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","D.T. "],"authorOrcid":["0000-0003-3008-2513","0000-0003-3276-047X","0000-0002-1755-083X","0000-0003-0233-7064"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise the physiology-based measurements made on the cyanobacteria Synechocystis sp. and Synechococcus sp., the pennate diatom Phaeodactylum tricornutum, and the coccolithophore Emiliana huxleyi. A variety of experimental manipulations were carried out in order to investigate the mechanisms underlying thermally-induced physiological responses and various physiological traits were characterised.","documentType":"GEMINI_DOCUMENT","familyName":["Baker","Geider","Davey","Siegel","Radford"],"fullName":["Baker, K.G.","Geider, R.J.","Davey, P.A.","Siegel, P.","Radford, D.T.","Baker, K."],"funder":["Natural Environment Research Council"],"givenName":["K.G.","R.J.","P.A.","P. ","D.T. ","Kirralee"],"grant":["NE/P002374/1"],"identifier":"b02524b3-e755-41f7-9bc6-ba389b16db47","incomingCitationCount":0,"keyword":["Phaeodactylum tricornutum","Synechococcus sp.","Synechocystis sp.","cyanobacteria","thermal stress","experimental manipulation","elemental composition","biochemical composition","diatom","heat stress","photosynthesis","physiology","phytoplankton"],"keywordsOther":["Phaeodactylum tricornutum","Synechococcus sp.","Synechocystis sp.","cyanobacteria","thermal stress","experimental manipulation","elemental composition","biochemical composition","diatom","heat stress","photosynthesis","physiology","phytoplankton"],"licence":"Open government licence","lineage":"The data were generated in the laboratories at the School of Life Science (Colchester Campus), University of Essex, U.K. A visual inspection of the data was carried out on all analyses to ensure (i) values were within instrument ranges, (ii) mistakes have not been made in units, dilutions, calculations or dates, and (iii) transcription errors are corrected.","metadataDate":"2026-07-25T12:53:02.000Z","orcid":["0000-0003-3008-2513","0000-0003-3276-047X","0000-0002-1755-083X","0000-0003-0233-7064"],"organisation":["University of Essex","Independent Researcher","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b02524b3-e755-41f7-9bc6-ba389b16db47","10.5285/b02524b3-e755-41f7-9bc6-ba389b16db47","doi:10.5285/b02524b3-e755-41f7-9bc6-ba389b16db47"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Essex"],"ror":["https://ror.org/02nkf1q06","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise the physiology-based measurements made on the cyanobacteria Synechocystis sp. and Synechococcus sp., the pennate diatom Phaeodactylum tricornutum, and the coccolithophore Emiliana huxleyi. A variety of experimental manipulations were carried out…","state":"published","temporalExtentText":"Data collected from 2017 to 2021","title":"Physiological responses of marine phytoplankton to acute and chronic thermal stress","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Brooks","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.","Emmett, B.A."],"authorGivenName":["S.","M.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset combines average daily temperature and soil moisture data from nine experimental plots at the climate change field site Climoor located in Clocaenog forest, NE Wales. Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3).\n\nThe experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8).\n\nData is an extension of the micromet datasets covering 1998-2015 and 2015-2016; adding the time period September 2016 to December 2021. Soil temperatures were measured with T107 sensors, and soil moisture was measured with CS616 sensors, both from Campbell scientific. Temperature and moisture data were recorded in minute intervals, and automatically averaged as half-hourly by the data logger. Half-hourly data were automatically transferred to CEH/UKCEH servers using remote telemetry. Data which were not recorded are marked with “NA”, faulty data were replaced with “-9999”.\n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.\n","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Brooks","Emmett"],"fullName":["Reinsch, S.","Brooks, M.","Emmett, B.A."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.","B.A."],"grant":["NE/R016429/1"],"identifier":"5d90d356-5b2c-4ce0-927a-e26efacff015","incomingCitationCount":0,"keyword":["Climate and climate change","plot level data","UK","Wales","climate change","heathland","meteorology"],"keywordsOther":["plot level data","UK","Wales","climate change","heathland","meteorology"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals, automatically averaged to half-hourly by the data-logger and stored as such. The half-hourly data was transferred from loggers at the field site onto UKCEH servers via a remote telemetry system. Each morning, the previous days data was transferred.