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These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wilkinson"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wilkinson, M."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"e1d33b37-f1d4-4234-a0d5-8bf4e657f653","incomingCitationCount":10,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental Change Network","ILTER","LTER","Rainfall","Temperature","Wind speed","Wind Direction","Soil Temperature","Weather","Sunshine","atmosphere","duration of sunshine","atmospheric precipitation","weather","soil water","climate","albedo","rain","meteorology","solar radiation"],"keywordsOther":["Environmental Change Network","ILTER","LTER","Rainfall","Temperature","Wind speed","Wind Direction","Soil Temperature","Weather","Sunshine","atmosphere","duration of sunshine","atmospheric precipitation","weather","soil water","climate","albedo","rain","meteorology","solar radiation"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"licence":"Non-Open government licence","lineage":"Data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:17:25.000Z","orcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338"],"organisation":["UK Environmental Change Network","Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e1d33b37-f1d4-4234-a0d5-8bf4e657f653","10.5285/e1d33b37-f1d4-4234-a0d5-8bf4e657f653","doi:10.5285/e1d33b37-f1d4-4234-a0d5-8bf4e657f653"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Meteorology data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include albedo (ground and sky), temperature (dry bulb, wet bulb and soil (at 10cm and 30cm)), relative humidity, radiation (net. and solar), rainfall, surface wetness,…","state":"published","supplementalName":["ECN Web Site"],"title":"UK Environmental Change Network (ECN) meteorology data: 1992-2012","version":1.0,"view":["public","srennie"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","BioSS"],"authorFamilyName":["Leedham","Searle","Harris","Newell","Wanless","Mobbs","Butler","Daunt"],"authorFullName":["Leedham, O.","Searle, K.R.","Harris, M.P.","Newell, M.","Wanless, S.","Mobbs, D.C.","Butler, A.","Daunt, F."],"authorGivenName":["O.","K.R.","M.P.","M.","S.","D.C.","A.","F."],"authorOrcid":["https://orcid.org/0000-0002-7177-8237","https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0001-5842-2247","https://orcid.org/0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation to and energetic costs of core activities and other energetically important processes of seabirds during chick-rearing-an energetically demanding period with important implications for population demography. The purpose of this dataset is to collate and standardise important energetic and demographic parameters to underpin energetic, behavioural and demographic modelling analyses for key seabird species. Data primarily correspond to measurements of seabirds breeding in the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Leedham","Searle","Harris","Newell","Wanless","Mobbs","Butler","Daunt"],"fullName":["Leedham, O.","Searle, K.R.","Harris, M.P.","Newell, M.","Wanless, S.","Mobbs, D.C.","Butler, A.","Daunt, F."],"funder":["Natural Environment Research Council","UKCEH"],"givenName":["O.","K.R.","M.P.","M.","S.","D.C.","A.","F."],"grant":["NE/X009068/1","NE/Y006208/1"],"identifier":"07b1105a-4a14-47e3-b491-9af59be90aff","incomingCitationCount":0,"keyword":["UK","Europe","Animal behaviour","Seabirds","energetics","biometrics","time activity budgets","energetic costs","foraging","flying","resting","chick provisioning","body mass","BMR","metabolism","tissue energy density","prey energy density","chick rearing","warming food","digestive assimilation efficiency","Common guillemot","Uria aalge","Black-legged kittiwake","Rissa tridactyla","Atlantic puffin","Fratercula arctica","razorbill","Alca torda","animal behaviour"],"keywordsOther":["Seabirds","energetics","biometrics","time activity budgets","energetic costs","foraging","flying","resting","chick provisioning","body mass","BMR","metabolism","tissue energy density","prey energy density","chick rearing","warming food","digestive assimilation efficiency","Common guillemot","Uria aalge","Black-legged kittiwake","Rissa tridactyla","Atlantic puffin","Fratercula arctica","razorbill","Alca torda","animal behaviour"],"keywordsPlace":["UK","Europe"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"A combination of data sourced directly, converted, or derived from existing primary literature, and long-term study data. The provenance of the data for each parameter per species is described in full in the supporting documentation, section Parameter calculations and sources.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:55:20.000Z","orcid":["https://orcid.org/0000-0002-7177-8237","https://orcid.org/0000-0003-4624-9023","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0001-5842-2247","https://orcid.org/0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","BioSS","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07b1105a-4a14-47e3-b491-9af59be90aff","10.5285/07b1105a-4a14-47e3-b491-9af59be90aff","doi:10.5285/07b1105a-4a14-47e3-b491-9af59be90aff"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reviews key behavioural and physiological traits of four species of seabirds: Common guillemot Uria aalge; Razorbill Alca torda; Atlantic puffin Fratercula arctica; and Black-legged kittiwake Rissa tridactyla. These data describe the daily time allocation…","state":"published","title":"Time-activity budgets and energetics of common guillemot, razorbill, Atlantic puffin, and black-legged kittiwake","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg"],"authorFamilyName":["Tanguy","Bachmair","Stahl","Hannaford"],"authorFullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"authorGivenName":["M.","S.","K.","J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0245cg223"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has gridded data for Europe for three drought indicators:\n - the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index);\n - the Temperature Condition Index (TCI) based on remotely sensed LST (Land Surface Temperature);\n - the Vegetation Health Index (VHI) which is a combination of VCI and TCI.\n\nThese three drought indicators have been extracted for European NUTS regions (level 0, 1, 2 and 3). These have been masked with a land use land cover map to be able to study different responses for various land cover types. A simplified LULC was created, with only four classes: forest, crop, shrub and grass. One extra time series was created for all classes together.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Bachmair","Stahl","Hannaford"],"fullName":["Tanguy, M.","Bachmair, S.","Stahl, K.","Hannaford, J."],"givenName":["M.","S.","K.","J."],"identifier":"5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","incomingCitationCount":1,"keyword":["Environmental risk","Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsOther":["Vegetation Condition Index ","VCI","Normalised Difference Vegetation Index","NVDI","moderate-resolution imaging spectroradiometer","MODIS","Land Surface Temperature","LST","Temperature Condition Index ","TCI","DrIVER","NUTS","crops","shrubs","monitoring and early warning system","Nomenclature of Territorial Units for Statistics","Nomenclature des unités territoriales statistiques","drought","grass","forest","land cover","land use"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Time series for three drought indicators based on remote sensing have been extracted for European NUTS regions (level 0, 1, 2 and 3). The Nomenclature of Territorial Units for Statistics, (NUTS, for the French Nomenclature des unités territoriales statistiques), developed by the European Union, is a geocode