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(experiment 2). Experiment 1 explores the use of herbicide and reseeding, whilst experiment 2 examines cutting and grazing in the spring, autumn and both seasons. Percentage cover of all vascular plant species were recorded in 50 cm x 50 cm quadrats in each treatment replicate for both experiments. Surveys were undertaken in 2019 as a baseline before the experiments commenced, and post treatment in 2020, 2021 and 2022. ","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Redhead","Upcott","Hulmes","Mitschunas","Howell","Christelow","Wickenden","Fussell","Plunkett","Pywell"],"fullName":["Ridding, L.E.","Redhead, J.W.","Upcott, E.V.","Hulmes, L.","Hulmes, S.","Mitschunas, N.","Howell, K.","Christelow, J.","Wickenden, A.R.","Fussell, M.","Plunkett, J.","Pywell, R.F."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["L.E.","J.W.","E.V.","L.","S.","N.","K.","J.","A.R.","M.","R.F."],"grant":["NE/N018125/1"],"identifier":"f15e64c0-db65-40ec-8b6d-50573f5f6694","incomingCitationCount":0,"keyword":["Hampshire","Dorset","Wiltshire","Brachypodium pinnatum","Tor-grass","cutting","reseeding","vascular plants","calcareous grassland","grazing","grassland","herbicide","nature reserve","National Nature Reserve"],"keywordsOther":["Brachypodium pinnatum","Tor-grass","cutting","reseeding","vascular plants","calcareous grassland","grazing","grassland","herbicide","nature reserve","National Nature Reserve"],"keywordsPlace":["Hampshire","Dorset","Wiltshire"],"licence":"Open government licence","lineage":"Three experimental blocks were established over dense patches of B. pinnatum for the herbicide spraying experiment (experiment 1). Each block consisted of four plots, each measuring 8 m x 5 m. Four treatments were randomly applied within each block: 1) spray and reseed, 2) spray and no reseed, 3) spray twice and reseed and 4) spray twice and no reseeding. All plots were first sprayed with glyphosate in September 2019, followed by a cut and removal of dead material in April 2020. For plots which required a second spray, this took place in June 2020, followed by another cut and removal in September 2020. Seeding on the relevant treatments was also carried out in September 2020, using seeds that were hand-collected throughout the season at Martin Down. For more detailed information on the seeding process, please see supporting document.\nOne large plot was established for the cut and graze experiment (experiment 2) over sparser cover of B. pinnatum, consisting of nine plots each measuring 20 m x 18 m. Three replicates of the three treatments were applied: autumn cut and graze (treatment 5), spring cut and graze (treatment 6), and both spring and autumn cut and graze (treatment 7). \nVegetation recording was carried out in late August/early September of 2019 (before all treatments were applied to provide a baseline), and post treatment in 2020, 2021 and 2022. For the spraying experiment, vegetation surveys were conducted within each plot by placing five 50 cm × 50 cm quadrats at approximately 1 m intervals (i.e. vertices of a “W”-shaped transect through the plot). Quadrats avoided the outermost 50 cm of each plot, where there was an increased potential for spray drift from adjacent areas. Within each quadrat, the percentage cover of B. pinnatum, all other vascular plants and bare ground were recorded. A total of seven quadrats in each plot were recorded for the cut and graze experiment, since they were larger and the cover of B. pinnatum was more variable. Five quadrats in a diamond formation in the centre (5 m apart) were recorded, as well as two quadrats on the edge of each plot (avoiding the outermost 2 m).\nData were collected by experienced field ecologists, the same ecologists carried out all surveys. Paper data sheets were digitised into Excel and were checked for any anomalies.\n","locations":["POLYGON((-1.959 50.958, -1.959 50.992, -1.902 50.992, -1.902 50.958, -1.959 50.958))"],"metadataDate":"2026-07-25T18:05:06.000Z","orcid":["0000-0003-3141-8795","0000-0002-2233-3848","0000-0003-1133-3102","0000-0001-9622-1622","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Hampshire County Council","Natural England","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f15e64c0-db65-40ec-8b6d-50573f5f6694","10.5285/f15e64c0-db65-40ec-8b6d-50573f5f6694","doi:10.5285/f15e64c0-db65-40ec-8b6d-50573f5f6694"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01vd10e19","https://ror.org/00r66pz14","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation data from field surveys undertaken at two experimental trials at Martin Down NNR, to investigate the potential for reducing dense Brachypodium pinnatum cover (experiment 1) and preventing further expansion of sparse cover (experiment 2). Experiment 1 explores…","state":"published","temporalExtentText":"Data collected from 2019 to 2022","title":"Vegetation data from experimental trials to investigate the control of Brachypodium pinnatum at Martin Down National Nature Reserve, UK, 2019-2022","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","2ie Burkina Faso"],"authorFamilyName":["Miller","Fowe","Coulibably"],"authorFullName":["Miller, J.D.","Fowe, T.","Coulibably, G."],"authorGivenName":["J.D.","T.","G."],"authorOrcid":["0000-0002-7705-8898"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0138r3j35"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset represents the hydro-meteorological monitoring activities undertaken in Ouagadougou, Burkina Faso, during 2016-2018, as part of the DFID funded AMMA-2050 (African Monsoon Multidisciplinary Analysis) project (amma2050.org). The data comprises time series of rainfall, water level and river flow recorded at locations across Ouagadougou city for the purposes of building an understanding of hydrological function and hydrological model development. In-situ data were collected using tipping bucket raingauges and pressure level sensors, with spot gauging of river flows used to develop rating curves used to derive flow from level measurements in channels. \n\nThe network was designed and set-up by the UK Centre for Ecology and Hydrology (UKCEH) and maintained by the Institut International D'ingénierie De L'eau Et De L'environnement (2iE) and processing was undertaken by UKCEH.","documentType":"GEMINI_DOCUMENT","familyName":["Miller","Fowe","Coulibably"],"fullName":["Miller, J.D.","Fowe, T.","Coulibably, G.","Miller, J."],"givenName":["J.D.","T.","G.","James"],"identifier":"30ae0230-e352-4a82-901d-ac1d42449044","incomingCitationCount":0,"keyword":["Ouagadougou","Burkina Faso","African Monsoon Multidisciplinary Analysis (AMMA-2050)","Climate and climate change","hydrology","water level","river flow"," rainfall"],"keywordsOther":["hydrology","water level","river flow"," rainfall"],"keywordsPlace":["Ouagadougou","Burkina Faso"],"keywordsProject":["African Monsoon Multidisciplinary Analysis (AMMA-2050)"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Flow data were derived from monitored depths during storm events using the derived ratings for each location, whereby flow is a function of depth and velocity, and velocity data were obtained from spot gauging during storms that occurred in the wet seasons over 2016-2017. Erroneous measurements were removed after visual inspection of the rating curve. Final rating curves linking depth to flow were derived for each site and applied to time series depth data to derive a time series of flow. Rainfall and dam level data were visually inspected to remove erroneous values","locations":["POLYGON((-1.58 12, -1.58 12.5, -1.42 12.5, -1.42 12, -1.58 12))"],"metadataDate":"2026-07-24T20:33:50.000Z","orcid":["0000-0002-7705-8898"],"organisation":["UK Centre for Ecology & Hydrology","2ie Burkina Faso","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/30ae0230-e352-4a82-901d-ac1d42449044","10.5285/30ae0230-e352-4a82-901d-ac1d42449044","doi:10.5285/30ae0230-e352-4a82-901d-ac1d42449044"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0138r3j35","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset represents the hydro-meteorological monitoring activities undertaken in Ouagadougou, Burkina Faso, during 2016-2018, as part of the DFID funded AMMA-2050 (African Monsoon Multidisciplinary Analysis) project (amma2050.org). The data comprises time series…","state":"published","temporalExtentText":"Data collected from 2016 to 2018","title":"Urban hydro-meteorological observation data 2016-2018 for Ouagadougou, Burkina Faso","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey"],"authorFamilyName":["Keith","Cave","Dodd","Smart","Turner","Tye","Wood"],"authorFullName":["Keith, A.M.","Cave, M.R.","Dodd, B.A.","Smart, S.M.","Turner, G.","Tye, A.M.","Wood, C.M."],"authorGivenName":["A.M. 