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Data were collected by students and staff from the University of Sheffield, following defined protocols.\n\nData from the programme were managed by the Centre for Ecology & Hydrology.","metadataDate":"2026-05-11T18:23:04.000Z","organisation":["University of Sheffield","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-08-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e300da0a-e0db-42b3-8986-56efef2985c2","10.5285/e300da0a-e0db-42b3-8986-56efef2985c2","doi:10.5285/e300da0a-e0db-42b3-8986-56efef2985c2"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These measurements of soil microbial biomass carbon, soil basal respiration rate and metabolic quotient were taken from an experiment set up at the University of Sheffield, using soil from the NERC Soil Biodiversity site at Sourhope.  \n\nThe work was part of the NERC...","state":"published","supplementalDescription":["Johnson, D., Leake, J. R., & Read, D. J. (2005). Liming and nitrogen fertilization affects phosphatase activities, microbial biomass and mycorrhizal colonisation in upland grassland. Plant and Soil, 271(1-2), 157-164.","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113."],"supplementalName":["Soil Biodiversity website"],"title":"Microbial biomass measurements from an upland grassland liming experiment [NERC Soil Biodiversity Programme]","topic":["0/Soil/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Dominoni","Capilla-Lasheras","Branston"],"authorFullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"authorGivenName":["D.M.","P.","C.J."],"authorOrcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on individual birds caught at nestboxes or via mistnetting at 20 sites along a 35 km urban gradient in Glasgow, Scotland, 2014-2022. For each capture, we recorded the ring number of the individual, morphological parameters, whether samples were obtained and the sample number (blood, feather, faeces). The morphological measurements obtained were: Wing length (total length of the stretched wing, as per BTO guidelines), Weight (to the nearest 0.01 g), Tarsus length (using a caliper with 0.1 cm precision).\n\nData were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds.","documentType":"GEMINI_DOCUMENT","familyName":["Dominoni","Capilla-Lasheras","Branston"],"fullName":["Dominoni, D.M.","Capilla-Lasheras, P.","Branston, C.J."],"funder":["Natural Environment Research Council"],"givenName":["D.M.","P.","C.J."],"grant":["NE/S005773/1"],"identifier":"9982cf52-7144-4877-9e17-1335f14140d8","incomingCitationCount":0,"keyword":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity","Cyanistes caeruleus","Parus major"],"keywordsOther":["urbanisation","nestbox","blue tit","great tit","reproductive success","productivity","Cyanistes caeruleus","Parus major"],"licence":"Open government licence","lineage":"We monitored an approximately 35 kilometre urban-non-urban gradient, with the extremes of the gradient being Glasgow city centre and Loch Lomond National Park, Scotland. This gradient has been monitored annually between 2014 and 2022 and has consisted of between five and twenty sites, depending on the year. \n\nBlue and great tit nestbox populations were monitored annually from 1st April until 20th June between 2014 and 2022. Productivity was monitored through recording breeding attempts in nestboxes. \n\nFrom the 1st April, nestboxes were monitored weekly until incubation commenced. The date the first egg was laid and clutch size were recorded. Once incubation was observed to have begun, nestboxes were not checked again until fourteen days after incubation commenced to minimise disturbance. After this point, nestboxes were checked every other day until chicks were observed. Once chicks were observed, between two days and ten days after hatching, an attempt was made to catch the breeding adults on the nest. The adult birds were marked with a unique metal ring, or their ring number noted if they had been ringed in a previous year. Thirteen days after hatching, nests were visited again to individually mark each of the nestlings within the broods using a unique metal ring. \nOpportunistic mist netting was also undertaken outside of the breeding season at both study sites. This supplements the mark-recapture data from catching adults and ringing nestlings at the nestboxes, and also contain data on other passerine species bycatch. The morphological measurements obtained were: Wing length (total length of the stretched wing, as per BTO guidelines), Weight (to the nearest 0.01 g), Tarsus length (using a caliper with 0.1 cm precision).\n\nAt the end of every year data collected during that year is checked and uploaded on a central long-term Access database that enables linking between reproductive attempts and individual bird information (mark-recapture data), both of which are deposited with the EIDC.","locations":["POLYGON((-4.609 55.861, -4.609 56.125, -4.251 56.125, -4.251 55.861, -4.609 55.861))"],"metadataDate":"2026-05-11T17:45:56.000Z","orcid":["https://orcid.org/0000-0003-2063-9955","https://orcid.org/0000-0001-6091-7089","https://orcid.org/0000-0002-4416-0984"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9982cf52-7144-4877-9e17-1335f14140d8","10.5285/9982cf52-7144-4877-9e17-1335f14140d8","doi:10.5285/9982cf52-7144-4877-9e17-1335f14140d8"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on individual birds caught at nestboxes or via mistnetting at 20 sites along a 35 km urban gradient in Glasgow, Scotland, 2014-2022. For each capture, we recorded the ring number of the individual, morphological parameters, whether...","state":"published","title":"Mark-recapture data of individual birds from ringing records, Glasgow, UK, 2014-2022","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Bath"],"authorFamilyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"authorFullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"authorGivenName":["B.","E.","S."],"authorOrcid":["https://orcid.org/0000-0002-6809-2875","https://orcid.org/0000-0002-5555-9894","https://orcid.org/0000-0003-1446-6744","https://orcid.org/0000-0003-4555-4907"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin, (±)-moxifloxacin, S,S-moxifloxacin-N-sulfate, R-(+)-besifloxacin, (±)-prulifloxacin, (±)-ulifloxacin, (±)-flumequine and (±)-nadifloxacin; ciprofloxacin, desethylene-ciprofloxacin, norfloxacin and nalidixic acid.\n\nThe concentrations of (fluoro)quinolones were measured in receiving treated wastewater from 5 wastewater treatment plants (WWTPs), which serves 1.5 million people accounting for 75% of inhabitants living in the catchment area in the South West of England.\n\nNERC Grant NE/N019261/1","documentType":"GEMINI_DOCUMENT","familyName":["Kasprzyk-Hordern","Castrignano","Feil","Lewis"],"fullName":["Kasprzyk-Hordern, B.","Castrignano, E.","Feil, E.","Lewis, S."],"funder":["Natural Environment Research Council"],"givenName":["B.","E.","S.","Barbara"],"grant":["NE/N019261/1"],"identifier":"f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5","incomingCitationCount":0,"keyword":["Environmental survey","antibiotic","waste water"],"keywordsOther":["antibiotic","waste water"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Wastewater influent and effluent were collected for 7 consecutive days running from Wednesday to Tuesday between June and October 2015 from five major WWTPs contributing to one river catchment in the South-West UK.