standard for referencing the administrative divisions of countries for statistical purposes. A land use mask was applied to extract the time series, to differentiate the contribution of crops, grass, forest and shrubs. There is also one time series for each NUTS region which includes all classes. The land cover product used to produce the mask was remote sensing MODIS product MCD12C1 (year 2012) which has a 0.05 degree resolution. The three drought indicators extracted are (i) the Vegetation Condition Index (VCI) based on satellite product NDVI (Normalised Difference Vegetation Index) (ii) the Temperature Condition Index based on remotely sensed LST (Land Surface Temperature) and (iii) the Vegetation Health Index (VHI) which is a combination of VCI and TCI. These indicators were first calculated as a gridded product for Europe with a 0.05 degree resolution and monthly time step (2000-2015), using MODIS product MOD13C2 for NDVI, and MODIS product MOD11C3 for LST, following methodology described by Kogan (1995; https://doi.org/10.1016/0273-1177(95)00079-T). The time series were then extracted applying the simplified land use classification mask (crops, forest, grass, shrubs) to each NUTS region, and an additional time series for all classes. For each time step, a value was produced only if at least 50% of the pixels within the non-masked area had valid values.\n\nNOTE: there are two types of \"No Data\" value. Value '--' means there were no pixels with valid values within the non-masked area. Value 'nan' means there were some pixels with valid values within the non-masked area, but these covered less than 50% of the area. These time steps were discarded as less than 50% was considered not representative enough of the whole area.\n","locations":["POLYGON((-15 30, -15 75, 45 75, 45 30, -15 30))"],"metadataDate":"2026-06-27T19:16:24.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Albert-Ludwigs-University of Freiburg","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e","doi:10.5285/5b3fcf9f-19d4-4ad3-a8bb-0a5ea02c857e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists in a collection of remotely sensed drought indicators time series. The data was extracted from CEH's gridded remotely sensed drought indicators product (Tanguy et al., 2016; http://doi.org/10.5285/4e0d0e50-2f9c-4647-864d-5c3b30bb5f4b), which has…","state":"published","title":"Drought indicator time series for European NUTS regions based on remote sensing data (2000-2015)","topic":["0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh"],"authorFamilyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"authorFullName":["Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"authorGivenName":["James","Joan","Richard","Annika","Stephen"],"authorOrcid":["https://orcid.org/0009-0003-0514-4644"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03wcc3744","https://ror.org/01nrxwf90"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data describe the rates of filled, viable and germinating seeds from over 60 maternal juniper trees from across the UK. 12 populations from the Scottish Highlands to Southern English Downs were sampled in Fall 2023. Four different methods of seed viability testing were applied, and germination was monitored for over a year in response to nine different combinations of pretreatments and stratifications. Reproducible analyses and visualizations from an associated study are provided with an R project. This trial was conducted to determine the optimal treatment for juniper stratification and to quantify the variability in seedlot quality/viability among populations.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Cottrell","Ennos","Perry","Cavers"],"fullName":["James Baker","Baker, J.","Cottrell, J.","Ennos, R.","Perry, A.","Cavers, S."],"funder":["Forest Research","Scottish Forestry Trust","The Botanist Foundation","UK Centre for Ecology & Hydrology","Natural Environment Research Council"],"givenName":["James","Joan","Richard","Annika","Stephen"],"grant":["NE/V019813/1"],"identifier":"64607f86-0228-4a03-9d87-6e36435028a1","incomingCitationCount":0,"keyword":["Evolutionary ecology","germination","stratification","Common Juniper","seed (biology)","plant population","conservation","conservation of species","forest conservation","forest biodiversity"],"keywordsOther":["germination","stratification","Common Juniper","seed (biology)","plant population","conservation","conservation of species","forest conservation","forest biodiversity"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"Berries were collected from populations in fall 2023, weighed, and inspected for parasitism. Seeds were extracted with a food processor; filled and empty seeds were separated using the float test, then surface sanitized and dried. Dried seeds were weighed  and stored at 4 degrees C until used. Seeds were then treated with  one of two different pretreatments, consisting of soaking them in water or a 1% Citric Acid solution for 48 hours. A Control group was also included that was not pretreated. Next, seeds were subject to one of 4 different thermal stratification treatments: A warm stratification followed by a cold stratification; just a warm stratification; just a cold stratification; and a control without a stratification treatment. Germination was then monitored for over a year, and the differences among seedlots, populations and regions of the UK were quantified. \nAdditional seedlot quality and seed viability data were also collected for all 60 seedlots included in the germination trial. The field cut test (the proportion of seeds that are visibly filled with healthy embryonic tissue when bisected), the estimated numbers of filled and empty seeds from the float test, tetrazolium chloride (TZ) staining and X-ray viability are each applied to each seedlot. These results are then compared and contrasted to evaluate their relative accuracy and precision.","locations":["POLYGON((-8.702 49.864, -8.702 59.445, 1.768 59.445, 1.768 49.864, -8.702 49.864))"],"metadataDate":"2026-06-27T13:19:34.000Z","orcid":["https://orcid.org/0009-0003-0514-4644"],"organisation":["UK Centre for Ecology & Hydrology","Forest Research","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/64607f86-0228-4a03-9d87-6e36435028a1","10.5285/64607f86-0228-4a03-9d87-6e36435028a1","doi:10.5285/64607f86-0228-4a03-9d87-6e36435028a1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03wcc3744","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"These data describe the rates of filled, viable and germinating seeds from over 60 maternal juniper trees from across the UK. 12 populations from the Scottish Highlands to Southern English Downs were sampled in Fall 2023. Four different methods of seed viability testing…","state":"published","title":"Seed traits, seed viability and germination rates of seeds collected from 12 natural Juniper (Juniperus communis) populations in the UK, 2023-2025","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS)","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University"],"authorFamilyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"authorFullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"authorGivenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"authorOrcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","https://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0001-5370-4894"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. \n\nThe yield loss calculations were done as part of the NERC funded SUNRISE project and National Capability Project NC-Air quality impacts on food security, ecosystems and