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The database includes information about the plot location and parameters of the locality. \n\nThe purpose of this data collection was to determine whether the expression of functional traits in woody plants differs between the perturbation gradient and the relationship of the traits to ecosystem processes. This information is important for understanding the drivers of variation in forest resilience and the impacts of perturbation on ecosystem functioning. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. 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The study collected foliar and bark data from trees, including leaf carbon, nitrogen, phosphorus, calcium, magnesium, potassium, specific leaf area, leaf dry matter content, leaf thickness, leaf area, leaf fresh mass, leaf dry mass, wood mass dry, wood density, bark thickness, and wood volume fresh. In each plot, mature trees meeting certain criteria were selected, and from each selected tree a branch with leaves and a piece of wood were collected. The leaves were randomly selected and placed on an A4 size sheet, while the piece of wood was 10 cm long and between 1 and 2 cm in diameter. Each sample was labeled with the plot code and tree number for identification. All measurements were conducted according to the methodology described by Salgado-Negret et al. (2016). The study used various techniques to calculate these parameters and ensured data quality by calculating the average for each individual considering the replicas.","locations":["POLYGON((-75.55 4.9, -75.55 6.1, -73.16 6.1, -73.16 4.9, -75.55 4.9))"],"metadataDate":"2026-07-24T19:01:51.000Z","orcid":["0000-0002-3103-9878","0009-0009-3753-6304","0000-0002-9751-5339","0000-0002-3851-0714","0000-0002-8196-288X","0000-0002-6631-7962"],"organisation":["Universidad Nacional de Colombia","Fauna and Flora International","University of Tolima","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0da218a8-2882-4ee7-bb2a-50a51f7f4138","10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138","doi:10.5285/0da218a8-2882-4ee7-bb2a-50a51f7f4138"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/059yx9a68","https://ror.org/0325pd582","https://ror.org/011bqgx84","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains information on six functional traits of woody plants, including Leaf Area, Specific Leaf Area (SLA), Leaf Dry Matter Content (LDMC), Leaf Thickness (Lth), Wood Density (WD), Bark Thickness (BT). It also includes data on concentrations of C, N, P,…","state":"published","temporalExtentText":"Data collected from 2019 to 2022","title":"Functional traits of woody plants sampled in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2019-2022","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Vieno","Beck"],"authorFullName":["Sharps, K.","Vieno, M.","Beck, R."],"authorGivenName":["K.","M.","R."],"authorOrcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for the period spanning mid-April to mid-July, for the UK and the USA, for 2018.  \n","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Vieno","Beck"],"fullName":["Sharps, K.","Vieno, M.","Beck, R."],"funder":["Natural Environment Research Council","Global Environment Facility (GEF)","United Nations Environment Programme (UNEP)"],"givenName":["K.","M.","R."],"grant":["NE/R016429/1"],"identifier":"4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","incomingCitationCount":0,"keyword":["Surface ozone","EMEP model","ozone","grassland","air pollution"],"keywordsOther":["Surface ozone","EMEP model","ozone","grassland","air pollution"],"licence":"Open government licence","lineage":"The surface ozone data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.\nOutput data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.\n","locations":["POLYGON((-174.375 23.241, -174.375 71.301, 1.768 71.301, 1.768 23.241, -174.375 23.241))"],"metadataDate":"2026-07-24T21:19:52.000Z","orcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","doi:10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorFamilyName":["Perry","Lobo-Guerrero Villegas","Nemeth","Beaton","Stockan","Cottrell","Cavers"],"authorFullName":["Perry, A.","Lobo-Guerrero Villegas, J.P.","Nemeth, K.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Cavers, S."],"authorGivenName":["Annika","Juan Pablo","Krisztian","Joan K","Jenni A","Joan E","Stephen"],"authorOrcid":["0000-0002-7889-7597","0000-0001-9900-9010","0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","CEL"],"description":"This dataset contains raw and processed genotype data (using the PiSy50k genotyping array) for the economically and ecologically important tree species Scots pine (Pinus sylvestris) from an ongoing long term multisite, population-progeny, common garden experiment planted in Scotland, UK.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Lobo-Guerrero Villegas","Nemeth","Beaton","Stockan","Cottrell","Cavers"],"fullName":["Perry, A.","Lobo-Guerrero Villegas, J.P.","Nemeth, K.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Cavers, S.","Annika Perry"],"funder":["Natural Environment Research Council"],"givenName":["Annika","Juan Pablo","Krisztian","Joan K","Jenni A","Joan E","Stephen"],"grant":["NE/V019813/1"],"identifier":"d54da9aa-f5e6-44ed-b3ed-969dbd4723c1","incomingCitationCount":0,"keyword":["Evolutionary ecology","genetics","Scots pine","Pinus sylvestris","Caledonian pinewood","genetic diversity","genotype"],"keywordsOther":["genetics","Scots pine","Pinus sylvestris","Caledonian pinewood","genetic diversity","genotype"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"A multi-site field trial was established at three sites in Scotland in 2012 using five year old Scots pine trees. Each site contains eight families from each of 21 native Caledonian pinewood provenances. Two of the sites (FE and FS) have four randomised blocks and the other (FW) has three randomised blocks. Needle samples were collected from all live trees in the three field sites between 2020 and 2025. Needles were also collected from mother trees, from which seed were originally collected for the progeny-provenance trial, in 2007 during the cone collection.\n\nDNA was extracted using a Qiagen DNeasy 96 kit. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 20-40 ng/µl.\n\nGenotyping was done at the University of Bristol Genomics Facility (Bristol, UK) following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer's procedure using a Scots pine SNP array (PiSy50k, Kastally et al., 2022).\n\nRaw genotype files (.CEL) and processed genotype files (genotype calls performed using Axiom Analysis Suite software) are provided for both mother trees and trial trees.","metadataDate":"2026-07-29T12:58:07.000Z","orcid":["0000-0002-7889-7597","0000-0001-9900-9010","0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d54da9aa-f5e6-44ed-b3ed-969dbd4723c1","10.5285/d54da9aa-f5e6-44ed-b3ed-969dbd4723c1","doi:10.5285/d54da9aa-f5e6-44ed-b3ed-969dbd4723c1"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains raw and processed genotype data (using the PiSy50k genotyping array) for the economically and ecologically important tree species Scots pine (Pinus sylvestris) from an ongoing long term multisite, population-progeny, common garden experiment planted…","state":"published","title":"Long-term multisite Scots pine trial, Scotland: Genotyping data using the Scots pine single nucleotide polymorphism (SNP) array (PiSy50k)","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Cardiff University"],"authorFamilyName":["Durance","Feeley","Gutierrez-Canovas"],"authorFullName":["Durance, I.","Feeley, H.B.","Gutierrez-Canovas, C."],"authorGivenName":["I.","H.B.","C."],"authorOrcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049"],"authorRor":["https://ror.org/03kk7td41"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data consist of stream water chemistry for selected Welsh upland rivers. The sampling sites were located in sixty one small and medium catchments. Catchments were chosen from the Welsh Acid Water Surveys (WAWS) program (41 sites) and the Wye catchment (20 sites). Results for pH, alkalinity, conductivity and major cation and anion measurements are presented for the WAWS catchments. Results for pH, alkalinity, conductivity and major anion measurements are presented for the Wye catchment. Samples from the Wye catchment were collected in May 2012. Samples from the WAWS catchments were taken during the summer and autumn of 2012 and spring and summer of 2013.