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The rainfall component of the model is based on the Neyman-Scott Rectangular Pulse process. The weather and potential evapotranspiration component is based on a regression model. It has been tested against other software (RainSim V3) and against observations (although like all models it has limitations and prospective users should ensure that the model is fit-for-purpose in their applications).\n\nThe historical climate time series were obtained by extracting data from the quality-controlled version (qc1) of the UKMO MIDAS-Open data collection. Further spot checks were undertaken to confirm that the extraction, processing and reformatting appear to have worked satisfactorily.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:16:06.000Z","orcid":["0000-0002-9215-7210"],"organisation":["Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-17T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/44c577d3-665f-40de-adce-74ecad7b304a","10.5285/44c577d3-665f-40de-adce-74ecad7b304a","doi:10.5285/44c577d3-665f-40de-adce-74ecad7b304a"],"resourceType":"Model","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential…","state":"published","title":"Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"availability":"Unknown","catalogue":"eidc","description":"Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach. Please see Scott, 2008 for further details of similar statistical analysis (http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf ). The estimated means of habitat/parent material combinations using 2007 data are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model (see Dataset Documentation).","documentType":"GEMINI_DOCUMENT","familyName":["Keith"],"fullName":["Keith, A.M."],"givenName":["A.M."],"identifier":"467ada26-957a-40df-a60a-f385c828a923","incomingCitationCount":0,"keyword":["Soil","Modelling","Countryside survey","topsoil","carbon","nutrients","invertebrates","moisture","pH","bulk density","microbes"],"keywordsOther":["Countryside survey","topsoil","carbon","nutrients","invertebrates","moisture","pH","bulk density","microbes"],"keywordsTheme":["Soil","Modelling"],"licence":"Non-Open government licence","lineage":"These data present estimates of mean values using a mixed model approach made using Countryside Survey data from 1978, 1998 and 2007. The estimated means are modelled on dominant habitat and parent material characteristics derived from the Land Cover Map 2007 and Parent Material Model 2009, respectively. The parent material characteristic used was that which minimised AIC in each model. Habitats such as urban and littoral rock, are not sampled by CS and therefore have no associated data. Also, in some circumstances sample sizes for particular habitat/parent material combinations were insufficient to estimate mean values. See Scott, 2008 for further details of similar statistical analysis (http://www.countrysidesurvey.org.uk/outputs/technical-reports).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:17:15.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-03-26T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1406625236725","CEH:EIDC::1406625236725","https://catalogue.ceh.ac.uk/id/467ada26-957a-40df-a60a-f385c828a923"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 1978, 1998 and 2007 using a mixed model approach. Please see Scott, 2008 for further details of similar statistical analysis…","state":"published","title":"Model estimates of topsoil properties [Countryside Survey]","topic":["0/Soil/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\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":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"8b37b063-b5fe-42cc-ab2d-bf96626da036","incomingCitationCount":0,"keyword":["Land cover","Land use","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T08:41:27.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b37b063-b5fe-42cc-ab2d-bf96626da036","10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036","doi:10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2017 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University"],"authorFamilyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"authorFullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J."],"authorGivenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J."],"authorOrcid":["0000-0003-3426-3178","0000-0002-5757-7420","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus, carbon and nitrogen, plant species cover, air temperature, soil temperature, soil moisture and surface leaf moisture. Greenhouse gas measurements were taken in the field. Soil cores were collected, then processed and analysed in the laboratory. Plant species cover was by visual estimate and final plant biomass was collected, dried, and weighed.  Weather stations were used to collect temperature and moisture data.\n\nData were collected from six Swedish boreal forest sites forming a chronosequence ranging in age from approximately 45 to 365 years since last wildfire. This part of the project used soil and plant property data, climatic data, and age since wildfire to investigate controls on forest floor greenhouse gas fluxes. The project ran from 2012 to 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Mason","Oakley","Street","Arróniz-Crespo","Jones","DeLuca","Ostle"],"fullName":["Mason, K.E.","Oakley, S.","Street, L.E.","Arróniz-Crespo, M.","Jones, D.L.","DeLuca, T.H.","Ostle, N.J.","Mason, K."],"givenName":["K.E.","S.","L.E.","M.","D.L.","T.H.","N.J.","Kelly"],"identifier":"f08a5de5-55d4-44de-90e1-94bb4f814054","incomingCitationCount":0,"keyword":["Sweden","Soil","boreal forest","wild fires"],"keywordsOther":["boreal forest","wild fires"],"keywordsPlace":["Sweden"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Field data was collected in June and September 2012, June 2013, and July 2014.  Greenhouse gas fluxes were measured using infrared gas analysers (PP Systems EGM4) for CO2 and manual samples from static chambers for CH4 and N2O, which were analysed on a gas chromatogram (PerkinElmer Autosystem XL).  Data were quality controlled by plotting all data points and removing any points showing signs of the system not being settled or properly sealed.  Calibration standards were used for both systems.  At the time of sampling, measures of air temperature and photosynthetically active radiation were taken using a temperature probe (TinyTag) and PAR Quantum Sensor (Skye Instruments), respectively.\n\nSoil cores were collected either along a transect or from within the gas collars.  Cores were PVC pipes of 5 cm diameter and 10 cm length.  Manual processing (including oven-drying of samples) gave values for soil horizon depths, bulk density, and loss on ignition.  pH was determined by mixing 10 g fresh soil in 25 mL deionized water and measuring using a pH probe (Hanna Instruments).  Total phosphorous was obtained using a digestion method with analysis on a SEAL AutoAnalyser3 (Seal Analytical).  Total C:N was obtained by analysing samples on a Truspec C:N analyser (LECO Corp.).  Instruments were run with calibrated standards.\n\nEstimates of cover by individual plant species were made visually and photos were used for quality control.  Plant material was collected from within the gas collars, dried at 60ºC, and weighed for total biomass.\n\nAir temperature, soil temperature at 1 cm and 5 cm depth, soil moisture, and surface leaf moisture were measured using weather stations (Decagon Devices).  