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Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. \n\nLCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W."],"grant":["NE/R016429/1"],"identifier":"bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","incomingCitationCount":0,"keyword":["Land cover","Land use","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Land use","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage target class is produced from the 25m raster (which is derived from the vector product) by:\n1. Using gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:58:57.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","10.5285/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8","doi:10.5285/bb381b5b-d44e-4dbd-a9d1-efffd4c3e4a8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Land Cover Map 1990 (1km percentage target class, GB) v2","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":2.0,"view":["public","clamw"]},{"authorAffiliation":["The James Hutton Institute ","University of the Highlands and Islands","UK Centre for Ecology & Hydrology","The James Hutton Institute","Royal Society for the Protection of Birds"],"authorFamilyName":["Coyle","Andersen","Morrison","Cash","Cowdery","Gilbert","Johnson-Marshall","Vidis","Artz"],"authorFullName":["Coyle, M.","Andersen, R.","Morrison, R.","Cash, J.","Cowdery, E.","Gilbert, P.","Johnson-Marshall, A.","Vidis, M.","Artz, R.R.E."],"authorGivenName":["M.","R.","J.","E.","P.","A.","R.R.E."],"authorOrcid":["0000-0002-9440-6524","0000-0002-7782-795X","0000-0002-1847-3127","0000-0002-8567-1377","0000-0002-6538-6296","0000-0003-2356-0951","0000-0002-8462-6558"],"authorRor":["https://ror.org/03rzp5127","https://ror.org/02s08xt61","https://ror.org/00pggkr55","https://ror.org/0138va192"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of greenhouse gas exchange (carbon dioxide and methane) over a plantation forest on peat, in the Flow Country, Caithness and Sutherland. It contains eddy-covariance and associated meteorological and pedological measurements from 2016/01/01 to 2017/12/31 at half hourly intervals. The time series has been gap filled to allow the calculation of annual budgets for carbon exchange.\n\nThe site reference is UK-DKE ( http://www.europe-fluxdata.eu/home/sites-list )","documentType":"GEMINI_DOCUMENT","familyName":["Coyle","Andersen","Morrison","Cash","Cowdery","Gilbert","Johnson-Marshall","Vidis","Artz"],"fullName":["Coyle, M.","Andersen, R.","Morrison, R.","Cash, J.","Cowdery, E.","Gilbert, P.","Johnson-Marshall, A.","Vidis, M.","Artz, R.R.E."],"funder":["Natural Environment Research Council","Scottish Government: Rural and Environment Science and Analytical Services"],"givenName":["M.","R.","J.","E.","P.","A.","R.R.E."],"identifier":"856d0d16-53fe-4560-8976-b4bc75d37adc","incomingCitationCount":0,"keyword":["Environmental survey","Climate and climate change","meteorology","peat","blanket bog","forest","NEE","carbon dioxide","methane"],"keywordsOther":["meteorology","peat","blanket bog","forest","NEE","carbon dioxide","methane"],"keywordsTheme":["Environmental survey","Climate and climate change"],"licence":"Open government licence","lineage":"The site was first installed in May 2016 by University of Highlands and Islands (UHI) on a triangular lattice mast ~20 m tall. At the time this area was forested with commercial non-native tree species which were harvested in November 2017.  It is currently managed by the James Hutton Institute (Aberdeen) as part of the SCO2FLUX network with supporting funding from NERC (Mothership Project) and SRES (CentrePeat project). University of the Highlands and Islands and the RSPB (Royal Society for the Protection of Birds) continue to support maintenance of the site as local site operators.\n\nMeasurements are made using standard instrumentation, retrieved remotely at regular intervals and processed using protocols similar to those defined by the FluxNet and Integrated Carbon Observation Systems (ICOS) projects.\n\nA subset of these data, which submitted previously, will differ slightly from this version as QA/QC procedures have been updated and refined (https://doi.org/10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3 )","locations":["POLYGON((-3.97 58.427, -3.97 58.428, -3.969 58.428, -3.969 58.427, -3.97 58.427))"],"metadataDate":"2026-07-25T08:38:09.000Z","orcid":["0000-0002-9440-6524","0000-0002-7782-795X","0000-0002-1847-3127","0000-0002-8567-1377","0000-0002-6538-6296","0000-0003-2356-0951","0000-0002-8462-6558"],"organisation":["The James Hutton Institute ","University of the Highlands and Islands","UK Centre for Ecology & Hydrology","The James Hutton Institute","Royal Society for the Protection of Birds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/856d0d16-53fe-4560-8976-b4bc75d37adc","10.5285/856d0d16-53fe-4560-8976-b4bc75d37adc","doi:10.5285/856d0d16-53fe-4560-8976-b4bc75d37adc"],"resourceType":"Dataset","rightsHolder":["The James Hutton Institute"],"ror":["https://ror.org/03rzp5127","https://ror.org/02s08xt61","https://ror.org/00pggkr55","https://ror.org/0138va192","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of greenhouse gas exchange (carbon dioxide and methane) over a plantation forest on peat, in the Flow Country, Caithness and Sutherland. It contains eddy-covariance and associated meteorological and pedological measurements from 2016/01/01…","state":"published","temporalExtentText":"Data collected from 2016 to 2017","title":"Carbon dioxide and methane fluxes and associated environmental observations during use as plantation forest on peat bog, Forsinard Flows RSPB Reserve, Scotland, 2016-2017","topic":["0/Environmental survey/","0/Climate and climate change/"],"version":1.0,"view":["public","elsdhi","rebekka.artz@hutton.ac.uk"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Bealey","Roberts"],"authorFullName":["Bealey, W.J.","Roberts, E.M."],"authorGivenName":["W.J.","E.M."],"authorOrcid":["0000-0003-3708-5864"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the critical load and level values for designated habitats and species (where there is an appropriate match) at protected sites across the UK. The data is available for designated interest features for the following designations:\n (i)\tSpecial Areas of Conservation (SAC)\n(ii)\tSpecial Protection Areas (SPA)\n(iii)\tSites of Special Scientific Interest (SSSI) - England only. \n\nCritical loads and levels are set under the auspices of the United Nations Economic Commission for Europe (UNECE) Convention on Long-Range Transboundary Air Pollution. \n\nFor nutrient nitrogen critical loads are based on empirical evidence, mainly observations from experiments and targeted gradient studies. These empirical critical loads are assigned to habitat classes of the European Nature Information System (EUNIS) to enable consistency of habitat terminology and understanding across Europe.  In order the assign the relevant critical load to Annex I features, SSSI habitat features, or habitats of Annex II/SPA features, habitat correspondence tables are used to determine the relationship between the EUNIS classes for which nitrogen critical loads are set and the interest features.\n\nCritical loads of acidity are based on soil and habitat types.  They are set for six Broad Habitats; acid grassland, calcareous grassland, dwarf shrub heath, bogs, montane, unmanaged coniferous and broadleaved woodland.\n\nCritical Levels for air pollutants are not habitat specific and have been set to cover broad vegetation types (e.g. forest arable, semi-natural), often with critical values set for sensitive lichens and bryophytes. They have been derived from experiments and observation that show varied effects on vegetation including visible injury symptoms of exposure and species composition changes in semi-natural vegetation.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bealey","Roberts"],"fullName":["Bealey, W.J.","Roberts, E.M."],"givenName":["W.J.","E.M."],"identifier":"0c04050d-ed79-4864-a164-5eb25f8c6ebd","incomingCitationCount":0,"keyword":["Pollution","natura 2000","sulphur dioxide","nitrogen dioxide","ammonia","acid deposition","nitrogen deposition","critical load","critical level"],"keywordsOther":["natura 2000","sulphur dioxide","nitrogen dioxide","ammonia","acid deposition","nitrogen deposition","critical load","critical level"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Critical loads and levels have been applied to interest features across the designated network (SAC, SPA, and SSSI for England only) where a suitable match can be made. Critical load and level values are set out in the 'Manual on methodologies and criteria for Modelling and Mapping Critical Loads & Levels and Air Pollution Effects, Risks and Trends (CLRTAP, 2004 to 2016).