health.","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Mills","Simpson","Pleijel","Frei","Burkey","Emberson","Uddling","Broberg","Feng","Kobayashi","Agrawal"],"fullName":["Sharps, K.","Mills, G.","Simpson, D.","Pleijel, H.","Frei, M.","Burkey, K.","Emberson, L.","Uddling, J.","Broberg, M.","Feng, Z.","Kobayashi, K.","Agrawal, M."],"funder":["Natural Environment Research Council"],"givenName":["K.","G. ","D. ","H. ","M. ","K. ","L. ","J. ","Z.","M."],"grant":["NE/R000131/1"],"identifier":"2a932995-f040-4724-ad21-3e92ae8a2540","incomingCitationCount":1,"keyword":["SUNRISE","Agriculture","Environmental risk","Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsOther":["Triticum aestivum","Glycine max","Zea may","Oryza sativa"],"keywordsProject":["SUNRISE"],"keywordsTheme":["Agriculture","Environmental risk"],"licence":"Open government licence","lineage":"A 1 degree by 1 degree grid was created using ArcMap. Crop production data (0.0833 degree resolution) from the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) dataset (for the year 2000) was downloaded. Irrigated and non-irrigated production data was collected for each crop type. For each crop, total production was summed per 1 degree by 1 degree grid cell. Then average production for the period 2010-2012 for each grid cell was estimated using a conversion factor from FAO national crop production data, based on the difference between average production for the period 1999-2001 and 2010-2012. For each crop, only grid cells with greater than 500 tonnes crop production were included when mapping yield loss.\n\nEach grid cell was classed as either irrigated (greater than 75 percent irrigated crop production) or non-irrigated. Grid cells were also assigned to a hemisphere (Northern or Southern) and a climatic zone. For each hemisphere/climatic zone combination, a 90-day growing period was set, based on the main growing season per year for each crop.\n\nThe EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre‐West) chemical transport model (version 4.16) was used to calculate daily ozone flux (POD3IAM; phytotoxic ozone dose above 3 nmol m−2 s−1, parameterized for integrated assessment modelling) for the years 2010 - 2012. For each crop, the accumulated 90-day POD3IAM was calculated per grid cell based on the climate-specific growing period for the cell, and an average value calculated for the period 2010-2012.\n\nYield loss was calculated using the ozone dose-response relationship for wheat, following the most recent methodology adopted by the Convention for Long-Range Transboundary Air Pollution (CLRTAP) in 2017. First, a reference value of POD3IAM = 0.1mmol/m2 (used to represent ozone uptake at pre-industrial or natural ozone levels) was subtracted before yield loss was calculated. This value was the mean POD3IAM for the experimental conditions included in the dose-response relationship, assuming constant 10 ppb ozone throughout the 90-day period.\n\nThe equation used to calculate percentage yield loss was as follows:\n     percentage Yield Loss = (POD3IAM – 0.1) * 0.64                                                                         \nwhere 0.64 is the slope of the relationship between POD3IAM and percentage yield reduction and represents the percentage reduction per mmol/m2 POD3IAM.\n\nFor maize, rice and soybean, the POD3IAM values per grid cell were first used to calculate percentage yield loss using the equation for wheat. Then the relative ozone sensitivity of each crop compared to wheat was calculated by dividing the slope of the M7 (7-hour mean ozone concentration) response function for the crop by that for wheat. For each grid cell, the percentage yield loss for wheat was multiplied by the relative ozone sensitivity value, to calculate the final estimated percentage yield loss for each crop. \n\nPercentage yield loss values were added to the 1 degree by 1 degree grid and saved as GIS shapefiles, one per crop for ingestion into the EIDC.\n\nAn evaluation of EMEP model performance found a strong correlation between modelled and measured ozone data from Global Atmosphere Watch (GAW) sites. The EMEP model was found to capture spatial and temporal variations in ozone across regions.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T19:13:43.000Z","orcid":["https://orcid.org/0000-0003-3265-1505","https://orcid.org/0000-0001-9538-3208","https://orcid.org/0000-0002-6975-5984","https://orcid.org/0000-0002-2474-6558","https://orcid.org/0000-0001-5370-4894"],"organisation":["UK Centre for Ecology & Hydrology","Norwegian Meteorological Institute","University of Gothenburg","University of Bonn","United States Department of Agriculture – Agricultural Research Service  (USDA‐ARS)","Stockholm Environment Institute at York","Chinese Academy of Sciences","The University of Tokyo","Banaras Hindu University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-07-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2a932995-f040-4724-ad21-3e92ae8a2540","10.5285/2a932995-f040-4724-ad21-3e92ae8a2540","doi:10.5285/2a932995-f040-4724-ad21-3e92ae8a2540"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/001n36p86","https://ror.org/01tm6cn81","https://ror.org/041nas322","https://ror.org/02d2m2044","https://ror.org/051xgzg37","https://ror.org/034t30j35","https://ror.org/057zh3y96","https://ror.org/04cdn2797","https://ror.org/04xw4m193"],"shortenedDescription":"Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are…","state":"published","supplementalDescription":["Mills, G., Sharps, K., Simpson, D., Pleijel, H., Broberg, M., Uddling, J., … Van Dingenen, R. (2018). Ozone pollution will compromise efforts to increase global wheat production. Global Change Biology, 24(8), 3560–3574.\n\n","Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L. D., Fagerli, H., Flechard, C. R., Hayman, G. D., Gauss, M., Jonson, J. E., Jenkin, M. E., Nyíri, A., Richter, C., Semeena, V. S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., & Wind, P. (2012). The EMEP MSC-W chemical transport model – technical description. Atmospheric Chemistry and Physics, 12(16), 7825–7865. "],"supplementalName":["Report","SUNRISE website","EMEP website"],"title":"Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2","topic":["0/Agriculture/","0/Environmental risk/"],"version":2.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","description":"LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a 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, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. This dataset consists of 1km percentages per Target Class. Northern Ireland only.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"d1775d53-f51f-4d87-a774-41c992750d90","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-04-22T14:41:37.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d1775d53-f51f-4d87-a774-41c992750d90"],"resourceType":"Service","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"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…","state":"published","title":"Land Cover Map 2007 (1km percentage target class, N. Ireland) Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service shows bee nectar plant richness across Great Britain .  The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, precipitation and altitude. \n\nThe map has the following layers: plantCount = a modelled estimate of the count of all bee nectar plants within a 1km by 1km square, SEM = a measure of the variance of the plantCount attribute\n\nUnderstanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination.","documentType":"GEMINI_DOCUMENT","identifier":"2be6d1c5-7b82-4d83-9291-defa59aa8aae","incomingCitationCount":0,"keyword":["Biodiversity","Pollinators","infoMapAccessService "],"keywordsOther":["infoMapAccessService "],"keywordsTheme":["Biodiversity","Pollinators"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:19:34.