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The analyses were conducted as part of study aiming to quantify how soil quality indicators change across a gradient of agricultural land management and to identify conditions that determine the ability of different soils to resist and recover from perturbations.","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Cave","Dodd","Smart","Turner","Tye","Wood"],"fullName":["Keith, A.M.","Cave, M.R.","Dodd, B.A.","Smart, S.M.","Turner, G.","Tye, A.M.","Wood, C.M.","Keith, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M. ","M.R.","B.A.","S.M.","G.","A.M.","C.M.","Aidan"],"identifier":"be3793b6-90fb-4e4c-9515-220cc33223b9","incomingCitationCount":0,"keyword":["Great Britain","England","Scotland","Wales","Soil","Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Soil","Land cover"],"licence":"Open government licence","lineage":"Soil samples were collected in 2007 by Countryside Survey field surveyors, who were provided with a field sampling manual and underwent training for sample collection and processing. Protocols were also provided to cover all aspects of processing of the soil cores from logging in of cores as they arrived at the laboratory to basic measurements, chemical analysis and archiving the final samples. Soils were sieved to 2 mm and air-dried before storage. \nPre-measurements were made on samples to determine the best aggregate masses to use for fine, medium and coarse texture soils; this obscuration values. During PSD analyses, a reference soil was analysed in each batch of measurements. Two standard particle size materials were also used throughout the series of analyses to check for accuracy and precision of the PSD measurements by the Laser granulometer instrument.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:43:54.000Z","orcid":["0000-0001-9619-1320","0000-0003-2752-7155","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/be3793b6-90fb-4e4c-9515-220cc33223b9","10.5285/be3793b6-90fb-4e4c-9515-220cc33223b9","doi:10.5285/be3793b6-90fb-4e4c-9515-220cc33223b9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of Particle Size Distribution (PSD) measurements made on 419 archived topsoil samples and derived aggregate stability metrics from arable and grassland habitats across Great Britain in 2007. Laser granulometry was used to measure PSD of 1–2 mm…","state":"published","temporalExtentText":"Data collected from 2007 to 2007","title":"Soil aggregate stability data from arable and grassland in Countryside Survey, Great Britain 2007 ","topic":["0/Soil/","0/Land cover/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Natural History Museum of London"],"authorFamilyName":["Ruggeri","Okamura"],"authorFullName":["Ruggeri, P.","Okamura, B."],"authorGivenName":["P","B"],"authorOrcid":["0000-0002-5433-508X","0000-0001-7279-715X"],"authorRor":["https://ror.org/039zvsn29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK.  Cristatella mucedo data additionally covers Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Ruggeri","Okamura"],"fullName":["Ruggeri, P.","Okamura, B."],"givenName":["P","B"],"identifier":"9d63e68b-2499-40fb-b05b-4fa2a55399fc","incomingCitationCount":0,"keyword":["UK","Scotland","Northern Ireland","Connectivity","Lakes","Rivers","Ponds","Fredericella sultana","Cristatella mucedo"],"keywordsOther":["Connectivity","Lakes","Rivers","Ponds","Fredericella sultana","Cristatella mucedo"],"keywordsPlace":["UK","Scotland","Northern Ireland"],"licence":"Open government licence","lineage":"Data has been generated using Sanger ABI-Prism 3130XL Genetic Analyzer and calling in base pairs (bp) the microsatellite fragments targeted via PCR amplification. The sequencing has been carried out at the core lab facility at the Natural History Museum of London (UK).","metadataDate":"2026-07-25T10:23:38.000Z","orcid":["0000-0002-5433-508X","0000-0001-7279-715X"],"organisation":["Natural History Museum of London","NERC EDS Environmental Information Data Centre","Natural History Museum"],"publicationDate":"2021-09-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9d63e68b-2499-40fb-b05b-4fa2a55399fc","10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc","doi:10.5285/9d63e68b-2499-40fb-b05b-4fa2a55399fc"],"resourceType":"Non-geographic dataset","rightsHolder":["Natural History Museum"],"ror":["https://ror.org/039zvsn29","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains genotypes (in three digit-format) for unique clones of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana at microsatellite loci and representing sampling sites across the UK.  Cristatella mucedo data additionally covers…","state":"published","title":"Microsatellite genotypes of the freshwater bryozoan species Cristatella mucedo and Fredericella sultana","version":1.0,"view":["public","glenn"]},{"availability":"Available","catalogue":"eidc","description":"This is a web map service (WMS) for the Land Cover Map 2024 at 25-metre resolution.  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."],"givenName":["Chris"],"identifier":"b68a92f8-e91d-40d2-aed9-6b21295cb094","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":"2026-08-25T13:56:13.000Z","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/b68a92f8-e91d-40d2-aed9-6b21295cb094"],"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 25-metre resolution.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","title":"Land Cover Map 2024 25m web map service (WMS)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of York","Natural History Museum"],"authorFamilyName":["Prendergast-Miller","Jones","Hodson"],"authorFullName":["Prendergast-Miller, M.T.","Jones, D.T.","Hodson, M.E."],"authorGivenName":["M.T.","D.T.","Mark E."],"authorOrcid":["0000-0002-3219-6250","0000-0002-8166-1526"],"authorRor":["https://ror.org/04m01e293","https://ror.org/039zvsn29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented on earthworm abundance with distance from hedgerows was recorded for arable fields and pasture leys at farms at Little Langton, Hutton Wandesley, Overton and Whenby, Yorkshire. Sampling was carried out 12 to 26th May 2016. Pits were excavated and soil hand sorted for earthworms. Mustard solution was then poured into the pit and any emerging earthworms collected. All earthworms were preserved in ethanol for identification using the Sims and Gerard Field studies key. At each pit the following measurements were also taken: soil moisture, soil temperature, soil bulk density. The samples were taken to determine the influence of leys on soil quality by Miranda Prendergast-Miller and colleagues as part of the SoilBioHedge project (Grant Reference