\n\nMeasurements of antibiotic were conducted using  chiral liquid chromatography coupled with tandem mass spectrometry. See supporting documentation for further details.","locations":["POLYGON((-2.65 51.36, -2.65 51.501, -2.112 51.501, -2.112 51.36, -2.65 51.36))"],"metadataDate":"2026-05-11T18:06:10.000Z","orcid":["https://orcid.org/0000-0002-6809-2875","https://orcid.org/0000-0002-5555-9894","https://orcid.org/0000-0003-1446-6744","https://orcid.org/0000-0003-4555-4907"],"organisation":["University of Bath","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-03-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5","10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5","doi:10.5285/f4c79bd3-3ce9-4f4e-ae19-bb4fd2dce7a5"],"resourceType":"Dataset","ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises of weekly concentrations of fluoroquinolones in wastewater and receiving waters collected in the Avon river catchment South West UK. The following fluoroquinolones were analysed: (±)-ofloxacin, (±)-ofloxacin-N-oxide, (±)-desmethyl-ofloxacin, (±)-lomefloxacin,...","state":"published","supplementalDescription":["Castrignanò, E., Kannan, A.M., Proctor, K., Petrie, B., Hodgen, S., Feil, E.J., Lewis, S.E., Lopardo, L., Camacho-Muñoz, D., Rice, J., Cartwright, N., Barden, R., & Kasprzyk-Hordern, B. (2020). (Fluoro)quinolones and quinolone resistance genes in the aquatic environment: A river catchment perspective. Water Research, 182, 116015. "],"title":"Concentrations of antibiotics in wastewater and receiving waters following water treatment in SW England, June-October, 2015","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["Fertiliser application maps for England (2010-2015)"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Osório","Redhead","Jarvis","May","Pywell"],"authorFullName":["Osório, B.","Redhead, J.W.","Jarvis, S.G.","May, L.","Pywell, R.F."],"authorGivenName":["B.","J.W.","S.G.","L.","R.F."],"authorOrcid":["https://orcid.org/0000-0001-5540-4203","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-3385-9973","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015).  The estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution. These data were modelled from Defra British Survey of Fertiliser Practice (BSFP) data using a spatial interpolation procedure.\n\nDifferent uses and potential applications of the produced maps, including the following: \n1) Modelling nutrient fate to predict impacts of changes in farming practices (intensification/extensification) on nutrient runoff to water;\n2) Estimating greenhouse gases (GHG) emissions due to fertiliser application to crops and grassland (linked with air quality impacts);\n3) Quantifying past and future impacts of eutrophication and/or agricultural management on agricultural ecosystems and indicators such as arable plants, farmland birds, pollinators;\n4) Linking crop growth models to predict areas where better nutrient management may improve yields;\n5) Improving policies aimed at mitigating negative impacts of fertiliser use (e.g. catchment sensitive farming to reduce pollution and/or improve water quality).\n\n\nThis data product was funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST).  ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).","documentType":"GEMINI_DOCUMENT","familyName":["Osório","Redhead","Jarvis","May","Pywell"],"fullName":["Osório, B.","Redhead, J.W.","Jarvis, S.G.","May, L.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["Bruno","B.","J.W.","S.G.","L.","R.F."],"grant":["NE/N018125/1"],"identifier":"15f415db-e87b-4ab5-a2fb-37a78e7bf051","incomingCitationCount":4,"keyword":["England","Achieving Sustainable Agricultural Systems","ASSIST","Agriculture","Land use","Mapping","Fertiliser application","Nitrogen","Phosphorus ","Potassium "],"keywordsOther":["Fertiliser application","Nitrogen","Phosphorus ","Potassium "],"keywordsPlace":["England"],"keywordsProject":["Achieving Sustainable Agricultural Systems","ASSIST"],"keywordsTheme":["Agriculture","Land use","Mapping"],"licence":"Non-Open government licence","lineage":"These maps were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the Centre for Ecology & Hydrology to enable exploration of the impacts of agrochemical usage on the environment, enabling farmers and policymakers to implement better, more sustainable agricultural practices.\n\nThe maps use data from the  British Survey of Fertiliser Practice (BSFP) (DEFRA) and CEH Land Cover® plus: Crops and have been assessed for quality.  For further information, please see the supporting documentation available with this data product.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-05-11T18:16:29.000Z","orcid":["https://orcid.org/0000-0001-5540-4203","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-3385-9973","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/15f415db-e87b-4ab5-a2fb-37a78e7bf051","10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051","doi:10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015).  The estimates, along with their respective...","state":"published","supplementalName":["ASSIST website"],"title":"CEH Land Cover plus: Fertilisers 2010-2015 (England)","topic":["0/Agriculture/","0/Land use/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Southern Denmark","Zayed University"],"authorFamilyName":["Rovelli","Attard","Stahl","Glud"],"authorFullName":["Rovelli, L.","Attard, K.M.","Stahl, H.","Glud, R.N."],"authorGivenName":["L.","K.M","H.","R.N."],"authorOrcid":["https://orcid.org/0000-0003-4011-7484"],"authorRor":["https://ror.org/03yrrjy16","https://ror.org/03snqfa66"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contain meteorological time series encompassing wind dynamics, and air temperature and relative humidity that were collected in the proximity of the streambed of selected riverine sites within the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) and associated river morphology were investigated. Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014.","documentType":"GEMINI_DOCUMENT","familyName":["Rovelli","Attard","Stahl","Glud"],"fullName":["Rovelli, L.","Attard, K.M.","Stahl, H.","Glud, R.N."],"givenName":["Lorenzo","L.","K.M","H.","R.N."],"identifier":"03acd63b-a540-42af-a305-e323f6f16f91","incomingCitationCount":0,"keyword":["Hampshire Avon","England","United Kingdom","Wind dynamics","river","meteorology"],"keywordsOther":["Wind dynamics","river","meteorology"],"keywordsPlace":["Hampshire Avon","England","United Kingdom"],"licence":"Open government licence","lineage":"All data were generated by the authors. As time series containing physical parameters were generated, checks were made to ensure that each instrument was properly calibrated and serviced prior to each campaign to keep accuracy and precision within the manufacturer tolerances. Furthermore, the time series were screened for outliers caused by unsuitable meteorological conditions and contamination by the users during concurrent activities on site. All data were checked to ensure reported values were above the detection limit of the respective sensors. ","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-05-11T18:04:06.000Z","orcid":["https://orcid.org/0000-0003-4011-7484"],"organisation":["University of Southern Denmark","Zayed University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/03acd63b-a540-42af-a305-e323f6f16f91","10.5285/03acd63b-a540-42af-a305-e323f6f16f91","doi:10.5285/03acd63b-a540-42af-a305-e323f6f16f91"],"resourceType":"Dataset","ror":["https://ror.org/03yrrjy16","https://ror.org/03snqfa66","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contain meteorological time series encompassing wind dynamics, and air temperature and relative humidity that were collected in the proximity of the streambed of selected riverine sites within the Hampshire Avon catchment (UK). Six rivers within sub-catchments...","state":"published","title":"A time series of wind speed & direction, air temperature, humidity and atmospheric pressure measured during seasonal campaigns at six tributaries of Hampshire River Avon from 2013 to 2014","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Edwards","Webb","Scarlett","Vincent","Cooper"],"authorFullName":["Edwards, F.K.","Webb, G.P.","Scarlett, P.M.","Vincent, H.M.","Cooper, D.M."],"authorGivenName":["F.K.","G.P.","P.M.","H.M.","D.M."],"authorOrcid":["https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0001-7578-7918"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK, sampled over three years between 2008 and 2010. The water bodies studied are tributary streams of the river Conwy, Wales, UK. Sampling took place in November of each year. Macroinvertebrates were sampled using a 1 mm kick net following the RIVPACS (River Invertebrate Prediction and Classification System) field protocol. Site variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded and are supplied as supporting information. \n","documentType":"GEMINI_DOCUMENT","familyName":["Edwards","Webb","Scarlett","Vincent","Cooper"],"fullName":["Edwards, F.","Edwards, F.K.","Webb, G.P.","Scarlett, P.M.","Vincent, H.M.","Cooper, D.M."],"givenName":["François","F.K.","G.P.","P.M.","H.M.","D.M."],"identifier":"fbbf2775-2f4d-478b-b59e-38aeaafaf67c","incomingCitationCount":0,"keyword":["Ecosystem services","Water quality","Environmental survey","invertebrate"],"keywordsOther":["invertebrate"],"keywordsTheme":["Ecosystem services","Water quality","Environmental survey"],"licence":"Open government licence","lineage":"The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK sampled over three years 2008 - 2010. Supporting habitat and geographical data are included.\n\nThe waterbodies studied are tributary streams of the Conwy, Wales, UK.  Sampling took place in November 2008, 2009 and 2010. Macroinvertebrates were sampled using a 1mm kick net following the RIvPACS field protocol as described in Murray-Bligh, J. A. D., Furse, M. T., Jones, F. H., Gunn, R. J. M., Dines, R. A. & Wright, J. F. (1997) Procedure for collecting and analysing macro-invertebrate samples for RIVPACS. Environment Agency and Institute of Freshwater Ecology, Bristol, UK.  \n\nSite variables (depth, width, velocity, substrate cover, macrophyte cover) were also recorded as described in the above document.\n\nSamples were washed into plastic sample bags, labelled and preserved with a 4% formaldehyde solution in the field. In the laboratory, samples were washed through a 500μm sieve and all macroinvertebrates were picked from the samples and identified to the lowest taxonomic level possible, usually species. Valid taxonomic names and unique taxon identification codes were provided in Davies, C. and Edwards, F.K. (2011) Code list for recording the macroinvertebrates in freshwater in the British Isles. Centre for Ecology & Hydrology, Wallingford.\n\nData entry was validated by crosschecking data print outs with laboratory sheets.\n\nMap variables were derived for those point locations using the Intelligent River Network (Version 17), which was first described in Dawson, F.H., Hornby, D.D. and Hilton, J. (2002), A method for the automated extraction of environmental variables to help the classification of rivers in Britain. Aquatic Conserv: Mar. Freshw. Ecosyst., 12: 391-403. https://doi.org/10.1002/aqc.534","locations":["POLYGON((-3.998 52.99, -3.998 53.303, -3.653 53.303, -3.653 52.99, -3.998 52.99))"],"metadataDate":"2026-05-11T18:22:17.000Z","orcid":["https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0001-7578-7918"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fbbf2775-2f4d-478b-b59e-38aeaafaf67c","10.5285/fbbf2775-2f4d-478b-b59e-38aeaafaf67c","doi:10.5285/fbbf2775-2f4d-478b-b59e-38aeaafaf67c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of species level descriptions of macroinvertebrate communities from the Conwy catchment in Wales, UK, sampled over three years between 2008 and 2010. The water bodies studied are tributary streams of the river Conwy, Wales, UK. Sampling took place in...","state":"published","title":"Macroinvertebrates of the river Conwy catchment, UK","topic":["0/Ecosystem services/","0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","jone"]},{"altTitle":["PERM-HYDRO","HYDRA","NERC Arctic Research Programme"],"availability":"Unknown","catalogue":"eidc","description":"This series of datasets includes meteorological data, soil pH and bulk density, stream discharge data and soil temperature, soil moisture, air temperature, relative humidity for vegetation data collected at the Siksik catchment, North West Territories, Canada under the PERM-HYDRO (HYDRA) project. \nThe data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. HYDRA was funded under the NERC Arctic Research Programme.\n","documentType":"GEMINI_DOCUMENT","identifier":"a80a1a61-fd25-444c-85f9-7c6f7ebe10ca","incomingCitationCount":0,"keyword":["Canada","Siksik catchment","North West Territories"],"keywordsPlace":["Canada","Siksik catchment","North West Territories"],"licence":"Non-Open government licence","lineage":"Sub-hourly discharge data was collected from Station S2, Siksik stream, North West Territories, Canada at Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres, Watershed area: ~1 kilometre squared, time zone: Mountain Standard Time.\nRecords cover September 2009 and March 2010 and include sampling date and time (dd/mm/yyyy hh:mm (24 hour format)), water temperature (Degrees Centigrade), stream height (metres) and discharge (metres cubed per second).\nMeteorological data for the Siksik catchment, North West Territories, Canada at Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres, Watershed area: ~1 kilometre squared, time zone: Mountain Standard Time.\nDaily air temperature, relative humidity, wind speed, dew point and precipitation data was taken from http://climate.weather.gc.ca. Climate data was used to estimate actual vapour pressure and surface resistance using FAO methods. Potential evapotranspiration was estimated using the data and the Penman-Monteith method. Albedo was estimated using hobo shortwave sensor. Thaw depth was estimated using observations and the square root of degree day temperature. Thaw volume was based on thaw depth estimates.