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The other services – recreation, carbon storage, biomass for fuelwood and forage production – come as seven tiff- maps at a 1-km2 resolution with associated world files for each tiff-map contains 43,200 x 18,600 pixels for one ensemble approach, with LZW compressed file sizes between 400MB and 950MB. For all maps, 600dpi jpg depictions are added to the supporting information with uniform colour scaling set for the median ensemble per service. \n\nEnsemble output maps were calculated with different approaches following the supporting documentation and associated publication. 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, with additional funding from ES/R009279/1 (MobilES) & ES/T007877/1 (RUST).","documentType":"GEMINI_DOCUMENT","familyName":["Hooftman","Bullock","Neugarten","Chaplin-Kramer","Willcock"],"fullName":["Hooftman, D.A.P.","Bullock, J.M.","Neugarten, R.A.","Chaplin-Kramer, R.","Willcock, S."],"funder":["Natural Environment Research Council","Economic and Social Research Council"],"givenName":["D.A.P.","J.M.","R.A. ","R.","S."],"grant":["NE/T00391X/1","ES/R009279/1","ES/T007877/1"],"identifier":"bd940dad-9bf4-40d9-891b-161f3dfe8e86","incomingCitationCount":0,"keyword":["Carbon stocks","Ensemble modelling","Fuelwood","Global maps","Weighted averaging","natural capital","recreation","water supply","livestock","ecosystem services","sustainable development"],"keywordsOther":["Carbon stocks","Ensemble modelling","Fuelwood","Global maps","Weighted averaging","natural capital","recreation","water supply","livestock","ecosystem services","sustainable development"],"licence":"Open government licence","lineage":"The ensembles, their approach methodology, and their validations are currently in revision after review in Science Advances as Willcock et al. (2023): Model Ensembles of Ecosystem Services Fill Global Certainty and Capacity Gaps. Relevant Matlab and Python codes can be found at https://github.com/GlobalEnsembles   \n\nGlobal among model ensembles for recreation, carbon storage, and biomass for fuelwood and forage production are provided as 1-km2 gridcells; water supply ensembles are provided per catchment polygons associated to the 15,289 worldwide HydroSHEDS catchment definitions (https://www.hydrosheds.org/). Model data included outputs from among others: InVEST, ARIES, WaterWorld, Co$ting Nature, LPJ-GUESS, TEEB, Scholes, Aqueduct, FAO livestock distributions, and a wide variety of biomass models such as from ESA CCI Biomass Climate Change Initiative, GEOCARBON global forest biomass and Global Forest Watch. 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. \n\nEnsembles approaches include: unweighted (mean and median) approaches and weighted averaging with weights determined following multiple methods according to Hooftman et al. (2022): the deterministic correlation coefficient among models, the first principal component among models and weights iterated as regression to the median and leave-one-out cross validation. 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((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T12:59:58.000Z","orcid":["0000-0001-9835-6897","0000-0003-0529-4020","0000-0003-0647-0516","0000-0002-1539-5231","0000-0001-6704-3548"],"organisation":["Lactuca: Environmental Data Analyses and Modelling","UK Centre for Ecology & Hydrology","Cornell University","Natural Capital Project","Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd940dad-9bf4-40d9-891b-161f3dfe8e86","10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86","doi:10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/006jb1a24"],"shortenedDescription":"This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural…","state":"published","title":"Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Zambia","The University of Edinburgh"],"authorFamilyName":["Simuunza","Anderson","Machila","Ndebe","Macleod","Welburn"],"authorFullName":["Simuunza, M.","Anderson, N.E.","Machila, N.","Ndebe, J.","Macleod, E.T.","Welburn, S.C."],"authorGivenName":["M.","N.E","N.","J. ","E.T.","S.C."],"authorOrcid":["0000-0001-6621-7470","0000-0001-7192-7717","0000-0002-1149-6166","0000-0002-3070-8830","0000-0002-9903-7086"],"authorRor":["https://ror.org/03gh19d69"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals.\n\nThis work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA).\n","documentType":"GEMINI_DOCUMENT","familyName":["Simuunza","Anderson","Machila","Ndebe","Macleod","Welburn"],"fullName":["Simuunza, M.","Anderson, N.E.","Machila, N.","Ndebe, J.","Macleod, E.T.","Welburn, S.C."],"funder":["Natural Environment Research Council"],"givenName":["M.","N.E","N.","J. ","E.T.","S.C."],"grant":["NE/J000701/1"],"identifier":"a55eea77-8401-49ba-921e-53e085dc8345","incomingCitationCount":0,"keyword":["Zambia","Luangwa Valley","Dynamic Drivers of Disease in Africa Consortium (DDDAC)","Glossina morsitans morsitans","Sodalis glossinidius"],"keywordsOther":["Glossina morsitans morsitans","Sodalis glossinidius"],"keywordsPlace":["Zambia","Luangwa Valley"],"keywordsProject":["Dynamic Drivers of Disease in Africa Consortium (DDDAC)"],"licence":"Open government licence","lineage":"Tsetse surveys were conducted in May / June 2013 and November 2013. Tsetse flies were sampled using black screen fly rounds. Data were recorded on standard field sampling forms and then manually transferred to Microsoft Excel. Data were then checked for accuracy and incorrect spatial location coordinates removed.\nTsetse flies were homogenized and DNA extracted. The resulting DNA was stored at minus 20 degrees Celsius until needed for Polymerase chain reaction (PCR). PCR analysis was performed using different primers to detect the different species of trypanosomes in the DNA. All PCR included a negative and a positive control. \nTo determine the sources of blood meal (feeding patterns), tsetse DNA samples were subjected to PCR targeting the cytochrome oxidase b gene. The resulting PCR product was sequenced, and the sequences compared with those available in public databases by using nucleotide BLAST at NCBI website (http://blast.ncbi.nlm.nih.gov/Blast.cgi) to determine the animal species on which tsetse fed on. Data were collated in a Microsoft Excel spreadsheet and exported as a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).\n","locations":["POLYGON((31.826 -13.828, 31.826 -13.248, 32.094 -13.248, 32.094 -13.828, 31.826 -13.828))"],"metadataDate":"2026-09-02T13:39:54.000Z","orcid":["0000-0001-6621-7470","0000-0001-7192-7717","0000-0002-1149-6166","0000-0002-3070-8830","0000-0002-9903-7086"],"organisation":["University of Zambia","The University of Edinburgh","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a55eea77-8401-49ba-921e-53e085dc8345","10.5285/a55eea77-8401-49ba-921e-53e085dc8345","doi:10.5285/a55eea77-8401-49ba-921e-53e085dc8345"],"resourceType":"Dataset","ror":["https://ror.org/03gh19d69","https://ror.org/04xw4m193"],"shortenedDescription":"This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley…","state":"published","title":"Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Stirling","Earlham Institute","Laboratoire de Géologie de l’École Normale Supérieure","Scottish Universities Environmental Research Centre, University of Glasgow","Colorado State University","Agence Nationale des Parcs Nationaux (ANPN), Gabon"],"authorFamilyName":["Carmona","Messer","Abernethy","Abiven","Ascough","Blaikie","Cotrufo","Evouna Ondo","Jeffery","Lebrun Thauront","Subke"],"authorFullName":["Carmona, C.R.","Messer, L.","Abernethy, K.","Abiven, S.","Ascough, P.","Blaikie, P.","Cotrufo, M.F.","Evouna Ondo, F.","Jeffery, K.","Lebrun Thauront, J.","Subke, J."],"authorGivenName":["Carmen Rosa","Lauren","Katherine","Samuel","Philippa","Pauline","M. Francesca","Fidèle","Kathryn","Johanne","Jens-Arne"],"authorOrcid":["0000-0002-4927-7663","0000-0002-8335-2807","0000-0002-0393-9342","0000-0002-5663-0912","0000-0001-6529-2903","0000-0002-1447-9484","0000-0002-6191-8953","0000-0002-6563-6240","0000-0002-2632-0008","0000-0002-7248-0723"],"authorRor":["https://ror.org/045wgfr59","https://ror.org/018cxtf62","https://ror.org/05vg9cw43","https://ror.org/03k1gpj17"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set reports the %carbon, %nitrogen, texture, organic matter, size fractions, pyrogenic carbon, 14C, d13C, pH, bulk density throughout soil profiles in tropical savannah soils under contrasting burn frequencies. Samples were collected in 7 spatial blocks within the Lopé National Park, Gabon (0.156-0.192°S, 11.574-11.635°E) during two field campaigns in 2022 and 2023, respectively. Within each block, there were two savannahs with either frequent (annual) fire recurrence, or low fire recurrence (no more than 1 fire in past 20 years). \n\nData were collected to understand abundance and distribution of pyrogenic carbon in frequently burned savannah soils. \n\nThe work was supported by the Natural Environment Research Council (Grant