\n\nThis dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Soil and air temperatures were measured with a T107 sensor, and soil moisture was measured with CS616 sensors, both from Campbell scientific. \n\nAn automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data into daily averages. Data was then cut and pasted into raw data files. Data here is collated raw data and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”.\n\nData was transferred from the raw data files into comma separated value files for transfer into the Environmental Information Data Centre.\nData were collected from the climate change field site Climoor which is located in Clocaenog forest, NE Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours, and three plots where rainfall is excluded from the plots at least during the plants growing season. \n","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-24T23:10:10.000Z","orcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d90d356-5b2c-4ce0-927a-e26efacff015","10.5285/5d90d356-5b2c-4ce0-927a-e26efacff015","doi:10.5285/5d90d356-5b2c-4ce0-927a-e26efacff015"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset combines average daily temperature and soil moisture data from nine experimental plots at the climate change field site Climoor located in Clocaenog forest, NE Wales. Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil…","state":"published","temporalExtentText":"Data collected from 2016 to 2021","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2016-2021","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings of the 21 target classes, based on the Joint Nature Conservation Committee (JNCC) Broad Habitats and which encompass the entire range of UK habitats. The aggregate classes group some of the more specialised classes into more general categories. For example, the five coastal classes in the target class are grouped into a single aggregate coastal class. ","documentType":"GEMINI_DOCUMENT","familyName":["Rowland"],"fullName":["Rowland, C."],"givenName":["C."],"identifier":"05e01504-0505-4846-92e3-991b8c95ad20","incomingCitationCount":0,"keyword":["Land cover","Great Britain","infoMapAccessService"],"keywordsOther":["Great Britain","infoMapAccessService"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-08-12T12:00:59.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-25T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/05e01504-0505-4846-92e3-991b8c95ad20"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) is the 1km percentage aggregate class version of the Land Cover Map 2015 (LCM2015) for Great Britain.  It shows the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. The 10 aggregate classes are broad groupings…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Land Cover Map 2015 (1km percentage aggregate class, GB) Web Map Service","topic":["0/Land cover/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Moody"],"authorFullName":["Moody, C.S."],"authorGivenName":["C.S."],"authorOrcid":["0000-0002-0371-7416"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contains site characteristics (water body type, elevation, catchment area) and water chemistry data (pH, dissolved and particulate organic carbon concentrations (DOC and POC)). The composition of DOM extracted by different methods was analysed by elemental analysis; there are data for carbon, hydrogen and nitrogen content. \nThe dataset result from an experiment to determine the reliability of various methods to extract dissolved organic matter (DOM) from freshwaters in the UK. \n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Moody"],"fullName":["Moody, C.S.","Moody, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","Cat"],"grant":["NE/R013365/1"],"identifier":"3c77e7bf-78a0-433c-b260-b630e9a36cc0","incomingCitationCount":0,"keyword":["Freshwater","DOM","Water Chemistry","Extraction"],"keywordsOther":["Freshwater","DOM","Water Chemistry","Extraction"],"licence":"Open government licence","lineage":"Water samples were collected from sites across the UK and analysed in 2018 and 2019. Laboratory analysis took place as soon as possible after collection. Data were quality checked and analysed in 2019 and 2020. