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The dust leaching experiment was set up in 2017 and the data show which elements and ions…","state":"published","title":"Water chemistry and algal pigments from dust leaching and dust addition experiments and from lake sediment cores in Kangerlussuaq, West Greenland, 2017-2018","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection of resistant strains is presented in the dataset as a binary result, along with mechanisms of resistance to third generation cephalosporins where relevant. In addition there is comprehensive farm management data including antibiotic usage data.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V. C."],"identifier":"c9bc537a-d1c5-43a0-b146-42c25d4e8160","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"1. Records of samples taken from 53 farms including date, type and descriptive location of sample. 2. Records of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin). 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T17:19:58.000Z","orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9bc537a-d1c5-43a0-b146-42c25d4e8160","10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160","doi:10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection…","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Sheffield"],"authorFamilyName":["Phoenix","Johnson","Muddimer","Leake","Cameron"],"authorFullName":["Phoenix, G.K.","Johnson, D.A.","Muddimer, S.P.","Leake, J.R.","Cameron, D.D."],"authorGivenName":["G.K.","D.A. ","S.P.","J.R.","D.D."],"authorOrcid":["https://orcid.org/0000-0002-0911-8107","https://orcid.org/0000-0001-8364-7616","https://orcid.org/0000-0002-5439-6544"],"authorRor":["https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources being labelled with radio-isotope 33P, such that uptake of this could be quantified by assessing the radioactivity of the plant tissue.  The plant species were grown in pots as monocultures, and as mixed communities containing all seven species.  The 33P labelled P sources that were injected into the soil were orthophosphate, DNA and calcium phosphate.  Assessment of the amount of 33P taken up was undertaken by harvesting and analysing plant shoots six days after the 33P source was injected into the soil.  The datasets contain biomass of the harvested plant material, its radioactivity as assessed by scintillation counting, and the calculated proportion of the 33P supplied that was taken up into plant shoots.\n\nThe data also contains % cover abundance values of the plant species from surveys undertaken at Wardlow Hay Cop, the limestone grassland from where the soil was sourced on which the plants were grown for the 33P addition study.","documentType":"GEMINI_DOCUMENT","familyName":["Phoenix","Johnson","Muddimer","Leake","Cameron"],"fullName":["Phoenix, G.K.","Johnson, D.A.","Muddimer, S.P.","Leake, J.R.","Cameron, D.D.","Phoenix, G."],"funder":["Natural Environment Research Council"],"givenName":["G.K.","D.A. ","S.P.","J.R.","D.D.","Gareth"],"identifier":"87cdc267-a8c7-4f59-83b4-1bceaae837ad","incomingCitationCount":0,"keyword":["Biodiversity","Soil","phosphorus","Phosphorus-33"],"keywordsOther":["phosphorus","Phosphorus-33"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"The work was undertaken in experimental greenhouses at the University of Sheffield, U.K.  Each combination of plant species monoculture and type of P source injected was replicated 7 times.  The plant cover survey data was taken in 2011, and consists of 30 quadrats, each 50cm x 50cm.  Wardlow Hay Cop from where the limestone grassland survey was taken is located at 53°15'41\"N, 1°43'56\"W.","locations":["POLYGON((-1.663 53.309, -1.663 53.446, -1.286 53.446, -1.286 53.309, -1.663 53.309))"],"metadataDate":"2026-06-29T16:18:35.000Z","orcid":["https://orcid.org/0000-0002-0911-8107","https://orcid.org/0000-0001-8364-7616","https://orcid.org/0000-0002-5439-6544"],"organisation":["University of Sheffield","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/87cdc267-a8c7-4f59-83b4-1bceaae837ad","10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad","doi:10.5285/87cdc267-a8c7-4f59-83b4-1bceaae837ad"],"resourceType":"Dataset","ror":["https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprises of the uptake of the plant nutrient phosphorus (P) by seven common and often co-occurring herbaceous plants grown in limestone grassland soil in pots.  P uptake is from one of three different sources of P that were injected into the soil, with the P sources…","state":"published","title":"Phosphorus-33 uptake by seven grassland plant species from three contrasting soil phosphorus chemical forms","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Esri file geodatabase"],"description":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.  LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.\n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.","Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["Clare","C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"6c6c9203-7333-4d96-88ab-78925e7a4e73","incomingCitationCount":79,"keyword":["Land cover","Mapping","land cover"],"keywordsOther":["land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types.  The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon.  LCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T10:34:53.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-04-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6c6c9203-7333-4d96-88ab-78925e7a4e73","10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73","doi:10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain.  The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover…","state":"published","title":"Land Cover Map 2015 (vector, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Horton","Svendsen","Williams","Spurgeon","Lahive"],"authorFullName":["Horton, A.A.","Svendsen, C.","Williams, R.","Spurgeon, D.","Lahive, E."],"authorGivenName":["A.A.","C.","R.","D.","E."],"authorOrcid":["https://orcid.org/0000-0001-6058-6048","https://orcid.org/0000-0001-7281-647X","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0001-9975-8521"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides numbers and types of plastic particles extracted from sediment samples of three tributaries of the river Thames: the River Leach, the River Lambourn and The Cut. These rivers are regularly monitored for a range of water quality and biological characteristics as part of the ongoing CEH Thames initiative project. Four sampling sites were selected based on the average percentage of effluent present in the river and population equivalent density to represent scenarios ranging from low sewage input and population equivalent density (Leach and Lanbourn) through an intermediate site (the Cut) to a site with high sewage input and population equivalent density (also in the Cut). The samples were collected between late August and early September 2014. \n\nThe data provides information on the site characteristics, dry weight of sediment analysed (in grams), number of microplastic particles extracted and characteristics of particles (including shape, colour and polymer type). Types of polymers identified include: polyethylene, polypropylene, polystyrene, polyvinyl chloride, polyethylene terephthalate, nylon