\nSoil samples were collected in September 2014 along a transect in the Siksik catchment, North West Territories, Canada (Longitude: 133. 26' 26\" W, Latitude: 68. 44' 17\"N Elevation: 85 metres). Soil pH and bulk density (in grammes per cubic centimetre) data was produced from the samples.\nSoil temperatures were measured at 5 cm depth (below the ground surface) using Onset 12-bit Temperature Smart sensors.\nAir temperature and/or relative humidity (RH) were measured at approximately 0.5 m above the ground surface and shielded from radiation using the Onset solar radiation screen. If air temperature alone was measured, this was using Onset 12-bit Temperature Smart sensors, otherwise air temperature/RH were measured using Onset 12-bit Temperature/Relative Humidity Smart sensors. Surface wetness was measured at the lichen heath location using Onset Leaf wetness smart sensor. Volumetric water content (VWC) was also measured at 5 cm depth (from the ground surface) using ECH2O EC-5 volumetric moisture sensors using factory calibration - where possible in both hummock and inter hummock positions. All measurements were made at 10 minute intervals. Data are continuous with no gap-filling. ","locations":["POLYGON((-141.002701 41.681019, -141.002701 83.110619, -52.620201 83.110619, -52.620201 41.681019, -141.002701 41.681019))"],"metadataDate":"2026-03-02T09:40:49.000Z","organisation":["NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-23T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a80a1a61-fd25-444c-85f9-7c6f7ebe10ca"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This series of datasets includes meteorological data, soil pH and bulk density, stream discharge data and soil temperature, soil moisture, air temperature, relative humidity for vegetation data collected at the Siksik catchment, North West Territories, Canada under...","state":"published","supplementalName":["NERC Arctic Research Programme","Hydrological Controls on Carbon Cycling and Greenhouse Gas Budgets (HYDRA)"],"title":"Permafrost catchments in transition: hydrological controls on carbon cycling and greenhouse gas budgets (PERM-HYDRO)","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["University of Liverpool","Deutsches Zentrum für integrative Biodiversitätsforschung","University Of Liverpool"],"authorFamilyName":["Alamer","Siozios","Corbin","Hornett","Jones","Hurst"],"authorFullName":["Alamer, N.","Siozios, S.","Corbin, C.","Hornett, E.A.","Jones, J.E.","Hurst, G.D.D."],"authorGivenName":["Nuha","Stefanos","Chris","Emily A","Jordan E","Gregory D D"],"authorOrcid":["https://orcid.org/0009-0006-0046-8254","https://orcid.org/0000-0002-1104-7061","https://orcid.org/0000-0003-4525-5069","https://orcid.org/0000-0002-7747-0583","https://orcid.org/0000-0002-3484-4450","https://orcid.org/0000-0002-7163-7784"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are derived from a series of experiments comparing traits of Spiroplasma infected vs uninfected flies examined in parallel. Experiments were completed in the period 2021-2025 in the laboratory in Liverpool, UK, with the exception of D.hydei starvation tolerance, which was completed in 2014 in the laboratory in Liverpool UK. The data look at how the responses of  Spiroplasma infected vs uninfected flies differ in sex ratio produced, starvation tolerance and capacity to survive a wasp attack. A parallel data set for starvation tolerance is provided for Spiroplasma strains sHy1 in its fly host Drosophila hydei. These experiments were carried out to study the impact of Spiroplasma strain sZko on its fly host, Zaprionus kolodkinae.","documentType":"GEMINI_DOCUMENT","familyName":["Alamer","Siozios","Corbin","Hornett","Jones","Hurst"],"fullName":["Greg Hurst","Alamer, N.","Siozios, S.","Corbin, C.","Hornett, E.A.","Jones, J.E.","Hurst, G.D.D."],"funder":["Natural Environment Research Council","Kingdom of Saudi Arabia"],"givenName":["Nuha","Stefanos","Chris","Emily A","Jordan E","Gregory D D"],"grant":["NE/V011979/1"],"identifier":"f31c08e9-7feb-4ccb-8c83-304176e1135a","incomingCitationCount":0,"keyword":["Evolutionary ecology","symbiosis","parasite","insect"],"keywordsOther":["symbiosis","parasite","insect"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"The Z. kolodkinae flies were sourced from Drosophila species centre originated from Antananrivo, Madagascar from a collection made in 2007. D. hydei flies infected with sHy1 were originally collected in January from Mexico.\n\nFor sex ratio, flies with and without Spiroplasma were allowed to breed in factorial combinations (female with and without spiroplasma, male with and without spiroplasma). Sex ratio of F1 progeny from vials (replicated) was scored using genital morphology. Data was written into an electronic lab book, and then transcribed to a spreadsheet.\n\nFor protection against wasps, flies with and without Spiroplasma were allowed to breed and lay eggs on grape juice plates, 30 larvae were then picked into a vial and attacked by L. heterotoma wasps (or no wasp control). The number surviving to pupation and adult was scored. The experiment was completed in two blocks. Data was initially written on paper data sheets then transcribed into spreadsheets.\n\nFor starvation tolerance, flies with and without Spiroplasma were placed under nutrient deprivation, monitored every 8 hours, and time to death recorded. Results either manually written and then transcribed into spreadsheets, or collected in an electronic lab book and then transcribed to spreadsheets.\n\nIn all cases, Flies were dipstick tested for infection status by PCR assay after experiments to ensure data quality.","metadataDate":"2026-05-11T18:23:36.000Z","orcid":["https://orcid.org/0009-0006-0046-8254","https://orcid.org/0000-0002-1104-7061","https://orcid.org/0000-0003-4525-5069","https://orcid.org/0000-0002-7747-0583","https://orcid.org/0000-0002-3484-4450","https://orcid.org/0000-0002-7163-7784"],"organisation":["University of Liverpool","Deutsches Zentrum für integrative Biodiversitätsforschung","University Of Liverpool","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f31c08e9-7feb-4ccb-8c83-304176e1135a","10.5285/f31c08e9-7feb-4ccb-8c83-304176e1135a","doi:10.5285/f31c08e9-7feb-4ccb-8c83-304176e1135a"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Liverpool"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These data are derived from a series of experiments comparing traits of Spiroplasma infected vs uninfected flies examined in parallel. Experiments were completed in the period 2021-2025 in the laboratory in Liverpool, UK, with the exception of D.hydei starvation tolerance,...","state":"published","title":"Sex ratio, resistance to parasitoid attack, and starvation responses of drosophilid flies to Spiroplasma infection, from a laboratory study","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Andrews","Newell","Harris","Bennett","Wanless","Daunt"],"authorFullName":["Andrews, C.","Newell, M.A.","Harris, M.P.","Bennett, S.I.","Wanless, S.","Daunt, F."],"authorGivenName":["C.","M.A.","M.P.","S.I.","S.","F."],"authorOrcid":["https://orcid.org/0000-0003-2428-272X","https://orcid.org/0000-0002-4723-175X","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0003-4638-3388"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains prey items of common guillemot (Uria aalge) and razorbill (Alca torda) observed during the 2019 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the east coast of Scotland. The diet of these two species has been studied on the Isle of May since the 1980s. To our knowledge, the only previous studies of diet were undertaken at Buchan Ness to Collieston Coast SPA (in 2006, 6km to the north of the site used in this study; and in 2017 & 2018, using a similar protocol as in 2019), and previous studies of diet have been undertaken at East Caithness SPA (2017 & 2018). ","documentType":"GEMINI_DOCUMENT","familyName":["Andrews","Newell","Harris","Bennett","Wanless","Daunt"],"fullName":["Andrews, C.","Newell, M.A.","Harris, M.P.","Bennett, S.I.","Wanless, S.","Daunt, F."],"givenName":["C.","M.A.","M.P.","S.I.","S.","F.","Francis"],"identifier":"3d90a2b0-9a9e-4e39-8986-9082d1ec529e","incomingCitationCount":0,"keyword":["Scotland","Isle of May","IMLOTS","Isle of May Long-Term Study","Biodiversity","Seabirds","Auks","Razorbill","Guillemot"],"keywordsOther":["Seabirds","Auks","Razorbill","Guillemot"],"keywordsPlace":["Scotland","Isle of May"],"keywordsProject":["IMLOTS","Isle of May Long-Term Study"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Seabird studies on the Isle of May NNR were begun by Mike Harris (CEH) in 1973 as part of the Isle of May Long-Term Study (IMLOTS), which is a Key Site in the UK Joint Nature Conservation Committee’s (JNCC) national Seabird Monitoring Programme.  The methods for calculating diet are included in the Species Account in this document and have been consistent since all seabird monitoring was standardised from 1987.  The protocols are employed in the assessment of the diet of common guillemot and razorbill.\n\nThe basic approach to assessing common guillemot and razorbill diet is observing prey carried in the bills of breeding adults returning to the colony to feed the young or, in the case of common guillemot only, to display to other adults.  All fieldwork, sampling and data handling was carried out by experienced and trained staff to defined protocols agreed to meet the objectives of the work. All data were collected in the field in notebooks and field data sheets.  These were transcribed to spreadsheets after each check was made and files backed up on CEH servers. All notebooks and field sheets are archived at CEH Edinburgh. The databases used were all quality controlled at source.\n\nThe integrity of results, the quality of reports, the relationship to contracted deliverables and the punctuality of reporting are all subject to management vetting and tracking within CEH.","locations":["POLYGON((-4.429 55.899, -4.429 58.778, -1.528 58.778, -1.528 55.899, -4.429 55.899))"],"metadataDate":"2026-05-11T18:13:39.000Z","orcid":["https://orcid.org/0000-0003-2428-272X","https://orcid.org/0000-0002-4723-175X","https://orcid.org/0000-0002-2788-4606","https://orcid.org/0000-0003-4638-3388"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3d90a2b0-9a9e-4e39-8986-9082d1ec529e","10.5285/3d90a2b0-9a9e-4e39-8986-9082d1ec529e","doi:10.5285/3d90a2b0-9a9e-4e39-8986-9082d1ec529e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains prey items of common guillemot (Uria aalge) and razorbill (Alca torda) observed during the 2019 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the...","state":"published","supplementalName":["The diet of Common Guillemot Uria aalge chicks provides evidence of changing prey communities in the North Sea.","The impact of the sandeel fishery closure in the northwestern North Sea on seabird food consumption, distribution and productivity","Fish fed to young guillemots, Uria aalge, and used in display on the Isle of May, Scotland","The food of young razorbills on the Isle of May and a comparison with that of young guillemots and puffins","Modelling the effects of prey size and distribution on prey capture rates of two sympatric marine predators"],"title":"Diet of common guillemot and razorbill at East Caithness, Buchan Ness to Collieston Coast and Isle of May in 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rbrou"]},{"authorAffiliation":["University of Bristol"],"authorFamilyName":["Reyher","Avison","Schubert","Cogan","Gould"],"authorFullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"authorGivenName":["K.","M.","H.","T.","V. C."],"authorOrcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection of resistant strains is presented in the dataset as a binary result, along with mechanisms of resistance to third generation cephalosporins where relevant. In addition there is comprehensive farm management data including antibiotic usage data.","documentType":"GEMINI_DOCUMENT","familyName":["Reyher","Avison","Schubert","Cogan","Gould"],"fullName":["Reyher, K.","Avison, M.","Schubert, H.","Cogan, T.","Gould, V.C."],"givenName":["K.","M.","H.","T.","V. C."],"identifier":"c9bc537a-d1c5-43a0-b146-42c25d4e8160","incomingCitationCount":0,"keyword":["South West England","Environmental risk","Antimicrobial resistance","cattle","resistance (biological)"],"keywordsOther":["Antimicrobial resistance","cattle","resistance (biological)"],"keywordsPlace":["South West England"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"1. Records of samples taken from 53 farms including date, type and descriptive location of sample. 2. Records of microbiological analyses of the samples to identify E. coli resistant to amoxicillin, cephalexin, tetracycline, ciprofloxacin and/or streptomycin). 3. For samples where E. coli resistant to cephalexin were detected, results of laboratory testing for resistance mechanism. 4. Questionnaires administered to farmers between Jan 2017 and Jan 2019. These collected demographic and farm management data at the start and end of the data collection periods for each farm, as well as questionnaires around choices of antibiotic administered during the data collection period at the convenience of the participants. 5. Prescription medication records acquired from veterinary practices and farm records. All calculations and data entry were checked for errors before data was accepted.","locations":["POLYGON((-6.452 49.864, -6.452 51.766, -1 51.766, -1 49.864, -6.452 49.864))"],"metadataDate":"2026-05-11T18:25:26.000Z","orcid":["https://orcid.org/0000-0003-4912-5026","https://orcid.org/0000-0003-1454-8440"],"organisation":["University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9bc537a-d1c5-43a0-b146-42c25d4e8160","10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160","doi:10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection...","state":"published","title":"Farm management and longitudinal data on antibiotic use and antibiotic resistant E. coli for 53 dairy farms, South West England, 2017-2019","topic":["0/Environmental risk/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["H","B A","A G","K","G","S J"],"authorOrcid":["https://orcid.org/0000-0002-2028-4843"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Tarn in Cumbria, England. The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2024 until the end of 2024.