\n\nThe data were collected to characterise water chemistry variation along a gradient of aquatic biodiversity associated with different environmental settings for example land-use intensify and recovery from acidification. Dr Isabelle Durance was responsible for organising the surveys, Dr Hugh Feeley was in charge of collecting and preserving the water samples. Analysis of the water samples was carried out at the Forest Research Laboratories. The work was carried out under Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project (Grant reference NERC NE/J014818/1). DURESS was a project funded by the Natural Environment Research Council (NERC) Biodiversity and Ecosystem Service Sustainability (BESS) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Durance","Feeley","Gutierrez-Canovas"],"fullName":["Durance, I.","Feeley, H.B.","Gutierrez-Canovas, C."],"funder":["Natural Environment Research Council"],"givenName":["I.","H.B.","C.","Isabelle"],"grant":["NE/J014818/1"],"identifier":"d329ca18-c3d8-49f0-b2fd-5243d76dc650","incomingCitationCount":0,"keyword":["Wales","DURESS","aquatic organism","invertebrate","land use","acidity","benthic ecosystem"],"keywordsOther":["aquatic organism","invertebrate","land use","acidity","benthic ecosystem"],"keywordsPlace":["Wales"],"keywordsProject":["DURESS"],"licence":"Open government licence","lineage":"Filtered and unfiltered water samples were collected in situ using standardised procedures. Samples were then sent to the Forest Research Laboratory to be analysed for pH, alkalinity, conductivity, major anions and cations. Results were entered into an Excel spreadsheet. Data were exported as comma separated files for ingestion into the Environmental Information Data Centre (EIDC)\n","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-09-15T08:39:24.000Z","orcid":["0000-0002-4138-3349","0000-0003-0386-0586","0000-0002-6785-4049"],"organisation":["Cardiff University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d329ca18-c3d8-49f0-b2fd-5243d76dc650","10.5285/d329ca18-c3d8-49f0-b2fd-5243d76dc650","doi:10.5285/d329ca18-c3d8-49f0-b2fd-5243d76dc650"],"resourceType":"Dataset","rightsHolder":["Cardiff University"],"ror":["https://ror.org/03kk7td41","https://ror.org/04xw4m193"],"shortenedDescription":"These data consist of stream water chemistry for selected Welsh upland rivers. The sampling sites were located in sixty one small and medium catchments. Catchments were chosen from the Welsh Acid Water Surveys (WAWS) program (41 sites) and the Wye catchment (20 sites).…","state":"published","temporalExtentText":"Data collected from 2012 to 2013","title":"Water chemistry of Welsh upland rivers (2012-2013)","version":1.0,"view":["public","danor"]},{"altTitle":["LCM2017"],"availability":"Unknown","catalogue":"eidc","description":"Land Cover Map 2017 (LCM2017) represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.\n\nThese are one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","identifier":"c70f2c9a-b78c-4302-8577-8fc5499ea0f3","incomingCitationCount":0,"keyword":["Land cover","Mapping"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:02:40.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c70f2c9a-b78c-4302-8577-8fc5499ea0f3"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2017 (LCM2017) represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously…","state":"published","title":"Land Cover Map 2017","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Wang","Tomlinson","Carnell","Scheffler","Liska","Beck","Vieno"],"authorFullName":["Wang, Y.","Tomlinson, S.J.","Carnell, E.J.","Scheffler, J.","Liska, T.","Beck, R.","Vieno, M."],"authorGivenName":["Y.","S.J.","E.J. ","J.","T.","R.","M."],"authorOrcid":["0000-0002-0411-4860","0000-0002-3237-7596","0000-0003-0870-1955","0000-0002-7398-4237","0000-0001-9500-0633","0009-0005-9645-8001","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the UK on a 3x3 km2 resolution grid for years between 1960 and 2020.\n\nThe EMEP4UK model version used here is rv5.0, and the WRF model version is the 4.4.2. \n\nThis work was supported by the Natural Environment Research Council award number NERC (NE/R016429/1) as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Wang","Tomlinson","Carnell","Scheffler","Liska","Beck","Vieno"],"fullName":["Wang, Y.","Tomlinson, S.J.","Carnell, E.J.","Scheffler, J.","Liska, T.","Beck, R.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["Y.","S.J.","E.J. ","J.","T.","R.","M."],"grant":["NE/R016429/1"],"identifier":"40e30580-9191-45d8-8e99-21de3c048250","incomingCitationCount":0,"keyword":["Climate and climate change","EMEP","EMEP4UK","European Monitoring and Evaluation Programme","gas","aerosols","composition","flux","deposition","UK-SCAPE"],"keywordsOther":["EMEP","EMEP4UK","European Monitoring and Evaluation Programme","gas","aerosols","composition","flux","deposition","UK-SCAPE"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T21:14:45.000Z","orcid":["0000-0002-0411-4860","0000-0002-3237-7596","0000-0003-0870-1955","0000-0002-7398-4237","0000-0001-9500-0633","0009-0005-9645-8001","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-12-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/40e30580-9191-45d8-8e99-21de3c048250","10.5285/40e30580-9191-45d8-8e99-21de3c048250","doi:10.5285/40e30580-9191-45d8-8e99-21de3c048250"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides daily mean atmospheric compositions and fluxes of the UK on a 3x3…","state":"published","supplementalDescription":["Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. doi:10.5065/1dfh-6p97","National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6."," EMEP/CEIP 2023 Present state of emission data; https://www.ceip.at/webdab-emission-database/reported-emissiondata"," © Crown 2024 copyright Defra & DESNZ via naei.energysecurity.gov.uk licenced under the Open Government Licence (OGL).http://naei.defra.gov.uk","Nielsen, O. K., Plejdrup, M. S., Bruun, H. G., Gyldenkærne, S., & Christensen, J. H. (2020). MapEIre: National Mapping of Greenhouse Gas and Non-greenhouse Gas Emissions Sources Project. https://www.epa.ie/publications/research/air/Research_Report_317.pdf","Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre.","Tomlinson, S.J., Carnell, E.J., Levy, P., Williams, M., Vieno, M., Scheffler, J., Harrison, P.A., Lofts, S. (2023). Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1km resolution, 1750-2100. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/4b392dc0-0219-4494-8420-82e42b93b445"],"supplementalName":["The below datasets are used to drive the EMEP4UK model:","The Weather and Research forecast (WRF) Model: ","The National Centers for Environmental Prediction Final Reanalysis dataset:","The emissions used in the EMEP4UK model are derived from: ","Centre for Emission Inventories and Projections ","The UK National Atmospheric Emissions Inventory","The Republic of Ireland national emissions inventory ","Observational data used in the EMEP4UK model are derived from:","Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999","Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1km resolution, 1750-2100."],"temporalExtentText":"Data collected from 1960 to 2020","title":"European Monitoring and Evaluation Program Model for the UK (EMEP4UK) daily atmospheric composition and flux output data, UK, 1960-2020","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","jashun"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["D."],"identifier":"54dc0330-22d9-11e4-8c21-0800200c9a66","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((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:44:35.000Z","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/54dc0330-22d9-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats…","state":"published","title":"Land Cover Map 2007 v1.2 (1km dominant aggregate class, GB) Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter","Borneo Nature Foundation International","University of Palangka Raya","Yayasan Borneo Nature Indonesia","University of Oxford","James Hutton Institute"],"authorFamilyName":["Harrison","Brugues Sintes","Kusin","Katoppo","Marchant","Morrogh-Bernard","Nasir","Ripoll Capilla","Smith"],"authorFullName":["Harrison, M.E.","Brugues Sintes, P.","Kusin, K.","Katoppo, D.R.","Marchant, N.C.","Morrogh-Bernard, H.C.","Nasir, D.","Ripoll