NE/T008040/1).","documentType":"GEMINI_DOCUMENT","familyName":["Carmona","Messer","Abernethy","Abiven","Ascough","Blaikie","Cotrufo","Evouna Ondo","Jeffery","Lebrun Thauront","Subke"],"fullName":["Carmona, C.R.","Messer, L.","Abernethy, K.","Abiven, S.","Ascough, P.","Blaikie, P.","Cotrufo, M.F.","Evouna Ondo, F.","Jeffery, K.","Lebrun Thauront, J.","Subke, J."],"funder":["Natural Environment Research Council"],"givenName":["Carmen Rosa","Lauren","Katherine","Samuel","Philippa","Pauline","M. Francesca","Fidèle","Kathryn","Johanne","Jens-Arne","J."],"grant":["NE/T008040/1"],"identifier":"594c137a-e55a-47e3-8a4d-ef11fdc2d2fc","incomingCitationCount":0,"keyword":["Soil","Land cover","organic carbon","organic nitrogen","grass fire","soil profile","slope","grassland","tropical ecosystem"],"keywordsOther":["organic carbon","organic nitrogen","grass fire","soil profile","slope","grassland","tropical ecosystem"],"keywordsTheme":["Soil","Land cover"],"licence":"Non-Open government licence","lineage":"Sampling regime\nSamples were collected in 7 spatial blocks within the Lopé National Park, Gabon (0.156-0.192°S, 11.574-11.635°E) during two field campaigns in 2022 and 2023, respectively. Within each block, there were two savannahs with either frequent (annual) fire recurrence, or low fire recurrence (no more than 1 fire in past 20 years). Within each savannah, complete soil profiles were collected at three slope positions: Summit, Backslope, or Toeslope. At each of these slope positions, three profiles (spaced 10 m from each other) were collected with depth increments of 0-5 cm, 5-15 cm, 15-30 cm, 30-50 cm, 50-75 cm, and 75-100 cm. Samples from the three profiles were combined to give a composite sample for each fire frequency, slope position and depth. Data gaps exist where soil profiles could not be collected to 1 m depth owing to more shallow soil depth.\n\nSample processing\nSamples were collected using a 5-cm diameter, 30 cm long corer (AMS soil corer). Intact cores were retrieved, separated by depth increment in the field, and transported to the research station in Lopé National Park in zip-lock plastic bags. The fresh weight was determined either on the day of sampling or the following day, and samples were stored in a ventilated place in open plastic bags to partially dry. All samples were sieved to 2 mm at the research station in a partially dried state. Stones and roots that did not pass the 2-mm sieve were removed and their mass recorded. Sub-samples of stones and all root material were collected to determine root dry mass and stone density for correction of total C stocks and bulk density. Complete soil samples for depth up to 50 cm, and representative sub-samples (around 50%) of larger deeper soil samples were transported under import licence to Stirling in zip-locked bags. In Stirling, all samples were oven dried (60°C, 48 hours) and re-weighed. Small subsamples (obtained by use of sample splitters to avoid inadvertent bias) were pulverised in a ball mill.\n\nAnalysis\nC and N content (by mass) determined by elemental analysis (Flash SMART, ThermoFisher Scientific, Germany). Elemental analyser: %C and %N were calibrated against three standards of known concentrations. All data reported are deemed high quality based on application of calibration and consistency within location sites and across sampling depths. A total of 15 data gaps result from insufficient soil depth at 9 out of 42 locations.","locations":["POLYGON((11.574 -0.192, 11.574 -0.156, 11.635 -0.156, 11.635 -0.192, 11.574 -0.192))"],"metadataDate":"2026-07-24T23:07:27.000Z","orcid":["0000-0002-4927-7663","0000-0002-8335-2807","0000-0002-0393-9342","0000-0002-5663-0912","0000-0001-6529-2903","0000-0002-1447-9484","0000-0002-6191-8953","0000-0002-6563-6240","0000-0002-2632-0008","0000-0002-7248-0723"],"organisation":["University of Stirling","Earlham Institute","Laboratoire de Géologie de l’École Normale Supérieure","Scottish Universities Environmental Research Centre, University of Glasgow","Colorado State University","Agence Nationale des Parcs Nationaux (ANPN), Gabon","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/594c137a-e55a-47e3-8a4d-ef11fdc2d2fc","10.5285/594c137a-e55a-47e3-8a4d-ef11fdc2d2fc","doi:10.5285/594c137a-e55a-47e3-8a4d-ef11fdc2d2fc"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/018cxtf62","https://ror.org/05vg9cw43","https://ror.org/03k1gpj17","https://ror.org/04xw4m193"],"shortenedDescription":"The data set reports the %carbon, %nitrogen, texture, organic matter, size fractions, pyrogenic carbon, 14C, d13C, pH, bulk density throughout soil profiles in tropical savannah soils under contrasting burn frequencies. Samples were collected in 7 spatial blocks within…","state":"published","title":"Soil physicochemical properties for profiles of up to 1 m from savannah soils, Lopé National Park, Gabon, 2022-2023","topic":["0/Soil/","0/Land cover/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Leeds","Smithsonian Tropical Research Institute","University of Edinburgh"],"authorFamilyName":["Nottingham","Montero-Sanchez","Slot","Szczygieł","Velasquez","Meir"],"authorFullName":["Nottingham, A.","Montero-Sanchez, M.","Slot, M.","Szczygieł, H.A.","Velasquez, E.","Meir, P."],"authorGivenName":["A.","M.","H.A.","E.","P."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively.","documentType":"GEMINI_DOCUMENT","familyName":["Nottingham","Montero-Sanchez","Slot","Szczygieł","Velasquez","Meir"],"fullName":["Nottingham, A.","Montero-Sanchez, M.","Slot, M.","Szczygieł, H.A.","Velasquez, E.","Meir, P."],"funder":["Natural Environment Research Council"],"givenName":["A.","M.","H.A.","E.","P."],"grant":["NE/T012226/1"],"identifier":"3a4aabba-e790-4ac3-b845-936790768330","incomingCitationCount":0,"keyword":["plant-soil interactions","soil warming","seedling growth","climate change","soil","tropical forest","nitrogen fixation","Inga laurina","Lacmellea panamensis","Protium pittieri","Virola surinamensis","Ormosia macrocalyx","Tachigali versicolor"],"keywordsOther":["plant-soil interactions","soil warming","seedling growth","climate change","soil","tropical forest","nitrogen fixation","Inga laurina","Lacmellea panamensis","Protium pittieri","Virola surinamensis","Ormosia macrocalyx","Tachigali versicolor"],"licence":"Open government licence","lineage":"Data were collected over the period 2016-2019, with seedling census each 3-months and soil parameters determined monthly.\n\nSeedling height was determined by measuring from the soil surface to the shoot apex (apical meristem), using a tape measure. Light was determined by PPFD (Photosynthetic Photon Flux Density; µmol m-2 s-1), measured using a LI-250A light meter (LI-COR, Inc., Lincoln, NE, USA). PPFD was determined monthly above each individual seedling, both on an overcast day and a clear day for each month, providing two metrics of PPFD representing the average conditions on both an overcast and clear day. Light saturated photosynthesis (Asat) was determined using a portable photosynthetic system (LI-6400, LI-COR, Inc., Lincoln, NE, USA) fitted with a standard 2 × 3 cm leaf cuvette with a red-blue LED light source (6400-02B)) and a CO2 mixer (6400-01, LI-COR, Inc., Lincoln, NE, USA).\n\nTo assess whether soil warming affected nutrient availability to plants, we determined soil nitrogen (N) and phosphorus (P) mineralisation using in situ mixed-bed ion exchange resin membranes (Dowex Marathon Mr-3, Sigma-Aldrich). Resin was prepared by rinsing in 0.5 M HCl for 2 hours and then rinsed with DI H2O. Resin was placed inside nylon bags (5 g resin in each) and installed at 5 cm soil depth in systematically distributed locations in each plot (n = 5 per plot). Resin bags were deployed monthly for three years, and following collection were stored at 4oC until extraction. Extraction was performed using 0.5 M HCl, and PO4, NH4 and NO3, were determined using a Lachat Quickchem 8500 flow injection analyzer (Hach Co., Loveland, CO). Extractable PO4 (total mineralised P) and NH4 and NO3 (total mineralized N) were calculated from the difference between extracted N from resin deployed in the field and resin not deployed (blanks) and expressed as extractable PO4-P, NH4‐N and NO3‐N per g resin per day.\n\nWe determined relative growth rates (RGR) using a first order power-law model, which is especially suitable for the early stages of seedling growth when growth is rapid and non-asymptotic, but slowing over time:\ndh / dt = tβ\nwhere dh/dt is height increment over time (or RGR). To represent time in our models we used ‘relative month’ where the warming treatment began at relative month = 0. To calculate the power of the relationship (β), we used log-log plots. We determined RGR for each individual seedling (n = 30, 6 individuals per 5 plots; and for 6 species), by calculating the slope of log [seedling height]/log [time in months]. We used the power rate increase β to assess treatment effects on RGR.