\n\nMatching relevant critical loads and levels for interest features (habitats) have been made using the European Nature Information System (EUNIS) classification and broad habitats under the Biodiversity Action Plan (BAP).\n\nEmpirical critical loads for nutrient nitrogen are assigned to a habitat using habitat correspondence tables to determine the relationship between the EUNIS classes for which nitrogen critical loads are set and the interest features. Justifications were provided for each match between an interest feature and its relevant critical load.\n\nCritical loads of acidity are based on soil and habitat types and were based on six Broad Habitats; acid grassland, calcareous grassland, dwarf shrub heath, bogs, montane, unmanaged coniferous and broadleaved woodland (UK Biodiversity Action Plan, 1994).\n\nFor species relevant critical loads were applied to the specie's habitat and not the species itself. For example, for SPA bird features an assessment was made on the sensitivity of the habitat and how that would that affect the viability of the breeding, feeding or roosting of that species.\n\nCritical level values are not habitat specific, but have been set to cover broad vegetation types (e.g. forest arable, semi-natural), often with critical values set for sensitive lichens and bryophytes as in the case of ammonia. Linkages were made between habitat and species where possible to provide site relevant critical levels for ammonia, nitrogen dioxide, and sulphur dioxide.\n\nThis work falls under the Air Pollution Information System (APIS) and is jointly funded between the Centre for Ecology & Hydrology and the UK pollution and conservation agencies including Natural Resources Wales (NRW), the Environment Agency, Northern Ireland Environment Agency, Natural England, the Joint Nature Conservation Committee (JNCC), Scotland and Northern Ireland Forum for Environmental Research (SNIFFER), the Scottish Environment Protection Agency (SEPA), and Scottish Natural Heritage (SNH).\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:00:01.000Z","orcid":["0000-0003-3708-5864"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-08-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0c04050d-ed79-4864-a164-5eb25f8c6ebd","10.5285/0c04050d-ed79-4864-a164-5eb25f8c6ebd","doi:10.5285/0c04050d-ed79-4864-a164-5eb25f8c6ebd"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the critical load and level values for designated habitats and species (where there is an appropriate match) at protected sites across the UK. The data is available for designated interest features for the following designations:\n (i)\tSpecial Areas…","state":"published","supplementalDescription":["Manual on Methodologies and Criteria for Modelling and Mapping Critical Loads and Levels and Air Pollution Effects, Risks and Trends"],"supplementalName":["Site Relevant Critical Loads and Source Attribution (APIS)  website","Modelling and mapping manual"],"title":"Interest features and linked critical load/level values for UK protected sites","topic":["0/Pollution/"],"version":1.0,"view":["public","elirob"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorFamilyName":["Perry","Beaton","Iason","Cottrell","Stockan","Cavers"],"authorFullName":["Perry, A.","Beaton, J.","Iason, G.","Cottrell, J.","Stockan, J.","Cavers, S."],"authorGivenName":["A.","J.","G.","S."],"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":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This dataset contains data pertaining to the phenotypes (height and budburst) and genotypes (via SNP array) for a subset of trees from a long term multi-site Scots pine experimental trial.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Beaton","Iason","Cottrell","Stockan","Cavers"],"fullName":["Perry, A.","Beaton, J.","Iason, G.","Cottrell, J.","Stockan, J.","Cavers, S."],"funder":["Natural Environment Research Council"],"givenName":["A.","J.","G.","S."],"grant":["NE/K012177/1"],"identifier":"52248442-a50f-4fc0-a73e-31c61cd27df9","incomingCitationCount":0,"keyword":["Phenology","budburst","height","SNP array","genotypes","Scots pine"],"keywordsOther":["budburst","height","SNP array","genotypes","Scots pine"],"keywordsTheme":["Phenology"],"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 8 families from each of 21 native Caledonian pinewood provenances. Two of the sites (Glensaugh and Yair) have four randomised blocks and the other (Inverewe) has three randomised blocks. \n\nThis dataset relates to a subset of trees (N = 208) from two of the sites (Glensaugh, N = 108; Yair, N = 100).  Glensaugh (latitude 56.893567, longitude -2.535736) and Yair (latitude 55.603625, longitude -2.893025)\n\nPhenotypes (height and budburst) were assessed in situ at each site in spring (budburst) and winter (height) between 2015 and 2020. \n\nTrees were genotyped using a multi-species SNP array (Perry et al., 2020). DNA was extracted from needles using a Qiagen DNeasy 96 kit following the manufacturer’s instructions. Needles were dried on silica gel prior to extraction and DNA was quantified using a Qubit spectrophotometer to ensure a minimum standardized concentration of 35ng/µl. The quality of genomic DNA was also checked visually for fragmentation on 1 % agarose gel.\n\nGenotyping was done at Edinburgh Genomics following DNA amplification, fragmentation, chip hybridisation, single-base extension through DNA ligation and signal amplification performed according to the Affymetrix Axiom® Assay protocol. Genotyping was performed in 384-well format on a GeneTitan according to the manufacturer’s procedure. Genotype calls were performed using Axiom Analysis Suite software as recommended by the manufacturer (ThermoFisher). Samples were assigned to an analysis group based on their call rate (CR) and dish QC (DQC: a metric provided by ThermoFisher which is generated by measuring signals at multiple sites in the genome known not to vary among individuals), using the following thresholds: DQC ‘high’ ≥ 0.82; DQC ‘low’ < 0.82; CR ‘high’ ≥ 96; CR ‘low’ < 96. Analyses: 1) DQC high + CR high; 2) DQC high + CR low; 3) DQC low + CR low. High quality samples (N=529), with high CR and DQC, were used to set thresholds for allele calls. Posteriors for allele calls were subsequently used as priors for analyses 2 (N = 753) and 3 (N = 251).\n","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-07-24T23:03:33.000Z","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":"2021-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/52248442-a50f-4fc0-a73e-31c61cd27df9","10.5285/52248442-a50f-4fc0-a73e-31c61cd27df9","doi:10.5285/52248442-a50f-4fc0-a73e-31c61cd27df9"],"resourceType":"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 data pertaining to the phenotypes (height and budburst) and genotypes (via SNP array) for a subset of trees from a long term multi-site Scots pine experimental trial.","state":"published","temporalExtentText":"Data collected from 2012 to 2020","title":"Long-term multisite Scots pine single nucleotide polymorphism (SNP) genotypes and phenotypes for marker-trait association analysis","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Royal Botanic Garden Edinburgh","Kathmandu University, Nepal","COMSATS University, Pakistan","Sherubtse College, Bhutan","The Nature Conservancy, India","University of Peradeniya","National Centre for Sustainable Coastal Management, India","Dilmah Conservation"],"authorFamilyName":["Deshpande","Ellis","Pradhan","Sharma","Asad","Tshering","Wangchuk","Chatterjee","Weerakoon","Nissanka","Ganguly","Prabhashwara","Duarte","Stephens","Iwanicka","Sutton","Jones"],"authorFullName":["Deshpande, A.","Ellis, C.","Pradhan, S.P.","Sharma, S.","Asad, S.A.","Tshering, D.","Wangchuk, K.","Chatterjee, S.","Weerakoon, B.","Nissanka, S.P.","Ganguly, D.","Prabhashwara, T.","Duarte, F.","Stephens, A.","Iwanicka, A.","Sutton, M.A.","Jones, M.R."],"authorGivenName":["A.","C.","S.P.","S.","S.A.","D.","K.","B.","T.","F.","M.A.","M.R."],"authorOrcid":["0000-0002-2095-1271"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0349vqz63","https://ror.org/036xnae80","https://ror.org/031ggcd89","https://ror.org/025h79t26"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and 2024. Monthly mean atmospheric ammonia concentrations are provided from 33 sites across the five countries. This dataset provides the first ever empirical measurements of ammonia from South Asian forests and can be used to estimate ecological impact, inform policy decisions, validate atmospheric chemistry transport models and satellite data and design future air quality and ecological monitoring in the region. The ammonia concentration data was collected monthly by deploying