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Research Programme 2022-2027, project: SRUC-D1-2","url":"https://catalogue.ceh.ac.uk/eidc/documents?facet=grant%7CStrategic%20Research%20Programme%202022-2027,%20project:%20SRUC-D1-2"},{"active":false,"count":1,"name":"TD1209","url":"https://catalogue.ceh.ac.uk/eidc/documents?facet=grant%7CTD1209"},{"active":false,"count":5,"name":"TH12224FR10","url":"https://catalogue.ceh.ac.uk/eidc/documents?facet=grant%7CTH12224FR10"}]},{"admin":true,"displayName":"Publication status","fieldName":"state","hierarchical":false,"results":[{"active":false,"count":2429,"name":"published","url":"https://catalogue.ceh.ac.uk/eidc/documents?facet=state%7Cpublished"}]}],"nextPage":"https://catalogue.ceh.ac.uk/eidc/documents?page=2","numFound":2429,"order":"asc","page":1,"results":[{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Cortese","Munson","Killen"],"authorFullName":["Cortese, D.","Munson, A.","Killen, S."],"authorGivenName":["D","A","SS"],"authorOrcid":["0000-0002-5746-3378"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about data collected for two different studies looking at the effect of maze complexity, metabolic rate, temperature and social behaviour on minnows (Phoxinus phoxinus) learning behaviour. Minnows learning behaviour and metabolic rate were measured under laboratory conditions using custom-made maze arenas and intermittent-flow respirometry. The experiments were conducted at the University of Glasgow in 2021-2022.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/T008334/1).","documentType":"GEMINI_DOCUMENT","familyName":["Cortese","Munson","Killen"],"fullName":["Cortese, D.","Munson, A.","Killen, S.","Daphne Cortese"],"funder":["Natural Environment Research Council"],"givenName":["D","A","SS"],"grant":["NE/T008334/1"],"identifier":"c394ddd5-7cb4-4207-a84a-7b197628ef65","incomingCitationCount":0,"keyword":["Animal behaviour","Learning","Sociality","Metabolic rate","Maze complexity"],"keywordsOther":["Learning","Sociality","Metabolic rate","Maze complexity"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Adult European minnows of undetermined sex were collected from the river Kelvin (Glasgow, 55°52′42″N, 004°17′03″W) in September 2021 with hand-nets and minnow traps and immediately brought to laboratory aquaria facilities. After acclimation we conducted the experiments. \n\nThe first experiment aimed to look at the effect of maze complexity and metabolic rate on learning of European minnows. We tested two maze complexities, two-door and four-door choice mazes. We video recorded minnows in each maze in order to get measurements of their behaviour and then performed intermittent-flow respirometry to measure oxygen consumption over time of each fish and estimate their metabolic rate.\nThe second experiment focused on the effect of temperature exposure, social behaviour and metabolic rate on learning of European minnows. We tested learning abilities in two temperatures (14 and 20 degree) and two social conditions (isolation or in group of 4 individuals). We measured minnows behaviour in the 4-door maze in each condition and then performed intermittent-flow respirometry to measure oxygen consumption over time of each fish and estimate their metabolic rate.\nWe collected the following data for each experiment: movement data (x,y positions over time), oxygen values (mg O2/h) over time and some fish information about their ID and body mass.\n\nBehavioural analyses were conducted with automated video analyses using Ethovision for experiment 1 and via blind visual annotation from video recording for experiment 2. The slopes in oxygen consumption were calculated using using the FishResp R package (Morozov et al., 2019, https://doi.org/10.1093/conphys/coz003) from oxygen data collected using remote oxygen sensors.\n\nMultiple steps of data quality were performed. First data analyses from Ethovision were visually scored to check for potential errors in the tracking software to detect the fish. We further explored for errors during data explorations steps, analyses and statistical analyses in R.\n\nLimitations on the data's reliability: in experiment 2 the video couldn't be tracked by automated software therefore blind visual detections of behaviours were operated (each video that was scored was anonymous to the operator so that the operator had no idea of the treatment or fish ID).","metadataDate":"2026-08-21T08:24:20.000Z","orcid":["0000-0002-5746-3378"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-08-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c394ddd5-7cb4-4207-a84a-7b197628ef65","10.5285/c394ddd5-7cb4-4207-a84a-7b197628ef65","doi:10.5285/c394ddd5-7cb4-4207-a84a-7b197628ef65"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about data collected for two different studies looking at the effect of maze complexity, metabolic rate, temperature and social behaviour on minnows (Phoxinus phoxinus) learning behaviour. Minnows learning behaviour and metabolic rate…","state":"published","title":"Learning behaviour and metabolic rate of common minnows under varying maze complexity, social conditions, and temperature treatments","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute"],"authorFamilyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"authorFullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"authorGivenName":["Jo","P.","D.","S.","M.","G.","E."],"authorOrcid":["0000-0001-6984-6766","0000-0001-7542-7832","0000-0002-6483-0113"],"authorRor":["https://ror.org/016476m91","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the biophysical measurements (mineral nitrogen, percent carbon, percent nitrogen, percent soil moisture, particle size analysis and aggregate stability) from soil collected from farmers' fields in the Halaba district, Southern Nations, Nationalities and Peoples' Region in Ethiopia, after the drought of 2015-2016. Eighteen farms from four kebeles (Asore, Lay Arisho, Konicha and 1st Choroko) were sampled. Soil cores were taken from fields classed as \"home\", \"near\" and \"far\" from the homestead and were taken from two depths (0-20cm and 20-50cm). Soil cores were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. This dataset was collected as part of the NERC-funded project Building Resilience in Ethiopia's Awassa region to Drought (BREAD).","documentType":"GEMINI_DOCUMENT","familyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"fullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"funder":["Natural Environment Research Council"],"givenName":["Jo","P.","D.","S.","M.","G.","E."],"grant":["NE/P004830/1"],"identifier":"024c5a61-5114-41a6-93b8-e3fb4d24622b","incomingCitationCount":2,"keyword":["NE/P004830/1","BREAD","Soil water","fertility zones within the household"],"keywordsProject":["NE/P004830/1","BREAD"],"keywordsTheme":["Soil water","fertility zones within the household"],"licence":"Open government licence","lineage":"The biophysical measurements were collected from farmers' fields in Halaba District near Hawassa (SNPPR, Ethiopia), after the drought of 2015-2016. Combined with the data provided by the ALTER project (deposited on the EIDC), this provides measurements of soil carbon (C), nitrogen (N) and water characteristics before and after the drought.\n\nSoil cores were collected from fields classed as \"home\", \"near\" and \"far\" from the homestead. This corresponds to fields at increasing distance from the household, but does not equate to a set distance; it is more a reflection of the typical land uses in the fields.\n\nMeasurements are provided at the surface (0-20cm) and below the plough layer (20-50cm). Measurements were collected from fields belonging to farmers with different wealth status (poor medium and rich) in four kebeles (parishes); Eighteen farms were sampled in each kebele.\n\nPercent N and percent C in the soil were measured by CNS elemental analyser, Soil pH was measured using a pH meter, 1:5 in CaCl2.\n\nMineral N measurements include nitrate, nitrite and ammonium in μmol per g soil. Nitrate and nitrite were determined by measuring absorbance over a period of 5 hours at a wavelength of 540nm. Ammonium was determined using the indophenol method by measuring absorbance for 30 minutes using a 620 nm wavelength.\n\nSoil moisture measurements include the soil moisture content when sampled and at -10 kPa (% by weight). It was not possible to obtain intact cores from Ethiopia or to conduct analysis in country due to equipment availability. Therefore, disturbed soil was repacked into collars and soils were saturated for 48 hours (some were hydrophobic) and then dried to -10 kPa matric potential using a tension table. This potential was selected to represent field capacity due to the sandy nature of this soil.\n\nParticle size and aggregate stability were measured for Asore and Lay Arisho only. The percent silt, sand and clay were determined by Laser-diffraction analysis (LDA). Aggregate stability was determined following the wet-sieving method. Bulk density measurements were not taken. However, pedotransfer functions have been derived from the ALTER measurements that allow bulk density to be determined from soil texture and C content.","locations":["POLYGON((33.047 2.108, 33.047 15.708, 48.604 15.708, 48.604 2.108, 33.047 2.108))"],"metadataDate":"2026-07-24T18:52:10.000Z","orcid":["0000-0001-6984-6766","0000-0001-7542-7832","0000-0002-6483-0113"],"organisation":["University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/024c5a61-5114-41a6-93b8-e3fb4d24622b","10.5285/024c5a61-5114-41a6-93b8-e3fb4d24622b","doi:10.5285/024c5a61-5114-41a6-93b8-e3fb4d24622b"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the biophysical measurements (mineral nitrogen, percent carbon, percent nitrogen, percent soil moisture, particle size analysis and aggregate stability) from soil collected from farmers' fields in the Halaba district, Southern Nations, Nationalities…","state":"published","supplementalDescription":["a related socio-economic survey data which is deposited under the IPORE project on the ESRC repository (UK Data Archive. 