\n\nAll data were subject to quality control review prior to statistical analyses in R, by assessing outliers, to ensure correct identification of seedlings and correct use of blanks/standards for determination of final values.\n","locations":["POLYGON((-79.871 9.13, -79.871 9.182, -79.818 9.182, -79.818 9.13, -79.871 9.13))"],"metadataDate":"2026-07-24T20:39:24.000Z","organisation":["University of Leeds","Smithsonian Tropical Research Institute","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3a4aabba-e790-4ac3-b845-936790768330","10.5285/3a4aabba-e790-4ac3-b845-936790768330","doi:10.5285/3a4aabba-e790-4ac3-b845-936790768330"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil…","state":"published","title":"Seedling growth responses to experimental soil warming in a tropical forest, Panama, 2016-2022","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorOrcid":["0000-0003-4912-5026","0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin, cefalexin and tetracycline with detection of resistant strains presented in the dataset as a binary result. Farm-level antibiotic usage data is also given.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V. C."],"identifier":"7c3ad803-fbd4-45c3-826b-fa04c902ded8","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":" This dataset is a subset of the \"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019\" dataset (https://catalogue.ceh.ac.uk/documents/c9bc537a-d1c5-43a0-b146-42c25d4e8160) and comprises of 1. Records of samples taken from 37 farms including date, eartag numbers of animals in the immediate environment, sample type and descriptive location. 2. Records of microbiological analyses of the samples to identify those containing E. coli resistant to amoxicillin, cephalexin and/or tetracycline.  3. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T06:57:32.000Z","orcid":["0000-0003-4912-5026","0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c3ad803-fbd4-45c3-826b-fa04c902ded8","10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8","doi:10.5285/7c3ad803-fbd4-45c3-826b-fa04c902ded8"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset represents a cohort of heifers followed from birth to 18 months or first pregnancy on 37 farms in the South West of England. Faecally-contaminated environmental samples were collected over 2 years and the samples analysed for E. coli resistance to amoxicillin,…","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for individual heifers on 37 dairy farms, South West England, 2018","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS)","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University"],"authorFamilyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"authorFullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"authorGivenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"authorOrcid":["0000-0003-3265-1505","0000-0001-9538-3208","0000-0002-6975-5984","0000-0002-2474-6558","0000-0001-5370-4894"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. \n\nThe yield loss calculations were done as part of the NERC funded SUNRISE project and National Capability Project NC-Air quality impacts on food security, ecosystems and health.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"fullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"funder":["Natural Environment Research Council"],"givenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"grant":["NE/R000131/1"],"identifier":"2a932995-f040-4724-ad21-3e92ae8a2540","incomingCitationCount":1,"keyword":["SUNRISE","Agriculture","Environmental risk","Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsOther":["Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsProject":["SUNRISE"],"keywordsTheme":["Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"A 1 degree by 1 degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1 degree by 1 degree grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss.\n\nEach grid cell was classed as either irrigated (greater than 75 percent irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climatic zone. For each hemisphere/climatic zone combination, a 90-day growing period was set, based on the main growing season per year for each crop.\n\nThe EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre‐West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate-specific growing period for the cell, and an average value calculated for the period 2010-2012.\n\nYield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First, a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period.\n\nThe equation used to calculate percentage yield loss was as follows:\n     percentage Yield Loss = (POD3IAM – 0.1) * 0.64                                                                         \nwhere 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM.\n\nFor maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. \n\nPercentage yield loss values were added to the 1 degree by 1 degree grid and saved as GIS shapefiles, one per crop for ingestion into the EIDC.\n\nAn evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T19:30:55.000Z","orcid":["0000-0003-3265-1505","0000-0001-9538-3208","0000-0002-6975-5984","0000-0002-2474-6558","0000-0001-5370-4894"],"organisation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS)","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a932995-f040-4724-ad21-3e92ae8a2540","10.5285/2a932995-f040-4724-ad21-3e92ae8a2540","doi:10.5285/2a932995-f040-4724-ad21-3e92ae8a2540"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"shortenedDescription":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are…","state":"published","supplementalDescription":["Mills, G., Sharps, K., Simpson, D., Pleijel, H., Broberg, M., Uddling, J., … Van Dingenen, R. (2018). Ozone pollution will compromise efforts to increase global wheat production. Global Change Biology, 24(8), 3560–3574.\n\n","Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., & Wind, P. (2012). The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12(16), 7825–7865. "],"supplementalName":["Report","SUNRISE website","EMEP website"],"title":"Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2","topic":["0/Agriculture/","0/Environmental risk/"],"version":2.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Dobel","Gunn","Olszewska","May"],"authorFullName":["Taylor, P.J.","Dobel, A.","Gunn, I.D.M.","Olszewska, J.P.","May, L."],"authorGivenName":["P.J.","A.","I.D.M.","J.P.","L."],"authorOrcid":["0000-0003-1663-9426","0000-0002-1473-5097","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2019. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring programme, which began in 1968 and is still underway. Sampling occurs roughly every 2 weeks with laboratory analysis and data processing being performed at the UK Centre for Ecology & Hydrology Edinburgh site. The sampling and processing 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":["Taylor","Dobel","Gunn","Olszewska","May"],"fullName":["Taylor, P.J.","Dobel, A.","Gunn, I.D.M.","Olszewska, J.P.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["P.J.","A.","I.D.M.","J.P.","L."],"grant":["NE/R016429/1"],"identifier":"e404f64c-ddbc-4e3e-8dca-9bea3d68959a","incomingCitationCount":0,"keyword":["Lakes","Water quality","Water chemistry","Crustacean zooplankton","Taxa","Loch Leven","Scotland","UK","UK-SCAPE"],"keywordsOther":["Lakes","Water quality","Water chemistry","Crustacean zooplankton","Taxa","Loch Leven","Scotland","UK","UK-SCAPE"],"licence":"Open government licence","lineage":"This dataset comprises sampled data from Loch Leven using a boat. Samples were collected and processed in a laboratory in Edinburgh. These data were then input into a database and put through a quality assurance process.\n\nAll these stages are explained in detail in the associated metadata document.","locations":["POLYGON((-3.424 56.171, -3.424 56.224, -3.319 56.224, -3.319 56.171, -3.424 56.171))"],"metadataDate":"2026-07-25T14:48:48.000Z","orcid":["0000-0003-1663-9426","0000-0002-1473-5097","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e404f64c-ddbc-4e3e-8dca-9bea3d68959a","10.5285/e404f64c-ddbc-4e3e-8dca-9bea3d68959a","doi:10.5285/e404f64c-ddbc-4e3e-8dca-9bea3d68959a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains weather conditions, water quality, water chemistry and crustacean zooplankton counts sampled at Loch Leven throughout the year 2019. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of a long-term monitoring…","state":"published","title":"Loch Leven monitoring data (water quality, chemistry, crustacean zooplankton), 2019","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.\n\nThe 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"0808d05b-f6da-4e76-a145-48d45a109707","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Biodiversity Action Plan"],"keywordsOther":["Biodiversity Action Plan"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.