in the final stage relative to the proportion of the species flight period surveyed that year for that site. They give a statistical measure of how the abundance of each species has changed on monitored sites since 1976, over the last 20 years, and over the last decade. Because the Collated indices are only calculated for each species in years in which there was sufficient data available, the starting year for the series is later than 1976 for a number of rarer species","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T09:58:39.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2025-12-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4cf966ef-4d8e-48de-8368-3a68faf6fbbf","10.5285/4cf966ef-4d8e-48de-8368-3a68faf6fbbf","doi:10.5285/4cf966ef-4d8e-48de-8368-3a68faf6fbbf"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"United Kingdom Butterfly Monitoring Scheme: species trends 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Vieno","Beck"],"authorFullName":["Sharps, K.","Vieno, M.","Beck, R."],"authorGivenName":["K.","M.","R."],"authorOrcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of a vector layer (based on 1 by 1degree grid), of modelled ozone flux (POD1IAM, mmol m-2), The values per grid cell are Phytotoxic Ozone Dose above a threshold of y (y=1 nmol m−2 sec−1 in this case) for use in large-scale Integrated Assessment Modelling (IAM). The accumulated flux value per 90-day grassland growing season (mid-April to mid-July) is provided per grid cell, for the year 2018, across the UK and USA.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Vieno","Beck"],"fullName":["Sharps, K.","Vieno, M.","Beck, R."],"funder":["Natural Environment Research Council","Global Environment Facility (GEF)","United Nations Environment Programme (UNEP)"],"givenName":["K.","M.","R."],"grant":["NE/R016429/1"],"identifier":"afadb068-7e35-4271-bf07-0227d0a7a10f","incomingCitationCount":0,"keyword":["flux","Phytotoxic Ozone Dose","EMEP model","ozone","air pollution","grassland"],"keywordsOther":["flux","Phytotoxic Ozone Dose","EMEP model","ozone","air pollution","grassland"],"licence":"Open government licence","lineage":"The ozone flux data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.\nFlux values are calculated from modelled hourly stomatal uptake and accumulated during daylight hours. Daily values were then summed for the 90-day grassland growing season (mid-April to mid-July), in the year 2018, for the UK and USA. Output data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.\n","locations":["POLYGON((-174.375 25.8, -174.375 71.525, 1.768 71.525, 1.768 25.8, -174.375 25.8))"],"metadataDate":"2026-07-25T13:24:36.000Z","orcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/afadb068-7e35-4271-bf07-0227d0a7a10f","10.5285/afadb068-7e35-4271-bf07-0227d0a7a10f","doi:10.5285/afadb068-7e35-4271-bf07-0227d0a7a10f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a vector layer (based on 1 by 1degree grid), of modelled ozone flux (POD1IAM, mmol m-2), The values per grid cell are Phytotoxic Ozone Dose above a threshold of y (y=1 nmol m−2 sec−1 in this case) for use in large-scale Integrated Assessment…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Modelled ozone flux for the grassland growing season in the UK and USA in 2018","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes"],"authorFamilyName":["Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac"],"authorFullName":["Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B."],"authorGivenName":["C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B."],"authorOrcid":["0000-0001-9997-6780","0000-0003-3313-7786","0000-0002-1116-222X","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16"],"availability":"Available","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland, Wales and Northern Ireland as well as for the UK and Great Britain (GB) where possible. These data were generated using observations of species collated by UK recording schemes and societies as the input data for a Bayesian occupancy model.  The outputs resulting from this modelling framework are presented in three forms:\n•\t1000 samples from the modelled posterior distribution of the proportion of occupied sites for each species for each year and for each region analysed.\n•\tSummary tables from the model outputs detailing mean occupancy and associated statistics including credible intervals and rhat measure of convergence.\n•\tDerived species trend estimates in the form of annual percentage growth rates.\n\nAnnual estimates derived from fine-grained data (1x1km squares) have not been determined for this set of species before, making this a unique dataset that broadens knowledge on UK biodiversity change. \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":["Outhwaite","Powney","August","Chandler","Rorke","Pescott","Harvey","Roy","Fox","Walker","Alexander","Ball","Bantock","Barber","Beckmann","Cook","Flanagan","Fowles","Hammond","Hepper","Hubble","Kramer","Lee","MacAdam","Morris","Norris","Palmer","Plant","Simkin","Stubbs","Sutton","Telfer","Wallace","Isaac","Outwaite"],"fullName":["Outhwaite, C.L.","Powney, G.D.","August, T.A.","Chandler, R.E.","Rorke, S.","Pescott, O.","Harvey, M.","Roy, H.E.","Fox, R.","Walker, K.","Roy, D.B.","Alexander, K.","Ball, S.","Bantock, T.","Barber, T.","Beckmann, B.C.","Cook, T.","Flanagan, J.","Fowles, A.","Hammond, P.","Harvey, P.","Hepper, D.","Hubble, D.","Kramer, J.","Lee, P.","MacAdam, C.","Morris, R.","Norris, A.","Palmer, S.","Plant, C.","Simkin, J.","Stubbs, A.","Sutton, P.","Telfer, M.","Wallace, I.","Isaac, N.J.B.","Outwaite, C."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","G.D.","T.A.","R.E.","S.","O.","M.","H.E.","R.","K.","D.B.","T.","B.C.","J.","A.","P.","D.","C.","I.","N.J.B.","Charlie"],"grant":["NE/R016429/1"],"identifier":"0ec7e549-57d4-4e2d-b2d3-2199e1578d84","incomingCitationCount":6,"keyword":["UK","GB","England","Scotland","Wales","Northern Ireland","Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsOther":["Occurrence","Trends","Range","lichen","bryophyte","invertebrate","UK-SCAPE"],"keywordsPlace":["UK","GB","England","Scotland","Wales","Northern Ireland"],"licence":"Open government licence","lineage":"These data were generated using observations of species occurrence as the input data for a Bayesian occupancy model.  The modelling framework implemented was based on that developed to improve precision of occupancy estimates when using biological records type data (Outhwaite et al., 2018; https://doi.org/10.1016/j.ecolind.2018.05.010).  This allowed the estimation of species occupancy for the largest set of UK species to date.\n\nThe input data used for this study consisted of species occurrence data collated from 29 UK recording schemes and societies.  These data are presence only data that consist of a record of a species at a known time and location.  Where possible, these input data were supplemented with additional occurrence data in the same form from the Biological Records Centre database and the wildlife recording app iRecord (https://www.brc.ac.uk/irecord/)\n\nThese input datasets were then standardized according to the requirements of the model and to desired coverage.  Observations of species had to meet the following criteria to be included in the final input dataset:\n- Date of the record known to the day\n- Location of the record known to 1x1km square precision\n- Record was from 1970 onwards\n- The location of the record was in the UK (strictly England, Northern Ireland, Scotland and Wales)\n\nSpecies names were checked with guidance from the scheme organisers, duplicate records were then removed from the dataset.\nThe occupancy modelling framework used here was based on the random walk model tested by Outhwaite et al., 2018.  Alterations made to the modelling framework include country level year effects in the state model and a categorical specification of list length in the detection model.  For a complete description of the model and the changes implemented, see the associated data paper.