NE/M017095/1) funded by the NERC Soil Security Programme. (Grant Reference NE/M017044/1).","documentType":"GEMINI_DOCUMENT","familyName":["Prendergast-Miller","Jones","Hodson"],"fullName":["Prendergast-Miller, M.T.","Jones, D.T.","Hodson, M.E."],"funder":["Natural Environment Research Council"],"givenName":["M.T.","D.T.","Mark E."],"grant":["NE/M017095/1","NE/M017044/1"],"identifier":"a5638d26-a8be-4409-ac51-42904069d919","incomingCitationCount":0,"keyword":["Agriculture","soil","earthworm","bulk density","soil moisture"],"keywordsOther":["soil","earthworm","bulk density","soil moisture"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Soil pits (18 x 18 x 15 cm) were excavated along transects and the soil hand sorted for earthworms. Mustard solution was then poured into the pit and any emerging earthworms collected. All earthworms were preserved in ethanol for identification using the Sims and Gerard Field studies key. At each pit the following measurements were also taken: three soil moisture readings in millivolts (mV) were taken at both 5 and 10 cm depth using a ML3 ThetaProbe Soil Moisture Sensor, (Delta-T Devices); single soil temperature measurements at 5 and 10 cm depth using a Checktemp®1 probe (Hanna Instruments); soil bulk density samples were taken at 5 and 15 cm soil depth using steel bulk density rings (118 cm3), soil density was calculated on an oven dry basis. The data were entered into Excel spreadsheets and exported as comma separated value files (csv) for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-1.581 53.89, -1.581 54.389, -0.975 54.389, -0.975 53.89, -1.581 53.89))"],"metadataDate":"2026-07-25T13:18:22.000Z","orcid":["0000-0002-3219-6250","0000-0002-8166-1526"],"organisation":["University of York","Natural History Museum","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-12-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5638d26-a8be-4409-ac51-42904069d919","10.5285/a5638d26-a8be-4409-ac51-42904069d919","doi:10.5285/a5638d26-a8be-4409-ac51-42904069d919"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/039zvsn29","https://ror.org/04xw4m193"],"shortenedDescription":"Data are presented on earthworm abundance with distance from hedgerows was recorded for arable fields and pasture leys at farms at Little Langton, Hutton Wandesley, Overton and Whenby, Yorkshire. Sampling was carried out 12 to 26th May 2016. Pits were excavated and…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Soil moisture, temperature and bulk density and earthworm abundance and biomass along transects in arable fields and ley strips in farms in North Yorkshire, England (2016)","topic":["0/Agriculture/"],"version":1.0,"view":["public","phtr"]},{"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"],"authorFamilyName":["Hood","Nemitz","Vieno","Liska","Scheffler","Beck","Carnell","Tomlinson","Pearson"],"authorFullName":["Hood, C.","Nemitz, E.","Vieno, M.","Liska, T.","Scheffler, J.","Beck, R.","Carnell, E.","Tomlinson, S.","Pearson, C."],"authorGivenName":["Christina","Eiko","Massimo","Tomas","Janice","Rachel","Edward","Samuel","Clare"],"authorOrcid":["0000-0001-9244-5696","0000-0002-1765-6298","0000-0001-7741-9377","0000-0001-9500-0633","0000-0002-7398-4237","0009-0005-9645-8001","0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-3274-1586"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset includes daily averaged atmospheric composition for the UK for key air pollutants nitrogen, sulphur, particulates and ozone for the years 2022 - 2024. The dataset was generated with the European Monitoring and Evaluation Programme for the UK (EMEP4UK) model version 5.0, modified to improve wet deposition rates. The underlying meteorology was generated using the Weather Research and Forecasting (WRF) model version 4.4.2. The UK emissions were taken from the 2025 release of the National Atmospheric Emissions Inventory (NAEI), with base year 2023.","documentType":"GEMINI_DOCUMENT","familyName":["Hood","Nemitz","Vieno","Liska","Scheffler","Beck","Carnell","Tomlinson","Pearson"],"fullName":["Hood, C.","Nemitz, E.","Vieno, M.","Liska, T.","Scheffler, J.","Beck, R.","Carnell, E.","Tomlinson, S.","Pearson, C."],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs"],"givenName":["Christina","Eiko","Massimo","Tomas","Janice","Rachel","Edward","Samuel","Clare","Christina "],"grant":["NE/Y006208/1"],"identifier":"ed9b9379-49b5-41b3-86d9-b88fb3e9f58d","incomingCitationCount":0,"keyword":["United Kingdom","Modelling","Pollution","modelling","outdoor air pollution"],"keywordsOther":["modelling","outdoor air pollution"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Modelling","Pollution"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK, with a grid resolution of about 3 km x 3 km, were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nKey input data to the EMEP4UK model (version 5.0 with slightly modified wet deposition) include:\n- anthropogenic emissions for the UK from the National Atmospheric Emissions Inventory (released 2025, base year 2023);\n- anthropogenic emissions for the Republic of Ireland from MapEire;\n- anthropogenic emissions for Europe from the Centre for Emissions Inventories and Projections;\n- UK land surface data from the Land Cover Map 2015; and\n- European land cover data and other default EMEP model inputs from the EMEP repository.\n\nThe deposited data were processed from the full EMEP4UK model output to a subset containing essential variables only. The netCDF Operators tools, version 5.3.3, were used to subset the model output.","locations":["POLYGON((-11 49.5, -11 61.2, 2.9 61.2, 2.9 49.5, -11 49.5))"],"metadataDate":"2026-07-25T14:53:25.000Z","orcid":["0000-0001-9244-5696","0000-0002-1765-6298","0000-0001-7741-9377","0000-0001-9500-0633","0000-0002-7398-4237","0009-0005-9645-8001","0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-3274-1586"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ed9b9379-49b5-41b3-86d9-b88fb3e9f58d","10.5285/ed9b9379-49b5-41b3-86d9-b88fb3e9f58d","doi:10.5285/ed9b9379-49b5-41b3-86d9-b88fb3e9f58d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes daily averaged atmospheric composition for the UK for key air pollutants nitrogen, sulphur, particulates and ozone for the years 2022 - 2024. The dataset was generated with the European Monitoring and Evaluation Programme for the UK (EMEP4UK) model…","state":"published","temporalExtentText":"Data collected from 2022 to 2024","title":"European Monitoring and Evaluation Programme Model for the UK (EMEP4UK) daily atmospheric composition and fluxes for 2022-2024","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Reinsch","Cagnarini","Emmett","Cosby"],"authorFullName":["Keith, A.","Reinsch, S.","Cagnarini, C.","Emmett, B.A.","Cosby, B.J."],"authorGivenName":["A.","S.","C.","B.A.","B.J."],"authorOrcid":["0000-0001-9619-1320","0000-0003-4649-0677","0000-0001-5106-2429","0000-0002-2713-4389","0000-0001-5645-3373"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains earthworm counts and identification from three long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland plot, respectively. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. The three   grassland-to-woodland contrasts were sampled once: Gisburn (Gisburn-1, Gisburn-2), and Kielder Forest.\n\nThe earthworms were counted in 25 cm3 soil cubes and were identified to a species level. These measurements are co-located with estimates aboveground biomass production and litter layer depth, soil physical, chemical and biological properties (0-1 m), and soil hydraulic measurements (soil water release curves and hydraulic conductivity). A file is provided to connect all co-located measurements.