\n\nThe 1 km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.","locations":["POLYGON((-8.481 50.064, -8.481 60.861, 1.768 60.861, 1.768 50.064, -8.481 50.064))"],"metadataDate":"2026-07-24T18:57:00.000Z","orcid":["0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0808d05b-f6da-4e76-a145-48d45a109707","10.5285/0808d05b-f6da-4e76-a145-48d45a109707","doi:10.5285/0808d05b-f6da-4e76-a145-48d45a109707"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action…","state":"published","title":"Land Cover Map 2022 (1km summary rasters, GB and N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Reading","Forest Research"],"authorFamilyName":["Quaife","Wilkinson","Stretton"],"authorFullName":["Quaife, T.","Wilkinson, M.","Stretton, M."],"authorGivenName":["T.","M."],"authorOrcid":["0000-0001-6896-4613","0000-0002-1444-5735"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about photosynthesis and gas exchange from tree species in Alice Holt Forest, Hampshire, UK. Data were collected between 18th-20th July 2023, alongside other observations examining the forest canopy structure and photosynthesis. Leaves were sampled across one hazel tree within the understory, and two oak trees. Data from the oak trees were collected with height, using a 12 m tower (six 2 m platforms), with leaves sampled across three platforms. The photosynthesis parameters were collected using a Handy PEA+ continuous excitation chlorophyll fluorimeter and gas exchange data were collected using a LI-COR 6400.\n\nThis research was funded by UKRI NERC as part of the SPLICE project (NE/W006596/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Quaife","Wilkinson","Stretton"],"fullName":["Quaife, T.","Wilkinson, M.","Stretton, M."],"givenName":["T.","M."],"identifier":"40365cee-fda6-402f-9839-c206463dbe7d","incomingCitationCount":0,"keyword":["Alice Holt Forest","Environmental survey","Gas exchange","Photosynthesis","Ecophysiology"],"keywordsOther":["Gas exchange","Photosynthesis","Ecophysiology"],"keywordsPlace":["Alice Holt Forest"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Samples were taken from a tower set up within the forest, between two oak trees, with six platforms at two metre intervals. Each overhanging oak branch was split into leaf clusters, with leaves sampled. The hazel understory was also sampled in the same manner. All labelled leaves were not sampled as some were taken down by the wind between marking and data collection.\n\nPhotosynthetic parameters are collected directly from the Handy PEA+ continuous excitation chlorophyll fluorimeter with no processing applied.\n\nTest measurements were taken with the LI-COR 6400 on the 18th, with data collected for leaves across two of the platforms on the 19th and 20th July 2023. Instrument files were copied into .csv files, which were then split per sample.\n","locations":["POLYGON((-0.901 51.131, -0.901 51.225, -0.751 51.225, -0.751 51.131, -0.901 51.131))"],"metadataDate":"2026-07-24T21:14:12.000Z","orcid":["0000-0001-6896-4613","0000-0002-1444-5735"],"organisation":["University of Reading","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40365cee-fda6-402f-9839-c206463dbe7d","10.5285/40365cee-fda6-402f-9839-c206463dbe7d","doi:10.5285/40365cee-fda6-402f-9839-c206463dbe7d"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about photosynthesis and gas exchange from tree species in Alice Holt Forest, Hampshire, UK. Data were collected between 18th-20th July 2023, alongside other observations examining the forest canopy structure and photosynthesis. Leaves…","state":"published","title":"Eco-physiological responses in oak and hazel, Alice Holt Forest, Hampshire, UK, July 2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Staffordshire","British Trust for Ornithology","Unaffiliated"],"authorFamilyName":["Monkman","Swetnam","Lucas","Aramendi","Bowgen","Burden","Cid Rodriguez","Emmett","Garai Aginagalde","Garbutt","Potter","Reinsch","Richardson-Jones","Siriwardena","Stokes","Taylor","Williams","Wood","Beath","Betts","Clews","Davies","Dawson","Douglas","Duckham","Ellson","Hunter","Jenks","Knight","Lowe","Macgregor","Perry","Roberts","Smith","Squires","Vaughan"],"authorFullName":["Monkman, G.","Swetnam, R.","Lucas, J.R.","Aramendi, P.","Bowgen, K.","Burden, A.","Cid Rodriguez, X.","Emmett, B.A.","Garai Aginagalde, A.","Garbutt, A.","Potter, E.","Reinsch, S.","Richardson-Jones, V.","Siriwardena, G.","Stokes, J.","Taylor, R.M.","Williams, B.","Wood, C.M.","Beath, A.","Betts, N.","Clews, B.","Davies, S.","Dawson, R.","Douglas, N.","Duckham, M.","Ellson, M.","Hunter, E.","Jenks, P.","Knight, T.","Lowe, A.","Lucas, A.","Macgregor, C.","Perry, C.","Roberts, M.","Smith, A.","Squires, R.","Vaughan, D."],"authorGivenName":["G.","R.","J.R.","P.","K.","A.","X.","B.A.","E.","S.","V.","J.","R.M.","B.","C.M.","N.","M.","T.","C.","D."],"authorOrcid":["0000-0002-5645-1834","0000-0002-5199-9622","0000-0001-5346-0228","0009-0004-2480-6380","0000-0002-2414-8021","0000-0002-7694-1638","0009-0008-1559-0417","0000-0002-2713-4389","0000-0002-9145-9786","0000-0002-3815-7965","0000-0003-4649-0677","0000-0003-2010-1186","0009-0006-7559-0094","0000-0003-3365-3908","0000-0002-0394-2998","0000-0001-8281-8284"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00d6k8y35","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of records of condition of Public Rights of Way (PROWs), collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2025 and the Glastir Monitoring and Evaluation Programme (GMEP) field survey between 2013-2016. Data includes lengths of surveyed PROWs and their condition. \nERAMMP NFS is a resurvey of the 300 locations from the initial GMEP monitoring program (300 1km squares) on a rolling annual basis between 2021 and 2025. A subset of those 300 squares were resurveyed for PROWs. Between 2021-2025 ERAMMP National Field Survey resurveyed 181 squares for PROWs. \nThe initial monitoring program, GMEP, was set up by the Welsh Government in 2013 to report national trends and monitor the effects of the Glastir agri-environment scheme on the environment. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Monkman","Swetnam","Lucas","Aramendi","Bowgen","Burden","Cid Rodriguez","Emmett","Garai Aginagalde","Garbutt","Potter","Reinsch","Richardson-Jones","Siriwardena","Stokes","Taylor","Williams","Wood","Beath","Betts","Clews","Davies","Dawson","Douglas","Duckham","Ellson","Hunter","Jenks","Knight","Lowe","Macgregor","Perry","Roberts","Smith","Squires","Vaughan"],"fullName":["Monkman, G.","Swetnam, R.","Lucas, J.R.","Aramendi, P.","Bowgen, K.","Burden, A.","Cid Rodriguez, X.","Emmett, B.A.","Garai Aginagalde, A.","Garbutt, A.","Potter, E.","Reinsch, S.","Richardson-Jones, V.","Siriwardena, G.","Stokes, J.","Taylor, R.M.","Williams, B.","Wood, C.M.","Beath, A.","Betts, N.","Clews, B.","Davies, S.","Dawson, R.","Douglas, N.","Duckham, M.","Ellson, M.","Hunter, E.","Jenks, P.","Knight, T.","Lowe, A.","Lucas, A.","Macgregor, C.","Perry, C.","Roberts, M.","Smith, A.","Squires, R.","Vaughan, D."],"funder":["Welsh Government"],"givenName":["G.","R.","J.R.","P.","K.","A.","X.","B.A.","E.","S.","V.","J.","R.M.","B.","C.M.","N.","M.","T.","C.","D."," J.R."],"identifier":"ea7244cb-2c56-42f2-8832-c0d1cf9e0758","incomingCitationCount":0,"keyword":["Environmental survey","Public Rights of Way","Environment and Rural Affairs Monitoring & Modelling Programme","ERAMMP","Wales"],"keywordsOther":["Public Rights of Way","Environment and Rural Affairs Monitoring & Modelling Programme","ERAMMP","Wales"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"During ERAMMP and GMEP National Field Surveys, whilst carrying out bird surveys, trained, professional surveyors walked a route that passed within 50m of all parts of the survey square to which access had been secured. Where this route used or intersected a section of Public Right of Way (PROW), the condition of the section was recorded using standardised protocols. Data were recorded on standard field maps and sent to British Trust for Ornithology (BTO) for digital inputting, during which the digitizer checked the data with the surveyor if necessary. Data on PROW condition were aggregated by survey square.