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2be6d1c5-7b82-4d83-9291-defa59aa8aae"],"resourceType":"Service","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This web map service shows bee nectar plant richness across Great Britain .  The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables…","state":"published","title":"Web map service for bee nectar plant diversity of Great Britain","topic":["0/Biodiversity/","0/Pollinators/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"A collection of related datasets generated during the NERC Ecosystem Services for Poverty Alleviation (ESPA) Programme covering areas in Africa, Asia and South America.\n\nESPA is a global interdisciplinary research programme funded by the United Kingdom's Department for International Development (DFID), the Natural Environment Research Council (NERC) and the Economic and Social Research Council (ESRC).  \n\nThe ESPA programme aims to deliver high-quality, cutting-edge research that will improve understanding of the way ecosystems function, the services they provide and their relationship with the political economy and sustainable growth and provide the evidence and tools to enable decision-makers to manage ecosystems sustainably and in a way that contributes to poverty alleviation.\n\nESPA's goal is to ensure that, in developing countries, ecosystems are being sustainably managed in a way that contributes to poverty alleviation as well as to inclusive and sustainable growth.","documentType":"GEMINI_DOCUMENT","identifier":"9e18a47d-d670-4fb0-95b0-86db6e957034","incomingCitationCount":0,"licence":"Open government licence","lineage":"See catalogue records for the quality statements for each dataset.","locations":["POLYGON((-118.828 -57.704, -118.828 44.59, 157.5 44.59, 157.5 -57.704, -118.828 -57.704))"],"metadataDate":"2026-03-02T09:43:58.000Z","organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-01T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e18a47d-d670-4fb0-95b0-86db6e957034"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"A collection of related datasets generated during the NERC Ecosystem Services for Poverty Alleviation (ESPA) Programme covering areas in Africa, Asia and South America.\n\nESPA is a global interdisciplinary research programme funded by the United Kingdom's Department…","state":"published","supplementalDescription":["Related datasets from the NERC ESPA programme held at UK Data Service"],"supplementalName":["UKDS-held data resources","ESPA programme website"],"title":"NERC Ecosystem Services for Poverty Alleviation (ESPA) Programme datasets","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["English Nature","Centre for Ecology & Hydrology","Alterra","University of Liverpool","Woodland Trust","The Nature Conservancy"],"authorFamilyName":["Kirby","Smart","Black","Bunce","Corney","Smithers","Shaw"],"authorFullName":["Kirby, K.J.","Smart, S.M.","Black, H.I.J.","Bunce, R.G.H.","Corney, P.M.","Smithers, R.J.","Shaw, M.W."],"authorGivenName":["K.J.","S.M.","H.I.J.","R.G.H.","P.M.","R.J.","M.W."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04xs57h96","https://ror.org/05e9eyh13","https://ror.org/00gcd8h55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset consists of diameter at breast height (DBH) measurements taken from trees and shrubs recorded in plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using exactly the same field methods.  Data were collected under projects managed by The Nature Conservancy (in 1971) and the Centre for Ecology & Hydrology (in 2001).   ","documentType":"GEMINI_DOCUMENT","familyName":["Kirby","Smart","Black","Bunce","Corney","Smithers","Shaw"],"fullName":["Kirby, K.J.","Smart, S.M.","Black, H.I.J.","Bunce, R.G.H.","Corney, P.M.","Smithers, R.J.","Shaw, M.W."],"givenName":["K.J.","S.M.","H.I.J.","R.G.H.","P.M.","R.J.","M.W."],"identifier":"4d93f9ac-68e3-49cf-8a41-4d02a7ead81a","incomingCitationCount":1,"keyword":["Britain","30 years"],"keywordsOther":["30 years"],"keywordsPlace":["Britain"],"licence":"Open government licence","lineage":"Data were collected on paper from 103 woodlands by field surveyors employed by The Nature Conservancy, Merlewood Research Station, Cumbria (in 1971) and employed under a project managed by the Centre for Ecology & Hydrology (in 2000-2003). Extensive training was undertaken by surveyors. Collected data were double punched into spreadsheets as a form of quality control before being compiled into a database. Data collected are available as 4 separate datasets: flora data, soil data, tree diameter data and site details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:52:34.000Z","organisation":["English Nature","Centre for Ecology & Hydrology","Alterra","University of Liverpool","Woodland Trust","The Nature Conservancy","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2013-12-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1382103267855","CEH:EIDC::1382103267855","https://catalogue.ceh.ac.uk/id/4d93f9ac-68e3-49cf-8a41-4d02a7ead81a","10.5285/4d93f9ac-68e3-49cf-8a41-4d02a7ead81a","doi:10.5285/4d93f9ac-68e3-49cf-8a41-4d02a7ead81a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xs57h96","https://ror.org/05e9eyh13","https://ror.org/00gcd8h55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset consists of diameter at breast height (DBH) measurements taken from trees and shrubs recorded in plots in 103 woodland sites surveyed across Great Britain in 1971 and again over the growing seasons of 2000, 2002 and 2003 (referred to as '2001 survey'), using…","state":"published","supplementalDescription":["Kirby, K.J., Smart, S.M., Black, H.I.J., Bunce, R.G.H., Corney, P.M., Smithers, R.J. (2005) Measuring Long Term Ecological Change in British woodlands (1971-2001): A re-survey and analysis of change based on the 103 sites in the ITE/NCC 'Bunce 1971' woodland survey. English Nature Research Reports 653."],"title":"Woodlands survey tree diameter data 1971-2001","version":1.0,"view":["public","mfry"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme "],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of fixed plots at the metre-scale. Other information includes the date of sampling, data regarding the spatial location of the plot, and an assessment of whether or not the recorded broad habitat is reported to have changed between surveyor visits.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme "],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1"],"identifier":"a12b5c70-c0e2-48cf-b0b7-3e95791feca9","incomingCitationCount":0,"keyword":["Environmental survey","National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsOther":["National Plant Monitoring Scheme","validation","training","plant community","vegetation","earth observation","habitat","environmental monitoring"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme (NPMS) website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 48.137, -8.648 60.861, 2.944 60.861, 2.944 48.137, -8.648 48.137))"],"metadataDate":"2026-05-11T18:11:15.