passive citric acid-coated samplers at the study locations.","documentType":"GEMINI_DOCUMENT","familyName":["Deshpande","Ellis","Pradhan","Sharma","Asad","Tshering","Wangchuk","Chatterjee","Weerakoon","Nissanka","Ganguly","Prabhashwara","Duarte","Stephens","Iwanicka","Sutton","Jones"],"fullName":["Deshpande, A.","Ellis, C.","Pradhan, S.P.","Sharma, S.","Asad, S.A.","Tshering, D.","Wangchuk, K.","Chatterjee, S.","Weerakoon, B.","Nissanka, S.P.","Ganguly, D.","Prabhashwara, T.","Duarte, F.","Stephens, A.","Iwanicka, A.","Sutton, M.A.","Jones, M.R.","Deshpande, A.G."],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","S.P.","S.","S.A.","D.","K.","B.","T.","F.","M.A.","M.R.","A.G."],"grant":["NE/S009019/1"],"identifier":"9c4aee69-3693-4f18-97c8-ff740045f3de","incomingCitationCount":0,"keyword":["South Asia","Environmental survey","ammonia","Himalaya","forest","passive sampling","air pollution","agriculture"],"keywordsOther":["ammonia","Himalaya","forest","passive sampling","air pollution","agriculture"],"keywordsPlace":["South Asia"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Starting May 2022, triplicate sets of UKCEH Adapted Low-cost Passive High Absorption (ALPHA®) samplers were deployed under the forest canopy at sites buffered by at least 500 m of continuous forest on all sides. The exposed samplers were replaced with fresh ones at the end of each month. The exposed samplers from India, Nepal, Bhutan and Sri Lanka were analysed at the National Centre for Sustainable Coastal Management, Chennai and samplers from Pakistan were analysed at UKCEH, Edinburgh using the salicylate method. Blank samplers for each period were also analysed. The analysis provides the concentration of ammonium ions absorbed by each sampler. This is further converted to atmospheric ammonia concentration using an uptake rate which determined annually in the UK by co-locating the ALPHA samplers with UKCEH DEnuder for Long-Term Atmospheric sampling (DELTA®) samplers at multiple UK sites. The monthly concentration at each site is calculated as the average of the concentration measured by each sampler in the triplicate set. Obvious outliers are removed before calculating the average. Further quality assurance is performed based on comments from site operators regarding physical damage to the sampler, wet sampler, etc. ","locations":["POLYGON((66.269 3.864, 66.269 34.235, 93.873 34.235, 93.873 3.864, 66.269 3.864))"],"metadataDate":"2026-07-25T10:23:11.000Z","orcid":["0000-0002-2095-1271"],"organisation":["UK Centre for Ecology & Hydrology","Royal Botanic Garden Edinburgh","Kathmandu University, Nepal","COMSATS University, Pakistan","Sherubtse College, Bhutan","The Nature Conservancy, India","University of Peradeniya","National Centre for Sustainable Coastal Management, India","Dilmah Conservation","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9c4aee69-3693-4f18-97c8-ff740045f3de","10.5285/9c4aee69-3693-4f18-97c8-ff740045f3de","doi:10.5285/9c4aee69-3693-4f18-97c8-ff740045f3de"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0349vqz63","https://ror.org/036xnae80","https://ror.org/031ggcd89","https://ror.org/025h79t26","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and 2024. Monthly mean atmospheric ammonia concentrations are provided from…","state":"published","temporalExtentText":"Data collected from 2022 to 2024","title":"Ammonia concentrations from high-elevation Himalayan forests and a Sri Lankan tropical forest, 2022-2024","topic":["0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-0394-2998","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid","TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"289805c2-4be7-4fb5-b6ec-1539ed88c43d","incomingCitationCount":2,"keyword":["Great Britain","England","Scotland","Wales","Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of OS tiles NW and HZ. See online supporting documentation for further details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:29:15.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-0394-2998","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399373975762","CEH:EIDC::1399373975762","https://catalogue.ceh.ac.uk/id/289805c2-4be7-4fb5-b6ec-1539ed88c43d","10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d","doi:10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations…","state":"published","supplementalDescription":["R.D. Morton, C. Rowland, C. Wood, L. Meek, C. Marston, G. Smith, R. Wadsworth, I. Simpson. July 2011 CS Technical Report No 11/07: Final Report for LCM2007 - the new UK land cover map. NERC/Centre for Ecology & Hydrology (CEH Project Number NEC03259)."],"temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (1km percentage aggregate class, GB) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Edinburgh","The James Hutton Institute ","The James Hutton Institute"],"authorFamilyName":["Street","Mitchell","Cameron"],"authorFullName":["Street, L.E.","Mitchell, R.J.","Cameron, C.M."],"authorGivenName":["L.E.","R.J.","C.M."],"authorOrcid":["0000-0001-9570-7479","0000-0001-8151-2769","0000-0002-4475-7318"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains 13C and 15N data for organic soil profiles (organic horizons to top of E horizon) at two of the MOORCO experimental tree planting sites in North East Scotland (Glensaugh and Ballogie). Data also includes total soil carbon and nitrogen stocks and bulk density.","documentType":"GEMINI_DOCUMENT","familyName":["Street","Mitchell","Cameron"],"fullName":["Street, L.E.","Mitchell, R.J.","Cameron, C.M."],"funder":["Natural Environment Research Council"],"givenName":["L.E.","R.J.","C.M."],"grant":["NE/N015460/1"],"identifier":"00acbdb2-1eba-4016-9e50-e3126933a541","incomingCitationCount":0,"keyword":["Soil","carbon","nitrogen","upland","MOORCO","stable isotopes","13C","15N"],"keywordsOther":["carbon","nitrogen","upland","MOORCO","stable isotopes","13C","15N"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Data are obtained from sieved and dried soil cores, which were then homogenised and analysed for %C, %N (via elemental analysis), d13C and d15N content (via IRMS). \n\nQC on all variables involved checking max and minimum values to ensure these are within the range of ecologically realistic values, and plotting histograms of data to identify obvious outliers. No outliers or unrealistic values were identified so all data are included.\n","locations":["POLYGON((-2.743 56.91, -2.743 57.027, -2.534 57.027, -2.534 56.91, -2.743 56.91))"],"metadataDate":"2026-07-24T18:50:15.000Z","orcid":["0000-0001-9570-7479","0000-0001-8151-2769","0000-0002-4475-7318"],"organisation":["University of Edinburgh","The James Hutton Institute ","The James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/00acbdb2-1eba-4016-9e50-e3126933a541","10.5285/00acbdb2-1eba-4016-9e50-e3126933a541","doi:10.5285/00acbdb2-1eba-4016-9e50-e3126933a541"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh","The James Hutton Institute"],"ror":["https://ror.org/01nrxwf90","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains 13C and 15N data for organic soil profiles (organic horizons to top of E horizon) at two of the MOORCO experimental tree planting sites in North East Scotland (Glensaugh and Ballogie). Data also includes total soil carbon and nitrogen stocks and…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Carbon and nitrogen stable isotopes in soil profiles from experimental tree-planting plots at two sites in Northeast Scotland (Glensaugh and Ballogie), November 2021, from the Moorland Colonisation Experiment (MOORCO)","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Butterfly Conservation","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Cook","Tordoff","Davis","Parsons","Dennis","Fox","Botham","Bourn"],"authorFullName":["Cook, P.M.","Tordoff, G.M.","Davis, A.M.","Parsons, M.S.","Dennis, E.B.","Fox, R.","Botham, M.S.","Bourn, N.A.D."],"authorGivenName":["P.M.","G.M.","A.M.","M.S.","E.B.","R.","N.A.D."],"authorOrcid":["0000-0002-7510-1020","0000-0003-2692-4415","0000-0001-6992-3522","0000-0002-5276-1405","0000-0003-1416-6047"],"authorRor":["https://ror.org/05jg03a59","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Here, we present a comprehensive traits database for the butterflies and macro-moths of Great Britain and Ireland. The database covers 968 species in 21 families. Ecological traits fall into four main categories: life cycle ecology and phenology, host plant specificity and characteristics, breeding habitat, and morphological characteristics. The database also contains data regarding species distribution, conservation status, and temporal trends for abundance and occupancy. This database can be used for a wide array of purposes including further fundamental research on species and community responses to environmental change, conservation and management studies, and evolutionary biology.