\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-25T14:51:58.000Z","orcid":["0000-0002-5645-1834","0000-0002-5199-9622","0000-0001-5346-0228","0009-0004-2480-6380","0000-0002-2414-8021","0000-0002-7694-1638","0009-0008-1559-0417","0000-0002-2713-4389","0000-0002-9145-9786","0000-0002-3815-7965","0000-0003-4649-0677","0000-0003-2010-1186","0009-0006-7559-0094","0000-0003-3365-3908","0000-0002-0394-2998","0000-0001-8281-8284"],"organisation":["UK Centre for Ecology & Hydrology","University of Staffordshire","British Trust for Ornithology","Unaffiliated","NERC EDS Environmental Information Data Centre","Welsh Government"],"publicationDate":"2026-03-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea7244cb-2c56-42f2-8832-c0d1cf9e0758","10.5285/ea7244cb-2c56-42f2-8832-c0d1cf9e0758","doi:10.5285/ea7244cb-2c56-42f2-8832-c0d1cf9e0758"],"resourceType":"Dataset","rightsHolder":["Welsh Government"],"ror":["https://ror.org/00pggkr55","https://ror.org/00d6k8y35","https://ror.org/03w54w620","https://ror.org/04xw4m193","https://ror.org/000wh6t45"],"shortenedDescription":"This data set consists of records of condition of Public Rights of Way (PROWs), collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) National Field Survey (NFS) between 2021-2025 and the Glastir Monitoring and Evaluation Programme…","state":"published","title":"Public Rights of Way from the Environment and Rural Affairs Monitoring & Modelling Programme, Wales, 2021-2025 and the Glastir Monitoring and Evaluation Programme, Wales, 2013-2016","topic":["0/Environmental survey/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated","Penny Anderson","National Trust for Scotland","British Geological Survey","Agricultural Development Advisory Service (United Kingdom)","Severn Rivers Trust"],"authorFamilyName":["Reinsch","Bentley","Brentegani","Carter","Dhiedt","Ebuele","Emmett","Hunt","Keenan","Keith","Lebron","Lucas","Monkman","Pereira","Richardson-Jones","Rowe","Salisbury","Tandy","Wood","Ardeshir","Biddle","Boffey","Ceallaigh","Cope","Fothergill","Friend","Handley","Higgins","Horninge","Moir","O'Neil","Savage","Scott","Shepherd","Ward","Winder","Robinson"],"authorFullName":["Reinsch, S.","Bentley, L.","Brentegani, M.","Carter, H.","Dhiedt, E.","Ebuele, V.","Emmett, B.A.","Hunt, A.","Keenan, P.","Keith, A.","Lebron, I.","Lucas, J.R.","Monkman, G.","Pereira, M.G.","Richardson-Jones, V.","Rowe, R.","Salisbury, E.","Tandy, S.","Wood, C.M.","Ardeshir, D.","Biddle, A.","Boffey, C.","Ceallaigh, C.","Cope, S.","Fothergill, C.","Friend, R.","Handley, J.","Handley, T.","Higgins, A.","Horninge, L.","Moir, A.","O'Neil, A.","Savage, C.","Scott, H.","Shepherd, S.","Ward, T.","Jan Winder","Jon Winder","Robinson, D.A."],"authorGivenName":["S.","L.","M.","H.","E.","V.","B.A.","A.","P.","I.","J.R.","G.","M.G.","R.","C.M.","D.","C.","J","T.","D.A."],"authorOrcid":["0000-0003-4649-0677","0000-0001-5055-7673","0000-0003-2575-6800","0000-0001-9410-1109","0000-0002-2713-4389","0000-0001-9619-1320","0000-0001-8610-9717","0000-0001-5346-0228","0000-0002-5645-1834","0000-0003-3740-0019","0000-0002-7554-821X","0000-0003-0662-0991","0000-0002-0394-2998","0000-0003-3591-1034","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/057stj941","https://ror.org/04a7gbp98","https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes a range of physico-chemical properties measured from topsoil (0-15 cm) within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) between 2021 and 2023. The properties included are: soil organic matter (loss on ignition (LOI)), derived carbon concentration, total soil organic carbon (SOC), nitrogen, total soil phosphorous, Olsen-phosphorous (within improved land only), pH, electrical conductivity, soil bulk density of fine earth, fine earth volumetric water content, gravimetric water content, and soil group.\nERAMMP is a resurvey of the 300 locations from the initial monitoring program (300 1km squares) on a rolling annual basis, with the aim to resurvey all sites between 2021 and 2025. Between 2021-2023, ERAMMP resurveyed 224 of those 300 were resurveyed for soil monitoring.  The GMEP project was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales and was managed by the UK Centre for Ecology & Hydrology (UKCEH). ","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Bentley","Brentegani","Carter","Dhiedt","Ebuele","Emmett","Hunt","Keenan","Keith","Lebron","Lucas","Monkman","Pereira","Richardson-Jones","Rowe","Salisbury","Tandy","Wood","Ardeshir","Biddle","Boffey","Ceallaigh","Cope","Fothergill","Friend","Handley","Higgins","Horninge","Moir","O'Neil","Savage","Scott","Shepherd","Ward","Winder","Robinson"],"fullName":["Reinsch, S.","Bentley, L.","Brentegani, M.","Carter, H.","Dhiedt, E.","Ebuele, V.","Emmett, B.A.","Hunt, A.","Keenan, P.","Keith, A.","Lebron, I.","Lucas, J.R.","Monkman, G.","Pereira, M.G.","Richardson-Jones, V.","Rowe, R.","Salisbury, E.","Tandy, S.","Wood, C.M.","Ardeshir, D.","Biddle, A.","Boffey, C.","Ceallaigh, C.","Cope, S.","Fothergill, C.","Friend, R.","Handley, J.","Handley, T.","Higgins, A.","Horninge, L.","Moir, A.","O'Neil, A.","Savage, C.","Scott, H.","Shepherd, S.","Ward, T.","Jan Winder","Jon Winder","Robinson, D.A."],"funder":["Welsh Government"],"givenName":["S.","L.","M.","H.","E.","V.","B.A.","A.","P.","I.","J.R.","G.","M.G.","R.","C.M.","D.","C.","J","T.","D.A."],"identifier":"deabe608-fc6e-4d3a-812f-fb08ae515121","incomingCitationCount":0,"keyword":["Wales","Agriculture","Biodiversity","derived carbon concentration","electrical conductivity","environmental survey"," fine earth volumetric water content","Olsen phosphorus"," SOC","soil","soil bulk density of fine earth","nitrogen","organic matter","pH","organic carbon"],"keywordsOther":["derived carbon concentration","electrical conductivity","environmental survey"," fine earth volumetric water content","Olsen phosphorus"," SOC","soil","soil bulk density of fine earth","nitrogen","organic matter","pH","organic carbon"],"keywordsPlace":["Wales"],"keywordsTheme":["Agriculture","Biodiversity"],"licence":"Open government licence","lineage":"Within each of 224 x 1-km locations, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). The soil sample analysed for soil metrics was taken using a black plastic core ('C-core'), 15 cm long, from a location co-incident with vegetation surveys. \n \nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UKCEH sites in Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-09-10T11:26:20.000Z","orcid":["0000-0003-4649-0677","0000-0001-5055-7673","0000-0003-2575-6800","0000-0001-9410-1109","0000-0002-2713-4389","0000-0001-9619-1320","0000-0001-8610-9717","0000-0001-5346-0228","0000-0002-5645-1834","0000-0003-3740-0019","0000-0002-7554-821X","0000-0003-0662-0991","0000-0002-0394-2998","0000-0003-3591-1034","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","Penny Anderson","National Trust for Scotland","British Geological Survey","Agricultural Development Advisory Service (United Kingdom)","Severn Rivers Trust","NERC EDS Environmental Information Data Centre","Welsh Government"],"publicationDate":"2025-07-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/deabe608-fc6e-4d3a-812f-fb08ae515121","10.5285/deabe608-fc6e-4d3a-812f-fb08ae515121","doi:10.5285/deabe608-fc6e-4d3a-812f-fb08ae515121"],"resourceType":"Dataset","rightsHolder":["Welsh Government"],"ror":["https://ror.org/00pggkr55","https://ror.org/057stj941","https://ror.org/04a7gbp98","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes a range of physico-chemical properties measured from topsoil (0-15 cm) within a wide range of land use types across Wales, collected as part of the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP) between 2021 and 2023. The…","state":"published","title":"Topsoil physico-chemical properties from the Environment and Rural Affairs Monitoring & Modelling Programme, Wales, 2021-2023","topic":["0/Agriculture/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Leeds","Centre for Ecology & Hydrology"],"authorFamilyName":["O'Connor","Jones","Carvell","Peyton","Vanbergen","Andrews","Kunin"],"authorFullName":["O'Connor, R.S.","Jones, C.M.","Carvell, C.","Peyton, J.M.","Vanbergen, A.J.","Andrews, C.","Kunin, W.E."],"authorGivenName":["R.S.","C.M.","C.","J.M.","A.J.","W.E."],"authorOrcid":["0000-0001-8320-5535"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains data on pollinating insects, floral resources, and environmental conditions from a pollinator monitoring pilot conducted from 2015. Data were collected from a total of 14 sites across the UK, over four sampling rounds from April to August 2015. Half of the sites visited were dominated by agricultural habitats (e.g. crop fields and pasture) and half were dominated by semi-natural habitats. These data were collected to compare methods for sampling pollinators; compare the capacity of different recorder groups to implement different survey methods; gather feedback from recorders on the survey methods; and generate detailed information on implementation costs and support requirements for each method. Three different types of recorder groups were trialled (researcher, consultant, volunteer) using different combinations of sampling methods (pan trapping, fixed transects pollinator survey, fixed transects flower survey, timed focal flower observations, standardised \"free search\" pollinator survey).","documentType":"GEMINI_DOCUMENT","familyName":["O'Connor","Jones","Carvell","Peyton","Vanbergen","Andrews","Kunin"],"fullName":["O'Connor, R.S.","Jones, C.M.","Carvell, C.","Peyton, J.M.","Vanbergen, A.J.","Andrews, C.","Kunin, W.E."],"givenName":["R.S.","C.M.","C.","J.M.","A.J.","W.E."],"identifier":"69a0d888-9f6b-4e67-8d29-402af1412d8e","incomingCitationCount":0,"keyword":["Pollinators","National Pollinator and Pollination Monitoring Framework (NPPMF)"],"keywordsOther":["National Pollinator and Pollination Monitoring Framework (NPPMF)"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Recorders were given a detailed written transect protocols to follow and were a mixture of novice data collectors, experienced researchers and consultants with taxonomic . Data are provided as recorded.