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Data were collected from the Hillesden estate, Buckinghamshire in June 2015. Surveys were conducted alongside four experimental arrays of the Californian poppy, Eschscholzia californica, located with two habitats; a sown wildflower mix and bare, fallow ground. This set-up was repeated over four 100ha blocks separated at a distance greater than 500m. Pan traps comprised three water-filled circular plastic bowls (80 x 200 mm) painted with non-toxic fluorescent paint (1 yellow, 1 blue and 1 white; UV Gear, UK) placed in the centre of each array. Traps were deployed for 24 hours at each of the 16 arrays on the same day, twice weekly over the 16 day study period (totalling four surveys). Each survey was done in randomised order, between 0930 and 1700. All insects from the main pollinator groups (Hymenoptera: Apoidea, Diptera: Syrphidae and Lepidoptera) were counted and identified to species level. The intertegular span (the distance between the wing bases) of each insect from the main pollinator groups was then measured using digital callipers. The dataset was part of a larger experiment looking at the effect of floral resources on the pollination services to isolated plants.","documentType":"GEMINI_DOCUMENT","familyName":["Evans","Heard","Vanbergen","Cavers","Ennos"],"fullName":["Evans, T.M.","Heard, M.S.","Vanbergen, A.J.","Cavers, S.","Ennos, R.","Evans, T."],"givenName":["T.M.","M.S.","A.J.","S.","R.","Tracie"],"identifier":"01906784-6742-44bf-b244-a4b63bed8d82","incomingCitationCount":0,"keyword":["Buckinghamshire","Eschscholzia californica"],"keywordsOther":["Eschscholzia californica"],"keywordsPlace":["Buckinghamshire"],"licence":"Open government licence","lineage":"All field collections and identifications were conducted by Evans, T.M, trained in pollinator identification and field ecology. Identifications were then checked by a recognised expert in the identification of bees.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0002-0177-6631","0000-0001-8320-5535","0000-0003-2139-9236"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/01906784-6742-44bf-b244-a4b63bed8d82","10.5285/01906784-6742-44bf-b244-a4b63bed8d82","doi:10.5285/01906784-6742-44bf-b244-a4b63bed8d82"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a list of pollinator species caught within pan traps from habitats comprising different floral cover. Data were collected from the Hillesden estate, Buckinghamshire in June 2015. Surveys were conducted alongside four experimental arrays of the…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Pollinator data from pan traps located in habitats comprising different floral cover in Buckinghamshire, UK","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds"],"authorFamilyName":["McCloskey","Menteşe","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"authorFullName":["McCloskey, J.","Menteşe, E.Y.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"authorGivenName":["J.","Emin Yahya","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"authorOrcid":["0000-0002-7187-4384","0000-0002-6699-7312","0000-0002-7682-4490","0000-0001-5445-4911","0000-0001-6182-9208","0000-0003-0422-4063","0000-0001-6694-8994","0000-0003-2656-961X","0000-0003-4719-7130","0000-0002-6472-9875"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF","json"],"description":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means of its socio-economic and physical aspects. It covers an area of 500ha located south of Kathmandu (Nepal).  The dataset consists of 5 different data types:\n\n-\tBuildings: Data representing the building footprints for today and 50 years from now including specific attributes to be used within multi-hazard risk assessments.\n-\tLand uses: Data representing the land use information for today and 50 years from now.\n-\tVulnerability: Tabular files that contain vulnerability functions for buildings under earthquake and flood hazards.\n-\tHousehold: Data that contains social attributes of the Tomorrowville, such as the level of education, age, gender and working status of the individuals and their states in the households.\n-\tHazards: Data representing the hazards (earthquake (eq), floods (fl) and debris flows (df) that may impact the case study areas of Tomorrowville.\n\nObservational data of the built environment and socio-economical properties of Kathmandu and Nairobi were used in addition to synthetic social data to create the initial scenario. This is a synthetic social dataset, meaning it was derived from existing population projections and distributions for the testbed but does not reflect the reality on the ground. It is synthetically created using specific algorithms in a GIS environment to represent a Global South social context.\n\nFor the building data, Open Street Map (OSM) database is used as a basis. The data is scraped from OSM and modified to represent an urban context for Tomorrowville. The attributes are also modified to be able to use in a multi-hazard risk computation. A taxonomy string is generated for each building that represents an acronym for its building code level, number of storeys, occupation type and structural system. The hazards that were existing in the selected spatial extent were earthquake, flood, and debris flow. Hazard data represents an intensity measure for the relevant hazard type (ground acceleration for earthquake, flow velocity for the flood and debris flow hazards). The following hazard input data are included:\n\n-\tFor the flood simulations, the discharge and rainfall time series are generated based on moderate to peak daily data based on recorded data from the Department of Hydrology and Meteorology, Nepal.\n-\tEarthquake hazard sources are generated and simulated by Jenkins et al. (2023).\n-\tFor the debris-flow and flood simulations tri-stereo Pleiades satellite imagery is used to produce a 2m resolution Digital Elevation Model.\n\nThe work to create this dataset is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1)","documentType":"GEMINI_DOCUMENT","familyName":["McCloskey","Menteşe","Cremen","Gentile","Galasso","Filippi","Jenkins","Creed","Watson","Sinclair","Pelling"],"fullName":["McCloskey, J.","Menteşe, E.Y.","Cremen, G.","Gentile, R.","Galasso, C.","Filippi, M.E.","Jenkins, L.","Creed, M.","Watson, C.S.","Sinclair, H.","Pelling, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","Emin Yahya","G.","R.","C.","M.E.","L.","M.","C.S.","H."],"grant":["NE/S009000/1"],"identifier":"8b5834a5-ae8a-4f24-836c-16fab961aeb3","incomingCitationCount":0,"keyword":["GCRF Urban Disaster Risk Hub","Environmental risk","GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsOther":["GIS digital format","exposure","multi-hazard","city","virtual","testbed","Tomorrowville","risk assessment"],"keywordsProject":["GCRF Urban Disaster Risk Hub"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"As an interdisciplinary process, knowledge and perspective of different disciplines helped us shape the characteristics holistically and enabled us to construct a comprehensive understanding of the testbed. By bringing qualitative and quantitative approaches together, it became possible to integrate both social and physical characteristics with the facilitation of urban planning and GIS disciplines. The development of Tomorrowville started in June 2021. Between June and December 2021, there have been around 30 inter-disciplinary online meetings within our research group regarding the development of Tomorrowville. The team consisted of 2 structural engineers, 4 geoscientists, 4 social scientists and a GIS expert with an urban planning background. Local researchers from Kathmandu and Nairobi had structural engineering and urban planning expertise and they provided insight into our approach which enabled us to be more realistic in terms of the spatial context we represent within Tomorrowville.\n\nThe building footprints are derived from some sample data gathered from Open Street Map database and modified to fit the aims of the dataset. The exposure data is synthetic. All flood simulations are generated using Caesar-Lisflood, a landscape evolution model (LEM) that combines the hydrological and surface flow model, Lisflood-FP (Bates et al. 2010), with the CAESAR landscape evolution model (Coulthard et al. 2013). For landslide analysis digital elevation model from tri-stereo Pleiades satellite imagery is benefited. For debris-flow analysis, rainfall-driven LaharFlow dynamic hazard model is used. The vulnerability data are produced based on consultation with local partners and global vulnerability databases such as Joint Research Center’s “Global flood depth-damage functions: Methodology and the database with guidelines”.