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:40:31.000Z","orcid":["0000-0002-0371-7416"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3c77e7bf-78a0-433c-b260-b630e9a36cc0","10.5285/3c77e7bf-78a0-433c-b260-b630e9a36cc0","doi:10.5285/3c77e7bf-78a0-433c-b260-b630e9a36cc0"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193","https://ror.org/024mrxd33"],"shortenedDescription":"The data contains site characteristics (water body type, elevation, catchment area) and water chemistry data (pH, dissolved and particulate organic carbon concentrations (DOC and POC)). The composition of DOM extracted by different methods was analysed by elemental…","state":"published","supplementalDescription":["Moody, C.S. (2020), A comparison of methods for the extraction of dissolved organic matter from freshwaters. Water Research, 184, 116114"],"temporalExtentText":"Data collected from 2018 to 2019","title":"Water chemistry data and elemental content of dissolved organic matter extracted from freshwaters in the UK, 2018-19","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Andrews","Newell","Harris","Wanless","Daunt"],"authorFullName":["Andrews, C.","Newell, M.A.","Harris, M.P.","Wanless, S.","Daunt, F."],"authorGivenName":["C.","M.A.","M.P.","S.","F."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains prey items of common guillemot Uria aalge and razorbill Alca torda observed during the 2018 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the east coast of Scotland.  Diet of these two species has been studied on the Isle of May since the 1980s (Harris & Wanless 1985, 1986; Wilson et al 2004; Daunt et al. 2008; Thaxter et al 2013).  To our knowledge, only two previous studies of diet has been undertaken at Buchan Ness to Collieston Coast SPA (in 2006, 6km to the north of the site used in this study; Anderson et al. 2014; and in 2017, using a similar protocol as in 2018; Daunt et al. 2017), and one previous study of diet has been undertaken at East Caithness SPA (2017; Daunt et al. 2017).","documentType":"GEMINI_DOCUMENT","familyName":["Andrews","Newell","Harris","Wanless","Daunt"],"fullName":["Andrews, C.","Newell, M.A.","Harris, M.P.","Wanless, S.","Daunt, F."],"givenName":["C.","M.A.","M.P.","S.","F.","Francis"],"identifier":"d7164910-17cb-44cd-bccd-6a9c31b6ed70","incomingCitationCount":0,"keyword":["Scotland","Isle of May","Biodiversity","Seabirds","Auks"],"keywordsOther":["Seabirds","Auks"],"keywordsPlace":["Scotland","Isle of May"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Seabird studies on the Isle of May NNR were begun by Mike Harris (CEH) in 1973 as part of the Isle of May Long-Term Study (IMLOTS), which is a Key Site in the UK Joint Nature Conservation Committee’s (JNCC) national Seabird Monitoring Programme.  The methods for calculating diet are included in the Species Account in this document and have been consistent since all seabird monitoring was standardised from 1987.  The protocols are employed in the assessment of the diet of common guillemot and razorbill.\n\nThe basic approach to assessing common guillemot and razorbill diet is observing prey carried in the bills of breeding adults returning to the colony to feed the young or, in the case of common guillemot only, to display to other adults.  All fieldwork, sampling and data handling was carried out by experienced and trained staff to defined protocols agreed to meet the objectives of the work. All data were collected in the field in notebooks and field data sheets.  These were transcribed to spreadsheets after each check was made and files backed up on CEH servers. All notebooks and field sheets are archived at CEH Edinburgh. The databases used were all quality controlled at source.\n\nThe integrity of results, the quality of reports, the relationship to contracted deliverables and the punctuality of reporting are all subject to management vetting and tracking within CEH.","locations":["POLYGON((-4.166 55.984, -4.166 58.717, -1.475 58.717, -1.475 55.984, -4.166 55.984))"],"metadataDate":"2026-09-15T08:38:07.