Capilla, B.","Salahudin","Smith, S.W."],"authorGivenName":["M.E.","P.","K.","D.R.","N. C.","H.C.","D.","B.","S. W."],"authorOrcid":["0000-0002-0729-8407","0000-0001-6019-0828","0000-0001-9396-6610"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/045n0ms44","https://ror.org/052gg0110","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Datasets consist of monitoring data on seedling survival and growth, both prior to (i.e., in the nursery) and after outplanting, collected between 2009 and 2016 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. The data include four data files, which provide processed summary data on survival and growth of seedling cohorts, plus the data on individual seedling survival and growth from which these summaries were derived, for both seedlings being raised in the nursery and following outplanting. Nursery data include monitoring datasets relating to seedlings acquired both from seeds and as wildlings, and for fertilised vs. unfertilised seedlings. Outplanting data include monitoring datasets from different treatments, including in previously burned vs. unburned areas, with and without fertiliser, and using conventional plastic polybags vs. organic baskets for planting. ","documentType":"GEMINI_DOCUMENT","familyName":["Harrison","Brugues Sintes","Kusin","Katoppo","Marchant","Morrogh-Bernard","Nasir","Ripoll Capilla","Smith"],"fullName":["Harrison, M.E.","Brugues Sintes, P.","Kusin, K.","Katoppo, D.R.","Marchant, N.C.","Morrogh-Bernard, H.C.","Nasir, D.","Ripoll Capilla, B.","Salahudin","Smith, S.W."],"funder":["The Orangutan Project","Arcus Foundation","Darwin Initiative","Save the Orangutan","Orangutan Land Trust","US Fish and Wildlife Service Great Apes Conservation Fund","Ocean Parks Conservation Foundation Hong Kong","European Outdoor Conservation Association","Rufford Small Grants For Nature","Taronga Zoo","European Association of Zoos and Aquaria","Fundacion Bioparc","UKRI Global Challenges Research Fund ","Singaporean Ministry of Education Academic Research Fund "],"givenName":["M.E.","P.","K.","D.R.","N. C.","H.C.","D.","B.","S. W."],"grant":["NE/T010401/1","MOE2018-T2-2-156"],"identifier":"23e48f2b-cdd9-49bf-8048-f17771d72d9b","incomingCitationCount":0,"keyword":["Southeast Asia","Indonesia","Field planting","Relative Growth Rate","Tropical peat-swamp forest","planting","survival","tropical forest"],"keywordsOther":["Field planting","Relative Growth Rate","Tropical peat-swamp forest","planting","survival","tropical forest"],"keywordsPlace":["Southeast Asia","Indonesia"],"licence":"Open government licence","lineage":"Data were collected from the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau National Park, Central Kalimantan, Indonesia. This is an ombrogenous, non-masting peat-swamp forest, which experienced selective logging over a ~40 year period by timber concessions until 1997 and illegal hand-loggers until 2004. This past illegal logging was associated with creation of numerous small canals, causing peat drainage and making the peatland vulnerable to fire during the dry season. Tree planting has thus been trialled to accelerate reforestation, involving both growing seedlings in nursery conditions and subsequent outplanting, to test the performance (survival and growth) of different native tree species under different outplanting conditions (treatments).\n\nRegarding the nursery datasets, seeds and wildlings were sourced from adjacent relatively undisturbed forest. Seeds were collected from the ground, with damaged seeds discarded, and were germinated in the nursery. After reaching 0.5-1 cm in height, seedlings were transferred to plastic, peat-filled polybags and given a unique numbered tag to facilitate monitoring. Watering and weeding were conducted when necessary. Seedlings were generally grouped into species cohorts on entry into the nursery. Fertiliser was added for some seedling batches (typically 6-9 g of Dekastar Plus: 13% N, 13% P2O5 and 13% K2O, plus micro-elements B, Cu, Mn, Mo and Zn), with seedlings thus categorised as non-fertilised, fertilised or unknown. Nursery data were collected between December 2009 and February 2014 for 40 native tropical peat-swamp forest species from 29 genera. Monitoring involved recording whether a seeding was alive and measuring the height in cm from the main stem base to the top of the highest leaf/branch. Nursery data cohorts were defined as groups of the same species, seedling source (seedling or wildling) and treatment (fertilised, non-fertilised or unknown) entering the nursery in a given month, with the resulting dataset consisting of a total 97 seedling cohorts.\n\nRegarding the outplanting datasets, six distinct small-scale trials were implemented, producing a combination of species mixes (total 24 species; mean 7, range 2-11 species per trial), use of seedlings vs. wildlings, treatments and site conditions. See the Supplementary Information file for full details of planting trials. All species used were native to tropical peat-swamp forests in the region, with outplanted seedlings sourced mainly from the above seedling nursery. No root pruning was conducted. Where plastic polybags were used to grow seedlings in the nursery, these were removed upon outplanting, taking care to minimize root disturbance. Two trials included planting in weaved organic baskets (referred to by the local name “bakul” herein), typically measuring 20 cm height and 15 cm diameter, which were not removed prior to outplanting. Outplanted seedling monitoring involved recording whether a seeding was alive and measuring height in cm from the main stem base to the top of the highest leaf/branch. Seedling cohorts were defined as the same species, site condition, treatment, and plot or transect, resulting in a total 156 outplanted seedling cohorts.","locations":["POLYGON((113.901 -2.321, 113.901 -2.306, 113.913 -2.306, 113.913 -2.321, 113.901 -2.321))"],"metadataDate":"2026-09-15T08:37:44.000Z","orcid":["0000-0002-0729-8407","0000-0001-6019-0828","0000-0001-9396-6610"],"organisation":["University of Exeter","Borneo Nature Foundation International","University of Palangka Raya","Yayasan Borneo Nature Indonesia","University of Oxford","James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/23e48f2b-cdd9-49bf-8048-f17771d72d9b","10.5285/23e48f2b-cdd9-49bf-8048-f17771d72d9b","doi:10.5285/23e48f2b-cdd9-49bf-8048-f17771d72d9b"],"resourceType":"Dataset","rightsHolder":["University of Exeter","Yayasan Borneo Nature Indonesia","University of Palangka Raya"],"ror":["https://ror.org/03yghzc09","https://ror.org/045n0ms44","https://ror.org/052gg0110","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"Datasets consist of monitoring data on seedling survival and growth, both prior to (i.e., in the nursery) and after outplanting, collected between 2009 and 2016 from the tropical peatland of the Natural Laboratory of Peat-swamp Forest special research zone in Sebangau…","state":"published","temporalExtentText":"Data collected from 2009 to 2016","title":"Seedling survival and growth in nursery and outplanting in Sebangau National Park, Central Kalimantan, Indonesia, 2009-2016","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["An Giang University"],"authorFamilyName":["Nguyen","Mai","Tran"],"authorFullName":["Nguyen, T.","Nguyen, L.","Mai, T.","Tran, C."],"authorGivenName":["Tanh","Lan","Thang","Chau"],"authorOrcid":["0000-0002-0847-4185","0009-0008-1640-6407"],"authorRor":["https://ror.org/023pm6532"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)"],"description":"This dataset provides a calculation of the habitat risk index of mangrove forest in Soc Trang, Ca Mau, Kien Giang, in the Mekong Delta, Vietnam, in 2017. The percentage of area for no, low, medium, and high risk are provided for each stressor across the 3 provinces. Stressors across the three provinces are categorised as erosion, fishing near shore, mangrove exploitation, drought and pollution. For Ca Mau, additional stressors include fishing near shore, erosion and pollution, for Kien Giang, stressors include erosion, and for Soc Trang, stressors include deforestation, fishing near shore, drought and erosion. The risk and intensity of each stressor is weighted by the frequency of the stressor's disturbance, the rate of land area change, change in structure, management effectiveness.","documentType":"GEMINI_DOCUMENT","familyName":["Nguyen","Mai","Tran"],"fullName":["Nguyen, T.","Nguyen, L.","Mai, T.","Tran, C.","Tanh Nguyen"],"funder":["Natural Environment Research Council"],"givenName":["Tanh","Lan","Thang","Chau"],"grant":["NE/S008926/1"],"identifier":"75179e35-5f42-4335-ac71-883258e8285a","incomingCitationCount":0,"keyword":["Environmental survey","Land cover","Risk assessment","Coastal","Mangrove","InVEST model","Mekong Delta","Vietnam"],"keywordsOther":["Risk assessment","Coastal","Mangrove","InVEST model","Mekong Delta","Vietnam"],"keywordsTheme":["Environmental survey","Land cover"],"licence":"Open government licence","lineage":"The data were gathered primarily from questionnaire-based interviews. For the map depicting the distribution of influencing factors, the information is stored in vector (.shp) format.  