\n\nThe synthetic social data was produced through bespoke algorithms that considered population characteristics and projections relevant for the area. These algorithms are developed to generate a population that would live in future urban scenario within the designed built environment. The algorithms were coded in MATLAB software environment.","locations":["POLYGON((85.28 27.656, 85.28 27.745, 85.365 27.745, 85.365 27.656, 85.28 27.656))"],"metadataDate":"2026-07-25T08:41:33.000Z","orcid":["0000-0002-7187-4384","0000-0002-6699-7312","0000-0002-7682-4490","0000-0001-5445-4911","0000-0001-6182-9208","0000-0003-0422-4063","0000-0001-6694-8994","0000-0003-2656-961X","0000-0003-4719-7130","0000-0002-6472-9875"],"organisation":["University of Edinburgh","Anofa Engineering, Planning and Informatics Ltd.","University College London","University of Bristol","University of Glasgow","University of Leeds","Anofa Engineering, Planning and Informatics Ltd","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b5834a5-ae8a-4f24-836c-16fab961aeb3","10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3","doi:10.5285/8b5834a5-ae8a-4f24-836c-16fab961aeb3"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/02jx3x895","https://ror.org/0524sp257","https://ror.org/00vtgdb53","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a digital urban scenario, named Tomorrowville, that is developed as a testbed for multi-hazard risk assessments and to evaluate the performance of urbanisation scenarios. Tomorrowville was created to represent a global-south urban setting by means…","state":"published","supplementalDescription":["Gentile, R., Cremen, G., Galasso, C., Jenkins, L. T., Manandhar, V., Menteşe, E. Y., Guragain, R., & McCloskey, J. (2022). Scoring, selecting, and developing physical impact models for multi-hazard risk assessment. In International Journal of Disaster Risk Reduction (Vol. 82, p. 103365). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103365","Jenkins, L. T., Creed, M. J., Tarbali, K., Muthusamy, M., Trogrlić, R. Š., Phillips, J. C., Watson, C. S., Sinclair, H. D., Galasso, C., & McCloskey, J. (2023). Physics-based simulations of multiple natural hazards for risk-sensitive planning and decision making in expanding urban regions. In International Journal of Disaster Risk Reduction (Vol. 84, p. 103338). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2022.103338","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. In International Journal of Disaster Risk Reduction (Vol. 90, p. 103651). Elsevier BV. https://doi.org/10.1016/j.ijdrr.2023.103651"],"title":"Virtual urban testbed representing a Global South urban setting based on Nairobi, Kenya and Kathmandu, Nepal contexts","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","Harris","Harrower","Lowe","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harris, S.","Harrower, C.","Lowe, M.","Roy, D.B."],"authorGivenName":["M.S.","I.","S.","C.","M.","D.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":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from five to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.\n\nCollated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.\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.\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":["Botham","Middlebrook","Harris","Harrower","Lowe","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harris, S.","Harrower, C.","Lowe, M.","Roy, D.B.","Botham, M."],"funder":["Natural Environment Research Council","Butterfly Conservation","Joint Nature Conservation Committee (JNCC)"],"givenName":["M.S.","I.","S.","C.","M.","D.B.","Marc"],"grant":["NE/R016429/1"],"identifier":"6177caa4-e68e-433c-8135-029ddfd3ba72","incomingCitationCount":0,"keyword":["Biodiversity","England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly","lepidopteran"],"keywordsOther":["England","Northern Ireland","Scotland","UK-SCAPE","United Kingdom","Wales","butterfly","lepidopteran"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:43:20.000Z","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","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2022-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6177caa4-e68e-433c-8135-029ddfd3ba72","10.5285/6177caa4-e68e-433c-8135-029ddfd3ba72","doi:10.5285/6177caa4-e68e-433c-8135-029ddfd3ba72"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. 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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":"2026-07-24T21:21:25.000Z","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":"2017-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4d8c7dd9-8248-46ca-b988-c1fc38e51581","10.5285/4d8c7dd9-8248-46ca-b988-c1fc38e51581","doi:10.5285/4d8c7dd9-8248-46ca-b988-c1fc38e51581"],"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":"Frog data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include phenology (i.e. the dates when frogs start congregating, spawning, when hatching occurs and when the frogs leave), number of spawn masses, total surface area covered…","state":"published","temporalExtentText":"Data collection started in 1994","title":"UK Environmental Change Network (ECN) frog data: 1994-2015","topic":["0/Environmental survey/","0/Phenology/"],"version":1.0,"view":["kath","srennie","phtr","public"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Levy","Smith","Dore","Tang","Stedman"],"authorFullName":["Levy, P.E.","Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"authorGivenName":["P.E.","R.I.","A.J.","Y.S.","J.R."],"authorOrcid":["0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2015 to 2017.\n\nThe data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition.\n\nHabitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts. ","documentType":"GEMINI_DOCUMENT","familyName":["Levy","Smith","Dore","Tang","Stedman","Bealey"],"fullName":["Levy, P.E.","Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R.","Bealey, W.J."],"givenName":["P.E.","R.I.","A.J.","Y.S.","J.R.","W.J."],"identifier":"a19f8824-b3f5-4eea-836e-c5e07548709c","incomingCitationCount":0,"keyword":["Concentration Based Estimated Deposition (CBED)","pollutant","deposition","sulphur","nitrogen","base cations"],"keywordsOther":["pollutant","deposition","sulphur","nitrogen","base cations"],"keywordsProject":["Concentration Based Estimated Deposition (CBED)"],"licence":"Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network.  The site-based measurements are first interpolated to generate maps of concentrations for the UK.  The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition.  Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban.  The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the 5x5 km grid square, to generate values for grid square averaged deposition.  Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation.  For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats.\n\nData processing was done using the GenStat programme and results output as text files. These were then exported as comma separated values for ingestion into the Environmental Information Data Centre. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:16:28.000Z","orcid":["0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a19f8824-b3f5-4eea-836e-c5e07548709c","10.5285/a19f8824-b3f5-4eea-836e-c5e07548709c","doi:10.5285/a19f8824-b3f5-4eea-836e-c5e07548709c"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2015 to 2017.\n\nThe data consist of deposition values for sulphur, oxidised…","state":"published","supplementalDescription":["Fowler, D., Cape, J.N., Leith, I.D., Choularton, T.W., Gay, M.J. & Jones, A.  1988.  The influence of altitude on rainfall composition at Great Dun Fell.  Atmospheric Environment, 22, 1355-1362.","Hallsworth, S., Sutton, M.A., Dore, A.J., Dragosits, U., Tang, Y.S. & Vieno, M.  2010.  The role of the indicator choice in quantifying the ammonia threat to the Natura 2000 network.  Environmental Science & Policy, 13, 671-687","RoTAP.  2012.  Review of Transboundary Air Pollution: Acidifcation, Eutrophication, Ground Level Ozone and Heavy Metals in the UK.  Contract Report to the Department for Environment, Food and Rural Affairs.  Centre for Ecology & Hydrology.  www.rotap.ceh.ac.uk","Smith, R.I., Fowler, D., Sutton, M.A., Flechard, C. & Coyle, M.  2000.  Regional estimation of pollutant gas deposition in the UK: model description, sensitivity analyses and outputs.  Atmospheric Environment, 34, 3757-3777.","Stedman, J.R., Kent, A.J., Grice, S., Bush, T.J. & Derwent, R.G.  2007.  A consistent method for modelling PM10 and PM2.5 concentrations across the United Kingdom in 2004 for air quality assessment.  