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:39:51.000Z","orcid":["0000-0001-9997-6780","0000-0003-3313-7786","0000-0002-1116-222X","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-4869-8052"],"organisation":["Centre for Ecology & Hydrology","University College London","Butterfly Conservation","Botanical Society of Britain and Ireland","Soldier Beetles, Jewel Beetles and Glow-worms Recording Scheme","Dipterists Forum, Hoverfly Recording Scheme","Terrestrial Heteroptera Recording Scheme","British Myriapod and Isopod Group","Aquatic Heteroptera Recording Scheme","Weevil and Bark Beetle Recording Scheme","Staphylinidae Recording Scheme","British Arachnological Society","British Dragonfly Society","Chrysomelidae Recording Scheme","Cranefly Recording Scheme","Riverfly Recording Scheme","Hoverfly Recording Scheme","Conchological Society of Great Britain and Ireland","Gelechiid Recording Scheme","Lacewings and Allies Recording Scheme","British Lichen Society","Grasshoppers and Related Insects Recording Scheme","Ground Beetle Recording Scheme","Riverfly Recording Schemes","Centre for Biodiversity and Environment Research, University College London (UCL)","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84","doi:10.5285/0ec7e549-57d4-4e2d-b2d3-2199e1578d84"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02jx3x895","https://ror.org/05jg03a59","https://ror.org/02krbn758","https://ror.org/050arpw16","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides annual estimates of species occupancy and species trend estimates in the form of growth rates for 5,293 UK invertebrate, bryophyte and lichen species for the period 1970 to 2015. Estimates are provided at the country level for England, Scotland,…","state":"published","supplementalDescription":["Outhwaite, C. L., Chandler, R. E., Powney, G. D., Collen, B., Gregory, R. D., & Isaac, N. J. B. (2018). Prior specification in Bayesian occupancy modelling improves analysis of species occurrence data. Ecological Indicators, 93, 333-343."],"supplementalName":["Shiny app","iRecord"],"temporalExtentText":"Data collected from 1970 to 2015","title":"Annual estimates of occupancy for bryophytes, lichens and invertebrates in the UK (1970-2015) ","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["British Trust for Ornithology","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Siriwardena","Taylor","Norfolk","Jones","Alison","Astbury","Burden","Emmett","Garbutt","Henrys","Owen","Smart","Sharps","Williams","Wood"],"authorFullName":["Siriwardena, G.M.","Taylor, R.M.","Norfolk, D.","Jones, K.","Alison, J.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Owen, A.","Smart, S.M.","Sharps, K.","Williams, B.","Wood, C.M."],"authorGivenName":["G.M.","R.M.","D.","K.","J.","S.","A.","B.A.","P.A.","S.M.","B.","C.M."],"authorOrcid":["0000-0003-2010-1186","0000-0003-3365-3908","0000-0002-6787-6192","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-3265-1505","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.\n\nThe field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Siriwardena","Taylor","Norfolk","Jones","Alison","Astbury","Burden","Emmett","Garbutt","Henrys","Owen","Smart","Sharps","Williams","Wood"],"fullName":["Siriwardena, G.M.","Taylor, R.M.","Norfolk, D.","Jones, K.","Alison, J.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Owen, A.","Smart, S.M.","Sharps, K.","Williams, B.","Wood, C.M."],"funder":["Welsh Government"],"givenName":["G.M.","R.M.","D.","K.","J.","S.","A.","B.A.","P.A.","S.M.","B.","C.M."],"identifier":"31da0a94-62be-47b3-b76e-4bdef3037360","incomingCitationCount":1,"keyword":["Wales","Glastir Monitoring and Evaluation Programme (GMEP)","Environmental survey","Biodiversity","agri-environment scheme","bird"],"keywordsOther":["agri-environment scheme","bird"],"keywordsPlace":["Wales"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Environmental survey","Biodiversity"],"licence":"Open government licence","lineage":"The surveys consisted of four (reduced to three from 2015-16 onwards) visits to each square by trained, professional surveyors using standardised protocols. Surveys were equally spaced through mid-March to mid-July. On each visit, the surveyor walked a route that passed within 50m of all parts of the survey square to which access had been secured, beginning at around 06:00 and taking up to five hours. Surveys were not conducted in conditions known to affect the detection of birds, i.e. strong winds and more than light rain. The survey route was started in different places on each visit, so that all areas were visited at least once before 08:00. All birds seen or heard were recorded on high-resolution field maps using standard BTO activity codes. Recording and standardizing route coverage (where surveyors actually walked) was important both between visits and to ensure comparable repeat coverage when squares are revisited.\n\nData were recorded on standard forms and field maps, which were collated in the British Trust for Ornithology (BTO) Wales office in Bangor and sent to the BTO head office for digital inputting, after being copied physically and electronically in Bangor.  Data were then digitized using ArcMap (versions up to v10.5).  The process included checking of uncertain counts, species codes and identifications, for which the digitizer checked the data with the surveyor if necessary, before making a judgement on likely record accuracy. Additional checks were intrinsic to subsequent data processing before being loaded into a final database at UKCEH.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-24T20:34:20.000Z","orcid":["0000-0003-2010-1186","0000-0003-3365-3908","0000-0002-6787-6192","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-2750-7832","0000-0003-3265-1505","0000-0002-0394-2998"],"organisation":["British Trust for Ornithology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31da0a94-62be-47b3-b76e-4bdef3037360","10.5285/31da0a94-62be-47b3-b76e-4bdef3037360","doi:10.5285/31da0a94-62be-47b3-b76e-4bdef3037360"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data set consists of bird species counts, recorded in 300 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).  The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir…","state":"published","supplementalDescription":["Glastir Monitoring and Evaluation Programme (GMEP)  website ","Website for related survey - Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP) ","Website for related national survey - Countryside Survey"],"supplementalName":["GMEP website","ERAMMP website","Countryside Survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Bird counts from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Swansea University","Université de Lausanne","NIRAS UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","Universidad de Cantabria Inicio"],"authorFamilyName":["Ladd","Cremin","Stolpmann","Balke","Vovides","Maza Fernandez"],"authorFullName":["Ladd, C.","Cremin, E.","Stolpmann, L.","Balke, T.","Vovides, A.","Maza Fernandez, M.E."],"authorGivenName":["Cai","Emilie","Lea","Thorsten","Alejandra","M.E."],"authorOrcid":["0000-0001-5437-6474","0000-0003-4732-2376","0000-0003-4251-9532","0000-0001-7733-5069","0000-0002-3293-5770"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/033n9gh91","https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","jpeg"],"description":"Raw acceleration data and images are provided for 20 locations spaced at ~500 m on the mudflat ~2 m in front of eroding or expanding edges of Caerlaverock saltmarsh, Solway Firth, Scotland. Acceleration data was gathered by the Mini Buoy (B4+ design) at rates of either 1 second (monthly redeployments) or 10 seconds (quarterly redeployments) between March 2021-2022. The data has been cleaned to remove any data gathered before/after deployment. Coordinates of each location and the status of the marsh edge (eroding or expanding), and images of the marsh edge at each Mini Buoy deployment are also present. The data is being used to identify hydrological thresholds (inundation duration, current and wave orbital velocities) that determine whether saltmarshes expand or erode.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Cremin","Stolpmann","Balke","Vovides","Maza Fernandez"],"fullName":["Ladd, C.","Cremin, E.","Stolpmann, L.","Balke, T.","Vovides, A.","Maza Fernandez, M.E.","Cai Ladd"],"funder":["Natural Environment Research Council"],"givenName":["Cai","Emilie","Lea","Thorsten","Alejandra","M.E."],"grant":["NE/S008926/1"],"identifier":"3845e060-2a43-4b7e-845a-726f54a4867d","incomingCitationCount":0,"keyword":["Environmental survey","Hydrology","Modelling","Saltmarsh","Hydrodynamics","Tipping points","Mini buoy","Caerlaverock","Scotland"],"keywordsOther":["Saltmarsh","Hydrodynamics","Tipping points","Mini buoy","Caerlaverock","Scotland"],"keywordsTheme":["Environmental survey","Hydrology","Modelling"],"licence":"Open government licence","lineage":"Data were obtained using Mini Buoys (acceleration data logger in a bottom-mounted float) between 01-03-2021 and 01-03-2022 at Caerlaverock saltmarsh, Solway Firth, Scotland. Caerlaverock is a dynamic saltmarsh undergoing areas of expansion and erosion - the deployment of Mini Buoys here allows identification of hydrological thresholds for expansion or erosion. B4+ Mini Buoys were deployed. Each individual logger sampled y-axis acceleration at 1Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard.\n\nIn total, 20 Mini Buoys were deployed - location data (as WGS84) are stored in Coordinates.csv. Acceleration data are stored in csv files and each contain acceleration measurements of an individual Mini Buoy (MB04, MB05, etc.) at a particular time period (i.e. Apr-May 2021; June-Sep 2021, etc.). There are 118 .csv Mini Buoy files in total. Data are provided as sub-minute measurements (DD/MM/YYYY HH:MM:SS) of acceleration date (Yacc) expressed as gravity-compensated acceleration values in g-force (G).\n\nImages are provided of each of the 20 Mini Buoy sites as .JPEG.\n\n1st processing stage only (to remove data before/after deployment). Future work will involve extracting metrics on inundation duration, current and wave orbital velocity values.","locations":["POLYGON((-3.575 54.962, -3.575 55.011, -3.424 55.011, -3.424 54.962, -3.575 54.962))"],"metadataDate":"2026-07-24T20:38:21.000Z","orcid":["0000-0001-5437-6474","0000-0003-4732-2376","0000-0003-4251-9532","0000-0001-7733-5069","0000-0002-3293-5770"],"organisation":["Swansea University","Université de Lausanne","NIRAS UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","Universidad de Cantabria Inicio","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3845e060-2a43-4b7e-845a-726f54a4867d","10.5285/3845e060-2a43-4b7e-845a-726f54a4867d","doi:10.5285/3845e060-2a43-4b7e-845a-726f54a4867d"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/053fq8t95","https://ror.org/033n9gh91","https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"Raw acceleration data and images are provided for 20 locations spaced at ~500 m on the mudflat ~2 m in front of eroding or expanding edges of Caerlaverock saltmarsh, Solway Firth, Scotland. Acceleration data was gathered by the Mini Buoy (B4+ design) at rates of either…","state":"published","supplementalDescription":["This dataset is part of a wider Mini Buoy series - where acceleration and hydrodynamics data were recorded across the Indian Ganges Brahmaputra Meghna, Mekong and Red River Deltas. Mini Buoys offer a practical and open-source way to assess the hydrological dynamics (in terms of inundation, currents and waves) of mangrove forest - allowing assessment of suitability of mangrove plantation schemes. Mini Buoys cost less than $400 to assemble, and the material to build one can be purchased around the globe.","Data can also be uploaded as part of an App, where anyone can upload Mini Buoy data and find out if a mangrove site is suitable for restoration."],"temporalExtentText":"Data collected from 2021 to 2022","title":"Hydrological data for 20 locations spaced at 500m intervals along Caerlaverock saltmarsh (UK) between March 2021 and 2022","topic":["0/Environmental survey/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Edinburgh"],"authorFamilyName":["Vale","Kutzer"],"authorFullName":["Vale, P.","Kutzer, M."],"authorGivenName":["P.","M."],"authorOrcid":["0000-0003-4558-9202","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":"2026-07-25T06:45:20.000Z","orcid":["0000-0003-4558-9202","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":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Billings","Daunt","Grant","Olszewska","Pickard","Bogdanova","Sleep","Pereira"],"authorFullName":["Billings, A.","Daunt, F.","Grant, A.","Olszewska, J.P.","Pickard, A.","Bogdanova, M.I.","Sleep, D.","Pereira, M.G."],"authorGivenName":["Alex","Francis","Alanna","Justyna P.","Amy","Maria I.","Darren","M. Glória"],"authorOrcid":["0000-0002-8042-5599","0000-0003-4638-3388","0009-0005-7203-3260","0000-0002-4910-2206","0000-0003-1069-3720","0000-0003-3740-0019"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises the concentrations of per- and polyfluoroalkyl substances (PFASs) measured in bed sediments collected from the Forth estuary in Scotland in 2020-2021, in addition to the north Aberdeenshire coastline in 2023. Bed sediment samples (n=151) were collected from November 2020 to July 2021 from the Forth estuary in Scotland, UK. Two sampling areas in the estuary were selected, covering the inner estuary (towards the head of the estuary), and the outer estuary (sites closer to the estuary mouth). Bed sediment samples (n=8) were also collected in February 2023 from sites off the coast of North Aberdeenshire, Scotland, UK using the same sample collection methodology. \n\nThese data were collected as part of the Natural Environment Research Council (NERC) funded project entitled Uptake of chemicals from legacy waste sites in coastal food webs and effects on higher predators (NERC reference NE/T003596/1).","documentType":"GEMINI_DOCUMENT","familyName":["Billings","Daunt","Grant","Olszewska","Pickard","Bogdanova","Sleep","Pereira"],"fullName":["Billings, A.","Daunt, F.","Grant, A.","Olszewska, J.P.","Pickard, A.","Bogdanova, M.I.","Sleep, D.","Pereira, M.G."],"funder":["Natural Environment Research Council"],"givenName":["Alex","Francis","Alanna","Justyna P.","Amy","Maria I.","Darren","M. Glória","Alex "],"grant":["NE/T003596/1"],"identifier":"47b4224a-5446-4bba-b787-41588abef3af","incomingCitationCount":0,"keyword":["Pollution","Environmental survey","estuary","estuary pollution","halogenated pollutant","persistent organic pollutant","per- and polyfluoroalkyl substances (PFASs)","sediment"],"keywordsOther":["Environmental survey","estuary","estuary pollution","halogenated pollutant","persistent organic pollutant","per- and polyfluoroalkyl substances (PFASs)","sediment"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"A 250 cm2 Van Veen grab sampler was used to collect bed surface sediment samples at a range of water column depths (2-57 m). All samples were stored in glass containers at -20 °C. Sediment samples were analysed for a suite of 15 per- and polyfluoroalkyl substances (PFASs). Analytes were extracted from the sediments using microwave extraction. Sample clean-up was carried out with Envirocarb carbon black. PFASs were analysed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Quantification of all analytes was carried out using 13C-labelled and 18O-labelled internal standards and calibration curves of unlabelled analyte standards. All concentrations were blank-corrected where necessary, and are reported in ng g-1 ww (wet weight).","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-09-25T12:32:55.000Z","orcid":["0000-0002-8042-5599","0000-0003-4638-3388","0009-0005-7203-3260","0000-0002-4910-2206","0000-0003-1069-3720","0000-0003-3740-0019"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47b4224a-5446-4bba-b787-41588abef3af","10.5285/47b4224a-5446-4bba-b787-41588abef3af","doi:10.5285/47b4224a-5446-4bba-b787-41588abef3af"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises the concentrations of per- and polyfluoroalkyl substances (PFASs) measured in bed sediments collected from the Forth estuary in Scotland in 2020-2021, in addition to the north Aberdeenshire coastline in 2023. Bed sediment samples (n=151) were…","state":"published","temporalExtentText":"Data collected from 2020 to 2021; Data collected from 2023 to 2023","title":"Concentrations of per- and polyfluoroalkyl substances (PFASs) in sediments of the Forth estuary, 2020-2021, and north Aberdeenshire coastline, 2023, Scotland","topic":["0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Winfield","Fletcher"],"authorFullName":["Winfield, I.J.","Fletcher, J.M."],"authorGivenName":["I.J.","J.M."],"authorOrcid":["0000-0001-9296-5114","0000-0002-8788-8449"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of monthly mean inshore surface water temperature (degrees C) data from Windermere, a lake in northern England. Data collection began in 1933, but data are presented here from 1946 onwards. The data were initially collected by the Freshwater Biological Association (FBA), then by CEH and its predecessor Institute of Freshwater Ecology (IFE) from 1989 to 2003, and subsequently again by FBA. ","documentType":"GEMINI_DOCUMENT","familyName":["Winfield","Fletcher","Feuchtmayr"],"fullName":["Winfield, I.J.","Fletcher, J.M.","Feuchtmayr, H."],"givenName":["I.J.","J.M.","H."],"identifier":"453fdf49-7328-42ec-94b7-1cebf06c51e2","incomingCitationCount":1,"keyword":["Lake District","monthly"],"keywordsOther":["monthly"],"keywordsPlace":["Lake District"],"licence":"Non-Open government licence","lineage":"Daily inshore surface water temperature from Windermere has been collected since 1933, but is presented here from 1946 onwards. The data were initially collected by the Freshwater Biological Association (FBA), then by CEH and its predecessor Institute of Freshwater Ecology (IFE) from 1989 to 2003, and subsequently again by FBA. Please see supporting documentation for further information. ","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"metadataDate":"2026-09-15T08:39:32.000Z","orcid":["0000-0001-9296-5114","0000-0002-8788-8449"],"organisation":["Freshwater Biological Association","Natural Environment Research