Data was plotted to quality control for errors caused by dead batteries, snow cover, etc.","locations":["POLYGON((17.505 65.416, 17.505 66.108, 19.67 66.108, 19.67 65.416, 17.505 65.416))"],"metadataDate":"2026-07-25T18:04:36.000Z","orcid":["0000-0003-3426-3178","0000-0002-5757-7420","0000-0003-3263-3702"],"organisation":["Centre for Ecology & Hydrology","University of Edinburgh","Universidad Politécnica de Madrid","Bangor University","University of Montana","Lancaster University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f08a5de5-55d4-44de-90e1-94bb4f814054","10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054","doi:10.5285/f08a5de5-55d4-44de-90e1-94bb4f814054"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/03n6nwv02","https://ror.org/006jb1a24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data collected during field experiments to investigate the effect of wildfires on greenhouse gas emissions across forests of differing ages in Sweden. Data comprise greenhouse gas measurements, soil horizon depth, bulk density, loss on ignition, pH, soil phosphorus,…","state":"published","title":"Boreal forest floor greenhouse gas emissions across a wildfire-disturbed chronosequence","topic":["0/Soil/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter","University of Plymouth","Universidad Nacional de Colombia"],"authorFamilyName":["Restrepo","Gonzalez-Caro","Taylor","Fuaset","Lara Rivera","Montoya","Patiño","Pérez","Mercado"],"authorFullName":["Restrepo, Z.","Gonzalez-Caro, S.","Taylor, T.C.","Fuaset, S.","Lara Rivera, V.","Montoya, J.F.","Patiño, M.C.","Pérez, J.","Mercado, L.M."],"authorGivenName":["Zorayda","Sebastián","Tyeen C.","Sophie","Valentina","Juan Fernando","María Camila","Juan","Lina M."],"authorOrcid":["0000-0002-3213-9985","0000-0002-2287-7431","0000-0002-0926-098X","0000-0003-4246-1828","0009-0009-7462-9120","0000-0003-1945-286X","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/059yx9a68"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset compiles leaf-level functional trait measurements collected along a tropical elevational gradient in the Colombian Andes across three common garden plantations with contrasting mean annual temperatures (MAT) (13.7 °C, 22.1 °C, and 25.5 °C). Experimental sites have been named after their MAT. Sampling included 15 dominant tree species at the 13.7 °C site, 10 species at the 22.1 °C site, and 4 species at the 25.5 °C site. Sampling at the 25.5°C site was done only for a limited type of measurements.\nThe dataset includes:\nHigh-resolution leaf thermocouple measurements and leaf level PAR data (1-minute resolution).\nLeaf temperature, relative humidity and air temperature (10-minute resolution).\nLeaf angle measurements (pitch, roll, azimuth, and vertical angle).\nLeaf optical properties (reflectance, transmittance, and absorptance).\nMinimum leaf conductance (gmin) and leaf area.\nLeaf thermotolerance traits, including T50, maximum fluorescence (Fm), variable fluorescence (Fv), and PSII efficiency metrics (Fv/Fm and Fv/F₀).\n\nMeasurement campaigns were conducted between January-February 2024 and April 2025.Together, these data provide a comprehensive characterization of leaf thermoregulation and tolerance traits across contrasting tropical montane environments, supporting research on plant ecophysiology, climate adaptation, and ecosystem responses to environmental stress.","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo","Gonzalez-Caro","Taylor","Fuaset","Lara Rivera","Montoya","Patiño","Pérez","Mercado"],"fullName":["Restrepo, Z.","Gonzalez-Caro, S.","Taylor, T.C.","Fuaset, S.","Lara Rivera, V.","Montoya, J.F.","Patiño, M.C.","Pérez, J.","Mercado, L.M.","Zorayda Restrepo Correa"],"funder":["Natural Environment Research Council"],"givenName":["Zorayda","Sebastián","Tyeen C.","Sophie","Valentina","Juan Fernando","María Camila","Juan","Lina M."],"grant":["NE/X001172/1"],"identifier":"23a59d77-6f2c-4c48-ac13-77ee7b21fcee","incomingCitationCount":0,"keyword":["Climate and climate change","Biodiversity","tropical forest","elevational gradient","plant ecology","leaf traits","heat stress","common garden","thermoregulation","thermotolerance"],"keywordsOther":["tropical forest","elevational gradient","plant ecology","leaf traits","heat stress","common garden","thermoregulation","thermotolerance"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"Experimental sites were established between December 2018 January 2019, spanning an elevation gradient in the Colombian Andes and are characterized as follows: 13.7°C MAT site (99th percentile temperature, T99 = 21°C; annual precipitation = 2774 mm; elevation = 2452 m.a.s.l., latitude = 5.513235 N and longitude = -75.67725 W ), 22.1°C MAT site (T99 = 33 °C; annual precipitation = 2045 mm; elevation = 1326 m.a.s.l.; latitude = 5.641699 N and longitude = -75.685982 W), and 25.5 °C MAT site (T99 = 38 °C; annual precipitation = 2298 mm; elevation = 736 m.a.s.l.; latitud e= 5,844349 N and longitude = -75.71034 W).\n\nAt each experimental site, 360 juvenile trees (1-2 years old) from 15 dominant Andean species (11 montane and 4 lowland species) were planted. All trees were planted in common soils originating from a high-elevation site and were regularly irrigated; however, only 10 and 4 species remained at the 22.1 and 25.5 °C sites, respectively.\n\nData were obtained through field sampling of individual trees, followed by standardized laboratory and field measurements. Leaf optical properties were measured using a miniature leaf spectrometer (CI-710, CID Bio-Science), and leaf area was quantified using an image-based analysis application (Petiole Pro). Leaf angle was measured using a smartphone-based application (protractor and compass tools). Physiological traits related to thermotolerance, thermoregulation, and temperature limits were assessed using controlled experimental protocols.\n\nDetails of sampling locations and protocols, data processing steps, and dataset-specific methodological information are provided in the supporting documentation. Further information about each experimental site is available at: https://andeantreewarming.wordpress.com","locations":["POLYGON((-75.805 5.462, -75.805 5.675, -75.697 5.675, -75.697 5.462, -75.805 5.462))"],"metadataDate":"2026-07-24T19:23:55.000Z","orcid":["0000-0002-3213-9985","0000-0002-2287-7431","0000-0002-0926-098X","0000-0003-4246-1828","0009-0009-7462-9120","0000-0003-1945-286X","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","University of Plymouth","Universidad Nacional de Colombia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/23a59d77-6f2c-4c48-ac13-77ee7b21fcee","10.5285/23a59d77-6f2c-4c48-ac13-77ee7b21fcee","doi:10.5285/23a59d77-6f2c-4c48-ac13-77ee7b21fcee"],"resourceType":"Dataset","rightsHolder":["University of Exeter","Corporación COL-TREE"],"ror":["https://ror.org/03yghzc09","https://ror.org/008n7pv89","https://ror.org/059yx9a68","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset compiles leaf-level functional trait measurements collected along a tropical elevational gradient in the Colombian Andes across three common garden plantations with contrasting mean annual temperatures (MAT) (13.7 °C, 22.1 °C, and 25.5 °C). Experimental…","state":"published","title":"Thermoregulation and thermotolerance traits in montane tree species in common garden plantations in the Colombian Andes, 2024","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Birmingham","University of Bristol","Lancaster University","Bristol University","University of Ulm","Exeter University"],"authorFamilyName":["Ullah","Reay","Pihlblad","Sgouridis","Hamilton","Sayer","Hartley"],"authorFullName":["Ullah, S.","Reay, M.K.","Pihlblad, J.","Sgouridis, F.","Hamilton, L.","Sayer, E.J.","Hartley, I.P."],"authorGivenName":["S.","M.K.","J.","F.","L.","E.J.","I.P."],"authorOrcid":["0000-0002-9153-8847","0000-0001-6335-1690","0000-0002-6679-4750","0000-0001-5925-154X","0000-0002-3322-4487","0000-0002-9183-6617"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set was generated at the University of Birmingham Free Air CO2 Enrichment (BIFoR-FACE) facility where the responses of nutrient transformation processes, litter decomposition, mycorrhizal biomass and turnover and enzyme functions, root exudation rates, root nitrogen uptake rates and preferences were evaluated during the 4th to 6th years of CO2 fumigation (2020-2022) The first hypothesis tested was that trees under elevated CO2 will allocate more carbon belowground (via exudation and symbiotic mycorrhizal fungi) for nutrient acquisition. The second hypothesis tested was the enhanced C allocation belowground will prime microbes for nutrient mineralisation via extracellular enzyme functions to meet enhanced nutrient demands.  