Atmospheric Environment, 41, 161-172.","Dore, A.J., Choularton, T.W. & Inglis, D.W.F.  2001.  Monitoring studies of precipitation and cap cloud chemistry at Holme Moss in the Southern Pennines.  Water, Air and Soil Pollution: Focus 1; 381-390.","Beswick, K.M., Choularton, T.W., Inglis, D.W.F., Dore, A.J. & Fowler, D.  2003.  Influences on long-term trends in ion concentration and deposition at Holme Moss.  Atmospheric Environment, 37 (14), 1927-1940."],"supplementalName":["UK Acidifying and Eutrophying Atmospheric Pollutants ","United Kingdom Eutrophying & Acidifying Network (UKEAP) "],"temporalExtentText":"Data collected from 2015 to 2017","title":"Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK 2015-2017","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["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"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","Lundy","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"],"authorFullName":["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, J.","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.","Lundy, M.","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."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorOrcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338","0000-0002-6631-0672"],"authorRor":["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"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They represent continuous records (the transects are walked four times each year) from 1993 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. 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","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","Lundy","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, J.","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.","Lundy, M.","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.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"2588ee91-6cbd-4888-86fc-81858d1bf085","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","Bat species","Environmental Change Network","ILTER","LTER","BA","mammal","vertebrate","chiropteran","Eptesicus serotinus","Myotis bechsteinii","Myotis daubentonii","Myotis brandtii","Myotis myotis","Myotis mystacinus","Myotis nattereri","Nyctalus leisleri","Nyctalus noctula","Pipistrellus pipistrellus","Pipistrellus pygmaeus","Plecotus auritus","Plecotus austriacus","Rhinolophus ferrumequinum","Rhinolophus hipposideros","Barbastella barbastellus"],"keywordsOther":["Bat species","Environmental Change Network","ILTER","LTER","BA","mammal","vertebrate","chiropteran","Eptesicus serotinus","Myotis bechsteinii","Myotis daubentonii","Myotis brandtii","Myotis myotis","Myotis mystacinus","Myotis nattereri","Nyctalus leisleri","Nyctalus noctula","Pipistrellus pipistrellus","Pipistrellus pygmaeus","Plecotus auritus","Plecotus austriacus","Rhinolophus ferrumequinum","Rhinolophus hipposideros","Barbastella barbastellus"],"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":"Data are collected while walking a defined transect using a bat detector at all of ECN's terrestrial sites using a standard protocol,four times each year. 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":"2026-07-24T19:25:45.000Z","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":"2017-11-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2588ee91-6cbd-4888-86fc-81858d1bf085","10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085","doi:10.5285/2588ee91-6cbd-4888-86fc-81858d1bf085"],"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":"Bat species data from the UK Environmental Change Network (ECN) terrestrial sites. The count of individual species is recorded. These data are collected while walking a defined transect using a bat detector at ECN's terrestrial sites using a standard protocol. They…","state":"published","temporalExtentText":"Data collection started in 1993","title":"UK Environmental Change Network (ECN) bat data: 1993-2015","topic":["0/Environmental survey/"],"version":1.0,"view":["kath","srennie","phtr","public"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"authorFullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"authorGivenName":["J.","G.","P.","E."],"authorOrcid":["0000-0002-1223-8345","0000-0002-8972-953X","0000-0002-6233-8942"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021. The turbidity and concentration data were derived from a combination of instream sensors and lab-analysed water samples. Discharge data were derived using a stage-discharge rating curve constructed from manual measurements of flow velocity and water level sensor measurements. This dataset was collected by UKCEH as part of a hydrological monitoring programme for the Littlestock Brook Natural Flood Management scheme. There are some periods of data gaps within the timeseries as a result of sensor errors which have been excluded. These data may be used to calculate suspended sediment and phosphorus fluxes loads leaving the catchment.\n\nThis work was supported by the Natural Environment Research Council (Grant NE/L002531/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Robotham","Old","Rameshwaran","Trill","Bishop"],"fullName":["Robotham, J.","Old, G.","Rameshwaran, P.","Trill, E.","Bishop, J."],"funder":["Natural Environment Research Council"],"givenName":["J.","G.","P.","E."],"grant":["NE/L002531/1"],"identifier":"9f80e349-0594-4ae1-bff3-b055638569f8","incomingCitationCount":0,"keyword":["Oxfordshire","Cotswolds","Hydrology","suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"keywordsOther":["suspended sediment","water quality","hydrology","suspended matter","phosphorus","sediment","flow"],"keywordsPlace":["Oxfordshire","Cotswolds"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data were generated using water level and turbidity sensors. Spot measurements of stream discharge were made using the velocity-area method and the dilution method to construct rating curves. Water samples were also taken across a range of flows to analyse suspended sediment and total phosphorus concentrations (mg L-1) in order to calibrate the turbidity readings. Data underwent QC to flag any spurious readings in the timeseries which were then removed and linearly interpolated where appropriate.","locations":["POLYGON((-1.664 51.852, -1.664 51.886, -1.603 51.886, -1.603 51.852, -1.664 51.852))"],"metadataDate":"2026-07-25T10:26:11.000Z","orcid":["0000-0002-1223-8345","0000-0002-8972-953X","0000-0002-6233-8942"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f80e349-0594-4ae1-bff3-b055638569f8","10.5285/9f80e349-0594-4ae1-bff3-b055638569f8","doi:10.5285/9f80e349-0594-4ae1-bff3-b055638569f8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-resolution (5-minute) discharge, turbidity, suspended sediment concentration, and total phosphorus concentration data measured at three stream sites in the Littlestock Brook catchment (a tributary of the River Evenlode) from 2017 to 2021.…","state":"published","temporalExtentText":"Data collected from 2017 to 2021","title":"High-resolution time series of turbidity, suspended sediment concentration, total phosphorus concentration, and discharge in the Littlestock Brook, England, 2017-2021","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Aberdeen","Instituto de Ecología Regional (CONICET-Universidad Nacional de Tucumán)"],"authorFamilyName":["García Díaz","Powell","Lambin"],"authorFullName":["García Díaz, P.","Powell, P.A.","Lambin, X."],"authorGivenName":["Pablo","Priscila Ana","X."],"authorOrcid":["0000-0001-5402-0611","0000-0003-3911-0912","0000-0003-4643-2653"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile"],"description":"Data containing information on a study of the impact of Storm Arwen on biodiversity and forest structure of Kielder Forest (Northumberland), May-July 2022. The following are included:\n (i) fallen timber found along 100 m transects (species, tree circumference, and whether it was flat on the ground);\n (ii) trees found inside 10x10-m plots (species; diameter at breast height [DAP]; status [alive vs dead]; and whether the tree was still standing);\n (iii) plant cover and richness in 2x2 m quadrats (Braun-Blanquet cover and plant species present);\n (iv) spatial data (GIS layers and buffers around survey and sampling sites); and\n (v) bird point counts (species detected and distances to each individual recorded)\n\nSurveys were conducted at twelve control-impact pairs (24 sites in total), whereby impact sites were those severely affected by Storm Arwen. Within each site, we carried out one 100 m transect, three 10x10 m plots, three 2x2 m quadrats, and two to four bird point counts depending on the size of the site","documentType":"GEMINI_DOCUMENT","familyName":["García Díaz","Powell","Lambin"],"fullName":["García Díaz, P.","Powell, P.A.","Lambin, X."],"funder":["Natural Environment Research Council"],"givenName":["Pablo","Priscila Ana","X."],"grant":["NE/X001997/"],"identifier":"9f914e5b-958d-49a8-a5bf-86c35d865257","incomingCitationCount":0,"keyword":["Kielder","Northumberland","Bird count","storm Arwen","buffer","diameter at breast height","forest inventory plot","GIS","natural experiment","Picea abies","Sitka spruce","Picea sitchensis","Norway spruce","plant quadrat","windblown","timber","National Forest Estate Subcompartments England 2019"],"keywordsOther":["Bird count","storm Arwen","buffer","diameter at breast height","forest inventory plot","GIS","natural experiment","Picea abies","Sitka spruce","Picea sitchensis","Norway spruce","plant quadrat","windblown","timber","National Forest Estate Subcompartments England 2019"],"keywordsPlace":["Kielder","Northumberland"],"licence":"Open government licence","lineage":"We investigated the impact of storm Arwen (November-2021) on the forest structure and biodiversity of Kielder (Northumberland, UK) via 100-m transects, 10x10 m plots, 2x2 m quadrats, and bird point counts at twelve paired windblown and control sites (24 sites in total). All our survey site locations were obtained from a handheld GPS device.