Council","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-08-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1413902256407","CEH:EIDC::1413902256407","https://catalogue.ceh.ac.uk/id/453fdf49-7328-42ec-94b7-1cebf06c51e2","10.5285/453fdf49-7328-42ec-94b7-1cebf06c51e2","doi:10.5285/453fdf49-7328-42ec-94b7-1cebf06c51e2"],"resourceType":"Dataset","ror":["https://ror.org/02j85cg51","https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of monthly mean inshore surface water temperature (degrees C) data from Windermere, a lake in northern England. Data collection began in 1933, but data are presented here from 1946 onwards. The data were initially collected by the Freshwater Biological…","state":"published","temporalExtentText":"Data collected from 1946 to 2012","title":"Windermere monthly temperatures 1946-2012","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Lancaster University","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Chappell","Mindham","McShane","Beven"],"authorFullName":["Chappell, N.A.","Mindham, D.","McShane, G.","Beven, K.J."],"authorGivenName":["N.A.","D.","G.","K.J."],"authorOrcid":["0000-0001-6683-951X","0000-0002-9818-1465","0000-0001-7465-3934"],"authorRor":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall to discharge response of these basins has been modelled with the RIV algorithm of the CAPTAIN Toolbox (Taylor et al., 2007 doi.org/10.1016/j.envsoft.2006.03.002). The resultant modelled characteristics of the rainfall-discharge dynamics are presented on an event-by-event basis.","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Mindham","McShane","Beven"],"fullName":["Chappell, N.A.","Mindham, D.","McShane, G.","Beven, K.J."],"funder":["Natural Environment Research Council","Environment Agency"],"givenName":["N.A.","D.","G.","K.J.","Nick A "],"grant":["NE/R004722/1"],"identifier":"ea641367-dc35-4695-97b8-63f7d6fa9105","incomingCitationCount":0,"keyword":["rain gauge","Cumbria","Hydrology","Q-NFM","C-NFM","flume","discharge","natural flood management","NFM","nature-based solution","NbS","flood","resilience","model","CAPTAIN toolbox","transfer function","hydrograph","storm","micro-basin","runoff","rainfall","atmospheric precipitation"],"keywordsInstrument":["rain gauge"],"keywordsOther":["Q-NFM","C-NFM","flume","discharge","natural flood management","NFM","nature-based solution","NbS","flood","resilience","model","CAPTAIN toolbox","transfer function","hydrograph","storm","micro-basin","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"Observed stream discharge data per unit micro-basin area (mm/15min) were modelled from observed rainfall data from a single raingauge within the micro-basin (mm/15min). \n\nThe simulated discharge time-series (mm/15min) was modelled using the RIVSID algorithms of the CAPTAIN Toolbox (https://wp.lancs.ac.uk/captaintoolbox) that represent dynamics in the form of Transfer Functions. RIVSID is an abbreviation of ‘Refined Instrumental Variable System Identification’ algorithms. These algorithms are available for optimal RIV estimation of multiple-input, discrete-time and hybrid continuous-time Transfer Function models. Details of how to use RIVSID within the Matlab programming environment are given at: https://eprints.lancs.ac.uk/id/eprint/86904/4/CAPTAIN_Getting_Started.pdf. The derived Transfer Function characteristics, sometimes called ‘Dynamic Response Characteristics’ or DRCs, of Time Constant, Steady State Gain and Pure Time Delay. The Time Constant is the transfer time of the propagating flood wave (i.e., celerities) through the catchment (Cheng et al. 2023. Water Resources Research, 59: e2022WR033625, https://doi.org/10.1029/2022WR033625). The Steady State Gain a rainfall-runoff system is simply the simulated runoff coefficient (Chappell et al., 2006. For. Ecol. Manage. 224, 58-80, https://doi.org/10.1016/j.foreco.2005.12.008). The Pure Time Delay in simple terms is the time between a rainfall input and the first discharge response (Chappell et al., 2012. IAHS Publication 353, IAHS Press. 82-93, http://iahs.info/redbooks/a353/iahs_353_0082.pdf). Full and complex explanation of the Transfer Function identification is given within Box, G.E.P, Jenkins, G.M. and Reinsel, G.C. 2008. Time Series Analysis. John Wiley and Sons, pp746.\n\nFor the specific application of RIVSID, each discharge hydrograph event was modelled separately. The characteristics of each simulated discharge hydrograph were then derived from the simulated stream discharge data per unit micro-basin area (mm/15min) also within the Matlab programming environment. \n\nFor fine technical details of how RIVSID was applied to the specific micro-basins, please see Mindham, D., Beven, K. and Chappell, N. 2023. Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. Hydrology Research, 54(2): 233-244. https://doi.org/10.2166/nh.2023.115\n","locations":["POLYGON((-3.653 54.049, -3.653 55.154, -2.554 55.154, -2.554 54.049, -3.653 54.049))"],"metadataDate":"2026-07-25T14:51:51.000Z","orcid":["0000-0001-6683-951X","0000-0002-9818-1465","0000-0001-7465-3934"],"organisation":["Lancaster University","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea641367-dc35-4695-97b8-63f7d6fa9105","10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105","doi:10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall…","state":"published","title":"Modelled dynamic response characteristics of selected micro-basins in the UK","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid"],"authorFamilyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"authorFullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D."],"authorGivenName":["C.J.","S.","J.R.","A.J.","D."],"authorOrcid":["0000-0003-2175-1842","0000-0001-7480-5758","0000-0003-4957-2774","0000-0001-7043-227X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Plain text","Comma-separated values (CSV)","R"],"description":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years 2018 to 2050. These scenarios include: “baseline” where we assumed the 32 years of flow from 2018 to 2050 matched the preceding 32-year period; and “plus 10, 20, 30, 40 & 50%” where we assumed daily averaged flow magnitudes increased by 10, 20, 30, 40 or 50%, depending on the scenario. Simulations were run using the CAESAR-Lisflood landscape evolution model. Input files that were used to drive the simulations include a 15-metre resolution DEM covering a ~4.5 km long reach of river valley, and daily-averaged flow inputs (m3 s-1). Landscape changes over time were extracted at the locations of each electricity transmission tower, with the severity of erosion used to judge the relative risks of each tower from future climate change.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S01697X/1) as part of the project: ‘Erosion Hazards in River Catchments: Making Critical Infrastructure More Climate Resilient’.","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Godfrey","Cooper","Plater","Dodds"],"fullName":["Feeney, C.J.","Godfrey, S.","Cooper, J.R.","Plater, A.J.","Dodds, D.","Feeney, C."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","S.","J.R.","A.J.","D.","Christopher"],"grant":["NE/S01697X/1","NE/R016429/1"],"identifier":"78bc21a9-39e0-4efc-992c-5587439fe6be","incomingCitationCount":1,"keyword":["Environmental risk","CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsOther":["CAESAR-Lisflood","erosion","hazard","climate change","river","floodplain","infrastructure","electricity"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Historic river channel changes were quantified for the years 1976-2018 by digitising channel boundaries from old Ordnance Survey maps and aerial imagery. Floodplain erosion and deposition rates (m2 yr-1) were estimated by overlaying the digitised channel features to create a time-series of landscape evolution. The years 1976-2018 represent a combined overlapping record where we have available OS maps and aerial imagery, as well as continuous recorded daily-averaged flow data for the Ashton Weir (station no. 69007) from the National River Flow Archive. The CAESAR-Lisflood model was calibrated using this historic flow series and a modified version of a LiDAR DEM from the Environment Agency. Simulation results during calibration were compared against digitised historic channel changes, with the 2 best results chosen for simulation of future flow scenarios. A total of 12 simulations was run to determine which of 40 electricity transmission towers would be at greatest risk from river channel erosion. These 12 simulations consist of the 2 calibrated models × 6 hypothetical future flow scenarios.\n\nThe CAESAR-Lisflood model simulates processes using deterministic algorithms. This means that without changing inputs, the model can be run repeatedly and return an identical result. Input files necessary to run the CAESAR-Lisflood model are included in this dataset so that this repeatability can be independently verified. R code is also provided to allow the user to reproduce most of the analyses reported in the associated paper.