The third hypothesis tested was that trees would take more nitrogen and that the order preference for different available nitrogen forms is amino acids, ammonium, and nitrate.\n\nCoupled with this hypothesis the experimental work included both field and laboratory characterisation of selected variables and their responses to CO2 enrichment including gross N mineralisation, litter decomposition, extracullular enzyme activities, mycorrhizal (arubuscular and ectomycorhizae) characterisation, hyphael turnover, root C and N exudation and root uptake rates and preferences. The data on these variables is provided in CSV files together with metadata files detailing the experimental, analytical and quality control aspects of the data collection, curation and finalisation.  These variables were assessed during the fourth to the sixth year of CO2 enrichment at BIFoR-FACE, thus creating a key data for the early responses of CO2 fumigation. Since BIFoR_FACE will continue the experiment into 2030s, thus this data provides the early responses in a long-term experiment of its kind in the UK and in northern temperate environments in the world.","documentType":"GEMINI_DOCUMENT","familyName":["Ullah","Reay","Pihlblad","Sgouridis","Hamilton","Sayer","Hartley"],"fullName":["Ullah, S.","Reay, M.K.","Pihlblad, J.","Sgouridis, F.","Hamilton, L.","Sayer, E.J.","Hartley, I.P."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.K.","J.","F.","L.","E.J.","I.P.","Sami"],"grant":["NE/T000449/1"],"identifier":"a05b9519-f0c8-48ef-a9c6-43d0326f590f","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","Forest FACE","Elevated Atmospheric CO2","forests nutrient cycling","root exudation","root uptake preferences","forest soils enzyme functions","mature oaks","nitrogen mineralization","nutrient cycling"],"keywordsOther":["Forest FACE","Elevated Atmospheric CO2","forests nutrient cycling","root exudation","root uptake preferences","forest soils enzyme functions","mature oaks","nitrogen mineralization","nutrient cycling"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"The data was generated following the experimental set-up in 2020 at the BIFoR-FACE site. Field data and sampling continued from the summer of 2020 till the end of 2022. Throughout the data generation and curation processes, quality control and quality assurance protocols were followed and applied after, the data files were finalised. The data also contain soil physicochemical properties data of relevance to the tested hypotheses.","locations":["POLYGON((-2.283 52.784, -2.283 52.799, -2.227 52.799, -2.227 52.784, -2.283 52.784))"],"metadataDate":"2026-07-25T13:16:04.000Z","orcid":["0000-0002-9153-8847","0000-0001-6335-1690","0000-0002-6679-4750","0000-0001-5925-154X","0000-0002-3322-4487","0000-0002-9183-6617"],"organisation":["University of Birmingham","University of Bristol","Lancaster University","Bristol University","University of Ulm","Exeter University","NERC EDS Environmental Information Data Centre","Birmingham Institute of Forest Research, University of Birmingham"],"publicationDate":"2024-10-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a05b9519-f0c8-48ef-a9c6-43d0326f590f","10.5285/a05b9519-f0c8-48ef-a9c6-43d0326f590f","doi:10.5285/a05b9519-f0c8-48ef-a9c6-43d0326f590f"],"resourceType":"Dataset","rightsHolder":["Birmingham Institute of Forest Research, University of Birmingham"],"ror":["https://ror.org/04xw4m193","https://ror.org/03angcq70"],"shortenedDescription":"The data set was generated at the University of Birmingham Free Air CO2 Enrichment (BIFoR-FACE) facility where the responses of nutrient transformation processes, litter decomposition, mycorrhizal biomass and turnover and enzyme functions, root exudation rates, root…","state":"published","title":"Responses of soil nitrogen mineralization, root exudation, decomposition, mycorrhiza turnover and root uptake preference for N under elevated CO2 enrichment of a mature temperate oak forest, Staffordshire, UK, 2020-2022","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-0394-2998","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid","TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"289805c2-4be7-4fb5-b6ec-1539ed88c43d","incomingCitationCount":2,"keyword":["Great Britain","England","Scotland","Wales","Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of OS tiles NW and HZ. See online supporting documentation for further details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:29:15.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-0394-2998","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399373975762","CEH:EIDC::1399373975762","https://catalogue.ceh.ac.uk/id/289805c2-4be7-4fb5-b6ec-1539ed88c43d","10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d","doi:10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations…","state":"published","supplementalDescription":["R.D. Morton, C. Rowland, C. Wood, L. Meek, C. Marston, G. Smith, R. Wadsworth, I. Simpson. July 2011 CS Technical Report No 11/07: Final Report for LCM2007 - the new UK land cover map. NERC/Centre for Ecology & Hydrology (CEH Project Number NEC03259)."],"title":"Land Cover Map 2007 (1km percentage aggregate class, GB) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Cameron","Levy"],"authorFullName":["Cameron, D.R.","Levy, P.E."],"authorGivenName":["D.R. ","P.E."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset provides UK maps of baseline prior uncertainty (UQ) in fluxes of Greenhouse Gases (GHGs) carbon dioxide, CO2 (2014-15) and methane, CH4 (2015). Spatial maps of these GHG emissions are produced annually in the National Atmospheric Emissions Inventory (NAEI) but it is important to quantify uncertainty in these maps. These uncertainty estimates come from sectoral uncertainty data provided by the NAEI. Here, we propagate the uncertainty in the maps for each of the sectors contributing to the emissions using a Monte Carlo method, in order to quantify the uncertainty in the total emissions spatially.\n\nThe Monte Carlo method employed here uses a novel approach (Nearest Neighbour Gaussian Process) to make calculations computationally affordable.  These estimate the influence on the overall uncertainty of unknown errors in the model structure. Further details of the methodology used here can be found in the supporting documentation included with this data. \n\nIn the near term, this methodology will be used and developed further in the NERC-funded project, DARE-UK (NE/S003614/1), to update UQ in maps of CO2 and CH4 for the UK. For that work and in general, it is useful to have a baseline prior uncertainty quantification against which future UK maps of uncertainty in CO2 and CH4 fluxes can be compared. ","documentType":"GEMINI_DOCUMENT","familyName":["Cameron","Levy"],"fullName":["Cameron, D.R.","Levy, P.E."],"funder":["Natural Environment Research Council"],"givenName":["D.R. ","P.E."],"grant":["NE/R016429/1"],"identifier":"739c65a5-12c0-439b-bbcd-1252a4086e87","incomingCitationCount":0,"keyword":["Climate and climate change","mapping","greenhouse gas","carbon dioxide","methane"],"keywordsOther":["mapping","greenhouse gas","carbon dioxide","methane"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The steps involved in creating this data were as follows:\n1) Maps of emissions of CO2 and CH4 for each sector for years 2014/15 (CO2) 2015 (CH4) and contributing to the total emissions were obtained from the National Atmospheric Emissions Inventory  (NAEI).\n2) Prior uncertainty in the maps for each sector was estimated based on NAEI guidance (https://naei.beis.gov.uk/resources/Sector_Summary_Factsheet_2018-v1.html#5_uncertainties CO2) and (https://uk-air.defra.gov.uk/assets/documents/reports/empire/naei/ipcc/uncertainty/tables.html)\n3) Uncertainty in the maps for each of the sectors were propagated using a Monte Carlo method to quantify the uncertainty in the total emissions spatially. \n\nFull details of the Monte Carlo methodology used can be found in the supporting documentation.\n\nUncertainty maps:\nThere are three maps (5th, 50th and 95th quantiles) for each of CO2 and CH4 representing the baseline prior uncertainty spatially in the emissions.  \n\nDates:\nThe annual maps provided here are for:\n\n  - March 2014 to Feb 2015 (CO2)\n  - Jan 2015 to Dec 2015 (CH4)\n\nUnits: \nThe units of CO2 fluxes in the data submission are micro mol per metre squared per second. The units of CH4 fluxes are nano mol per metre squared per second. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:52:25.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/739c65a5-12c0-439b-bbcd-1252a4086e87","10.5285/739c65a5-12c0-439b-bbcd-1252a4086e87","doi:10.5285/739c65a5-12c0-439b-bbcd-1252a4086e87"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides UK maps of baseline prior uncertainty (UQ) in fluxes of Greenhouse Gases (GHGs) carbon dioxide, CO2 (2014-15) and methane, CH4 (2015). Spatial maps of these GHG emissions are produced annually in the National Atmospheric Emissions Inventory (NAEI)…","state":"published","supplementalName":["Andrew O. Finley, Abhirup Datta, Bruce D. Cook, Douglas C. Morton, Hans E. Andersen & Sudipto Banerjee (2019) Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes, Journal of Computational and Graphical Statistics, 28:2, 401-414,","National Atmospheric Emissions Inventory, \"Sector, gas, and uncertainty summary factsheets - greenhouse gas emissions\".","National Atmospheric Emissions Inventory, \"Treatment of uncertainties for national estimates of greenhouse gas emissions\""],"title":"UK maps representing baseline uncertainty in CO2 and CH4 fluxes","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Public Health Wales"],"authorFamilyName":["Chalmers","Robinson"],"authorFullName":["Chalmers, R.M.","Robinson, G."],"authorGivenName":["R. M.","G."],"authorRor":["https://ror.org/00265c946"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. \n\nSample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples.\n\nThese data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Chalmers","Robinson"],"fullName":["Chalmers, R.M.","Robinson, G."],"funder":["Natural Environment Research Council"],"givenName":["R. M.","G.","Guy"],"grant":["NE/J014818/1"],"identifier":"84242834-dc78-49a6-83cb-951edac65d18","incomingCitationCount":0,"keyword":["DURESS"," Diversity of Upland Rivers for Ecosystem Service Sustainability","Cryptosporidium","Biofilm","fish","mammal","invertebrate"],"keywordsOther":["Cryptosporidium","Biofilm","fish","mammal","invertebrate"],"keywordsProject":["DURESS"," Diversity of Upland Rivers for Ecosystem Service Sustainability"],"licence":"Open government licence","lineage":"Sample preparation methods included a newly developed means of testing whole aquatic invertebrates by grinding them up in Liquid Nitrogen and extracting DNA using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. Nested Image result for PCR (Polymerase chain reaction) PCR targeting Cryptosporidium small subunit rDNA was used to screen the samples for the presence of Cryptosporidium followed by identification of the species using sequencing or species-specific real-time PCRs. Where Cryptosporidium hominis or Cryptosporidium parvum were found, isolates were subtyped by sequencing part of a 60 kilodaltons (kDa) glycoprotein gene. Biota samples were collected by Cardiff University staff and transported to the Cryptosporidium Reference Unit, Swansea for testing. DNA from biofilm samples was extracted at Cardiff University. Invertebrates were pooled up to a maximum of 5 larvae per sample and ground in liquid nitrogen before DNA extracted using the Gentra PureGene DNA extraction kit (Qiagen). Fish gut and gill samples (collected from fish culled for food-web studies) were processed by extracting DNA using the QIAamp DNA Mini kit tissue protocol (Qiagen). Faecal samples from fish, collected by gently massaging the gut just above the anus and mammals, collected from the ground in the riparian zone on ad hoc basis had DNA extracted using QIAamp Fast DNA Stool Mini kit. Samples were screened for any Cryptosporidium DNA using a published nested polymerase chain reaction (PCR) targeting the small subunit rhibosomal DNA (rDNA). The presence of DNA from the two main Cryptosporidium species that cause human cryptosporidiosis (Cryptosporidium parvum and Cryptosporidium hominis) was also screened for using species-specific real-time PCRs targeting the Lib13 and A135 genes. Any C. hominis and C. parvum positive samples were subtyped by sequencing part of the 60kDa glycoprotein gene. The prevalence of Cryptosporidium was very low, which could indicate that the water in these upland rivers is not overly contaminated. However, caution must be taken as no water samples were tested as part of this project and the low prevalence may also be linked to the location of the sampling, the sample sizes, the analytical sensitivity of the testing method and/or the potential for the host species tested to actually carry or be infected by Cryptosporidium species.\n\nResults were entered into Excel spreadsheets and exported to comma separated value files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:37:41.000Z","organisation":["Public Health Wales","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84242834-dc78-49a6-83cb-951edac65d18","10.5285/84242834-dc78-49a6-83cb-951edac65d18","doi:10.5285/84242834-dc78-49a6-83cb-951edac65d18"],"resourceType":"Dataset","rightsHolder":["Public Health Wales"],"ror":["https://ror.org/00265c946","https://ror.org/04xw4m193"],"shortenedDescription":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various…","state":"published","title":"Cryptosporidium in upland water biota, United Kingdom (2012-2015)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Gunn","George","Johnson","Jones","May"],"authorFullName":["Gunn, I.D.M.","George, D.G.","Johnson, D.","Jones, D.H.","May, L."],"authorGivenName":["I.D.M.","D.G.","D.","D.H.","L."],"authorOrcid":["0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises densities of the major crustacean zooplankton taxa collected from Loch Leven, a large shallow lake in the lowlands of Scotland, between 1972-2007. Data are provided as numbers of individuals per litre for each taxa. The data were collected by the Centre for Ecology & Hydrology and its predecessor bodies, as part of the Loch Leven long-term monitoring programme. Methods of collection varied over the period of collection with samples generally collected at fortnightly intervals. There are significant gaps in the dataset during the 1980s when funding for monitoring was limited.","documentType":"GEMINI_DOCUMENT","familyName":["Gunn","George","Johnson","Jones","May"],"fullName":["Gunn, I.D.M.","George, D.G.","Johnson, D.","Jones, D.H.","May, L.","Gunn, I."],"givenName":["I.D.M.","D.G.","D.","D.H.","L.","Iain"],"identifier":"014f1c48-0838-49ca-b059-f084b13f4d5f","incomingCitationCount":1,"keyword":["Loch Leven","Perth & Kinross","Scotland","crustacean zooplankton","taxa","densities"],"keywordsOther":["crustacean zooplankton","taxa","densities"],"keywordsPlace":["Loch Leven","Perth & Kinross","Scotland"],"licence":"Open government licence","lineage":"Densities of major crustacean zooplankton taxa collected from Loch Leven from 1972-2007 by staff at CEH Edinburgh and its predecessor bodies as part of long-term monitoring programme, although there are significant gaps in the dataset during the 1980s when funding for monitoring was limited. Method of collection varied over period of collection. Samples collected during the following periods were analysed:1972-74 by D. Johnson; 1975-1977 by D. G. George, 1978-82 by D. H. Jones and post-1982-2007 by I.D.M. Gunn.","locations":["POLYGON((-3.422 56.174, -3.422 56.223, -3.325 56.223, -3.325 56.174, -3.422 56.174))"],"metadataDate":"2026-07-24T18:51:00.000Z","orcid":["0000-0003-3385-9973"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1435325312692","CEH:EIDC::1435325312692","https://catalogue.ceh.ac.uk/id/014f1c48-0838-49ca-b059-f084b13f4d5f","10.5285/014f1c48-0838-49ca-b059-f084b13f4d5f","doi:10.5285/014f1c48-0838-49ca-b059-f084b13f4d5f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises densities of the major crustacean zooplankton taxa collected from Loch Leven, a large shallow lake in the lowlands of Scotland, between 1972-2007. Data are provided as numbers of individuals per litre for each taxa. The data were collected by the…","state":"published","title":"Crustacean zooplankton data from Loch Leven, 1972-2007","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Norton","Wagner","Wood","Pinder","Brentegani","Hunt","Risser","Dodd"],"authorFullName":["Norton, L.R.","Wagner, M.","Wood, C.M.","Pinder, A.","Brentegani, M.","Hunt, A.","Risser, H.","Dodd, B.A."],"authorGivenName":["L.R.","M.","C.M.","A.","H.","B.A."],"authorOrcid":["0000-0002-0394-2998","0000-0002-9494-6272"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of farm management relating to a single field on each sampled farm.   