10.5255/UKDA-SN-853076.)"],"supplementalName":["Organic resource use in rural households in Ethiopia"],"temporalExtentText":"Data collected from 2015 to 2016","title":"Biophysical measurements from Ethiopia's Awassa region during the drought and subsequent floods of 2015-2016","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Plymouth"],"authorFamilyName":["Courtene-Jones","Cheung","Thompson","Hanley"],"authorFullName":["Courtene-Jones, W.","Cheung, S.W.H.","Thompson, R.C.","Hanley, M.E."],"authorGivenName":["W.","S.W.H.","R.C.","M.E."],"authorOrcid":["0000-0001-7893-5322","0000-0003-2262-6621"],"authorRor":["https://ror.org/008n7pv89"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains ecotoxicological measurements of coastal plant species Plantago coronopus, following exposure to microplastics and seawater inundation. The variables measured include mortality, growth, reproductive output, necrosis and photosynthetic efficiency, recorded over a total duration of 64-days. \nThis dataset was created as part of an experiment to investigate the effects of exposure to commercial pre-production biodegradable (polybutylene adipate terephthalate, PBAT) and conventional (Polyethylene terephthalate, PET) microplastics (0.2 % w/w). \nWork was supported by the NERC funded BIO-PLASTIC-RISK project, grant NE/V007556/1.\n","documentType":"GEMINI_DOCUMENT","familyName":["Courtene-Jones","Cheung","Thompson","Hanley"],"fullName":["Courtene-Jones, W.","Cheung, S.W.H.","Thompson, R.C.","Hanley, M.E."],"funder":["Natural Environment Research Council"],"givenName":["W.","S.W.H.","R.C.","M.E."],"grant":["NE/V007556/1"],"identifier":"6c95ed4f-bf16-40bb-8a16-ceb56aab1986","incomingCitationCount":0,"keyword":["Pollution","microplastic","plastic","plastic alternative","plastic substitute","stress ecology","multiple stressors","ecotoxicity"],"keywordsOther":["microplastic","plastic","plastic alternative","plastic substitute","stress ecology","multiple stressors","ecotoxicity"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"A 3 x 2 factorial experiment was conducted to examine the effect of combined exposure to microplastics (3 levels: none/conventional/biodegradable plastics) and seawater inundation (2 levels: presence/absence) affected the growth, stress responses and reproductive potential of P. coronopus (n = 10 per treatment).\nThroughout the experiment, measures associated with plant health: mortality and proportion of necrotic tissue (visually scored) were recorded. Quantum efficiency of Photosystem II (Fv/Fm) was measured throughout (plant efficiency analyser chlorophyll fluorimeter (Pocket PEA, Hansatech Instruments, UK)). The number of flower spike and the root:shoot ratio were determined when the experiment was terminated. \nThis dataset comprises 2 files Plantago_data.csv, and Plantago_data_necrosis.csv. details of their structure are provided in the accompanying README document. \n","metadataDate":"2026-07-25T06:48:36.000Z","orcid":["0000-0001-7893-5322","0000-0003-2262-6621"],"organisation":["University of Plymouth","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-08-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6c95ed4f-bf16-40bb-8a16-ceb56aab1986","10.5285/6c95ed4f-bf16-40bb-8a16-ceb56aab1986","doi:10.5285/6c95ed4f-bf16-40bb-8a16-ceb56aab1986"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/008n7pv89","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains ecotoxicological measurements of coastal plant species Plantago coronopus, following exposure to microplastics and seawater inundation. The variables measured include mortality, growth, reproductive output, necrosis and photosynthetic efficiency,…","state":"published","supplementalName":["Courtene-Jones, W. Cheung, S. W. H., Thompson, R. C., Hanley, M. E., (2024), The combined effect of microplastic exposure (biodegradable PBAT and conventional PET) and seawater inundation on the coastal terrestrial plant Plantago coronopus, Environmental Pollution, 124573 https://doi.org/10.1016/j.envpol.2024.124573"],"title":"Ecotoxicology data of coastal plants (Plantago coronopus) following exposure to microplastics and seawater inundation","topic":["0/Pollution/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"authorFullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"authorGivenName":["L","H","R","M","C"],"authorOrcid":["0000-0003-2530-2120"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony forming units (CFUs) of S. Typhimurium on the plastics after destructive sampling of the mesocosm jars. The results of a  flooding and leachate experiment are also included, containing transfer potential and leachate gradients of S. Typhimurium in each soil under ambient, and flooding conditions. Water was added to soil columns containing the microbeads to simulate flooding, and the CFUs in the water and on virgin plastics were measured to determine transfer potential. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken at each time point.\n\nThis dataset was created as part of a study investigating how human pathogens enter agricultural environments via flooding or contaminated irrigation, and to determine the survivability of S. Typhimurium in these soils. This work is supported by the National Environmental Research Council (NE/V005847/1).","documentType":"GEMINI_DOCUMENT","familyName":["Woodford","White","Fellows","Ormsby","Pow","Quilliam"],"fullName":["Woodford, L.","White, H.","Fellows, R.","Ormsby, M.","Pow, C.","Quilliam, R."],"funder":["Natural Environment Research Council"],"givenName":["L","H","R","M","C","Luke"],"grant":["NE/V005847/1"],"identifier":"0bfdfa23-15f8-4ffd-b1dc-e77178af0304","incomingCitationCount":0,"keyword":["Environmental risk","Pollution","Soil","Water quality","plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsOther":["plastic pollution","human pathogens","flooding","plastisphere","leachate","salmonella","mesocosm experiment"],"keywordsTheme":["Environmental risk","Pollution","Soil","Water quality"],"licence":"Open government licence","lineage":"Mesocosm experiments were designed in two stages. For the persistence experiment jars were filled with two soil types and microplastic beads were mixed with the soils and left. At each time point destructive sampling was used to recover the beads and measure the surviving CFUs of S. Typhimurium on the plastics. In the flooding and leachate experiment, water was added to columns containing beads and the CFUs recovered in the water was recorded (flooding) and CFUs on virgin plastics was used to measure transfer. In the persistence experiment samples were measured on days 1, 2, 3, 4, 7, 10, 14, 21, 28 and 35,  and  in the transfer and leachate experiments samples were measured after 7, 14 and 21 days, with four replicates being taken each at each time point.\n","metadataDate":"2026-07-24T18:59:56.000Z","orcid":["0000-0003-2530-2120"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304","doi:10.5285/0bfdfa23-15f8-4ffd-b1dc-e77178af0304"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains mesocosm experimental data quantifying the ability of the bacterium Salmonella enterica Serovar Typhimurium (S. Typhimurium) to persist on microplastic beads in podzol and loamy soil. Persistence was determined through measuring surviving colony…","state":"published","supplementalDescription":["Woodford, L., Fellows, R., White, H. L., Ormsby, M. J., Pow, C. J., & Quilliam, R. S. (2024). Survival and transfer potential of Salmonella enterica serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils. In Environmental Science and Pollution Research (Vol. 31, Issue 39, pp. 51353–51363). Springer Science and Business Media LLC. "],"temporalExtentText":"Data collected from 2023 to 2023","title":"Survival rates and transfer potential measurements of Salmonella enterica Serovar Typhimurium colonising polyethylene microplastics in contaminated agricultural soils","topic":["0/Environmental risk/","0/Pollution/","0/Soil/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"availability":"Unknown","catalogue":"eidc","description":"From 2012 to 2016, the Dynamic Drivers of Disease in Africa Consortium undertook a major ESPA-funded programme to advance understanding of the connections between animal-to-human disease transmission and environment in Africa. The Consortium comprised researchers from 21 institutions in Africa, Europe and America.\n\nThis project investigated whether disease regulation as an ecosystem service is affected by changes in biodiversity, climate and land use, with differential impacts on human health and well-being.\nFour diseases were studied, each affected in different ways by ecosystem change, different dependencies on wildlife and livestock hosts, with diverse impacts on people, their health and their livelihoods. The cases were Lassa fever in Sierra Leone, henipaviruses in Ghana, Rift Valley Fever in Kenya and trypanosomiasis in Zambia and Zimbabwe. Data are presented from the work carried out in Kenya and Zambia.\n\nThe Dynamic Drivers of Disease in Africa Consortium is funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme. The ESPA programme is funded by the Department for International Development (DFID), the Economic and Social Research Council (ESRC) and the Natural Environment Research Council.