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Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches.\n\nThe work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme.","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Bullock","Jones","Willcock"],"fullName":["Hooftman, D.A.P.","Bullock, J.M.","Jones, L.","Willcock, S."],"funder":["Natural Environment Research Council"],"givenName":["D.A.P.","J.M.","L.","S."],"grant":["NE/T00391X/1"],"identifier":"a9ae773d-b742-4d42-ae42-2b594bae5d38","incomingCitationCount":0,"keyword":["United Kingdom","ensemble modelling","weighted averaging","water supply","sustainable development","natural capital","modelling","ecosystem services","carbon stock"],"keywordsOther":["ensemble modelling","weighted averaging","water supply","sustainable development","natural capital","modelling","ecosystem services","carbon stock"],"keywordsPlace":["United Kingdom"],"licence":"Open government licence","lineage":"The ensembles, their approach methodology, and their validations are currently under review in Ecosystem Services as Hooftman et al. (2022): Weighted Ensembles Reduce Uncertainty in Ecosystem Service Modelling. Relevant Matlab and Python codes can be found at  github.com/EnsemblesTypes.\n\nAmong model ensembles for above ground standing carbon are provided as 1-km2 gridcells; Water supply ensembles are provided per catchment polygons associated to the 519 selected National River Flow Archive gauging stations in this study. \n\nModel data included outputs from among others: InVest, ARIES, WaterWorld, LUCI, LPJ-GUESS, TEEB, Scholes, Aqueduct, Grid-to-Grid, and DECIPHeR. These data sets are not provided here, but a full list with links to these data sets or software, where applicable, can be found in the supporting documentation. Note that license restrictions could apply. Ensembles approaches include: unweighted (mean and median) approaches, weighted averaging with weights determined following multiple methods (deterministic and iterative), attribute weighted averaging, and trained approaches. Uncertainty is presented by the Standard Error of Mean among contributing model outputs and among ensemble approaches, calculated as the standard deviation corrected with the amount of contributing models/ensembles per cell.\n\nPrior to ensemble calculations: all individual model outputs have been normalised against the lower 2.5% and upper 97.5% percentile. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, ensemble algorithms and their validation we refer to the supporting documentation and associated publication.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:20:47.000Z","orcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0002-4379-9006","0000-0001-6704-3548"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a9ae773d-b742-4d42-ae42-2b594bae5d38","10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38","doi:10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. 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Each file, named after the nearest SCAIL-Agriculture validated meteorological station used to model the outputs, contains modelled concentrations at composting sites within 4km of each composting site. These files, presented as.txt, are the .APL files used to model bioaerosol dispersion from every composting site in England, using ADMS 5. To use this file, please convert the .txt file extension to .APL and upload into ADMS. From there, press run. Model runs are likely to generate over 40GB of data per model run.\n\nThe work was supported by the Natural Environment Research Council grants (NE/P010806/1 and NE/M011631/1).","documentType":"GEMINI_DOCUMENT","familyName":["Hayes","Hansell","Douglas","Roca-Barcelo","Williams","Tyrell","Jackson","Nasar","Rolph","Khera","Bennett","Gladding"],"fullName":["Hayes, E.T.","Hansell, A.","Douglas, P.","Roca-Barcelo, A.","Williams, B.","Tyrell, S.","Jackson, S.","Nasar, Z.","Rolph, C.","Khera, S.","Bennett, A.","Gladding, T."],"funder":["Natural Environment Research Council"],"givenName":["E.T.","A.","P.","B.","S.","Z.","C.","T."],"grant":["NE/M011631/1","NE/P010806/1"],"identifier":"9f1b307b-9b47-4a11-8e5b-e14008ad0032","incomingCitationCount":0,"keyword":["Modelling","Bioaerosols","ADMS","Aspergillus fumigatus","modelling","aerosol"],"keywordsOther":["Bioaerosols","ADMS","Aspergillus fumigatus","modelling","aerosol"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The model build is derived from inputs from academic literature (for particulate matter), meteorological information (BADC) and the authors considerations of site operating hours.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-08-26T12:26:32.000Z","organisation":["Air Quality Management Resource Centre","University of Leicester","UK Health and Security Agency","Imperial College London","Cranfield University","University of Plymouth","The Open University","NERC EDS Environmental Information Data Centre","University of the West of England"],"publicationDate":"2022-05-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f1b307b-9b47-4a11-8e5b-e14008ad0032","10.5285/9f1b307b-9b47-4a11-8e5b-e14008ad0032","doi:10.5285/9f1b307b-9b47-4a11-8e5b-e14008ad0032"],"resourceType":"Dataset","rightsHolder":["University of the West of England"],"ror":["https://ror.org/02nwg5t34","https://ror.org/04h699437","https://ror.org/041kmwe10","https://ror.org/05cncd958","https://ror.org/008n7pv89","https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"shortenedDescription":"These files represent the model build used to generate postcode level concentrations to estimate Aspergillus fumigatus exposure from outdoor composting activities in England between 2005 and 2014. 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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. 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Bats were captured using 6 harp traps per night, erected along flyways in the landscape. Bats were then identified in the hand by comparison to a taxonomic key. Guano samples were then analysed as per the description.","locations":["POLYGON((113.774 4.06, 113.774 7.928, 119.398 7.928, 119.398 4.06, 113.774 4.06))"],"metadataDate":"2026-09-15T08:45:47.000Z","organisation":["Queen Mary University of London","Universiti Malaysia Sabah","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b106445-d8e0-482c-b517-5a372a09dc91","10.5285/8b106445-d8e0-482c-b517-5a372a09dc91","doi:10.5285/8b106445-d8e0-482c-b517-5a372a09dc91"],"resourceType":"Dataset","ror":["https://ror.org/026zzn846","https://ror.org/040v70252","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes capture data for insectivorous bats captured with harp traps in Sabah, Malaysia, and dietary metabarcoding data. The dietary data was generated through obtaining bat faeces, extracting the DNA, amplifying it using ZBJ-ArtF1c ZBJ-ArtR2c primers,…","state":"published","temporalExtentText":"Data collected from 2015 to 2017","title":"Metabarcoding