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Environment"],"authorFamilyName":["Levy","Smith","Tang","Stedman"],"authorFullName":["Levy, P.E.","Smith, R.I.","Tang, Y.S.","Stedman, J.R."],"authorGivenName":["P.E.","R.I.","Y.S.","J.R."],"authorOrcid":["0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets provide Concentration Based Estimated Deposition (CBED) values of nitrogen, sulphur and base cations deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 1986 to 2012.\n\nThe data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition.\n\nHabitat-specific data are provided for (i) moorland/short vegetation, and (ii) forest. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Department for Environment, Food & Rural Affairs (Defra) contracts. ","documentType":"GEMINI_DOCUMENT","familyName":["Levy","Smith","Tang","Stedman"],"fullName":["Levy, P.E.","Smith, R.I.","Tang, Y.S.","Stedman, J.R."],"givenName":["P.E.","R.I.","Y.S.","J.R."],"identifier":"8e7644fe-9f17-4fc3-8e4e-8b10a42d5d50","incomingCitationCount":1,"keyword":["Concentration Based Estimated Deposition (CBED)","pollutant","deposition","nitrogen","base cations","sulphur"],"keywordsOther":["pollutant","deposition","nitrogen","base cations","sulphur"],"keywordsProject":["Concentration Based Estimated Deposition (CBED)"],"licence":"Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the 5x5 km grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. \n\nThe CBED model was originally written in Genstat, but has been re-implemented in R.  The data provided here come from the R version, which have some small numerical differences from the Genstat version.  The differences arise from differences in the algorithm for spatial interpoolation (kriging), and using the long-term mean orographic enhancement factor in each grid square (rather than recalculating this each year). In earlier years, some components such as aerosols were not measured, which makes the retrospective estimation total nitrogen and suphur deposition incomplete. These components have therefore been estimated retrospectively, based on the long-term mean fraction that each component contributes, compared to the wet deposition (which has the longest measurement record).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T13:37:32.000Z","orcid":["0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e7644fe-9f17-4fc3-8e4e-8b10a42d5d50","10.5285/8e7644fe-9f17-4fc3-8e4e-8b10a42d5d50","doi:10.5285/8e7644fe-9f17-4fc3-8e4e-8b10a42d5d50"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets provide Concentration Based Estimated Deposition (CBED) values of nitrogen, sulphur and base cations deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 1986 to 2012.\n\nThe data consist of deposition values for sulphur, oxidised…","state":"published","supplementalDescription":["Fowler, D., Cape, J.N., Leith, I.D., Choularton, T.W., Gay, M.J. & Jones, A.  1988.  The influence of altitude on rainfall composition at Great Dun Fell.  Atmospheric Environment, 22, 1355-1362.","Hallsworth, S., Sutton, M.A., Dore, A.J., Dragosits, U., Tang, Y.S. & Vieno, M.  2010.  The role of the indicator choice in quantifying the ammonia threat to the Natura 2000 network.  Environmental Science & Policy, 13, 671-687","Smith, R.I., Fowler, D., Sutton, M.A., Flechard, C. & Coyle, M.  2000.  Regional estimation of pollutant gas deposition in the UK: model description, sensitivity analyses and outputs.  Atmospheric Environment, 34, 3757-3777.","Stedman, J.R., Kent, A.J., Grice, S., Bush, T.J. & Derwent, R.G.  2007.  A consistent method for modelling PM10 and PM2.5 concentrations across the United Kingdom in 2004 for air quality assessment.  Atmospheric Environment, 41, 161-172.","Dore, A.J., Choularton, T.W. & Inglis, D.W.F.  2001.  Monitoring studies of precipitation and cap cloud chemistry at Holme Moss in the Southern Pennines.  Water, Air and Soil Pollution: Focus 1; 381-390.","Beswick, K.M., Choularton, T.W., Inglis, D.W.F., Dore, A.J. & Fowler, D.  2003.  Influences on long-term trends in ion concentration and deposition at Holme Moss.  Atmospheric Environment, 37 (14), 1927-1940."],"supplementalName":["UK Acidifying and Eutrophying Atmospheric Pollutants ","United Kingdom Eutrophying & Acidifying Network (UKEAP) "],"temporalExtentText":"Data collected from 1986 to 2012","title":"Deposition of nitrogen, sulphur and base cations to the UK (1986-2012)","version":1.0,"view":["public","crimar"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service shows bee nectar plant richness across Great Britain .  The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. 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The ecosystem services capacity matrix was then filled by 25 experts with extensive theoretical and practical knowledge of the local environment and/or ES were engaged in the research. ES and EDS scores were ranked from 0 to 5 to express the capacity of an ET to provide a specific ES/EDS. In addition to each ES/EDS score, the experts were asked to give a confidence index in their score for each ES/EDS and each ET from 1 to 3. 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During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Leake","Read","Sier"],"fullName":["Johnson, D.","Leake, J.R.","Read, D.J.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["D.","J.R.","D.J.","Andy"],"identifier":"e300da0a-e0db-42b3-8986-56efef2985c2","incomingCitationCount":0,"keyword":["Soil","Soil microbial biomass carbon","Soil basal respiration rate","Metabolic quotient","soil"],"keywordsOther":["Soil microbial biomass carbon","Soil basal respiration rate","Metabolic quotient","soil"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). These data were collected from an experimental facility using soil from the Sourhope site. Data were collected by students and staff from the University of Sheffield, following defined protocols.\n\nData from the programme were managed by the Centre for Ecology & Hydrology.","metadataDate":"2026-07-25T14:48:12.000Z","organisation":["University of Sheffield","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e300da0a-e0db-42b3-8986-56efef2985c2","10.5285/e300da0a-e0db-42b3-8986-56efef2985c2","doi:10.5285/e300da0a-e0db-42b3-8986-56efef2985c2"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These measurements of soil microbial biomass carbon, soil basal respiration rate and metabolic quotient were taken from an experiment set up at the University of Sheffield, using soil from the NERC Soil Biodiversity site at Sourhope.  \n\nThe work was part of the NERC…","state":"published","supplementalDescription":["Johnson, D., Leake, J. R., & Read, D. J. (2005). Liming and nitrogen fertilization affects phosphatase activities, microbial biomass and mycorrhizal colonisation in upland grassland. Plant and Soil, 271(1-2), 157-164.","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. 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Samples were collected at four time points between May 2022 and June 2023 from the River Ghaggar and wastewater effluent sites. ","documentType":"GEMINI_DOCUMENT","familyName":["Carter","Ahammad","Gupta","Dahiya","Haneef","Rizwanul Haq","Sareen","Chorpra","Ahmad","Chowdhury"],"fullName":["Carter, L.","Ahammad, S.Z.","Gupta, S.","Dahiya, A.K.","Haneef, M.","Rizwanul Haq, Q.M.","Sareen, D.","Chorpra, S.","Ahmad, I.","Chowdhury, K.","Laura Carter"],"funder":["Natural Environment Research Council"],"givenName":["Laura","Shaikh Ziauddin ","Sonia","Anil Kumar","Mahenaz","Qazi Mohd","Dipti","Sidharth ","Iqbal","Kaniz"],"grant":["NE/T01301X/1"],"identifier":"1a4588b8-7145-49ce-8bd5-0895d385932d","incomingCitationCount":0,"keyword":["Pollution","water quality"],"keywordsOther":["water quality"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"This dataset contains concentrations of six antibiotics (oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, norfloxacin) measured at seven locations across two catchments in India: the Dera Bassi catchment (Punjab) and the Bhiwadi catchment (Rajasthan). Water samples—comprising river water from the River Ghaggar (Dera Bassi) and wastewater effluent from the Bhiwadi region—were collected at four time points between May 2022 and June 2023 (May 2022, October 2022, January 2023, June 2023). All samples were extracted using solid-phase extraction methods at the Indian Institute of Technology (IIT) Delhi. Extracts were then transported to the University of Leeds for chemical analysis using liquid chromatography tandem mass spectrometry (LC-MS/MS). Analytical procedures followed adapted methods from Singh et al. (2019) to ensure comparability and reliability. Quality control measures—including method blanks, matrix spikes, and replicate analyses—were applied throughout to ensure data integrity.","locations":["POLYGON((66.837 7.746, 66.837 33.68, 89.435 33.68, 89.435 7.746, 66.837 7.746))"],"metadataDate":"2026-11-05T13:33:55.000Z","organisation":["University of Leeds","Indian Institute of Technology Delhi","Jamia Millia Islamia","Panjab University","Central Drug Research Institute","Aligarh Muslim University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-11-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1a4588b8-7145-49ce-8bd5-0895d385932d","10.5285/1a4588b8-7145-49ce-8bd5-0895d385932d","doi:10.5285/1a4588b8-7145-49ce-8bd5-0895d385932d"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/049tgcd06","https://ror.org/00pnhhv55","https://ror.org/04p2sbk06","https://ror.org/04t8qjg16","https://ror.org/03kw9gc02","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reports concentrations of six antibiotics—oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, and norfloxacin—measured in surface water and wastewater from two catchments in India: Dera Bassi (Punjab) and Bhiwadi (Rajasthan). Samples…","state":"published","temporalExtentText":"Data collected from 2022 to 2023","title":"Antibiotic pollution in surface water and wastewater from two catchments in India, May 2022 - June 2023","topic":["0/Pollution/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Henrys","Norton","Smart"],"authorFullName":["Maskell, L.","Henrys, P.A.","Norton, L.","Smart, S."],"authorGivenName":["L.","P.A.","S."],"authorOrcid":["0000-0003-4006-7755","0000-0003-4758-1482","0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset models positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In each Countryside Survey 2007 area vegetation plot the number of positive plant habitat indicators (taken from a list created from Common Standards Monitoring Guidance and consultation with the Botanical society of the British Isles (BSBI)) for the habitat type in which the plot is located are counted. This count is then divided by the possible indicators for that habitat type (and multiplied by 100) to get a percentage value. This is extrapolated to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in a Site of Special Scientific Interest (SSSI) (presence or absence data). ","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Henrys","Norton","Smart"],"fullName":["Maskell, L.","Henrys, P.A.","Norton, L.","Smart, S."],"givenName":["L.","P.A.","S."],"identifier":"cc5ae9b1-43a0-475e-9157-a9b7fccb24e7","incomingCitationCount":0,"keyword":["Countryside Survey","Biodiversity","Broad Habitats","Priority Habitats","Common Standards Monitoring"],"keywordsOther":["Broad Habitats","Priority Habitats","Common Standards Monitoring"],"keywordsProject":["Countryside Survey"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"This dataset was created from Countryside Survey 2007 area (x,y,u) vegetation plot data. Each plot was classified to a Broad Habitat type. In each plot the number of positive habitat indicators for the Habitat type that it was classified to were counted. These positive indicators were taken from a list of plant species characteristic of each Broad Habitat created from Common Standards Monitoring Guidance and in consultation with the Botanical Society of the British Isles (BSBI) - it has been provided with this dataset. This count was then divided by the total number of positive indicators that could have been found in that habitat type and multiplied by 100. The data was extrapolated to 1km squares across GB using a generalised additive mixed model incorporating the 1km square as a random variable to account for spatial autocorrelation between plots in the same square. A poisson distribution was specified. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, sulphur deposition, precipitation and whether the plot is located in an SSSI (presence or absence data).