and polyester.","documentType":"GEMINI_DOCUMENT","familyName":["Horton","Svendsen","Williams","Spurgeon","Lahive"],"fullName":["Horton, A.","Horton, A.A.","Svendsen, C.","Williams, R.","Spurgeon, D.","Lahive, E."],"givenName":["Alice","A.A.","C.","R.","D.","E."],"identifier":"93837492-408f-4349-8dcd-ee833e84e47e","incomingCitationCount":0,"keyword":["Pollution","Microplastics","Raman","polyethylene","polypropylene","nylon","polystyrene","polyester","polyethylene terephtalate","polyvinyl chloride","plastic","pollution","freshwater","sediment"],"keywordsOther":["Microplastics","Raman","polyethylene","polypropylene","nylon","polystyrene","polyester","polyethylene terephtalate","polyvinyl chloride","plastic","pollution","freshwater","sediment"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The average percentage effluent present in the river was estimated using the Low Flows 2000 (LF2000) WQX (Water Quality eXtension) model. The population equivalent density was calculated using population within the catchment area (of known area) served by the upstream sewage treatment works. This site characteristic data is given in the datasheet \n\nThamesMicroplastics_SamplingLocations.\nFour replicate sediment samples were taken at each site using a stainless steel scoop, collected into a 1 L glass jar. In the laboratory the 1 L sediment samples were wet-sieved and sediment in the size ranges 1-2 mm and 2-4 mm was retained for further analysis. Microplastic particles were extracted using a number of steps, consisting of manual sorting and density separation with zinc chloride solution (1.7-1.8 kg/L). Each sample comprised a different volume and weight following size-sieving, therefore the inclusion of dry weight data allows for the conversion of total microplastic particles into a concentration (e.g. particles/kg dry sediment) for comparability between samples (ThamesMicroplastics_NumberOfParticles). \n\nA subsample (20%) of particles were characterised by type and colour, with composition determined using Raman spectroscopy (ThamesMicroplastics_ParticleCharacteristics). Further details on the methods used for particle extraction and characterisation are available in the supporting information.","locations":["POLYGON((-2.625 51.087, -2.625 52.237, 0.557 52.237, 0.557 51.087, -2.625 51.087))"],"metadataDate":"2026-06-29T18:28:08.000Z","orcid":["https://orcid.org/0000-0001-6058-6048","https://orcid.org/0000-0001-7281-647X","https://orcid.org/0000-0003-3264-8760","https://orcid.org/0000-0001-9975-8521"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/93837492-408f-4349-8dcd-ee833e84e47e","10.5285/93837492-408f-4349-8dcd-ee833e84e47e","doi:10.5285/93837492-408f-4349-8dcd-ee833e84e47e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides numbers and types of plastic particles extracted from sediment samples of three tributaries of the river Thames: the River Leach, the River Lambourn and The Cut. These rivers are regularly monitored for a range of water quality and biological characteristics…","state":"published","supplementalDescription":["Horton, A.A., Svendsen, C., Williams, R. J., Spurgeon, D. J., & Lahive, E. (2017). Large microplastic particles in sediments of tributaries of the River Thames, UK - Abundance, sources and methods for effective quantification. Marine Pollution Bulletin, 114(1), 218-226. "],"title":"Microplastics in sediments of the River Thames Basin, UK","topic":["0/Pollution/"],"version":1.0,"view":["public","alihort"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National Nature Reserve (NNR), a UNESCO Biosphere Reserve and a European Special Protection Area. Habitats include exposed summits, extensive blanket peatlands, upland grasslands, pastures, hay meadows and deciduous woodland. Altitude ranges from 290 to 850 m. Moor House - Upper Teesdale is part of the Environmental Change Network (ECN) which is the UK's long-term environmental monitoring programme.","documentType":"GEMINI_DOCUMENT","identifier":"0c5c5e20-246e-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["North Pennines","England","Upper Teesdale","Moor house NNR","Environmental Change Network (ECN)","Land cover","National Nature Reserve","UNESCO Biosphere Reserve","Special Protection Area","SPA","infoMapAccessService","vegetation","soil","geology"],"keywordsOther":["National Nature Reserve","UNESCO Biosphere Reserve","Special Protection Area","SPA","infoMapAccessService","vegetation","soil","geology"],"keywordsPlace":["North Pennines","England","Upper Teesdale","Moor house NNR"],"keywordsProject":["Environmental Change Network (ECN)"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The soil map was originally created in 1963 by G.A.L. Johnson from methods outlined in Soil Map of the Moor House National Nature Reserve (1963), Westmorland. Soil Survey for the Nature Conservancy by GAL Johnson in The Geology of Moor House, a National Nature Reserve in north-east Westmorland / Johnson G.A.L., Dunham K.C., Monographs of the Nature Conservancy (No.2) 1963, HMSO. The geological map of the Moor House region was started in 1954. The survey was undertaken by G.A.L. Johnson under a grant by The Nature Conservancy (a forerunner of the Natural Environment Research Council). The original map was mapped on to a base map of 3 inches to the mile. The vegetation map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). Note that the reserve has been extended to Upper Teesdale, however these maps cover the Moor House area only. The paper maps were digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s.","locations":["POLYGON((-2.530 54.6, -2.530 54.73, -2.3 54.73, -2.3 54.6, -2.530 54.6))"],"metadataDate":"2025-11-03T09:43:29.000Z","organisation":["Centre of Ecology and Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-01-01T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["1413812238997","CEH:EIDC::1413812238997","https://catalogue.ceh.ac.uk/id/0c5c5e20-246e-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National…","state":"published","supplementalName":["ECN website"],"title":"Soil, vegetation and geology maps of the Moor House National Nature Reserve WMS","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"assist","description":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and associated ecosystem services including pollination, soil health and natural pest control.  Fifteen replicated sites (farms run by a single individual) were established in 2017 (monitored annually in 2018-2021) and a further three sites in 2018 (monitored 2019-2021).  On each site three fields were selected, these represent the treatment level replicates.   On these fields we established three system level treatments of: 1) control with typical conventional arable agricultural management; 2) Enhancement of biodiversity using targeted wild flower sown field margins and the use of cover crops sown before spring crops to support soil health; 3) Enhancement of biodiversity using targeted wild flower sown field margins, sown in-field strips, the application of organic matter (manure or green composted waste) and the use of cover crops sown before spring crops.  All sites were allowed to have their typical rotations and farm management, but these were kept consistent for the three fields within a site.  