\n\nWe counted and measured all fallen trees found along a 100 m transect within each site. We measured the perimeter of each fallen tree three times to allow for volume estimation. Along each transect, we deployed three 10x10-m plots where we counted and measured the diameter at breast height of trees. These plots were placed at 0-10, 50-60, and 90-100 metres along the transect. We visually estimated the cover of grasses, ferns, mosses, fungi, and lichens using the Braun-Blanquet scale inside 2x2 m quadrats at 0-2, 50-52, and 90-92 along our 100 m transects. We also inventoried plant species found within these 2x2 m quadrats. Plants, including trees, were identified using field guides and keys and supported occasionally with photographic-aided identification using the iNaturalist application (https://www.inaturalist.org/observations).\n\nFor estimating bird richness and abundance, we conducted 2-4 bird point counts within each site between 6 and 10:30 am. During each count, an observer stayed in one spot for 5 minutes and recorded all birds they saw or heard, assigning them to one of five distance categories (0-10 metres; 10-20 metres; 20-30 metres; 30-40 metres; and 40-50 metres). All birds beyond 50 metres were not counted. This was done by either estimating the distance or using a Bushnell Golf Rangefinder. Only those detections that could be identified at the species level were included. All bird point counts were repeated twice to ensure the detection of all species using the survey sites.","locations":["POLYGON((-2.747 55.071, -2.747 55.296, -2.324 55.296, -2.324 55.071, -2.747 55.071))"],"metadataDate":"2026-07-25T10:25:41.000Z","orcid":["0000-0001-5402-0611","0000-0003-3911-0912","0000-0003-4643-2653"],"organisation":["University of Aberdeen","Instituto de Ecología Regional (CONICET-Universidad Nacional de Tucumán)","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f914e5b-958d-49a8-a5bf-86c35d865257","10.5285/9f914e5b-958d-49a8-a5bf-86c35d865257","doi:10.5285/9f914e5b-958d-49a8-a5bf-86c35d865257"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"Data containing information on a study of the impact of Storm Arwen on biodiversity and forest structure of Kielder Forest (Northumberland), May-July 2022. The following are included:\n (i) fallen timber found along 100 m transects (species, tree circumference, and whether…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Forest structure, composition and bird counts in windblown and control sites in Kielder Forest, Northumberland, UK, May-July 2022","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"48cd6732-bbfb-466d-ba80-ecc9e591a5c0","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Monitoring & Observing Systems","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of a water class. Refer to online supporting documentation for further information.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-07-24T21:18:40.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399374582591","CEH:EIDC::1399374582591","https://catalogue.ceh.ac.uk/id/48cd6732-bbfb-466d-ba80-ecc9e591a5c0","10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0","doi:10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad…","state":"published","supplementalDescription":["R.D. Morton, C. Rowland, C. Wood, L. Meek, C. Marston, G. Smith, R. Wadsworth, I. Simpson. July 2011 CS Technical Report No 11/07: Final Report for LCM2007 - the new UK land cover map. NERC/Centre for Ecology & Hydrology (CEH Project Number NEC03259)"],"temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (1km dominant aggregate class, N. Ireland) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1984. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated vegetation species where relevant, within a set of 382 1km squares across Great Britain, surveyed during the Countryside Survey long term monitoring project (note: not all surveyed squares contained point features). The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 by the Centre for Ecology & Hydrology, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to point features, habitat areas, vegetation species data, soil data, linear habitat data, and freshwater habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"givenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"identifier":"124b872e-036e-4dd3-8316-476b5f42c16e","incomingCitationCount":1,"keyword":["Great Britain","Environmental survey","trees ","ponds ","buildings","Countryside Survey"],"keywordsOther":["trees ","ponds ","buildings","Countryside Survey"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1984 by professional surveyors. Data were recorded from 382 1km squares sited across Britain, selected by random stratified sample. The point information was digitized in the late 1990s and is managed by Centre for Ecology & Hydrology. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:08:44.000Z","orcid":["0000-0003-4006-7755","0000-0001-9349-0069","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/124b872e-036e-4dd3-8316-476b5f42c16e","10.5285/124b872e-036e-4dd3-8316-476b5f42c16e","doi:10.5285/124b872e-036e-4dd3-8316-476b5f42c16e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of landscape point feature information for points across Great Britain, surveyed in 1984. Data are presented as rows of information recorded as point features (for example individual trees, water bodies or structures), with associated vegetation…","state":"published","temporalExtentText":"Data collected from 1984 to 1984","title":"Landscape point feature data 1984 [Countryside Survey]","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Helmholtz Centre for Environmental Research - UFZ","Cervest"],"authorFamilyName":["Tanguy","Peng","Robinson","Pinnington","Evans","Ellis","Cooper","Hannaford","Blyth","Dadson"],"authorFullName":["Tanguy, M.","Peng, J.","Robinson, E.","Pinnington, E.","Evans, J.","Ellis, R.","Cooper, E.","Hannaford, J.","Blyth, E.","Dadson, S."],"authorGivenName":["M.","J.","E.","R.","S."],"authorOrcid":["0000-0002-1516-6834","0000-0002-4071-0512","0000-0002-3746-4517","0000-0003-1869-3426","0000-0003-4194-1416","0000-0001-9667-7478","0000-0002-1575-4222","0000-0002-5256-3310","0000-0002-5052-238X","0000-0002-6144-4639"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave dataset: ASCAT) and a modelled soil moisture dataset (from JULES-CHESS land surface model) were combined to produce this dataset.\n\nThe dataset covers the period going from 1st April 2015 to 31st December 2017, at a daily timestep, and is available at two spatial resolutions: 12.5km; and 1km, which has been obtained after resampling all three underlying datasets to a 1km resolution.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Peng","Robinson","Pinnington","Evans","Ellis","Cooper","Hannaford","Blyth","Dadson"],"fullName":["Tanguy, M.","Peng, J.","Robinson, E.","Pinnington, E.","Evans, J.","Ellis, R.","Cooper, E.","Hannaford, J.","Blyth, E.","Dadson, S."],"funder":["Natural Environment Research Council"],"givenName":["M.","J.","E.","R.","S.","Maliko"],"grant":["NE/S017380/1"],"identifier":"26b8ddd4-09fd-4e40-a556-6a8f3a7481ea","incomingCitationCount":1,"keyword":["Great Britain","Soil","Soil moisture","remote sensing","land surface model","Triple Collocation Analysis","ASCAT","SMAP"],"keywordsOther":["Soil moisture","remote sensing","land surface model","Triple Collocation Analysis","ASCAT","SMAP"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"A merged dataset blending two remote sensing (ASCAT and SMAP) and one modelled (JULES-CHESS land surface model) soil moisture datasets was produced under the NERC funded HydroJULES programme. The merging was done using Triple Collocation Analysis which minimises the errors from a statistical point of view, producing an improved product, continuous in time and space.