\n\nRiver channel change is a “chaotic” process, which means prediction of its future dynamics is riddled with uncertainties. Added to this, our chosen flow scenarios are hypothetical, and constructed by multiplying the most recent historical 32-year flow record by 1-1.5 depending on the scenario. Thus, care should be taken when interpreting our results. We suggest that we can accurately pinpoint which towers are most at risk from future erosion, but not the exact timings of these risks.","locations":["POLYGON((-2.4 53.43, -2.4 53.46, -2.34 53.46, -2.34 53.43, -2.4 53.43))"],"metadataDate":"2026-07-25T06:54:55.000Z","orcid":["0000-0003-2175-1842","0000-0001-7480-5758","0000-0003-4957-2774","0000-0001-7043-227X"],"organisation":["UK Centre for Ecology & Hydrology","University of Liverpool","National Grid","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78bc21a9-39e0-4efc-992c-5587439fe6be","10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be","doi:10.5285/78bc21a9-39e0-4efc-992c-5587439fe6be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about predicted future erosion hazards to electricity transmission towers at a site in the Mersey River valley. River channel change and floodplain erosion rates were simulated under 6 hypothetical flow scenarios, covering the years…","state":"published","supplementalDescription":["If the user wishes to recreate the model outputs, they will need to use the CAESAR-Lisflood model, which is available from:\n\nWe would also recommend using version 4 of R to run any of the R scripts"],"temporalExtentText":"Data collected from 2018 to 2050","title":" Predicted erosion hazards to electricity transmission towers in the Mersey River valley under hypothetical future flow scenarios, 2018-2050","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Chaplow","Beresford","Barnett"],"authorFullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"authorGivenName":["J.S.","Nick A.","C.L."],"authorOrcid":["0000-0002-8058-8697","0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology (ITE). National level vegetation surveys were conducted in May 1986, October 1986 and Spring 1987. More intensive surveys of vegetation (grass and heather) and wildlife (grouse, fox, etc.) in restricted areas were carried out in Cumbria, Wales and North Yorkshire in 1989, 1990, 1991 and 1993. Surveys of fungi were carried out between 1994 and 1997. The data are suitable for interpolation to create spatially variable surfaces suitable for input into models.","documentType":"GEMINI_DOCUMENT","familyName":["Chaplow","Beresford","Barnett"],"fullName":["Chaplow, J.S.","Beresford, N.A.","Barnett, C.L."],"givenName":["J.S.","Nick A.","C.L."],"identifier":"d0a6a8bf-68f0-4935-8b43-4e597c3bf251","incomingCitationCount":3,"keyword":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone","Pollution","Radioecology","radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsOther":["radioecology","radionuclide","radiocaesium","heather","COMET","TREE","Chornobyl","grass","wildlife","vegetation","soil","fungus","deposition","radioactive contamination","accident"],"keywordsPlace":["North Wales","Great Britain","Yorkshire","Chornobyl exclusion zone"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"Vegetation was clipped from 1 metre squared quadrats to a height of 1 centimetre above ground level. Samples were dried at 80 degrees centigrade, weighed, ground and counted in plastic containers (130 millilitre) on a NaI(T1) detector to determine the radiocaesium activity. The most active samples were recounted on a high resolution germanium detector. Soil type was noted at each site (Soil survey 1983). Soil samples were allocated to a series of textural categories (Clay (particles of less than 2 m in diameter); Silt (particles of 2-40 micron diameter); Sand (particles of 50 micron -2millimetre diameter); Organic (humified plant material); Loam (significant quantities of material from 3 or more categories). Soil pH was determined using an antimony electrode pH meter. Animal samples consisted of necks and rumen contents from 70 red deer (Cervus elaphus), whole bodies of three species of lagomorphs (25 rabbits (Oryctolagus cuniculus) and 2 black hares (Lepus capensis), two species of grouse (13 red grouse (Lagopus lagopus), 4 black game (Tetrao tetrix), and 22 foxes (Vulpes vulpes) totalling 141 flesh and 94 gut samples. Samples of flesh were removed from the neck of the deer, from the legs and back of the hares, rabbits and foxes, and from the breast muscle of the grouse. These were weighed fresh and placed in standard counting containers which were kept in a deep freeze until required for analysis. Each sample was thawed for 24 hours prior to counting. Samples were analysed by high resolution gamma spectrometry using either hyperpure germanium or germanium lithium detectors with relative efficiencies of 20 to 25 percent. Counting times varied between 25k to 80k seconds. Detectors were calibrated. The column headings for Easting, Northing and Sampling_date' in dataset 4 are labelled incorrectly. The correct order should be column C Sampling_date, column D Easting, column E Northing.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:39:00.000Z","orcid":["0000-0002-8058-8697","0000-0002-8722-0238"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1409748590053","CEH:EIDC::1409748590053","https://catalogue.ceh.ac.uk/id/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251","doi:10.5285/d0a6a8bf-68f0-4935-8b43-4e597c3bf251"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise radiocaesium concentrations in soil, vegetation, wildlife and fungi analysed from samples collected from throughout Great Britain after the 1986 Chernobyl accident by the Centre for Ecology & Hydrology (CEH), formerly the Institute of Terrestrial Ecology…","state":"published","supplementalDescription":["Howard, B. J., Beresford, N. A., Burrow, L., Shaw, P. V., & Curtis, E. J. C. (1987). A comparison of caesium 137 and 134 activity in sheep remaining on upland areas contaminated by Chernobyl fallout with those removed to less active lowland pasture. Journal of the Society for Radiological Protection, 7(2), 71-73.","Horrill, A.D.; Howard, D.M. (1991).  Chernobyl fallout in three areas of upland pasture in West Cumbria. Journal of Radiological Protection, 11 (4). 249-257. ","Howard, B. J., & Beresford, N. A. (1989). Chernobyl radiocaesium in an upland sheep farm ecosystem. British Veterinary Journal, 145(3), 212-219. ","Dighton, J., & Horrill, A. D. (1988). Radiocaesium accumulation in the mycorrhizal fungi Lactarius rufus and Inocybe longicystis, in upland Britain, following the Chernobyl accident. Transactions of the British Mycological Society, 91(2), 335-337. ","Horrill, A.D.; Lowe, V.W.; Howson, G.. 1988 Chernobyl fallout in Great Britain. Final report. NERC/Institute of Terrestrial Ecology, 55pp. (T07006e1) (Unpublished)","Beresford, N. A., Howard, B. J., Barnett, C. L., & Crout, N. M. J. (1992). The uptake by vegetation of chernobyl and aged radiocaesium in upland West Cumbria. Journal of Environmental Radioactivity, 16(2), 181-195. ","Howard B. J.; Beresford, N. A.; Hove, K. (1991).  Transfer of Radiocaesium to Ruminants in Natural and Semi-natural Ecosystems and Appropriate Countermeasures. Health Physics 61, 6.","Wright, S. M., Smith, J. T., Beresford, N. A., & Scott, W. A. (2003). Monte-Carlo prediction of changes in areas of west Cumbria requiring restrictions on sheep following the Chernobyl accident. Radiation and Environmental Biophysics, 42(1), 41-47. ","Smith, J. T., Comans, R. N. J., Beresford, N. A., Wright, S. M., Howard, B. J., & Camplin, W. C. (2000). Chernobyl's legacy in food and water. Nature, 405(6783), 141-141. ","Beresford, N. A., Barnett, C. L., Wright, S. M., Howard, B. J., & Crout, N. M. J. (2007). Factors contributing to radiocaesium variability in upland sheep flocks in west Cumbria (United Kingdom). Journal of Environmental Radioactivity, 98(1-2), 50-68. "],"supplementalName":["Journal paper"],"temporalExtentText":"Data collected from 1986 to 1997","title":"Post Chernobyl surveys of radiocaesium in soil, vegetation, wildlife and fungi in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Nottingham","British Geological Survey"],"authorFamilyName":["Izquierdo","Young","Bailey","Crout","Chenery","Shaw"],"authorFullName":["Izquierdo, M.","Young, S.","Bailey, E.","Crout, N.","Chenery, S.","Shaw, G."],"authorGivenName":["Maria","Scott","E.","Neil","S.","George"],"authorOrcid":["0000-0002-2283-7202","0000-0002-3371-7185","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-4096-0183"],"authorRor":["https://ror.org/01ee9ar58","https://ror.org/04a7gbp98"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for ca. 1.7 years.