Management was conventional and would involve the use of agro-chemicals.  This data set reports yield of sellable crop assessments from 0.5 x 0.5 m quadrates undertaken at replicated points along a spatial sampling grid established on each field.  In each quadrat the crop was removed and the edible component (e.g. seeds, tubers etc) was weighed.   Sampling was undertaken from 2018-2021.  \n\nNB: This dataset is currently being generated and is expected to become available in Spring 2023.\n\nData acquisition was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST – Achieving Sustainable Agricultural Systems www.assist.ceh.ac.uk. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"identifier":"7add7039-498c-4df0-a2ac-d9fd44bbda38","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-2.2412109 51.103139, -2.2412109 52.414333, 0.81298828 52.414333, 0.81298828 51.103139, -2.2412109 51.103139))"],"metadataDate":"2021-11-08T15:51:51.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7add7039-498c-4df0-a2ac-d9fd44bbda38"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This data describes a replicated field scale experiment undertaken on 18 arable farms in S. England as part of the ASSIST (Achieving Sustainable Agricultural Systems) project. The goals of this study were to look at practical approaches to promoting biodiversity and…","state":"published","title":"ASSIST large scale field experiment yield data","version":1.0,"view":["public","emmben"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Marshall","Glanville","Cooper"],"authorFullName":["Marshall, M.R.","Glanville, H.C.","Cooper, D.M."],"authorGivenName":["M.R.","H.C. ","D.M."],"authorOrcid":["https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-8192-6678","https://orcid.org/0000-0001-7578-7918"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data showing groundwater temperature and levels from bore holes are presented. The data were collected from a field experiment in the Conwy catchment between December 2013 and June 2015. Data were recorded by pressure transducers installed in the bore holes. The data were collected by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The samples were taken to estimate the hydraulic pathways and velocities through an experimental hillslope.\nThe data were 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.\n","documentType":"GEMINI_DOCUMENT","familyName":["Marshall","Glanville","Cooper"],"fullName":["Marshall, M.R.","Glanville, H.C.","Cooper, D.M."],"funder":["Natural Environment Research Council"],"givenName":["M.R.","H.C. ","D.M."],"grant":["NE/J011991/1"],"identifier":"6c58038e-f035-4ab5-8518-1f189eae3bf2","incomingCitationCount":0,"keyword":["Cobra percussion hammer corer","Pressure transducers ","Conwy","River Conwy catchment","Turf2Surf (T2S)","Macronutrient Cycling Programme (MCP)","Hydrology","Environmental survey"],"keywordsInstrument":["Cobra percussion hammer corer","Pressure transducers "],"keywordsPlace":["Conwy","River Conwy catchment"],"keywordsProject":["Turf2Surf (T2S)","Macronutrient Cycling Programme (MCP)"],"keywordsTheme":["Hydrology","Environmental survey"],"licence":"Open government licence","lineage":"Three 75 metre long transects, 20 metres apart, were identified across a hillslope. Along each transect four boreholes were installed to bedrock. A pressure transducer with an integrated logger which recorded both water level and temperature was installed in each of the boreholes. These were periodically retrieved and logger data read into a laptop. \nData were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the EIDC.\n","locations":["POLYGON((-3.784 53.201, -3.784 53.204, -3.781 53.204, -3.781 53.201, -3.784 53.201))"],"metadataDate":"2026-06-29T16:14:20.000Z","orcid":["https://orcid.org/0000-0003-2869-0616","https://orcid.org/0000-0002-8192-6678","https://orcid.org/0000-0001-7578-7918"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Centre for Ecology & Hydrology","Bangor University","UK Centre for Ecology & Hydrology"],"publicationDate":"2018-03-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6c58038e-f035-4ab5-8518-1f189eae3bf2","10.5285/6c58038e-f035-4ab5-8518-1f189eae3bf2","doi:10.5285/6c58038e-f035-4ab5-8518-1f189eae3bf2"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"shortenedDescription":"Data showing groundwater temperature and levels from bore holes are presented. The data were collected from a field experiment in the Conwy catchment between December 2013 and June 2015. Data were recorded by pressure transducers installed in the bore holes. The data…","state":"published","supplementalDescription":["Project website"],"supplementalName":["Turf2Surf"],"title":"Groundwater temperatures and levels from a field experiment in the Conwy Valley, North Wales, UK (2013-2015)","topic":["0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Finnish Meteorological Institute"],"authorFamilyName":["Dinsmore","Drewer","Levy","George","Lohila","Aurela","Leith","Anderson","Skiba"],"authorFullName":["Dinsmore, K.J.","Drewer, J.","Levy, P.E.","George, C.","Lohila, A.","Aurela, M.","Leith, F.","Anderson, M.","Skiba, U.M."],"authorGivenName":["K.J.","J.","P.E.","C.","A.","M.","F.","U.M."],"authorOrcid":["https://orcid.org/0000-0002-3586-6256","https://orcid.org/0000-0002-6263-6341","https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0001-6318-2196","https://orcid.org/0000-0003-3541-672X","https://orcid.org/0000-0001-5869-6862","https://orcid.org/0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05hppb561"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains calculated terrestrial fluxes of methane and nitrous oxide using static chambers from the Sodankylä region of Northern Finland across both forest and wetland ecosystems. Measurements were carried out during growing season 2012 in two measurement campaigns (Summer: 12th July - 2nd August; Autumn: 22nd September - 14th October) using 60 static chambers (21 within the forest and 39 within the wetland). Fluxes were measured on approximately 2 day intervals resulting in a total of 10 measurements for all chambers during the summer campaign, and 7 for the forest and 8 for the wetland chambers during the autumn campaign. In addition to fluxes, auxiliary measurements include soil temperature, water table depth (wetland only), soil moisture (forest only) and soil respiration. \n\nThe data was collected as part of the MAMM project (Methane and other greenhouse gases in the Arctic: Measurements, process studies and Modelling, http://arp.arctic.ac.uk/projects/) funded by the UK Natural Environment Research Council (grant NE/I029293/1) involving partners from CEH and the Finnish Meteorological Institute (Climate Change Research, FI-00101 Helsinki, Finland).","documentType":"GEMINI_DOCUMENT","familyName":["Dinsmore","Drewer","Levy","George","Lohila","Aurela","Leith","Anderson","Skiba"],"fullName":["Dinsmore, K.","Dinsmore, K.J.","Drewer, J.","Levy, P.E.","George, C.","Lohila, A.","Aurela, M.","Leith, F.","Anderson, M.","Skiba, U.M."],"funder":["Natural Environment Research Council"],"givenName":["Kerry","K.J.","J.","P.E.","C.","A.","M.","F.","U.M."],"grant":["NE/I029293/1"],"identifier":"6b8501c8-3931-4c5e-8e1b-584a6ea0d233","incomingCitationCount":1,"keyword":["Sodankylä","Finland","nitrous oxide","fluxes","forest","wetland","methane"],"keywordsOther":["nitrous oxide","fluxes","forest","wetland","methane"],"keywordsPlace":["Sodankylä","Finland"],"licence":"Open government licence","lineage":"Field measurements were carried out by Kerry Dinsmore, Julia Drewer, Ute Skiba or Fraser Leith. Analysis was carried out at CEH Edinburgh by the fore mentioned people and additionally by Margaret Anderson. The flux program was compiled by Peter Levy and run by Kerry Dinsmore. The samples were collected from 60 individual chambers over one field season. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Dinsmore, K. J., Drewer, J., Levy, P. E., George, C., Lohila, A., Aurela, M., and Skiba, U.: Growing season CH4 and N2O fluxes from a sub-arctic landscape in northern Finland, Biogeosciences Discuss., doi:10.5194/bg-2016-238, in review, 2016. ","locations":["POLYGON((26.628 67.36, 26.628 67.373, 26.663 67.373, 26.663 67.36, 26.628 67.36))"],"metadataDate":"2026-06-29T17:21:38.000Z","orcid":["https://orcid.org/0000-0002-3586-6256","https://orcid.org/0000-0002-6263-6341","https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0001-6318-2196","https://orcid.org/0000-0003-3541-672X","https://orcid.org/0000-0001-5869-6862","https://orcid.org/0000-0001-8659-6092"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Finnish Meteorological Institute","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6b8501c8-3931-4c5e-8e1b-584a6ea0d233","10.5285/6b8501c8-3931-4c5e-8e1b-584a6ea0d233","doi:10.5285/6b8501c8-3931-4c5e-8e1b-584a6ea0d233"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05hppb561","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains calculated terrestrial fluxes of methane and nitrous oxide using static chambers from the Sodankylä region of Northern Finland across both forest and wetland ecosystems. Measurements were carried out during growing season 2012 in two measurement…","state":"published","supplementalName":["Methane and other Greenhouse Gases in the Arctic: Measurements, Process Studies and Modelling (MAMM)"],"title":"Growing season methane and nitrous oxide static chamber fluxes from Sodankylä region, Northern Finland","version":1.0,"view":["public","leav"]},{"authorAffiliation":["Cardiff University","Instituto Federal de Educação Ciência e Tecnologia do Amapá","Universidade Estadual do Amapá","University of Exeter","Instituto Chico Mendes de Conservação da Biodiversidade","University of Helsinki","Universidade Estadual de Campinas (UNICAMP)","University of Maryland, Baltimore"],"authorFamilyName":["Bittencourt","da Silva","de Lima","Tosto","Jaster","Maeda","Santos","Lima","Starck","Barbosa","Jussian","Nunes","Groenendijk","Rowland"],"authorFullName":["Bittencourt, P.","da Silva, D.A.S.","de Lima, R.B.","Tosto, A.","Jaster, C.","Maeda, E.","Santos, E.D.S.","Lima, I.","Starck, I.","Barbosa, J.R.D.L.","Jussian, J.","da Silva, J.P.","Nunes, M.H.","Groenendijk, P.","Rowland, L."],"authorGivenName":["Paulo","Diego Armando Silva","Robson Borges","Ambra","Christoph","Eduardo","Elisama de Souza","Igor","Iris","Jackson Rodrigo de Lima","Jose","Joselane Priscila","Matheus Henrique","Peter","Lucy"],"authorOrcid":["https://orcid.org/0000-0002-0774-3216"],"authorRor":["https://ror.org/03kk7td41","https://ror.org/04m21mw32","https://ror.org/03yghzc09","https://ror.org/04s5p1a35","https://ror.org/040af2s02","https://ror.org/04wffgt70","https://ror.org/04rq5mt64"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises 14 traits related to plant hydraulic function collected on 16 Dinizia Excelsa trees ranging from 19.7-74 m tall in the Parque Nacional Montanhas de Tumucumaque, Northeast Amazon, Brazil. Traits were always measured in a top canopy position and when crown depth allowed along a lower and a branch. These data were all collected following standardised methodologies for each trait sampled and they were all collected during one field campaign which took place during November 2024. The aim of this data set was to test whether tree height alters the water transport system of trees to make them more vulnerable to the impacts of drought.","documentType":"GEMINI_DOCUMENT","familyName":["Bittencourt","da Silva","de Lima","Tosto","Jaster","Maeda","Santos","Lima","Starck","Barbosa","Jussian","Nunes","Groenendijk","Rowland"],"fullName":["Lucy Rowland","Bittencourt, P.","da Silva, D.A.S.","de Lima, R.B.","Tosto, A.","Jaster, C.","Maeda, E.","Santos, E.D.S.","Lima, I.","Starck, I.","Barbosa, J.R.D.L.","Jussian, J.","da Silva, J.P.","Nunes, M.H.","Groenendijk, P.","Rowland, L."],"funder":["Natural Environment Research Council"],"givenName":["Paulo","Diego Armando Silva","Robson Borges","Ambra","Christoph","Eduardo","Elisama de Souza","Igor","Iris","Jackson Rodrigo de Lima","Jose","Joselane Priscila","Matheus Henrique","Peter","Lucy"],"grant":["NE/V000071/1"],"identifier":"1dba26ab-1aa8-45f1-baab-5bdf25a1c7a0","incomingCitationCount":0,"keyword":["Evolutionary ecology","Plant Traits","Amazon Rainforest","Hydraulic system","Drought response","Dinizia excelsa"],"keywordsOther":["Plant Traits","Amazon Rainforest","Hydraulic system","Drought response","Dinizia excelsa"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"Samples were collected from 14 individuals of the species Dinizia excelsa throughout November 2024. To measure trait values 1-2m length branches were extracted from each sample location in the tree crowns (upper crown, and when crown depth allowed, also mid-crown and lower-crown). Vertical height and horizontal distance from the main stem were recorded for each excised branch to enable hydraulic path length to be calculated. Immediately after sampling material was sealed in moist bags and transported to field laboratory in the Jupara Base (10-30 min walking distance), where functional traits were measured. The traits measured included leaf and wood structural traits and leaf and wood hydraulic traits. The full list of traits measures and procedures used to measure the traits are laid out in the supporting information. All data were entered into a excel spreadsheet and saved as a .csv file.","locations":["POLYGON((-52.5 1.13, -52.5 1.13, -52.5 1.13, -52.5 1.13, -52.5 1.13))"],"metadataDate":"2026-06-27T11:02:12.000Z","orcid":["https://orcid.org/0000-0002-0774-3216"],"organisation":["University of Exeter","Cardiff University","Instituto Federal de Educação Ciência e Tecnologia do Amapá","Universidade Estadual do Amapá","Instituto Chico Mendes de Conservação da Biodiversidade","University of Helsinki","Universidade Estadual de Campinas (UNICAMP)","University of Maryland, Baltimore","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1dba26ab-1aa8-45f1-baab-5bdf25a1c7a0","10.5285/1dba26ab-1aa8-45f1-baab-5bdf25a1c7a0","doi:10.5285/1dba26ab-1aa8-45f1-baab-5bdf25a1c7a0"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/03kk7td41","https://ror.org/04m21mw32","https://ror.org/04s5p1a35","https://ror.org/040af2s02","https://ror.org/04wffgt70","https://ror.org/04rq5mt64","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises 14 traits related to plant hydraulic function collected on 16 Dinizia Excelsa trees ranging from 19.7-74 m tall in the Parque Nacional Montanhas de Tumucumaque, Northeast Amazon, Brazil. Traits were always measured in a top canopy position and…","state":"published","title":"Functional traits of the tallest tropical tree species in the Tumucumaque Mountains National Park, Brazil, 2024","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba, Japan","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture"],"authorFamilyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"authorFullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"authorGivenName":["N.","P. ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C."],"authorOrcid":["https://orcid.org/0000-0001-7386-0472"],"authorRor":["https://ror.org/016476m91","https://ror.org/01nrxwf90","https://ror.org/05v62cm79","https://ror.org/013meh722","https://ror.org/05h992307","https://ror.org/052x1hs80","https://ror.org/017zqws13","https://ror.org/02wfhk785","https://ror.org/02hw5fp67","https://ror.org/03qn8fb07","https://ror.org/04qw24q55","https://ror.org/03yghzc09","https://ror.org/01na82s61"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Projections of global changes in water scarcity with the current extent of  maize, rice, wheat, vegetables, pulses and fruit production commodities were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The data relate to an analysis of the impact changes in water availability will have on  maize, rice, wheat, vegetables, pulses and fruit production commodities availability in 2050.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Fitton","Alexander","Arnell","Bajzelj","Calvin","Doelman","Gerber","Havlik","Hasegawa","Herrero","Krisztin","van Meijl","Powell","Sands","Stehfest","West","Smith"],"fullName":["Fitton, N.","Alexander, P.","Arnell, N.","Bajzelj, B.","Calvin, K.","Doelman, J.","Gerber, J.S.","Havlik, P.","Hasegawa, T.","Herrero, M.","Krisztin, T.","van Meijl, H.","Powell, T.","Sands, R.","Stehfest, E.","West, P.C.","Smith, P."],"funder":["Natural Environment Research Council"],"givenName":["N.","P. ","B.","K.","J.","J.S.","P.","T.","M.","H.","R.","E.","P.C.","Nuala"],"identifier":"84b3b580-acbf-487d-bf44-c21bc2cf12ee","incomingCitationCount":1,"keyword":["Agriculture","future land availability","commodity production","global analysis","Agriculture production","agriculture","water scarcity"],"keywordsOther":["future land availability","commodity production","global analysis","Agriculture production","agriculture","water scarcity"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Global maps, of the change in annual runoff (%) and water scarcity (index value between 1 – 4, where 1 represents not water scarce and 4 is severely water scarce) were as estimated based on projections from 5 different general circulation models/ global climate models (GCMs) were obtained directly from Prof. N. Arnell (University of Reading).\nGlobal maps of the current cropland area were directly downloaded from www.earthstat.org, which is an open access platform that hosts the most up to date versions of data. Maps of croplands were created based on a mixture of satellite derived data mixed with national, state and country census statistics, and were expressed on a global 5 arc-minute grid.\nData used in this study was collected from several sources and cited in the supporting documentation.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T18:52:05.000Z","orcid":["https://orcid.org/0000-0001-7386-0472"],"organisation":["University of Aberdeen","University of Edinburgh","University of Reading","University of Cambridge","Pacific Northwest National Laboratory","Netherlands Environmental Assessment Agency","University of Minnesota","International Institute for Applied Systems Analysis ","National Institute for Environmental Studies, Tsukuba, Japan","Commonwealth Scientific and Industrial Research Organisation","Wageningen University and Research Centre","University of Exeter","US Department of Agriculture","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84b3b580-acbf-487d-bf44-c21bc2cf12ee","10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee","doi:10.5285/84b3b580-acbf-487d-bf44-c21bc2cf12ee"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/01nrxwf90","https://ror.org/05v62cm79","https://ror.org/013meh722","https://ror.org/05h992307","https://ror.org/052x1hs80","https://ror.org/017zqws13","https://ror.org/02wfhk785","https://ror.org/02hw5fp67","https://ror.org/03qn8fb07","https://ror.org/04qw24q55","https://ror.org/03yghzc09","https://ror.org/01na82s61","https://ror.org/04xw4m193"],"shortenedDescription":"Projections of global changes in water scarcity with the current extent of  maize, rice, wheat, vegetables, pulses and fruit production commodities were combined to identify the potential country level vulnerabilities of cropland land to water scarcity in 2050. The…","state":"published","title":"The percentage of total agricultural area under maize, rice, wheat, vegetables, pulses and fruit production, by country, subject to water scarcity in 2050 as estimated from a multi-model ensemble","topic":["0/Agriculture/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Royal Botanic Gardens Kew","Imperial College London","Imperial College London ","University of Environment and Sustainable Development ","Ghana Wildlife Society ","University of Belgrade ","Copperbelt University ","International Institute for Environment and Development ","Kwame Nkrumah University of Science and Technology ","Sentinel Project ","University of Cambridge ","Livingstone Museum ","Panthera Wild Cat Conservation  ","University of Stirling ","Kigelia Solutions Ltd "],"authorFamilyName":["Devenish","Montauban","Dellavalle","Annorbah","Asamoah","Boafo","Budinski","Chibesa","Downe","Dwumah","Ford","Jamie","Kenyenso","Mwale","Mwila","Taylor-Boyd","Willems","Tobias"],"authorFullName":["Devenish, A.J.M.","Montauban, C.M.","Dellavalle, A.","Annorbah, N.N.D.","Asamoah, A.","Boafo, K.","Budinski, I.","Chibesa, M.","Downe, B.","Dwumah, K.A.","Ford, M.","Jamie, G.","Kenyenso, S.","Mwale, M.","Mwila, J.","Taylor-Boyd, H.","Willems, F.","Tobias, J.A."],"authorGivenName":["A.J.M.","C.M.","A.","N.N.D.","K.","I.","M.","B.","K.A.","G.","S.","J.","H.","F.","J.A."],"authorOrcid":["https://orcid.org/0000-0001-5240-622X","https://orcid.org/0000-0002-7501-3389","https://orcid.org/0009-0001-2761-5801","https://orcid.org/0000-0002-1977-8344","https://orcid.org/0000-0001-8834-4200","https://orcid.org/0000-0003-3119-9991","https://orcid.org/0009-0000-2331-6807","https://orcid.org/0009-0001-9201-8392","https://orcid.org/0000-0001-9617-4344","https://orcid.org/0000-0003-2429-6179"],"authorRor":["https://ror.org/00ynnr806","https://ror.org/041kmwe10","https://ror.org/04tvaz881","https://ror.org/02qcpws31","https://ror.org/02qsmb048","https://ror.org/03fgtjr33","https://ror.org/02srvn192","https://ror.org/00cb23x68","https://ror.org/013meh722","https://ror.org/03t56ts61","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of bird observation and mist netting records for both bats and birds collected from December 2020 to March 2023. The data collection employed a mixed-methods approach incorporating point counts and mist netting techniques. Surveys were carried out in multiple localities, encompassing three sites in Ghana and 5 in Zambia. \n\nThe data were collected as part of the Social and Environmental Trade-Offs in African Agriculture (Sentinel) project, funded by UK Research and Innovation via the Global Challenges Research Fund (Grant Number: ES/P011306/1). ","documentType":"GEMINI_DOCUMENT","familyName":["Devenish","Montauban","Dellavalle","Annorbah","Asamoah","Boafo","Budinski","Chibesa","Downe","Dwumah","Ford","Jamie","Kenyenso","Mwale","Mwila","Taylor-Boyd","Willems","Tobias"],"fullName":["Devenish, A.J.M.","Montauban, C.M.","Dellavalle, A.","Annorbah, N.N.D.","Asamoah, A.","Boafo, K.","Budinski, I.","Chibesa, M.","Downe, B.","Dwumah, K.A.","Ford, M.","Jamie, G.","Kenyenso, S.","Mwale, M.","Mwila, J.","Taylor-Boyd, H.","Willems, F.","Tobias, J.A.","Devenish, A."],"funder":["Natural Environment Research Council","Economic and Social Research Council"],"givenName":["A.J.M.","C.M.","A.","N.N.D.","K.","I.","M.","B.","K.A.","G.","S.","J.","H.","F.","J.A.","Adam"],"grant":["ES/P011306/1"],"identifier":"c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d","incomingCitationCount":0,"keyword":["Ghana","Zambia","sub–Saharan Africa","Biodiversity","Agriculture","Agricultural expansion","Biodiversity impacts","Forest loss","bat","bird","deforestation"],"keywordsOther":["Agricultural expansion","Biodiversity impacts","Forest loss","bat","bird","deforestation"],"keywordsPlace":["Ghana","Zambia","sub–Saharan Africa"],"keywordsTheme":["Biodiversity","Agriculture"],"licence":"Open government licence","lineage":"Data were collected between December 2020 and March 2023 in several localities within Ghana (n = 3) and Zambia (n = 5). A two-tier stratified random sampling design was employed to select the study sites within each locality. Initially, a spatially referenced grid measuring 1 km × 1 km was used to overlay the selected locality, segregating it into potential study areas. Following this, each site was categorised into one of five broad classifications based on the dominant land type within the grid cell:\n\n•\tNot Applicable (NA): Areas unsuitable for sampling, such as urban centres.\n•\tAgriculture Only: Regions where over 95% of the grid cell is covered by agricultural land.\n•\tForest edge: Locations with 25-75% of the grid cell encompassed by forest land.\n•\tForest: Regions where more than 95% of the grid cell is forest land.\n\nA subset of sites within the categories of 'Agriculture,' 'Forest edge,' and 'Forest' were randomly selected for sampling. \n\nAt each survey point, birds were surveyed using a standardised point count methodology (Gregory et al., 2004). The sampling at these locations was conducted from dawn and lasted approximately 3 hours (with some variation depending on weather conditions), a timeframe chosen to coincide with the peak activity of forest birds. \n\nSurveying for bats was conducted at the same locations used for bird mist netting. A combination of mist-nets and harp traps were deployed at each site, with sampling taking place on separate nights. Traps were established at sunset and operated for a minimum duration of 4 hours, with regular checks conducted every 15 to 30 minutes.\n\nSeveral data inputters were used to digitally input the field data sheets. Then the completed dataset was compiled, error checked and validated.\n","locations":["POLYGON((-3.911 -20.296, -3.911 12.099, 32.563 12.099, 32.563 -20.296, -3.911 -20.296))"],"metadataDate":"2026-06-29T16:18:25.000Z","orcid":["https://orcid.org/0000-0001-5240-622X","https://orcid.org/0000-0002-7501-3389","https://orcid.org/0009-0001-2761-5801","https://orcid.org/0000-0002-1977-8344","https://orcid.org/0000-0001-8834-4200","https://orcid.org/0000-0003-3119-9991","https://orcid.org/0009-0000-2331-6807","https://orcid.org/0009-0001-9201-8392","https://orcid.org/0000-0001-9617-4344","https://orcid.org/0000-0003-2429-6179"],"organisation":["Royal Botanic Gardens Kew","Imperial College London","Imperial College London ","University of Environment and Sustainable Development ","Ghana Wildlife Society ","University of Belgrade ","Copperbelt University ","International Institute for Environment and Development ","Kwame Nkrumah University of Science and Technology ","Sentinel Project ","University of Cambridge ","Livingstone Museum ","Panthera Wild Cat Conservation  ","University of Stirling ","Kigelia Solutions Ltd ","Royal Botanic Gardens Kew ","NERC EDS Environmental Information Data Centre","University of Ghana"],"publicationDate":"2024-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d","10.5285/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d","doi:10.5285/c3b89279-ba7d-4df3-bc6c-82ffcaeaad3d"],"resourceType":"Dataset","rightsHolder":["Imperial College London","Copperbelt University ","University of Ghana"],"ror":["https://ror.org/00ynnr806","https://ror.org/041kmwe10","https://ror.org/04tvaz881","https://ror.org/02qcpws31","https://ror.org/02qsmb048","https://ror.org/03fgtjr33","https://ror.org/02srvn192","https://ror.org/00cb23x68","https://ror.org/013meh722","https://ror.org/03t56ts61","https://ror.org/045wgfr59","https://ror.org/04xw4m193","https://ror.org/01r22mr83"],"shortenedDescription":"This dataset consists of bird observation and mist netting records for both bats and birds collected from December 2020 to March 2023. The data collection employed a mixed-methods approach incorporating point counts and mist netting techniques. Surveys were carried…","state":"published","title":"Bat and bird survey data from different agricultural land use gradients in Ghana and Zambia, 2020-2023","topic":["0/Biodiversity/","0/Agriculture/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology"],"authorFamilyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"authorFullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"authorGivenName":["N.","J.T.","A.","L.L.","D.I."],"authorOrcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"authorRor":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms along a gradient of radiation contamination. Five different morphological characters were measured and fluctuating asymmetry (right side minus left side) was calculated. Fluctuating asymmetry was calculated here as FA2: [|R-L|/(R+L)/2)] where R and L represent measurements in micrometres for right and left sides of the five morphological characters. Number of segments represents raw right minus left data for the number of antennal segments and is thus provided in a separate column. All data provided are means of two independent measurements. In addition, a measure of environmental factors and total dose rates are also provided in this dataset. Blank cells indicate where no data was available.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"funder":["Natural Environment Research Council"],"givenName":["Neil","N.","J.T.","A.","L.L.","D.I."],"identifier":"47f036c4-e319-4825-9cb8-f27977eb20dd","incomingCitationCount":1,"keyword":["Radioecology","Asellus aquaticus"],"keywordsOther":["Asellus aquaticus"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"The data comprises a series of experiments to assess the impacts of chronic radiation exposure at Chernobyl on the development, reproduction and genetic diversity of the freshwater crustacean, Asellus aquaticus. Field samples were collected from six lakes of varying contamination in Belarus and the Ukraine in 2015 and 2016 using kick netting and immediately preserved in ethanol and returned to the Institute of Marine Sciences, University of Portsmouth. Development was assessed using the fluctuating asymmetry technique, which assesses deviations from the expected perfect bilateral symmetry of an organism. Presented data is the results of the FA2 assay: FA2 = mean [| R − L | / (R + L) / 2)] where R and L represent measures of the right and left side of the organism in µm respectively. Measurements were conducted blind using Image J (v1.48) on randomly coded images obtained using a Leica DFC130 camera. Data is provided for two sampling periods; 2015 and 2003-2005 (conducted by colleagues at the Belarusian National Academy of Sciences).  