\n\nA more recent version of the dataset is available at https://doi.org/10.5285/dbc7cc17-cbbd-49dd-bab4-8e8855768d66 entitled 'Traits data for the butterflies and macro-moths of Great Britain and Ireland, 2024'.","documentType":"GEMINI_DOCUMENT","familyName":["Cook","Tordoff","Davis","Parsons","Dennis","Fox","Botham","Bourn"],"fullName":["Cook, P.M.","Tordoff, G.M.","Davis, A.M.","Parsons, M.S.","Dennis, E.B.","Fox, R.","Botham, M.S.","Bourn, N.A.D."],"funder":["Natural Environment Research Council"],"givenName":["P.M.","G.M.","A.M.","M.S.","E.B.","R.","N.A.D."],"grant":["NE/N018125/1"],"identifier":"5b5a13b6-2304-47e3-9c9d-35237d1232c6","incomingCitationCount":0,"keyword":["Phenology","database","moths","trait","trend","lepidopteran","butterfly","ecology"],"keywordsOther":["database","moths","trait","trend","lepidopteran","butterfly","ecology"],"keywordsTheme":["Phenology"],"licence":"Open government licence","lineage":"Data were collected from a range of locations including published journal articles, identification and field guides, books, reports and websites. In some cases expert opinion was sought for clarification, particularly in relation to habitat variables.","locations":["POLYGON((-11.812 49.237, -11.812 61.244, 3.262 61.244, 3.262 49.237, -11.812 49.237))"],"metadataDate":"2026-07-24T23:09:07.000Z","orcid":["0000-0002-7510-1020","0000-0003-2692-4415","0000-0001-6992-3522","0000-0002-5276-1405","0000-0003-1416-6047"],"organisation":["Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b5a13b6-2304-47e3-9c9d-35237d1232c6","10.5285/5b5a13b6-2304-47e3-9c9d-35237d1232c6","doi:10.5285/5b5a13b6-2304-47e3-9c9d-35237d1232c6"],"resourceType":"Dataset","rightsHolder":["Butterfly Conservation"],"ror":["https://ror.org/05jg03a59","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Here, we present a comprehensive traits database for the butterflies and macro-moths of Great Britain and Ireland. The database covers 968 species in 21 families. Ecological traits fall into four main categories: life cycle ecology and phenology, host plant specificity…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Traits data for the butterflies and macro-moths of Great Britain and Ireland, 2021","topic":["0/Phenology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Rodriguez-Munoz","Tregenza"],"authorFullName":["Rodriguez-Munoz, R.","Tregenza, T."],"authorGivenName":["Rolando","T."],"authorOrcid":["0000-0002-6067-845X","0000-0003-4182-2222"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres above sea level. Data include basic traits, behavioural data, genotypes and pheromones.\n\nData were collected from 2006 to 2016.","documentType":"GEMINI_DOCUMENT","familyName":["Rodriguez-Munoz","Tregenza"],"fullName":["Rodriguez-Munoz, R.","Tregenza, T."],"funder":["Natural Environment Research Council"],"givenName":["Rolando","T."],"grant":["NE/L003635/1"],"identifier":"42d9fc5d-f30e-46a9-9d09-50272f4538cb","incomingCitationCount":0,"keyword":["Biodiversity","Animal behaviour","Gryllus campestris","Field cricket"],"keywordsOther":["Gryllus campestris","Field cricket"],"keywordsTheme":["Biodiversity","Animal behaviour"],"licence":"Open government licence","lineage":"Each burrow is flagged with a unique number that will identify it for the whole breeding season. Since the number of occupied burrows is often greater than the number of cameras, and adult crickets regularly move around the meadow occupying different burrows, we carry out direct observations to cover non-videoed burrows. We do this by directly observing the occupants of every burrow that lacks a camera every 1-2 days. We record the ID of any adult present or whether a nymph is in residence. This allows us to accurately record adult emergence dates even in burrows that are not directly monitored at that particular time, as nymphs and recently emerged adults  rarely move among burrows, and so the presence of an adult where there was a nymph the day before indicates an emergence. After the end of the season, we watch the videos and record all significant events (adult emergence, encounters between individuals, singing activity, matings, fights and their outcome, oviposition, predator attacks, movement of individuals around the meadow).\n\nThe cameras are connected to several computers provided with motion activated digital video recording software (Diginet, dvr-usa.com, replaced in 2011 with i-Catcher, i-codesystems.co.uk) so that video is only recorded when movement is detected around the burrow. After a pilot trial carried out in 2005 with 16 cameras, WildCrickets began in 2006 with 64 cameras, and has been running continuously ever since. In 2017 WildCrickets deployed 140 cameras. Every year, around the start of the adult eclosion period, we install our network of cameras in the meadow, each one covering a burrow and the area around it. Videos are stored using a Digital Video Recording (DVR) system running on several computers in a house located next to the meadow. In a normal year, there are more burrows than crickets and more crickets than cameras, so we move cameras among burrows to maximize the amount of information we record about individual cricket behaviour. Cameras record cricket activity 24 h a day, seven days a week, from the time of the first adult eclosion, until no cricket activity has been observed in any camera for two days. After this we remove the cameras until the following year.\n\nA weather station (Davis Vantage Pro2) installed in the centre of the meadow logs weather variables at ten minute intervals including measurements from seven additional temperature sensors located on the surface of the meadow (three sensors) and in simulated burrows (four sensors inside open-end 15 cm long PVC pipes totally buried in the ground) at locations scattered around the meadow.","locations":["POLYGON((-9.439 40.21, -9.439 44.017, 3.57 44.017, 3.57 40.21, -9.439 40.21))"],"metadataDate":"2026-07-24T21:15:21.000Z","orcid":["0000-0002-6067-845X","0000-0003-4182-2222"],"organisation":["University of Exeter","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/42d9fc5d-f30e-46a9-9d09-50272f4538cb","10.5285/42d9fc5d-f30e-46a9-9d09-50272f4538cb","doi:10.5285/42d9fc5d-f30e-46a9-9d09-50272f4538cb"],"resourceType":"Dataset","ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise monitoring records of a population of Gryllus campestris, a flightless, univoltine field cricket that lives in and around burrows excavated among the grass in a meadow in Asturias (North Spain). The area has an altitude range from around 60 to 270 metres…","state":"published","temporalExtentText":"Data collected from 2006 to 2016","title":" Life history of a wild field cricket population (Gryllus campestris) in North Spain (2006 to 2016)","topic":["0/Biodiversity/","0/Animal behaviour/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorGivenName":["P.","C.","L.M.","N."],"authorOrcid":["0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII"],"description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","familyName":["Zelazowski","Huntingford","Mercado","Schaller"],"fullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"givenName":["P.","C.","L.M.","N.","Chris"],"identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsOther":["Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T21:21:58.000Z","orcid":["0000-0002-5941-7770"],"organisation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580","doi:10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological…","state":"published","title":"GCM-based monthly patterns of local meteorological change, per degree of mean land warming, for driving  the IMOGEN impacts model","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Glasgow","Lancaster University"],"authorFamilyName":["Richardson","Waldron","Whitaker","Ostle"],"authorFullName":["Richardson, H.","Waldron, S.","Whitaker, J.","Ostle, N."],"authorGivenName":["H.","S.","J.","N."],"authorOrcid":["0000-0001-8824-471X","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data comprise carbon dioxide and methane fluxes in peat, litter mass remaining and respiration rate data from litter bags on peat mesocosms, and biochemical and physical properties of peat. Data was collected in from the first laboratory study, which focused on identifying the interactive effects of small-scale temperature change, water table level and plant functional type legacy effects in peat on carbon dioxide (CO2) and methane (CH4) fluxes from peat collected from Black Law Wind Farm, Lanarkshire, Scotland. Data includes CO2 and CH4 fluxes from peat mesocosms (sampled in May 2011), measured six times from October 2011 to September 2012. Data collected from the second laboratory study between October 2012 and October 2013 focused on identifying the interactive effects of small-scale temperature change and plant functional type legacy effects in peat and litter on decomposition in peatlands, and included litter mass remaining (% of initial litter mass) and respiration rate data from litter bags on peat mesocosms. Peat and litter used in this laboratory study were collected from blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland in October 2012.