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:05:46.000Z","orcid":["0000-0003-4006-7755","0000-0003-4758-1482","0000-0003-2750-7832"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","Natural England","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7","10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7","doi:10.5285/cc5ae9b1-43a0-475e-9157-a9b7fccb24e7"],"resourceType":"Dataset","rightsHolder":["Natural England"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00r66pz14"],"shortenedDescription":"This dataset models positive plant habitat condition indicators across Great Britain (GB). This data provides a metric of plant diversity weighted by the species that you would expect and desire to have in a particular habitat type so indicates habitat condition. In…","state":"published","temporalExtentText":"Data collected from 2007 to 2007","title":"Model estimates of expected diversity of positive plant habitat condition indicators","topic":["0/Biodiversity/"],"version":1.0,"view":["public","dgwr"]},{"altTitle":["Perm Hydro project"],"authorAffiliation":["Heriot-Watt University"],"authorFamilyName":["Street","Wookey"],"authorFullName":["Street, L.","Wookey, P."],"authorGivenName":["L.","P."],"authorRor":["https://ror.org/0059w0420"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise soil temperature, air temperature, soil volumetric moisture content, relative humidity, and surface wetness data from Onset Microstation Data Loggers at five locations (within the main vegetation types) at SikSik creek catchment, Trail Valley Creek, NWT, Canada.\n\nThe data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming.","documentType":"GEMINI_DOCUMENT","familyName":["Street","Wookey"],"fullName":["Street, L.","Wookey, P."],"givenName":["L.","P.","Lorna"],"identifier":"10839b38-cc29-4a07-999a-ac32e3f70609","incomingCitationCount":0,"keyword":["Canada","North West Territories","Siksik catchment","Soil","logger","humidity","volumetric water content","air","soil","lichen","atmospheric humidity","temperature"],"keywordsOther":["logger","humidity","volumetric water content","air","soil","lichen","atmospheric humidity","temperature"],"keywordsPlace":["Canada","North West Territories","Siksik catchment"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Methods:\nSoil temperatures were measured at 5 cm depth (below the ground surface) using Onset 12-bit Temperature Smart sensors.\nAir temperature and/or relative humidity (RH) were measured at approximately 0.5 m above the ground surface and shielded from radiation using the Onset solar radiation screen. If air temperature alone was measured, this was using Onset 12-bit Temperature Smart sensors, otherwise air temperature/RH were measured using Onset 12-bit Temperature/Relative Humidity Smart sensors. Surface wetness was measured at the lichen heath location using Onset Leaf wetness smart sensor. Volumetric water content (VWC) was also measured at 5 cm depth (from the ground surface) using ECH2O EC-5 volumetric moisture sensors using factory calibration - where possible in both hummock and inter hummock positions. All measurements were made at 10 minute intervals. Data are continuous with no gap-filling. \nNot all variables were measured at each location:\nLogger 1: soil temperature, air temperature, RH, soil VWC\nLogger 2: soil temperature, air temperature, RH, soil VWC (in Sphagnum moss), soil VWC (under willow shrub)\nLogger 3: soil temperature (hummock), air temperature, RH, soil VWC (hummock), soil VWC (interhummock)\nLogger 4: soil temperature (hummock), air temperature, RH, soil VWC (hummock), soil VWC (interhummock)\nLogger 5: soil temperature (hummock), surface wetness, soil VWC (hummock), soil VWC (interhummock).","locations":["POLYGON((-141.003 41.681, -141.003 83.111, -52.62 83.111, -52.62 41.681, -141.003 41.681))"],"metadataDate":"2026-09-15T08:42:29.000Z","organisation":["Heriot-Watt University","Heriot Watt University","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/10839b38-cc29-4a07-999a-ac32e3f70609","10.5285/10839b38-cc29-4a07-999a-ac32e3f70609","doi:10.5285/10839b38-cc29-4a07-999a-ac32e3f70609"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/0059w0420","https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"Data comprise soil temperature, air temperature, soil volumetric moisture content, relative humidity, and surface wetness data from Onset Microstation Data Loggers at five locations (within the main vegetation types) at SikSik creek catchment, Trail Valley Creek, NWT,…","state":"published","supplementalName":["The NERC Arctic Research Programme","Hydrological Controls on Carbon Cycling and Greenhouse Gas Budgets (HYDRA)","PROJECT HYDRA blog"],"temporalExtentText":"Data collected from 2013 to 2015","title":"Soil temperature, soil moisture, air temperature and relative humidity for vegetation at Siksik Creek, North West Territories, Canada","topic":["0/Soil/"],"version":1.0,"view":["public","jgar"]},{"altTitle":["Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA)"],"availability":"Unknown","catalogue":"eidc","description":"This project investigates the impact of the current El Niño event on biodiversity, ecosystem processes and yield within oil palm plantations in Riau Province, Sumatra, Indonesia, and the potential role of different understory management and replanting strategies in reducing the severity of changes in biodiversity and ecosystem processes, and speeding recovery times following the El Niño event.\n\nData may be useful to agricultural practitioners and to the conservation community and may lead to specific management recommendations for improving the sustainable production of this globally-important crop.\nData include oil palm frond litter decomposition rates, mealworm predation rates and sunflower seed predation rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P00458X/1"],"identifier":"a8b48a48-d7f2-479d-b877-f1a5097ced19","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((100.003 0.516, 100.003 1.812, 101.662 1.812, 101.662 0.516, 100.003 0.516))"],"metadataDate":"2023-03-14T08:09:43.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a8b48a48-d7f2-479d-b877-f1a5097ced19"],"resourceType":"Aggregation","shortenedDescription":"This project investigates the impact of the current El Niño event on biodiversity, ecosystem processes and yield within oil palm plantations in Riau Province, Sumatra, Indonesia, and the potential role of different understory management and replanting strategies in…","state":"published","supplementalDescription":["Biodiversity and Ecosystem Function in Tropical Agriculture"],"supplementalName":["BEFTA Programme"],"temporalExtentText":"Data collected from 2016 to 2019","title":"Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Liverpool","Museo Nacional de Ciencias Naturales, Madrid","University of Cambridge","Institute of Zoology"],"authorFamilyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"authorFullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"authorGivenName":["Andy","D. R.","J. ","C.","A.","T. W. J."],"authorOrcid":["0000-0002-7676-917X","0000-0002-8984-8897","0000-0002-0099-7934","0000-0003-1895-450X","0000-0002-0336-9706"],"authorRor":["https://ror.org/04xs57h96","https://ror.org/02v6zg374","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis) and Spiny toads (Bufo spinosus). The infection used was Batrachochytrium dendrobatidis (Bd).