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7164910-17cb-44cd-bccd-6a9c31b6ed70","10.5285/d7164910-17cb-44cd-bccd-6a9c31b6ed70","doi:10.5285/d7164910-17cb-44cd-bccd-6a9c31b6ed70"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains prey items of common guillemot Uria aalge and razorbill Alca torda observed during the 2018 breeding season at East Caithness Special Protection Area (SPA), Buchan Ness to Collieston Coast SPA and Isle of May National Nature Reserve, off the east…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Diet of common guillemot and razorbill at East Caithness, Buchan Ness to Collieston Coast and Isle of May in 2018","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rbrou"]},{"authorAffiliation":["Swansea University","US Forest Service"],"authorFamilyName":["Laino","Cabo","Parsons","Hudak","Doerr","Santin"],"authorFullName":["Laino, D.","Cabo, C.","Parsons, R.A.","Hudak, A.T.","Doerr, S.","Santin, C."],"authorGivenName":["D.","C.","R.A.","A.T.","S"],"authorOrcid":["0000-0002-7106-0559","0000-0002-0387-9052","0000-0001-5091-8993","0000-0001-7480-1458","0000-0002-8700-9002","0000-0001-9901-2658"],"authorRor":["https://ror.org/053fq8t95","https://ror.org/03zmjc935"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","OUT","PRT5","S3D","SF","BND","GBND","Q","SMV","SZ","TXT"],"description":"This dataset contains outputs of wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes three simulations, each representing different simulation parameters. The forest plot used for the simulations consists of a 40 x 40 m Pinus ponderosa plot scanned with a Riegl-VZ400i in Sycan Marsh, Oregon, USA, during the summer of 2019. The inputs of the simulations are available at Cabo et al., 2025 https://doi.org/10.5285/467a735f-b03c-4c30-8781-82f0e11aec28 . These simulations serve as an example on how ground-based LiDAR data can be used to run 3D-spatially explicit wildfire simulations.\n\nThe dataset includes CSV files containing the numeric results of the simulations; OUT, TXT, and INI files containing the specifications of the simulation (software version, date, number of threads, simulation domain, units, etc.); and FDS-specific output files which contain data related to the simulation paramaters : .PRT5 (Part 5 / Particle Files), .S3D(3D Smoke Files), .SF (Slice Files), .BND (Boundary Files), .GBND (Gas/Global Boundary Files), .Q (Plot3D Files), .smv (Smokeview Files), and .SZ (Smokeview Sizing Files).","documentType":"GEMINI_DOCUMENT","familyName":["Laino","Cabo","Parsons","Hudak","Doerr","Santin"],"fullName":["Laino, D.","Cabo, C.","Parsons, R.A.","Hudak, A.T.","Doerr, S.","Santin, C.","Diego Laino"],"funder":["Natural Environment Research Council"],"givenName":["D.","C.","R.A.","A.T.","S"],"grant":["NE/T001194/1"],"identifier":"f9180989-6528-404e-8110-e3dcc205a6a1","incomingCitationCount":0,"keyword":["Environmental risk","Modelling","Climate and climate change","wildfire","forestry","computational fluid dynamics models","FDS","LiDAR"],"keywordsOther":["wildfire","forestry","computational fluid dynamics models","FDS","LiDAR"],"keywordsTheme":["Environmental risk","Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"One 40x40 m2 plot point cloud was manually labelled into the different fuel layers present in the scene, Each point was labelled into either \"ground\", \"understorey\", \"stem\" or \"canopy\". Each layer was then voxelized at 20 cm for simulations 1 and 2 and 10 cm for simulation 3, and each voxel was assigned a layer-specific averaged bulk density value. Then the voxels were converted into Fire Dynamics Simulator (FDS) BDF input files.\n\nFire Dynamics Simulator (FDS) 6.9.1 was used to run three wildfire simulations. Simulations 1 and 2 were run using 9 MPI processes and took approximately 25 min, whereas simulation 3 was run using 16 and took approximately 68.16 h.\n\nThe simulations were run in April-May 2024 on an MSI laptop equipped with a 13th-generation Intel Core i9-13980HX processor (2.20 GHz) and an NVIDIA RTX 3500 Ada Generation Laptop GPU (12 GB VRAM).","locations":["POLYGON((-121.169 42.84, -121.169 42.857, -121.153 42.857, -121.153 42.84, -121.169 42.84))"],"metadataDate":"2026-08-04T10:56:54.000Z","orcid":["0000-0002-7106-0559","0000-0002-0387-9052","0000-0001-5091-8993","0000-0001-7480-1458","0000-0002-8700-9002","0000-0001-9901-2658"],"organisation":["Swansea University","US Forest Service","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f9180989-6528-404e-8110-e3dcc205a6a1","10.5285/f9180989-6528-404e-8110-e3dcc205a6a1","doi:10.5285/f9180989-6528-404e-8110-e3dcc205a6a1"],"resourceType":"Dataset","rightsHolder":["Swansea University"],"ror":["https://ror.org/053fq8t95","https://ror.org/03zmjc935","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains outputs of wildfire simulations in Fire Dynamics Simulator (FDS) in forest environments. It includes three simulations, each representing different simulation parameters. The forest plot used for the simulations consists of a 40 x 40 m Pinus ponderosa…","state":"published","supplementalDescription":["These files can be viewed on the free software Smokeview, a specialized visualization and analysis tool for FDS output."],"temporalExtentText":"Data collected from 2019 to 2019","title":"Wildfire simulation outputs from Fire Dynamics Simulator (FDS) using real-world fuel data from forest plots, Oregon, USA, 2019","topic":["0/Environmental risk/","0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Derby","Concordia University of Edmonton"],"authorFamilyName":["Pocock","Hamlin","Christelow","Passmore","Richardson"],"authorFullName":["Pocock, M.J.O.","Hamlin, I.","Christelow, J.","Passmore, H.