Data were collected in 2018, from farms across Great Britain belonging to the Pasture Fed Livestock Association (PFLA).  \n\nThe data were collected by the UK Centre of Ecology & Hydrology, during a project funded by the BBSRC, seeking to evidence the impacts of pasture fed livestock approaches on grassland parameters, in particular, sward composition and associated soil qualities.","documentType":"GEMINI_DOCUMENT","familyName":["Norton","Wagner","Wood","Pinder","Brentegani","Hunt","Risser","Dodd"],"fullName":["Norton, L.R.","Wagner, M.","Wood, C.M.","Pinder, A.","Brentegani, M.","Hunt, A.","Risser, H.","Dodd, B.A."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["L.R.","M.","C.M.","A.","H.","B.A."],"identifier":"78ca9a01-107b-4f33-8561-9c3e64db7e02","incomingCitationCount":3,"keyword":["Agriculture","Environmental survey","Biodiversity","Soil","farm","vegetation","soil"],"keywordsOther":["farm","vegetation","soil"],"keywordsTheme":["Agriculture","Environmental survey","Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected by trained members of UKCEH staff, according to standardised protocols in the summer of 2018.  Vegetation and management records were collected on electronic recording devices.  Soil samples were analysed at UKAS Accredited labs at UKCEH Lancaster.  All data were transferred to secure databases at UKCEH Lancaster once collected.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:55:04.000Z","orcid":["0000-0002-0394-2998","0000-0002-9494-6272"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78ca9a01-107b-4f33-8561-9c3e64db7e02","10.5285/78ca9a01-107b-4f33-8561-9c3e64db7e02","doi:10.5285/78ca9a01-107b-4f33-8561-9c3e64db7e02"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of farm management relating to a single field on each sampled farm.   Data were collected in 2018, from farms across Great Britain belonging to the Pasture…","state":"published","title":"Soil metrics and vegetation data from pasture fed livestock farms across Great Britain, 2018","topic":["0/Agriculture/","0/Environmental survey/","0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute"],"authorFamilyName":["Gray","Odee","Perry","Otieno","Kihara","Adienge","Tendwa","Kariuki","Grant","Cavers"],"authorFullName":["Gray, A.","Odee, D.","Perry, A.","Otieno, J.O.","Kihara, J.G.","Adienge, A.","Tendwa, E.M.","Kariuki, J.","Grant, H.","Cavers, S."],"authorGivenName":["A.","D.","J. O.","J. G.","E. M.","J.","H.","S."],"authorOrcid":["0000-0002-6785-0590","0000-0002-7889-7597","0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C.","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Odee","Perry","Otieno","Kihara","Adienge","Tendwa","Kariuki","Grant","Cavers"],"fullName":["Gray, A.","Odee, D.","Perry, A.","Otieno, J.O.","Kihara, J.G.","Adienge, A.","Tendwa, E.M.","Kariuki, J.","Grant, H.","Cavers, S."],"givenName":["A.","D.","J. O.","J. G.","E. M.","J.","H.","S."],"identifier":"9f5d1666-facc-436a-8f83-30e756b1b1c9","incomingCitationCount":0,"keyword":["Kitui","Kibwezi","Plant Traits","Tree Improvement","Sub-Saharan Africa","Melia volkensii","Bamba","Kirumbuta","Kirumbutu","Mukau","Maramarui","Mkowe","agroforestry","plant physiology","tree","leaf"],"keywordsOther":["Plant Traits","Tree Improvement","Sub-Saharan Africa","Melia volkensii","Bamba","Kirumbuta","Kirumbutu","Mukau","Maramarui","Mkowe","agroforestry","plant physiology","tree","leaf"],"keywordsPlace":["Kitui","Kibwezi"],"licence":"Open government licence","lineage":"The data were generated from dried leaves collected and pressed in the field. Leaves were then transported to UKCEH Edinburgh for measurement. All measurements were made in Edinburgh except δ13C which were determined at the UKCEH’s stable isotope laboratory in Lancaster.","locations":["POLYGON((33.706 -5.135, 33.706 5.178, 42.319 5.178, 42.319 -5.135, 33.706 -5.135))"],"metadataDate":"2026-07-25T10:25:59.000Z","orcid":["0000-0002-6785-0590","0000-0002-7889-7597","0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","Kenya Forestry Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f5d1666-facc-436a-8f83-30e756b1b1c9","10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9","doi:10.5285/9f5d1666-facc-436a-8f83-30e756b1b1c9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Leaf trait data for several provenances of Melia volkensii an endemic tree from Kenya planted at two experimental trials in Kibwezi and Kitui. 11 traits are included including those for leaf size and leaf mass, and isotope values for δ13C.","state":"published","title":"Leaf trait data for Melia volkensii Guerke from Kenya 2018-2020","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Keele University","Butterfly Conservation","Rothamsted Research"],"authorFamilyName":["Harrower","Bell","Botham","Fox","Kruger","Roy","Shortall","Isaac"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Botham, M.S.","Fox, R.","Kruger, T.","Roy, D.B.","Shortall, C.R.","Isaac, N.J.B."],"authorGivenName":["C.A.","J.R.","M.S.","R.","T.","D.B.","C.R.","N.J.B."],"authorOrcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-7175-5393","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00340yn33","https://ror.org/05jg03a59","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains annual abundance indices and trends in abundance for 477 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2021. The abundance indices are trends calculated using Generalized Abundance Index (GAI) models. The trends are presented as Annual Growth Rates (AGR), and the total percentage changes over the time series for each species are also provided. The indices and trends include 95% confidence limits estimated via bootstrapping. Abundance indices and trends are presented for the entire network of traps across Britain, Ireland, and the Channel Islands, as well as country level analyses for England, Scotland, and Wales.","documentType":"GEMINI_DOCUMENT","familyName":["Harrower","Bell","Botham","Fox","Kruger","Roy","Shortall","Isaac"],"fullName":["Harrower, C.A.","Bell, J.R.","Botham, M.S.","Fox, R.","Kruger, T.","Roy, D.B.","Shortall, C.R.","Isaac, N.J.B."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["C.A.","J.R.","M.S.","R.","T.","D.B.","C.R.","N.J.B."],"identifier":"75161449-1382-42a4-bb91-58835740cc75","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Britain","Ireland","Channel Islands","Biodiversity","moth","moth trends","abundance","Rothamsted"],"keywordsOther":["moth","moth trends","abundance","Rothamsted"],"keywordsPlace":["England","Scotland","Wales","Britain","Ireland","Channel Islands"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Moth count data from the light traps is submitted to Rothamsted Research where it undergoes some standard QA steps to check for species records are appropriate for the site and time of year. The Rothamsted moth count data was used to produce abundance indices and associated trends using Generalised Abundance Index GAI models. The analysis results were reviewed to exclude results for species showing pronounced issues, i.e. where the indices across a significant proportion of the time series had exceptionally wide confidence intervals and or were based on very sparse data.","locations":["POLYGON((-11.938 48.702, -11.938 62.674, 2.549 62.674, 2.549 48.702, -11.938 48.702))"],"metadataDate":"2026-07-25T06:52:58.000Z","orcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-7175-5393","0000-0002-4869-8052"],"organisation":["UK Centre for Ecology & Hydrology","Keele University","Butterfly Conservation","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75161449-1382-42a4-bb91-58835740cc75","10.5285/75161449-1382-42a4-bb91-58835740cc75","doi:10.5285/75161449-1382-42a4-bb91-58835740cc75"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/00340yn33","https://ror.org/05jg03a59","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains annual abundance indices and trends in abundance for 477 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2021. The abundance indices…","state":"published","title":"Annual abundance indices and trends for moths in Britain and Ireland from the Rothamsted Insect Survey light-trap network, 1968-2021, including country-level results for England, Scotland and Wales","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Stephens","Iwanicka","Duarte","Tang","Crory"],"authorFullName":["Stephens, A.","Iwanicka, A.","Duarte, F.","Tang, S.","Crory, A."],"authorGivenName":["A.","F.","S."