\n\nPeat and litter used in both studies were analysed for their biochemical and physical properties. Biochemical and physical properties data for the first laboratory study includes bulk density, pH, total carbon (C) content, total nitrogen (N) content, ratio of C to N, C stock, N stock, total phospholipid fatty acids (PLFAs), total fungal PLFAs, total bacterial PLFAs, ratio of fungal to bacterial PLFAs, total gram-positive bacterial PLFAs, total gram-negative bacterial PLFAs and ratio of gram-positive to gram-negative bacterial PLFAs of peat. Biochemical and physical properties data for the second laboratory study include total carbon (C) content, total nitrogen (N) content and the ratio of C to N for peat and litter. Biochemical and physical data properties for peat and litter were used to better understand the effects of plant functional type legacy on greenhouse gas fluxes and litter decomposition. ","documentType":"GEMINI_DOCUMENT","familyName":["Richardson","Waldron","Whitaker","Ostle"],"fullName":["Richardson, H.","Waldron, S.","Whitaker, J.","Ostle, N."],"givenName":["H.","S.","J.","N.","Jeanette"],"identifier":"e15fbbab-1cdd-4509-81a3-aa050e927dd0","incomingCitationCount":0,"keyword":["Black Law Wind Farm","South Lanarkshire","Scotland","greenhouse gas flux","peatland","carbon","flux","GHG","GC","soil biological and chemical properties","peat","greenhouse gas","litter"],"keywordsOther":["greenhouse gas flux","peatland","carbon","flux","GHG","GC","soil biological and chemical properties","peat","greenhouse gas","litter"],"keywordsPlace":["Black Law Wind Farm","South Lanarkshire","Scotland"],"licence":"Open government licence","lineage":"Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data was collected from the first laboratory study, which focused on identifying the interactive effects of small-scale temperature change, water table level and plant functional type legacy effects in peat on carbon dioxide (CO2) and methane (CH4) fluxes from peat collected from Black Law Wind Farm, Lanarkshire, Scotland. Data includes CO2 and CH4 fluxes from peat mesocosms, measured six times from October 2011 to September 2012. Data collected from the second laboratory study, which focused on identifying the interactive effects of small-scale temperature change and plant functional type legacy effects in peat and litter on decomposition in peatlands, included litter mass remaining (percent of initial litter mass) and respiration rate data from litter bags on peat mesocosms. Peat and litter used in this laboratory study were also collected from blanket bog peatland at Black Law Wind Farm, Lanarkshire, Scotland. Peat and litter used in both studies were analysed for their biochemical and physical properties. Biochemical and physical properties data for the first laboratory study includes bulk density, pH, total carbon (C) content, total nitrogen (N) content, ratio of C to N, C stock, N stock, total phospholipid fatty acids (PLFAs), total fungal PLFAs, total bacterial PLFAs, ratio of fungal to bacterial PLFAs, total gram-positive bacterial PLFAs, total gram-negative bacterial PLFAs and ratio of gram-positive to gram-negative bacterial PLFAs of peat. Biochemical and physical properties data for the second laboratory study include total carbon (C) content, total nitrogen (N) content and the ratio of C to N for peat and litter. Biochemical and physical data properties for peat and litter were used to better understand the effects of plant functional type legacy on greenhouse gas fluxes and litter decomposition. ","metadataDate":"2026-09-15T08:40:27.000Z","orcid":["0000-0001-8824-471X","0000-0003-3263-3702"],"organisation":["Centre for Ecology & Hydrology","University of Glasgow","Lancaster University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1434459775402","CEH:EIDC::1434459775402","https://catalogue.ceh.ac.uk/id/e15fbbab-1cdd-4509-81a3-aa050e927dd0","10.5285/e15fbbab-1cdd-4509-81a3-aa050e927dd0","doi:10.5285/e15fbbab-1cdd-4509-81a3-aa050e927dd0"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00vtgdb53","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"Data from two laboratory-based studies, both investigating the interactive effects of abiotic and biotic controls on peatland carbon cycling. Data comprise carbon dioxide and methane fluxes in peat, litter mass remaining and respiration rate data from litter bags on…","state":"published","temporalExtentText":"Data collected from 2011 to 2013","title":"Measures of peatland carbon cycling from peat mesocosm incubation experiments","version":1.0,"view":["public","jgar"]},{"altTitle":["ITE Merlewood Land Classification of Great Britain 1990"],"authorAffiliation":["Institute of Terrestrial Ecology"],"authorFamilyName":["Bunce","Barr","Clarke","Howard","Lane"],"authorFullName":["Bunce, R.G.H.","Barr, C.J.","Clarke, R.T.","Howard, D.C.","Lane, A.M.J."],"authorGivenName":["R.G.H.","C.J.","R.T.","D.C.","A.M.J."],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Geography Markup Language (gml)"],"description":"The Land Classification 1990 is a classification of Great Britain into a set of 32 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s. The strata were created from the multivariate analysis of 75 environmental variables, including climatic data, topographic data, human geographical features and geology data. The Land Classification can be used to stratify a wide range of ecological and biogeographical surveys to improve the efficiency of collection, analysis and presentation of information derived from a sample. The Land Classification 1990 provided stratification the Countryside Survey of Great Britain 1990. The dataset was later modified in 1998 and 2007 for successive Countryside Surveys, both versions of which are also available. ","documentType":"GEMINI_DOCUMENT","familyName":["Bunce","Barr","Clarke","Howard","Lane","Wood"],"fullName":["Bunce, R.G.H.","Barr, C.J.","Clarke, R.T.","Howard, D.C.","Lane, A.M.J.","Wood, C.M."],"givenName":["R.G.H.","C.J.","R.T.","D.C.","A.M.J.","C.M."],"identifier":"ab320e08-faf5-48e1-9ec9-77a213d2907f","incomingCitationCount":3,"keyword":["Great Britain","Mapping","stratification","Countryside Survey","Institute of Terrestrial Ecology","ITE","landscape ecology","land use classification"],"keywordsOther":["stratification","Countryside Survey","Institute of Terrestrial Ecology","ITE","landscape ecology","land use classification"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Mapping"],"licence":"Non-Open government licence","lineage":"The 1990 version of the ITE Land Classification was developed from an earlier classification attempt in 1978, but used environmental data from all 240,000 km squares in GB to create the stratification. It contains 32 classes or strata, distributed across Great Britain. Each stratum consists of areas with similar environmental characteristics. Further information is provided in the supporting documents available in the Online Resources.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:21:29.000Z","organisation":["Institute of Terrestrial Ecology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"1990-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1316009566467","CEH:EIDC::1316009566467","https://catalogue.ceh.ac.uk/id/ab320e08-faf5-48e1-9ec9-77a213d2907f","10.5285/ab320e08-faf5-48e1-9ec9-77a213d2907f","doi:10.5285/ab320e08-faf5-48e1-9ec9-77a213d2907f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Land Classification 1990 is a classification of Great Britain into a set of 32 environmental strata, termed land classes, to be used as a basis for ecological survey, originally developed by the Institute of Terrestrial Ecology (ITE) in the late 1970s. The strata…","state":"published","temporalExtentText":"Data collection started in 1990","title":"ITE Land Classification of Great Britain 1990","topic":["0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023 (note that 2017 was a pilot year and has less data than subsequent years).\n\nThe \"public\" FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes.\n\nThe \"1 km square\" FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country.