data from the guano of insectivorous bats in Sabah, Malaysia","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of St Andrews","University of Glasgow","Scottish Association For Marine Science"],"authorFamilyName":["Smeaton","Miller","Ladd","O'Dell","Austin"],"authorFullName":["Smeaton, C.","Miller, L.C.","Ladd, C.J.T.","O'Dell, A.","Austin, W.E.N."],"authorGivenName":["C.","L.C.","C.J.T.","A.","W.E.N."],"authorOrcid":["0000-0003-4535-2555","0000-0003-2876-4312","0000-0001-5437-6474","0000-0002-4266-250X","0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04ke6ht85"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Bulk elemental (carbon and nitrogen) and stable isotope (delta 13C and delta 15N) data produced from 491 samples collected between 2016-2021 from terrestrial (soil, peat, living biomass, dead biomass), intertidal (saltmarsh vegetation, saltmarsh roots, seagrass biomass, mudflat, faecal matter) and marine (macroalgae, microalgae zooplankton, finfish aquaculture waste) environments across the UK. \n\nThese samples alongside analytical standard derived from natural materials (lignin, humic acid, cellulose, glucose, protein) were analysed to determine their bulk elemental (organic carbon and nitrogen) and stable isotope (delta 13C org and delta 15N) composition. These values are envisioned to be used to constrain organic carbon sources (terrestrial vs marine) in the natural environment when used alongside isotope mixing models. \n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Miller","Ladd","O'Dell","Austin"],"fullName":["Smeaton, C.","Miller, L.C.","Ladd, C.J.T.","O'Dell, A.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","L.C.","C.J.T.","A.","W.E.N."],"identifier":"a445a7a8-528d-4e0b-9094-28cbcd449367","incomingCitationCount":0,"keyword":["United Kingdom","Scotland","carbon","fjord","macroalgae","isotopes","bulk elemental","C/N","nitrogen","alga","salt marsh","soil","blue carbon","organic carbon","sediment","coastal area","intertidal zone","root","wetland"],"keywordsOther":["carbon","fjord","macroalgae","isotopes","bulk elemental","C/N","nitrogen","alga","salt marsh","soil","blue carbon","organic carbon","sediment","coastal area","intertidal zone","root","wetland"],"keywordsPlace":["United Kingdom","Scotland"],"licence":"Open government licence","lineage":"Samples were collected from coastal catchments around the United Kingdom, the material was described in the field using expert knowledge. The samples were stored at -20°C prior to analysis. The samples were oven dried at (40°C for 72 hours) prior to being milled to a fine powder. Bulk elemental (OC and N) and stable isotope (delta 13C org and delta 15N) composition was determined following the standard methodology detailed in the supporting documentation.  All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:17:58.000Z","orcid":["0000-0003-4535-2555","0000-0003-2876-4312","0000-0001-5437-6474","0000-0002-4266-250X","0000-0001-6544-3468"],"organisation":["University of St Andrews","University of Glasgow","Scottish Association For Marine Science","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-04-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a445a7a8-528d-4e0b-9094-28cbcd449367","10.5285/a445a7a8-528d-4e0b-9094-28cbcd449367","doi:10.5285/a445a7a8-528d-4e0b-9094-28cbcd449367"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00vtgdb53","https://ror.org/04ke6ht85","https://ror.org/04xw4m193"],"shortenedDescription":"Bulk elemental (carbon and nitrogen) and stable isotope (delta 13C and delta 15N) data produced from 491 samples collected between 2016-2021 from terrestrial (soil, peat, living biomass, dead biomass), intertidal (saltmarsh vegetation, saltmarsh roots, seagrass biomass,…","state":"published","supplementalName":["Project Website"],"temporalExtentText":"Data collected from 2016 to 2021","title":"Bulk elemental and stable isotope composition of organic matter from terrestrial, intertidal, and marine environments, UK, 2016-2021","version":1.0,"view":["public","thowag"]},{"availability":"Unknown","catalogue":"eidc","description":"The Concentration Based Estimated Deposition (CBED) model generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network.   Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts.\n\nCBED datasets are provided as a 3 year rolling mean (e.g. 2013-2015) with each consecutive year updated on an annual basis. \n\n\n","documentType":"GEMINI_DOCUMENT","identifier":"bfa37333-b22e-41b8-829a-10c57d50e13f","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T13:00:55.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bfa37333-b22e-41b8-829a-10c57d50e13f"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The Concentration Based Estimated Deposition (CBED) model generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations…","state":"published","supplementalDescription":["UK-Air is the national UK website for the dissemination of air quality data and provides information on air pollution to members of the public. ","The UK Eutrophying and Acidifying Pollutants (UKEAP) network project combines two Defra atmospheric pollutant monitoring projects, which have measured air pollutants at rural sites across the UK over the past two decades.","APIS provides a comprehensive source of information on air pollution and the effects on habitats and species. APIS has been developed in partnership by the UK conservation agencies and regulatory agencies and the Centre for Ecology & Hydrology. The Site Relevant Critical Loads tool for protected site in the UK uses CBED data for calculating critical loads"],"supplementalName":["UK-Air","UKEAP","Air Pollution Information System (APIS)"],"title":"Concentration Based Estimated Deposition (CBED)","version":1.0,"view":["public","leav"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Andrews","Dick"],"authorFullName":["Andrews, C.","Dick, J."],"authorGivenName":["C.","J."],"authorOrcid":["0000-0003-2428-272X","0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic loggers for 185 days (31/04 to 01/11/2014) in an upland pine forest in the Cairngorms National Park, Scotland.","documentType":"GEMINI_DOCUMENT","familyName":["Andrews","Dick"],"fullName":["Andrews, C.","Dick, J."],"givenName":["C.","J."],"identifier":"cee99bc4-15f7-42a0-bbbc-d3085ebfa486","incomingCitationCount":0,"keyword":["Cairngorms","Scotland","bioindicator","environmental driver","activity","upland","bat","Pipistrelle","Pipistrellus pipistrellus","Pipistrellus pygmaeus","common Pipistrelle","soprano Pipistrelle","chiropteran"],"keywordsOther":["bioindicator","environmental driver","activity","upland","bat","Pipistrelle","Pipistrellus pipistrellus","Pipistrellus pygmaeus","common Pipistrelle","soprano Pipistrelle","chiropteran"],"keywordsPlace":["Cairngorms","Scotland"],"licence":"Open government licence","lineage":"Cross-checking accuracy of auto-identification software was crucial, and prior to use a 1000 