\nEvaluation using in-situ soil moisture measurements from the COSMOS-UK network shows that the merged soil moisture integrates the characteristics of model simulation and satellite observations and particularly improves the limited temporal variability of the JULES-CHESS simulation.\n\nSoil moisture is of fundamental importance to many hydrological, biological biochemical and meteorological processes. Accurate information about soil moisture is therefore valuable to a wide range of stakeholders.\n\nDespite this, widespread, continuous and reliable measurements of soil moisture are currently not widely available. Remote sensing satellite data provides regional soil moisture data, but the accuracy is variable and missing data frequent. Soil moisture models, on the other hand, provide continuous data both in time and space, but are indirect estimates based on numerical simulations rather than observations and do not always capture the temporal dynamic of drying and wetting accurately.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T09:55:19.000Z","orcid":["0000-0002-1516-6834","0000-0002-4071-0512","0000-0002-3746-4517","0000-0003-1869-3426","0000-0003-4194-1416","0000-0001-9667-7478","0000-0002-1575-4222","0000-0002-5256-3310","0000-0002-5052-238X","0000-0002-6144-4639"],"organisation":["UK Centre for Ecology & Hydrology","Helmholtz Centre for Environmental Research - UFZ","Cervest","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea","10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea","doi:10.5285/26b8ddd4-09fd-4e40-a556-6a8f3a7481ea"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A soil moisture product for Great Britain at two spatial resolutions: 12.5km and 1km, based on triple collocation error estimation and a least-squares merging scheme. Two remote sensing soil moisture datasets (one passive microwave dataset: SMAP, and one active microwave…","state":"published","supplementalName":["SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 3","ASCAT Surface Soil Moisture Climate Data Record v5 12.5 km sampling - Metop"],"temporalExtentText":"Data collected from 2015 to 2017","title":"Soil moisture product merged from satellite and modelled data for Great Britain, April 2015-December 2017","topic":["0/Soil/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University College London","An-Najah National University","Global Earthquake Model (GEM) Foundation","People in Need","National Society for Earthquake Technology","Chittagong University of Engineering and Technology","Chittagong University of Engineering & Technology","Lund University","Boğaziçi University","Ardhi University"],"authorFamilyName":["Cremen","Gentile","Dabeek","Aljawhari","Manandhar","Rawal","Nocera","Rana","Zisan","Leandro","Çaktı","Kombe"],"authorFullName":["Cremen, G.","Gentile, R.","Dabeek, J.","Aljawhari, K.","Manandhar, V.","Rawal, P.","Nocera, F.","Rana, S.","Zisan, B.","Leandro, I.","Çaktı, E.","Kombe, W."],"authorGivenName":["G.","r.","J.","K","V.","P.","F","S.","B.","I.","E.","W."],"authorOrcid":["0000-0002-6699-7312","0000-0002-7682-4490","0000-0001-8369-4105","0000-0003-4891-8702","0000-0001-8274-1416","0000-0001-7940-8014","0000-0002-3383-7662","0000-0002-5343-9215","0000-0002-6959-0235","0000-0002-1946-3940","0000-0003-1381-1833","0000-0001-9117-9496"],"authorRor":["https://ror.org/02jx3x895","https://ror.org/0046mja08","https://ror.org/02xh1tf34","https://ror.org/058m30p27","https://ror.org/052qsay17","https://ror.org/012a77v79","https://ror.org/03z9tma90","https://ror.org/05k903r09"],"availability":"Available","catalogue":"eidc","dataFormat":["GeoJSON","Comma-separated values (CSV)"],"description":"This dataset comprises spatially explicit risk analysis outputs for 10 study areas, representing potential disaster impacts across various future urban development scenarios, that are created by different community groups within each study area. Study areas include Istanbul (Türkiye), Nablus (Palestine), Chattogram (Bangladesh), Cox's Bazaar (Bangladesh), Nairobi (Kenya), Nakuru (Kenya), Quito (Ecuador), Kokhana (Nepal), Rapti (Nepal) and Darussalam (Tanzania). The data quantify the physical, social, and economic risks resulting from seismic activity or floods or landslides interacting with projected land-use plans and building typologies.\n\nKey components of the dataset include attributes on damage states for each building and eight metrics related to socio-demographic characteristics: \n-\tNumber of workers unemployed,  \n-\tNumber of children with no Access to education\n-\tNumber of households with no Access to hospital\n-\tNumber of individuals with no Access to hospital\n-\tNumber of households displaced\n-\tNumber of homeless individuals\n-\tPopulation displacement\n-\tNumber of casualties\n\nDetails on the computation of each metric is provided in the readme file.\nThis 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":["Cremen","Gentile","Dabeek","Aljawhari","Manandhar","Rawal","Nocera","Rana","Zisan","Leandro","Çaktı","Kombe"],"fullName":["Cremen, G.","Gentile, R.","Dabeek, J.","Aljawhari, K.","Manandhar, V.","Rawal, P.","Nocera, F.","Rana, S.","Zisan, B.","Leandro, I.","Çaktı, E.","Kombe, W."],"funder":["Natural Environment Research Council"],"givenName":["G.","r.","J.","K","V.","P.","F","S.","B.","I.","E.","W."],"grant":["NE/S009000/1"],"identifier":"30a025cc-4482-48a0-a0f9-9f5b71d7ef83","incomingCitationCount":0,"keyword":["Modelling","disaster","risk","loss","environmental impact","hazard","urbanisation","GCRF Urban Disaster Risk Hub","Tomorrow's Cities"],"keywordsOther":["disaster","risk","loss","environmental impact","hazard","urbanisation","GCRF Urban Disaster Risk Hub","Tomorrow's Cities"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The dataset was generated using the Tomorrow's Cities Decision Support Environment (TCDSE) workflow, designed to assess disaster risks in future urban planning scenarios. The process involved the integration of three primary components:\n1. Hazard Models: Physics-based simulations or probabilistic models for relevant hazards (e.g., earthquakes, floods, landslides) specific to the project location.\n2. Future Exposure Scenarios: Spatially explicit projections of future urban growth, land use, and building typologies, co-developed with local stakeholders and planning authorities.\n3. Vulnerability Functions: Engineering-based curves defining the susceptibility of proposed infrastructure to specific hazard intensities.\nThese components were processed through a computational risk engine (served under https://webapp.tomorrowscities.org) to calculate potential impacts (e.g., physical damage, displacement, economic loss) for various future development trajectories.\nQuality Assurance (QA) Steps:\n1. Input Validation: Hazard models and exposure data were validated by local domain experts and compared against historical baseline data where applicable.\n2. Internal Consistency Checks: The computational workflow underwent code reviews and unit testing to ensure data integrity during the integration of hazard and exposure layers.