\n\nUK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2023: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds.\n\nPoMS Steering Group members up to 2023 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, and National Biodiversity Network.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme","Robin Hutchinson"],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs","Scottish Government","Welsh Government","Joint Nature Conservation Committee","Department of Agriculture, Environment and Rural Affairs for Northern Ireland","UK Centre for Ecology & Hydrology"],"grant":["NE/Y006208/1"],"identifier":"d706088c-9d48-4be5-b156-6ed6ad5e0618","incomingCitationCount":0,"keyword":["Biodiversity","Pollinators","Ecosystem services","citizen science","insect","biological monitoring","biotic interactions","bee","beetle","dipteran","butterfly","environmental monitoring"],"keywordsOther":["citizen science","insect","biological monitoring","biotic interactions","bee","beetle","dipteran","butterfly","environmental monitoring"],"keywordsTheme":["Biodiversity","Pollinators","Ecosystem services"],"licence":"Open government licence","lineage":"Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of fourteen target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects.\n\nOne km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way. The data is then passed through a QA process in R (code available in the metadata) to detect and resolve any errors in the dataset, or highlight where the methodology was not followed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:21:06.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Joint Nature Conservation Committee"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d706088c-9d48-4be5-b156-6ed6ad5e0618","10.5285/d706088c-9d48-4be5-b156-6ed6ad5e0618","doi:10.5285/d706088c-9d48-4be5-b156-6ed6ad5e0618"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023…","state":"published","temporalExtentText":"Data collected from 2017 to 2023","title":"Flower-Insect Timed Count data from the UK Pollinator Monitoring Scheme, 2017-2023","topic":["0/Biodiversity/","0/Pollinators/","0/Ecosystem services/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of York","University of Stirling","Royal Botanical Gardens, Edinburgh","The South East Asia Rainforest Research Partnership","Forest Research Centre, Sandakan","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Waddell","Chapman","Hill","Hughes","Bin Sailim","Tangah","Banin"],"authorFullName":["Waddell, E.H.","Chapman, D.S.","Hill, J.K.","Hughes, M.","Bin Sailim, A.","Tangah, J.","Banin, L.F."],"authorGivenName":["E.H.","D.S.","J.K.","M.","A.","J.","L.F."],"authorOrcid":["0000-0003-2555-6390","0000-0003-1836-4112","0000-0002-1168-3914"],"authorRor":["https://ror.org/04m01e293","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains measurements of herbivory occurrence and herbivory intensity within 21 oil palm dominated sites in Sabah, Malaysian Borneo. Within each site, herbivory measurements were recorded for Clidemia hirta and Melastoma spp. plants along two 100m transects, one at the forest-oil palm edge and the other in disturbed forest. In addition to herbivory measurement data, the dataset contains measurements of the number of reproductive organs, local density of C. hirta plants and local canopy cover. \n\nThese data were collected in order to examine evidence for the roles of natural enemy release and biotic resistance in invasion of C. hirta within agricultural landscapes of Sabah, Malaysian Borneo, where C. hirta co-occurs with native species of Melastomataceae.\n","documentType":"GEMINI_DOCUMENT","familyName":["Waddell","Chapman","Hill","Hughes","Bin Sailim","Tangah","Banin"],"fullName":["Waddell, E.H.","Chapman, D.S.","Hill, J.K.","Hughes, M.","Bin Sailim, A.","Tangah, J.","Banin, L.F.","Waddell, E."],"funder":["Natural Environment Research Council"],"givenName":["E.H.","D.S.","J.K.","M.","A.","J.","L.F.","Emily"],"grant":["NE/L002450/1"],"identifier":"2e2e2970-eb78-4005-b271-7101e615186a","incomingCitationCount":0,"keyword":["Borneo","Malaysia","Sabah","Agriculture","Biodiversity","Land use","Clidemia hirta","oil palm","Melastoma","Agricultural landscapes","Conservation set-aside","Flora","Forest degradation","Forest Fragmentation","Herbivory","Invasive plants","Logging","Phytophagous herbivores","Plantae","Plant-animal interactions","Roundtable on Sustainable Palm Oil","Tropical rainforest","tropical forest","degradation"],"keywordsOther":["Clidemia hirta","oil palm","Melastoma","Agricultural landscapes","Conservation set-aside","Flora","Forest degradation","Forest Fragmentation","Herbivory","Invasive plants","Logging","Phytophagous herbivores","Plantae","Plant-animal interactions","Roundtable on Sustainable Palm Oil","Tropical rainforest","tropical forest","degradation"],"keywordsPlace":["Borneo","Malaysia","Sabah"],"keywordsTheme":["Agriculture","Biodiversity","Land use"],"licence":"Open government licence","lineage":"Field surveys were conducted in February – April 2019. The 21 sites were all in Roundtable on Sustainable Palm Oil-certified oil palm plantations. Rainforest remnants, where the forest transects were conducted, were mostly isolated forest fragments (n=15 sites) and six sites were connected to larger tracts of forest reserves outside the oil palm plantation boundary. \n\nAt each site, C.hirta plants were surveyed along two 100 m transects, at the forest-oil palm edge (n=21) and in disturbed forest (n=19). In one site the forest interior was not accessible, so a disturbed forest transect was not completed, and in another site, there were no suitable C. hirta inside the forest to survey. Within each transect, up to ten C. hirta plants were surveyed for measures of herbivory, and for each C. hirta plant surveyed, the nearest native Melastoma individual, if present, was also surveyed for herbivory. We recorded two measures of herbivory: herbivory occurrence (the proportion of leaves that had sustained herbivore damage) and intensity (percentage of leaf area removed). \n\nThe dataset also includes measurements of number of reproductive organs for both C. hirta and Melastoma spp, the density of C. hirta along the transect and forest structure (e.g. canopy cover).\n","locations":["POLYGON((115.2 4.2, 115.2 7.4, 119.4 7.4, 119.4 4.2, 115.2 4.2))"],"metadataDate":"2026-09-15T08:40:22.000Z","orcid":["0000-0003-2555-6390","0000-0003-1836-4112","0000-0002-1168-3914"],"organisation":["University of York","University of Stirling","Royal Botanical Gardens, Edinburgh","The South East Asia Rainforest Research Partnership","Forest Research Centre, Sandakan","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-04-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2e2e2970-eb78-4005-b271-7101e615186a","10.5285/2e2e2970-eb78-4005-b271-7101e615186a","doi:10.5285/2e2e2970-eb78-4005-b271-7101e615186a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains measurements of herbivory occurrence and herbivory intensity within 21 oil palm dominated sites in Sabah, Malaysian Borneo. Within each site, herbivory measurements were recorded for Clidemia hirta and Melastoma spp. plants along two 100m transects,…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Herbivory occurrence and intensity of Clidemia hirta and native Melastoma plants in oil palm-dominated landscapes containing embedded rainforest remnants, Sabah, Malaysian Borneo, 2019","topic":["0/Agriculture/","0/Biodiversity/","0/Land use/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Botswana International University of Science and Technology","Eduardo Mondlane University","University of Insubria","Dabane Trust","University of Aberdeen"],"authorFamilyName":["Franchi","Chirindja","Pasqualotto","Hussey","Comte"],"authorFullName":["Franchi, F.","Chirindja, F.J.","Pasqualotto, F.","Hussey, S.","Comte, J."],"authorGivenName":["F.","F.J.","S.","J-C."],"authorOrcid":["0000-0003-0313-5624","0000-0002-5129-8391"],"authorRor":["https://ror.org/05n8n9378","https://ror.org/00s409261","https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data set contains grain size distributions, organic matter (OM) content and trace metal distribution (including Fe, Zn, Cu, Cr and Pb) of 37 shallow cores of sediments sampled from dams across the Limpopo River Basin.