\n\nThe research was funded by NERC project nos NE/J000701/1, NE/J001570/1","documentType":"GEMINI_DOCUMENT","familyName":["Leach"],"fullName":["Leach, M."],"givenName":["M."],"identifier":"3de48cb6-d1c2-446e-a652-57d329849361","incomingCitationCount":0,"keyword":["Dynamic drivers of disease in Africa","DDDAC"],"keywordsProject":["Dynamic drivers of disease in Africa","DDDAC"],"licence":"Non-Open government licence","lineage":"See the lineage statements for individual datasets.","locations":["POLYGON((39.67 -1.53, 39.67 -1.06, 40.05 -1.06, 40.05 -1.53, 39.67 -1.53))","POLYGON((21.711 -18.729, 21.711 -8.014, 33.928 -8.014, 33.928 -18.729, 21.711 -18.729))","POLYGON((38.93 0.64, 38.93 -1.89, 41.14 -1.89, 41.14 0.64, 38.93 0.64))"],"metadataDate":"2026-07-24T20:41:04.000Z","organisation":["University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-17T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3de48cb6-d1c2-446e-a652-57d329849361"],"resourceType":"Aggregation","ror":["https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"From 2012 to 2016, the Dynamic Drivers of Disease in Africa Consortium undertook a major ESPA-funded programme to advance understanding of the connections between animal-to-human disease transmission and environment in Africa. The Consortium comprised researchers from…","state":"published","temporalExtentText":"Data collected from 2012 to 2016","title":"Dynamic drivers of disease in Africa (DDDAC)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Maskell","Astbury","Burden","Emmett","Garbutt","Goodwin","Henrys","Jarvis","Norton","Owen","Sharps","Smart","Williams","Wood","Wright"],"authorFullName":["Maskell, L.C.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Goodwin, A.","Henrys, P.A.","Jarvis, S.G.","Norton, L.R.","Owen, A.","Sharps, K.","Smart, S.M.","Williams, B.","Wood, C.M.","Wright, S.M."],"authorGivenName":["L.C.","S.","A.","B.A.","A. ","P.A.","S.G.","L.R.","K.","S.M.","B.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-3265-1505","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set consists of measurements of areas of landscape features and associated attributes from sites across Wales, collected between 2013 and 2016.  Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant species and land use), within a set of 300 x 1km squares across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). \n\nThe monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.  The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Astbury","Burden","Emmett","Garbutt","Goodwin","Henrys","Jarvis","Norton","Owen","Sharps","Smart","Williams","Wood","Wright"],"fullName":["Maskell, L.C.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Goodwin, A.","Henrys, P.A.","Jarvis, S.G.","Norton, L.R.","Owen, A.","Sharps, K.","Smart, S.M.","Williams, B.","Wood, C.M.","Wright, S.M.","Maskell, L."],"givenName":["L.C.","S.","A.","B.A.","A. ","P.A.","S.G.","L.R.","K.","S.M.","B.","C.M.","Lindsay"],"identifier":"82c63533-529e-47b9-8e78-51b27028cc7f","incomingCitationCount":0,"keyword":["Wales","Glastir Monitoring and Evaluation Programme (GMEP)","Agriculture","Environmental survey","habitat","broad habitat","priority habitat"],"keywordsOther":["habitat","broad habitat","priority habitat"],"keywordsPlace":["Wales"],"keywordsProject":["Glastir Monitoring and Evaluation Programme (GMEP)"],"keywordsTheme":["Agriculture","Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology.  Standardised methodologies were applied throughout.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-25T08:37:02.000Z","orcid":["0000-0003-4006-7755","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-3265-1505","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/82c63533-529e-47b9-8e78-51b27028cc7f","10.5285/82c63533-529e-47b9-8e78-51b27028cc7f","doi:10.5285/82c63533-529e-47b9-8e78-51b27028cc7f"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of measurements of areas of landscape features and associated attributes from sites across Wales, collected between 2013 and 2016.  Data are presented as areas of Broad (or Priority) Habitats, with associated landscape attributes (such as plant…","state":"published","supplementalDescription":["Project website: Glastir Monitoring and Evaluation Programme (GMEP)","ERAMMP website","Country Side survey website"],"supplementalName":["Glastir Monitoring and Evaluation Programme (GMEP) website","ERAMMP website","Country Side survey website"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Landscape and habitat area data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","topic":["0/Agriculture/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Dunbar","Murphy","Clarke","Davies","Scarlett"],"authorFullName":["Dunbar, M.","Murphy, J.","Clarke, R.","Davies, C.","Scarlett, P."],"authorGivenName":["M.","J.","R.","C.","P."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 2007. Macro-invertebrates were sampled using standard protocols. The sample area in each stream was a single area of stream-bed whose major habitat types can be sampled within the recommended sampling period of three minutes of active sampling, supplemented by a one minute hand search. The length of river surveyed would normally vary from 5 to 15m. Samples were collected using a standard 1mm mesh pond net and returned to the Centre for Ecology & Hydrology for later sorting and identification. Supplemental physical measurements (width, depth, substrate composition) required to run RIVPACS (River Invertebrate Prediction and Classification System) were taken.\nData were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Dunbar","Murphy","Clarke","Davies","Scarlett"],"fullName":["Dunbar, M.","Murphy, J.","Clarke, R.","Davies, C.","Scarlett, P."],"givenName":["M.","J.","R.","C.","P."],"identifier":"18849325-358b-4af1-b20d-d750b1c723a3","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","Water quality","Freshwater macroinvertebrates"],"keywordsOther":["Freshwater macroinvertebrates"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Data were collected in the summer of 2007 by field surveyors. Data were recorded from up to 591km squares sited across Britain, selected by random stratified sample. The survey was undertaken according to standardized protocols. Occurrence of species was recorded on paper and data were entered post-survey. Data are managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:12:59.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/18849325-358b-4af1-b20d-d750b1c723a3","10.5285/18849325-358b-4af1-b20d-d750b1c723a3","doi:10.5285/18849325-358b-4af1-b20d-d750b1c723a3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 2007. Macro-invertebrates were sampled using standard protocols. The sample area in each stream was a single area of stream-bed whose major habitat types can be…","state":"published","supplementalName":["Countryside Survey website"],"temporalExtentText":"Data collected from 2007 to 2007","title":"Headwater stream invertebrate data 2007 [Countryside Survey] ","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Stirling"],"authorFamilyName":["Ormsby","Woodford","White","Fellows","Quilliam"],"authorFullName":["Ormsby, M.J.","Woodford, L.","White, H.L.","Fellows, R.","Quilliam, R.S."],"authorGivenName":["M.J.","L.","H.L.","R.","R.S."],"authorOrcid":["0000-0002-3991-2336","0000-0003-2530-2120","0000-0001-7020-4410"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of environmental UV exposure. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C), bacterial concentration (CFU/ml), survival percentages, and regression parameters. Data were sampled over a 21-day period using culture-based approaches; and the ability of isolates to cause disease following their recovery was determined through the use of a Galleria mellonella model.\n\nThis work was supported by the UKRI Natural Environment Research Council (NERC) as part of the GCRF SPACES project [grant number NE/V005847/1] and the Plastic Vectors project, “Microbial hitch-hikers of marine plastics: the survival, persistence & ecology of microbial communities in the ‘Plastisphere’” [grant number NE/S005196/1].\n","documentType":"GEMINI_DOCUMENT","familyName":["Ormsby","Woodford","White","Fellows","Quilliam"],"fullName":["Ormsby, M.J.","Woodford, L.","White, H.L.","Fellows, R.","Quilliam, R.S."],"funder":["Natural Environment Research Council"],"givenName":["M.J.","L.","H.L.","R.","R.S."],"grant":["NE/V005847/1","NE/S005196/1"],"identifier":"57ef148f-8cfb-4ba6-b673-114b22b21613","incomingCitationCount":0,"keyword":["Pollution","biofilm","environmental pollution","ultraviolet radiation","waste management","public health","plastic waste"],"keywordsOther":["biofilm","environmental pollution","ultraviolet radiation","waste management","public health","plastic waste"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Biofilm formation, persistence, pathogenicity, and die-off rates of Salmonella were investigated through controlled laboratory experiments. Biofilms were generated on various materials in nutrient-rich and surface water environments and analysed by CFU analysis. Persistence was assessed by recovering Salmonella from biofilms over 28 days, followed by serial dilution, selective plating, and confirmatory PCR targeting the ttr gene.\n\nPathogenicity was evaluated using Galleria mellonella larvae, with standardised inoculation protocols and survival monitoring for 72 hours. Die-off rates were determined by log10 transformation of CFU counts and modelled using linear regression, with statistical analyses (ANOVA, Holm-Šídák's multiple comparisons post-hoc tests) to evaluate treatment effects. Data underwent thorough validation at each stage, including replication, selective media confirmation, and regression modelling, ensuring high reliability and accuracy before submission.