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-03-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9","doi:10.5285/a12b5c70-c0e2-48cf-b0b7-3e95791feca9"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data resource provides plot-level habitat data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of surveyor-recorded habitat information on repeated samples of…","state":"published","supplementalName":["Indicia database system","National Plant Monitoring Scheme website"],"title":"Habitat samples from the National Plant Monitoring Scheme, 2015-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated","Botanical Society of Britain and Ireland","Vegetation Survey and Assessment Ltd"],"authorFamilyName":["Ridding","Hawes","Walls","Pilkington","Bailey","Pywell","Pescott"],"authorFullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Pilkington, S.L.","Bailey, J.","Pywell, R.F.","Pescott, O.L."],"authorGivenName":["L.E. ","P. ","R. ","S.L.","J.","R.F.","O.L."],"authorOrcid":["https://orcid.org/0000-0003-3141-8795","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02krbn758"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vascular plant and bryophyte survey data from a 33-year chronosequence on bare chalk, used to investigate primary succession. The bare chalk plots were created from archaeological excavations on Down Farm, north Dorset, between the years 1986 and 2018, resulting in 13 different plots. The vascular plant survey was carried out in July 2019 using 50 cm x 50 cm quadrats. Quadrats were recorded every 1 m along a 16 m transect in each of the 13 plots. The bryophyte survey was carried out in February 2020 using 20 cm x 20 cm quadrats, along the same transects for 11 of the 13 plots. ","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Hawes","Walls","Pilkington","Bailey","Pywell","Pescott"],"fullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Pilkington, S.L.","Bailey, J.","Pywell, R.F.","Pescott, O.L."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["L.E. ","P. ","R. ","S.L.","J.","R.F.","O.L."],"grant":["NE/N018125/1 "],"identifier":"358eb380-74a0-4acd-9df2-696fdf13a6d7","incomingCitationCount":0,"keyword":["Dorset","Environmental survey","vascular plant","succession","chalk","bryophyte"],"keywordsOther":["vascular plant","succession","chalk","bryophyte"],"keywordsPlace":["Dorset"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"A total of 13 transects (16 m in length) were set up in July 2019, with one in each of the excavated blocks dated 1986, 2004–2008, and 2013–2018 (2 blocks were excavated in 2016). The percentage cover of vascular plant species were recorded in 50 cm x 50 cm quadrats every 1 m along each of the 13 transects, giving a total of 208 quadrats. Vascular plants were identified to species level, with the exception of Taraxacum microspecies. The percentage cover of bryophytes were recorded in February 2020 using the same methodology, but with a 20 cm x 20 cm quadrat. Two plots were not recorded for bryophytes, the first of which (excavated in 2006) was due to rubble left on the plot, which would have influenced the colonisation of bryophytes and the second plot (excavated in 2016) was excluded due to time constraints, as there was already another plot recorded of this age. Bryophytes were identified to species level, with the exception of a few small and/or infertile individuals, where it was only possible to classify specimens to a group level (affecting some Didymodon and Bryum species).\nData were collected by experienced field ecologists. Paper data sheets were digitised into Excel and were checked for any anomalies.\n","locations":["POLYGON((-2.007 50.929, -2.007 50.933, -2.001 50.933, -2.001 50.929, -2.007 50.929))"],"metadataDate":"2026-06-27T10:55:48.000Z","orcid":["https://orcid.org/0000-0003-3141-8795","https://orcid.org/0000-0001-6431-9959","https://orcid.org/0000-0002-0685-8046"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","Botanical Society of Britain and Ireland","Vegetation Survey and Assessment Ltd","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/358eb380-74a0-4acd-9df2-696fdf13a6d7","10.5285/358eb380-74a0-4acd-9df2-696fdf13a6d7","doi:10.5285/358eb380-74a0-4acd-9df2-696fdf13a6d7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02krbn758","https://ror.org/04xw4m193"],"shortenedDescription":"Vascular plant and bryophyte survey data from a 33-year chronosequence on bare chalk, used to investigate primary succession. The bare chalk plots were created from archaeological excavations on Down Farm, north Dorset, between the years 1986 and 2018, resulting in…","state":"published","title":"Vascular plant and bryophyte survey from a 33-year chronosequence on bare chalk, Dorset, 2019-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorFamilyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"authorFullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"authorGivenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Plain text"],"description":"Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"fullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council","Scottish Government"],"givenName":["A.","J.K.","J.A.","J.E.","G.R.","S."],"grant":["NE/K012177/1","BB/L012243/1"],"identifier":"f463bc5c-bb79-4967-a8dc-f662f57f7020","incomingCitationCount":0,"keyword":["Phenology","Pinus sylvestris","Scots pine","Caledonian pinewood","Adaptive trait variation","Phenotype","Common garden experiment","Growth"],"keywordsOther":["Pinus sylvestris","Scots pine","Caledonian pinewood","Adaptive trait variation","Phenotype","Common garden experiment","Growth"],"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 (FE and FS) have four randomised blocks and the other (FW) has three randomised blocks.\nTree height and basal stem diameter were measured at the end of each growing season from 2013 to 2020 for trees growing at two of the field sites (FE and FW) and in 2020 for trees growing at the third (FS). \nPhenology assessments were performed in spring at each site from 2015 to 2019 (the survey was not completed in 2020 due to the COVID-19 pandemic).\n","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-05-11T17:44:31.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research","The James Hutton Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-04-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f463bc5c-bb79-4967-a8dc-f662f57f7020","10.5285/f463bc5c-bb79-4967-a8dc-f662f57f7020","doi:10.5285/f463bc5c-bb79-4967-a8dc-f662f57f7020"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Forest Research","The James Hutton Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Phenotypes (growth and phenology) for Scots pine trees in a long-term common garden trial planted in three sites in Scotland, surveyed annually from 2013 to 2020.","state":"published","title":"Long-term multisite Scots pine trial, Scotland: field phenotypes, 2013-2020","topic":["0/Phenology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Parker","Lewis","Galloway"],"authorFullName":["Parker, B.","Lewis, C.","Galloway, T."],"authorGivenName":["Ben","Ceri","Tamara"],"authorOrcid":["https://orcid.org/0000-0001-6731-7852","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The resource includes data extracted from published laboratory studies investigating the impacts of microfibres (fibres < 5 mm in size) on various traits within aquatic organisms. Data were accessible on 19/06/2024 and represent studies from 2015 to 2024.\nThe dataset includes measured responses in a range of aquatic organisms after microfibre exposure. Measures correspond to the following defined traits: \n1.\tDevelopment-Healthy molting and growth of organs and structures. \n2.\tFecundity-Number of offspring and quality of gametes.\n3.\tFeeding-Intake, handling and egestion of resources.\n4.\tGrowth-Change in organism weight, length or derived measures.\n5.\tHatching\t-Number, emergence time and morphology of offspring.\n6.\tNon-apical endpoints-Indices and measures of general organism wellbeing.\n7.\tSurvival-Organisms alive at a particular time point.\n\nThis dataset was created to collate microfibre study findings for meta-analyses and also to identify gaps within the literature. This work was supported by NERC (NE/Y003985/1) as part of the Future Fibres Networking Grant.