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H.","H","B A","A G","K","G","S J"],"grant":["NE/R016429/1 ","NE/Y006208/1"],"identifier":"c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","incomingCitationCount":0,"keyword":["Climate and climate change","Water quality","Environmental survey","dissolved oxygen","freshwater monitoring","phytoplankton","lake"],"keywordsOther":["dissolved oxygen","freshwater monitoring","phytoplankton","lake"],"keywordsTheme":["Climate and climate change","Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.\n","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.977 54.37, -2.977 54.348, -2.993 54.348))"],"metadataDate":"2026-05-11T18:18:10.000Z","orcid":["https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","doi:10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Tarn in Cumbria, England. The data available to download comprise surface...","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2024","topic":["0/Climate and climate change/","0/Water quality/","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":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","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":"48cd6732-bbfb-466d-ba80-ecc9e591a5c0","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Monitoring & Observing Systems","Parr Section"],"keywordsOther":["Monitoring & Observing Systems","Land cover","Parr Section"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"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. Version 1.2 includes the addition of a water class. Refer to online supporting documentation for further information.","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-05-11T18:11:29.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399374582591","CEH:EIDC::1399374582591","https://catalogue.ceh.ac.uk/id/48cd6732-bbfb-466d-ba80-ecc9e591a5c0","10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0","doi:10.5285/48cd6732-bbfb-466d-ba80-ecc9e591a5c0"],"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 Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad...","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)"],"title":"Land Cover Map 2007 (1km dominant aggregate class, N. Ireland) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Jackson"],"authorFullName":["Jackson, T."],"authorGivenName":["T."],"authorOrcid":["https://orcid.org/0000-0001-8143-6161"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"Strain data measured on the trunks of nineteen trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and to quantify the relationship between wind speed and bending strain and so estimate wind damage risk. This data would be useful for anyone studying the interaction between wind and trees. The tallest tree in this data set is approximately 51 m tall.","documentType":"GEMINI_DOCUMENT","familyName":["Jackson"],"fullName":["Jackson, T."],"givenName":["Toby","T."],"identifier":"657f420e-f956-4c33-b7d6-98c7a18aa07a","incomingCitationCount":2,"keyword":["Danum Valley","Malaysia","Climate and climate change","Biodiversity","strain gauge","wind damage risk","bending strain","tall trees","tropical forest","wind","tree"],"keywordsOther":["strain gauge","wind damage risk","bending strain","tall trees","tropical forest","wind","tree"],"keywordsPlace":["Danum Valley","Malaysia"],"keywordsTheme":["Climate and climate change","Biodiversity"],"licence":"Open government licence","lineage":"This data was collected from October 2016 to April 2017 in Danum Valley, Malaysia. The data was initially saved on Campbell data loggers and Raspberry Pis and then transferred to a laptop. The individual data files were consolidated into a single file per data logger and this raw data is provided in the repository. This raw data was calibrated and filtered and the pairs of strain gauges combined into a single per tree bending strain signal. This processed data is also provided in the repository. No processing was necessary for the wind data and this is provided in its raw form.","locations":["POLYGON((107.622 -4.828, 107.622 7.929, 120.059 7.929, 120.059 -4.828, 107.622 -4.828))"],"metadataDate":"2026-05-11T18:17:32.000Z","orcid":["https://orcid.org/0000-0001-8143-6161"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a","doi:10.5285/657f420e-f956-4c33-b7d6-98c7a18aa07a","https://catalogue.ceh.ac.uk/id/657f420e-f956-4c33-b7d6-98c7a18aa07a"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"Strain data measured on the trunks of nineteen trees in the Danum Valley, Malaysia. It also contains wind speed data measured using anemometers attached to emergent trees nearby. This data can be used to extract the fundamental swaying frequencies of these trees, and...","state":"published","title":"A time-series of strains in response to wind measured on 19 trees in Danum Valley, Malaysia","topic":["0/Climate and climate change/","0/Biodiversity/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["The James Hutton Institute"],"authorFamilyName":["Watson","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Stutter","Jackson-Blake","McKeen"],"authorFullName":["Watson, H.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"authorGivenName":["Helen","S.","L.","Y.","R.","C.","M.I. ","M."],"authorRor":["https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP), nitrate (NO3-N), ammonium (NH4-N) and suspended sediments (SS); water chemistry measurements are in units of mg l-1 for all determinands. Sampling for water chemistry took place at a weekly frequency between 2000 and the end of 2003, with some daily sampling during rainfall events. Daily samples were then collected between February 2004 and June 2005. After June 2005, infrequent irregular sampling took place, with fewer determinands. Mean daily flow, in m3s-1, was also recorded.\n\nThe Tarland Burn is a tributary of the River Dee (northeast Scotland). The samples were collected at Coull (WGS84 57.111, -2.810; OSGB 351050, 802540). ","documentType":"GEMINI_DOCUMENT","familyName":["Watson","Stutter","Langan","Johnston","Cook","Cooper","Taylor","Masson","Dunn","Jackson-Blake","McKeen"],"fullName":["Watson, H.","Stutter, M.","Langan, S.","Johnston, L.","Cook, Y.","Cooper, R.","Taylor, C.","Masson, L.","Dunn, S.","Stutter, M.I.","Jackson-Blake, L.","McKeen, M."],"givenName":["Helen","Marc","S.","L.","Y.","R.","C.","M.I. ","M."],"identifier":"f9a69fcb-321d-4f65-a8cf-cfe789224c8f","incomingCitationCount":0,"keyword":["Coull","Pollution"],"keywordsPlace":["Coull"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","lineage":"Water chemistry data: Sub-daily sampling took place during storms during 2004 and 2005, with 2 to 6 samples per day. Sub-daily data were converted to daily means. Samples were collected via a combination of grab sampling (pre 2004 and post 2005) and auto-sampler. Suspended sediment concentrations were determined gravimetrically on filter papers. Filtrates were analysed for total dissolved phosphorus (TDP), nitrate and ammonium. Unfiltered samples were manually digested by a persulphate autoclave procedure, then analysed as molybdate reactive P to give total P (TP). Particulate P (PP) was calculated as the difference between TP and TDP. Details of sampling protocol, autosampler set-up and analytical methods are given in [1] [2]\n\nDischarge data: Daily mean flow was derived from 15 minute discharge data, with a 'day' classed as 9am - 8:45am, for compatibility with Met Office rainfall data. The 15 minute discharge data was derived from stage information.