The data collected and processed were used as inputs for the Habitat Risk Assessment (HRA) model. Interviews and surveys were conducted in the mangrove forest areas of Soc Trang, Ca Mau, and Kien Giang.  Onsite surveys at accessible locations, such as erosion points and forest areas affected by drought and water scarcity were also carried out in Soc Trang.\n\nThe exposure and consequence criteria are rated on habitat resilience and stressors. Habitat resilience risk level includes (on a Likert scale) natural mortality, recruitment, connectivity and recovery time. Stressors include the frequency of disturbance, change in area rating, change in structure rating, temporal overlap rating, management effectiveness and intensity rating.  Ratings (0-3) indicate the severity of each factor's impact, with 0 = none and 3 = high. These scores, combined with weights and data quality, feed into the exposure and consequence calculations that determine overall habitat risk. The criteria column is the backbone of the scoring system: it informs the model which ecological or management factors are being considered in the risk calculation. By adjusting ratings, data quality, and weights,  the risk assessment can be adjusted to reflect local knowledge and priorities.","locations":["POLYGON((104.274 8.471, 104.274 10.961, 107.264 10.961, 107.264 8.471, 104.274 8.471))"],"metadataDate":"2026-07-25T06:53:01.000Z","orcid":["0000-0002-0847-4185","0009-0008-1640-6407"],"organisation":["An Giang University","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-07-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75179e35-5f42-4335-ac71-883258e8285a","10.5285/75179e35-5f42-4335-ac71-883258e8285a","doi:10.5285/75179e35-5f42-4335-ac71-883258e8285a"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/023pm6532","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides a calculation of the habitat risk index of mangrove forest in Soc Trang, Ca Mau, Kien Giang, in the Mekong Delta, Vietnam, in 2017. The percentage of area for no, low, medium, and high risk are provided for each stressor across the 3 provinces.…","state":"published","supplementalDescription":["The risk was estimated based on the Habitat Risk Assessment module of the InVEST model, further details can be accessed here."],"title":"Habitat risk score of mangrove areas in the Vietnamese Mekong Delta calculated using the InVEST model, 2017","topic":["0/Environmental survey/","0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","ICAR-Indian Agricultural Research Institute"],"authorFamilyName":["Cowan","Bhatia","Jain","Drewer"],"authorFullName":["Cowan, N.","Bhatia, A.","Jain, N.","Drewer, J."],"authorGivenName":["N.","A.","J."],"authorOrcid":["0000-0002-7473-7916","0000-0001-6387-7836","0000-0002-6263-6341"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains rice crop biomass, and greenhouse gas flux measurements from five plots exposed to different fertiliser treatments and continuous and intermittent irrigation protocols. \n\nThe gas flux data include methane, nitrous oxide, and ammonia, which were measured using chamber methodologies. The dataset also includes irrigation protocols and site environmental properties such as soil pH, bulk density, and texture. Agronomic yields are reported in terms of rice grain and total crop harvests as well as total nitrogen use efficiency.\n\nThis dataset was created as part of an experiment carried out in rice paddies at the Indian Agricultural Research Institute (Delhi, India) in 2016. The experiment aimed to compare the environmental impacts of continuous and intermittent flooding of rice in relation to methane, nitrous oxide and ammonia emissions and the implications for nitrogen use efficiency and yield. ","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Bhatia","Jain","Drewer"],"fullName":["Cowan, N.","Bhatia, A.","Jain, N.","Drewer, J."],"funder":["Biotechnology and Biological Sciences Research Council","Natural Environment Research Council","National Initiative for Climate Resilient Agriculture Project "],"givenName":["N.","A.","J."],"grant":["BB/N013492/1","NE/S009019/1","NICRA-IARI/12-115"],"identifier":"46aafc00-6742-41df-b8be-09a8d5d86610","incomingCitationCount":0,"keyword":["Agriculture","greenhouse gas","fertiliser","nitrogen","urea","rice paddy","irrigation"," methane","ammonia","nitrous oxide","crop production"],"keywordsOther":["greenhouse gas","fertiliser","nitrogen","urea","rice paddy","irrigation"," methane","ammonia","nitrous oxide","crop production"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Field data was collected in India at the experimental farm of the Indian Agricultural Research Institute, New Delhi, India. Data was passed to UKCEH in the UK for further analysis.\n\nRice yields were determined from one square meter of area in each plot in triplicate. The total nitrogen content of the crops was estimated using the Kjeldahl method, for more information please see the supporting documentation. \n\nCollection of greenhouse gas samples was carried out using the static chamber technique. Concentrations of methane (CH4) in the gas samples was analysed using a gas chromatograph (GC) fitted with a flame ionization detector (FID)(GC 8A Series, Shimadzu) and nitrogen oxide samples were analysed using a GC with electron capture detector (ECD)(Hewlett Packard 5890 Series II).\n\nEmissions of gas were measured using static chambers. Air from chambers was bubbled through 0.01N boric acid solution containing mixed indicator (methyl red and bromocresol green) using a vacuum pump with a flow rate of 3 L/min for 3.5 minutes. The volatilised ammoniacal nitrogen was determined by the titration of boric acid solution with 0.001N sulphuric acid.","locations":["POLYGON((77.161 28.659, 77.161 28.659, 77.161 28.659, 77.161 28.659, 77.161 28.659))"],"metadataDate":"2026-07-24T21:17:21.000Z","orcid":["0000-0002-7473-7916","0000-0001-6387-7836","0000-0002-6263-6341"],"organisation":["UK Centre for Ecology & Hydrology","ICAR-Indian Agricultural Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/46aafc00-6742-41df-b8be-09a8d5d86610","10.5285/46aafc00-6742-41df-b8be-09a8d5d86610","doi:10.5285/46aafc00-6742-41df-b8be-09a8d5d86610"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains rice crop biomass, and greenhouse gas flux measurements from five plots exposed to different fertiliser treatments and continuous and intermittent irrigation protocols. \n\nThe gas flux data include methane, nitrous oxide, and ammonia, which were…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Experimental crop biomass and gas flux (methane, nitrous oxide, and ammonia) data from continuous and intermittently flooded rice fields under different fertiliser treatments, India, July-October, 2016","topic":["0/Agriculture/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Royal Botanic Gardens, Kew ","Instituto de Investigaciones de la Amazonía Peruana (IIAP)","Wildlife Conservation Society Peru (WCS)","Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP)"],"authorFamilyName":["Honorio Coronado","Grandez Rios","Isasi-Catalá","Ramirez Chávez"],"authorFullName":["Honorio Coronado, E.N.","Grandez Rios, J.M.","Isasi-Catalá, E.","Ramirez Chávez, J."],"authorGivenName":["Euridice N","Julio M","Emiliana","Jacqueline"],"authorOrcid":["0000-0003-2314-590X","0000-0001-9152-1167"],"authorRor":["https://ror.org/00ynnr806","https://ror.org/010ywy128"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the abundance of Mauritia flexuosa sampled in palm swamps managed by the communities of Veinte de Enero and Parinari in Loreto, Peru. Fieldwork was undertaken in August and September 2022 and in August 2023. The data includes abundance data from established 40 forest plots, each 20 m × 100 m, with 5 to 13 plots per management area to quantify the ecological health of each site. In each plot, all individuals of M. flexuosa ≥0.4 m tall were counted and classified into three size classes: short saplings (0.4-1.49 m total height), tall saplings (≥1.5 m total height and without stem or with stem height <1.3 m), and pole stems (≥4 m total height and with stem height ≥1.3 m). For each pole stem, life stage as juvenile (<15 m total height), subadult (≥15 m total height without flowers or fruits), or male/female adult (≥15 m total height with inflorescences or infructescences) was recorded. Sex, the number of racemes with fruits for each female adult individual, and peat thickness were also measured.  