\n\nThe experiment was executed in the late summer of 2017, at the Centre for Captive Breeding of Threatened Amphibians, located in Rascafria, Spain. ","documentType":"GEMINI_DOCUMENT","familyName":["Fenton","Daversa","Bosch","Serrano","Manica","Garner"],"fullName":["Fenton, A.","Daversa, D.R.","Bosch, J.","Serrano, C.","Manica, A.","Garner, T.W.J."],"funder":["Natural Environment Research Council"],"givenName":["Andy","D. R.","J. ","C.","A.","T. W. J."],"identifier":"093d6938-39f5-414d-b638-7d18e6dc52d3","incomingCitationCount":0,"keyword":["Environmental survey","Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsOther":["Hyla meridiensis","Bufo spinosus","salamander","Batrachochytrium dendrobatidis"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The experiment quantified Batrachochytrium dendrobatidis (Bd) infection dynamics in experimental host communities that varied in relative abundances of three host species that co-occur in the park: salamanders, Tree frogs (Hyla meridiensis), and Spiny toads (Bufo spinosus). There were five treatments total: \n\n(i) control - 24 salamanders only;\n(ii) 2 species with toads - 12 salamanders and 12 toads;\n(iii) 2 species with frogs - 12 salamanders and 12 frogs;\n(iv) 3 species non-random - 12 salamanders, 6 toads, and 6 frogs; \n(v) 3 species random - relative abundances of salamanders, toads, and frogs chosen at random.","metadataDate":"2026-11-05T13:39:20.000Z","orcid":["0000-0002-7676-917X","0000-0002-8984-8897","0000-0002-0099-7934","0000-0003-1895-450X","0000-0002-0336-9706"],"organisation":["University of Liverpool","Museo Nacional de Ciencias Naturales, Madrid","University of Cambridge","Institute of Zoology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/093d6938-39f5-414d-b638-7d18e6dc52d3","10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3","doi:10.5285/093d6938-39f5-414d-b638-7d18e6dc52d3"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Liverpool","Institute of Zoology"],"ror":["https://ror.org/04xs57h96","https://ror.org/02v6zg374","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"Data were generated from a mesocosm experiment  to determine the extent to which non-reservoir hosts impact the maintenance and transmission of infections from parasites supported by reservoir hosts.  The three host species were salamanders, Tree frogs (Hyla meridiensis)…","state":"published","temporalExtentText":"Data collected from 2017 to 2017","title":"Chytrid fungus infection data in multi-host mesocosm communities","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"17223091-ca33-41f8-bd5b-bdd2a222cdae","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Biodiversity Action Plan","land cover","map","habitat"],"keywordsOther":["Biodiversity Action Plan","land cover","map","habitat"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.\n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2023 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThe 25m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-11-05T13:14:47.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/17223091-ca33-41f8-bd5b-bdd2a222cdae","10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae","doi:10.5285/17223091-ca33-41f8-bd5b-bdd2a222cdae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Land Cover Map 2023 (10m classified pixels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Broughton","Burkmar","McCracken","Mitschunas","Norton","Pallett","Patton","Redhead","Staley","Wood","Pywell"],"authorFullName":["Broughton, R.K.","Burkmar, R.","McCracken, M.","Mitschunas, N.","Norton, L.R.","Pallett, D.W.","Patton, J.","Redhead, J.W.","Staley, J.T.","Wood, C.M.","Pywell, R.F."],"authorGivenName":["R.K.","R.","M.","N.","L.R.","D.W.","J.","J.W.","J.T.","C.M.","R.F."],"authorOrcid":["0000-0002-6838-9628","0000-0002-8298-8838","0000-0002-1622-0281","0000-0002-3981-6547","0009-0002-2534-8938","0000-0002-2233-3848","0000-0001-6467-3712","0000-0002-0394-2998","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains a model of the extent and height class of woody linear features on field boundaries in England, including hedgerows, tree lines and semi-natural thickets of shrubs and trees. The model was derived from processing of the Environment Agency lidar product (National Lidar Programme), captured in 2016-2021, and the linework is consistent with the polygon boundaries used in the UK Centre for Ecology & Hydrology (UKCEH) Land Cover Map (LCM).  \n\nDue to expected low densities of woody linear features, and potential uncertainty, areas excluded from the coverage include LCM classes of mountain/moor/heath, open water and the coastal zone, urban/suburban areas and woodlands (i.e., areas of continuous non-linear woody cover).  An area of approximately 24 x 25 km on the North Yorkshire Moors was also excluded from the model, as this area was not mapped by the EA lidar.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Burkmar","McCracken","Mitschunas","Norton","Pallett","Patton","Redhead","Staley","Wood","Pywell"],"fullName":["Broughton, R.K.","Burkmar, R.","McCracken, M.","Mitschunas, N.","Norton, L.R.","Pallett, D.W.","Patton, J.","Redhead, J.W.","Staley, J.T.","Wood, C.M.","Pywell, R.F.","Broughton, R."],"funder":["Natural Environment Research Council"],"givenName":["R.K.","R.","M.","N.","L.R.","D.W.","J.","J.W.","J.T.","C.M.","R.F.","Richard"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"d90a3733-2949-4dfa-8ac2-a88aef8699be","incomingCitationCount":5,"keyword":["England","AgZero+","Land cover","tree lines","non-woodland trees","woody linear features","field boundaries","JASMIN","lidar","hedge","tree","shrub","LCM+"],"keywordsOther":["tree lines","non-woodland trees","woody linear features","field boundaries","JASMIN","lidar","hedge","tree","shrub","LCM+"],"keywordsPlace":["England"],"keywordsProject":["AgZero+"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"This