\n3. Output Verification: Preliminary risk results were reviewed in stakeholder workshops to ensure plausibility and alignment with local knowledge before finalization.","locations":["POLYGON((-82.26 -13.582, -82.26 44.214, 77.696 44.214, 77.696 -13.582, -82.26 -13.582))"],"metadataDate":"2026-07-24T20:33:47.000Z","orcid":["0000-0002-6699-7312","0000-0002-7682-4490","0000-0001-8369-4105","0000-0003-4891-8702","0000-0001-8274-1416","0000-0001-7940-8014","0000-0002-3383-7662","0000-0002-5343-9215","0000-0002-6959-0235","0000-0002-1946-3940","0000-0003-1381-1833","0000-0001-9117-9496"],"organisation":["University College London","An-Najah National University","Global Earthquake Model (GEM) Foundation","People in Need","National Society for Earthquake Technology","Chittagong University of Engineering and Technology","Chittagong University of Engineering & Technology","Lund University","Boğaziçi University","Ardhi University","NERC EDS Environmental Information Data Centre"," University of Edinburgh"],"publicationDate":"2026-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/30a025cc-4482-48a0-a0f9-9f5b71d7ef83","10.5285/30a025cc-4482-48a0-a0f9-9f5b71d7ef83","doi:10.5285/30a025cc-4482-48a0-a0f9-9f5b71d7ef83"],"resourceType":"Dataset","rightsHolder":[" University of Edinburgh"],"ror":["https://ror.org/02jx3x895","https://ror.org/0046mja08","https://ror.org/02xh1tf34","https://ror.org/058m30p27","https://ror.org/052qsay17","https://ror.org/012a77v79","https://ror.org/03z9tma90","https://ror.org/05k903r09","https://ror.org/04xw4m193","https://ror.org/01nrxwf90"],"shortenedDescription":"This dataset comprises spatially explicit risk analysis outputs for 10 study areas, representing potential disaster impacts across various future urban development scenarios, that are created by different community groups within each study area. Study areas include…","state":"published","supplementalDescription":["Cremen, G., Galasso, C., McCloskey, J., Barcena, A., Creed, M., Filippi, M. E., Gentile, R., Jenkins, L. T., Kalaycioglu, M., Mentese, E. Y., Muthusamy, M., Tarbali, K., & Trogrlić, R. Š. (2023). A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities. International Journal of Disaster Risk Reduction, 85, 103400.","Cremen, G., Galasso, C., & McCloskey, J. (2022). A Simulation‐Based Framework for Earthquake Risk‐Informed and People‐Centered Decision Making on Future Urban Planning. Earth's Future, 10(1)."],"title":"Multi-hazard disaster impact analysis outputs from synthetic future urban scenarios in 10 cities","topic":["0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University"],"authorFamilyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"authorFullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"authorGivenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"authorOrcid":["0000-0003-2750-7832","0000-0003-4649-0677","0000-0001-5645-3373","0000-0003-2869-0616","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of, standing aboveground biomass,  and belowground biomass measurements, from sites in the Conwy catchment. Standing aboveground biomass was measured at 7 sites and belowground biomass measurements were made at 8 sites. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Standing aboveground biomass (grams of dry mass per metre square) in habitats dominated by herbaceous biomass was measured on 1x1 metre quadrats in four plots per site. Standing aboveground biomass in woodlands was measured in two 200 square metre areas by means of stem cores and litter collections. Belowground total root biomass (grams of dry mass per square metre) was assessed for the topsoil 0-15 centimetres in three plots per site.\n\nMeasurements were undertaken by trained members of staff from Bangor University and the Centre for Ecology & Hydrology.\n\nThis data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"fullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A.","Smart, S."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A.","Simon"],"grant":["NE/J011991/1"],"identifier":"46bb0117-ed5d-4167-a375-d84d1237cf21","incomingCitationCount":2,"keyword":["Conwy catchment","Macronutrient Cycling Project (MCP)","Trurf2Surf","Biodiversity","Ecosystem services","plant-soil interaction","atmosphere-biosphere interaction","land use intensification gradient","catchment scale","biotic interactions","biomass"],"keywordsOther":["plant-soil interaction","atmosphere-biosphere interaction","land use intensification gradient","catchment scale","biotic interactions","biomass"],"keywordsPlace":["Conwy catchment"],"keywordsProject":["Macronutrient Cycling Project (MCP)","Trurf2Surf"],"keywordsTheme":["Biodiversity","Ecosystem services"],"licence":"Open government licence","lineage":"Measurements were made in plots ranging in size from 200 metres square to 0.5 metres square located using a stratified random sampling design. Standing aboveground plant biomass and root biomass were assessed independently at the sites.\n\nStanding aboveground plant biomass (grams of dry mass per square metre) was measured at 7 sites (blanket bog, bog (Calluna), soligenous mire and flush, acid grassland, broadleaved woodland (n=3), coniferous woodland, improved grassland, semi-improved grassland), with between 3 and 9 replicates per habitat. For the grassy/bog habitats, all herbaceous biomass was cut to 1cm height in 1 x 1 m quadrats, for 4 plots per habitat. The vegetation was dried then weighed in the lab. For woodland habitats, 2 x 200 metre   plots were chosen at random for each site and tree cores collected for each tree and shrub >1.3m in height. Then the following formula was used to calculate above-ground biomass (where DBH = Diameter at Breast Height):\n\nTotal root biomass (grams of dry mass per metre square) was measured at 8 sites (blanket bog, soligenous mire and flush, acid grassland, broadleaved woodland, improved grassland and semi-improved grassland). Topsoil (0-15 cm) soil cores were taken in three locations at each site. Aboveground vegetation was removed. Samples separated into 5 cm intervals and then washed with water to remove any soil or stones. Roots were collected in sieves and placed into an 80 degree oven to remove any water content and enable a calculation of the dry weight of the roots. Total root biomass was calculated as the sum of roots from the three soil intervals. The full details are available in the supporting documentation accompanying this dataset (Turf2Surf_WP2_Supporting_documentation.rtf).\n\n All results were entered into Excel spreadsheets. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"metadataDate":"2026-08-26T07:12:39.000Z","orcid":["0000-0003-2750-7832","0000-0003-4649-0677","0000-0001-5645-3373","0000-0003-2869-0616","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/46bb0117-ed5d-4167-a375-d84d1237cf21","10.5285/46bb0117-ed5d-4167-a375-d84d1237cf21","doi:10.5285/46bb0117-ed5d-4167-a375-d84d1237cf21"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of, standing aboveground biomass,  and belowground biomass measurements, from sites in the Conwy catchment. Standing aboveground biomass was measured at 7 sites and belowground biomass measurements were made at 8 sites. Data were collected in 2013…","state":"published","supplementalName":["T2S website"],"temporalExtentText":"Data collected from 2013 to 2014","title":"Plant aboveground and belowground standing biomass measurements in the Conwy catchment in North Wales (2013 and 2014)","topic":["0/Biodiversity/","0/Ecosystem services/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Warner","Heeney","Bowen","Crowley"],"authorFullName":["Warner, E.","Heeney, W.","Bowen, D.","Crowley, L."],"authorGivenName":["E.","W.","D.","L."],"authorOrcid":["0000-0003-2236-9725"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations of woodland type (native broadleaf vs sitka spruce), enhanced weathering (with/without basalt addition), and soil microbiome inoculation (with/without soil from mature habitat type), compared to a grassland control treatment. \nThe experiment was established in April 2021 and aims to assess strategies for maximising woodland carbon storage. The biodiversity data from each experimental plot was collected in summer 2023. \n","documentType":"GEMINI_DOCUMENT","familyName":["Warner","Heeney","Bowen","Crowley"],"fullName":["Warner, E.","Heeney, W.","Bowen, D.","Crowley, L."],"funder":["Natural Environment Research Council","Leverhulme Trust"],"givenName":["E.","W.","D.","L."],"grant":["NE/W004976/1"],"identifier":"dea46de1-9072-4342-b944-e485ccc1324a","incomingCitationCount":0,"keyword":["Biodiversity","Environmental survey","invertebrates","plant biodiversity","soil carbon","enhanced weathering","soil microbiome inoculation","woodland and forest","The Carbon Community"],"keywordsOther":["invertebrates","plant biodiversity","soil carbon","enhanced weathering","soil microbiome inoculation","woodland and forest","The Carbon Community"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The experiment has a randomised blocked design, with 8 blocks of the 9 treatments, giving a total of 72 replicate plots. \nInvertebrate samples were collected from the soil (invertebrates extracted from soil cores using Tullgren funnels), ground layer (pitfall trapping) and tree canopy (beating) in June/July 2023. Invertebrates were identified to a minimum of Order in the lab in autumn/winter 2023. All carabid beetles from the pitfall trap samples were identified to species.\nPlant data was recorded directly in the field in June/July 2023, with percentage cover estimates assigned using the DOMIN scale.