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:46:51.000Z","orcid":["0000-0001-8320-5535"],"organisation":["University of Leeds","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/69a0d888-9f6b-4e67-8d29-402af1412d8e","10.5285/69a0d888-9f6b-4e67-8d29-402af1412d8e","doi:10.5285/69a0d888-9f6b-4e67-8d29-402af1412d8e"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains data on pollinating insects, floral resources, and environmental conditions from a pollinator monitoring pilot conducted from 2015. Data were collected from a total of 14 sites across the UK, over four sampling rounds from April to August 2015.…","state":"published","title":"Pollinator survey, floral resource survey and recorder feedback data from the National Pollinator and Pollination Monitoring Framework pilot study from 14 sites across the UK","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London"],"authorFamilyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"authorFullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J."],"authorGivenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V."],"authorOrcid":["0000-0002-0883-3440","0000-0002-4607-9901","0000-0002-9765-2907","0000-0002-3058-919X","0000-0001-8077-5452","0000-0002-3176-8130","0000-0002-5999-0307"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains chemical and physical composition of soil for four elevations on Mount Etna. Soil samples were collected in 2017 and 2019 and then analysed for chemical and physical composition by a commercial laboratory in Catania, Sicily. The measurements were conducted as part of a study in to transplanting of two Senecio species on Mount Etna.","documentType":"GEMINI_DOCUMENT","familyName":["Walter","Clark","Cristaudo","Terranova","Nevado","Catara","Paunov","Velikova","Filatov","Cozzolino","Hiscock","Bridle"],"fullName":["Walter, G.M.","Clark, J.","Cristaudo, A.E.","Terranova, D.","Nevado, B.","Catara, S.","Paunov, M.","Velikova, V.","Filatov, D.","Cozzolino, S.","Hiscock, S.","Bridle, J.","Walter, G."],"funder":["Natural Environment Research Council"],"givenName":["G.M.","J.","A.E.","D.","B.","S.","M.","V.","Greg"],"grant":["NE/P001793/1"],"identifier":"3970a138-c035-40ac-bf1d-a2f8a464644a","incomingCitationCount":0,"keyword":["Transplant experiment","plasticity","Mt. Enta","Senecio"],"keywordsOther":["Transplant experiment","plasticity","Mt. Enta","Senecio"],"licence":"Open government licence","lineage":"1kg of soil was taken and stored appropriately (in provided containers) for each of 3 samples at each of the four transplant elevations (500m, 1000m, 1500m, 2000m). Soil was then transported to the Nucleo Chimico Mediterraneo laboratories (Catania, Sicily) where they measured the soil for physical properties (grain sizes), pH, and nutrient, salt and ion contents.","locations":["POLYGON((15.001 37.681, 15.001 37.751, 15.091 37.751, 15.091 37.681, 15.001 37.681))"],"metadataDate":"2026-07-24T20:39:00.000Z","orcid":["0000-0002-0883-3440","0000-0002-4607-9901","0000-0002-9765-2907","0000-0002-3058-919X","0000-0001-8077-5452","0000-0002-3176-8130","0000-0002-5999-0307"],"organisation":["Monash University","University of Bristol","University of Catania","University of Lisbon","Sofia University","Bulgarian Academy of Sciences","University of Oxford","University of Naples","University College London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-03-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3970a138-c035-40ac-bf1d-a2f8a464644a","10.5285/3970a138-c035-40ac-bf1d-a2f8a464644a","doi:10.5285/3970a138-c035-40ac-bf1d-a2f8a464644a"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193","https://ror.org/0524sp257"],"shortenedDescription":"This dataset contains chemical and physical composition of soil for four elevations on Mount Etna. Soil samples were collected in 2017 and 2019 and then analysed for chemical and physical composition by a commercial laboratory in Catania, Sicily. The measurements were…","state":"published","title":"Chemical and physical composition of soil for four elevations on Mount Etna, Sicily, 2017","version":1.0,"view":["public","clwe"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings of the 21 target classes, based on the Joint Nature Conservation Committee (JNCC) Broad Habitats and which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. ","documentType":"GEMINI_DOCUMENT","familyName":["Rowland"],"fullName":["Rowland, C."],"givenName":["C."],"identifier":"05e01504-0505-4846-92e3-991b8c95ad20","incomingCitationCount":0,"keyword":["Land cover","Great Britain","infoMapAccessService"],"keywordsOther":["Great Britain","infoMapAccessService"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-08-12T12:00:59.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-25T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/05e01504-0505-4846-92e3-991b8c95ad20"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings…","state":"published","title":"Land Cover Map 2015 (1km percentage aggregate class, GB) Web Map Service","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-7439-0393","0000-0001-7290-4867","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres) and soil moisture as metre cubed per metre cubed. The data run from 01/07/2015 until 31/08/2016. Data were recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January 2016 data were averaged half hourly. Data are then to averaged to daily values, which are reported here. The dataset has been quality checked, and incorrect or missing values removed, data has not been infilled. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20 to 30 years. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning. Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Data collection, processing and quality checking were carried out by CEH Bangor staff members.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Brooks","Winterbourn","Harvey","Robinson","Emmett"],"fullName":["Reinsch, S.","Brooks, M.R.","Winterbourn, J.B.","Harvey, R.J.","Robinson, D.A.","Emmett, B.A."],"givenName":["S.","M.R.","J.B.","R.J.","D.A.","B.A.","Sabine"],"identifier":"54de61a1-8749-4851-a1c0-c71f9d483c7d","incomingCitationCount":0,"keyword":["Clocaenog","Climate and climate change","heathland","meteorology"],"keywordsOther":["heathland","meteorology"],"keywordsPlace":["Clocaenog"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals. Up to January 2016 the data were then averaged hourly, after January  2016 data were averaged half hourly. The hourly or half hourly data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry.This dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Data were not collected between 9th October 2015 and 3rd November 2015 due to problems with the sensors. Soil and air temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific.  Daily average values were downloaded to csv files for ingestion to the Environmental Information Data Centre.\n\nData were collected from the climate change field site Climoor which is located in the Clocaenog forest, North East Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season. Warming roofs were in operation from 1st April 2014 - 19th November 2015 and were started again on 6th April 2016. Drought roofs were in operation 7th April - 23rd September 2015. The drought roofs were not in operation in 2016.\n","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-09-02T13:49:40.000Z","orcid":["0000-0003-4649-0677","0000-0002-7439-0393","0000-0001-7290-4867","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54de61a1-8749-4851-a1c0-c71f9d483c7d","10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d","doi:10.5285/54de61a1-8749-4851-a1c0-c71f9d483c7d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, North East Wales. The data contain air temperature, (degrees celsius) soil temperature (degrees celsius) at 2 depths (5 and 20 centimetres)…","state":"published","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2015-2016","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Dundee"],"authorFamilyName":["Connolly","Moffat"],"authorFullName":["Connolly, C.N.","Moffat, C."],"authorGivenName":["C.N.","C."],"authorRor":["https://ror.org/03h2bxq36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains a colony performance indicator monitored from Bumblebee colonies of similar mass after 43-48 days in the field. The weight in milligrams (mg) is given of each surviving bee recorded as it was removed from the outside of the nest as we progressed towards the nest core. Bumblebee colonies of similar mass were provided with sugar syrup (UT, n=12), containing chlorpyrifos (CP, 150  nanomolar nM, n=6) imidacloprid (IMD, 10 nM, n= 6) or both (IMD + CP, n=12). No pollen was provided and bees were free to forage in a wilderness/grassland area in the west of Scotland.  