\n\nThe dams include: Gaborone, Lotsane and Shashe dams in Botswana; Houtrivier, Nwanedi and Mutshedzi dams in South Africa; Ripple Creek and Zhovhe dams in Zimbabwe; and Massingir Dam in Mozambique. Data from two cores sampled from an oxbow lake in Mozambique are also included. \n\nThe cores were collected with a gravity corer using PVC pipes of 5 cm diameter by a team from Botswana International University of Science and Technology (BIUST) led by Dr. Franchi between July 2018 and April 2021.","documentType":"GEMINI_DOCUMENT","familyName":["Franchi","Chirindja","Pasqualotto","Hussey","Comte"],"fullName":["Franchi, F.","Chirindja, F.J.","Pasqualotto, F.","Hussey, S.","Comte, J."],"funder":["Natural Environment Research Council"],"givenName":["F.","F.J.","S.","J-C."],"grant":["NE/S005943/1"],"identifier":"b8db8239-3bde-454a-aa75-d1cec24c8763","incomingCitationCount":0,"keyword":["Gaborone dam","Lotsane dam","Shashe dam","Botswana","Mutshedzi dam","Houtrivier dam","Nwanedi dam","South Africa","Zhovhe dam","Ripple Creek dam","Massingir dam","Zimbabwe","Mozambique","sediment","limnology","fluvial resource","grain","dam"," sediments geochemistry","grain size"],"keywordsOther":["sediment","limnology","fluvial resource","grain","dam"," sediments geochemistry","grain size"],"keywordsPlace":["Gaborone dam","Lotsane dam","Shashe dam","Botswana","Mutshedzi dam","Houtrivier dam","Nwanedi dam","South Africa","Zhovhe dam","Ripple Creek dam","Massingir dam","Zimbabwe","Mozambique"],"licence":"Open government licence","lineage":"Grain size analysis was carried on wet samples dispersed in water and analysed with a Malvern Mastersizer 3000 laser diffraction particle size analyser at Botswana International University of Science and Technology (BIUST), Palapye (Botswana).b A few grams of the samples were dispersed into a glass container with half a spoon of sodium hexametaphosphate to prevent clays from flocculation. The data are reported as 10th percentile (Dx10), median (Dx50) and 90th percentile (Dx90).\nThe organic matter content was determined using Loss on Ignition (LOI) method whereby the samples were dried at 60 C for 24 hours to remove water content. The dried samples were placed in the funnel furnace at 550 C for 2 hours and then weighed again to determine LOI. Data are reported as percentage of mass loss during the ignition phase as compared with the initial mass of dried sample.\nThe sediments have been analysed for trace metal distribution using ICP-OES and ICP-MS on samples of sediments partially digested with aqua regia. All data are raw and unprocessed.\n","locations":["POLYGON((22.236 -32.547, 22.236 -14.945, 36.475 -14.945, 36.475 -32.547, 22.236 -32.547))"],"metadataDate":"2026-09-15T08:45:52.000Z","orcid":["0000-0003-0313-5624","0000-0002-5129-8391"],"organisation":["Botswana International University of Science and Technology","Eduardo Mondlane University","University of Insubria","Dabane Trust","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-04-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b8db8239-3bde-454a-aa75-d1cec24c8763","10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763","doi:10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/05n8n9378","https://ror.org/00s409261","https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"The data set contains grain size distributions, organic matter (OM) content and trace metal distribution (including Fe, Zn, Cu, Cr and Pb) of 37 shallow cores of sediments sampled from dams across the Limpopo River Basin.\n\nThe dams include: Gaborone, Lotsane and Shashe…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Sedimentological data from the Limpopo River Basin dams, southern Africa, 2018-2021","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Newell","Harris","Wanless","Burthe","Bogdanova","Gunn","Daunt"],"authorFullName":["Newell, M.A.","Harris, M.P.","Wanless, S.","Burthe, S.","Bogdanova, M.","Gunn, C.M.","Daunt, F."],"authorGivenName":["M.A.","M.P.","S.","M.","C.M.","F."],"authorOrcid":["0000-0002-4723-175X","0000-0002-1342-430X","0000-0002-2788-4606","0000-0001-8871-3432","0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains calculated return rates for five seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual return rates are measured as the number of individually colour marked individuals seen in any one year that were also observed in the previous year for the Atlantic puffin (Fratercula arctica), common guillemot (Uria aalge), razorbill (Alca torda), European shag (Phalacrocorax aristotelis) and black-legged kittiwake (Rissa tridactyla). Not every individual is seen in any one year and the data set does not take into account those missed in any previous years hence these data are not to be treated as survival estimates.  In the dataset, each year is represented by a single row of data, there are five columns showing the calculated return rates for each species (indicated by its common name and suffixed 'RR').  The figure quoted in any row is the proportion of marked birds which are observed by the end of the stated breeding season.  Each row also contains the number of individuals seen in that year and the number seen in the previous year, taking into account new individuals which are marked.","documentType":"GEMINI_DOCUMENT","familyName":["Newell","Harris","Wanless","Burthe","Bogdanova","Gunn","Daunt"],"fullName":["Newell, M.A.","Harris, M.P.","Wanless, S.","Burthe, S.","Bogdanova, M.","Gunn, C.M.","Daunt, F.","Newell, M."],"funder":["Joint Nature Conservation Committee (JNCC)","Natural Environment Research Council"],"givenName":["M.A.","M.P.","S.","M.","C.M.","F.","Mark"],"grant":["NE/R016429/1"],"identifier":"1624fe45-0deb-4bcd-9f13-75578693aaae","incomingCitationCount":0,"keyword":["Isle of May","UK-SCAPE","Return rate","Atlantic Puffin","Black-legged kittiwake","Common guillemot","European shag","Razorbill","Long-term data","Uria aalge","Fratercula arctica","Alca torda","Rissa tridactyla","Phalacrocorax aristotelis"],"keywordsOther":["Return rate","Atlantic Puffin","Black-legged kittiwake","Common guillemot","European shag","Razorbill","Long-term data","Uria aalge","Fratercula arctica","Alca torda","Rissa tridactyla","Phalacrocorax aristotelis"],"keywordsPlace":["Isle of May"],"keywordsProject":["UK-SCAPE"],"licence":"Open government licence","lineage":"Standardised monitoring of seabirds commenced in 1987 at which point a proportion of the population of the five study species were individually colour marked.  As a result the first year of data examining return rate was in 1988 when these individuals returned to breed.  The number of plots of individually colour marked birds varies between species and new individuals are marked every year in order to ensure the marked population is maintained at an adequate level for analysis.","locations":["POLYGON((-2.597 56.168, -2.597 56.206, -2.517 56.206, -2.517 56.168, -2.597 56.168))"],"metadataDate":"2026-09-15T08:40:51.000Z","orcid":["0000-0002-4723-175X","0000-0002-1342-430X","0000-0002-2788-4606","0000-0001-8871-3432","0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1624fe45-0deb-4bcd-9f13-75578693aaae","10.5285/1624fe45-0deb-4bcd-9f13-75578693aaae","doi:10.5285/1624fe45-0deb-4bcd-9f13-75578693aaae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains calculated return rates for five seabird species from representative colonies on the Isle of May, off the East coast of Scotland. Annual return rates are measured as the number of individually colour marked individuals seen in any one year that…","state":"published","temporalExtentText":"Data collected from 1988 to 2021","title":"The Isle of May long-term study (IMLOTS) seabird annual return rate 1988-2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Rowland","O'Neil","Morton"],"authorFullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"authorGivenName":["C.","C.S.","A.W.","R.D."],"authorOrcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty.  A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil","Morton"],"fullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.S.","A.W.","R.D.","Chris"],"grant":["NE/R016429/1"],"identifier":"a1f85307-cad7-4e32-a445-84410efdfa70","incomingCitationCount":1,"keyword":["Land cover","Mapping","Biodiversity Action Plan","Great Britain","habitat","land cover"],"keywordsOther":["Biodiversity Action Plan","Great Britain","habitat","land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. 