\n\nThis project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). ","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Reinsch","Cagnarini","Emmett","Cosby"],"fullName":["Keith, A.","Reinsch, S.","Cagnarini, C.","Emmett, B.A.","Cosby, B.J."],"funder":["Natural Environment Research Council"],"givenName":["A.","S.","C.","B.A.","B.J."],"grant":["NE/R016429/1"],"identifier":"2636c7e1-ec8c-4b77-9f4e-f731781191ca","incomingCitationCount":1,"keyword":["UK-SCAPE","Soil","SOC","carbon","woodland","topsoil","soil biology","co-located measurements","SOC-D","earthworm","soil","grassland"],"keywordsOther":["SOC","carbon","woodland","topsoil","soil biology","co-located measurements","SOC-D","earthworm","soil","grassland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Earthworm measurements were conducted in grids 2 and 5.\n\nThe earthworms were counted in 25 cm x 25 cm x 25 cm soil cubes in grids 2 and 5. The earthworms were stored in the fridge until identified to species level in the lab.  \n\nEarthworms were identified by a competent member of staff, and earthworm keys were used as additional resource.\n \nEarthworm counts were recorded on paper in the field and transferred to Microsoft Excel. Earthworm species numbers were recorded in a lab-book and transferred to the same Microsoft Excel. The file was then converted to csv.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T19:26:10.000Z","orcid":["0000-0001-9619-1320","0000-0003-4649-0677","0000-0001-5106-2429","0000-0002-2713-4389","0000-0001-5645-3373"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2636c7e1-ec8c-4b77-9f4e-f731781191ca","10.5285/2636c7e1-ec8c-4b77-9f4e-f731781191ca","doi:10.5285/2636c7e1-ec8c-4b77-9f4e-f731781191ca"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains earthworm counts and identification from three long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland plot, respectively. Each of the plots was…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Earthworm species identification and counts at three long-term grassland-to-woodland land use contrasts across England","topic":["0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"altTitle":["LWdown WFD","Surface incident longwave radiation WFD","Downwards long-wave radiation flux WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. LWdown or surface incident longwave radiation (also known as downwards long-wave radiation flux ) is the surface incident longwave radiation averaged over the next six hours, measured in W/m2 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"e5d00d66-dcf5-4b0e-9346-f6205a336385","incomingCitationCount":0,"keyword":["Modelling","land surface","atmosphere"],"keywordsOther":["land surface","atmosphere"],"keywordsTheme":["Modelling"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T14:50:00.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1314892215339","CEH:EIDC::1314892215339","https://catalogue.ceh.ac.uk/id/e5d00d66-dcf5-4b0e-9346-f6205a336385"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"temporalExtentText":"Data collected from 1911 to 2001","title":"WATCH forcing data (WFD) - 20th Century LWdown (surface incident longwave radiation) 1901-2001","topic":["0/Modelling/"],"version":1.0,"view":["public","rjsc"]},{"availability":"Unknown","catalogue":"eidc","description":"These datasets include rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales.\n\nStream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a UK Centre of Ecology & Hydrology (UKCEH) Edinburgh pattern lidded harp type passive collector. \n\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor.\n\nThe Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of long term hydrological and hydro-chemical research. Monitoring is funded by the UK Centre for Ecology & Hydrology, and is ongoing since 1968. ","documentType":"GEMINI_DOCUMENT","familyName":["Cosby","Norris"],"fullName":["Cosby, B.J.","Norris, D.A."],"givenName":["B.J.","D.A"],"identifier":"0392bf93-62b2-49f7-8c85-10038f22f0c0","incomingCitationCount":0,"keyword":["Plynlimon","Hafren","Severn","Gwy","Wye","Wales","Rainfall","River","Cloud Water","Bulk precipitation","Stream","Hydrochemistry","Water quality"],"keywordsOther":["Hydrochemistry","Water quality"],"keywordsPlace":["Plynlimon","Hafren","Severn","Gwy","Wye","Wales"],"keywordsTheme":["Rainfall","River","Cloud Water","Bulk precipitation","Stream"],"licence":"Non-Open government licence","lineage":"Sampling was carried out weekly from May 1983 to December 2011 and then fortnightly from January 2012. Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. From 1988 to 1999 water sampling was carried out by members of staff from the Institute of Hydrology based at Dolydd near the Plynlimon catchments. From 1999 sampling has been carried out from CEH Bangor. The laboratory analysis has been undertaken at different locations using different equipment during the years of monitoring represented within the datasets. Details of the analytical methods used for each determinand are included within the supporting information of the datasets. For the dataset Plynlimon research catchment hydrochemistry 44095e17-43b0-45d4-a781-aab4f72da025 data was collated from Excel spreadsheets held at CEH Wallingford added to an Access database maintained at CEH Bangor. For ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file. For the data presented in Plynlimon research catchment hydrochemistry (2011-2016) 794c609b-da62-4a42-a4c1-267219865bb1 results were reported back from the laboratories at CEH Lancaster to CEH Bangor as Excel spreadsheets. These data were then imported into an Access database.pH, conductivity and alkalinity analysis was carried out the CEH Bangor laboratories. Results were reported back as Excel spreadsheets. Field measurements and flow calculations were also added to these Excel spreadsheets. These data were then imported into the same Access database as the CEH Lancaster results. For ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file.\n\n","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-07-24T18:53:40.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0392bf93-62b2-49f7-8c85-10038f22f0c0"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"These datasets include rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales.\n\nStream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using…","state":"published","title":"Plynlimon Hydrochemistry data","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated"],"authorFamilyName":["Stephens","Iwanicka","Storeton-West"],"authorFullName":["Stephens, A.","Iwanicka, A.","Storeton-West, R."],"authorGivenName":["A.","R."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside  and the other is outside in the garden area . The garden backs onto grassland which is part of a large dairy farm. The ammonia measurements are taken from a set of UKCEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers from November 2018 to January 2021. Samplers are exposed in monthly cycles at the beginning of each month.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Storeton-West"],"fullName":["Stephens, A.","Iwanicka, A.","Storeton-West, R."],"givenName":["A.","R."],"identifier":"bac726a2-a26e-4d97-bf3f-1d530854120f","incomingCitationCount":0,"keyword":["ALPHA sampler","Pollution","ammonia"],"keywordsInstrument":["ALPHA sampler"],"keywordsOther":["ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Local site operator duties are completed by a private individual and analysis and plotting of results is completed by the UK Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month.