The data were collected as part of a project within the UK Insect Pollinators Initiative (2010-2015).","documentType":"GEMINI_DOCUMENT","familyName":["Connolly","Moffat"],"fullName":["Connolly, C.N.","Moffat, C."],"givenName":["C.N.","C."],"identifier":"341414f8-e88a-43e5-ade3-c30623c1586d","incomingCitationCount":0,"keyword":["Wester Ross","Environmental risk","Pollinators","Bumblebee","Bombus terrestris audax"],"keywordsOther":["Bumblebee","Bombus terrestris audax"],"keywordsPlace":["Wester Ross"],"keywordsTheme":["Environmental risk","Pollinators"],"licence":"Open government licence","lineage":"The data was generated as follows: Nests were anaesthetised using carbon dioxide until the bees became slow/immobilised.  The nest was opened and each bee was removed and weighed on a top pan balance before being killed rapidly in ice-cold water containing detergent before full awakening.","locations":["POLYGON((-5.823 57.353, -5.823 57.968, -5.174 57.968, -5.174 57.353, -5.823 57.353))"],"metadataDate":"2026-09-02T13:45:26.000Z","organisation":["University of Dundee","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/341414f8-e88a-43e5-ade3-c30623c1586d","10.5285/341414f8-e88a-43e5-ade3-c30623c1586d","doi:10.5285/341414f8-e88a-43e5-ade3-c30623c1586d"],"resourceType":"Dataset","ror":["https://ror.org/03h2bxq36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a colony performance indicator monitored from Bumblebee colonies of similar mass after 43-48 days in the field. The weight in milligrams (mg) is given of each surviving bee recorded as it was removed from the outside of the nest as we progressed…","state":"published","title":"The number and individual weight of bumblebees (Bombus terrestris audax) from nests containing neonicotinoids in Wester Ross, UK","topic":["0/Environmental risk/","0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of South Florida","University of Glasgow","Cary Institute","University of Sydney","University of New South Wales","Cornell University","Wildlife Health Ecology Research Organization"],"authorFamilyName":["Kramer","Faust","Castellanos","Fischhoff","Peel","Eby","Ruiz-Aravena","Borremans","Plowright","Han"],"authorFullName":["Kramer, A.M.","Faust, C.L.","Castellanos, A.A.","Fischhoff, I.R.","Peel, A.J.","Eby, P.","Ruiz-Aravena, M.","Borremans, B.","Plowright, R.K.","Han, B.A."],"authorGivenName":["A.M.","C.L.","A.A.","I.R.","A.J.","P.","M.","B.","R.K.","B.A."],"authorOrcid":["0000-0002-9031-6580","0000-0002-8824-7424","0000-0002-3412-0487","0000-0001-6956-8284","0000-0003-3538-3550","0000-0001-5441-2682","0000-0001-8463-7858","0000-0002-7779-4107","0000-0002-3338-6590","0000-0002-9948-3078"],"authorRor":["https://ror.org/032db5x82","https://ror.org/00vtgdb53","https://ror.org/01dhcyx48","https://ror.org/0384j8v12","https://ror.org/03r8z3t63","https://ror.org/05bnh6r87"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","rdata"],"description":"The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.\nThe dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596).\nThese data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty.","documentType":"GEMINI_DOCUMENT","familyName":["Kramer","Faust","Castellanos","Fischhoff","Peel","Eby","Ruiz-Aravena","Borremans","Plowright","Han"],"fullName":["Kramer, A.M.","Faust, C.L.","Castellanos, A.A.","Fischhoff, I.R.","Peel, A.J.","Eby, P.","Ruiz-Aravena, M.","Borremans, B.","Plowright, R.K.","Han, B.A."],"funder":["U.S. Defense Advanced Research Projects Agency ","U.S. National Science Foundation EEID program ","Natural Environment Research Council","U.S. National Science Foundation CNH","U.S. National Science Foundation Rules of Life"],"givenName":["A.M.","C.L.","A.A.","I.R.","A.J.","P.","M.","B.","R.K.","B.A."],"grant":["PREEMPT D18AC00031","DEB-1717282","NE/V014730/1","DEB-1716698","EF-2133763","EF-2231624"],"identifier":"93bb37c6-ef86-4386-945d-c1a3d1e2683c","incomingCitationCount":0,"keyword":["Australia","black flying fox","virus","Hendra virus","Pteropus"],"keywordsOther":["black flying fox","virus","Hendra virus","Pteropus"],"keywordsPlace":["Australia"],"licence":"Open government licence","lineage":"Each of the data objects (1,000 per component model) is related to training a component model using data sampled with replacement. These data objects are trained on field observations of host conditions (food shortage, rehabilitation admissions or formation of new roost) or locations and occupation of roost by black flying foxes (key Hendra virus host). Model parameters, predictor variables, and training are all described in the supplementary information. Each iteration only differs slightly in the training and testing data due to this resampling with replacement, allowing for slight variation in prediction among the runs. ","locations":["POLYGON((136.492 -44.335, 136.492 -8.836, 154.334 -8.836, 154.334 -44.335, 136.492 -44.335))"],"metadataDate":"2026-07-25T10:17:50.000Z","orcid":["0000-0002-9031-6580","0000-0002-8824-7424","0000-0002-3412-0487","0000-0001-6956-8284","0000-0003-3538-3550","0000-0001-5441-2682","0000-0001-8463-7858","0000-0002-7779-4107","0000-0002-3338-6590","0000-0002-9948-3078"],"organisation":["University of South Florida","University of Glasgow","Cary Institute","University of Sydney","University of New South Wales","Cornell University","Wildlife Health Ecology Research Organization","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/93bb37c6-ef86-4386-945d-c1a3d1e2683c","10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c","doi:10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/032db5x82","https://ror.org/00vtgdb53","https://ror.org/01dhcyx48","https://ror.org/0384j8v12","https://ror.org/03r8z3t63","https://ror.org/05bnh6r87","https://ror.org/04xw4m193"],"shortenedDescription":"The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.\nThe dataset contains predictions of three proxies for host conditions (including…","state":"published","supplementalDescription":["The environmental features that are used as input data to generate the component models are stored on figshare.","Methods are detailed in the preprint.","The code to generate the component models and run multi-scale models can be found on the github repository."],"supplementalName":["Input data to multi-scale model of Hendra virus dynamics","Integrating predictors of host condition into spatiotemporal multi-scale models of virus shedding"," BatOneHealth github repository"],"title":"Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Henrys","Keith","Robinson","Emmett"],"authorFullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"authorGivenName":["P.A.","A.M.","D.A.","B.A."],"authorOrcid":["0000-0003-4758-1482","0000-0001-9619-1320","0000-0001-7290-4867","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Topsoil microbe data - Bacteria. Data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores, Shannon diversity index and Simpson diversity index. Over 1000 samples from 233 1km x 1km squares across Great Britain were sampled in 2007 and analysed. See Emmett et al. 2010 for further details of sampling and Griffiths et al. 2011 for further details of methods. Estimates of mean values within selected habitats and parent material characteristics across GB were made using Countryside Survey (CS) data from 2007 using a mixed model approach. 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). Please see Scott, 2008 for further details of similar statistical analysis. Areas, 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.\n\nReferences: \nEmmett, B.A., Frogbrook, Z.L., Chamberlain P.M., Griffiths R., Pickup R., Poskitt, J., Reynolds B., Rowe E., Rowland P., Spurgeon D., Wilson J., Wood, C.M. (2008).  Countryside Survey Technical Report No.03/07: Soils Manual.  Centre for Ecology & Hydrology. http://nora.nerc.ac.uk/id/eprint/5201/1/CS_UK_2007_TR3%5B1%5D.pdf\n\nGriffiths, R.I.; Thomson, B.C.; James, P.; Bell, T.; Bailey, M.; Whiteley, A.S. (2011). The bacterial biogeography of British soils. Environmental Microbiology, 13 (6). 1642-1654. https://doi.org/10.1111/j.1462-2920.2011.02480.x\n\nScott, W.A. (2008).  CS Technical Report No.4/07: Statistical Report.  