model was produced by collating Environment Agency airborne lidar data, Land Cover Map (LCM) linear data, and Ordnance Survey (OS) data. The lidar data were filtered and pixels were removed based on their attributes and coincidence with OS data (masking). Vectorized output was used to classify a linear framework of the LCM, creating a classified polyline model of linear features. \n\nThe model was validated by ‘ground-truthing’ against 38 test squares of 1 km^2 each, which were surveyed on the ground by trained fieldworkers in 2022 using Countryside Survey methods. The results showed good agreement between the lidar model and the ground-truthing, allowing for a spatial buffer tolerance around features to account for the different linear frameworks they were based upon. At the summary scale across all test squares, the total woody feature lengths showed a 96% agreement. At the scale of individual test squares, there was an average 76% agreement of woody feature lengths within a 20 m buffer tolerance. Height classifications of the model showed an exact agreement for 32% of the total feature length, and 63% agreement within a tolerance of one class above or below.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-11-05T13:14:21.000Z","orcid":["0000-0002-6838-9628","0000-0002-8298-8838","0000-0002-1622-0281","0000-0002-3981-6547","0009-0002-2534-8938","0000-0002-2233-3848","0000-0001-6467-3712","0000-0002-0394-2998","0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d90a3733-2949-4dfa-8ac2-a88aef8699be","10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be","doi:10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a model of the extent and height class of woody linear features on field boundaries in England, including hedgerows, tree lines and semi-natural thickets of shrubs and trees. The model was derived from processing of the Environment Agency lidar…","state":"published","temporalExtentText":"Data collected from 2016 to 2021","title":"UKCEH Land Cover Plus: Hedgerows 2016-2021 (England)","topic":["0/Land cover/"],"version":1.0,"view":["public","jenroe"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National Nature Reserve (NNR), a UNESCO Biosphere Reserve and a European Special Protection Area. Habitats include exposed summits, extensive blanket peatlands, upland grasslands, pastures, hay meadows and deciduous woodland. Altitude ranges from 290 to 850 m. Moor House - Upper Teesdale is part of the Environmental Change Network (ECN) which is the UK's long-term environmental monitoring programme.","documentType":"GEMINI_DOCUMENT","identifier":"0c5c5e20-246e-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["North Pennines","England","Upper Teesdale","Moor house NNR","Environmental Change Network (ECN)","Land cover","National Nature Reserve","UNESCO Biosphere Reserve","Special Protection Area","SPA","infoMapAccessService","vegetation","soil","geology"],"keywordsOther":["National Nature Reserve","UNESCO Biosphere Reserve","Special Protection Area","SPA","infoMapAccessService","vegetation","soil","geology"],"keywordsPlace":["North Pennines","England","Upper Teesdale","Moor house NNR"],"keywordsProject":["Environmental Change Network (ECN)"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"The soil map was originally created in 1963 by G.A.L. Johnson from methods outlined in Soil Map of the Moor House National Nature Reserve (1963), Westmorland. Soil Survey for the Nature Conservancy by GAL Johnson in The Geology of Moor House, a National Nature Reserve in north-east Westmorland / Johnson G.A.L., Dunham K.C., Monographs of the Nature Conservancy (No.2) 1963, HMSO. The geological map of the Moor House region was started in 1954. The survey was undertaken by G.A.L. Johnson under a grant by The Nature Conservancy (a forerunner of the Natural Environment Research Council). The original map was mapped on to a base map of 3 inches to the mile. The vegetation map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). Note that the reserve has been extended to Upper Teesdale, however these maps cover the Moor House area only. The paper maps were digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s.","locations":["POLYGON((-2.53 54.6, -2.53 54.73, -2.3 54.73, -2.3 54.6, -2.53 54.6))"],"metadataDate":"2026-09-15T08:38:27.000Z","organisation":["Natural Environment Research Council","Centre of Ecology and Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-01-01T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["1413812238997","CEH:EIDC::1413812238997","https://catalogue.ceh.ac.uk/id/0c5c5e20-246e-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"Map service of soil types, geology and vegetation in the Moor House region of the Moor House - Upper Teesdale National Nature Reserve. The site lies in the North Pennine uplands of England and has an area of 74 km2. It is England's highest and largest terrestrial National…","state":"published","supplementalName":["ECN website"],"title":"Soil, vegetation and geology maps of the Moor House National Nature Reserve WMS","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the Land Cover Map 2007 (LCM2007), percentage cover at 1km for aggregate classes. Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a hierarchical nomenclature corresponding to Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible , incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This WMS is for Great Britain only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"5d324260-22d9-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-08-12T12:00:46.