Reproduction was assessed by analysis of fecundity and the proportion of gravid females at each site. Data presented includes number of eggs, weight of eggs (in milligrams), female weight (in milligrams), weight-normalised egg numbers (in milligrams) and sampling dates. Weights were obtained using a Kern ABT 120-5DM analytical fine balance with a precision of ± 0.02 mg. Data is presented from two sampling years at six sites of varying contamination. Dose rates are also provided, calculated using ERICA based on deposition values at the corresponding site. Finally, genetic diversity was calculated following genotyping-by-sequencing analysis conducted at the genomic diversity facility, Cornell University, New York. Data provided includes a number of routinely used genetic diversity parameters calculated at both the individual level (inbreeding coefficient, F, observed and expected heterozygosity) and population level (Tajima’s D & Nucleotide Diversity). This data was generated using the UNEAK pipeline within TASSEL software (v 3.0) by bioinformatics analysists at Cornell University. Tajima’s D & Nucleotide were calculated using the PopGenome package in R Studio. ","locations":["POLYGON((30.042 50.912, 30.042 51.131, 30.602 51.131, 30.602 50.912, 30.042 50.912))"],"metadataDate":"2026-06-29T16:16:20.000Z","orcid":["https://orcid.org/0000-0001-9486-6654","https://orcid.org/0000-0002-0808-2739","https://orcid.org/0000-0001-5202-546X"],"organisation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f036c4-e319-4825-9cb8-f27977eb20dd","10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd","doi:10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms…","state":"published","supplementalDescription":["Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250. ","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55–67.","Fuller, N., Ford, A.T., Nagorskaya, L.L., Gudkov, D.I., & Smith, J.T. (2018). Reproduction in the freshwater crustacean Asellus aquaticus along a gradient of radionuclide contamination at Chernobyl. Science of The Total Environment, 628–629, 11–17"],"title":"Impacts of chronic radiation exposure on reproduction, development and genetic diversity of the freshwater crustacean Asellus aquaticus at Chernobyl","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Freshwater Ecology","University of York","Centre for Ecology & Hydrology"],"authorFamilyName":["House","Leach","Bachiller-Jareno","Tindall","Moore"],"authorFullName":["House, A.","Leach, D.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"authorGivenName":["A.","D.","N.","I.","R."],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Triazine, organophosphate and pyrethroid (TOP) pesticide data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS).. Water samples were collected weekly and during storm periods between 1994 and 1996. The unfiltered samples were extracted on the day of collection using solid-phase-extraction (SPE), the SPE cartridges stored overnight at 4 degreesC and then transported to the Institute of Freshwater Ecology (IFE), Wareham for elution, drying and Gas Chromatography (GC) analysis. Pesticides measured were Atrazine, Cyanazin, Desmetryn, Fenitrothion, HCH gamma, Malathion, Parathion, Permethrin, Prometryn, Simazine, Terbutryn. The sampling and extraction of the pesticides was carried out by the LOIS team at York University and the elution and sample preparation for GC analysis was done at IFE.","documentType":"GEMINI_DOCUMENT","familyName":["House","Leach","Bachiller-Jareno","Tindall","Moore"],"fullName":["House, A.","Leach, D.","Bachiller-Jareno, N.","Tindall, I.","Moore, R."],"givenName":["A.","D.","N.","I.","R."],"identifier":"b6af91ff-fc56-4ec2-81b8-d384eedcc343","incomingCitationCount":0,"keyword":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd","Land Ocean Interaction Study project","LOIS","Pollution","cyanazin","desmetryn","fenitrothion","HCH gamma","malathion","parathion","permethrin","prometryn","simazine","terbutryn","water quality","atrazine","river","pesticide","triazine","organophosphorous compound"],"keywordsOther":["cyanazin","desmetryn","fenitrothion","HCH gamma","malathion","parathion","permethrin","prometryn","simazine","terbutryn","water quality","atrazine","river","pesticide","triazine","organophosphorous compound"],"keywordsPlace":["Humber","England","Swale","Derwent","Aire","Calder","Trent","Ouse","Nidd"],"keywordsProject":["Land Ocean Interaction Study project","LOIS"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Samples were collected in presolvent washed 1 litre borosilicate bottles from the midpoint in the channel by immersion. The samples were returned to the LOIS York Laboratory for separation by passage through frits (Isolute 120-1008F) and spe columns (1 g C18, Isolute 221-0100-C) according to SOP 17/14.11.93 (IFE, Wareham). The samples were stored overnight at 5 C and transported to IFE, Wareham for elution using ethylacetate (EtAc) with the eluate from the filtered solids and water combined following SOP 24/20.4.94 (IFE, Wareham). Extracts were dried and concentrated using nitrogen. Triazines and Organophosphorus pesticides were analysed using nitrogen-phosphate bead detector (Perkin Elmer) and the Pyrethroids by GC/MS in single ion mode (Hewlett-Packard). Blank water samples (ultrapure water) were taken into the field during sample collection and opened and closed on site and then analysed in the same way as the other samples. Spiked water samples containing all the pecticides were included in each batch to enable checks on the pesticide recoveries. Internal standards were included in the GC analysis: ametryn for GC/NPD and Decachlorbiphenol for GC/MS. Triazines and organochlorine compounds were identified by their relative retention time (RRT) with respect to ametryn (+/- 0.002 RRT) and on some samples these were verified by concentration of the samples and GC/MS. Their RRT and coincidence of the base ion and one other ion fragment identified the pyrethroids. A zip file of box-and-whisker plots for each determinand is available, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site to enable prospective users to understand data quality.","locations":["POLYGON((-2.75 53.1, -2.75 55.8, -0.72 55.8, -0.72 53.1, -2.75 53.1))"],"metadataDate":"2026-06-29T18:25:03.000Z","organisation":["UK Centre for Ecology & Hydrology","Institute of Freshwater Ecology","University of York","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1373029999046","CEH:EIDC::1373029999046","https://catalogue.ceh.ac.uk/id/b6af91ff-fc56-4ec2-81b8-d384eedcc343","10.5285/b6af91ff-fc56-4ec2-81b8-d384eedcc343","doi:10.5285/b6af91ff-fc56-4ec2-81b8-d384eedcc343"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"Triazine, organophosphate and pyrethroid (TOP) pesticide data from river water collected at various