Centre for Ecology & Hydrology. http://nora.nerc.ac.uk/id/eprint/5202/1/CS_UK_2007_TR4%5B1%5D.pdf \n\n","documentType":"GEMINI_DOCUMENT","familyName":["Henrys","Keith","Robinson","Emmett"],"fullName":["Henrys, P.A.","Keith, A.M.","Robinson, D.A.","Emmett, B.A."],"givenName":["P.A.","A.M.","D.A.","B.A."],"identifier":"53210c27-87fc-46e4-a3d6-e731003dc541","incomingCitationCount":0,"keyword":["Soil","Broad Habitat","Countryside Survey","Parent Material Model","Simpson diversity index","Shannon diversity index","Non-metric Multidimensional Scaling ordination (NMDS)"],"keywordsOther":["Broad Habitat","Countryside Survey","Parent Material Model","Simpson diversity index","Shannon diversity index","Non-metric Multidimensional Scaling ordination (NMDS)"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data used are taken from the Countryside Survey Soils Report (Emmett et al. 2010) which can be found at http://nora.nerc.ac.uk/id/eprint/9354/1/CS_UK_2007_TR9.pdf","locations":["POLYGON((-8.67 49.41, -8.67 59.85, 3.04 59.85, 3.04 49.41, -8.67 49.41))"],"metadataDate":"2026-07-24T23:03:51.000Z","orcid":["0000-0003-4758-1482","0000-0001-9619-1320","0000-0001-7290-4867","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395932335486","CEH:EIDC::1395932335486","https://catalogue.ceh.ac.uk/id/53210c27-87fc-46e4-a3d6-e731003dc541","10.5285/53210c27-87fc-46e4-a3d6-e731003dc541","doi:10.5285/53210c27-87fc-46e4-a3d6-e731003dc541"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Topsoil microbe data - Bacteria. Data is representative of 0 - 15 cm soil depth and includes bacterial community structure as assessed by ordination scores, Shannon diversity index and Simpson diversity index. Over 1000 samples from 233 1km x 1km squares across Great…","state":"published","supplementalDescription":["Griffiths, Robert I.; Thomson, Bruce C.; James, Phillip; Bell, Thomas; Bailey, Mark; Whiteley, Andrew S.. 2011 The bacterial biogeography of British soils. Environmental Microbiology, 13 (6). 1642-1654.","Emmett, B.A., Reynolds, B., Chamberlain, P.M., Rowe, E., Spurgeon, D., Brittain, S.A., Frogbrook, Z., Hughes, S., Lawlor, A.J., Poskitt, J., Potter, E., Robinson, D.A., Scott, A., Wood, C., Woods, C. (2010). Countryside Survey: Soils Report from 2007. Technical Report No. 9/07. NERC/Centre for Ecology & Hydrology 192pp. (CEH Project Number: C03259)."],"supplementalName":["Countryside Survey Soils Report from 2007"],"title":"Model estimates of topsoil microbes [Countryside Survey]","topic":["0/Soil/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey","Aarhus University"],"authorFamilyName":["Ebuele","Tandy","Brentegani","Lebron","Tye","Keith","Hermansen","Wollesen de Jonge","Zaresourmanabad","Robinson"],"authorFullName":["Ebuele, V.O.","Tandy, S.","Brentegani, M.","Lebron, I.","Tye, A.","Keith, A.","Hermansen, C.","Wollesen de Jonge, L.","Zaresourmanabad, M.","Robinson, D.A."],"authorGivenName":["Victor O.","Susan","Michele","Inma","Andrew","Aidan","Cecile","Lis","Marzieh","David A."],"authorOrcid":["0000-0001-9410-1109","0000-0003-0662-0991","0000-0001-8610-9717","0000-0002-1925-3732","0000-0003-2874-0644","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01aj84f44"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results","documentType":"GEMINI_DOCUMENT","familyName":["Ebuele","Tandy","Brentegani","Lebron","Tye","Keith","Hermansen","Wollesen de Jonge","Zaresourmanabad","Robinson"],"fullName":["Ebuele, V.O.","Tandy, S.","Brentegani, M.","Lebron, I.","Tye, A.","Keith, A.","Hermansen, C.","Wollesen de Jonge, L.","Zaresourmanabad, M.","Robinson, D.A.","Victor Oghogho Ebuele"],"funder":["Natural Environment Research Council"],"givenName":["Victor O.","Susan","Michele","Inma","Andrew","Aidan","Cecile","Lis","Marzieh","David A."],"grant":["NE/Y006208/1","10053484","NE/R016429/1"],"identifier":"ea727f8d-6441-4d88-8ed7-1760bda0c3c3","incomingCitationCount":0,"keyword":["Environmental survey","Environmental risk","Soil","Vis-NIR","spectroscopy"],"keywordsOther":["Vis-NIR","spectroscopy"],"keywordsTheme":["Environmental survey","Environmental risk","Soil"],"licence":"Open government licence","lineage":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey, only 451 were used for diffuse reflectance spectroscopy due to sample availability. Diffuse reflectance spectra were gathered from 451 samples using the ASD AgricSpec spectrometer and from 306 samples using the FOSS DS2500 spectrometer in the visible (350 to 780 nm) and near-infrared (780 to 2500 nm) regions, with spectral resolutions of 1 nm and 0.5 nm, respectively. The spectral data from both instruments were employed to predict 23 soil parameters related to harmonized soil properties within the Open Spectra Soil Library (OSSL) prediction engine. A comparative analysis was performed between 12 of the available measured soil matrices and their corresponding prediction results","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:52:00.000Z","orcid":["0000-0001-9410-1109","0000-0003-0662-0991","0000-0001-8610-9717","0000-0002-1925-3732","0000-0003-2874-0644","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","Aarhus University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea727f8d-6441-4d88-8ed7-1760bda0c3c3","10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3","doi:10.5285/ea727f8d-6441-4d88-8ed7-1760bda0c3c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01aj84f44","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information about the visible and near-infrared (Vis-NIR) reflectance spectra collected from re-quartered reserved fine earth (FE) soil samples obtained during the 2018-2019 Countryside Survey. Out of the 481 samples collected during the survey,…","state":"published","title":"Topsoil visible and near-infrared (Vis-NIR) spectral data from the UKCEH Countryside Survey, Great Britain, 2018-2019","topic":["0/Environmental survey/","0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Anglia-Ruskin University"],"authorFamilyName":["Roy","Brown","Harrower","Dean","Rorke"],"authorFullName":["Roy, H.E.","Brown, P.M.J.","Harrower, C.","Dean, H.J.","Rorke, S.L.","Roy, D.B."],"authorGivenName":["H.E.","P.M.J.","C.","H.J.","S.L.","D.B."],"authorOrcid":["0000-0001-6050-679X","0000-0002-6163-4504","0000-0001-5070-5293","0000-0002-9602-7202","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0009t4v78"],"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"The dataset consists of location records of the Harlequin ladybird (Harmonia axyridis) in the UK. The records span from 2004 to 2016 with three records from 2003. Records were collected from several sources with the majority coming from online recording via the Harlequin Ladybird Survey website, the UK Ladybird Survey website and the iRecord Ladybird app. Other records have come from coleopterists and from a data call for the most recent ladybird atlas (e.g. local record centres, natural history societies, county Coleoptera recorders). The records include location, date and vice county, as well as life stage and colour form where available. The arrival of the Harlequin ladybird has provided a unique opportunity to study the spread of an invasive animal from the start of the invasion process. The advancements in modern technology, in particular the internet, has also provided new opportunities for recording and has enabled engagement with a far wider audience than was previously possible. This has allowed the ladybird surveys to deal efficiently with large volumes of data and verify and validate submitted records quickly. The data authors are extremely grateful to the many thousands of people across Britain who have contributed their ladybird findings to the UK Ladybird Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Roy","Brown","Harrower","Dean","Rorke"],"fullName":["Roy, H.E.","Brown, P.M.J.","Harrower, C.","Dean, H.J.","Rorke, S.L.","Roy, D.B.","Roy, H."],"givenName":["H.E.","P.M.J.","C.","H.J.","S.L.","D.B.","Helen"],"identifier":"70ee24a5-d19c-4ca8-a1ce-ca4b51e54933","incomingCitationCount":1,"keyword":["UK","Britain","Invasive species","Harmonia axyridis"],"keywordsOther":["Harmonia axyridis"],"keywordsPlace":["UK","Britain"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"The data have come from direct observations from members of the public, who have submitted records through an online recording form. The majority of data are at 1km or better resolution. Records have been verified by expert entomologists from specimens or photographs, or have been received from accredited recorders. Coverage is complete, as known; media attention since the harlequin's arrival has increased the awareness of this species and ladybird recording.","locations":["POLYGON((-8.648 49.863, -8.648 60.86, 1.768 60.86, 1.768 49.863, -8.648 49.863))"],"metadataDate":"2026-09-02T13:45:00.000Z","orcid":["0000-0001-6050-679X","0000-0002-6163-4504","0000-0001-5070-5293","0000-0002-9602-7202","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Anglia-Ruskin University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-05-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70ee24a5-d19c-4ca8-a1ce-ca4b51e54933","10.5285/70ee24a5-d19c-4ca8-a1ce-ca4b51e54933","doi:10.5285/70ee24a5-d19c-4ca8-a1ce-ca4b51e54933"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0009t4v78","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of location records of the Harlequin ladybird (Harmonia axyridis) in the UK. The records span from 2004 to 2016 with three records from 2003. Records were collected from several sources with the majority coming from online recording via the Harlequin…","state":"published","supplementalName":["Harlequin ladybird survey website"],"title":"Harmonia axyridis invasion: UK distribution data 2004-2016","topic":["0/Invasive species/"],"version":1.0,"view":["public","hajd"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}