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d324260-22d9-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the Land Cover Map 2007 (LCM2007), percentage cover at 1km for aggregate classes. Land Cover Map 2007 (LCM2007) is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates…","state":"published","title":"Land Cover Map 2007 (1km percentage aggregate class, GB) Web Map Service v1.2","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Nottingham"],"authorFamilyName":["Ravinet","Rouse"],"authorFullName":["Ravinet, M.","Rouse, J."],"authorGivenName":["M.","J."],"authorOrcid":["0000-0002-2841-1798","0000-0003-1568-9122"],"availability":"Available","catalogue":"eidc","dataFormat":[".m",".jpeg",".mat"],"description":"This dataset comprises reference and deformed images of F1 hybrid and house sparrow (THE) hybrid skull prints and a short Matlab code to extract wireframe deformation model. Loading was conducted at the University of Nottingham in 2023 on a customised loading frame. A reference database is provided as an example of pre-processed data. ","documentType":"GEMINI_DOCUMENT","familyName":["Ravinet","Rouse"],"fullName":["Ravinet, M.","Rouse, J."],"funder":["Natural Environment Research Council"],"givenName":["M.","J."],"grant":["NE/X018083/1"],"identifier":"38e3bd7f-63a6-41a6-8bb3-4cad89bdb14d","incomingCitationCount":0,"keyword":["Biodiversity","craniofacial morphology","morphology","beak","sparrow","skull"],"keywordsOther":["craniofacial morphology","morphology","beak","sparrow","skull"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Samples were derived from the collection at the Natural History Museum, Oslo, Norway. All samples were scanned with the use of a high-resolution X-ray Waygate Technologies v|tome|x M 240kV CT system at 26μA at the Hounsfield Facility on the Sutton Bonnington Campus of the University of Nottingham, UK. \nThese were then 3D printed using polyamides at the University of Nottingham. Printed skulls were then tested for mechanical stress in a multiaxial loading frame and stresses quantified using digital image correlation. The deposited data are the results and analysis from this deformation step. \n","metadataDate":"2026-11-05T14:32:30.000Z","orcid":["0000-0002-2841-1798","0000-0003-1568-9122"],"organisation":["University of Nottingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/38e3bd7f-63a6-41a6-8bb3-4cad89bdb14d","10.5285/38e3bd7f-63a6-41a6-8bb3-4cad89bdb14d","doi:10.5285/38e3bd7f-63a6-41a6-8bb3-4cad89bdb14d"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Nottingham"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises reference and deformed images of F1 hybrid and house sparrow (THE) hybrid skull prints and a short Matlab code to extract wireframe deformation model. Loading was conducted at the University of Nottingham in 2023 on a customised loading frame.…","state":"published","title":"Digital image correlation and mechanical stress test measurements on Passer sparrow skull models","topic":["0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Middlebrook","Harrower","Conway","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.","Conway, R.","Roy, D.B."],"authorGivenName":["M.S.","I.","C.","R.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.\n\nSite indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.\n\nSite indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Middlebrook","Harrower","Conway","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Harrower, C.","Conway, R.","Roy, D.B.","Botham, M."],"funder":["Natural Environment Research Council","Butterfly Conservation","JNCC"],"givenName":["M.S.","I.","C.","R.","D.B.","Marc"],"grant":["NE/S011641/1"],"identifier":"04857889-1b09-40ff-a87e-71eb6ac2e998","incomingCitationCount":0,"keyword":["England","Scotland","Northern Ireland","United Kingdom","Wales","UK-SCAPE","Biodiversity","Monitoring","Observation systems"],"keywordsOther":["Monitoring","Observation systems"],"keywordsPlace":["England","Scotland","Northern Ireland","United Kingdom","Wales"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Automatic checks are applied when data are entered into the Transect Walker program to alert recorders to potential data entry errors, e.g. abnormally high counts of a species or a record of species outside of its recognised flight period. The recorder is given the option to proceed with the record or to alter it appropriately. Each site data belongs to a region for which a transect coordinator is responsible. The regional coordinator has good knowledge of the sites they receive records for and checks the records for any questionable records. Data entered online is also checked by the regional transect coordinators and can be done so continuously throughout the season. Following these preliminary validation checks, the data undergoes a series of further automated and manual validation procedures including queries to check for records of species that are: recorded out of their known distribution range (using data from Butterfly Conservation's Butterflies for the New Millennium (BNM) and existing UKBMS data), recorded out of their normal flight period, recorded for the first time at a site, have extreme abundances or abundances that are markedly different to normal for a given site at a given time of year.","locations":["POLYGON((-9.272 49.124, -9.272 60.861, 1.768 60.861, 1.768 49.124, -9.272 49.124))"],"metadataDate":"2026-11-05T14:31:40.000Z","orcid":["0000-0002-5276-1405","0000-0002-0448-9144","0000-0001-5070-5293","0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","NERC EDS Environmental Information Data Centre","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"publicationDate":"2025-01-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/04857889-1b09-40ff-a87e-71eb6ac2e998","10.5285/04857889-1b09-40ff-a87e-71eb6ac2e998","doi:10.5285/04857889-1b09-40ff-a87e-71eb6ac2e998"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Natural Environment Research Council","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"United Kingdom Butterfly Monitoring Scheme: site indices 2023","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["The Open University"],"authorFamilyName":["Loughlin"],"authorFullName":["Loughlin, N.J.D."],"authorGivenName":["N.J.D."],"authorOrcid":["0000-0003-2205-044X"],"authorRor":["https://ror.org/05mzfcs16"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest of Ecuador. \n\nPalaeoecological proxy data were recovered from lake sediments, surface soil and moss pollsters within the eastern Andean cloud forest of Ecuador. Materials and proxy data were collected with the aim of understanding how ecosystem dynamics were driven by anthropogenic, physical and climatic impact through time (late Quaternary). Here, data are provided for pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF). Field samples were collected throughout 2012-2013 from the Napo province of Ecuador and analysed in the laboratory throughout 2014-2015 at The Open University (UK).","documentType":"GEMINI_DOCUMENT","familyName":["Loughlin"],"fullName":["Loughlin, N.J.D.","Loughlin, N."],"funder":["Natural Environment Research Council"],"givenName":["N.J.D.","Nicholas"],"grant":["NE/L501888/1"],"identifier":"952e8ddb-b573-44ad-a930-2c8c5164a381","incomingCitationCount":1,"keyword":["late Quaternary","palynological","non-pollen