\nData analysis and preparation is conducted using the AAGA data processing tool.","locations":["POLYGON((-3.635 55.624, -3.635 55.661, -3.521 55.661, -3.521 55.624, -3.635 55.624))"],"metadataDate":"2026-07-25T12:58:36.000Z","organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bac726a2-a26e-4d97-bf3f-1d530854120f","10.5285/bac726a2-a26e-4d97-bf3f-1d530854120f","doi:10.5285/bac726a2-a26e-4d97-bf3f-1d530854120f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements at two sites in a rural location in South Lanarkshire. The sites are located in a dwelling, one site is inside  and the other is outside in the garden area . The garden backs onto grassland which is part of a large…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Passive sampler ammonia measurements indoors and outdoors at a rural dwelling in South Lanarkshire, 2019-2020","topic":["0/Pollution/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of York"],"authorFamilyName":["Vandenkoornhuyse","Ridgway","Watson","Fitter","Young"],"authorFullName":["Vandenkoornhuyse, P.","Ridgway, K.P.","Watson, I.J.","Fitter, A.H.","Young, J.P.W."],"authorGivenName":["P.","K.P.","I.J.","A.H.","J.P.W."],"authorRor":["https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise arbuscular mycorrhizal (AM) fungi diversity data from Sourhope field experiment site.  AM fungi are biotrophic symbionts colonizing the majority of land plants, and are of major importance in plant nutrient supply.  Using the terminal restriction fragment length polymorphism (T-RFLP) strategy, the diversity of AM fungi was assessed in 89 roots of three grass species (Agrostis capillaris, Festuca rubra, Poa pratensis) that co-occurred in the same plots of the Sourhope field experiment. The impact of different soil amendments (nitrogen, lime, nitrogen and lime) and insecticide application on AM fungal community was also recorded.\n\nData were collected during a project funded under the NERC Soil Biodiversity Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Vandenkoornhuyse","Ridgway","Watson","Fitter","Young","Sier"],"fullName":["Vandenkoornhuyse, P.","Ridgway, K.P.","Watson, I.J.","Fitter, A.H.","Young, J.P.W.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["P.","K.P.","I.J.","A.H.","J.P.W.","Andy"],"identifier":"5aa0e9ee-9604-4cba-a1ae-5d6708cf6438","incomingCitationCount":0,"keyword":["Sourhope ","Scottish borders","T-RFLP ","terminal-restriction fragment length polymorphism","AM fungi","Arbuscular mycorrhizal fungi ","biological diversity","fungus"],"keywordsOther":["T-RFLP ","terminal-restriction fragment length polymorphism","AM fungi","Arbuscular mycorrhizal fungi ","biological diversity","fungus"],"keywordsPlace":["Sourhope ","Scottish borders"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  Samples were collected by students and staff from the University of York at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.244 55.466, -2.244 55.48, -2.218 55.48, -2.218 55.466, -2.244 55.466))"],"metadataDate":"2026-07-24T23:08:30.000Z","organisation":["University of York","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aa0e9ee-9604-4cba-a1ae-5d6708cf6438","10.5285/5aa0e9ee-9604-4cba-a1ae-5d6708cf6438","doi:10.5285/5aa0e9ee-9604-4cba-a1ae-5d6708cf6438"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise arbuscular mycorrhizal (AM) fungi diversity data from Sourhope field experiment site.  AM fungi are biotrophic symbionts colonizing the majority of land plants, and are of major importance in plant nutrient supply.  Using the terminal restriction…","state":"published","supplementalDescription":["Vandenkoornhuyse, P., Ridgway, K.P., Watson, I.J., Fitter, A.H. and Young, J.P.W., 2003. Co-existing grass species have distinctive arbuscular mycorrhizal communities. Molecular Ecology, 12(11), pp.3085-3095.","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. ","Website for the NERC Soil Biodiversity Programme \n"],"supplementalName":["Soil Biodiversity website"],"temporalExtentText":"Data collected from 2001 to 2001","title":"Arbuscular mycorrhizal fungi diversity data from Sourhope field experiment site, Scotland, 2001 [NERC Soil Biodiversity Programme]","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Newell","Harris","Wanless","Burthe","Bogdanova","Gunn","Daunt"],"authorFullName":["Newell, M.A.","Harris, M.P.","Wanless, S.","Burthe, S.","Bogdanova, M.","Gunn, C.M.","Daunt, F."],"authorGivenName":["M.A.","M.P.","S.","M.","C.M.","F."],"authorOrcid":["0000-0002-4723-175X","0000-0002-1342-430X","0000-0002-2788-4606","0000-0001-8871-3432","0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains calculated return rates for five seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual return rates are measured as the number of individually colour marked individuals seen in any one year that were also observed in the previous year for the Atlantic puffin (Fratercula arctica), common guillemot (Uria aalge), razorbill (Alca torda), European shag (Phalacrocorax aristotelis) and black-legged kittiwake (Rissa tridactyla). Not every individual is seen in any one year and the data set does not take into account those missed in any previous years hence these data are not to be treated as survival estimates.  In the dataset, each year is represented by a single row of data, there are five columns showing the calculated return rates for each species (indicated by its common name and suffixed 'RR').  The figure quoted in any row is the proportion of marked birds which are observed by the end of the stated breeding season.  Each row also contains the number of individuals seen in that year and the number seen in the previous year, taking into account new individuals which are marked.","documentType":"GEMINI_DOCUMENT","familyName":["Newell","Harris","Wanless","Burthe","Bogdanova","Gunn","Daunt"],"fullName":["Newell, M.A.","Harris, M.P.","Wanless, S.","Burthe, S.","Bogdanova, M.","Gunn, C.M.","Daunt, F.","Newell, M."],"funder":["Joint Nature Conservation Committee (JNCC)","Natural Environment Research Council"],"givenName":["M.A.","M.P.","S.","M.","C.M.","F.","Mark"],"grant":["NE/R016429/1"],"identifier":"1624fe45-0deb-4bcd-9f13-75578693aaae","incomingCitationCount":0,"keyword":["Isle of May","UK-SCAPE","Return rate","Atlantic Puffin","Black-legged kittiwake","Common guillemot","European shag","Razorbill","Long-term data","Uria aalge","Fratercula arctica","Alca torda","Rissa tridactyla","Phalacrocorax aristotelis"],"keywordsOther":["Return rate","Atlantic Puffin","Black-legged kittiwake","Common guillemot","European shag","Razorbill","Long-term data","Uria aalge","Fratercula arctica","Alca torda","Rissa tridactyla","Phalacrocorax aristotelis"],"keywordsPlace":["Isle of May"],"keywordsProject":["UK-SCAPE"],"licence":"Open government licence","lineage":"Standardised monitoring of seabirds commenced in 1987 at which point a proportion of the population of the five study species were individually colour marked.  As a result the first year of data examining return rate was in 1988 when these individuals returned to breed.  