\n\nThe long term behaviour of U in aerobic soils was studied by conducting a laboratory-based experiment in which a set of twenty topsoils from central England with contrasting properties (e.g. pH, organic matter content, land use) were contaminated with a solution containing UO22+ in soluble form and incubated in the dark, in a moist but aerobic condition, at a temperature of 10 deg C for 619 days. The transformations of U in each soil microcosm were periodically monitored by means of soil extractions conducted on subsamples of incubated soils.\n\nThe resulting dataset enabled quantification of the kinetics of UO22+ transformations in aerobic soils and the relationships with soil properties and land uses (arable, grassland and moorland/woodland). The dataset will be useful in developing models of long-term U bioavailability in aerobic soils under temperate conditions. ","documentType":"GEMINI_DOCUMENT","familyName":["Izquierdo","Young","Bailey","Crout","Chenery","Shaw"],"fullName":["Izquierdo, M.","Young, S.","Bailey, E.","Crout, N.","Chenery, S.","Shaw, G."],"givenName":["Maria","Scott","E.","Neil","S.","George"],"identifier":"0d8b2aea-574c-4cff-a8bd-17115a0b90fc","incomingCitationCount":0,"keyword":["Chernobyl","Chornobyl","Soil","Radioecology","Incubation","Aerobic soils","uranium","aerobic process","soil"],"keywordsOther":["Incubation","Aerobic soils","uranium","aerobic process","soil"],"keywordsPlace":["Chernobyl","Chornobyl"],"keywordsTheme":["Soil","Radioecology"],"licence":"Open government licence","lineage":"At each sampling time, a portion of ca. 4g soil from each microcosm was equilibrated with 0.01 M KNO3 to quantify the soluble U. The chemically exchangeable and isotopically exchangeable fractions of U were determined by equilibrating another portion of ca. 2g soil with 1 M Mg(NO3)2 containing a known amount of the isotopic tracers 233UO22+ and 236UO22+. Soil extracts were analysed using a Thermo Fisher Scientific iCAP-Q ICP-MS. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:01:46.000Z","orcid":["0000-0002-2283-7202","0000-0002-3371-7185","0000-0002-5266-3792","0000-0001-7394-5070","0000-0002-4096-0183"],"organisation":["University of Nottingham","British Geological Survey","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0d8b2aea-574c-4cff-a8bd-17115a0b90fc","10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc","doi:10.5285/0d8b2aea-574c-4cff-a8bd-17115a0b90fc"],"resourceType":"Dataset","ror":["https://ror.org/01ee9ar58","https://ror.org/04a7gbp98","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprise measurements of the 'soluble', 'chemically exchangeable' and 'isotopically exchangeable' U concentrations in a diverse set of soils following experimental addition of UO22+ and incubation in the laboratory under controlled temperature conditions for…","state":"published","temporalExtentText":"Data collected from 2014 to 2017","title":"Time series of uranium transformations in aerobic soils following experimental addition of uranyl ion","topic":["0/Soil/","0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Stagl","Warnaars"],"fullName":["Stagl, S.","Warnaars, T."],"givenName":["S.","Tanya"],"identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T06:43:02.000Z","organisation":["University of Sussex","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315213681382","CEH:EIDC::1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceType":"Dataset","ror":["https://ror.org/00ayhx656","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"temporalExtentText":"Data collected from 1911 to 2001","title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Southampton"],"authorFamilyName":["Wood","Hawkins","Godbold","Solan"],"authorFullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"authorGivenName":["C.L.","S.J.","J.A.","M."],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details macrofaunal abundance across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals counted. Values for macrofaunal abundance are expressed as number of individuals per square metre of sediment.\n\nAbundance data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (winter) and across all sites, but only at the 1m scale.\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":["Wood","Hawkins","Godbold","Solan"],"fullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.J.","J.A.","M.","Martin"],"grant":["NE/J015644/1"],"identifier":"d5317679-449f-4829-9caf-39973fe27c07","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","macrofauna","season","spatial scale","species","intertidal zone","sediment","salt marsh","benthic ecosystem","biodiversity","ecological abundance","mud flat","Macona balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsOther":["macrofauna","season","spatial scale","species","intertidal zone","sediment","salt marsh","benthic ecosystem","biodiversity","ecological abundance","mud flat","Macona balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"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).\n\n3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon) and stored in vials containing 70 percent IMS. The individual numbers of each taxa were counted to give abundance data. This was determined by the presence of a head in cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots and their presence noted as YES/NO for abundance). The data were then multiplied by 127.323955 and rounded to the nearest whole individual to give results in metre squared.","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-09-15T08:39:35.000Z","organisation":["University of Southampton","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d5317679-449f-4829-9caf-39973fe27c07","10.5285/d5317679-449f-4829-9caf-39973fe27c07","doi:10.5285/d5317679-449f-4829-9caf-39973fe27c07"],"resourceType":"Dataset","rightsHolder":["University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details macrofaunal abundance across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal abundance in mudflat and saltmarsh habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["MacGregor","Ioannou"],"authorFullName":["MacGregor, H.E.A.","Ioannou, C.C."],"authorGivenName":["H.E.A.","C.C."],"authorOrcid":["0000-0001-5379-8392","0000-0002-9739-889X"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files.\n\nThe research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world\n\nAll procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060).","documentType":"GEMINI_DOCUMENT","familyName":["MacGregor","Ioannou"],"fullName":["MacGregor, H.E.A.","Ioannou, C.C."],"funder":["Natural Environment Research Council"],"givenName":["H.E.A.","C.C."],"grant":["NE/P012639/1 "],"identifier":"08305a43-79b5-432f-ad20-2ddffe0d1077","incomingCitationCount":0,"keyword":["Animal behaviour","Shoaling","Collective behavior","fish","animal behaviour"],"keywordsOther":["Shoaling","Collective behavior","fish","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The fish were filmed in a tank from above with a high resolution video camera at 25 frames per second. File resolution was reduced for video tracking. Cartesian coordinates expressed in units of pixels were generated from automated two-dimensional tracking software and are presented as text (.txt) files.","metadataDate":"2026-07-24T18:57:10.000Z","orcid":["0000-0001-5379-8392","0000-0002-9739-889X"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08305a43-79b5-432f-ad20-2ddffe0d1077","10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077","doi:10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated…","state":"published","supplementalDescription":["MacGregor, H.E.A., Herbert-Read, J.E. & Ioannou, C.C. Information can explain the dynamics of group order in animal collective behaviour. Nature Communications 11, 2737 (2020). "],"temporalExtentText":"Data collected from 2017 to 2017","title":"Time series of trajectory data for individual three-spined sticklebacks (Gasterosteus aculeatus) swimming in groups of eight individuals","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Plymouth","University of Twente"],"authorFamilyName":["Sgarabotto","Manzella","Raby"],"authorFullName":["Sgarabotto, A.","Manzella, I.","Raby, A."],"authorGivenName":["A.","I."],"authorOrcid":["0000-0002-4740-784X","0000-0001-7518-819X","0000-0002-8959-0080"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/006hf6230"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements from smart sensors monitoring the motion state of a physical analogue of a Large Wood (LW) dam in laboratory experiments. The smart sensors were equipped with an accelerometer, gyroscope and magnetometer and they recorded angular velocity, total acceleration, and the magnetic field. These data were used to calculate the linear acceleration and gravity acceleration which are also provided in this dataset. Three factors were changed during the experiment: inclination, constraint configuration, and flow conditions. The experiments were repeated 10 times.  ","documentType":"GEMINI_DOCUMENT","familyName":["Sgarabotto","Manzella","Raby"],"fullName":["Sgarabotto, A.","Manzella, I.","Raby, A."],"funder":["Natural Environment Research Council"],"givenName":["A.","I."],"identifier":"94aa98b2-b7f7-42c8-81ad-3085d0151eff","incomingCitationCount":0,"keyword":["smart sensors","large wood","large woody debris dam"],"keywordsOther":["smart sensors","large wood","large woody debris dam"],"licence":"Open government licence","lineage":"The physical analogue model of an LW dam was composed of a single hollow wooden dowel installed in a flume using a supporting frame. Two aluminium connections placed at the ends of the wooden dowel were used to mount the wooden dowel on the supporting frame and meant simple modes of movements could be singled out, namely rotation, vertical displacements, and horizontal displacements.\n\nThe motion of the LW dam under a range of different conditions was monitored using an accelerometer, gyroscope and magnetometer which were installed within the longitudinal borehole of the wooden dowel. The accelerometer and gyroscope had an acquisition frequency set at 59.5 Hz, whereas the magnetometer recorded at 5 Hz.  The sensor was equipped with an additional accelerometer measuring continuously; when the acceleration exceeded the user-defined threshold set at 390 mg, the sensor activated and started recording. Each experiment was repeated 10 times and the raw data from each of these experiments were stored in the ‘df_UC.csv’ files.\n\nThe raw data were processed to produce the measurements in the ‘df_UC_cal.csv’ files. First, the magnetometer data were upsampled to keep the same number of entries for each sensor. Second, each sensor was calibrated. Third, the orientation angles were computed combining the readings of accelerometer, gyroscope, and magnetometer by a built-in function from the Python library AHRS (Attitude and Heading Reference System). Gravity compensation was applied to derive linear acceleration and gravity acceleration. The total, linear and gravity acceleration in the earth system along the x and y direction were also calculated using simple transformations. More details are available in the ReadMe.docx.\n","metadataDate":"2026-07-25T10:18:14.000Z","orcid":["0000-0002-4740-784X","0000-0001-7518-819X","0000-0002-8959-0080"],"organisation":["University of Plymouth","University of Twente","NERC EDS Environmental Information Data Centre","University of Exeter","University of East Anglia"],"publicationDate":"2023-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/94aa98b2-b7f7-42c8-81ad-3085d0151eff","10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff","doi:10.5285/94aa98b2-b7f7-42c8-81ad-3085d0151eff"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth","University of Exeter","University of East Anglia"],"ror":["https://ror.org/008n7pv89","https://ror.org/006hf6230","https://ror.org/04xw4m193","https://ror.org/03yghzc09","https://ror.org/026k5mg93"],"shortenedDescription":"This dataset contains measurements from smart sensors monitoring the motion state of a physical analogue of a Large Wood (LW) dam in laboratory experiments. The smart sensors were equipped with an accelerometer, gyroscope and magnetometer and they recorded angular velocity,…","state":"published","title":"Smart sensor data from tracking the displacement of a physical analogue of a large wood dam in laboratory experiments","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Copenhagen","Centre for Ecology & Hydrology"],"authorFamilyName":["Cedergreen","Nørhave","Svendsen","Spurgeon"],"authorFullName":["Cedergreen, N.","Nørhave, N.J.","Svendsen, C.","Spurgeon, D.J."],"authorGivenName":["N.","N.J.","C.","D.J."],"authorOrcid":["0000-0003-3264-8760"],"authorRor":["https://ror.org/035b05819","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of low (plus or minus 4 °C) and high (plus or minus 8 °C) amplitude (average temperatures of 12, 16, 20 °C and 16 °C respectively)","documentType":"GEMINI_DOCUMENT","familyName":["Cedergreen","Nørhave","Svendsen","Spurgeon"],"fullName":["Cedergreen, N.","Nørhave, N.J.","Svendsen, C.","Spurgeon, D.J."],"givenName":["N.","N.J.","C.","D.J.","Claus"],"identifier":"af125e27-3b70-4f0a-81fb-a7eb10f64ef7","incomingCitationCount":1,"keyword":["Environmental risk","Pollution","Caenorhabditis elegans"],"keywordsOther":["Caenorhabditis elegans"],"keywordsTheme":["Environmental risk","Pollution"],"licence":"Open government licence","lineage":"Experimental design\nCulture conditions for test organism: C. elegans (N2 Bristol strain) from the C. elegans Genetics Centre, University of Minnesota) were cultivated in darkness at 20°C on nematode growth medium (NGM) agar plates and fed Escherichia coli of uracil deficient strain OP50. At least 2 weeks before the start of all experiments new cultures were initiated at the selected test temperatures to acclimatize the worms through several generations. Cultures were maintained by transferring a chunk of agar and associated eggs, juvenile and adult worms from an existing culture to freshly prepared NGM agar plates weekly.\n\nSet-up of toxicity tests: Exposures were conducted at steady temperatures of 8, 12, 16, 20 and 24°C and variable temperature scenarios with daily fluctuations of +/- 4°C in the ranges 8-16°C (12°C average), 12-20°C (16°C average) and 16-24°C (20°C average) and daily fluctuations of +/- 8°C in the ranges 8-24°C (16°C average). Temperatures were changed with a rate of 4°C per hour. Separate toxicity tests with copper were conducted under all temperature regimes using concentration known to result in changes in measured traits. Copper concentrations used were 0, 1, 3, 8, 20 and 40 mg Cu/L agar. The highest concentrations equate to levels 2-3 orders of magnitude greater than those found in surface waters and soil pore waters from uncontaminated sites, but are comparable to soil pore water concentrations in heavily polluted soils. \n\nA stock solution of CuCl2 in demineralized water (2 g Cu/L) was made and used throughout the experiment. This copper stock solution was added to the NGM agar while liquid and mixed. Batches of NGM were produced every five days during the course of the experiment to minimize immobilization of copper in the agar. All tests were conducted using synchronized cohorts of nematodes produced from adults selected from the main stock cultures acclimatized at each temperature scenario. To generate these cohorts, adult hermaphrodite worms were selected from the acclimatized cultures and placed on Petri dishes with copper spiked NGM and E. coli and left at the test temperatures for 4 hours (6 hours for 8°C to ensure sufficient eggs were laid). After this time, the adults were removed and the eggs laid in the 4 (6) hour period left to hatch. The offspring (the test organisms), once hatched and grown to the L4 larval stage on the copper spiked plates, were transferred to 12-well plates with copper spiked NGM and E. coli, with one individual per well. There were 12 replicate worms for each treatment, except the controls of 24°C constant, 8-16°C, 8-24°C and 16-24°C which had 36 replicates, and the 8°C test in which we could not always obtain 12 worms for each treatment, hence, between 6 and 12 worms were used. \n\nDuring the test, the nematodes were moved to new wells in fresh plates every day. These transfers and the associated observations allowed calculation of the time taken until first egg was laid and subsequently daily egg production. The daily transfer and counting were repeated through both the reproductive and senescence stages until death (determined by the lack of response to being probed). Fertile eggs and hatched juveniles were counted as offspring, while visibly infertile eggs were excluded from brood size counts. At regular intervals, nematode length in micrometers was measured using a Nikon DS-Fi1 camera connected to a Nikon SMZ 800 stereomicroscope. Body length was measured using the program Nikon NIS Elements Imaging Software 3.2 to provide a description of growth pattern. \n\nCopper analysis: The copper content in the water fraction of the agar was determined one and five days after production. This allowed us to distinguish dissolved copper and agar bound copper (which may not have been fully bioavailable). Samples of NGM from each produced batch were saved in centrifuge tubes and, after one or five days, centrifuged at 10000 G for five minutes to separate water and agar. A sample of the water fraction was removed and acidified. The analyses were performed on a graphite furnace AAS (Perkin Elmer Zeeman 5100, Waltham, MA) . Blanks, spiked reference samples and a standard reference material NIST 1577c (bovine liver) were included in the analysis to confirm validity. \n\nData structure: Data structure for columns.