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 LCM2021 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:06:41.000Z","orcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a1f85307-cad7-4e32-a445-84410efdfa70","10.5285/a1f85307-cad7-4e32-a445-84410efdfa70","doi:10.5285/a1f85307-cad7-4e32-a445-84410efdfa70"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Land Cover Map 2021 (25m rasterised land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Roma Tre University"],"authorFamilyName":["Feeney","Robinson","Thomas","Borrelli","Cooper","May"],"authorFullName":["Feeney, C.J.","Robinson, D.A.","Thomas, A.R.C.","Borrelli, P.","Cooper, D.M.","May, L."],"authorGivenName":["C.J.","D.A.","A.R.C.","P.","D.M.","L."],"authorOrcid":["0000-0003-2175-1842","0000-0001-7290-4867","0000-0002-4929-7285","0000-0002-4767-5115","0000-0001-7578-7918","0000-0003-3385-9973"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil; flux rates of soil organic carbon via erosion (t SOC ha-1 yr-1); flux rates of soil nitrogen via erosion (t N ha-1 yr-1); and flux rates of soil phosphorous via erosion (t P ha-1 yr-1). The dataset comes in the form of  three multi-band raster GeoTiff files, structured as follows:\n\nLC16_Results.tif:  Model predictions generated under the 2016 Copernicus Land Cover Map at 30-metre resolution (five bands)\nMitigation_scenarios.tif:  Predicted reductions in erosion rates in the event of implementing mitigation scenarios described in sixteen  different scenarios (sixteen bands).\nPNV_Results.tif: Same structure as LC16_Results.tif, but stores predictions generated under the Potential Natural Vegetation cover map for East Africa at 30-metre resolution (five bands)","documentType":"GEMINI_DOCUMENT","familyName":["Feeney","Robinson","Thomas","Borrelli","Cooper","May"],"fullName":["Feeney, C.J.","Robinson, D.A.","Thomas, A.R.C.","Borrelli, P.","Cooper, D.M.","May, L."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","D.A.","A.R.C.","P.","D.M.","L."],"grant":["NE/X006247/1"],"identifier":"86d07d98-2956-4395-8b02-29dd5d98e6be","incomingCitationCount":2,"keyword":["Kenya","Soil erosion","Topsoil nutrient fluxes","Topsoil lifespans","Land degradation"],"keywordsPlace":["Kenya"],"keywordsTheme":["Soil erosion","Topsoil nutrient fluxes","Topsoil lifespans","Land degradation"],"licence":"Open government licence","lineage":"Topsoil (0-20 cm) erosion rates were predicted by applying the Revised Universal Soil Loss Equation to 4 spatial layers (full details are provided in the supporting documentation file).\nIn the case of Mitigation_scenarios.tif, we multiplied the erosion rate predictions in LC16_Results.tif by coefficients that represent various mitigation scenarios on cropland. These predictions were then subtracted from the LC16_Results.tif erosion rate predictions to produce estimated erosion rate reductions under sustainable land-use scenarios.\nTopsoil nutrient concentration maps were combined with erosion rate predictions to estimate rates of soil organic carbon, nitrogen and phosphorous fluxes with soil loss. Topsoil bulk density predictions were combined with erosion rate predictions to estimate topsoil lifespans across Kenya. Predicted soil erosion rates and topsoil lifespans were evaluated against available observational measurements and shown to be reasonably accurate. No observational data on soil organic carbon, nitrogen or phosphorous fluxes via erosion were available for evaluation purposes.\nTo reduce the overall sizes of each data file, we converted the data from floating point to integer format. Before converting our data, we multiplied each raster layer (individual band in our GeoTiffs) by a conversion factor appropriate to the number of decimal places for each property (see Supporting Documentation for more details). The user of our data will thus need to divide the values stored in our raster layers by a conversion factor to get the “true” values.\nAfter converting our data into integer format, each raster band was harmonised to the same coordinate reference system and spatial extent before stacking into multi-band GeoTiff files. Please note that while within each of the 3 files, the spatial extents are identical, between the 3 files, the spatial extents differ. This is because the LC16_Results.tif layers include predictions for the Ilemi Triangle in northwest Kenya, whereas the PNV_Results.tif layers do not. The Mitigation_scenarios.tif layers meanwhile cover only Kenya’s croplands.\n","locations":["POLYGON((33.267 -5.354, 33.267 5.572, 42.275 5.572, 42.275 -5.354, 33.267 -5.354))"],"metadataDate":"2026-07-25T08:38:54.000Z","orcid":["0000-0003-2175-1842","0000-0001-7290-4867","0000-0002-4929-7285","0000-0002-4767-5115","0000-0001-7578-7918","0000-0003-3385-9973"],"organisation":["UK Centre for Ecology & Hydrology","Roma Tre University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/86d07d98-2956-4395-8b02-29dd5d98e6be","10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be","doi:10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil; flux rates of soil organic carbon via erosion (t SOC ha-1 yr-1); flux rates…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution","version":1.0,"view":["public","tinzha"]},{"altTitle":["CS2000","Countryside Survey 1998"],"availability":"Unknown","catalogue":"eidc","description":"A range of data has been gathered under the Countryside Survey project including habitat areas, vegetation species, soil data, linear feature data and freshwater habitats. Data in this series were gathered in the 1998 survey in Great Britain (in a project known as Countryside Survey 2000). Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. The 1km square sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of Britain. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of survey squares.","documentType":"GEMINI_DOCUMENT","identifier":"b535ca33-c5e3-48fa-9912-ee9c0502ba1b","incomingCitationCount":0,"keyword":["vegetation","habitats","Great Britain","Environmental survey"],"keywordsOther":["Great Britain","Environmental survey"],"keywordsTheme":["vegetation","habitats"],"licence":"Non-Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1998 by surveyors (a few sites were surveyed in 1999). Data were recorded from 569 1km squares sited across Britain, selected by random stratified sample. Data were digitized in the 1998-2000 at the Institute of Terrestrial Ecology, Merlewood and are managed by the Centre for Ecology & Hydrology, Lancaster.","locations":["POLYGON((-8.648 49.863, -8.648 60.86, 1.7675 60.86, 1.7675 49.863, -8.648 49.863))"],"metadataDate":"2026-07-25T12:55:12.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-01-28T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1350386973723","CEH:EIDC::1350386973723","https://catalogue.ceh.ac.uk/id/b535ca33-c5e3-48fa-9912-ee9c0502ba1b"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A range of data has been gathered under the Countryside Survey project including habitat areas, vegetation species, soil data, linear feature data and freshwater habitats. Data in this series were gathered in the 1998 survey in Great Britain (in a project known as Countryside…","state":"published","temporalExtentText":"Data collected from 1998 to 1999","title":"Countryside Survey 2000","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Cambridge","University of Exeter"],"authorFamilyName":["Jackson","Bittencourt","Coomes"],"authorFullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A."],"authorGivenName":["T.D. ","P.","D.A. "],"authorOrcid":["0000-0001-8143-6161","0000-0002-1618-9077","0000-0002-8261-2582"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Bittencourt","Coomes"],"fullName":["Jackson, T.D.","Bittencourt, P.","Coomes, D.A.","Jackson, T."],"funder":["Natural Environment Research Council"],"givenName":["T.D. ","P.","D.A. ","Toby"],"grant":["NE/S010750/1"],"identifier":"f03806fa-3596-4119-90c5-70254f39cfc0","incomingCitationCount":0,"keyword":["Panama","Barro Colorado Island","Hydrology","Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsOther":["Bending strain","Tree mortality","ecology","forest","wind","tree","risk"],"keywordsPlace":["Panama","Barro Colorado Island"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Bending strain sensors were designed and installed on the trees in Barro Colorado Island, Panama. These sensors recorded the bending strain (in mV) at 4 Hz resolution and transmitted it (in binary format) to a data logger where it was saved on an SD. \nThe data was collected from the SD cards and converted from binary format to csv files. The mV measurements were converted to bending strain by multiplying by a fixed calibration coefficient. This 4 Hz bending strain data is provided here. ","locations":["POLYGON((-79.876 9.133, -79.876 9.18, -79.819 9.18, -79.819 9.133, -79.876 9.133))"],"metadataDate":"2026-09-15T08:45:06.000Z","orcid":["0000-0001-8143-6161","0000-0002-1618-9077","0000-0002-8261-2582"],"organisation":["University of Cambridge","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f03806fa-3596-4119-90c5-70254f39cfc0","10.5285/f03806fa-3596-4119-90c5-70254f39cfc0","doi:10.5285/f03806fa-3596-4119-90c5-70254f39cfc0"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/04xw4m193","https://ror.org/013meh722"],"shortenedDescription":"This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.\n\nThis data was collected for the purpose…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}