\n","locations":["POLYGON((-3.752 52.057, -3.752 52.065, -3.743 52.065, -3.743 52.057, -3.752 52.057))"],"metadataDate":"2026-07-25T14:25:10.000Z","orcid":["0000-0003-2236-9725"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dea46de1-9072-4342-b944-e485ccc1324a","10.5285/dea46de1-9072-4342-b944-e485ccc1324a","doi:10.5285/dea46de1-9072-4342-b944-e485ccc1324a"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biodiversity data focussing on invertebrates (soil, ground, tree canopy), and plants collected from The Carbon Community woodland creation experiment in Wales. This includes measurements from 72 plots, covering experimental treatment combinations…","state":"published","temporalExtentText":"Data collected from 2021 to 2023","title":"Invertebrate and plant biodiversity data from a woodland creation experiment, collected two years post-establishment, Wales, 2023","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Pywell","Peyton","Nuttall","Sarlej"],"authorFullName":["Griffiths, R.","Pywell, R.F.","Peyton, J.","Nuttall, P.","Sarlej, R."],"authorGivenName":["R.","R.F.","J.","P."],"authorOrcid":["0000-0001-6431-9959","0000-0002-8313-6194"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the codes for water laboratory analysis, sampling dates and locations for soil samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It contains soil chemistry data for metals and mineral contents of samples soils. It should be used in conjunction with datasets describing soil bacteria and soil eukaryote operational taxonomic unit sequence data.","documentType":"GEMINI_DOCUMENT","familyName":["provider","Griffiths","Pywell","Peyton","Nuttall","Sarlej"],"fullName":["provider, R.","Griffiths, R.","Pywell, R.F.","Peyton, J.","Nuttall, P.","Sarlej, R."],"givenName":["Resource","R.","R.F.","J.","P.","Robert"],"identifier":"de35d4ea-e75e-464c-b82f-2c2c1402cf8e","incomingCitationCount":0,"keyword":["Tellus","South West project","Soil"],"keywordsProject":["Tellus","South West project"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Field Method description: Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. Soil samples: A range of soils were targetedfrom the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soilstaken according to the following protocol: The exact location of each sample site was determined using a Garmin GPS12. Soil samples were kept in the cold and removed to the laboratory for analyses. ","locations":["POLYGON((-4.307 50.533, -4.307 50.737, -4.191 50.737, -4.191 50.533, -4.307 50.533))"],"metadataDate":"2026-07-25T14:24:55.000Z","orcid":["0000-0001-6431-9959","0000-0002-8313-6194"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/de35d4ea-e75e-464c-b82f-2c2c1402cf8e","10.5285/de35d4ea-e75e-464c-b82f-2c2c1402cf8e","doi:10.5285/de35d4ea-e75e-464c-b82f-2c2c1402cf8e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the codes for water laboratory analysis, sampling dates and locations for soil samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It contains soil chemistry data for metals and mineral contents of…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Location and identification of soil sample sites from the Wolf and Tamar catchment ","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution\n\nThe target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats.\n\nThe aggregate data ,groups some of the more specialised target classes into more general classes and comprises 10 classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"givenName":["Chris"],"identifier":"830ff9af-561b-4c4b-9919-4a7ff4f35ef5","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T12:01:11.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-31T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/830ff9af-561b-4c4b-9919-4a7ff4f35ef5"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2024 at 1 kilometre resolution\n\nThe target data comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats.\n\nThe aggregate data ,groups some of the more specialised target classes into…","state":"published","title":"Land Cover Map 2024 1km web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of East Anglia","Universidade de Lisboa"],"authorFamilyName":["Buchan","Gilroy","Catry","Franco"],"authorFullName":["Buchan, C.","Gilroy, J.J.","Catry, I.","Franco, A.M.A."],"authorGivenName":["C.","J.J.","I.","A.M.A."],"authorOrcid":["0000-0001-6530-9971"],"authorRor":["https://ror.org/026k5mg93","https://ror.org/01c27hj86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a dataset generated from information extracted from previously published studies, for the purpose of a meta-analysis investigating fitness benefits of different migratory strategies in partially migratory populations.\n\nEach line of data includes a mean and associated variance for a given fitness metric for both migrants and residents extracted from a study, in addition to information concerning population location, study species, type of fitness metric, year data were collected, and details on the publication from which the data were obtained. \n\nData were collected as part of a NERC-funded PhD project, grant number NE/L002582/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Buchan","Gilroy","Catry","Franco"],"fullName":["Buchan, C.","Gilroy, J.J.","Catry, I.","Franco, A.M.A."],"funder":["Natural Environment Research Council"],"givenName":["C.","J.J.","I.","A.M.A.","Claire"],"grant":["NE/L002582/1"],"identifier":"1a4e8d59-e112-4de6-a06b-9ea47ff15815","incomingCitationCount":1,"keyword":["Animal behaviour","Biodiversity","Alauda arvensis","Alces alces","Aldabrachelys gigantea","Caretta caretta","Cervus elaphus","Ciconia ciconia","Cinclus mexicanus","Cygnus columbanius","Falco columbarius","Notophthalmus viridescens","Odocoileus virginianus","Otis tarda","Otus elegans botelensis","Phalacrocorax aristotelis","Platalea leucorodia leucorodia","Salmo trutta","Salvelinus fontinalis","Turdus merula"],"keywordsOther":["Alauda arvensis","Alces alces","Aldabrachelys gigantea","Caretta caretta","Cervus elaphus","Ciconia ciconia","Cinclus mexicanus","Cygnus columbanius","Falco columbarius","Notophthalmus viridescens","Odocoileus virginianus","Otis tarda","Otus elegans botelensis","Phalacrocorax aristotelis","Platalea leucorodia leucorodia","Salmo trutta","Salvelinus fontinalis","Turdus merula"],"keywordsTheme":["Animal behaviour","Biodiversity"],"licence":"Open government licence","lineage":"Studies were identified through a literature search carried out in December 2017, in which we retained any study which compared direct fitness measures for migrants and residents from within the same partially migratory population. We did not limit the search to any taxonomic group. Freely available grey literature were also included in the search.\n\nMeans and SDs were extracted directly from the publication where reported. Where these were not reported, they were calculated from other reported statistics, or extracted from plots displaying the necessary data using digitising software. Studies which did not report anything from which means and SDs could be calculated were excluded, as were those for which sample sizes were not reported.\n\nFull methods detailed in supporting information ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T19:15:09.000Z","orcid":["0000-0001-6530-9971"],"organisation":["University of East Anglia","Universidade de Lisboa","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a4e8d59-e112-4de6-a06b-9ea47ff15815","10.5285/1a4e8d59-e112-4de6-a06b-9ea47ff15815","doi:10.5285/1a4e8d59-e112-4de6-a06b-9ea47ff15815"],"resourceType":"Dataset","ror":["https://ror.org/026k5mg93","https://ror.org/01c27hj86","https://ror.org/04xw4m193"],"shortenedDescription":"This is a dataset generated from information extracted from previously published studies, for the purpose of a meta-analysis investigating fitness benefits of different migratory strategies in partially migratory populations.\n\nEach line of data includes a mean and associated…","state":"published","temporalExtentText":"Data collected from 1979 to 2017","title":"Survival and reproductive success of migrant and resident wildlife in published studies of partially migratory populations","topic":["0/Animal behaviour/","0/Biodiversity/"],"version":1.0,"view":["public","phtr"]},{"availability":"Available","catalogue":"eidc","description":"This is a web map service (WMS) for the 10-metre Land Cover Map 2022.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"funder":["Natural Environment Research Council"],"givenName":["Chris"],"grant":["NE/R016429/1"],"identifier":"4728dd2d-064f-4532-be85-ecafc283bdcf","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","UK-SCAPE","infoMapAccessService","Web map service","WMS","Land cover map"],"keywordsOther":["UK-SCAPE","infoMapAccessService","Web map service","WMS","Land cover map"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:44:44.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-17T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4728dd2d-064f-4532-be85-ecafc283bdcf"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the 10-metre Land Cover Map 2022.