records were cross-checked, and no mis-identifications of target species found. For continuity Pipistrelle bats left unresolved were assigned to species using 50KHz as the species delimiter. Wind direction cardinals was calculated from degrees using the following equation in Microsoft excel (=CHOOSE(INT(MOD(((WindDir*100) +1125),36000)/4500)+1,\"N\", \"NE\", \"E\", \"SE\", \"S\", \"SW\", \"W\", \"NW\"), whilst cloud base categories were established using the following equation (=IF(CloudBase<350,\"Fog\",IF(CloudBase >650,\"High\",\"Low\")). Bat activity data was expressed as passes per hour, and was calculated by the total number of passes/hours in night.","locations":["POLYGON((-3.883 57.073, -3.883 57.121, -3.76 57.121, -3.76 57.073, -3.883 57.073))"],"metadataDate":"2026-09-15T08:46:04.000Z","orcid":["0000-0003-2428-272X","0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-09-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486","doi:10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486","https://catalogue.ceh.ac.uk/id/cee99bc4-15f7-42a0-bbbc-d3085ebfa486"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Acoustic bat data, Cairngorms 2014","version":1.0,"view":["public","dcmo"]},{"catalogue":"ukceh","description":"COSMOS-UK is a network of soil moisture monitoring sites in the UK. It provides data for use in a variety of applications including farming, water resources, flood forecasting and land-surface modelling.\n\nFunded by the Natural Environment Research Council, the network is run by the UK Centre for Ecology & Hydrology. There are currently 44 sites across the UK. Each site is equipped with an instrument that uses cosmic-rays to sense soil moisture over an area of about 12 hectares (about 30 acres).\n\nData from the network have the potential to transform the way that we understand and model the natural environment.\n\nThis website and embedded data services are maintained on a reasonable endeavours basis. See Terms and Conditions for more information.","documentType":"monitoring-programme","environmentalDomains":["Groundwater"],"identifier":"5ecf8f23-caf9-4f4b-8ee4-d22764a42262","incomingCitationCount":0,"locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-09T13:46:04.000Z","operationalStatus":"Unknown","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Monitoring programme","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5ecf8f23-caf9-4f4b-8ee4-d22764a42262"],"resourceType":"Monitoring programme","shortenedDescription":"COSMOS-UK is a network of soil moisture monitoring sites in the UK. It provides data for use in a variety of applications including farming, water resources, flood forecasting and land-surface modelling.\n\nFunded by the Natural Environment Research Council, the network…","state":"published","title":"Cosmic-ray soil moisture monitoring network (COSMOS-UK)","version":1.0,"view":["public","phtr","epimorphics"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Roberts","Old","Naden"],"authorFullName":["Rameshwaran, P.","Roberts, C.","Old, G.H.","Naden, P."],"authorGivenName":["P.","C.","G.H."],"authorOrcid":["0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A range of hydraulics data including stages and discharges were collected for the River and Leat at Boxford between 01/04/2008 and 30/09/2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn Observatory comprises a 600 m reach of river and 24 acres of associated water meadows at Boxford, Berkshire. \nData include:\n  1. River flow gauging using Electro-magnetic Current Meter (ECM);\n  2. Leat flow gauging using Electro-magnetic Current Meter (ECM);\n  3. River flow gauging using Acoustic Doppler Current Profiler (ADCP);\n  4. River stage boards readings (eleven Stage boards);\n  5. Leat stage boards readings (six Stage boards);\n  6. River stage at water quality station (WQS) using Druck PDCR 1830 Submersible Pressure Transducer;\n  7. River stage at four stilling wells using SWS Technology Mini-Diver® Non-Vented Level Sensors with a built-in internal data logger (four locations);\n  8. Time series river discharges at Boxford which are calculated from the relationship obtained between discharge measurements taken monthly at Boxford using ADCP and total river discharges at Shaw gauging station;\n  9. Time series of the Leat discharges which are calculated from the relationship obtained between discharge measurements taken mo","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Roberts","Old","Naden"],"fullName":["Rameshwaran, P.","Roberts, C.","Old, G.H.","Naden, P."],"givenName":["P.","C.","G.H."],"identifier":"4ed6f721-b23b-454e-b185-02ba54d551f0","incomingCitationCount":2,"keyword":["The River Lambourn","Boxford","Berkshire","United Kingdom","Hydrology","Hydraulics data","Flow gauging","River stage","Time series data","hydraulics","river"],"keywordsOther":["Hydraulics data","Flow gauging","River stage","Time series data","hydraulics","river"],"keywordsPlace":["The River Lambourn","Boxford","Berkshire","United Kingdom"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Please read supporting document: Boxford_Hydraulics_Readme.csv","locations":["POLYGON((-1.387 51.443, -1.387 51.448, -1.382 51.448, -1.382 51.443, -1.387 51.443))"],"metadataDate":"2026-09-15T08:44:18.000Z","orcid":["0000-0002-8972-953X"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1437062738409","CEH:EIDC::1437062738409","https://catalogue.ceh.ac.uk/id/4ed6f721-b23b-454e-b185-02ba54d551f0","10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0","doi:10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A range of hydraulics data including stages and discharges were collected for the River and Leat at Boxford between 01/04/2008 and 30/09/2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn…","state":"published","temporalExtentText":"Data collected from 2008 to 2014","title":"Hydraulics data for the River Lambourn at Boxford, 2008 to 2014","topic":["0/Hydrology/"],"version":1.0,"view":["public","ponr"]},{"catalogue":"infrastructure","description":"The purpose of the Predatory Bird Monitoring Scheme is to understand how and why environmental concentrations of pollutants vary across space and time, and the risks they pose to wildlife.  Birds of prey act as sentinel indicators of wildlife health because polluting chemicals accumulate as they pass through the food chain to these top predators.  PBMS relies on the public (citizen science) to send bird samples to UKCEH.  The information provided by PBMS informs government regulators of chemical use, chemical manufacturers and environmental researchers.","documentType":"infrastructurerecord","identifier":"6bab24df-3976-4351-8f63-c8d263857f4d","incomingCitationCount":0,"infrastructureCapabilities":"PBMS receives bird carcasses from members of the public and eggs from licenced egg collectors.  Carcasses and eggs from across the UK are analysed for chemical and heavy metal pollutants: Polybrominated Diphenyl Ethers (PBDEs); Second Generation Anticoagulant Rodenticides (SGARs); Lead (Pb); Mercury (Hg); Other toxic and essential metals.  