\n\nPlate: Gives the TC-plate number. Treatments were randomised at different plates.\nReplicate: Gives the replicate number\nCu: Gives the Cu-concentrations in mg/L agar\nDay: Gives the day after the eggs are layed.\nLength: Is given in µm (micrometers). Length measurements on individuals were started when the worms reached the L4 larval stage and were moved to individual wells.\n\nOffspring: Is the number of fertile eggs and larvae counted. If there are no eggs a zero is written. When the nematode is dead, nothing is written in the cell henceforth. All times after the last zero, the worm is dead. The experiment is terminated when the last worm died, indicated by end of the orange area.\n\nStatistics: Differences between temperature treatments for brood size, lifespan and maximal length of non-Cu exposed nematodes were tested by a one-way ANOVA with a Tukey post hoc analysis using the R statistical software version 2.12.0 (http://www.r-project.org/).\n\nThe average cumulative egg production as a function of time for each treatment was described by a three parameter log-logistic sigmoid model (equation 1) using the statistical software R version 2.12.0 within the DRC package.. \n\ny = d/(1+(x/e)^b)\t\t\t\t\t\t\t(Equation 1)\n\nwhere d is the maximum number of eggs produced, e is the time when half the maximum number of eggs is produced, b is proportional to the slope of the sigmoid curve at e, y is the accumulated number of produced eggs and x is the time. From this model the estimated time to first egg (TFE) was calculated by solving x for y equal to 1/d. The DRC package returns a standard error with the estimate.","metadataDate":"2026-07-25T13:24:12.000Z","orcid":["0000-0003-3264-8760","0000-0001-7281-647X"],"organisation":["University of Copenhagen","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af125e27-3b70-4f0a-81fb-a7eb10f64ef7","10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7","doi:10.5285/af125e27-3b70-4f0a-81fb-a7eb10f64ef7"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/035b05819","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise body length (micrometres) of nematode (Caenorhabditis elegans) offspring from a laboratory study in which animals were exposed to control (0 copper) or copper dosed agar at different average temperatures (8 to 24 °C)) and under fluctuation conditions of…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Temperature and copper effects on the nematode Caenorhabditis elegans ","topic":["0/Environmental risk/","0/Pollution/"],"version":1.0,"view":["public","jone"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter","University of Rwanda","University of Gothenburg"],"authorFamilyName":["Restrepo Correa","Tylor","Niyigena","Johansson","Wallin","Nsabimana","Uddling","Mercado"],"authorFullName":["Restrepo Correa, Z.","Tylor, T.","Niyigena, E.","Johansson, K.S.L.","Wallin, G.","Nsabimana, D.","Uddling, J.","Mercado, L.M."],"authorGivenName":["Zorayda","Tyeen","Esther","Karin S.L.","Göran","Donat","Johan","Lina M"],"authorOrcid":["0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-3854-3265","0000-0002-5359-1102","0000-0003-4893-1915","0000-0003-4069-0838"],"authorRor":["https://ror.org/00286hs46","https://ror.org/01tm6cn81","https://ror.org/03yghzc09"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset compiles leaf-level functional traits collected at a tropical elevational gradient in the Albertine Rift in Rwanda at two experimental sites across two common garden plantations with contrasting mean annual temperatures (15.2°C and 20.0°C). Sampling included species from eight native tropical Afromontane and transitional rainforest.\nThe dataset includes leaf structural traits (leaf area, thickness, and leaf mass per area (LMA)), leaf optical properties (reflectance, transmittance, and absorptance) and leaf angle measurements (pitch, roll, azimuth, and vertical angle).\nMeasurement campaigns were conducted between January and February 2025.\nTogether, these data provide a comprehensive characterization of leaf functional and thermoregulation traits across contrasting tropical montane environments, supporting research on plant ecophysiology, climate adaptation, and ecosystem responses to environmental stress.","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo Correa","Tylor","Niyigena","Johansson","Wallin","Nsabimana","Uddling","Mercado"],"fullName":["Restrepo Correa, Z.","Tylor, T.","Niyigena, E.","Johansson, K.S.L.","Wallin, G.","Nsabimana, D.","Uddling, J.","Mercado, L.M.","Zorayda Restrepo Correa"],"funder":["Natural Environment Research Council"],"givenName":["Zorayda","Tyeen","Esther","Karin S.L.","Göran","Donat","Johan","Lina M"],"grant":["NE/X001172/1"],"identifier":"37c4c87a-de90-4b35-96d8-32e077c5dab2","incomingCitationCount":0,"keyword":["Climate and climate change","Biodiversity","tropical forest","elevational gradient","plant ecology","leaf traits","thermoregulation","common garden","Central Africa","heat stress"],"keywordsOther":["tropical forest","elevational gradient","plant ecology","leaf traits","thermoregulation","common garden","Central Africa","heat stress"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"The experiments were designed as common garden plantations with a focus on native tree species from early and late successional stages from Afromontane and transitional rainforests in the Albertine rift in Rwanda. Experimental sites were established during December 2017 and January 2018 spanning high and mid elevations and include a 15.2 °C MAT site (elevation = 2400 m a.s.l., T 99%tile = 23.1 °C; annual precipitation = 2100mm, latitude= 2.515S, longitude= 29.395556E) and 20 °C MAT site (elevation = 1600 m a.s.l., T99%tile = 28.5 °C; annual precipitation = 1700 mm, latitude= 2.475S, longitude= 29.780277E) and a third experimental site at lower elevation not used in this data set. At each experimental site, 1800 trees were planted across 18 plots (6 treatments, 3 replicates per treatment) with 100 trees from 20 different native tropical montane or highland tree species planted, with five replicates per species per plot. Treatments include three water levels (low, mid, high) in factorial combinations with two nutrient levels (unfertilized, fertilized + limed). The water levels mimic the natural precipitation regime at the three experimental sites, and the fertilization treatments compensate for differences in fertility across sites. Unfertilized trees were planted on the native soils found at each experimental location. Further information about each experimental site can be found at https://www.rwandatree.com/\nAt each experimental site, we collected leaves from eight species from six treatment plots corresponding to the natural precipitation levels of both experimental sites without nutrient fertilization; and leaf samples from 144 juvenile trees for structural and optical leaf traits were collected, and leaf angles were measured from 48 trees.\nData were obtained through field sampling of individual trees, followed by standardized laboratory and field measurements. Leaf structural traits were measured using morphological and physical methods, leaf optical properties were measured using a miniature leaf spectrometer (CI-710, CID Bio-Science), and leaf angle was measured using a smartphone-based application (protractor and compass tools).\nThe dataset includes detailed metadata describing variables, units, sampling locations, methods, and quality control procedures. Details of sampling locations and protocols, data processing steps, and dataset-specific methodological information are provided in the supporting documentation.","locations":["POLYGON((29.353 -1.937, 29.353 -1.627, 29.586 -1.627, 29.586 -1.937, 29.353 -1.937))"],"metadataDate":"2026-07-24T20:37:51.000Z","orcid":["0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-3854-3265","0000-0002-5359-1102","0000-0003-4893-1915","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","University of Rwanda","University of Gothenburg","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37c4c87a-de90-4b35-96d8-32e077c5dab2","10.5285/37c4c87a-de90-4b35-96d8-32e077c5dab2","doi:10.5285/37c4c87a-de90-4b35-96d8-32e077c5dab2"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/00286hs46","https://ror.org/01tm6cn81","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset compiles leaf-level functional traits collected at a tropical elevational gradient in the Albertine Rift in Rwanda at two experimental sites across two common garden plantations with contrasting mean annual temperatures (15.2°C and 20.0°C). Sampling included…","state":"published","temporalExtentText":"Data collected from 2025 to 2925","title":"Thermoregulation traits of montane tree species in common garden plantations at two elevations in the Albertine Rift in Rwanda, 2025","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}