M. flexuosa populations were assessed to see if they can recover following the introduction of climbing instead of felling the palms for fruit harvesting. \n\nThe dataset was collected in collaboration with the Instituto de Investigaciones de la Amazonia Peruana (IIAP), the Wildlife Conservation Society (WCS), and the Servicio Nacional de Áreas Naturales Protegidas del Perú (SERNANP). This work was supported by the Natural Environment Research Council (Grants NE/V018760/1 and NE/V018760/2).","documentType":"GEMINI_DOCUMENT","familyName":["Honorio Coronado","Grandez Rios","Isasi-Catalá","Ramirez Chávez"],"fullName":["Honorio Coronado, E.N.","Grandez Rios, J.M.","Isasi-Catalá, E.","Ramirez Chávez, J.","Euridice Nora Honorio Coronado"],"funder":["Natural Environment Research Council"],"givenName":["Euridice N","Julio M","Emiliana","Jacqueline"],"grant":["NE/V018760/1","NE/V018760/2"],"identifier":"6d116530-2c6a-4f28-8d42-65100a582ca1","incomingCitationCount":0,"keyword":["Environmental survey","Phenology","sustainable forest management","natural regeneration","fruit","Mauritia flexuosa"],"keywordsOther":["sustainable forest management","natural regeneration","fruit","Mauritia flexuosa"],"keywordsTheme":["Environmental survey","Phenology"],"licence":"Open government licence","lineage":"Location of each corner of the plot was recorded using a handheld GPS. Fieldwork was undertaken in August and September 2022 and August 2023. The census was carried out before fruit harvesting, except in San Juan, where fruit harvesting had begun a few days earlier. In each plot, we counted all individuals of M. flexuosa ≥0.4 m tall and classified them into three size classes: short saplings (0.4-1.49 m total height), tall saplings (≥1.5 m total height and without stem or with stem height <1.3 m), and pole stems (≥4 m total height and with stem height ≥1.3 m). All seedlings <0.4 m were counted in a subplot of 5 m × 100 m. For each pole stem, we recorded the life stage as juvenile (<15 m total height), subadult (≥15 m total height without flowers or fruits), or male/female adult (≥15 m total height with inflorescences or infructescences). The sex of each adult was assessed by observing reproductive structures either on the palms using binoculars or on the ground around the base of the stem. We counted the number of racemes with fruits for each female adult individual. Peat thickness was measured in the centre of each plot using a stick. Peat was identified in the field as a substrate consisting of predominantly wet, partially decomposed organic matter of mid to dark brown colour and at least 30 cm thick. Total height of saplings was estimated using a stick with marks at 0.4 and 1.5 m, while the total height of pole stems was measured using a Suunto clinometer. Binoculars (Bushnell 40X60) were used to determine the sex of adult palms in the field. A protocol to identify the different palm sizes was developed to ensure consistency in data collection among field team members. Sites were selected with local community members implementing the management plans and were checked against Landsat imagery in the field.","locations":["POLYGON((-74.517 -4.9, -74.517 -4.583, -73.8 -4.583, -73.8 -4.9, -74.517 -4.9))"],"metadataDate":"2026-09-15T07:36:47.000Z","orcid":["0000-0003-2314-590X","0000-0001-9152-1167"],"organisation":["Royal Botanic Gardens, Kew ","Instituto de Investigaciones de la Amazonía Peruana (IIAP)","Wildlife Conservation Society Peru (WCS)","Servicio Nacional de Áreas Naturales Protegidas por el Estado (SERNANP)","Royal Botanic Gardens, Kew","NERC EDS Environmental Information Data Centre","University of St Andrews"],"publicationDate":"2026-06-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d116530-2c6a-4f28-8d42-65100a582ca1","10.5285/6d116530-2c6a-4f28-8d42-65100a582ca1","doi:10.5285/6d116530-2c6a-4f28-8d42-65100a582ca1"],"resourceType":"Dataset","rightsHolder":["University of St Andrews","Royal Botanic Gardens, Kew"],"ror":["https://ror.org/00ynnr806","https://ror.org/010ywy128","https://ror.org/04xw4m193","https://ror.org/02wn5qz54"],"shortenedDescription":"This dataset contains information on the abundance of Mauritia flexuosa sampled in palm swamps managed by the communities of Veinte de Enero and Parinari in Loreto, Peru. Fieldwork was undertaken in August and September 2022 and in August 2023. The data includes abundance…","state":"published","supplementalDescription":["Honorio Coronado, E. N., Grández Rios, J., del Águila Pasquel, J., Flores Llampazo, G., Córdova Oroche, C. J., Reyna Huaymacari, J., Hidalgo Pizango, C. G., Freitas Alvarado, L., Pipa Murayari, U., Isla Reátegui, G., López Álvarez, C., Loja Aleman, E., Isasi‐Catalá, E., Gutierrez‐Sotelo, J., Draper, F. C., del Aguila Villacorta, M., Baker, T. R., del Castillo Torres, D., de la Cruz Gamarra, K., ... Roucoux, K. H. (2025). Long‐term interventions by conservation and development projects support successful recovery of tropical peatlands in Amazonia. People and Nature, 7(4), 871-886."],"temporalExtentText":"Data collected from 2022 to 2023","title":"Abundance of Mauritia flexuosa from managed palm swamp sites in Loreto, Peru, 2022-2023","topic":["0/Environmental survey/","0/Phenology/"],"version":1.0,"view":["public","matwig","jashun"]},{"authorAffiliation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research"],"authorFamilyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"authorFullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"authorGivenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"authorOrcid":["0000-0001-6498-043X","0000-0001-6855-9562","0000-0001-5732-8080","0000-0001-7375-1460","0000-0001-8778-4394","0000-0003-1519-3442","0000-0002-5896-756X","0000-0001-5390-9136","0000-0002-2989-2001","0000-0001-9514-7053"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.  Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population).  \n\nPlease see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details.","documentType":"GEMINI_DOCUMENT","familyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"fullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"funder":["Natural Environment Research Council"],"givenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"grant":["NE/S002847/1"],"identifier":"710fc65c-87eb-4932-9d8e-dc8328742232","incomingCitationCount":0,"keyword":["Mekong River Basin","Hydrology","sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsOther":["sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsPlace":["Mekong River Basin"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data are modelled outputs from the integrated catchment (INCA) models, INCA-N for nitrate related water quality, and INCA-P for phosphorus related water quality.  Please see supporting documentation for details.  ","locations":["POLYGON((95.591 8.446, 95.591 34.191, 109.447 34.191, 109.447 8.446, 95.591 8.446))"],"metadataDate":"2026-07-25T06:51:12.000Z","orcid":["0000-0001-6498-043X","0000-0001-6855-9562","0000-0001-5732-8080","0000-0001-7375-1460","0000-0001-8778-4394","0000-0003-1519-3442","0000-0002-5896-756X","0000-0001-5390-9136","0000-0002-2989-2001","0000-0001-9514-7053"],"organisation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/710fc65c-87eb-4932-9d8e-dc8328742232","10.5285/710fc65c-87eb-4932-9d8e-dc8328742232","doi:10.5285/710fc65c-87eb-4932-9d8e-dc8328742232"],"resourceType":"Dataset","rightsHolder":["University of Southampton","University of Oxford"],"ror":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.