\n","metadataDate":"2026-09-02T08:02:29.000Z","orcid":["0000-0002-3991-2336","0000-0003-2530-2120","0000-0001-7020-4410"],"organisation":["University of Stirling","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57ef148f-8cfb-4ba6-b673-114b22b21613","10.5285/57ef148f-8cfb-4ba6-b673-114b22b21613","doi:10.5285/57ef148f-8cfb-4ba6-b673-114b22b21613"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information relating to the survival and persistence of Salmonella spp. on plastic and glass, under conditions simulant of environmental UV exposure. The data encompass bacterial strain identity, material type, timepoints (days), temperature (°C),…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Survival of Salmonella typhimurium on plastic waste under simulated environmental UV stress conditions","topic":["0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Hong Kong","University of Liverpool","University of Western Australia","Natural History Museum, London"],"authorFamilyName":["Ashton","Griffiths","Parr","Evans","Eggleton"],"authorFullName":["Ashton, L.A.","Griffiths, H.M.","Parr, C.L.","Evans, T.A.","Eggleton, P."],"authorGivenName":["L.A.","H.M. ","C.L.","T.A.","P."],"authorOrcid":["0000-0001-6471-0827","0000-0002-4800-8031"],"authorRor":["https://ror.org/02zhqgq86","https://ror.org/04xs57h96","https://ror.org/047272k79","https://ror.org/039zvsn29"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of invertebrate abundance data and associated ecosystem measurements (Including  leaf litter depth and mass, seedlings, soil moisture and nutrients, and rainfall) measured within an area of lowland, old growth dipterocarp rainforest in the Maliau Basin Conservation Area, Sabah, Malaysia between 2015 and 2016.  Data were collected during a collaborative project which was included in the NERC Human-modified tropical forest (HMTF) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Ashton","Griffiths","Parr","Evans","Eggleton"],"fullName":["Ashton, L.A.","Griffiths, H.M.","Parr, C.L.","Evans, T.A.","Eggleton, P.","Ashton, L."],"funder":["Natural Environment Research Council"],"givenName":["L.A.","H.M. ","C.L.","T.A.","P.","Louise"],"identifier":"1e9993ae-add7-497a-b54b-745b0fc6a7ca","incomingCitationCount":1,"keyword":["Malaysia","Sabah","Maliau Basin Conservation Area","HMTF","Human-modified tropical forest","Bulbitermtes","Coptotermes","Dicuspiditermes","Globertermes","Hetertermes","Homallotermes","Hypotermes","Macrotermes","Malaysiotermes","Microcerotermes","Odontotermes","Parrhinotermes","Procapritermes","Prohamitermes","Schedorhinotermes","Termes"],"keywordsOther":["Bulbitermtes","Coptotermes","Dicuspiditermes","Globertermes","Hetertermes","Homallotermes","Hypotermes","Macrotermes","Malaysiotermes","Microcerotermes","Odontotermes","Parrhinotermes","Procapritermes","Prohamitermes","Schedorhinotermes","Termes"],"keywordsPlace":["Malaysia","Sabah","Maliau Basin Conservation Area"],"keywordsProject":["HMTF","Human-modified tropical forest"],"licence":"Open government licence","lineage":"Data were collected from a field site in a dipterocarp rainforest in the Maliau Basin Conservation Area, Sabah, Malaysia. For further details, please see the supporting documentation. ","locations":["POLYGON((117.42 4.583, 117.42 4.773, 117.718 4.773, 117.718 4.583, 117.42 4.583))"],"metadataDate":"2026-09-15T08:39:57.000Z","orcid":["0000-0001-6471-0827","0000-0002-4800-8031"],"organisation":["University of Hong Kong","University of Liverpool","University of Western Australia","Natural History Museum, London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-11-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e9993ae-add7-497a-b54b-745b0fc6a7ca","10.5285/1e9993ae-add7-497a-b54b-745b0fc6a7ca","doi:10.5285/1e9993ae-add7-497a-b54b-745b0fc6a7ca"],"resourceType":"Dataset","ror":["https://ror.org/02zhqgq86","https://ror.org/04xs57h96","https://ror.org/047272k79","https://ror.org/039zvsn29","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of invertebrate abundance data and associated ecosystem measurements (Including  leaf litter depth and mass, seedlings, soil moisture and nutrients, and rainfall) measured within an area of lowland, old growth dipterocarp rainforest in the Maliau…","state":"published","temporalExtentText":"Data collected from 2014 to 2017","title":"Termite abundance and ecosystem processes in Maliau Basin, 2015-2016","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Forestry England","NatureMetrics"],"authorFamilyName":["Stringer","Swan"],"authorFullName":["Stringer, A.","Swan, D."],"authorGivenName":["A.","D."],"authorOrcid":["0000-0002-6192-275X","0000-0001-8978-8129"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains percentages, counts and metrics of fungi, invertebrates, and soil invertebrates from 656 soil samples collected from 21 Forestry England and partner sites across England throughout 2023. The sites included an ancient woodland National Nature Reserve, sitka spruce monocultures, heather moorland and breck heath. Important sites for nature recovery were also sampled: New Forest, Forest of Dean, and Wild Ennerdale. \n\nThe soil samples were collected as part of the Forestry England 2023 eDNA Survey. The primary aim of the survey was to establish a baseline in order to detect future change alongside reference sites. \n","documentType":"GEMINI_DOCUMENT","familyName":["Stringer","Swan"],"fullName":["Stringer, A.","Swan, D."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["A.","D."],"identifier":"07c32201-c374-4432-a00b-832dedee571e","incomingCitationCount":0,"keyword":["England","Environmental survey","Soil","metabarcoding","Forestry England","environmental DNA (eDNA)","fungus","invertebrate"],"keywordsOther":["metabarcoding","Forestry England","environmental DNA (eDNA)","fungus","invertebrate"],"keywordsPlace":["England"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"The soil samples were collected by project officers, district ecologists, and contractors using standard soil sampling approaches and kits provided by NatureMetrics. Nine subsamples were mixed to create a sample. Five samples were taken within a 5ha plot. Between three and ten plots were used per site. Environmental DNA metabarcoding was completed on samples using three primers, ITS2, 18S, and COI by NatureMetrics. NatureMetrics analysed all samples, including their standard quality assurance procedure, and provided the data to Forestry England. Forestry England checked the data and prepared it (e.g., conversion to CSV) for EIDC submission. Please note that several GPS coordinates in the metadata are thought to be inaccurate and are highlighted as such.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T18:56:55.000Z","orcid":["0000-0002-6192-275X","0000-0001-8978-8129"],"organisation":["Forestry England","NatureMetrics","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07c32201-c374-4432-a00b-832dedee571e","10.5285/07c32201-c374-4432-a00b-832dedee571e","doi:10.5285/07c32201-c374-4432-a00b-832dedee571e"],"resourceType":"Dataset","rightsHolder":["Forestry England"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains percentages, counts and metrics of fungi, invertebrates, and soil invertebrates from 656 soil samples collected from 21 Forestry England and partner sites across England throughout 2023. The sites included an ancient woodland National Nature Reserve,…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Fungi and invertebrate environmental DNA detections in soil samples from 21 sites across England, 2023","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Rothamsted Research","Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Blaud","Abadie","Clark","Hirsch","Griffiths","Goodall","Carswell","Misselbrook","Shaw","Sánchez-Rodríguez","Chadwick","Jones","Cowan","Skiba","Reinsch"],"authorFullName":["Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Griffiths, R.I.","Goodall, T.I.","Carswell, A.M.","Misselbrook, T.H.","Shaw, R.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Cowan, N.J.","Skiba, U.","Reinsch, S."],"authorGivenName":["A.","M.","I.M.","P.R.","R.I.","T.I.","A.M.","T.H.","R.","A.R.","D.R.","D.L.","N.J.","U.","S."],"authorOrcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0002-3341-4547","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0001-8659-6092","0000-0003-4649-0677"],"authorRor":["https://ror.org/0347fy350","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data nitrogen gene data, soil biodiversity indices and microbial community composition, for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016. The sites were Rothamsted Research at North Wyke in Devon, Bangor University at Henfaes Research Station in North Wales and Easter Bush in Scotland.\n\nAt each site measurements were taken from 16 plots, organised within a randomised complete block design where 4 plots did not receive fertilizers (controls), 4 plots received urea only, 4 plots received urea and urea-inhibitors, and 4 plots received ammonium-nitrate (Nitram). Fertiliser was applied three times and three cuts were performed, all parameters measured were following a fertiliser application. Samples were taken before the fertilizer additions, at peak growth and before the last silage cut.\n\nSoil chemical parameters were: soil nitrate, ammonium, dissolved organic carbon and nitrogen, amino acids and peptides, soil organic matter content as loss-on-ignition, pH, sodium, potassium, calcium, magnesium, permanganate oxdisable carbon citric acid extractable phosphorous, Olsen-P and total carbon, nitrogen and phosphorus. Soil biological measure were: microbial biomass carbon and nitrogen. Soil physico-chemical parameters were measured on the same samples and are available in a related dataset measured on the same soil samples and are presented in a separate dataset in the project data series (https://catalogue.ceh.ac.uk/id/7a87dde4-b54e-49b0-8751-1d59e8aebb90).\n\nMeasurements were undertaken by members of staff from the Centre of Ecology & Hydrology (Bangor, Edinburgh, Lancaster, Wallingford), Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences, North Wyke.\n\nData was collected for the Newton Fund project \"UK-China Virtual Joint Centre for Improved Nitrogen Agronomy\". Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC -  Ref BB/N013468/1","documentType":"GEMINI_DOCUMENT","familyName":["Blaud","Abadie","Clark","Hirsch","Griffiths","Goodall","Carswell","Misselbrook","Shaw","Sánchez-Rodríguez","Chadwick","Jones","Cowan","Skiba","Reinsch"],"fullName":["Blaud, A.","Abadie, M.","Clark, I.M.","Hirsch, P.R.","Griffiths, R.I.","Goodall, T.I.","Carswell, A.M.","Misselbrook, T.H.","Shaw, R.","Sánchez-Rodríguez, A.R.","Chadwick, D.R.","Jones, D.L.","Cowan, N.J.","Skiba, U.","Reinsch, S."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["A.","M.","I.M.","P.R.","R.I.","T.I.","A.M.","T.H.","R.","A.R.","D.R.","D.L.","N.J.","U.","S."],"grant":["BB/N013468/1"],"identifier":"59f81d41-a789-4c5c-8ab8-36baa7ac2c55","incomingCitationCount":0,"keyword":["CINAg","Centre for improved Nitrogen agronomy","Soil","Urease Inhibitor","Soil properties","grassland","nitrogen","fertiliser","soil"],"keywordsOther":["Urease Inhibitor","Soil properties","grassland","nitrogen","fertiliser","soil"],"keywordsProject":["CINAg","Centre for improved Nitrogen agronomy"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil samples were taken by members of the sites. At North Wyke and Henfaes farm, staff from CEH Bangor helped taking the samples. Two sets of soil cores were taken. One was sent in cooling boxes on ice to CEH Bangor for measuring soil physicochemical properties. The second set was sent to Rothamsted Research Harpenden for the analysis of nitrogen genes and microbial community composition (related dataset). The topsoil 0-15 cm were taken with the same type of corer across the sites, samples below 15 cm soil depth were sampled with corers available at the sites. Samples were wet sieved to 5 mm by staff from Bangor University and CEH Bangor. Subsamples of these were analysed for physicochemical and biological parameters.\n\nDNA extractions were performed by Rothamsted Research Harpenden. Extracts were analyzed for nitrogen genes at Rothamsted Research in Harpenden. Extracts were also sent to CEH Wallingford for analyses of Operational Taxonomic Units (OTU's).\n\nSoil community DNA was extracted from 0.25 gams soil using the MoBio DNA PowerSoil DNA isolation kit (Mo Bio Laboratories, Inc. Carlsbad, CA), following manufacturer’s protocol. Extracted DNA was quantified by fluorometer Qubit® 2.0 dsDNA BR Assay Kit (Thermo Fisher Scientific) and quality checked by nanodrop (Thermo Fisher Scientific).\n\nQuantitative-polymerase chain reaction (qPCR) protocols were as detailed in De Sosa et al. 2018.\n\nMicrobial nitrogen cycling gene abundance was investigated by qPCR targeting specific genes or genetic regions. Bacterial and archaeal communities were targeted via the 16S rRNA genes, while the fungal community abundance was targeted by the ITS region. The different genes involved in soil nitrogen cycling were investigated: \n•\tNitrogen fixation (nifH gene)\n•\tNitrification by targeting the ammonia oxidising bacteria (AOB) and archaea (AOA) (amoA gene)\n•\tDenitrifiers via the nitrite reductase (nirK and nirS genes) and the nitrous oxide reductase (nosZ genes clade I and II)\n•\tDegradation of urea was also assessed by targeting the ureC gene\n\nqPCR amplifications were performed in 10 μL volumes containing 5 μL of QuantiFast (Qiagen, Manchester, UK), 2.8 μL of nuclease-free water (Severn Biotech, Kidderminster, UK), 0.1 μL of each primer (1 μM) and 2 μL of template DNA at 5 ng μL−1, using a CFX384 Touch® Real-Time PCR Detection System (Bio-Rad, Hemel Hempstead, UK). \n\nStandards for each molecular target were obtained using a 10 fold serial dilution of PCR products amplified from an environmental reference DNA (also used as positive control) and purified by gel extraction using the Wizard® SV Gel and PCR Clean Up System (Promega, Southampton, UK) following the manufacturer's instruction and quantified by fluorometer Qubit® 2.0 dsDNA BR Assay Kit (Thermo FisherScientific). \n\nStandard curve template DNA and the negative/positive controls were amplified in triplicate. Amplification conditions for all qPCR assays consisted in 2 steps: first denaturation at 95 degrees Celsius for 5 minutes followed by 40 cycles at 95 degrees Celsius for 10 seconds and 60 degrees Celsius for 30 seconds that included annealing, elongation and reading. Each amplification was followed by melting curve (increase in temperature from 60 degrees Celsius to 95 degrees Celsius, with a reading every 0.5degrees Celsius) to assess the specificity of each assay.\n\nThe efficiency of the qPCR varied between 85.2 percent and 95.9 percent (except nozII 74.4 percent, amplicon 746 bp long), and R2 between 0.987 and 0.999. The melting curves showed specificity for all the genes, except as expected for the fungal Internal Transcribed Spacer (ITS), that showed the amplification of products of different lengths, due to the variability in length of the ITS region between different fungal taxa (Manter and Vivanco, 2007).\n\nMicrobial diversity indices:\nExtracted DNA was supplied from Rothamsted Research in Harpenden (see section 5.4.13 in main supporting document) for amplicon sequencing at the facilities of the Molecular Ecology Group, Centre for Ecology & Hydrology, Wallingford. <50 μL volumes of DNA extract were supplied in 96-well plate format, these were subject to:\n•\t16S rRNA amplicon sequencing as per Kozich 2013 (Development of a dual-index sequencing strategy and curation pipeline for analyzing amplicon sequence data on the MiSeq Illumina sequencing platform), utilising V3-V4 region primers\n•\tITS rRNA amplicon sequencing employing the Kozich 2013 strategy, utilizing ITS primers by Ihrmark 2012 (New primers to amplify the fungal ITS2 region--evaluation by 454-sequencing of artificial and natural communities)\n\nAmplicons were sequenced on Illumina MiSeq platform with V3 chemistry. Resulting sequences were demultiplexed using Illumina Basespace. 16S amplicons were processed using in-house developed pipelines for quality filtering, merging and taxonomic assignment (GreenGenes database) of operational taxonomic units (OTUs). ITS amplicons were processed using the R package Dada2 for quality filtering, merging. \nR package Vegan was used to analyse amplicon sequences. Bacterial and fungal Shannon’s Index diversity scores for each sample were produced from rarefied data using diversity function. Species richness for each sample were similarly produced using ‘specnumber’ function.\n\nBacterial phylum level frequencies were produced from taxonomically identified OTU sequences (using Greengenes database), these values are a percentage of the rarefied total.\n\nAll results were entered into CSV spreadsheet.","locations":["POLYGON((-4.022 50.767, -4.022 55.873, -3.191 55.873, -3.191 50.767, -4.022 50.767))"],"metadataDate":"2026-07-24T23:07:54.000Z","orcid":["0000-0003-0860-8080","0000-0002-1589-5420","0000-0002-3341-4547","0000-0003-0580-6698","0000-0002-4594-3606","0000-0001-8734-2035","0000-0002-1482-4209","0000-0001-8659-6092","0000-0003-4649-0677"],"organisation":["Rothamsted Research","Centre for Ecology & Hydrology","Bangor University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-04-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59f81d41-a789-4c5c-8ab8-36baa7ac2c55","10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55","doi:10.5285/59f81d41-a789-4c5c-8ab8-36baa7ac2c55"],"resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data nitrogen gene data, soil biodiversity indices and microbial community composition, for three soil depths (0-15, 15-30 and 30-60 cm) from a three-cut silage plot trial located at three grassland sites within the UK collected between April 2016 and October 2016.…","state":"published","supplementalDescription":["Manter, D. K., & Vivanco, J. M. (2007). Use of the ITS primers, ITS1F and ITS4, to characterize fungal abundance and diversity in mixed-template samples by qPCR and length heterogeneity analysis. Journal of Microbiological Methods, 71(1), 7–14.","Kozich, J.J., Westcott, S.L., Baxter, N.T., Highlander, S.K., & Schloss, P.D. (2013). Development of a Dual-Index Sequencing Strategy and Curation Pipeline for Analyzing Amplicon Sequence Data on the MiSeq Illumina Sequencing Platform. Applied and Environmental Microbiology, 79(17), 5112–5120.","de Sosa, L.L., Glanville, H.C., Marshall, M.R., Schnepf, A., Cooper, D.M., Hill, P.W., … Jones, D.L. (2018). Stoichiometric constraints on the microbial processing of carbon with soil depth along a riparian hillslope. Biology and Fertility of Soils, 54(8), 949–963. "],"supplementalName":["Kozich 2013 ","GreenGenes database","The UK-China Virtual Joint Centre for Improved Nitrogen Agronomy (CINAG)"],"temporalExtentText":"Data collected from 2016 to 2016","title":"Soil biological properties from an inorganic fertiliser (grass trial) experiment at North Wyke, Henfaes Farm and Easter Bush, UK (2016)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Nature Conservancy Council"],"authorFamilyName":["Rennie","Findlay","Millar"],"authorFullName":["Rennie, S.","Findlay, I.","Millar, A."],"authorGivenName":["S.","I.","A."],"authorOrcid":["0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Climatic data from four sites (Newton Rigg,  Widdybank Fell, Moor House and Great Dun Fell)  along an altitudinal gradient in Cumbria 1952-1990.  Standard Meteorological Office procedures were used.  ","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Findlay","Millar"],"fullName":["Rennie, S.","Findlay, I.","Millar, A."],"givenName":["S.","I.","A."],"identifier":"ab42fb7d-809f-4492-9ba5-c8aeebdee838","incomingCitationCount":0,"keyword":["Newton Rigg","Widdybank Fell","Moor House","Great Dun Fell","Climate and climate change","Environmental survey"],"keywordsPlace":["Newton Rigg","Widdybank Fell","Moor House","Great Dun Fell"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"These data were stored in a database at the Centre for Ecology & Hydrology [as described in: Cuthbertson, M. (1993) - see supplemental information for reference]. This is a historic dataset so quality assurance procedures for the data are unknown.","locations":["POLYGON((-3.245 54.5, -3.245 54.856, -2.187 54.856, -2.187 54.5, -3.245 54.5))"],"metadataDate":"2026-07-25T13:21:32.000Z","orcid":["0000-0002-0027-0436"],"organisation":["Centre for Ecology & Hydrology","Nature Conservancy Council","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-02-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab42fb7d-809f-4492-9ba5-c8aeebdee838","10.5285/ab42fb7d-809f-4492-9ba5-c8aeebdee838","doi:10.5285/ab42fb7d-809f-4492-9ba5-c8aeebdee838"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Climatic data from four sites (Newton Rigg,  Widdybank Fell, Moor House and Great Dun Fell)  along an altitudinal gradient in Cumbria 1952-1990.  Standard Meteorological Office procedures were used.  ","state":"published","supplementalDescription":["Cuthbertson, M., 1993. A database for environmental research programmes. Journal of Environmental Management, 37(4), pp.291-300."],"supplementalName":["Additional contextual information about the resource"],"temporalExtentText":"Data collected from 1952 to 1990","title":"Climatic data (Meteorological Office recordings) from four sites along an altitudinal gradient in Cumbria 1952 - 1990","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Rothamsted Research","Forest Research","DSTL","Countryside Council for Wales","ADAS UK Ltd","The James Hutton Institute"],"authorFamilyName":["Dick","Andrews","Beaumont","Benham","Brooks","Corbett","Lloyd","McMillan","Monteith","Pilgrim","Rose","Scott","Smith","Taylor","Turner","Watson"],"authorFullName":["Dick, J.","Andrews, C.","Beaumont, D.A.","Benham, S.","Brooks, D.R.","Corbett, S.","Lloyd, D.","McMillan, S.","Monteith, D.T.","Pilgrim, E.S.","Rose, R.","Scott, A.","Scott, T.","Smith, R.I.","Taylor, C.","Taylor, M.","Turner, A.","Watson, H."],"authorGivenName":["J.","C.","D.A.","S.","D.R.","D.","D.T.","E.S.","R.","A.","T.","R.I.","M.","H."],"authorOrcid":["0000-0002-4180-9338","0000-0003-2428-272X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/03wcc3744","https://ror.org/006d11e04","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"73 ecosystem services variables for 11 Environmental Change Network (ECN) sites throughout the UK mainland. The variables cover provisioning (food, fibre, fuel, genetic resources, biochemical and pharmaceuticals, ornamental), regulating (air quality regulation, climate regulation, water regulation, erosion, human diseases, biological control, pollination, natural hazard, other hazards) and cultural (cultural diversity) service types. The list of variables was agreed at an ECN site manager's workshop as representative of the high level categories defined by the Millennium Ecosystem Assessment. The variables were calculated from data from three sources (i) data collected for the ECN to standard ECN protocols, (ii) data obtained by site managers from a variety of other sources for their site and (iii) expert knowledge of site managers. The data were from a single year (usually 2009) or were averages of annual measurements. Established in 1992, the ECN is the UK's long-term environmental monitoring and research programme and makes regular measurements of air, soil, water and a range of animals and plants across a network of sites to determine how and why the natural environment is changing. The ECN is a multi-agency programme sponsored by a consortium of UK government departments and agencies.","documentType":"GEMINI_DOCUMENT","familyName":["Dick","Andrews","Beaumont","Benham","Brooks","Corbett","Lloyd","McMillan","Monteith","Pilgrim","Rose","Scott","Smith","Taylor","Turner","Watson"],"fullName":["Dick, J.","Andrews, C.","Beaumont, D.A.","Benham, S.","Brooks, D.R.","Corbett, S.","Lloyd, D.","McMillan, S.","Monteith, D.T.","Pilgrim, E.S.","Rose, R.","Scott, A.","Scott, T.","Smith, R.I.","Taylor, C.","Taylor, M.","Turner, A.","Watson, H."],"givenName":["J.","C.","D.A.","S.","D.R.","D.","D.T.","E.S.","R.","A.","T.","R.I.","M.","H."],"identifier":"2c5f823d-0dca-4e66-b021-de3e81131979","incomingCitationCount":0,"keyword":["United Kingdom","Alice Holt","Cairngorm","Drayton","Glensaugh","Moor House","North Wyke","Porton Down","Rothamsted","Snowdon","Sourhope","Natural Capital","Ecosystem services","Watt Section"],"keywordsOther":["Natural Capital","Ecosystem services","Watt Section"],"keywordsPlace":["United Kingdom","Alice Holt","Cairngorm","Drayton","Glensaugh","Moor House","North Wyke","Porton Down","Rothamsted","Snowdon","Sourhope"],"licence":"Non-Open government licence","lineage":"A workshop was held in January 2010 where a common list of ecosystem service variables were agreed by the ECN site managers. The Millennium Ecosystem Assessment (http://www.unep.org/maweb/en/Framework.aspx) was used as a recognised source of definitions and as a framework to identify goods and services for which variables or proxies were required. The 11 selected sites were examined to ensure representativeness of the wider landscape in respect to climate (rainfall and temperature), land cover and land management (through vegetation analysis). The data for these sites have come from several sources. Data collected by the ECN are run through a series of quality assurance checks and a system of quality flags and codes ensures that the data are properly qualified. The other data sources have required the expertise of and knowledge of the sites by the site managers to ensure the representiveness and accuracy of the data.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:32:41.000Z","orcid":["0000-0002-4180-9338","0000-0003-2428-272X"],"organisation":["Centre for Ecology & Hydrology","Rothamsted Research","Forest Research","DSTL","Countryside Council for Wales","ADAS UK Ltd","The James Hutton Institute","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1364978072761","CEH:EIDC::1364978072761","https://catalogue.ceh.ac.uk/id/2c5f823d-0dca-4e66-b021-de3e81131979","10.5285/2c5f823d-0dca-4e66-b021-de3e81131979","doi:10.5285/2c5f823d-0dca-4e66-b021-de3e81131979"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/03wcc3744","https://ror.org/006d11e04","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"73 ecosystem services variables for 11 Environmental Change Network (ECN) sites throughout the UK mainland. The variables cover provisioning (food, fibre, fuel, genetic resources, biochemical and pharmaceuticals, ornamental), regulating (air quality regulation, climate…","state":"published","supplementalDescription":["Dick, J., Andrews, C., Beaumont, D. A., Benham, S., Brooks, D. R., Corbett, S., ... Watson, H. (2011). A comparison of ecosystem services delivered by 11 long-term monitoring sites in the UK environmental change network. Environmetrics, 22(5), 639-648"],"temporalExtentText":"Data collected from 2005 to 2009","title":"Ecosystem services variables from the UK Environmental Change Network (ECN)","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Imperial College London"],"authorFamilyName":["Osborne","Savolainen"],"authorFullName":["Osborne, O.","Savolainen, V."],"authorGivenName":["O.","V."],"authorOrcid":["0000-0002-1213-1169","0000-0001-5350-9984"],"authorRor":["https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1.","documentType":"GEMINI_DOCUMENT","familyName":["Osborne","Savolainen"],"fullName":["Osborne, O.","Savolainen, V."],"funder":["Natural Environment Research Council"],"givenName":["O.","V.","Owen"],"grant":["NE/M015742/1"],"identifier":"eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37","incomingCitationCount":0,"keyword":[" Lord Howe Island","Evolutionary ecology","Howea belmoreana","Howea forsteriana"],"keywordsOther":["Howea belmoreana","Howea forsteriana"],"keywordsPlace":[" Lord Howe Island"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"The dataset describes the results of a long-term common garden experiment. Seeds of Howea belmoreana and Howea forsteriana were planted in 140 boxes (50 seeds per box; 7000 seeds in total) and grown outdoors under shade canopies at the Lord Howe Island Nursery, Lord Howe Island, New South Wales, Australia. Seeds were collected wild from six locations on Lord Howe Island. They were then planted in two native soil types from the island: calcareous and volcanic soil. For half of the replicates for each soil type-species combination, the soil was sterilised with an industrial soil steamer. Boxes were then sealed and left to germinate and establish. After 14 months, survival rate was recorded for each replicate box and plant height and leaf number was recorded for all surviving seedlings. At this point all seedlings were re-potted into individual pots and their order was randomised. After another 16 months, seedling survival, leaf number and height were again recorded. Half of the seedlings for each soil type-species-sterilisation treatment combination were then subjected to drought conditions for two weeks. Final survival rates were recoded two months after this. The data package contains two datasets. The first records the survival rate of each replicate (50 seed box) at each time point. The second records height, number of leaves and survival for each surviving seedling. Full materials and methods are included in the supplementary information.","locations":["POLYGON((159.03 -31.607, 159.03 -31.489, 159.119 -31.489, 159.119 -31.607, 159.03 -31.607))"],"metadataDate":"2026-09-15T08:44:39.000Z","orcid":["0000-0002-1213-1169","0000-0001-5350-9984"],"organisation":["Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-01-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37","10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37","doi:10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37"],"resourceType":"Dataset","ror":["https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving…","state":"published","temporalExtentText":"Data collected from 2015 to 2018","title":"Phenotypic measurements of Howea belmoreana and Howea forsteriana from a common garden experiment on Lord Howe Island","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"This data collection comprises glaciological, hydrological and climatological data associated with the project Peruvian Glacier Retreat and its Impact on Water Security (PeruGROWS). The aim of PeruGROWS is to investigate the impacts of ongoing and projected climate change on glacier retreat and water resources in the Rio Santa catchment (the most glacierised catchment in Peru) and quantify adaptation strategies and alternative scenarios of water uses to enhance the resilience of Peruvian communities and ecosystems. PeruGROWS involves both UK and Peruvian organisations, including: Northumbria University, British Antarctic Survey, University of Leeds, Cranfield University, Heriot Watt University, INAIGEM, SENAMHI and Catholic University of Peru (PUCP) as well as further international partners.","documentType":"GEMINI_DOCUMENT","identifier":"c1dc6b28-8dc9-458d-b98d-76a844d1a8cc","incomingCitationCount":0,"keyword":["Climate and climate change","ecohydrological modelling","tropical glaciers","Peru"],"keywordsOther":["ecohydrological modelling","tropical glaciers","Peru"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","metadataDate":"2024-02-08T17:32:29.