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Duarte","Tang","Crory"],"fullName":["Stephens, A.","Iwanicka, A.","Duarte, F.","Tang, S.","Crory, A."],"givenName":["A.","F.","S."],"identifier":"2d0e7fc2-237e-40b9-a10a-16a3993cf8ad","incomingCitationCount":0,"keyword":["Pollution","ALPHA sampler","ammonia"],"keywordsOther":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"This data was produced from samplers collected by UWT and analysed by UK CEH.  Analysis data was processed using the UK CEH AAGA data handling system.","locations":["POLYGON((-6.698 54.822, -6.698 54.836, -6.657 54.836, -6.657 54.822, -6.698 54.822))"],"metadataDate":"2026-07-24T19:33:21.000Z","organisation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad","10.5285/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad","doi:10.5285/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","title":"Ammonia measurements from a passive sampler at Ballynahone Bog field site, Northern Ireland, 2021","topic":["0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated"],"authorFamilyName":["Berenguer","Rossi","Seixas","Barlow"],"authorFullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"authorGivenName":["E.","L. C.","M.M.M.","J."],"authorOrcid":["0000-0001-8157-8792"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of litter in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. ","documentType":"GEMINI_DOCUMENT","familyName":["Berenguer","Rossi","Seixas","Barlow"],"fullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","L. C.","M.M.M.","J.","Erika"],"identifier":"d01084b2-c3b1-4187-b2e7-b0827c738855","incomingCitationCount":0,"keyword":["Brazilian Amazon","Forest ecology","Litterfall","Forest fire"],"keywordsOther":["Brazilian Amazon","Forest ecology","Litterfall","Forest fire"],"licence":"Open government licence","lineage":"We sampled litter in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.  \n\nSix litterfall traps (50 x 50 cm; 0.25 m2) were installed in each plot, spaced 50 m apart. Traps were placed 1.20 m above the ground. Trap contents at each site were collected every two weeks. All samples were taken to the field lab and separated into six parts – leaves, flowers, fruits, seeds, wood, and rest (i.e. non-identifiable parts). Samples were then oven-dried at 80oC for 3 days before being and weighed to the nearest 0.01 g. \n","locations":["POLYGON((-55.011 -3.286, -55.011 -2.658, -54.449 -2.658, -54.449 -3.286, -55.011 -3.286))"],"metadataDate":"2026-07-25T14:17:02.000Z","orcid":["0000-0001-8157-8792"],"organisation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d01084b2-c3b1-4187-b2e7-b0827c738855","10.5285/d01084b2-c3b1-4187-b2e7-b0827c738855","doi:10.5285/d01084b2-c3b1-4187-b2e7-b0827c738855"],"resourceType":"Dataset","ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of litter in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests,…","state":"published","title":"Litterfall production in human-modified forests of Eastern Amazonia","version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"Standardised Precipitation Evapotranspiration Index (SPEI) data for different levels of Integrated Hydrological Units (IHU). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente-Serrano et al. [2]. SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The datasets cover the period from 1961 to 2012. \n[1] Vicente-Serrano, S. M., Beguería, S., & López-Moreno, J. I. (2010). A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. Journal of Climate, 23(7), 1696–1718.. https://doi.org/10.1175/2009JCLI2909.1","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy"],"fullName":["Tanguy, M."],"givenName":["Maliko"],"identifier":"fe7b9338-5418-486b-ac15-af2926a4f272","incomingCitationCount":0,"keyword":["SPEI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes","climatic water balance"],"keywordsOther":["SPEI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes","climatic water balance"],"licence":"Non-Open government licence","lineage":"Lineage of children datasets explained in their metadata records","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T18:12:10.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe7b9338-5418-486b-ac15-af2926a4f272"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Evapotranspiration Index (SPEI) data for different levels of Integrated Hydrological Units (IHU). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation…","state":"published","supplementalName":["CEH droughts portal"],"title":"Standardised Precipitation Evapotranspiration Index time series for Integrated Hydrological Units (1961-2012) ","version":1.0,"view":["public","malngu","nuri"]},{"authorAffiliation":["Queen's University Belfast","Institute for Animal Science","University of California, Los Angeles","Czech University of Life Sciences","Queen’s University Belfast"],"authorFamilyName":["Mortlock","Esattore","Bartoš","Lyamin","Ježek","Capellini"],"authorFullName":["Mortlock, E.","Esattore, B.","Bartoš, L.","Lyamin, O.","Ježek, M.","Capellini, I."],"authorGivenName":["E.","B.","L.","O.","M.","I."],"authorOrcid":["0000-0002-1434-7107","0000-0003-1024-794X","0000-0003-2667-5930","0000-0003-2049-0943","0000-0002-4127-9947","0000-0001-8065-2436"],"authorRor":["https://ror.org/00strmv13","https://ror.org/046rm7j60","https://ror.org/0415vcw02"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer recorders at 20Hz.\n\nThis data was collected from 18 adult individuals; 13 male, 5 female, in 2023 over three deployments. Deployment 1 (males) 13/06/23 – 1/8/23; deployment 2 (males) 04/09/23 – 08/11/23; deployment 3 (females) 13/11/23 – 21/11/23. Deer were housed at the VUZV facility, Uhrineves, Prague, Czech Republic.\n\nThis dataset was funded by NERC, as part of project “NE/X010368/1: Sleep in the landscape of fear” and was measured to aid in the creation of a classification model to detect sleep in red deer from collar accelerometers, as well as to test arousal thresholds in sleeping deer.\n","documentType":"GEMINI_DOCUMENT","familyName":["Mortlock","Esattore","Bartoš","Lyamin","Ježek","Capellini"],"fullName":["Mortlock, E.","Esattore, B.","Bartoš, L.","Lyamin, O.","Ježek, M.","Capellini, I."],"funder":["Natural Environment Research Council"],"givenName":["E.","B.","L.","O.","M.","I."],"grant":["NE/X010368/1"],"identifier":"e7fdf789-e663-4422-92c2-ea8019b3cc26","incomingCitationCount":0,"keyword":["Animal behaviour","biologging","deer","red deer","animal behaviour","accelerometery","Cervus elaphus"],"keywordsOther":["biologging","deer","red deer","animal behaviour","accelerometery","Cervus elaphus"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Biologgers were calibrated immediately prior to deployment. Deer were manipulated in a standard farm handling crush and were not immobilised for deployment. Biologgers were recovered in the same manner.