\n\n[1] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial and temporal dynamics of stream water and particulate N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology 350 (3-4), 187-202. https://doi.org/10.1016/j.jhydrol.2007.10.048\n[2] Stutter, M.I., Langan, S.J., Cooper, R.J., 2008. Spatial contributions of diffuse inputs and within-channel processes to the form of streamwater phosphorus over storm events. Journal of Hydrology 350 (3-4), 203-214. https://doi.org/10.1016/j.jhydrol.2007.10.045","locations":["POLYGON((-2.812 57.11, -2.812 57.112, -2.808 57.112, -2.808 57.11, -2.812 57.11))"],"metadataDate":"2026-05-11T18:22:48.000Z","organisation":["The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9a69fcb-321d-4f65-a8cf-cfe789224c8f","10.5285/f9a69fcb-321d-4f65-a8cf-cfe789224c8f","doi:10.5285/f9a69fcb-321d-4f65-a8cf-cfe789224c8f"],"resourceType":"Dataset","ror":["https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"Mean daily flow and water chemistry data collected from the Tarland Burn, recorded between 2000-2010. Water chemistry determinands measured include: total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), total phosphorous (TP), particulate phosphorus (PP),...","state":"published","supplementalDescription":["Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial and temporal dynamics of stream water particulate and dissolved N, P and C forms along a catchment transect, NE Scotland. Journal of Hydrology, 350(3-4), 187-202","Stutter, M. I., Langan, S. J., & Cooper, R. J. (2008). Spatial contributions of diffuse inputs and within-channel processes to the form of stream water phosphorus over storm events. Journal of Hydrology, 350(34), 203-214"],"title":"Discharge and water chemistry measurements from Tarland Burn at Coull (Scotland) (2000-2010) ","topic":["0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"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":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product contains one band per aggregated habitat class (producing a 10 band image). The 10 aggregate classes are groupings of the 21 target classes, which are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. 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 UK CEH 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.\n","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"c7195a20-7943-4d5d-9f6e-c9fead472dde","incomingCitationCount":0,"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:\n1. Using gdal_calc to aggregate the 23 target classes into the 10 aggregate classes saving them as 10 individual images (one 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 10 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 10 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":"2026-05-11T17:45:45.000Z","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 EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c7195a20-7943-4d5d-9f6e-c9fead472dde","10.5285/c7195a20-7943-4d5d-9f6e-c9fead472dde","doi:10.5285/c7195a20-7943-4d5d-9f6e-c9fead472dde"],"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 aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product...","state":"published","title":"Land Cover Map 1990 (1km percentage aggregate class, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leicester","Specto Natura"],"authorFamilyName":["Cole","King","Ogutu","Palmer","Smith","Balzter"],"authorFullName":["Cole, B.","King, S.","Ogutu, B.","Palmer, D.","Smith, G.","Balzter, H."],"authorGivenName":["B.","S.","D.","G.","H."],"authorOrcid":["https://orcid.org/0000-0002-3822-7302","https://orcid.org/0000-0002-1804-6205","https://orcid.org/0000-0002-5381-0504","https://orcid.org/0000-0002-9053-4684"],"authorRor":["https://ror.org/04h699437","https://ror.org/05wn3nd60"],"availability":"Available","catalogue":"eidc","dataFormat":["Esri personal geodatabase (.mdb)"],"description":"This dataset for the UK, Jersey and Guernsey contains the Corine Land Cover (CLC) for 2012 (CLC2012). This dataset has been created from combining the 2012 land cover layers from the individual CLC files for the UK, Jersey and Guernsey. \n\nCLC is a dataset produced within the frame of the Initial Operations of the Copernicus programme (the European Earth monitoring programme previously known as GMES) on land monitoring. CLC provides consistent information on land cover and land cover changes across Europe. This inventory was initiated in 1985 (initial year 1990) and then established a time series of land cover information with updates in 2000 and 2006 the last one being the 2012 reference year.\n\nCLC products are based on the analysis of satellite images by national teams of participating countries - the EEA member and cooperating countries - following a standard methodology and nomenclature with the following base parameters: \n  - 44 classes in the hierarchical three level Corine nomenclature;\n  - Minimum mapping unit (MMU) for status layers is 25 hectares;\n  - Minimum width of linear elements is 100 metres;\n\nThe resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others.","documentType":"GEMINI_DOCUMENT","familyName":["Cole","King","Ogutu","Palmer","Smith","Balzter"],"fullName":["Cole, B.","King, S.","Ogutu, B.","Palmer, D.","Smith, G.","Balzter, H."],"givenName":["Beth","B.","S.","D.","G.","H."],"identifier":"32533dd6-7c1b-43e1-b892-e80d61a5ea1d","incomingCitationCount":11,"keyword":["Mapping","geospatial data","Natural resources","Global Monitoring for Environment and Security (GMES)"],"keywordsOther":["geospatial data","Natural resources","Global Monitoring for Environment and Security (GMES)"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"The Corine Land Cover database for the UK has been updated for the reference year 2012. Main objective of the project was the detection, identification and mapping of all land cover changes above 5 ha. Satellite images from 2011 to 2013 served as the basis for image interpretation. Aerial Imagery from Google Earth was used to support the interpretation process. Contrary to previous versions of the UK CLC, this time no up-to-date national land cover map was available. The last update of the National Land Cover Map stems from 2007 (LCM2007) and is closer to the CLC2006 status database than the new update reference. The EEA technical guidelines were followed for production using the InterChange support package for mapping CLC changes, and revising the 2006 map.