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c1dc6b28-8dc9-458d-b98d-76a844d1a8cc"],"resourceType":"Aggregation","shortenedDescription":"This data collection comprises glaciological, hydrological and climatological data associated with the project Peruvian Glacier Retreat and its Impact on Water Security (PeruGROWS). The aim of PeruGROWS is to investigate the impacts of ongoing and projected climate…","state":"published","title":"Peruvian Glacier Retreat and its Impact on Water Security (PeruGROWS)","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Nemitz","Pearson","Tomlinson","Carnell","Hood"],"authorFullName":["Nemitz, E.","Pearson, C.","Tomlinson, S.","Carnell, E.","Hood, C."],"authorGivenName":["Eiko","Clare","Sam","Edward","Christina"],"authorOrcid":["0000-0002-1765-6298","0000-0003-3274-1586","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9244-5696"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Gridded emissions of key air pollutants from domestic burning of solid fuels (wood, coal or manufactured solid fuel (MSF)) in Scotland. These emissions were generated from newly available fuel use and emission factor data, spatially distributed using population, land use and household Energy Performance Certificate (EPC) data. They were used in EMEP4UK modelling of air pollutant concentrations in Scotland caused by domestic solid fuel burning.","documentType":"GEMINI_DOCUMENT","familyName":["Nemitz","Pearson","Tomlinson","Carnell","Hood"],"fullName":["Nemitz, E.","Pearson, C.","Tomlinson, S.","Carnell, E.","Hood, C."],"funder":["Scottish Government"],"givenName":["Eiko","Clare","Sam","Edward","Christina"],"grant":["Strategic Research Programme 2022-2027, project: SRUC-D1-2"],"identifier":"e82af684-6f84-4d2c-9ec7-dfa8c97b880f","incomingCitationCount":0,"keyword":["Pollution","atmospheric emission","Scotland","solid fuel use"],"keywordsOther":["atmospheric emission","Scotland","solid fuel use"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Energy Performance Certificate (EPC) data was processed to extract information on fuel use. Solid fuel used classified as wood, anthracite, manufactured solid fuel or coal.\nEPC data was linked to postcode using One Scotland Gazetteer (OSG) Unique Property Reference Number (UPRN) reference and aligned to centroid of postcode area.\nHousehold data were aggregated by output area then census data zone. Percentages of households using solid fuel for primary and secondary heat sources calculated for each output area. Output areas were also classified as urban or rural using the Scottish 2022 census 8-fold Urban-rural classification, and as smoke control areas if over 50% of output area is within a smoke control area polygon.\nThe population burning within each data zone was assigned according to a gridded population dataset. Emission totals based on total solid fuel use and emission factor data for fuel types and appliance distributions were then distributed using the population data and rural/urban/smoke control area definitions.\nThe fuel use distribution and emissions estimates were compared with previous estimates. The spatial distribution of total solid fuel emissions was visualised in maps of the whole of Scotland and details of areas of interest.","locations":["POLYGON((-11.338 49.611, -11.338 61.101, 2.461 61.101, 2.461 49.611, -11.338 49.611))"],"metadataDate":"2026-07-25T14:51:09.000Z","orcid":["0000-0002-1765-6298","0000-0003-3274-1586","0000-0002-3237-7596","0000-0003-0870-1955","0000-0001-9244-5696"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Scottish Government"],"publicationDate":"2026-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e82af684-6f84-4d2c-9ec7-dfa8c97b880f","10.5285/e82af684-6f84-4d2c-9ec7-dfa8c97b880f","doi:10.5285/e82af684-6f84-4d2c-9ec7-dfa8c97b880f"],"resourceType":"Dataset","rightsHolder":["Scottish Government"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/04v2xmd71"],"shortenedDescription":"Gridded emissions of key air pollutants from domestic burning of solid fuels (wood, coal or manufactured solid fuel (MSF)) in Scotland. These emissions were generated from newly available fuel use and emission factor data, spatially distributed using population, land…","state":"published","supplementalName":["Project report"],"temporalExtentText":"Data collected from 2023 to 2023","title":"Calculated air pollutant emissions from domestic solid fuel burning in Scotland, 2023","topic":["0/Pollution/"],"version":1.0,"view":["public","chrhoo","shar1"]},{"authorAffiliation":["University of Aberdeen","Sun Yat-Sen University","University of Manchester","The James Hutton Institute","University of Salford","University of York","The University of Hong Kong"],"authorFamilyName":["Burslem","Liu","Johnson","Taylor","Helgason","Chen","Liang"],"authorFullName":["Burslem, D.","Liu, X.","Johnson, D.","Taylor, A.","Taylor, J.","Helgason, T.","Chen, Y.","Liang, M."],"authorGivenName":["David","X.","D.","A.","J.","T.","Y.","M."],"authorOrcid":["0000-0001-6033-0990","0000-0002-4705-0975"],"authorRor":["https://ror.org/016476m91","https://ror.org/0064kty71","https://ror.org/027m9bs27","https://ror.org/03rzp5127","https://ror.org/01tmqtf75","https://ror.org/04m01e293","https://ror.org/02zhqgq86"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been amended by addition of various sources of phosphorus (inorganic phosphate, adenosine monophosphate, phytic, or a mixture of all three) plus an unfertilized control treatment with no P additions. The aim of the experiment was to test the hypothesis that seedlings of species that associate with different types of root-inhabiting mycorrhizal fungi would respond differently to the range of P sources applied in the experiment. \n\nThe experiments were conducted as part of a NERC Discovery Science project with the title Explaining niche separation in tropical forests: feedbacks from root-fungal symbioses and soil phosphorus partitioning led by Professor David Burslem (University of Aberdeen) reference NE/M004848/1.","documentType":"GEMINI_DOCUMENT","familyName":["Burslem","Liu","Johnson","Taylor","Helgason","Chen","Liang"],"fullName":["Burslem, D.","Liu, X.","Johnson, D.","Taylor, A.","Taylor, J.","Helgason, T.","Chen, Y.","Liang, M."],"funder":["Natural Environment Research Council"],"givenName":["David","X.","D.","A.","J.","T.","Y.","M."],"grant":["NE/M004864/1"],"identifier":"3ad644c9-e341-4a15-ab35-311076defc33","incomingCitationCount":1,"keyword":["Environmental risk","Soil","phosphorus","tree biomass","mycorrhiza"],"keywordsOther":["phosphorus","tree biomass","mycorrhiza"],"keywordsTheme":["Environmental risk","Soil"],"licence":"Open government licence","lineage":"The experiments were conducted by Xubing Liu with input from all authors. Data quality checks were conducted by all authors. The data-set provides raw data on growth metrics for each seedling, plus identifying codes for the two sites where the experiment was conducted, reflecting the tropical and subtropical origin of the seedlings, as well as experimental block, P treatment, botanical names for the tree species, and mycorrhizal type. Full details of materials and methods are provided in the paper reporting the results of the study (doi: 10.1111/ele.12939).","locations":["POLYGON((111.53 5, 111.53 23.27, 117.57 23.27, 117.57 5, 111.53 5))"],"metadataDate":"2026-07-24T20:39:45.000Z","orcid":["0000-0001-6033-0990","0000-0002-4705-0975"],"organisation":["University of Aberdeen","Sun Yat-Sen University","University of Manchester","The James Hutton Institute","University of Salford","University of York","The University of Hong Kong","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ad644c9-e341-4a15-ab35-311076defc33","10.5285/3ad644c9-e341-4a15-ab35-311076defc33","doi:10.5285/3ad644c9-e341-4a15-ab35-311076defc33"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/0064kty71","https://ror.org/027m9bs27","https://ror.org/03rzp5127","https://ror.org/01tmqtf75","https://ror.org/04m01e293","https://ror.org/02zhqgq86","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset reports metrics of plant growth, including height, total biomass and the biomass of component plant parts, and percentage root colonisation by mycorrhizas, for tree seedlings of eight tropical and seven subtropical growing in pots of soil that had been…","state":"published","temporalExtentText":"Data collected from 2014 to 2016","title":"Growth, biomass allocation and tissue nutrient concentrations of subtropical and tropical tree seedlings in response to experimental manipulation of soil phosphorus pools","topic":["0/Environmental risk/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"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":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes. The product consists of five bands:  \n Band 1 – a raster version of LCM1990 in the six simplified classes;\n Band 2 – a raster version of LCM2015 in the six simplified classes;\n Band 3 – a binary layer, where 0 means no change between 1990 and 2015 and 1 means change between 1990 and 2015;\n Band 4 – shows the 'change from' class;\n Band 5 – provides the 'change to' class. \n\nFull details of the Land Cover Change data set are provided in the Land Cover Change data set documentation, which users should consult.