sites within the Humber catchment area as part of the Land Ocean Interaction Study project (LOIS).. Water samples were collected weekly and during storm periods between…","state":"published","supplementalDescription":["British Oceanographic Data Centre's webpages for information on and data from the coastal and marine aspects of the LOIS project."],"supplementalName":["LOIS project website"],"title":"Triazine, organophosphate and pyrethroid (TOP) pesticide data from rivers [LOIS]","topic":["0/Pollution/"],"version":1.0,"view":["public","hajd"]},{"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":["https://orcid.org/0000-0002-3219-6250","https://orcid.org/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":["Hodson","Prendergast-Miller","Jones"],"fullName":["Hodson, M.E.","Prendergast-Miller, M.T.","Jones, D.T."],"funder":["Natural Environment Research Council"],"givenName":["Mark E.","M.T.","D.T."],"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":"2026-06-27T13:45:40.000Z","orcid":["https://orcid.org/0000-0002-8166-1526","https://orcid.org/0000-0002-3219-6250"],"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","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":["Centre for Ecology & Hydrology","University of Leeds","Met Office"],"authorFamilyName":["Comyn-Platt","Hayman","McNorton","Gedney"],"authorFullName":["Comyn-Platt, E.","Hayman, G.D.","McNorton, J.","Gedney, N."],"authorGivenName":["Edward ","G.D.","J.","N."],"authorOrcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/024mrxd33","https://ror.org/01ch2yn61"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the JULES land surface model driven with the Watch Forcing Data methodology applied to Era-Interim (WFDEI) data. It provides monthly global methane emissions from natural wetlands on 0.5 x 0.5 degree grid between 1980-2014. It includes the following variables:\n - fch4_wetl: modelled methane flux from natural wetland, in mg CH4 m-2 day-1\n - fwetl: fraction of wetland\n - cs: soil carbon in each of these four soil carbon pools: decomposable plant material, resistant plant material, microbial biomass and humus), in kg m-2 \n - t_soil: sub-surface temperature of the four modelled soil layers (0-0.1 m, 0.1-0.35 m, 0.35-1.0 m and 1.0-2.0 m), in K","documentType":"GEMINI_DOCUMENT","familyName":["Comyn-Platt","Hayman","McNorton","Gedney"],"fullName":["Comyn-Platt, E.","Hayman, G.D.","McNorton, J.","Gedney, N."],"funder":["Natural Environment Research Council"],"givenName":["Edward ","G.D.","J.","N."],"grant":["NE/N015746/1"],"identifier":"6ce61e91-6912-4fe2-a095-12136af86347","incomingCitationCount":0,"keyword":["Methane emissions","Methane fluxes","Carbon fluxes","Land Surface Model","JULES","wetlands ecosystem","methane"],"keywordsOther":["Methane emissions","Methane fluxes","Carbon fluxes","Land Surface Model","JULES","wetlands ecosystem","methane"],"licence":"Open government licence","lineage":"Data is produced by the JULES v 4.5 model. JULES was driven with the Watch Forcing Data methodology applied to Era-Interim (WFDEI) meteorological data. Ancillary data used in the simulation are:  (1) Van Genuchten soil properties from the Harmonised World Soil Database  (HWSD); (2) International Geosphere-Biosphere Programme (IGBP) land cover data; (3) High-resolution global topographic index values (Marthews, 2015; https://doi.org/10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be). JULES output was reprojected on to a 2D grid and the natural wetland methane emissions were scaled to give a global total of 180 Tg of methane in 2000 in post processing.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T19:11:52.000Z","orcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Leeds","Met Office","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-01-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6ce61e91-6912-4fe2-a095-12136af86347","10.5285/6ce61e91-6912-4fe2-a095-12136af86347","doi:10.5285/6ce61e91-6912-4fe2-a095-12136af86347"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/024mrxd33","https://ror.org/01ch2yn61","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the JULES land surface model driven with the Watch Forcing Data methodology applied to Era-Interim (WFDEI) data. It provides monthly global methane emissions from natural wetlands on 0.5 x 0.5 degree grid between 1980-2014. It includes…","state":"published","title":"Monthly global methane emissions from natural wetlands modelled by JULES with dynamic vegetation (1980-2014) v1.0","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dinsmore","Billett","Dyson"],"authorFullName":["Dinsmore, K.J.","Billett, M.F.","Dyson, K.E."],"authorGivenName":["K.J.","M.F.","K.E."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Dataset contains concentrations of particulate and dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Auchencorth Moss is part of the UK Centre for Ecology & Hydrology's UK Carbon Catchment project. \n\nConcentrations have been measured approximately weekly from January 2007 to December 2011 ","documentType":"GEMINI_DOCUMENT","familyName":["Dinsmore","Billett","Dyson"],"fullName":["Dinsmore, K.","Dinsmore, K.J.","Billett, M.F.","Dyson, K.E."],"givenName":["Kerry","K.J.","M.F.","K.E."],"identifier":"3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","incomingCitationCount":1,"keyword":["Auchencorth Moss","Scotland","Black Burn","Climate and climate change","aquatic","peatland","CEH Carbon Catchments","stream water","methane","peat","carbon dioxide","dissolved inorganic carbon","dissolved organic carbon","particulate organic carbon"],"keywordsOther":["aquatic","peatland","CEH Carbon Catchments","stream water","methane","peat","carbon dioxide","dissolved inorganic carbon","dissolved organic carbon","particulate organic carbon"],"keywordsPlace":["Auchencorth Moss","Scotland","Black Burn"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"Water and headspace (for gas analsyis) samples were collected approximately weekly primarily by Dr Kerry Dinsmore. Analysis was carried out at CEH Edinburgh, again primarily by Dr Kerry Dinsmore. The samples were collected from a single sampling site over the 5 year period. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Dinsmore, K.J.; Billett, M.F.; Dyson, K.E.. 2013 Temperature and precipitation drive temporal variability in aquatic carbon and GHG concentrations and fluxes in a peatland catchment. Global Change Biology. 10.1111/gcb.12209 ","locations":["POLYGON((-3.289 55.777, -3.289 55.808, -3.237 55.808, -3.237 55.777, -3.289 55.777))"],"metadataDate":"2026-06-27T19:06:24.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-12-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe","doi:10.5285/3f0820a7-a8c8-4dd7-a058-8db79ba9c7fe"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Dataset contains concentrations of particulate and dissolved organic carbon, inorganic carbon, CO2, CH4 and N2O in the Black Burn stream which drains Auchencorth Moss peatland in South East Scotland. Auchencorth Moss is part of the UK Centre for Ecology & Hydrology's…","state":"published","title":"Five year record of aquatic carbon and greenhouse gas concentrations from Auchencorth Moss","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","rstu"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/documents"}