\n\nThe shapefile has been created by combining the 2012 layers from the individual CLC database files: CLC2012_UK.mdb (Corine land cover for the UK), CLC2012_JE.mdb (Corine land cover for Jersey) and CLC2012_GG (Corine land cover for Guernsey). The projected coordinate system has been converted to WGS 84.","locations":["POLYGON((-8.648 49.146, -8.648 60.861, 1.768 60.861, 1.768 49.146, -8.648 49.146))"],"metadataDate":"2026-05-11T17:42:07.000Z","orcid":["https://orcid.org/0000-0002-3822-7302","https://orcid.org/0000-0002-1804-6205","https://orcid.org/0000-0002-5381-0504","https://orcid.org/0000-0002-9053-4684"],"organisation":["University of Leicester","Specto Natura","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1435045308309","CEH:EIDC::1435045308309","https://catalogue.ceh.ac.uk/id/32533dd6-7c1b-43e1-b892-e80d61a5ea1d","10.5285/32533dd6-7c1b-43e1-b892-e80d61a5ea1d","doi:10.5285/32533dd6-7c1b-43e1-b892-e80d61a5ea1d"],"resourceType":"Dataset","ror":["https://ror.org/04h699437","https://ror.org/05wn3nd60","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset for the UK, Jersey and Guernsey contains the Corine Land Cover (CLC) for 2012 (CLC2012). This dataset has been created from combining the 2012 land cover layers from the individual CLC files for the UK, Jersey and Guernsey. \n\nCLC is a dataset produced within...","state":"published","supplementalDescription":["Links to Pan-European High Resolution Layers (HRL) which provide information on specific land cover characteristics, and are complementary to the CORINE land cover (CLC) datasets."],"supplementalName":["Copernicus website"],"title":"Corine land cover 2012 for the UK, Jersey and Guernsey","topic":["0/Mapping/"],"version":1.0,"view":["public","hajd","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Hayes","Sharps"],"authorFullName":["Hayes, F.","Sharps, K."],"authorGivenName":["F.","K"],"authorOrcid":["https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0003-3265-1505"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measured data of flower numbers and flower size following ozone and warming treatments in the solardomes experimental facility at UKCEH. Ozone and meteorological conditions in the solardomes were also sampled continuously, and hourly data are provided for each parameter.\nThe ozone exposure and warming treatments were from 1st June to 25th October 2021 and flowers were counted and measured monthly over the period June to September 2021. Plants were obtained as ‘plug plants’ and were grown in pots in the solardomes.\n","documentType":"GEMINI_DOCUMENT","familyName":["Hayes","Sharps"],"fullName":["Hayes, F.","Sharps, K."],"funder":["Natural Environment Research Council"],"givenName":["F.","K.","K"],"identifier":"a33d5ee3-d201-4feb-83b9-765ee5b2c25e","incomingCitationCount":0,"keyword":["UK wildflowers","air pollution","ozone","warming"],"keywordsOther":["UK wildflowers","air pollution","ozone","warming"],"licence":"Open government licence","lineage":"The dataset comprises of manually collected data on flower numbers and size, with QA to check that data were within appropriate range, and outliers checked for plausibility. Ozone and meteorological conditions within the solardomes were automatically logged by PC, with QA to check that data were within appropriate range, outliers checked for plausibility, and gap-filling where necessary. ","metadataDate":"2026-05-11T18:17:28.000Z","orcid":["https://orcid.org/0000-0002-1037-5725","https://orcid.org/0000-0003-3265-1505"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a33d5ee3-d201-4feb-83b9-765ee5b2c25e","10.5285/a33d5ee3-d201-4feb-83b9-765ee5b2c25e","doi:10.5285/a33d5ee3-d201-4feb-83b9-765ee5b2c25e"],"resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measured data of flower numbers and flower size following ozone and warming treatments in the solardomes experimental facility at UKCEH. Ozone and meteorological conditions in the solardomes were also sampled continuously, and hourly data are...","state":"published","title":"Flower number and flower size of UK wildflowers following ozone and warming treatments, 2021","version":1.0,"view":["public","glenn"]},{"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":"Available","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":"2026-05-11T18:18:28.000Z","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":["Instituto de Geociências, Universidade de São Paulo, São Paulo","University of Leicester","Instituto Nacional de Pesquisas Da Amazônia (INPA), Coordenação de Dinâmica Ambiental (CODAM)","University of Leeds"],"authorFamilyName":["Cintra","Boom","Schöngart","Gloor","Brienen"],"authorFullName":["Cintra, B.","Boom, A.","Schöngart, J.","Gloor, E.","Brienen, R."],"authorGivenName":["B.","A.","J.","E.","R."],"authorOrcid":["https://orcid.org/0000-0002-5397-5755"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia).\n\nAll sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester.","documentType":"GEMINI_DOCUMENT","familyName":["Cintra","Boom","Schöngart","Gloor","Brienen"],"fullName":["Cintra, B.","Boom, A.","Schöngart, J.","Gloor, E.","Brienen, R."],"funder":["Natural Environment Research Council"],"givenName":["B.","A.","J.","E.","R.","Roel"],"identifier":"a5a862da-8db2-4881-9046-610c8573b499","incomingCitationCount":0,"keyword":["Environmental survey","Hydrology","Amazon Basin","Tree rings","Stable isotopes","Macrolobium acaciifolium","Cedrela odorata","Cigar-box wood"],"keywordsOther":["Amazon Basin","Tree rings","Stable isotopes","Macrolobium acaciifolium","Cedrela odorata","Cigar-box wood"],"keywordsTheme":["Environmental survey","Hydrology"],"licence":"Open government licence","lineage":"All sample preparation (i.e., cutting ring sections, cellulose extraction, weighing and packing) was done at the University of Leeds, and all isotope ratio measurements were done at Stable Isotope Laboratory at the University of Leicester. Cellulose was extracted directly from wood cross-sectional slices following the procedure of Kagawa et al. (2015): cross-sectional slices of 1-4mm thickness and 6-8 cm length were cut from the core samples with a circular diamond saw blade and packed in TEFLON perforated sheets. Cellulose was extracted from the raw wood material following the chemical procedure of Wieloch et al. (2011).","locations":["POLYGON((-77.648 -18.247, -77.648 -7.89, -63.507 -7.89, -63.507 -18.247, -77.648 -18.247))"],"metadataDate":"2026-05-11T18:21:49.000Z","orcid":["https://orcid.org/0000-0002-5397-5755"],"organisation":["Instituto de Geociências, Universidade de São Paulo, São Paulo","University of Leicester","Instituto Nacional de Pesquisas Da Amazônia (INPA), Coordenação de Dinâmica Ambiental (CODAM)","University of Leeds","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a5a862da-8db2-4881-9046-610c8573b499","10.5285/a5a862da-8db2-4881-9046-610c8573b499","doi:10.5285/a5a862da-8db2-4881-9046-610c8573b499"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"The data consist of tree ring oxygen (δ18Otr) and carbon (δ13Ctr) isotope data of Macrolobium acaciifolium and Cedrela odorata from five sites in the Amazon basin, including Pacaya (Peru) and Maranon (Peru), Leticia (Colombia), Manuripi (Bolivia) and Riberalta (Bolivia).\n\nAll...","state":"published","supplementalDescription":["Kagawa, A., Sano, M., Nakatsuka, T., Ikeda, T. and Kubo, S., 2015. An optimized method for stable isotope analysis of tree rings by extracting cellulose directly from cross-sectional laths. Chemical Geology, 393, pp.16-25.\n","Wieloch, T., Helle, G., Heinrich, I., Voigt, M. and Schyma, P., 2011. A novel device for batch-wise isolation of α-cellulose from small-amount wholewood samples. Dendrochronologia, 29(2), pp.115-117."],"title":"Amazon tree ring isotope records of Macrolobium acaciifolium and Cedrela odorata","topic":["0/Environmental survey/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents"}