Preserved samples of predatory bird tissue are also kept in the Predatory Bird Tissue Bank (see sub-category 4 below).","infrastructureCategory":["Wildlife monitoring schemes"],"infrastructureChallenge":["Pollution"],"infrastructureClass":["Environmental observatories"],"infrastructureScale":"UK","keyword":["Birds","Raptors"],"metadataDate":"2026-01-19T13:47:28.000Z","recordType":"Science infrastructure","resourceIdentifier":["https://catalogue-staging.ceh.ac.uk/id/e77807df-fa39-46f3-8ddc-47c3681f22a4","https://catalogue.ceh.ac.uk/id/6bab24df-3976-4351-8f63-c8d263857f4d"],"resourceType":"Science infrastructure","scienceArea":"Pollution","shortenedDescription":"The purpose of the Predatory Bird Monitoring Scheme is to understand how and why environmental concentrations of pollutants vary across space and time, and the risks they pose to wildlife.  Birds of prey act as sentinel indicators of wildlife health because polluting…","state":"published","title":"Predatory Bird Monitoring Scheme (PBMS)","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Leeds","Smithsonian Tropical Research Institute","Princeton University","University of Freiburg","Yale-NUS College, National University of Singapore"],"authorFamilyName":["Batterman","Hall","Turner","Hedin","LaHaela Walter","Sheldon","van Breugel"],"authorFullName":["Batterman, S.A.","Hall, J.S.","Turner, B.","Hedin, L.O.","LaHaela Walter, J.K.","Sheldon, P.","van Breugel, M."],"authorGivenName":["S.A.","J.S.","B.","L.O.","J.K.","P.","M."],"authorOrcid":["0000-0002-7703-9873","0000-0003-4761-9268","0000-0002-6585-0722","0000-0003-2778-7803"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/035jbxr46","https://ror.org/00hx57361","https://ror.org/0245cg223"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data includes information about nitrogen fixation, phosphatase activity, plant nitrogen and phosphorus demand and soil nitrogen and phosphorus availability of nitrogen-fixing and non-fixing trees from seven species grown in an experimental plantation at the Agua Salud Native Species Plantation, El Giral, Panama (9°12'50.15''N, 79°43'26''W). Data were collected by the Smithsonian Tropical Research Institute and Princeton University and were analysed by the University of Leeds.\n\nThis work was funded by the following organisations: Heising-Simons Foundation, Hoch Family, ForestGEO®, HSBC, Stanley Motta, Small World Institute Fund, Smithsonian Institution's Competitive Grants for Science, Smithsonian Institution's Grand Challenges, National Science Foundation (award reference: EAR-1360391), National University of Singapore, Smithsonian Tropical Research Institute, Yale-NUS college, Princeton University, Princeton Environmental Institute, Princeton Carbon Mitigation Initiative, University of Leeds and NERC (award reference: NE/M019497/1)","documentType":"GEMINI_DOCUMENT","familyName":["Batterman","Hall","Turner","Hedin","LaHaela Walter","Sheldon","van Breugel"],"fullName":["Batterman, S.A.","Hall, J.S.","Turner, B.","Hedin, L.O.","LaHaela Walter, J.K.","Sheldon, P.","van Breugel, M.","Batterman, S."],"funder":["Natural Environment Research Council"],"givenName":["S.A.","J.S.","B.","L.O.","J.K.","P.","M.","Sarah"],"grant":["NE/M019497/1"],"identifier":"3578bae2-4b88-4b2e-93e1-6965dfe1348c","incomingCitationCount":1,"keyword":["El Giral","Panama","biogeochemical niche","nutrient acquisition","nutrient limitation","nutrient stategy","phosphatase activity","species-specific differences","symbiotic nitrogen fixation","tropical carbon sink","nitrogen","carbon","phosphorus","biodiversity","biogeochemistry","nutrient","nitrogen fixation"],"keywordsOther":["biogeochemical niche","nutrient acquisition","nutrient limitation","nutrient stategy","phosphatase activity","species-specific differences","symbiotic nitrogen fixation","tropical carbon sink","nitrogen","carbon","phosphorus","biodiversity","biogeochemistry","nutrient","nitrogen fixation"],"keywordsPlace":["El Giral","Panama"],"licence":"Open government licence","lineage":"The dataset includes the original values for all variables except nitrogen fixation and phosphatase activity, which represent the mean across replicates within a tree (three replicates for fixation rate, five replicates for phosphatase activity). Data have not been transformed and no outliers were removed.\n\nNitrogen fixation was measured using three approaches: (1) To measure nodule biomass, six 5.5 cm diameter soil cores were taken from within two meters of the base of the tree and examined for root nodules in the lab. (2) To measure rates of fixation within the nodules of the majority of trees, nodules were excavated from fine roots at the base of each tree and acetylene reduction assay was conducted immediately. (3) To obtain the conversion of acetylene reduced to nitrogen fixed, nodules were excavated from fine roots at the base of a subset of trees and were incubated with labeled 15N and later analysed with isotope ratio mass spectrometry to determine the nitrogen fixed relative to non-enriched control nodules for each tree. Data were expressed as nodule biomass, nitrogen fixation rate converted to grams nitrogen fixed per area of rooting zone of the focal tree.","locations":["POLYGON((-79.747 9.205, -79.747 9.231, -79.71 9.231, -79.71 9.205, -79.747 9.205))"],"metadataDate":"2026-09-15T08:40:10.000Z","orcid":["0000-0002-7703-9873","0000-0003-4761-9268","0000-0002-6585-0722","0000-0003-2778-7803"],"organisation":["University of Leeds","Smithsonian Tropical Research Institute","Princeton University","University of Freiburg","Yale-NUS College, National University of Singapore","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-07-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3578bae2-4b88-4b2e-93e1-6965dfe1348c","10.5285/3578bae2-4b88-4b2e-93e1-6965dfe1348c","doi:10.5285/3578bae2-4b88-4b2e-93e1-6965dfe1348c"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/035jbxr46","https://ror.org/00hx57361","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This data includes information about nitrogen fixation, phosphatase activity, plant nitrogen and phosphorus demand and soil nitrogen and phosphorus availability of nitrogen-fixing and non-fixing trees from seven species grown in an experimental plantation at the Agua…","state":"published","temporalExtentText":"Data collected from 2011 to 2011","title":"Nitrogen fixation and phosphatase activity of 97 nitrogen-fixing and non-fixing trees in Panama","version":1.0,"view":["public","kath"]},{"authorAffiliation":["Loughborough University"],"authorFamilyName":["Jiang","Liang"],"authorFullName":["Jiang, J.","Liang, Q."],"authorGivenName":["Jinghua","Qiuhua"],"authorOrcid":["0000-0002-6973-6564","0000-0003-3223-6344"],"authorRor":["https://ror.org/04vg4w365"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["TIFF"],"description":"The