\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.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"07b6e5e9-b766-48e5-a28c-5b3e35abecc0","incomingCitationCount":7,"keyword":["Great Britain","Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"Bands 1 and 2 are derived from the 25m raster versions of the Land Cover Maps for 1990 and 2015 respectively. The LCM data for 1990 and 2015 was cast from the original 21 classes into 6 simplified classes (see dataset documentation for details). \n\nBand 3 (the binary change/no-change layer) maps differences between the simplified classes in 1990 and 2015. Band 3 and Band 1 are then used to create Band 4, the ‘change from' layer, which gives the 1990 class for change. Band 5, the ‘change to' layer,  is calculated from Bands 3 and 2 and provides the 2015 ‘change to' class.\n\nFor further details about LCM1990 and LCM2015 are given in the dataset documents for those products.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:56:50.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07b6e5e9-b766-48e5-a28c-5b3e35abecc0","10.5285/07b6e5e9-b766-48e5-a28c-5b3e35abecc0","doi:10.5285/07b6e5e9-b766-48e5-a28c-5b3e35abecc0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes.…","state":"published","temporalExtentText":"Data collected from 1990 to 2015","title":"Land Cover Change 1990-2015 (25m raster, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Atkins Ltd"],"authorFamilyName":["Daldorph"],"authorFullName":["Daldorph, P."],"authorGivenName":["P."],"authorRor":["https://ror.org/00qcr4910"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate loads are expressed as kilograms per day (kg/day) and the in-river concentrations as milligrams per litre (mg/l). Sources are both diffuse and point. Diffuse sources include livestock farming, arable farming, highways, urban runoff, background (from soils), onsite wastewater treatment systems and atmospheric deposition. Point sources include treated wastewater effluent, combined sewer overflows and storm tanks, industrial discharges and mine water discharges. Concentrations and loads are modelled using the Environment Agency's catchment river model, SIMCAT, at the locations of model features or every 1 km along each river, taking into account all upstream sources and user defined river losses. \n\nSAGIS is a modelling framework was developed through the UK Water Industry Research Programme (UKWIR) project 'Chemical Source Apportionment under the WFD' [1], with support from the Environment Agency and SEPA. The model is also described in [2]\n\n[1] UKWIR (2012) Chemical Source Apportionment under the WFD (12/WW/02/3). Final report for UK Water Industry Research, 1 Queen Annes Gate, London, ISBN: 1 84057 637 5.\n[2] Comber, S.D.; Smith, R.; Daldorph, P.; Gardner, M.J.; Constantino, C.; Ellor, B. (2013) Development of a Chemical Source Apportionment Decision Support Framework for Catchment Management. Environ. Sci. Technol. 47, 9824-9832","documentType":"GEMINI_DOCUMENT","familyName":["Daldorph"],"fullName":["UKWIR","Daldorph, P."],"givenName":["P.","Peter"],"identifier":"8c5d9e38-0244-4a39-8600-a85513a6fecf","incomingCitationCount":1,"keyword":["Pollution","nutrient","river","SAGIS","SIMCAT","arable farming","livestock farming","highway","waste water","pollutant deposition","industrial effluent","runoff","agricultural effluent"],"keywordsOther":["nutrient","river","SAGIS","SIMCAT","arable farming","livestock farming","highway","waste water","pollutant deposition","industrial effluent","runoff","agricultural effluent"],"keywordsTheme":["Pollution"],"licence":"Non-Open government licence","lineage":"This dataset has been modelled with The Source Apportionment-GIS (SAGIS) using data from the period spanning from 2006 to 2009. Input datasets include: river network outline, water body boundary, hydrology and river monitoring data, rainfall, land use and agricultural data, on-site wastewater treatment system, sewage treatment works, combined sewer overflows and storm tank locations, soil erosion, highway runoff and pollution inventory industrial discharges to river and sewer including extensive sewage treatment works data. \n\nLoads are converted to concentrations in river waters using the SIMulation of CATchments (SIMCAT) water quality model, which is incorporated within SAGIS, so that the contribution to in-stream concentrations from individual sources can be quantified. Diffuse sources of nutrient pollution are incorporated into SAGIS from the Phosphorus and Sediment Yield Characterisation In Catchments (PSYCHIC) model (developed by a consortium of academic and government organisations led by ADAS Water Quality). \n\nSAGIS models are not time based and do not show seasonal variation; river flow can vary according to seasonal changes which would have an impact on results. The model will also always be a simplified version of reality and so must be used as an advisory tool and not as the sole basis of decisions. Data is often subject to change and so the models require regular updates. Livestock and arable inputs have been calculated from the ADAS models PSYCHIC and NEAPN and have been shown to overestimate inputs in some areas. There is also a related issue, of changing crop types and land use.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:41:45.000Z","organisation":["UK Water Industry Research","Atkins Ltd","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8c5d9e38-0244-4a39-8600-a85513a6fecf","10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf","doi:10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf"],"resourceType":"Dataset","rightsHolder":["UK Water Industry Research"],"ror":["https://ror.org/00ajykz30","https://ror.org/00qcr4910","https://ror.org/04xw4m193"],"shortenedDescription":"Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate…","state":"published","temporalExtentText":"Data collected from 2006 to 2009","title":"Source apportionment of nutrient contributions to rivers in England and Wales modelled with SAGIS","topic":["0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Cambridge","University of Aberdeen"],"authorFamilyName":["Jackson","Coomes","Burslem"],"authorFullName":["Jackson, T.","Coomes, D.","Burslem, D."],"authorGivenName":["T.","D."],"authorOrcid":["0000-0001-8143-6161"],"authorRor":["https://ror.org/013meh722","https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data represents a survey of all the large trees in permanent forest plots in Danum Valley and Sepilok Reserve, Sabah, Malaysia to determine whether they were dead or alive in 2019. The data consist of individual tree ids, which can be linked back to the plot inventory data, status and some details about the mode of death.\n\nAdditional data for Danum Valley is available through the ForestGEO portal.\n\nAdditional data for Sepilok reserve is available through forestplots website. ","documentType":"GEMINI_DOCUMENT","familyName":["Jackson","Coomes","Burslem"],"fullName":["Jackson, T.","Coomes, D.","Burslem, D."],"funder":["Natural Environment Research Council"],"givenName":["T.","D."],"grant":["NE/S010750/1"],"identifier":"cfbf27e7-44ce-404c-ab0a-0b079b18fd4f","incomingCitationCount":0,"keyword":["Borneo","Malaysia","Danum","Sabah","Sepilok","Biodiversity","Tree mortality","mode of death","tree","ecology"],"keywordsOther":["Tree mortality","mode of death","tree","ecology"],"keywordsPlace":["Borneo","Malaysia","Danum","Sabah","Sepilok"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Data was collected by re-visiting all the large trees (>30 cm stem diameter in the most recent inventory) in the permanent field plots to check whether they are alive or dead. If the tree was dead, the mode of death was recorded (mostly standing dead or uprooted / snapped). If the tree had uprooted or snapped, the direction of fall and the size (magnitude estimate) of the gap in the forest canopy was recorded.","locations":["POLYGON((116.386 5.305, 116.386 6.474, 117.886 6.474, 117.886 5.305, 116.386 5.305))"],"metadataDate":"2026-09-15T08:43:59.000Z","orcid":["0000-0001-8143-6161"],"organisation":["University of Cambridge","University of Aberdeen","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-06-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f","10.5285/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f","doi:10.5285/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/013meh722","https://ror.org/016476m91","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This data represents a survey of all the large trees in permanent forest plots in Danum Valley and Sepilok Reserve, Sabah, Malaysia to determine whether they were dead or alive in 2019. The data consist of individual tree ids, which can be linked back to the plot inventory…","state":"published","supplementalName":["ForestGEO portal","Forestplots"],"temporalExtentText":"Data collected from 2019 to 2019","title":"Mortality surveys of large trees in Danum Valley and Sepilok Reserve, Sabah, Malaysia, 2019","topic":["0/Biodiversity/"],"version":1.0,"view":["public","margla"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}