\n\nData was downloaded directly from the Daily Diary logger units and stored in raw format. Data has been transformed into .txt format for reusability across different software. No other processing has taken place, other than screening for device failures, which have been removed from the dataset. \n","locations":["POLYGON((14.595 50.032, 14.595 50.043, 14.606 50.043, 14.606 50.032, 14.595 50.032))"],"metadataDate":"2026-07-25T14:51:03.000Z","orcid":["0000-0002-1434-7107","0000-0003-1024-794X","0000-0003-2667-5930","0000-0003-2049-0943","0000-0002-4127-9947","0000-0001-8065-2436"],"organisation":["Queen's University Belfast","Institute for Animal Science","University of California, Los Angeles","Czech University of Life Sciences","Queen’s University Belfast","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e7fdf789-e663-4422-92c2-ea8019b3cc26","10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26","doi:10.5285/e7fdf789-e663-4422-92c2-ea8019b3cc26"],"resourceType":"Dataset","rightsHolder":["Queen's University Belfast"],"ror":["https://ror.org/00strmv13","https://ror.org/046rm7j60","https://ror.org/0415vcw02","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biologging data of captive red deer Cervus elaphus, to study sleep behaviour. This includes acceleration (m/s2), magnetometer (gauss), and temperature (degrees Celsius) measurements, collected using collar-mounted accelerometer and magnetometer…","state":"published","title":"Biologging data of captive red deer, Prague, Czechia, June-November 2023","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","jashun"]},{"altTitle":["Effects of scale in organic agriculture - ecology data, 2006-2010"],"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel","Comma-separated values (CSV)"],"description":"This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type (arable cereal vs. permanent pasture), (iii) farm management (organic vs. conventional) and (iv) landscape-scale management (landscapes that contained low or high fractions of organic land) on a wide range of taxa. Studied taxa include birds, insect pollinators (hoverflies, bumblebees and solitary bees), epigeal arthropods, aphids and their natural enemies, earthworms and plants. The study is part of the NERC Rural Economy and Land Use (RELU) programme. A move to organic farming can have significant effects on wildlife, soil and water quality, as well as changing the ways in which food is supplied, the economics of farm business and indeed the attitudes of farmers themselves. Two key questions were addressed in the SCALE project: what causes organic farms to be arranged in clusters at local, regional and national scales, rather than be spread more evenly throughout the landscape; and how do the ecological, hydrological, socio-economic and cultural impacts of organic farming vary due to neighbourhood effects at a variety of scales. The research was undertaken in 2006-2007 in two study sites: one in the English Midlands, and one in southern England. Both are sites in which organic farming has a 'strong' local presence, which we defined as 10 per cent or more organically managed land within a 10 km radius. Potential organic farms were identified through membership lists of organic farmers provided by two certification bodies (the Soil Association and the Organic Farmers and Growers). Most who were currently farming (i.e. their listing was not out of date) agreed to participate. Conventional farms were identified through telephone listings. Respondents' farms ranged in size from 40 to 3000 acres, with the majority farming between 100 and 1000 acres. Most were mixed crop-livestock farmers, with dairy most common in the southern site, and beef and/or sheep mixed with arable in the Midlands. In total, 48 farms were studied, of which 21 were organic farmers. No respondent had converted from organic to conventional production, whereas 17 had converted from conventional to organic farming. Twelve of the conventional farmers defined themselves as practicing low input agriculture. Farmer interview data from this study are available at the UK Data Archive under study number 6761.  Soil data from agricultural land under differing crop and management regimes,are also available.  Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Gabriel","Benton","Kunin","Stagl","Sait","Van Den Eynden"],"fullName":["Gabriel, D.","Benton, T.","Kunin, B.","Stagl, S.","Sait, S.","Van Den Eynden, V."],"funder":["Economic and Social Research Council"],"givenName":["Doreen","Tim","Bill","Sigrid","Steve","Veerle"],"identifier":"010bcde5-e4f3-4b48-a2f4-53cdc9083c02","incomingCitationCount":0,"keyword":["farmland birds","pollinators","hoverflies","bumblebees","solitary wild bees","epigeal arthropods","aphids","natuaral enemies","earthworms","farmland plants","2006-2010","Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme","insect"],"keywordsOther":["insect"],"keywordsTheme":["farmland birds","pollinators","hoverflies","bumblebees","solitary wild bees","epigeal arthropods","aphids","natuaral enemies","earthworms","farmland plants","2006-2010","Effects of Scale in Organic Agriculture","Rural Economy and Land Use Programme"],"licence":"Non-Open government licence","lineage":"Botanical inventory and soil analyses on 42 selected case study farms with biodiverse grassland types: 12 lamb farms, 15 beef farms, 12 cheese farms, 3 control farms. Three grassland communities (mesotrophic, acid and calcareous) were so selected, represented by saltmarsh, moorland and heather for sheep farming; acid, calcareous and wet-neutral grasslands for beef farming; and circumneutral for on-farm cheese production. These were located using existing vegetation maps and surveys. For the botanical survey plant species were identified and their frequency recorded, as well as site and vegetation description, soil profile, soil depth, slope, aspect, stand area, sample area, mean height of layers of vegetation, altitude and geology. The data recorded on species cover and the calculated frequency class was then used to assign the assessed stand of vegetation to a published community or sub-community. For soil analyses 100 g soil samples were taken for each site to determine: ? sodium, potassium, calcium and magnesium in soil by ICP-AES ? phosphate-phosphorus in soil by colorimetry ? pH in soil and water. Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0006","locations":["POLYGON((-2.99 50.57, -2.99 53.85, 0.14 53.85, 0.14 50.57, -2.99 50.57))"],"metadataDate":"2026-07-24T18:50:50.000Z","organisation":["University of Leeds","University of Sussex","UK Data Archive","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1310549740505","CEH:EIDC::1310549740505","https://catalogue.ceh.ac.uk/id/010bcde5-e4f3-4b48-a2f4-53cdc9083c02"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/00ayhx656","https://ror.org/03fknw408","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ecology data from 16 paired field sites; each pair consisting of an organic and conventional farm. A multiscale sampling design was employed to assess the impact of (i) location-within-field (field margin vs. edge vs. centre), (ii) crop type…","state":"published","supplementalDescription":["Gabriel, D., Sait, S.M., Hodgson, J.A., Schmutz, U., Kunin, W.E. and Benton, T.G. 2010. Scale matters: the impact of organic farming on biodiversity at different spatial scales. Ecology Letters 13: 858-869."],"supplementalName":["RELU Knowledge Portal project page","ESDS catalogue record"],"title":"Flora and fauna data from agricultural land under differing crop and management regimes, 2006-2010 - RELU Effects of scale in organic agriculture","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Lancaster University"],"authorFamilyName":["Chappell","Beven","Smith","Hankin"],"authorFullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"authorGivenName":["Nick A.","K.J.","P.","B."],"authorOrcid":["0000-0001-6683-951X","0000-0001-7465-3934","0000-0002-0034-3412","0000-0001-7315-3321"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge River Kent measured at the Environment Agency (EA) Sedgwick gauging station (https://nrfa.ceh.ac.uk/data/station/info/73005) through the 1 Oct 2015 to 17 Jan 2016 period were modelled using the latest version of Lancaster University’s Dynamic TOPMODEL (https://cran.r-project.org/web//packages/dynatop/index.html). \n\nThe spatially distributed rainfall field used as input to TOPMODEL was derived from a new direction-dependent and topographically controlled interpolation using observed rainfall data for the Cumbrian Mountains (Page et al., 2022. Hydrological Processes 36: e14758, https://doi.org/10.1002/hyp.14758). \n\nLack of perfect understanding of the hydrological processes routing rainfall for stream channels and then along stream channels to the Sedgwick gauge was represented by using a very wide range of model parameters applied randomly within 10,000 simulations. Using the approach detailed in Beven et al. (2022a. Hydrological Processes 36(10): e14703, https://doi.org/10.1002/hyp.14703), the resultant wide range of simulated discharge time-series was reduced by rejecting all but 67 simulations that passed the prescribed criteria. These 67 baseline simulations of observed behaviour through the +3 month period at Sedgwick are presented here.