dataset contains 20 GeoTIFF rasters of maximum overland water depth simulated using a GPU-accelerated two-dimensional hydrodynamic framework (HiPIMS) with a per-timestep bidirectionally coupled Sustainable Drainage System (SuDS) module, applied to complement urban pluvial flood risk assessment in Ninh Kieu District, Can Tho City, Vietnam. Can Tho City experiences frequent flooding - with tidal surges from the Can Tho River - significant flood management works are currently underway through the Can Tho Urban Development and Resilience Project. \n\nRasters are provided for four scenario types (one no-SuDS baseline and three SuDS types: green roof, bio-retention cell, and rain garden) under five design rainfall return periods (5, 10, 20, 50, and 100 years), yielding 20 simulations in total. Each raster records the maximum overland water depth (m) at each 1 m grid cell across the full 3-hour simulation.","documentType":"GEMINI_DOCUMENT","familyName":["Jiang","Liang"],"fullName":["Jiang, J.","Liang, Q.","Jinghua Jiang"],"funder":["Natural Environment Research Council"],"givenName":["Jinghua","Qiuhua"],"grant":["NE/S008926/1"],"identifier":"9f801d1f-01a2-44a2-8f10-2881332c846a","incomingCitationCount":0,"keyword":["Hydrology","Modelling","urban pluvial flooding","Nature-based solutions","Sustainable Drainage Systems","suDS","HiPIMS","hydrodynamic modelling","GPU acceleration","green roof","bio-retention","rain garden","scenario analysis","Mekong Delta","Can Tho","Vietnam"],"keywordsOther":["urban pluvial flooding","Nature-based solutions","Sustainable Drainage Systems","suDS","HiPIMS","hydrodynamic modelling","GPU acceleration","green roof","bio-retention","rain garden","scenario analysis","Mekong Delta","Can Tho","Vietnam"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"Numerical simulation (HiPIMS hydrodynamic model with bidirectionally coupled SuDS module). Two-dimensional hydrodynamic simulation using HiPIMS (GPU-accelerated, Godunov-type finite volume scheme, MUSCL-Hancock method) at 1 m resolution, driven by spatially uniform design rainfall inputs. The SuDS module computes Green-Ampt infiltration and Darcy drainage within SuDS cells at each computational time step, exchanging water flux bidirectionally with the overland flow solver. Maximum water depth at each cell was recorded across all output time steps to produce h_max_10800.tif at the end of the 3-hour simulation. The study domain covers approximately 5.29 km² of Ninh Kieu District, simulated at 1 m spatial resolution. Design rainfall events follow the intensity-duration-frequency relationships derived for Can Tho. \n\nRaw HiPIMS outputs (water depth rasters saved at regular output intervals) were processed to extract the maximum depth at each grid cell across the full simulation duration, yielding h_max_10800.tif at t = 10800 s.","locations":["POLYGON((104.387 8.465, 104.387 10.956, 107.036 10.956, 107.036 8.465, 104.387 8.465))"],"metadataDate":"2026-07-25T10:26:08.000Z","orcid":["0000-0002-6973-6564","0000-0003-3223-6344"],"organisation":["Loughborough University","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-06-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f801d1f-01a2-44a2-8f10-2881332c846a","10.5285/9f801d1f-01a2-44a2-8f10-2881332c846a","doi:10.5285/9f801d1f-01a2-44a2-8f10-2881332c846a"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains 20 GeoTIFF rasters of maximum overland water depth simulated using a GPU-accelerated two-dimensional hydrodynamic framework (HiPIMS) with a per-timestep bidirectionally coupled Sustainable Drainage System (SuDS) module, applied to complement urban…","state":"published","title":"Maximum inundation depth rasters for urban pluvial flood risk assessment modelled under four different scenarios, Ninh Kieu District, Can Tho City, Vietnam","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Lincoln"],"authorFamilyName":["Holmes","Soulsbury","Montealegre-Z"],"authorFullName":["Holmes, L.B.","Soulsbury, C.D.","Montealegre-Z, F."],"authorGivenName":["L.B.","C.D.","F."],"authorRor":["https://ror.org/03yeq9x20"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","wav","txt"],"description":"Data deposited includes all raw measurement data (.csv files) of the neotropical katydid species such as body length and body weight along with the ingredient breakdown of the various diets used. Also included are Laser Doppler Vibrometry data (.txt files; used to scan the forewings and determine the resonance of each male), and audio recordings (.wav files) of several males (to determine the difference in period duration between the males). All data provided here allow the reader to recreate the analysis carried out in the study.","documentType":"GEMINI_DOCUMENT","familyName":["Holmes","Soulsbury","Montealegre-Z"],"fullName":["Holmes, L.B.","Soulsbury, C.D.","Montealegre-Z, F.","Lewis Holmes"],"funder":["Natural Environment Research Council"],"givenName":["L.B.","C.D.","F."],"grant":["NE/T014806/1"],"identifier":"9ea33c71-527e-4533-8a3b-831fc697e875","incomingCitationCount":0,"keyword":["Evolutionary ecology","diet","male dimorphism","bush cricket","alternative reproductive tactic","nutrition"],"keywordsOther":["diet","male dimorphism","bush cricket","alternative reproductive tactic","nutrition"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"Raw measurement data was manually inputted into Excel following physical measurements of living organisms. These data were then converted for use in Rstudio..\nLaser data was created through scanning the forewings of males using a Laser Doppler Vibrometer. This data was extracted as .txt files and was analysed in MatLab using custom made scripts.\nAudio recordings were created by recording the calling song of males using ultrasonic audio equipment. This data was extracted as .wav files and analysed using custom made scripts in MatLab as well as manual measurements of period duration in Adobe.","metadataDate":"2026-07-25T10:25:47.000Z","organisation":["University of Lincoln","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9ea33c71-527e-4533-8a3b-831fc697e875","10.5285/9ea33c71-527e-4533-8a3b-831fc697e875","doi:10.5285/9ea33c71-527e-4533-8a3b-831fc697e875"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Lincoln"],"ror":["https://ror.org/03yeq9x20","https://ror.org/04xw4m193"],"shortenedDescription":"Data deposited includes all raw measurement data (.csv files) of the neotropical katydid species such as body length and body weight along with the ingredient breakdown of the various diets used. Also included are Laser Doppler Vibrometry data (.txt files; used to scan…","state":"published","title":"Measurements of dimorphic colouration and weaponry in males of a neotropical katydid species fed a variety of diets","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Manchester Metropolitan University"],"authorFamilyName":["Jenkinson","Dean","Redfern","Shaw"],"authorFullName":["Jenkinson, L.A.","Dean, A.P.","Redfern, J.","Shaw, K.J."],"authorGivenName":["L.A.","A.P.","J.","K.J."],"authorOrcid":["0000-0001-6893-5118","0000-0003-0958-683X","0000-0001-9241-4195"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature, pH, oxygen and conductivity measures. Water samples were also collected and analysed in the laboratory for anion, cation and metal concentrations, chlorophyll-a concentrations and cyanobacteria identification and counts. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011607/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Jenkinson","Dean","Redfern","Shaw"],"fullName":["Jenkinson, L.A.","Dean, A.P.","Redfern, J.","Shaw, K.J.","Shaw, K."],"funder":["Natural Environment Research Council"],"givenName":["L.A.","A.P.","J.","K.J.","Kirsty"],"grant":["NE/X011607/1"],"identifier":"3fcb8359-9ca3-4319-b680-e0286f59571a","incomingCitationCount":0,"keyword":["Cheshire Meres","Environmental survey","Water chemistry","Cyanobacteria ","algal bloom"],"keywordsOther":["Water chemistry","Cyanobacteria ","algal bloom"],"keywordsPlace":["Cheshire Meres"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Samples were taken on a weekly basis from three sampling locations at each site. Field measurements were conducted for pH, conductivity, oxygen and temperature, using field meters calibrated according to the manufacturer’s instructions. \n\nFor analysis of water chemistry, water samples were filtered and ran using ion chromatography (IC) to quantify chloride, nitrite, sulphate, nitrate, phosphate, sodium, ammonium, magnesium, potassium and calcium.  \n\nChlorophyll-a samples were prepared by filtering water onto a Whatman filter paper (0.2µm) and extracted in 96% ethanol, before absorbance was measured at wavelengths of 665 and 750 nm. \n\nCyanobacterial were identified and enumerated using a Sedgewick-Rafter slide and analysed using a light microscope. \n","locations":["POLYGON((-2.445 53.306, -2.445 53.36, -2.347 53.36, -2.347 53.306, -2.445 53.306))"],"metadataDate":"2026-07-24T20:41:40.000Z","orcid":["0000-0001-6893-5118","0000-0003-0958-683X","0000-0001-9241-4195"],"organisation":["Manchester Metropolitan University","NERC EDS Environmental Information Data Centre","Manchester Metropolitan University "],"publicationDate":"2024-05-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3fcb8359-9ca3-4319-b680-e0286f59571a","10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a","doi:10.5285/3fcb8359-9ca3-4319-b680-e0286f59571a"],"resourceType":"Dataset","rightsHolder":["Manchester Metropolitan University "],"ror":["https://ror.org/04xw4m193","https://ror.org/02hstj355"],"shortenedDescription":"This dataset contains information about water conditions at Tatton Mere and Rostherne Mere, Cheshire over Summer 2022. Data was collected weekly as part of a study into the presence of algal blooms and the toxins they may produce. In situ testing recorded temperature,…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Environmental and biological measurements from Tatton Mere and Rostherne Mere, UK, 2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"availability":"Unknown","catalogue":"ukscape","description":"A map of bird submissions has been produced that links directly to the Predatory Bird Monitoring Scheme (PBMS) database. The map (an R shiny App) is interactive and allows users to examine bird submissions since 1990 and identify e.g. the bird they submitted, birds submitted in their area, select for female or male birds or by age, etc. There is also an option to display the bird data as Polychlorinated biphenyl (PCB) concentrations; this is only selected data for birds that have been analysed for PCBs - all birds receive a post mortem but only a selection are analysed (through specific funding). \n\nPCBs are highly toxic industrial compounds and although they were banned in 1981 in the UK, they persist in the environment at dangerous levels because they are slow to break down.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Walker"],"fullName":["Walker, L."],"givenName":["Lee"],"identifier":"26bf5acd-58f2-429a-a8d4-db6a7b010602","incomingCitationCount":0,"keyword":["Pollution","Predatory Bird Monitoring Scheme","Chemical risks","Maps","Web Portal","Data Lab"],"keywordsOther":["Pollution","Predatory Bird Monitoring Scheme","Chemical risks","Maps","Web Portal","Data Lab"],"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":"2026-07-24T19:26:50.000Z","organisation":["UK Centre for Ecology & Hydrology"],"recordType":"Application","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26bf5acd-58f2-429a-a8d4-db6a7b010602"],"resourceType":"Application","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"A map of bird submissions has been produced that links directly to the Predatory Bird Monitoring Scheme (PBMS) database. The map (an R shiny App) is interactive and allows users to examine bird submissions since 1990 and identify e.g. the bird they submitted, birds…","state":"published","supplementalName":["User Manual"],"title":"Predatory Bird Monitoring Scheme (PBMS): map of bird submissions","version":1.0,"view":["public","leew","jakqui"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Jarvis","Arnett","Redhead","Pywell"],"authorFullName":["Jarvis, S.","Arnett, J.","Redhead, J.","Pywell, R."],"authorGivenName":["Susan","Jack","John","Richard"],"authorOrcid":["0000-0001-5382-5135","0000-0002-2233-3848","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"UKCEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland for three time periods (2012-2014, 2016-2018, 2020-2022). The product provides application estimates for 183 different active ingredients including herbicides, insecticides, molluscicides and fungicides. It is produced at a 1km resolution with units of kg active ingredient applied per year. This version of UKCEH Land Cover plus: Pesticides provides average annual application for three different time periods (2012-2014, 2016-2018, 2020-2022), allowing users to assess change in applications over time. This differs from the previous version of UKCEH Land Cover plus: Pesticides which provided a snapshot for a single time period (2012-2017).