…","state":"published","supplementalDescription":["Whitehead, P.G., Jin, L., Bussi, G., Voepel, H.E., Darby, S.E., Vasilopoulos, G., Manley, R., Rodda, H., Hutton, C., Hackney, C., Pham Dang Tri, V., & Hung, N.N. (2019). Water quality modelling of the Mekong River basin: Climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta. Science of The Total Environment, 673, 218-229"],"temporalExtentText":"Data collected from 2018 to 2098","title":"Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model","topic":["0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Corporación COL-TREE","Universidad de Antioquia","University of Exeter"],"authorFamilyName":["Restrepo","Villegas","Mercado"],"authorFullName":["Restrepo, Z.","Villegas, J.C.","Mercado, L.M."],"authorGivenName":["Zorayda","Juan Camio","Lina M"],"authorOrcid":["0000-0002-3213-9985","0000-0001-5048-921X","0000-0003-4069-0838"],"authorRor":["https://ror.org/03bp5hc83","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset compiles leaf-level structural trait and tree allometric measurements collected along a tropical elevational gradient in the Colombian Andes across two common garden plantations with contrasting mean annual temperatures (MAT) (13.7 °C, 22.1 °C, and 25.5°C). Experimental sites have been named after their MAT. Sampling included trees from 15 dominant tree species at the 13.7 °C site, 10 species at the 22.1 °C site, and 4 species at the 25.5 °C site.\nAt each experimental site, 360 juvenile trees (1-2 years old) from 15 dominant Andean species (11 montane and 4 lowland species) were planted in 2018/2019. All trees were planted in common soils originating from a high-elevation site and were regularly irrigated; By 2023, only 10 and 4 species remained at the 22.1 and 25.5 °C sites, respectively.","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo","Villegas","Mercado"],"fullName":["Restrepo, Z.","Villegas, J.C.","Mercado, L.M.","Zorayda Restrepo Correa"],"funder":["Natural Environment Research Council"],"givenName":["Zorayda","Juan Camio","Lina M"],"grant":["NE/X001172/1"],"identifier":"fd793ac1-d990-4866-8586-3af7daced6dd","incomingCitationCount":0,"keyword":["Climate and climate change","Biodiversity","tropical forest","andean elevation gradient","common garden","allometry","juvenile tree","growth","leaf traits"],"keywordsOther":["tropical forest","andean elevation gradient","common garden","allometry","juvenile tree","growth","leaf traits"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"This collection of datasets was generated from field measurements conducted in common garden plantations established along an elevational gradient in the Colombian Andes between 2018 and 2019 across three experimental sites. Sites have been named after their mean annual temperatures (MAT) and are characterized as follows: 13.7 °C MAT site (99th percentile temperature, T99=21°C; annual precipitation=2774 mm; elevation=2452 m.a.s.l., latitude=5.513235 N and longitude=-75.67725 W ), 22.1°C MAT site (T99=33°C; annual precipitation=2045 mm; elevation=1326 m.a.s.l., latitude=5.641699 N and longitude=-75.685982 W), and 25.5°C MAT site; T99=38°C; annual precipitation=2298 mm; elevation=736 m.a.s.l., latitude=5,844349 N and longitude=-75.71034 W).\nAt each experimental site, 360 juvenile trees (1-2 years old) from 15 dominant Andean species (11 montane and 4 lowland species) were planted. Each plantation was arranged in four 600 m² plots, each containing six 94 m² blocks. Each block included one individual of each of the 15 study species, planted 2.5 m apart. Six individuals per species were planted in each plot, resulting in a total of 24 individuals per species per site. Trees were randomly allocated within blocks and plots. All trees were planted in in common homogenized soil conditions of high elevation origin and were irrigated when no rainfall occurred for two consecutive days. By October 2023 only 10 and 4 species remained at the 22.1 and 25.5 °C sites, respectively.\nWithin each plot at each site, all trees were tagged with a unique identification code. Data were recorded in an Excel file on the same day that the samples were collected.\nDuring each census, tree diameter, health status, survival, number of branches, number of leaves, and leaf structural traits were recorded.","locations":["POLYGON((-75.743 5.483, -75.743 5.869, -75.605 5.869, -75.605 5.483, -75.743 5.483))"],"metadataDate":"2026-10-13T15:26:13.000Z","orcid":["0000-0002-3213-9985","0000-0001-5048-921X","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","Universidad de Antioquia","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fd793ac1-d990-4866-8586-3af7daced6dd","10.5285/fd793ac1-d990-4866-8586-3af7daced6dd","doi:10.5285/fd793ac1-d990-4866-8586-3af7daced6dd"],"resourceType":"Dataset","rightsHolder":["University of Exeter","Corporación COL-TREE"],"ror":["https://ror.org/03bp5hc83","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset compiles leaf-level structural trait and tree allometric measurements collected along a tropical elevational gradient in the Colombian Andes across two common garden plantations with contrasting mean annual temperatures (MAT) (13.7 °C, 22.1 °C, and 25.5°C).…","state":"published","temporalExtentText":"Data collected from 2023 to 2024","title":"Leaf structural traits and allometry of juvenile trees across temperature treatments in an experimental plantation in the Colombian Andes, 2023-2024","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Leeds","Norwegian Institute for Nature Research","Swansea University"],"authorFamilyName":["Li","Coste","Newton","Yuan","Fowler","Sait"],"authorFullName":["Li, D.","Coste, C.F.D.","Newton, J.","Yuan, C.","Fowler, M.S.","Sait, S.M."],"authorGivenName":["Dongbo","Christophe F.D.","James","Chenggui","Mike S.","Steven M."],"authorOrcid":["0000-0003-0471-7917","0000-0003-3680-5049","0000-0003-0486-5450","0000-0003-1544-0407","0000-0002-7208-8617"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/04aha0598","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains population and trait  dynamic and life history data of the host organism Indian meal moth Plodia interpunctella, and its parasitoide wasp Venturia canescens in response to temperature changes, from an 18-month microcosm experiment.  Variables in this dataset include weekly dead adult count of hosts or parasitoids, leg length (proxy to adult body size), and multi-variate life history measures (survival, development time, sizes). During the experiment, lines of hosts, with or without parasitoids, were exposed to gradual increases in temperature at either +2 or +4 degrees celsius over 18 months, in the presence or absence of stochastic fluctuations. This dataset was created as part of a study to  investigate the impact of long-term climate warming on generational multispecies interactions, The data will be beneficial for any studies related to population cycles, long-term dynamics, density-dependence responses and climate change projection.","documentType":"GEMINI_DOCUMENT","familyName":["Li","Coste","Newton","Yuan","Fowler","Sait"],"fullName":["Li, D.","Coste, C.F.D.","Newton, J.","Yuan, C.","Fowler, M.S.","Sait, S.M.","Mike S. Fowler","Steve M. Sait"],"funder":["Natural Environment Research Council"],"givenName":["Dongbo","Christophe F.D.","James","Chenggui","Mike S.","Steven M."],"grant":["NE/W006731/1"],"identifier":"e5958a3f-af7a-4d90-abd7-eeaba98aca8b","incomingCitationCount":0,"keyword":["Climate and climate change","long-term experiment","global warming"],"keywordsOther":["long-term experiment","global warming"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"Data were collected by manually removing and counting dead adults from the microcosm experiment. The following well-established laboratory protocols were used to ensure minimum sampling errors: \n1) A small insect hoover tube was used to separate live adults from dead adults prior to the counting procedure. \n2) Dead adults were picked using forecepts and the removed dead insects were counted using a hand tally counter.\n3) All fragments of dead insects were cleaned ensuring no duplicated counts. \n4) The side and edge of the microcosms were checked by the second person ensuring no missing counts each week.\n5) Live adults in the hoover tube were placed back to the  microcosm after counting.","metadataDate":"2026-07-25T14:49:54.000Z","orcid":["0000-0003-0471-7917","0000-0003-3680-5049","0000-0003-0486-5450","0000-0003-1544-0407","0000-0002-7208-8617"],"organisation":["University of Leeds","Norwegian Institute for Nature Research","Swansea University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e5958a3f-af7a-4d90-abd7-eeaba98aca8b","10.5285/e5958a3f-af7a-4d90-abd7-eeaba98aca8b","doi:10.5285/e5958a3f-af7a-4d90-abd7-eeaba98aca8b"],"resourceType":"Non-geographic dataset","rightsHolder":["Swansea University","University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04aha0598","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains population and trait  dynamic and life history data of the host organism Indian meal moth Plodia interpunctella, and its parasitoide wasp Venturia canescens in response to temperature changes, from an 18-month microcosm experiment.  