palynomorphs","Neotropics","palynology","charcoal","pollen","palaeoecology"],"keywordsOther":["late Quaternary","palynological","non-pollen palynomorphs","Neotropics","palynology","charcoal","pollen","palaeoecology"],"licence":"Open government licence","lineage":"Sampling regime: Coring of Lake Huila was undertaken using a Livingstone corer with a Colinvaux-Vohnout piston modification from a floating platform attached to two anchored boats in 1.2m of water. Individual core lengths of up to 1m were recovered at a time. Samples were stored within their aluminium tubes for transportation back to the laboratory (The Open University) and kept in a cold room at 4°C until required. Overlapping sediment cores were taken from the centre of Huila, the longest core (Huila-E) reached a total depth of 2.09 m and was used for analysis. Bedrock was not reached during coring. For full details please see supporting documentation (Data_overview.rtf)","locations":["POLYGON((-78.223 -0.729, -78.223 -0.234, -77.769 -0.234, -77.769 -0.729, -78.223 -0.729))"],"metadataDate":"2026-11-05T13:32:48.000Z","orcid":["0000-0003-2205-044X"],"organisation":["The Open University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/952e8ddb-b573-44ad-a930-2c8c5164a381","10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381","doi:10.5285/952e8ddb-b573-44ad-a930-2c8c5164a381"],"resourceType":"Dataset","ror":["https://ror.org/05mzfcs16","https://ror.org/04xw4m193"],"shortenedDescription":"Palaeoecological proxy data (pollen, non-pollen palynomorph (NPP), micro-charcoal, macro-charcoal, loss-on-ignition (LOI) and x-ray fluorescence (XRF)) recovered from lake sediments, cliff exposures, surface soils and moss pollsters within the eastern Andean cloud forest…","state":"published","supplementalDescription":["Loughlin, N.J.D., Gosling, W.D., Coe, A.L., Gulliver, P., Mothes, P., Montoya, E. (2018). Landscape scale drivers of glacial ecosystem change in the montane forests of the eastern Andean flank, Ecuador. Palaeogeography, Palaeoclimatology, Palaeoecology. 489(1): 198-208.","Loughlin, N.J.D., Gosling, W.D., Montoya, E. (2018). Identifying environmental drivers of fungal non-pollen palynomorphs in the montane forest of the eastern Andean flank, Ecuador. Quaternary Research. 89(1): 119-133. "],"temporalExtentText":"Data collected from 2012 to 2013","title":"Late Quaternary palynological data from the eastern Andean montane forest of Ecuador","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Bunce","Shaw","Wood"],"authorFullName":["Bunce, R.G.H.","Shaw, M.W.","Wood, C.M."],"authorGivenName":["R.G.H.","M.W.","C.M."],"authorOrcid":["0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A set of data arising from a detailed ecological survey of the native Scots Pine woodland habitats within Scotland. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood 16 randomly selected 200m2 plots were surveyed (26 of the woods were surveyed in 1971, with 1 extra wood surveyed in 1972). Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardized procedures and coding systems. The survey was carried out by the Nature Conservancy, a forerunner of the Centre for Ecology & Hydrology. ","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Shaw","Wood"],"fullName":["Bunce, R.G.H.","Shaw, M.W.","Wood, C.M.","Wood, C."],"givenName":["R.G.H.","M.W.","C.M.","Claire"],"identifier":"56a48373-771c-4d4a-8b5a-45ef496c6e55","incomingCitationCount":1,"keyword":["Scotland","Environmental survey","native pinewoods","survey","trees","soil","vegetation"],"keywordsOther":["native pinewoods","survey","trees","soil","vegetation"],"keywordsPlace":["Scotland"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data from a detailed ecological survey of the Scots Pine woodland habitats within Britain, undertaken in 1971/72. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood 16 randomly selected 200m2 plots were surveyed (26 of the woods were surveyed in 1971, with 1 extra wood surveyed in 1972). Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardized procedures and coding systems. The data are managed by the Centre for Ecology & Hydrology at Lancaster.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-09-15T08:42:17.000Z","orcid":["0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-09-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1338994811690","CEH:EIDC::1338994811690","https://catalogue.ceh.ac.uk/id/56a48373-771c-4d4a-8b5a-45ef496c6e55","10.5285/56a48373-771c-4d4a-8b5a-45ef496c6e55","doi:10.5285/56a48373-771c-4d4a-8b5a-45ef496c6e55"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A set of data arising from a detailed ecological survey of the native Scots Pine woodland habitats within Scotland. In all, 27 woods from throughout Scotland were identified as the major remaining native pinewoods, and within each wood 16 randomly selected 200m2 plots…","state":"published","temporalExtentText":"Data collected from 1971 to 1972","title":"Habitat, vegetation, tree and soil data from Native Pinewoods in Scotland, 1971","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Astbury","Burden","Emmett","Garbutt","Goodwin","Henrys","Jarvis","Norton","Owen","Sharps","Smart","Williams","Wood","Wright"],"authorFullName":["Maskell, L.C.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Goodwin, A.","Henrys, P.A.","Jarvis, S.G.","Norton, L.R.","Owen, A.","Sharps, K.","Smart, S.M.","Williams, B.","Wood, C.M.","Wright, S.M."],"authorGivenName":["L.C.","S.","A.","B.A.","P.A.","S.G.","L.R.","K.","S.M.","B.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-3265-1505","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of records of point landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as records of features such as trees, ponds and buildings with associated species and condition measures where applicable. Features were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained point features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). \n\nThe monitoring programme 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 Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Astbury","Burden","Emmett","Garbutt","Goodwin","Henrys","Jarvis","Norton","Owen","Sharps","Smart","Williams","Wood","Wright"],"fullName":["Maskell, L.C.