The number of plots of individually colour marked birds varies between species and new individuals are marked every year in order to ensure the marked population is maintained at an adequate level for analysis.","locations":["POLYGON((-2.597 56.168, -2.597 56.206, -2.517 56.206, -2.517 56.168, -2.597 56.168))"],"metadataDate":"2026-09-15T08:40:51.000Z","orcid":["0000-0002-4723-175X","0000-0002-1342-430X","0000-0002-2788-4606","0000-0001-8871-3432","0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1624fe45-0deb-4bcd-9f13-75578693aaae","10.5285/1624fe45-0deb-4bcd-9f13-75578693aaae","doi:10.5285/1624fe45-0deb-4bcd-9f13-75578693aaae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains calculated return rates for five seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual return rates are measured as the number of individually colour marked individuals seen in any one year that…","state":"published","temporalExtentText":"Data collected from 1988 to 2021","title":"The Isle of May long-term study (IMLOTS) seabird annual return rate 1988-2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Rhodes University","University of Sheffield","University of Michigan","University of Cape Town","Royal Botanic Garden Edinburgh"],"authorFamilyName":["Ripley","Simpson","Raubenheimer","Singini","Jones","Burgess","Carkeek","Cramer","Dixon","Field","Hawkins","Nell","Ngqiyaza","Pallett","Reynolds","Telford","Vetter","Lehmann","Osborne"],"authorFullName":["Ripley, B.","Simpson, K.","Raubenheimer, S.","Singini, E.","Jones, E.","Burgess, T.","Carkeek, R.","Cramer, M.","Dixon, R.","Field, K.","Hawkins, H.","Nell, R.","Ngqiyaza, N.","Pallett, N.","Reynolds, L.","Telford, E.","Vetter, S.","Lehmann, C.","Osborne, C."],"authorGivenName":["Brad","Kimberley","Sarah","Edith","Emma","Tebadi","Richard","Michael","Russell","Katie","Heidi","Rhys","Nozuko","Nita","Liam","Elizabeth","Susanne","Caroline","Colin"],"authorOrcid":["0000-0002-4546-2618","0000-0001-6673-227X","0000-0001-7219-4631","0000-0002-6077-6623","0000-0003-0989-3266","0000-0002-5196-2360","0000-0001-9334-0669","0000-0001-6894-4137","0000-0002-1511-1083","0000-0002-2063-5615","0000-0002-6825-124X","0000-0002-7423-3718"],"authorRor":["https://ror.org/016sewp10","https://ror.org/05krs5044","https://ror.org/00jmfr291","https://ror.org/03p74gp79","https://ror.org/0349vqz63"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides physiological, morphological, and functional trait measurements for twelve African savanna tree species belonging to the Vachellia and Senegalia genera (Fabaceae family). The data encompasses six species classified as encroaching (increasing in density in African savannas) and six non-encroaching species, facilitating comparative analysis of traits facilitating encroachment ability. The variables capture sapling responses to a factorial combination of environmental conditions, specifically atmospheric carbon dioxide concentration, water availability, and interspecific grass competition.\n\nThe dataset details plant performance under elevated CO2 versus ambient CO2 and contrasts well-watered and water-limited conditions. Furthermore, the data includes comparative metrics for trees grown with and without competition from the grass species Themeda triandra. All measurements were derived from saplings grown for 11 months in large pots containing local savanna soil within open-top chambers (Rhodes University Elevated CO2 Facility, Makhanda, South Africa), culminating in physiological assessments and destructive harvesting for morphological analysis.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/T000759/1).","documentType":"GEMINI_DOCUMENT","familyName":["Ripley","Simpson","Raubenheimer","Singini","Jones","Burgess","Carkeek","Cramer","Dixon","Field","Hawkins","Nell","Ngqiyaza","Pallett","Reynolds","Telford","Vetter","Lehmann","Osborne"],"fullName":["Ripley, B.","Simpson, K.","Raubenheimer, S.","Singini, E.","Jones, E.","Burgess, T.","Carkeek, R.","Cramer, M.","Dixon, R.","Field, K.","Hawkins, H.","Nell, R.","Ngqiyaza, N.","Pallett, N.","Reynolds, L.","Telford, E.","Vetter, S.","Lehmann, C.","Osborne, C.","Kimberley Simpson"],"funder":["Natural Environment Research Council"],"givenName":["Brad","Kimberley","Sarah","Edith","Emma","Tebadi","Richard","Michael","Russell","Katie","Heidi","Rhys","Nozuko","Nita","Liam","Elizabeth","Susanne","Caroline","Colin"],"grant":["NE/T000759/1"],"identifier":"f7b8e72f-9bbe-4a03-8140-fada73e95b8c","incomingCitationCount":0,"keyword":["Climate and climate change","Savanna encroachment","Woody thickening","Elevated CO2","Functional traits","Drought","Tree-grass competition"],"keywordsOther":["Savanna encroachment","Woody thickening","Elevated CO2","Functional traits","Drought","Tree-grass competition"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"Data Generation Process\n\nThe data were generated through a controlled split-plot experiment conducted at the Rhodes University Elevated CO2 Facility (RUECF) in Makhanda, South Africa.\n\nExperimental Setup and Environmental Monitoring \nData generation began with the establishment of pots in sixteen open-top chambers (OTCs) designed to impose specific environmental treatments. These treatments included manipulated atmospheric CO2 concentrations (ambient vs. elevated to ~550 ppm), water availability (automated daily irrigation vs. ambient rainfall), and interspecific competition (pots containing established Themeda triandra grass swards vs. bare soil). \n\nCultivation of Biological Material\nThe biological data component originated from twelve indigenous legume species (Vachellia and Senegalia spp.) selected based on their encroachment status. Seeds were heat-shocked to break dormancy, germinated and transplanted into the experimental OTCs. These saplings were grown under the assigned factorial treatment conditions for a period of 11 months (December 2021 - November 2022).\n\nData Acquisition\nFinal data collection was performed in two stages. In the month preceding harvest, physiological trait data were captured in situ. Subsequently, the experiment concluded with the destructive harvesting of all individuals. Morphological and functional trait data were then generated through the physical measurement and analysis of the harvested biomass.","locations":["POLYGON((-18.281 -36.315, -18.281 22.594, 52.385 22.594, 52.385 -36.315, -18.281 -36.315))"],"metadataDate":"2026-07-25T18:09:07.000Z","orcid":["0000-0002-4546-2618","0000-0001-6673-227X","0000-0001-7219-4631","0000-0002-6077-6623","0000-0003-0989-3266","0000-0002-5196-2360","0000-0001-9334-0669","0000-0001-6894-4137","0000-0002-1511-1083","0000-0002-2063-5615","0000-0002-6825-124X","0000-0002-7423-3718"],"organisation":["Rhodes University","University of Sheffield","University of Michigan","University of Cape Town","Royal Botanic Garden Edinburgh","NERC EDS Environmental Information Data Centre","University of Edinburgh"],"publicationDate":"2026-02-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7b8e72f-9bbe-4a03-8140-fada73e95b8c","10.5285/f7b8e72f-9bbe-4a03-8140-fada73e95b8c","doi:10.5285/f7b8e72f-9bbe-4a03-8140-fada73e95b8c"],"resourceType":"Dataset","rightsHolder":["University of Sheffield","Rhodes University","University of Edinburgh"],"ror":["https://ror.org/016sewp10","https://ror.org/05krs5044","https://ror.org/00jmfr291","https://ror.org/03p74gp79","https://ror.org/0349vqz63","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides physiological, morphological, and functional trait measurements for twelve African savanna tree species belonging to the Vachellia and Senegalia genera (Fabaceae family). The data encompasses six species classified as encroaching (increasing in…","state":"published","temporalExtentText":"Data collected from 2021 to 2022","title":"Physiological, morphological and functional traits of encroaching and non-encroaching savanna trees under contrasting CO2 concentrations, water stress, and grass competition, South Africa, 2022","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Birmingham","Durham University","University of Leeds"],"authorFamilyName":["Sambrook Smith","Hardy","Sinha"],"authorFullName":["Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S."],"authorGivenName":["G. H.","R. J.","S."],"authorOrcid":["0000-0003-1031-0160"],"authorRor":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["dat"],"description":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational Fluid Dynamics (CFD) model that is able to simulate flow both in the boundary layer flow and Brinkman layer. This allows simultaneous predictions of surface and subsurface flow in one numerical scheme. The analysis is applied to undertake a numerical sensitivity experiment to assess how bed permeability influences flow over bed forms typically found in river channels e.g. dunes.