\n\nPesticide application rates (kg/km2/yr) are calculated for each of the crops grown in each 1km square, using information from CEH Land Cover® Plus: Crops to determine where each crop is grown. A backcasting method was used to estimate crop cover for the earliest time period. Pesticide application data is provided by the Pesticide Usage Survey. Uncertainty maps are produced alongside each active ingredient map to quantify the level of confidence in the estimated applications. Uncertainty is quantified using the distribution of each parameter estimate obtained from the modelling method and is expressed relative to the total application. The product builds upon the UKCEH Land Cover® Plus: Crops product.","documentType":"GEMINI_DOCUMENT","familyName":["Jarvis","Arnett","Redhead","Pywell"],"fullName":["Jarvis, S.","Arnett, J.","Redhead, J.","Pywell, R.","Susan Jarvis"],"funder":["Natural Environment Research Council"],"givenName":["Susan","Jack","John","Richard"],"grant":["NE/W005050/1"],"identifier":"d4259244-ce78-4248-811f-216495c32fec","incomingCitationCount":0,"keyword":["Agriculture","Environmental risk","Mapping","Pollution","plant protection product","herbicide","fungicide","insecticide"],"keywordsOther":["plant protection product","herbicide","fungicide","insecticide"],"keywordsTheme":["Agriculture","Environmental risk","Mapping","Pollution"],"licence":"Non-Open government licence","lineage":"The maps use data from the Fera Pesticide Utilisation Surveys (PUS), SASA (Science and Advice for Scottish Agriculture) Pesticide Survey Unit and CEH Land Cover® plus: Crops and have been assessed for quality. Briefly, data on pesticide application rates at county level are interpolated and matched to cropping data to create an estimate of application to each 1km square in England, Scotland and Wales for each time period. For further information, please see the supporting documentation available with this data product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-03T08:56:04.000Z","orcid":["0000-0001-5382-5135","0000-0002-2233-3848","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4259244-ce78-4248-811f-216495c32fec","10.5285/d4259244-ce78-4248-811f-216495c32fec","doi:10.5285/d4259244-ce78-4248-811f-216495c32fec"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"UKCEH Land Cover plus: Pesticides maps annual average pesticide applications across England, Wales and Scotland for three time periods (2012-2014, 2016-2018, 2020-2022). The product provides application estimates for 183 different active ingredients including herbicides,…","state":"published","temporalExtentText":"Data collected from 2012 to 2022","title":"UKCEH Land Cover plus: Pesticides 2012-2014, 2016-2018 and 2020-2022 (England, Scotland and Wales)","topic":["0/Agriculture/","0/Environmental risk/","0/Mapping/","0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Wright"],"authorFullName":["Wright, S.M."],"authorGivenName":["S.M."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic Energy Authority extrapolated across Great Britain using a 5 by 5 km resolution UKCIP precipitation dataset. The prediction is for 31 December 1985. ","documentType":"GEMINI_DOCUMENT","familyName":["Wright"],"fullName":["Wright, S.M.","Wright, S."],"givenName":["S.M.","Simon"],"identifier":"c3e530bf-af20-43fc-8b4b-92682233ff08","incomingCitationCount":1,"keyword":["Scotland","Wales","England","Great Britain","Mapping","Radioecology","Radiocaesium","Cs137","Atmospheric nuclear weapons tests","radioecology","rain","atmospheric precipitation","nuclear hazard"],"keywordsOther":["Radiocaesium","Cs137","Atmospheric nuclear weapons tests","radioecology","rain","atmospheric precipitation","nuclear hazard"],"keywordsPlace":["Scotland","Wales","England","Great Britain"],"keywordsTheme":["Mapping","Radioecology"],"licence":"Open government licence","lineage":"The methodlogy used to estimate Cs137 deposition from atmospheric nuclear weapons tests was originally developed in the Artic Monitoring and Assessment Programme (AMAP) to estimate rates of radiocaesium transfer from soil to vegetation and food products. The method was then used to estimate Cs137 deposition from atmospheric nuclear weapons tests in Great Britain to allow quantification of Cs137 from the Chernobyl accident in 1986. \nSee also: Wright, S.M., Howard, B.J., Strand, P. Nylen, T & Sickel, M.A.K. 1999 Prediction of 137Cs deposition from atmospheric nuclear weapons tests within the Arctic. Environmental Pollution, 104, 131-143.","locations":["POLYGON((-13.01 47.819, -13.01 61.132, 3.555 61.132, 3.555 47.819, -13.01 47.819))"],"metadataDate":"2026-09-15T08:37:13.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-09-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c3e530bf-af20-43fc-8b4b-92682233ff08","10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08","doi:10.5285/c3e530bf-af20-43fc-8b4b-92682233ff08"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Prediction of Caesium-137 (Cs-137) deposition from atmospheric nuclear weapons tests. The methodology uses a ratio of Cs-137 deposition and precipitation measured at Milford Haven by the Atomic Energy Authority extrapolated across Great Britain using a 5 by 5 km resolution…","state":"published","supplementalDescription":["Wright, S.M., Howard, B.J., Strand, P. Nylen, T & Sickel, M.A.K. 1999 Prediction of 137Cs deposition from atmospheric nuclear weapons tests within the Arctic. Environmental Pollution, 104, 131-143."],"temporalExtentText":"Data collected from 1985 to 1985","title":"Predicted Caesium-137 deposition from atmospheric nuclear weapons tests","topic":["0/Mapping/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Cowan","Levy","Skiba","Famulari","Anderson"],"authorFullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Famulari, D.","Anderson, M."],"authorGivenName":["N.J.","P.E.","U.M.","D.","M."],"authorOrcid":["0000-0002-8505-1901","0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains terrestrial fluxes of N2O from an intensively managed grazed grassland in Scotland measured using eddy covariance and chamber methods . The effect of a tillage event and two nitrogen fertilizer applications were investigated by comparing N2O fluxes from two adjacent intensively managed grazed grasslands , one of which was tilled. An eddy covariance system mounted at 2.4 m was used to measure fluxes of N2O, H2O and CO2 using a quantum cascade laser (QCL) gas analyser. Flux measurements were made over a six month period starting at the end of March, 2012. Chamber measurements were also made using both static and dynamic chambers. The data was collected as part of the GHG Platform project AC0116 funded by DEFRA.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Levy","Skiba","Famulari","Anderson"],"fullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Famulari, D.","Anderson, M.","Cowan, N."],"givenName":["N.J.","P.E.","U.M.","D.","M.","Nicholas"],"identifier":"7f54018c-3071-4213-8cee-78f8bd57977d","incomingCitationCount":0,"keyword":["Pollution","InveN2Ory"],"keywordsOther":["InveN2Ory"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Eddy covariance raw data from the QCL and sonic anemometer was recorded in tandem using a Labview program. This data was then processed using the Eddypro software version 5.2.1. The data was filtered through a quality control system as described in Cowan, N. J., Levy, P. E., Famulari, D., Anderson, M., Drewer, J., Carozzi, M., Reay, D. S., and Skiba, U. M.: The influence of tillage on N~2~O fluxes from an intensively managed grazed grassland in Scotland, Biogeosciences, 13, 4811-4821, https://doi.org/10.5194/bg-13-4811-2016, 2016.\nRaw concentration data for the chamber methods was processed to calculate fluxes. These fluxes were calculated using the HMR package in the statistical environment R.