\n\nTo represent the effect of adding surface storage distributed across this 209 sq km River Kent catchment, the Digital Elevation Model (DEM) used in the baseline simulations according to Hankin et al (2018. Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk) to represent bunds placed on hillslopes in rural areas. The bunds are a type of flood mitigation measure known as Natural Flood Management or NFM. These are known formally as ‘Enhanced Hillslope Storage’ or EHS features (Beven et al 2022b. Hydrological Processes 36: e14752, https://doi.org/10.1002/hyp.14752). The TOPMODEL parameter sets producing the 67 ‘acceptable’ baseline simulations were then re-run with the modified DEM. These results are also presented here.\n","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Beven","Smith","Hankin"],"fullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"funder":["Natural Environment Research Council"],"givenName":["Nick A.","K.J.","P.","B.","Nick A"],"grant":["NE/R004722/1"],"identifier":"af081a90-b014-43f7-9399-c948a8b7672f","incomingCitationCount":0,"keyword":["River Kent","Cumbria","Hydrology","Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management (NFM)","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"keywordsOther":["Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management (NFM)","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["River Kent","Cumbria"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The simulations were performed with the latest version of Lancaster University’s distributed catchment model called ‘Dynamic TOPMODEL’. Version 0.2.1 and this is publicly available at: \nhttps://cran.r-project.org/web//packages/dynatop/index.html \n\nDynamic TOPMODEL was used to assess change in flood peaks associated with Natural Flood Management (NFM) by refining the baseline results according to a Condition Tree Approach, where the first step is the choice of model, in this case Dynamic TOPMODEL. \n\nThe second step is establishing a prior range of model parameters (see Table 1 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). \n\nThe third step is the initial sampling strategy of Monte Carlo sampling of prior parameter distributions assuming independent uniform distributions. This gave 100,000 simulated river discharge datasets for the before (baseline) and post-intervention (Enhanced Hillslope Storage) simulations. \n\nThe fourth step was to apply the Limits of Acceptability criteria determined from 2.5 to 97.5 quantiles of distributions of runoff coefficients from past events. These were applied to ranked hydrograph time steps for period in 2015 (Table 1 in Beven et al., 2022b, https://doi.org/10.1002/hyp.14703) including the largest flood on record, with additional timing constraint of ± 2 h. This gave 3249 surviving river discharge datasets for each scenario. \n\nThe fifth step was to undertake additional evaluation of flood peaks, where Limits of acceptability approach was applied ranked hydrograph time steps in 2005 and 2009 (as set out in Table 2 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). This gave 118 surviving river discharge datasets for each scenario. \n\nLastly, step six, the valuation of areas producing saturation excess overland flow was applied. Here simulations producing less than 10% of the area with surface storage greater than 1 mm at any time step additionally rejected. This gave 67 surviving river discharge datasets for each scenario. These 67 results are those presented in this shared dataset.\n\nFor the NFM scenario, the location of the Enhanced Hillslope Storage features across the modelled River Kent catchment was based on the publically available WwNP (Working with Natural Processes) dataset (Hankin et al., 2018 Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk). For the simulations presented in this NFM-scenario dataset, each bund feature was modelled with a residence time of 10 hours.\n","locations":["POLYGON((-3.168 54.038, -3.168 54.456, -2.642 54.456, -2.642 54.038, -3.168 54.038))"],"metadataDate":"2026-07-25T13:24:09.000Z","orcid":["0000-0001-6683-951X","0000-0001-7465-3934","0000-0002-0034-3412","0000-0001-7315-3321"],"organisation":["Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af081a90-b014-43f7-9399-c948a8b7672f","10.5285/af081a90-b014-43f7-9399-c948a8b7672f","doi:10.5285/af081a90-b014-43f7-9399-c948a8b7672f"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge…","state":"published","title":"Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Cooper","Cumming","Evans","Oakley","McNamara","Pywell","Scarlett"],"authorFullName":["Morrison, R.","Cooper, H.M.","Cumming, A.M.J.","Evans, C.","Oakley, S.","McNamara, N.P.","Pywell, R.","Scarlett, P."],"authorGivenName":["R. ","H.M. ","A.M.J.","C.","S.","N.P.","R.","P."],"authorOrcid":["0000-0002-1847-3127","0000-0002-1382-3407","0000-0001-5704-9006","0000-0002-7052-354X","0000-0002-5757-7420","0000-0002-5143-5819","0000-0001-6431-9959","0000-0001-6242-8158"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics observations made at each site.\nEddy covariance (EC) and micrometeorological observations were collected using open-path eddy covariance systems. Flux, meteorological and soil physics observations were collected and processed using harmonised protocols across all sites. \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.\n","documentType":"GEMINI_DOCUMENT","familyName":["Morrison","Cooper","Cumming","Evans","Oakley","McNamara","Pywell","Scarlett"],"fullName":["Morrison, R.","Cooper, H.M.","Cumming, A.M.J.","Evans, C.","Oakley, S.","McNamara, N.P.","Pywell, R.","Scarlett, P."],"funder":["Natural Environment Research Council"],"givenName":["R. ","H.M. ","A.M.J.","C.","S.","N.P.","R.","P.","Ross"],"grant":["NE/R016429/1"],"identifier":"0254620f-9cf1-4d5b-af3f-bd8a6af95e96","incomingCitationCount":0,"keyword":["Soil","Environmental survey","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Turbulent flux densities were calculated from the raw EC data using the EddyPRO Flux Calculation Software Version 6.1. Quality Control of EC data involved removal of statistical outliers and statistical tests to remove data of poor technical quality. Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach. \n\nFurther details are available in the supporting documentation.\n","locations":["POLYGON((-1.42 50.699, -1.42 52.24, 1.45 52.24, 1.45 50.699, -1.42 50.699))"],"metadataDate":"2026-07-24T18:52:15.000Z","orcid":["0000-0002-1847-3127","0000-0002-1382-3407","0000-0001-5704-9006","0000-0002-7052-354X","0000-0002-5757-7420","0000-0002-5143-5819","0000-0001-6431-9959","0000-0001-6242-8158"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0254620f-9cf1-4d5b-af3f-bd8a6af95e96","10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96","doi:10.5285/0254620f-9cf1-4d5b-af3f-bd8a6af95e96"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of sensible heat (H) and latent heat (LE) and momentum (τ) measured at UKCEH eddy covariance flux observation sites during summer 2019. The dataset includes ancillary weather and soil physics…","state":"published","title":"Subset of turbulent energy fluxes, meteorology and soil physics observations collected at eddy covariance sites in southeast England, June 2019","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}