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Land Cover Map 2022 10m web map service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Edinburgh","University of Zimbabwe","Universidade Eduardo Mondlane","Universidade Lurio","Universidade Zambeze","Centro polivalente Leão Dehon"],"authorFamilyName":["Woollen","Grundy","Bechel","Ryan","Nhaduco","Daude","Manguiao","Da Costa","Lisboa","Junior","Mutemba","Pais","Zavale","Cumbula","Xerinda","Buque","Meneses","Rodrigues","Mário","Ribeiro","Domingos","Mbandze","Armando","Jennings"],"authorFullName":["Woollen, E.","Grundy, I.","Bechel, A.","Ryan, C.M.","Nhaduco, O.","Daude, I.A.","Manguiao, A.A.","Da Costa, A.A.","Lisboa, S.N.","Junior, J.F.","Mutemba, L.","Pais, A.","Zavale, M.","Cumbula, S.","Xerinda, H.","Buque, H.","Meneses, D.","Rodrigues, C.","Mário, A.M.","Ribeiro, N.","Domingos, L.P.","Mbandze, A.","Armando, F.","Jennings, P."],"authorGivenName":["E.","I","A.","C.M.","O.","I.A.","A.A.","S.N.","J.F.","L.","M.","S.","H.","D.","C.","A.M.","N.","L.P.","F.","P."],"authorOrcid":["0000-0002-6504-4835","0000-0002-4552-0961","0000-0002-1802-0128"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/04ze6rb18","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/02azgvq37"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Lists of local tree names were collated from several forest plots and agricultural field surveys occurring within the sampled villages, and their species identified in the field by the authors and/or from dried and pressed samples by botanists at the Universidade Eduardo Mondlane in Maputo. Tree species uses by local populations were recorded through a mixture of key informant interviews, focus group discussions, village surveys and ad-hoc observations. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique.","documentType":"GEMINI_DOCUMENT","familyName":["Woollen","Grundy","Bechel","Ryan","Nhaduco","Daude","Manguiao","Da Costa","Lisboa","Junior","Mutemba","Pais","Zavale","Cumbula","Xerinda","Buque","Meneses","Rodrigues","Mário","Ribeiro","Domingos","Mbandze","Armando","Jennings"],"fullName":["Woollen, E.","Grundy, I.","Bechel, A.","Ryan, C.M.","Nhaduco, O.","Daude, I.A.","Manguiao, A.A.","Da Costa, A.A.","Lisboa, S.N.","Junior, J.F.","Mutemba, L.","Pais, A.","Zavale, M.","Cumbula, S.","Xerinda, H.","Buque, H.","Meneses, D.","Rodrigues, C.","Mário, A.M.","Ribeiro, N.","Domingos, L.P.","Mbandze, A.","Armando, F.","Jennings, P."],"funder":["Natural Environment Research Council"],"givenName":["E.","I","A.","C.M.","O.","I.A.","A.A.","S.N.","J.F.","L.","M.","S.","H.","D.","C.","A.M.","N.","L.P.","F.","P."],"grant":["NE/K010395/1"],"identifier":"52371ef0-855f-40c8-8567-f8965f9cbf03","incomingCitationCount":0,"keyword":["Mozambique","Africa","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District"," Zambezia Province","Ecosystem services","firewood","construction","medicine","cultural","hunting","cultural heritage","food","charcoal"],"keywordsOther":["firewood","construction","medicine","cultural","hunting","cultural heritage","food","charcoal"],"keywordsPlace":["Mozambique","Africa","Mabalane District","Gaza Province","Marrupa District","Niassa Province","Gurue District"," Zambezia Province"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"All data were quality assured by the first and second author. When in the field, all teams were trained in data collection methods to ensure consistent robust records. All field teams had a translator to translate from the local language to Portuguese or English. All observations recorded in Portuguese were translated to English by the lead author. If several different species were identified for the same local name a preference for the identification made in the field, rather than that of the dried sample, was made, as correct identification of whole trees are more likely to be correct. If identification was very uncertain, species were labelled as 'unknown'. Grouping all recorded local tree names and synonyms into similar sounding/spelled groups to assign a standardized local name was done by the lead for consistency.","locations":["POLYGON((29.68 -27.479, 29.68 -10.347, 42.248 -10.347, 42.248 -27.479, 29.68 -27.479))"],"metadataDate":"2026-09-15T08:36:56.000Z","orcid":["0000-0002-6504-4835","0000-0002-4552-0961","0000-0002-1802-0128"],"organisation":["University of Edinburgh","University of Zimbabwe","Universidade Eduardo Mondlane","Universidade Lurio","Universidade Zambeze","Centro polivalente Leão Dehon","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/52371ef0-855f-40c8-8567-f8965f9cbf03","10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03","doi:10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04ze6rb18","https://ror.org/05n8n9378","https://ror.org/03sbnrq14","https://ror.org/02azgvq37","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages…","state":"published","temporalExtentText":"Data collected from 2014 to 2014; Data collected from 2015 to 2015","title":"Local tree names, uses and species identification in Mozambique","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading"],"authorFamilyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"authorFullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"authorGivenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"authorOrcid":["0000-0001-7821-4998","0000-0003-3825-4156","0000-0002-5941-7770","0000-0003-1320-315X","0000-0002-2158-141X","0000-0001-7294-6039","0000-0002-7419-0850","0000-0003-3970-8172","0000-0002-5240-0351","0000-0002-0679-2219","0000-0002-2165-5239","0000-0003-1821-8561"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\n\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required to calculate the anthropogenic fossil fuel emissions as the residual of the yearly changes. Also included are the global warming variables, fractional land-cover, natural wetland extent and methane (CH4) flux and the soil temperature and moisture content for additional analysis.\n\nThe spatial coverage is global with spatial resolution of the data is 2.5 degrees latitude, 3.75 degrees longitude. \n\nThis dataset is the model output that was used in Comyn-Platt et al (2018) [\nComyn-Platt, E. et al. (2018). Carbon budgets for 1.5 and 2C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience. https://doi.org/10.1038/s41561-018-0174-9]","documentType":"GEMINI_DOCUMENT","familyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"fullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"givenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"identifier":"1cebd79c-02e7-475a-a1da-1f26a963d41e","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsOther":["carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"These data contain 12 sets (4 model configurations x 3 temperature pathways) of annual model output from JULES driven by 34 different GCM climate patterns as described in the IMOGEN system. \n\nThe four model configurations included are:\n- 'BLco' - Baseline, or control, configuration without methane feedback.\n- 'CH4_lowQ10' - CH4 feedback configuration with a low temperature sensitivity methanogenesis scheme.\n- 'CH4_poorFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'poor fen' type wetlands.\n- 'CH4_richFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'rich fen' type wetlands.\n\nThe three temperature scenarios included are:\n- '2deg' - Stabilisation at 2 deg C by 2100 from below\n- '1p5deg' - Stabilisation at 1.5 deg C by 2100 from below\n- '1p5degOS' - Stabilisation at 1.5 deg C by 2100 following an overshoot to 1.75 deg C\n\nFor full details of the methods used please refer to  Comyn-Platt et al. (2018) https://doi.org/10.1038/s41561-018-0174-9","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T19:17:40.000Z","orcid":["0000-0001-7821-4998","0000-0003-3825-4156","0000-0002-5941-7770","0000-0003-1320-315X","0000-0002-2158-141X","0000-0001-7294-6039","0000-0002-7419-0850","0000-0003-3970-8172","0000-0002-5240-0351","0000-0002-0679-2219","0000-0002-2165-5239","0000-0003-1821-8561"],"organisation":["Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cebd79c-02e7-475a-a1da-1f26a963d41e","10.5285/1cebd79c-02e7-475a-a1da-1f26a963d41e","doi:10.5285/1cebd79c-02e7-475a-a1da-1f26a963d41e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\n\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required…","state":"published","supplementalName":["JULES (the Joint UK Land Environment Simulator)"],"temporalExtentText":"Data collected from 1850 to 2100","title":"Natural wetland methane and permafrost thaw feedback modelling with JULES-IMOGEN (1850-2100)","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=availability%7CAvailable"}