\n\nFor the latter the data simulates flow around biofilm-streamers in the laminar flow regime. Numerical simulations simulate the flapping motion of a single biofilm streamer. The major thrust of the study is to investigate the impact of changing Reynolds number on hydrodynamic characteristics of the ambient flow and the frequency of biofilm oscillation.","documentType":"GEMINI_DOCUMENT","familyName":["Sambrook Smith","Hardy","Sinha"],"fullName":["Sambrook Smith, G.H.","Hardy, R.J.","Sinha, S.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["G. H.","R. J.","S.","Greg"],"grant":["NE/K012819/1"],"identifier":"a1fbdde5-688d-4b48-9293-12ecf5563704","incomingCitationCount":1,"keyword":["Hydrology","dunes","computational fluid dynamics","hyporheic flow","CFD"],"keywordsOther":["dunes","computational fluid dynamics","hyporheic flow","CFD"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The numerical data was generated using computational fluid dynamics software. The permeable bed data was created using Phoenics and the biofilm streamer was created using OPENFOAM\n","metadataDate":"2026-07-25T13:16:49.000Z","orcid":["0000-0003-1031-0160"],"organisation":["University of Birmingham","Durham University","University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1fbdde5-688d-4b48-9293-12ecf5563704","10.5285/a1fbdde5-688d-4b48-9293-12ecf5563704","doi:10.5285/a1fbdde5-688d-4b48-9293-12ecf5563704"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/03angcq70","https://ror.org/01v29qb04","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The data contains numerical model simulations designed to assess the influence of a) a permeable bed on flow structures above and within the pore spaces of a bed and b) a biofilm streamer on the free flow structure. \n\nFor the former the data relates to a novel Computational…","state":"published","temporalExtentText":"Data collected from 2014 to 2017","title":"Numerical model output data on the interaction of flow with a permeable bed and biofilms","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Coventry University"],"authorFamilyName":["Dehnen-Schmutz","Adekola"],"authorFullName":["Dehnen-Schmutz, K.","Adekola, O.E."],"authorGivenName":["K.","O.E."],"authorOrcid":["0000-0001-5782-7488","0000-0001-6936-6797"],"authorRor":["https://ror.org/01tgmhj36"],"availability":"Available","catalogue":"eidc","dataFormat":["Waveform audio file (.wav)"],"description":"This dataset contains audio recordings of birds in four woodland plots invaded by the non-native species Rhododendron ponticum or Prunus laurocerasus and non-invaded control plots in the same woodlands. The four locations were in Wales; Nercwys Forest; Penllergare, Swansea; Aberkenfig; and Wye Valley, Cleddon Shoots. \n\nRecordings were conducted in hourly intervals in the morning and evening for one or two days in each location, between June and September 2023. The aim of the data collection was to analyse if any differences in the number of bird species and frequency of bird calls could be found between invaded and non-invaded woodland plots. This is the complete dataset. The work was supported by the Natural Environment Research Council (Grant NE/X013332/1).","documentType":"GEMINI_DOCUMENT","familyName":["Dehnen-Schmutz","Adekola"],"fullName":["Dehnen-Schmutz, K.","Adekola, O.E."],"funder":["Natural Environment Research Council"],"givenName":["K.","O.E."],"grant":["NE/X013332/1"],"identifier":"7f11ef69-36e6-4e42-b826-f11c158a0845","incomingCitationCount":0,"keyword":["AudioMoth v1.2.0","Wales","Aberkenfig","Penllergare","Nercwys Forest","Cleddon Shoots","Animal behaviour","Environmental survey","non-native species","alien species","invasive species","impact","audiovisual media","audio recording","Rhododendron ponticum","Prunus laurocerasus"],"keywordsInstrument":["AudioMoth v1.2.0"],"keywordsOther":["non-native species","alien species","invasive species","impact","audiovisual media","audio recording","Rhododendron ponticum","Prunus laurocerasus"],"keywordsPlace":["Wales","Aberkenfig","Penllergare","Nercwys Forest","Cleddon Shoots"],"keywordsTheme":["Animal behaviour","Environmental survey"],"licence":"Open government licence","lineage":"Pairs of audio recorders (AudioMoth v1.2.0, Open Acoustic Devices) were placed by volunteer citizen scientists in four woodland locations in Wales between June and September 2023. One was placed at the invaded plot and one at the control plot. The locations and sites were chosen by the volunteers who were recruited through events run in collaboration with the North Wales Wildlife Trust for engaged members of the public interested in citizen science and invasive species. Volunteer site choice was discussed with the research team before the recordings took place. Volunteers sent the data back to the research team or uploaded all files to an online data storage. Data were checked by the research team to verify recording had taken place. The data were not changed before uploading to the EIDC repository.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-09-15T08:45:24.000Z","orcid":["0000-0001-5782-7488","0000-0001-6936-6797"],"organisation":["Coventry University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f11ef69-36e6-4e42-b826-f11c158a0845","10.5285/7f11ef69-36e6-4e42-b826-f11c158a0845","doi:10.5285/7f11ef69-36e6-4e42-b826-f11c158a0845"],"resourceType":"Dataset","rightsHolder":["Coventry University"],"ror":["https://ror.org/01tgmhj36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains audio recordings of birds in four woodland plots invaded by the non-native species Rhododendron ponticum or Prunus laurocerasus and non-invaded control plots in the same woodlands. The four locations were in Wales; Nercwys Forest; Penllergare,…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Audio-recordings of birds from plots invaded by non-native plants (Rhododendron ponticum and Prunus laurocerasus) and non-invaded plots in four woodlands, Wales, 2023","topic":["0/Animal behaviour/","0/Environmental survey/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Hatton"],"authorFullName":["Reinsch, S.","Hatton, J.E."],"authorGivenName":["Sabine","Jade E."],"authorOrcid":["0000-0003-4649-0677","0000-0002-9408-7981"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset presents daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3).\n\nData were collected from the climate change field site Climoor that is located in Clocaenog forest, NE Wales. The experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8).\n\nData is an extension for the micromet datasets 1998-2015, 2015-2016, 2016-2021, 2022-2023, and 2024, covering the time period January 2025 to December 2025. Soil temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific. Temperature and moisture data are logged in minute intervals and are averaged as half-hourly.\n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning.\n\nData collection, processing and quality checks were carried out by UKCEH staff. More detailed information about the field site, measurements and related datasets can be found in the documentation accompanying the data. This research was supported by NERC, through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Hatton"],"fullName":["Reinsch, S.","Hatton, J.E.","Sabine Reinsch"],"funder":["Natural Environment Research Council"],"givenName":["Sabine","Jade E."],"grant":["NE/Y006208/1"],"identifier":"d8fb724c-9b03-4d83-86bc-ccc20eadcf61","incomingCitationCount":0,"keyword":["Climate and climate change","NC-UK","plot level data","climate change","heathland"],"keywordsOther":["NC-UK","plot level data","climate change","heathland"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals, automatically averaged to half-hourly by the data-logger and stored as such. Half-hourly data are transferred from loggers at the field site to UKCEH servers via a remote telemetry system. Each morning, the previous day's data are transferred.