\nMet data from the Easter Bush site was collected in 2012 by various methods and quality control was carried out by comparison with nearby met stations. \n","locations":["POLYGON((-4.888 55.556, -4.888 56.957, -1.704 56.957, -1.704 55.556, -4.888 55.556))"],"metadataDate":"2026-07-25T06:58:53.000Z","orcid":["0000-0002-8505-1901","0000-0001-8659-6092"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f54018c-3071-4213-8cee-78f8bd57977d","10.5285/7f54018c-3071-4213-8cee-78f8bd57977d","doi:10.5285/7f54018c-3071-4213-8cee-78f8bd57977d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains terrestrial fluxes of N2O from an intensively managed grazed grassland in Scotland measured using eddy covariance and chamber methods . The effect of a tillage event and two nitrogen fertilizer applications were investigated by comparing N2O fluxes…","state":"published","temporalExtentText":"Data collected from 2012 to 2012","title":"Nitrous oxide fluxes from an intensively managed grazed grassland in Scotland","topic":["0/Pollution/"],"version":1.0,"view":["public","leav","rjr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the 10-metre Land Cover Map 2023. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Marston"],"fullName":["Marston, C."],"funder":["Natural Environment Research Council"],"givenName":["Chris"],"grant":["NE/R016429/1"],"identifier":"68712ac3-d740-41df-bcb3-4d341f859909","incomingCitationCount":0,"keyword":["Great Britain","UK-SCAPE","Land cover","Mapping","infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsOther":["infoMapAccessService","Web map service (WMS)","land cover","map"],"keywordsPlace":["Great Britain"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T12:11:50.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-17T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/68712ac3-d740-41df-bcb3-4d341f859909"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the 10-metre Land Cover Map 2023. The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Land Cover Map 2023 10m web map service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Southampton"],"authorFamilyName":["Wood","Hawkins","Godbold","Solan"],"authorFullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"authorGivenName":["C.L.","S.J.","J.A.","Martin"],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details total abundance (TA), total biomass (TB), species richness (SR) and evenness (J) [all based on abundance and biomass] and community bioturbation potential (BPc) across six intertidal sites in the winter and summer of 2013. The data provide metrics relating to the macrofaunal communities present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other three in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering four spatial scales. Three replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals were identified to species (or most appropriate taxon), counted and weighed. The resulting abundance and biomass data were then used to calculate TA, TB, SR, J (based on abundance and biomass) and BPc.\n\nThe data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (Winter) and across all sites, at the 1m scale.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.\n","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Hawkins","Godbold","Solan"],"fullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.J.","J.A.","Martin"],"grant":["NE/J015644/1"],"identifier":"f7bad4d2-aef2-4db6-be34-adbe185b88c3","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","macrofauna","total biomass","total abundance","species richness","evenness","bioturbation","community bioturbation potential","BPc","mudflat","season","spatial scale","BESS","CBESS","salt marsh","sediment","benthic ecosystem","intertidal zone","biodiversity","species","biomass","ecological abundance"],"keywordsOther":["macrofauna","total biomass","total abundance","species richness","evenness","bioturbation","community bioturbation potential","BPc","mudflat","season","spatial scale","BESS","CBESS","salt marsh","sediment","benthic ecosystem","intertidal zone","biodiversity","species","biomass","ecological abundance"],"keywordsPlace":["Morecambe Bay","Essex"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).\n\n3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon). To obtain the abundance data, each individual of each species was counted and stored in vials containing 70 percent IMS. In cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots and a YES/NO presence noted. To obtain the biomass data, the individuals of each taxon (from one replicate) were blotted on tissue paper to remove any excess IMS. They were then weighed on a balance and the weight was recorded to 0.0001g. In situations where the animals were too light to register on the balance, a weight of 0.0001g was recorded. (The same method was used to obtain biomass values for major group debris.) The data were then multiplied by 127.323955 to give results in metres squared (rounded to the nearest whole individual for abundance and nearest 0.0001g for biomass). The abundance and biomass data was then used to calculate each metric as follows:\n\nTA = sum of abundance of all species per m squared.\n\nTB = sum of biomass of all species per m squared.\n\nSR = total number of species per m squared.\n\nJ (abundance) = Pielou's evenness based on abundance = H/Hmax Where H = Shannon Weiner Index calculated from abundance and Hmax = maximum diversity possible = lnSR.\n\nJ (biomass) = Pielou's evenness based on biomass = H/Hmax Where H = Shannon Weiner Index calculated from biomass and Hmax = maximum diversity possible = lnSR.\n\nBPc = Sum of all BPp of all species per m squared where BPp = BPi x Ai Where Ai = Individual species abundance per m squared and BPi = (square root Bi) x Mi x Ri Where Bi = individual biomass per m squared. Mi = individual species mobility. Ri = individual species reworking.\n","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-09-15T08:44:51.000Z","organisation":["University of Southampton","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7bad4d2-aef2-4db6-be34-adbe185b88c3","10.5285/f7bad4d2-aef2-4db6-be34-adbe185b88c3","doi:10.5285/f7bad4d2-aef2-4db6-be34-adbe185b88c3"],"resourceType":"Dataset","rightsHolder":["University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details total abundance (TA), total biomass (TB), species richness (SR) and evenness (J) [all based on abundance and biomass] and community bioturbation potential (BPc) across six intertidal sites in the winter and summer of 2013. The data provide metrics…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal community metrics - total abundance (TA), total biomass (TB), species richness (SR), evenness (J) and community bioturbation potential (BPc) in mudflat and saltmarsh habitats","version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/documents"}