Variables in…","state":"published","title":"Population and trait dynamics of hosts and parasitoids from an 18-month microcosm experiment under gradually increasing temperature to plus 2 or 4 degrees Celsius","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Edinburgh","University of Aberdeen","James Hutton Institute","Scotland's Rural College","Wageningen University & Research","Cranfield University","University of Bristol","Newcastle University","University of Stirling","University of Vermont"],"authorFamilyName":["Myrgiotis","Slevin","Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"authorFullName":["Myrgiotis, V.","Slevin, D.","Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"authorGivenName":["V.","D.","S.H.","M.","P.","J.","C.","S.","F.","B.","A.","L."],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/016476m91","https://ror.org/03rzp5127","https://ror.org/044e2ja82","https://ror.org/04qw24q55","https://ror.org/05cncd958","https://ror.org/0524sp257","https://ror.org/01kj2bm70","https://ror.org/045wgfr59","https://ror.org/0155zta11"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Global spatial data on yields of wheat, sugarcane and maize at 0.25 and 0.5 degrees resolution for 2000-2014. Annual data on wheat, sugarcane and maize yield have been extracted from agricultural statistics, which are recorded annually at regional and national scale depending on the country. The yield data were spatially disaggregated to produce gridded maps (0.25 and 0.5 degrees spatial resolution) of yields per crop type. The earthstat dataset, which provides gridded data on crop distribution (i.e. a crop mask for 2000q), was used to obtain information on the spatial distribution of wheat, sugarcane and maize across the world. The spatial disaggregation process was repeated for every year between 2000 and 2014. The data were produced to constrain agro-ecosystem carbon cycling estimates used in large-scale atmospheric CO2 inversion studies and to be used as inputs in agro-ecosystem biogeochemistry models. The data are provided in netcdf4 (.nc) format.","documentType":"GEMINI_DOCUMENT","familyName":["Myrgiotis","Slevin","Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"fullName":["Myrgiotis, V.","Slevin, D.","Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"funder":["Natural Environment Research Council"],"givenName":["V.","D.","S.H.","M.","P.","J.","C.","S.","F.","B.","A.","L."],"grant":["NE/P019455/1"],"identifier":"3fa5921b-244a-4944-ab90-e690dbc05a7e","incomingCitationCount":0,"keyword":["Crop yields","maize","wheat","sugarcane","soil","greenhouse gas","agricultural ecology"],"keywordsOther":["soil","greenhouse gas","agricultural ecology"],"keywordsTheme":["Crop yields","maize","wheat","sugarcane"],"licence":"Open government licence","lineage":"The data were produced by spatially disaggregating annual agricultural statistics-based estimates of harvest yields for wheat, maize and sugarcane. Annual yield data for wheat, maize and sugarcane were collected from national and international institutions (e.g. Eurostat, USDA, and FAO). This information was (1) combined with gridded data on wheat, sugarcane and maize distribution obtained from the earthstat dataset in order to (2) to produce gridded yield information across the world. Where subnational scale yield data were available (i.e. country, state, region-specific value provided by e.g. Eurostat and USDA) they were used. Where subnational yield data were not available the national average was used. Where no data were available no crop yield estimates have been added to the final gridded dataset.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T20:41:34.000Z","organisation":["University of Edinburgh","University of Aberdeen","James Hutton Institute","Scotland's Rural College","Wageningen University & Research","Cranfield University","University of Bristol","Newcastle University","University of Stirling","University of Vermont","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3fa5921b-244a-4944-ab90-e690dbc05a7e","10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e","doi:10.5285/3fa5921b-244a-4944-ab90-e690dbc05a7e"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/016476m91","https://ror.org/03rzp5127","https://ror.org/044e2ja82","https://ror.org/04qw24q55","https://ror.org/05cncd958","https://ror.org/0524sp257","https://ror.org/01kj2bm70","https://ror.org/045wgfr59","https://ror.org/0155zta11","https://ror.org/04xw4m193"],"shortenedDescription":"Global spatial data on yields of wheat, sugarcane and maize at 0.25 and 0.5 degrees resolution for 2000-2014. Annual data on wheat, sugarcane and maize yield have been extracted from agricultural statistics, which are recorded annually at regional and national scale…","state":"published","temporalExtentText":"Data collected from 2000 to 2014","title":"Globally available land for soil-based greenhouse gas removal practices for 2000-2014","version":1.0,"view":["public","crimar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Sowerby","Emmett"],"authorFullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"authorGivenName":["S.","A.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes manual measurements in centimetres from the surface of the soil of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile down to bedrock. Measurements were taken, usually every two weeks, using a tape measure and head torch to assist in seeing the water level in the tube. Data was collected by CEH staff and PhD students trained in the use of the methods. 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 20-30 years. Data are available from May 2009 to March 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Sowerby","Emmett"],"fullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"givenName":["S.","A.","B.A.","Sabine"],"identifier":"029c060d-a061-4e27-96ff-c0826351e7e3","incomingCitationCount":0,"keyword":["Climate and climate change","monthly"],"keywordsOther":["monthly"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data was collected manually by measuring with a tape measure the depth of water table, accessible via water permeable pipes installed down to the bedrock within the soil profile (maximum depth 39cm). Data was written on fieldsheets in the field, then manually entered into the raw data master file on return to the office.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-24T18:52:40.000Z","orcid":["0000-0003-4649-0677","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":"2015-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/029c060d-a061-4e27-96ff-c0826351e7e3","10.5285/029c060d-a061-4e27-96ff-c0826351e7e3","doi:10.5285/029c060d-a061-4e27-96ff-c0826351e7e3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes manual measurements in centimetres from the surface of the soil of water table depth at the Climoor fieldsite in the Clocaenog Forest, north-east Wales. Water table depth was collected via water permeable tubes installed through the soil profile…","state":"published","temporalExtentText":"Data collected from 2009 to 2015","title":"Water table depth data from Climoor fieldsite in Clocaenog Forest 2009 - 2015","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University"],"authorFamilyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"authorFullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A."],"authorGivenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A."],"authorOrcid":["0000-0003-2750-7832","0000-0003-4649-0677","0000-0001-5645-3373","0000-0003-2869-0616","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov), leaf dry matter content (LDMC), leaf mass area (LMA) and specific leaf area (SLA) were measured on the dominant plant species. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Plots within the sites were located using a stratified random sampling design. Plant trait values were taken from existing published databases or were directly measured in each plot for the two species contributing the highest percentage cover.