\n\nThe dataset combines daily data from temperature and soil moisture sensors in each experimental plot (there are nine plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Soil and air temperatures were measured with a T107 sensor, and soil moisture was measured with CS616 sensors, both from Campbell scientific.\n\nAn automated script transfers data to a shared network drive. Data quality checking was done at the end of each calendar year by an experienced member of the team. Data files were combined using an R script. Data were then averaged to daily records. Data was visually inspected and erroneous values were removed, taking into account the seasonal cycle. Data which were not recorded are marked with \"NA\", faulty data were replaced by \"-9999\". Data were saved as .csv.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-25T14:22:15.000Z","orcid":["0000-0003-4649-0677","0000-0002-9408-7981"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d8fb724c-9b03-4d83-86bc-ccc20eadcf61","10.5285/d8fb724c-9b03-4d83-86bc-ccc20eadcf61","doi:10.5285/d8fb724c-9b03-4d83-86bc-ccc20eadcf61"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3).\n\nData…","state":"published","temporalExtentText":"Data collected from 2025 to 2025","title":"Daily plot level (micro meteorological) data at the Climoor field site in Clocaenog Forest, UK, 2025","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorGivenName":["I.D.","H.","S.C."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr","Maberly"],"fullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"givenName":["I.D.","H.","S.C.","Heidrun"],"identifier":"8eab30af-25b4-4ac2-a470-411df9749464","incomingCitationCount":0,"keyword":["Lake District ","England","temperature profile ","meteorological data","lake ","freshwater"],"keywordsOther":["lake ","freshwater"],"keywordsPlace":["Lake District ","England"],"keywordsTheme":["temperature profile ","meteorological data"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Blelham Tarn are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2012 to 2015. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-2.986 54.393, -2.986 54.399, -2.971 54.399, -2.971 54.393, -2.986 54.393))"],"metadataDate":"2026-09-15T08:36:43.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8eab30af-25b4-4ac2-a470-411df9749464","10.5285/8eab30af-25b4-4ac2-a470-411df9749464","doi:10.5285/8eab30af-25b4-4ac2-a470-411df9749464"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Data from automatic water monitoring buoy from Blelham Tarn, 2012 to 2015","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Durham University"],"authorFamilyName":["Vesuviano","Mathias","Rahayu","Reaney"],"authorFullName":["Vesuviano, G.","Mathias, S.A.","Rahayu, R.","Reaney, S.M."],"authorGivenName":["G.","S.A.","R.","S.M."],"authorOrcid":["0000-0003-2157-8875","0000-0003-3054-9056","0000-0003-3063-2044"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains parameter values that maximize revised Kling Gupta Efficiency (KGE’) between modelled and observed daily mean river flows when running one of 24 different hydrological models with one of 21 different climatic input datasets in one of 33 different catchments across the Citarum basin or 5 catchments across the Ciliwung basin, both in Java island, Indonesia. This dataset was created as part of a study on the advantages and disadvantages of using existing hydrological models, primarily developed for temperate and cold climates, in a tropical volcanic region. The hydrological models were based on those created for MARRMoT v1.2 (10.5194/gmd-12-2463-2019), recoded as sequential models in the R programming language.\n\nThis work was supported by the Natural Environment Research Council (Grants NE/S00310X/1 and NE/S002790/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Vesuviano","Mathias","Rahayu","Reaney"],"fullName":["Vesuviano, G.","Mathias, S.A.","Rahayu, R.","Reaney, S.M."],"funder":["Natural Environment Research Council"],"givenName":["G.","S.A.","R.","S.M.","Gianni"],"grant":["NE/S00310X/1","NE/S002790/1"],"identifier":"f6cec7d4-edee-44b8-8f44-86d4f12ac72d","incomingCitationCount":0,"keyword":["Indonesia","Hydrology","Rainfall-runoff model","Model parameters"],"keywordsOther":["Rainfall-runoff model","Model parameters"],"keywordsPlace":["Indonesia"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The parameter set in each row of each file was selected from 100,000 candidate sets – being the one set that maximized KGE’ between modelled and observed river flow.\n\nFirst, 100,000 candidate parameter sets were generated by sampling the parameter values from uniform distributions with upper and lower limits suggested for each model parameter in the documentation of MARRMoT v1.2 (10.5194/gmd-12-2463-2019). Each model was input with one of 21 combinations of seven precipitation datasets of daily time resolution (AgMERRA, CHIRPS v2, CPC, MSWEP v2, PERSIANN-CDR, SA-OBS, Yanto (10.1038/sdata.2017.72)) and three evapotranspiration datasets of daily time resolution (AgMERRA, SA-OBS, Yanto) as climatic input data – for each catchment separately, catchment-average values were produced by identifying the catchment outline from a hydrologically corrected Digital Elevation Model  (HydroSHEDS v1.1 CON 15-arcsecond) and overlaying this into the gridded precipitation and evapotranspiration products. Daily mean runoff (the model outflow) was obtained for each of the 38 catchments for 2,100,000 cases (100,000 parameter sets with 7 precipitation and 3 evapotranspiration datasets). Then, modified Kling-Gupta Efficency (KGE’) between modelled and observed daily mean flow was found, ignoring the first three years of modelled flow as “spin-up”.\n\nFinally, the parameter set resulting in the highest KGE’ was saved for each catchment with each combination of input climatic data (38 catchments × 7 precipitation datasets × 3 evapotranspiration datasets = 798 parameter sets), for each model, resulting in the 24 files of 798 rows each that comprise this dataset. \n","locations":["POLYGON((106.758 -7.191, 106.758 -5.967, 108.005 -5.967, 108.005 -7.191, 106.758 -7.191))"],"metadataDate":"2026-07-25T18:08:25.000Z","orcid":["0000-0003-2157-8875","0000-0003-3054-9056","0000-0003-3063-2044"],"organisation":["UK Centre for Ecology & Hydrology","Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6cec7d4-edee-44b8-8f44-86d4f12ac72d","10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d","doi:10.5285/f6cec7d4-edee-44b8-8f44-86d4f12ac72d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains parameter values that maximize revised Kling Gupta Efficiency (KGE’) between modelled and observed daily mean river flows when running one of 24 different hydrological models with one of 21 different climatic input datasets in one of 33 different…","state":"published","supplementalDescription":["Knoben W.J.M, Freer J.E., Fowler K.J.A, Peel M.C. and Woods R.A.. 2019. Supplement of Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations. Geoscientific Model Development 12, 2463-2480"],"title":"Parameters for rainfall-runoff modelling in subcatchments of the Citarum basin, Java, Indonesia","topic":["0/Hydrology/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}