\n\nThis dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a ","documentType":"GEMINI_DOCUMENT","familyName":["Parker","Lewis","Galloway"],"fullName":["Ben Parker","Parker, B.","Lewis, C.","Galloway, T."],"funder":["Natural Environment Research Council"],"givenName":["Ben","Ceri","Tamara"],"grant":["NE/Y003985/1"],"identifier":"8b7fcc6c-ac73-4f28-b82f-ea818b064915","incomingCitationCount":0,"keyword":["Pollution","Aquatic","Ecotoxicology","Fibres","Meta-analysis","Sustainability","Textiles"],"keywordsOther":["Aquatic","Ecotoxicology","Fibres","Meta-analysis","Pollution","Sustainability","Textiles"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The dataset was generated from an initial Web of Science database search of studies investigating the exposure impacts of microfibres (small fibres < 5 mm in size) on the responses of aquatic organisms. Web of Science results were evaluated and then the citing and cited studies from these results also screened. Finally, the compiled results were then assessed for eligibility as detailed in the supporting information and only eligible responses extracted. QA steps were used to exclude a number of studies and responses as outlined in the resource supporting information.\n\nThis dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a which had several incorrectly calculated standard exposures and consequently incorrect assignment to standard exposure categories. This new version includes details on how these standard exposures were calculated as well as including more details on the assignment of several categories. Finally, \"Health\" endpoints are now referred to as \"non-apical endpoints\".","metadataDate":"2026-06-27T18:58:46.000Z","orcid":["https://orcid.org/0000-0001-6731-7852","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b7fcc6c-ac73-4f28-b82f-ea818b064915","10.5285/8b7fcc6c-ac73-4f28-b82f-ea818b064915","doi:10.5285/8b7fcc6c-ac73-4f28-b82f-ea818b064915"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The resource includes data extracted from published laboratory studies investigating the impacts of microfibres (fibres < 5 mm in size) on various traits within aquatic organisms. Data were accessible on 19/06/2024 and represent studies from 2015 to 2024.\nThe dataset…","state":"published","supplementalDescription":["Ben Parker, Ceri N Lewis, Tamara S Galloway, Impacts of non-petroleum and petroleum-based microfibres on aquatic organisms: ameta-analysis, Environmental Toxicology and Chemistry, 2025; vgaf113."],"title":"Trait responses of aquatic organisms from microfibre exposure studies published 2015-2024 v2","topic":["0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"availability":"Unknown","catalogue":"eidc","description":"This series is for data on belowground biodiversity (primarily soil microbes and plants) from amplicon sequencing of soil, root and litter samples collected across old-growth, selectively logged and restored forest and oil palm plantation across the Malaysian state of Sabah, Borneo between March 2016 and March 2018. It also contains associated data on soil physicochemical properties and environmental characteristics corresponding to surveys.\n\nData to be included here were collected and generated as part of several Natural Environment Research Council (NERC) funded programmes and projects: NERC Human Modified Tropical Forests (HMTF) Programme - Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]; ENVISION Doctoral Training Scheme [NE/L002604/1]; NC International Programme [NE/X006247/1]; Explaining niche separation in tropical forests: feedbacks between root-fungal symbioses and soil phosphorus partitioning [NE/M004864/1].","documentType":"GEMINI_DOCUMENT","identifier":"540f4d75-c904-48f2-93b9-bfe53ea7d59e","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-03-31T11:21:49.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/540f4d75-c904-48f2-93b9-bfe53ea7d59e"],"resourceType":"Aggregation","shortenedDescription":"This series is for data on belowground biodiversity (primarily soil microbes and plants) from amplicon sequencing of soil, root and litter samples collected across old-growth, selectively logged and restored forest and oil palm plantation across the Malaysian state…","state":"published","supplementalDescription":["Soil microbial communities from tropical forest and oil palm","Mycelial soil fungal communty attributes and mycelial production across a forest disturbance gradient"],"supplementalName":["Soil microbial communities from tropical forest and oil palm","Mycelial soil fungal communty attributes and mycelial production across a forest disturbance gradient"],"title":"Belowground communities, soil and environmental properties across human-modified tropical forest landscapes in Sabah, Malaysian Borneo","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of East Anglia"],"authorFamilyName":["Collins","Prince","Donelan","Chapman","Bourke"],"authorFullName":["Collins, D.H.","Prince, D.C.","Donelan, J.L.","Chapman, T.","Bourke, A.F.G."],"authorGivenName":["D.H.","D.C.","J.L.","T.","A.F.G"],"authorOrcid":["https://orcid.org/0000-0001-8619-8158","https://orcid.org/0000-0002-2214-9733","https://orcid.org/0000-0002-2401-8120","https://orcid.org/0000-0001-5891-8816"],"authorRor":["https://ror.org/026k5mg93"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data on worker behaviour, experimental treatment and sampling, queen longevity, queen and colony fecundity and queen morphometrics collected for an experiment manipulating costs of reproduction in bumble bee queens (Bombus terrestris).","documentType":"GEMINI_DOCUMENT","familyName":["Collins","Prince","Donelan","Chapman","Bourke"],"fullName":["Collins, D.H.","Prince, D.C.","Donelan, J.L.","Chapman, T.","Bourke, A.F.G."],"funder":["Natural Environment Research Council"],"givenName":["D.H.","D.C.","J.L.","T.","A.F.G"],"grant":["NE/R000875/1"],"identifier":"8efcd65a-afd7-4857-a107-9820c732b62a","incomingCitationCount":11,"keyword":["Animal behaviour","Bombus terrestris","costs of reproduction","eusociality","evolution of ageing","life history","senescence","bumble bee"],"keywordsOther":["Bombus terrestris","costs of reproduction","eusociality","evolution of ageing","life history","senescence","bumble bee"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The files described in this document contain data collected in Objective 1, Experiment 1 of NERC project NE/R000875/1. We experimentally increased reproduction in Bombus terrestris queens to test whether this would cause them to exhibit a cost to their longevity. We acquired young colonies of B. terrestris and allocated them to two treatments: Removal (R) queens: eggs were removed and counted, therefore inducing queens to increase their fertility and hence experience greater costs of reproduction; and Control (C) queens: eggs were removed, counted, and replaced to control for the disturbance caused by egg removal. We then assessed the queen's longevity in each colony. As egg removal increases worker egg-laying and aggression towards the queen in B. terrestris, we recorded and removed workers displaying these behaviours to ensure they did not affect colony fertility (defined as the number of eggs counted in each colony every two days) and queen longevity. As locomotory activity is affected by ageing in insects, we also monitored queen movement and response to disturbance throughout the experiment. Finally, we collected and sequenced mRNA at timepoints during the experiment that represented 10% (time-point 1, TP1) and 60% (time-point 2, TP2) mortality phases in each treatment.  ","locations":["POLYGON((1.227 52.616, 1.227 52.626, 1.2469999999999999 52.626, 1.2469999999999999 52.616, 1.227 52.616))"],"metadataDate":"2026-06-27T18:16:55.000Z","orcid":["https://orcid.org/0000-0001-8619-8158","https://orcid.org/0000-0002-2214-9733","https://orcid.org/0000-0002-2401-8120","https://orcid.org/0000-0001-5891-8816"],"organisation":["University of East Anglia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-12-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8efcd65a-afd7-4857-a107-9820c732b62a","10.5285/8efcd65a-afd7-4857-a107-9820c732b62a","doi:10.5285/8efcd65a-afd7-4857-a107-9820c732b62a"],"resourceType":"Dataset","rightsHolder":["University of East Anglia"],"ror":["https://ror.org/026k5mg93","https://ror.org/04xw4m193"],"shortenedDescription":"Data on worker behaviour, experimental treatment and sampling, queen longevity, queen and colony fecundity and queen morphometrics collected for an experiment manipulating costs of reproduction in bumble bee queens (Bombus terrestris).","state":"published","title":"Life history, behavioural and morphometric data for queens and workers from an experiment manipulating costs of reproduction in bumble bee queens (Bombus terrestris)","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research"],"authorFamilyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"authorFullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"authorGivenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"authorOrcid":["https://orcid.org/0000-0001-6498-043X","https://orcid.org/0000-0001-6855-9562","https://orcid.org/0000-0001-5732-8080","https://orcid.org/0000-0001-7375-1460","https://orcid.org/0000-0001-8778-4394","https://orcid.org/0000-0003-1519-3442","https://orcid.org/0000-0002-5896-756X","https://orcid.org/0000-0001-5390-9136","https://orcid.org/0000-0002-2989-2001","https://orcid.org/0000-0001-9514-7053"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.  Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population).  \n\nPlease see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details.","documentType":"GEMINI_DOCUMENT","familyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"fullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"funder":["Natural Environment Research Council"],"givenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"grant":["NE/S002847/1"],"identifier":"710fc65c-87eb-4932-9d8e-dc8328742232","incomingCitationCount":0,"keyword":["Mekong River Basin","Hydrology","sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsOther":["sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"keywordsPlace":["Mekong River Basin"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data are modelled outputs from the integrated catchment (INCA) models, INCA-N for nitrate related water quality, and INCA-P for phosphorus related water quality.  Please see supporting documentation for details.  ","locations":["POLYGON((95.591 8.446, 95.591 34.191, 109.447 34.191, 109.447 8.446, 95.591 8.446))"],"metadataDate":"2026-06-27T18:34:40.000Z","orcid":["https://orcid.org/0000-0001-6498-043X","https://orcid.org/0000-0001-6855-9562","https://orcid.org/0000-0001-5732-8080","https://orcid.org/0000-0001-7375-1460","https://orcid.org/0000-0001-8778-4394","https://orcid.org/0000-0003-1519-3442","https://orcid.org/0000-0002-5896-756X","https://orcid.org/0000-0001-5390-9136","https://orcid.org/0000-0002-2989-2001","https://orcid.org/0000-0001-9514-7053"],"organisation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/710fc65c-87eb-4932-9d8e-dc8328742232","10.5285/710fc65c-87eb-4932-9d8e-dc8328742232","doi:10.5285/710fc65c-87eb-4932-9d8e-dc8328742232"],"resourceType":"Dataset","rightsHolder":["University of Southampton","University of Oxford"],"ror":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.…","state":"published","supplementalDescription":["Whitehead, P.G., Jin, L., Bussi, G., Voepel, H.E., Darby, S.E., Vasilopoulos, G., Manley, R., Rodda, H., Hutton, C., Hackney, C., Pham Dang Tri, V., & Hung, N.N. (2019). Water quality modelling of the Mekong River basin: Climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta. Science of The Total Environment, 673, 218-229"],"title":"Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model","topic":["0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is the land parcel (polygon) dataset for the UKCEH Land Cover Map of 2020 (LCM2020) representing Northern Ireland. It describes Northern Ireland's land cover in 2020 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.   A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation accompanying this dataset.\n\nLCM2020 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2020. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2020.   These are one of a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps in 2000, 2007, 2015 and annually since 2017.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. ","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, D.","Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["Dan","R.D.","C.G.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"36343ace-d56a-43ea-9d48-2f434dafcb26","incomingCitationCount":1,"keyword":["Land cover","Biodiversity Action Plan","Northern Ireland","land cover","habitat","map"],"keywordsOther":["Biodiversity Action Plan","Northern Ireland","land cover","habitat","map"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms generated 10m classified pixels from Sentinel-2 satellite data. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. 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 pixel classification into a land parcel spatial framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThis product represents the LCM2020 Classified Land Parcel, Northern Ireland.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-06-27T18:40:42.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/36343ace-d56a-43ea-9d48-2f434dafcb26","10.5285/36343ace-d56a-43ea-9d48-2f434dafcb26","doi:10.5285/36343ace-d56a-43ea-9d48-2f434dafcb26"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the land parcel (polygon) dataset for the UKCEH Land Cover Map of 2020 (LCM2020) representing Northern Ireland. It describes Northern Ireland's land cover in 2020 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2020 (land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & 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":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM1990 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. \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":"304a7a40-1388-49f5-b3ac-709129406399","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Land use","vector","LCM1990","UK-SCAPE"],"keywordsOther":["vector","LCM1990","UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"For LCM1990, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM1990 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007, LCM2015 and LCM1990 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015 or LCM1990.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:27:51.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/304a7a40-1388-49f5-b3ac-709129406399","10.5285/304a7a40-1388-49f5-b3ac-709129406399","doi:10.5285/304a7a40-1388-49f5-b3ac-709129406399"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 1990 (LCM1990) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM1990 products are derived. It provides a number of attributes including land cover…","state":"published","title":"Land Cover Map 1990 (vector, GB)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Bealey","Martin Hernandez","Smith","Stedman"],"authorFullName":["Bealey, W.J.","Martin Hernandez, C.","Smith, R.I.","Stedman, J.R."],"authorGivenName":["W.J.","C.","R.I.","J.R."],"authorOrcid":["https://orcid.org/0000-0003-3708-5864"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset record provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2014 to 2016. The set also includes calculated minimum, maximum and gridded average values for each site. Protected nature sites covered are:\n\n(i)\tSpecial Areas of Conservation (SAC)\n(ii)\tSpecial Protection Areas (SPA)\n(iii)\tSites of Special Scientific Interest (SSSI). \n\nThe data consist of values of nitrogen and acid deposition, and concentrations of ammonia (NH3) based on the Concentration Based Estimated Deposition (CBED), and concentrations of NOx and SO2 using the Pollution Climate Mapping (PCM) model. Nitrogen and acid deposition data is also given for specific habitat types including:\n\n(i)\tmoorland/short vegetation everywhere, \n(ii)\tforest everywhere, and \n(iii)\tthe grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) \n\nThese habitat-specific data are recommended for use with critical loads and levels for the calculation of critical load/level exceedances using the relevant habitat type.","documentType":"GEMINI_DOCUMENT","familyName":["Bealey","Martin Hernandez","Smith","Stedman"],"fullName":["Bealey, W.J.","Martin Hernandez, C.","Smith, R.I.","Stedman, J.R."],"givenName":["W.J. ","W.J.","C.","R.I.","J.R."],"identifier":"735dd995-333c-4b02-8fb1-287b7b2cefdf","incomingCitationCount":0,"keyword":["Pollution","sulphur","ammonia","protected area","sulphur dioxide","nitrogen oxides","pollutant deposition","nature conservation"],"keywordsOther":["sulphur","ammonia","protected area","sulphur dioxide","nitrogen oxides","pollutant deposition","nature conservation"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The Air Pollution Information System (APIS), through the 'Site Relevant Critical Loads' tool, provides critical loads for acidity and nitrogen and critical levels for ammonia, sulphur dioxide and nitrogen oxides for designated features within every SAC, SPA or A/SSSI in the UK. In addition, deposition and concentration data for nitrogen and sulphur pollutants are provided at each site to give an estimate of critical load/level exceedance.\n\nThe data provided is based on pollutant deposition gridded maps for nitrogen and acid deposition and concentration maps of ammonia, nitrogen oxides and sulphur, which are overlayed to a GIS shape file of site boundaries in the UK (e.g. SAC, SPA, SSSI). These gridded maps were then clipped to provide the pollutant values for each grid square including the area of the clipped grid. The resulting data was then queried to generate site statistics in the form of a minimum, maximum and area weighted average values for each of the pollutants.\n\nFor nitrogen and acid deposition values and ammonia concentrations, three year average pollutant maps were used at a resolution of 5 x 5 km from the CBED model for the years 2014-2016. For nitrogen dioxide and sulphur dioxide concentrations the 1 x 1 km PCM model was used based on the 3 year average (2014-2016). Deposition values are generated for specific habitat types (forest and semi-natural) to be used in critical load exceedance calculations.\n\nThis dataset is an update to the 2013-2015 dataset with the addition of concentration and deposition data for the year 2016, and removal of data for the year 2013, hence a new 3-year average 2014 to 2016. The full methodology is available in the contextual metadata which can be found attached to this record.\n\nThe work of APIS 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).","locations":["POLYGON((-8.648 49.863, -8.648 60.861, 1.768 60.861, 1.768 49.863, -8.648 49.863))"],"metadataDate":"2026-06-27T19:32:05.000Z","orcid":["https://orcid.org/0000-0003-3708-5864"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/735dd995-333c-4b02-8fb1-287b7b2cefdf","10.5285/735dd995-333c-4b02-8fb1-287b7b2cefdf","doi:10.5285/735dd995-333c-4b02-8fb1-287b7b2cefdf"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset record provides deposition values of sulphur and nitrogen deposition and concentration values for ammonia (NH3), sulphur dioxide (SO2) and nitrogen oxide (NOx) on the UK nature conservation protected sites, averaged over the years 2014 to 2016. The set…","state":"published","supplementalDescription":["APIS provides a comprehensive source of information on air pollution and the effects on habitats and species. Developed and hosted by the Centre for Ecology & Hydrology (CEH), APIS is a support tool for staff in the UK conservation and regulatory agencies (e.g. SEPA, the Environment Agency, SNH, Natural England, Northern Ireland EA, and CCW), industry and local authorities for assessing the potential effects of air pollutants on habitats and species. As such, it aims to enable a consistent approach to air pollution assessment across the UK."],"supplementalName":["APIS - Air Pollution Information System"],"title":"Deposition and concentration values for protected sites in the UK (2014-2016)","topic":["0/Pollution/"],"version":1.0,"view":["public","dcmo"]},{"authorAffiliation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated"],"authorFamilyName":["Berenguer","Rossi","Seixas","Barlow"],"authorFullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"authorGivenName":["E.","L. C.","M.M.M.","J."],"authorOrcid":["https://orcid.org/0000-0001-8157-8792"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of stem radial growth in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary forests, and secondary forests. Data were collected from December 2014 until October 2018. In December 2015, during the El Niño-mediated drought, eight of our study plots were affected by understory fires.","documentType":"GEMINI_DOCUMENT","familyName":["Berenguer","Rossi","Seixas","Barlow"],"fullName":["Berenguer, E.","Rossi, L.C.","Seixas, M.M.M.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["E.","L. C.","M.M.M.","J."],"identifier":"c8bc6982-d4de-4e6f-aadb-08aac877b263","incomingCitationCount":0,"keyword":["Brazilian Amazon","Radial growth of stems","forest fire","forest ecology"],"keywordsOther":["Radial growth of stems","forest fire","forest ecology"],"keywordsPlace":["Brazilian Amazon"],"licence":"Open government licence","lineage":"We measured stem radial growth in 20 study plots (0.25ha) distributed along a gradient of forest disturbance in Eastern Amazonia: undisturbed primary forests (n = 5), logged primary forests (n = 5), logged-and-burned primary forests (n = 5), and secondary forests (n = 5). Forest disturbance classes were based on both an analysis of canopy disturbance in a chronosequence of satellite images (1988 to 2010) and on field assessments of fire scars, charcoal, and logging debris.  \n\nIn each of the 20 plots, trees and palms were stratified in five DBH size classes: 10-19.99 cm, 20-29.99 cm, 30-39.99 cm, 40-49.99, and ≥50 cm. At least 50 dendrometer bands were installed in each plot and caution was taken to install dendrometers evenly amongst the size classes (10 in each size class). If a study plot did not have 10 trees in a given class, we distributed the remaining dendrometer bands evenly between the other DBH size classes. We also installed dendrometer bands in all lianas ≥10 cm DBH present in the study plots. Dendrometer bands were installed 10 cm above the DBH point of measure. Radial growth was measured every month.\n","locations":["POLYGON((-55.01 -3.33, -55.01 -2.5700000000000003, -54.5 -2.5700000000000003, -54.5 -3.33, -55.01 -3.33))"],"metadataDate":"2026-06-27T18:31:22.000Z","orcid":["https://orcid.org/0000-0001-8157-8792"],"organisation":["Lancaster University","Universidade Estadual Paulista","Unaffiliated","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c8bc6982-d4de-4e6f-aadb-08aac877b263","10.5285/c8bc6982-d4de-4e6f-aadb-08aac877b263","doi:10.5285/c8bc6982-d4de-4e6f-aadb-08aac877b263"],"resourceType":"Dataset","ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of stem radial growth in 20 plots (250 x 10 m each) in the Brazilian Amazon. Study plots were distributed across a gradient of forest disturbance, including: undisturbed primary forests , logged primary forests, logged-and-burned primary…","state":"published","title":"Radial stem growth of stems in human-modified forests of Eastern Amazonia","version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=3"}