\n\nNPP (grams of dry mass per square metre per year) was measured using a variety of methods according to the plant functional types present. SLA and LDMC was measured on site focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling. Leaf area was calculated based on scanned photographs analysed using Image J software v1.46r.\n\nPlant parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model.\n\nMeasurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University.\nThis data was collected for the NERC project - The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Reinsch","Mercado","Blanes","Cosby","Glanville","Jones","Marshall","Emmett"],"fullName":["Smart, S.M.","Reinsch, S.","Mercado, L.","Blanes, M.C.","Cosby, B.J.","Glanville, H.C.","Jones, D.L.","Marshall, M.R.","Emmett, B.A.","Smart, S."],"funder":["Natural Environment Research Council"],"givenName":["S.M.","S.","L.","M.C.","B.J.","H.C.","D.L.","M.R.","B.A.","Simon"],"grant":["NE/J011991/1"],"identifier":"8899768c-cc5a-4885-a88b-c08374ee568e","incomingCitationCount":2,"keyword":["North Wales ","Conwy Catchment ","North West England","Ingleborough","Turf2Surf ( T2S)","Macronutrient Cycling Programme (MCP)","Land use intensification gradient","Catchment scale","net primary productivity","aboveground net primary productivity","watershed","land use","canopy height","bryophytes cover","leaf dry matter content","specific leaf area","leaf mass area"],"keywordsOther":["Land use intensification gradient","Catchment scale","net primary productivity","aboveground net primary productivity","watershed","land use","canopy height","bryophytes cover","leaf dry matter content","specific leaf area","leaf mass area"],"keywordsPlace":["North Wales ","Conwy Catchment ","North West England","Ingleborough"],"keywordsProject":["Turf2Surf ( T2S)","Macronutrient Cycling Programme (MCP)"],"licence":"Open government licence","lineage":"At the seventeen sites measurements were made in plots ranging in size from 200 metres square to 0.5 metres square located using a stratified random sampling design. The species composition and percentage cover of all plant species was recorded in all plots.\n\nNPP (grams dry mass per metre squared per year) was measured on all dominant plant species at all sites between 2013 and 2014. Measurement of NPP varied according to the plant functional types present. These types comprised 'cool season' C3 graminoids (Poacaea, Junacaea, Cyperacaea), broadleaved and needle-leaved trees, dwarf shrubs, forbs and bryophytes. All plots were visited in early January at the start of each measurement year. Any green material and standing litter was removed by clipping to 1 cm vegetation height. In grazed systems (grasslands and mires) exclosures were installed and the vegetation cut twice throughout the growing season; first at estimated peak biomass and a second time to capture late summer and autumn regrowth. These two values were then summed. In ombrotrophic and minerotrophic peatlands, growth of Sphagnum species was measured over two years using the cranked wire method. Peatland graminoids were measured by harvesting annual biomass accumulation in exclosures over one year using the same methods applied to grazed grasslands. Annual productivity of dwarf shrub heath (Calluna vulgaris) was estimated from a growth curve built from total biomass harvests all carried out in October 2014 on the same ombrogenous mire plateau in the upper Conwy valley. Sampling was carried out across a chronosequence of stands of 5, 11 and 30 year-old Calluna.\n\nIn woodlands, different methods were used to measure annual production of trees; litter buckets for leaf litter fall, annual woody mass increment by combining tree-coring, DBH (tree diameter at 1.3 m), wood density and tree height measurements, herbaceous understorey growth by harvesting in one year after cutting back in January and the bryophyte layer by harvesting the moss mat that had grown through coarse plastic meshes of known size pegged securely onto the moss layer in early January and harvested after one year. Measurement of NPP was carried out using plots of varying dimensions scaled to the size of the plant types present but then expressed as production per square metre across all vegetation types.\n   \nFor plant traits in situ measurement of SLA and LDMC was carried out focussing on the dominant vascular plant species in each plot defined as the two species contributing maximum standing biomass in the year of sampling.  LDMC was measured by weighing fresh material consisting of between approximately 10 to several hundred leaves from different plants depending on the size of the leaves. Leaf material was stored in plastic boxes between dampened tissue paper and transported to the laboratory within 24 hours of harvesting. Leaves were then blotted dry and weighed fresh then dried for 24 hours at 80 degrees Celsius and weighed again. LDMC is expressed as g dry mass g-1 fresh mass. SLA was measured by sampling 10 leaves from different plants. Leaf area was calculated based on scanned photographs analysed using the Image J software v1.46r (See Supporting Information). Dry weight was measured as for LDMC. SLA is expressed as square millimetres per milligram of dry mass.\n\nLMA was determined on ten leaves that were scanned or photographed. The dry weight of these leaves was determined. The leaf area was analysed using the program Image J and LMA was calculated.\n\nFor plant species abundance in each NPP plot all vascular plant species and bryophytes were identified and cover estimated in intervals of 5 percent. Percentage cover was based on horizontal leaf projection over the plot so that total cover over all species was allowed to exceed 100. \n\nMean abundance-weighted trait values for SLA and LDMC were computed for each NPP sampling plot within each site using either the raw percentage cover or square-root transformed cover value for each species in each sample plot within each site. The trait values for each species in each sample plot and within site were based either on replicated measurements on the dominant plants in each plot or, if not dominants, then were extracted from the databases described above. The full details are available in the supporting documentations.\n\nAll results were entered into Excel spreadsheets. Results from all the analyses were combined into one Excel spreadsheet. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.","locations":["POLYGON((-4.035 52.935, -4.035 54.201, -2.311 54.201, -2.311 52.935, -4.035 52.935))"],"metadataDate":"2026-07-25T08:40:06.000Z","orcid":["0000-0003-2750-7832","0000-0003-4649-0677","0000-0001-5645-3373","0000-0003-2869-0616","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","University of Exeter","University of Jaén","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8899768c-cc5a-4885-a88b-c08374ee568e","10.5285/8899768c-cc5a-4885-a88b-c08374ee568e","doi:10.5285/8899768c-cc5a-4885-a88b-c08374ee568e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/0122p5f64","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of plant structural plant community measurements from fifteen sites located in the Conwy catchment (North Wales) and from two sites in North West England. Annual aboveground net primary productivity (NPP), canopy height (cht), bryophyte cover (Bcov),…","state":"published","supplementalDescription":["Guidance on the interpretation of the Biodiversity Broad Habitat Classification (terrestrial and freshwater types): Definitions and the relationship with other classifications (2000)","Chave, J., Coomes, D., Jansen, S., Lewis, S. L., Swenson, N. G. and Zanne, A. E. (2009), Towards a worldwide wood economics spectrum. Ecology Letters, 12: 351-366","Clymo, R. (1970). The Growth of Sphagnum: Methods of Measurement. Journal of Ecology, 58(1), 13-49. ","Coomes, DA, Allen, RB (2007) Effects of size, competition and altitude on tree growth. J.Ecol. 95, 1084-1097.","Kivimäki, S.K. (2011) Changes in carbon and nitrogen dynamics in Sphagnum capillifolium under enhanced nitrogen deposition. PhD thesis. University of Edinburgh.","Weiner, J, Thomas, SC (2001) The nature of tree growth and the \"Age-Related Decline in Forest Productivity\". Oikos 94, 374-376."],"supplementalName":["T2S website","Biodiversity Broad Habitat Classification"],"temporalExtentText":"Data collected from 2013 to 2014","title":"Plant structural measurements in North Wales and Northwest England 2013 and 2014","version":1.0,"view":["public","danor"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=3"}