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Goodwin, A.","Henrys, P.A.","Jarvis, S.G.","Norton, L.R.","Owen, A.","Sharps, K.","Smart, S.M.","Williams, B.","Wood, C.M.","Wright, S.M.","Maskell, L."],"funder":["Natural Environment Research Council"],"givenName":["L.C.","S.","A.","B.A.","P.A.","S.G.","L.R.","K.","S.M.","B.","C.M.","Lindsay"],"identifier":"9f8d9cc6-b552-4c8b-af09-e92743cdd3de","incomingCitationCount":0,"keyword":["Glastir Monitoring and Evaluation Programme (GMEP)","Biodiversity","Environmental survey","landscape component"],"keywordsOther":["landscape component"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from up to 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.\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":"2026-09-15T09:58:39.000Z","orcid":["0000-0003-4006-7755","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-3265-1505","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f8d9cc6-b552-4c8b-af09-e92743cdd3de","10.5285/9f8d9cc6-b552-4c8b-af09-e92743cdd3de","doi:10.5285/9f8d9cc6-b552-4c8b-af09-e92743cdd3de"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of records of point landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as records of features such as trees, ponds and buildings with associated species and condition measures…","state":"published","supplementalDescription":["Project website: Glastir Monitoring and Evaluation Programme (GMEP)","ERAMMP website","Countryside Survey website"],"supplementalName":["Glastir Monitoring and Evaluation Programme (GMEP) website","Environment & Rural Affairs Monitoring and Modelling Programme website","Countryside Survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Landscape point feature data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Williams","Dunn","Quinn","Hassall"],"authorFullName":["Williams, R.","Dunn, A.","Quinn, C.","Hassall, C."],"authorGivenName":["R. ","A.","C."],"authorOrcid":["0000-0003-3706-4510","0000-0002-4855-1077","0000-0002-2085-0446","0000-0002-3510-0728"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18.\n\nData have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective viewpoints surrounding a research topic. The data provided are the final Q sort arrangements obtained from participants and provide the basis for further factor analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Williams","Dunn","Quinn","Hassall"],"fullName":["Williams, R.","Dunn, A.","Quinn, C.","Hassall, C."],"givenName":["R. ","A.","C.","Robert"],"identifier":"a9c314d8-8a87-4992-9677-d9705c380f10","incomingCitationCount":0,"keyword":["Invasive species","Invasive non-native species","wall lizard","Q methodology"],"keywordsOther":["Invasive non-native species","wall lizard","Q methodology"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"The Q set was developed from statements generated from several sources in direct response to (or pertaining to) the open question of ‘Do you have any thoughts or feelings about the presence of wall lizards in the UK?’ \n\nA total of 128 statements were collected, at which point no further original opinion/sentiment was found. A review process to fine tune the final Q set (in terms of reduction in number of statements and maintenance of plain language) was then undertaken. This revision process resulted in the construction of a final Q set consisting of 76 statements that provided a comprehensive and balanced coverage of the study topic.\n\nTwenty-six participants across seven stakeholder groups took part in the Q sorts in the summer of 2017.  The Q sort was administered either in person or online. ","metadataDate":"2026-11-05T14:32:00.000Z","orcid":["0000-0003-3706-4510","0000-0002-4855-1077","0000-0002-2085-0446","0000-0002-3510-0728"],"organisation":["University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a9c314d8-8a87-4992-9677-d9705c380f10","10.5285/a9c314d8-8a87-4992-9677-d9705c380f10","doi:10.5285/a9c314d8-8a87-4992-9677-d9705c380f10"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains response data from Q sort exercises investigating attitudes towards non-native lizards in the UK conducted in 2017-18.\n\nData have been collected using standard Q method techniques for combined qualitative and quantitative investigation into subjective…","state":"published","temporalExtentText":"Data collected from 2017 to 2018","title":"Q sort response data on stakeholder discourse and opinion towards a non-native lizard species (Podarcis muralis)","topic":["0/Invasive species/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated"],"authorFamilyName":["Berenguer","Rossi","Seixas","Barlow"],"authorFullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"authorGivenName":["E.","L. C.","M.M.M.","J."],"authorOrcid":["0000-0001-8157-8792"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of litter in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from January 2015 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires. ","documentType":"GEMINI_DOCUMENT","familyName":["Berenguer","Rossi","Seixas","Barlow"],"fullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","L. C.","M.M.M.","J.","Erika"],"identifier":"d01084b2-c3b1-4187-b2e7-b0827c738855","incomingCitationCount":0,"keyword":["Brazilian Amazon","Forest ecology","Litterfall","Forest fire"],"keywordsOther":["Brazilian Amazon","Forest ecology","Litterfall","Forest fire"],"licence":"Open government licence","lineage":"We sampled litter in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.  \n\nSix litterfall traps (50 x 50 cm; 0.25 m2) were installed in each plot, spaced 50 m apart. Traps were placed 1.20 m above the ground. Trap contents at each site were collected every two weeks. All samples were taken to the field lab and separated into six parts – leaves, flowers, fruits, seeds, wood, and rest (i.e. non-identifiable parts). Samples were then oven-dried at 80oC for 3 days before being and weighed to the nearest 0.01 g. \n","locations":["POLYGON((-55.011 -3.286, -55.011 -2.658, -54.449 -2.658, -54.449 -3.286, -55.011 -3.286))"],"metadataDate":"2026-11-05T14:39:17.000Z","orcid":["0000-0001-8157-8792"],"organisation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d01084b2-c3b1-4187-b2e7-b0827c738855","10.5285/d01084b2-c3b1-4187-b2e7-b0827c738855","doi:10.5285/d01084b2-c3b1-4187-b2e7-b0827c738855"],"resourceType":"Dataset","ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of litter in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests,…","state":"published","temporalExtentText":"Data collected from 2015 to 2018","title":"Litterfall production in human-modified forests of Eastern Amazonia","version":1.0,"view":["public","phtr"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}