-.","Richardson, M."],"authorGivenName":["M.J.O.","I.","J.","H.-A.","M."],"authorOrcid":["0000-0003-4375-0445","0000-0003-3925-0907","0000-0002-2448-2206","0000-0002-7223-7053"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02yhrrk59","https://ror.org/04013rx15"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Surveys of wellbeing, nature connectedness and pro-nature conservation behaviour scores from adult human participants before and after taking part in nature-based activities, including citizen science, in 2020 are presented. Participants were recruited via a public campaign and were randomly allocated into groups: citizen science, noticing nature (three good things in nature activity), combined citizen science and three good things in nature, and a wait list control. They were invited to take part in activities up to five times in the following eight days. Online surveys of wellbeing and nature connectedness were undertaken at people’s sign up to the project and after the eight days of activities. Demographic characteristics and people’s engagement with the project and responses to the pathways to nature connectedness were recorded after the eight days of activities.\n\nThe research was carried out to investigate concern about the negative impacts of COVID-19 movement restrictions and social distancing on people's wellbeing and mental health.\n\nResearch was funded through NERC grant NE/V009656/1 - COVID 19 - Does nature-based citizen science enhance well-being and mitigate negative effects of social isolation?","documentType":"GEMINI_DOCUMENT","familyName":["Pocock","Hamlin","Christelow","Passmore","Richardson"],"fullName":["Pocock, M.J.O.","Hamlin, I.","Christelow, J.","Passmore, H.-.","Richardson, M."],"funder":["Natural Environment Research Council"],"givenName":["M.J.O.","I.","J.","H.-A.","M."],"grant":["NE/V009656/1 "],"identifier":"56d4b055-c66b-42b9-8962-a47dfcf3b8b0","incomingCitationCount":0,"keyword":["Nature connectedness","wellbeing","mental health","volunteer","behaviour","citizen science","human health"],"keywordsOther":["Nature connectedness","wellbeing","mental health","volunteer","behaviour","citizen science","human health"],"licence":"Open government licence","lineage":"Data for each survey were collected via an online survey tool (Qualtrics). Data from each survey were linked via anonymised codes unique to each person. Answers to open questions were subject to thematic analysis (identifying themes and coding responses), and were reviewed prior to publication, with personally identifiable redacted to ensure anonymity. UK location data was presented as postcode districts, e.g. “OX10”.\n\nData were transposed into an Excel spreadsheet and exported as a .csv file for deposit into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:05:57.000Z","orcid":["0000-0003-4375-0445","0000-0003-3925-0907","0000-0002-2448-2206","0000-0002-7223-7053"],"organisation":["UK Centre for Ecology & Hydrology","University of Derby","Concordia University of Edmonton","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/56d4b055-c66b-42b9-8962-a47dfcf3b8b0","10.5285/56d4b055-c66b-42b9-8962-a47dfcf3b8b0","doi:10.5285/56d4b055-c66b-42b9-8962-a47dfcf3b8b0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02yhrrk59","https://ror.org/04013rx15","https://ror.org/04xw4m193"],"shortenedDescription":"Surveys of wellbeing, nature connectedness and pro-nature conservation behaviour scores from adult human participants before and after taking part in nature-based activities, including citizen science, in 2020 are presented. Participants were recruited via a public…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Survey data on wellbeing and nature connectedness before and after taking part in nature-based activities in 2020, UK","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Plymouth Marine Laboratory","ICF International Inc","Natural England"],"authorFamilyName":["Edwards-Jones","Hattam","Hooper","Beaumont"],"authorFullName":["Edwards-Jones, A.","Hattam, C.","Hooper, T.","Beaumont, N."],"authorGivenName":["A.","C.","T.","N."],"authorOrcid":["0000-0001-5691-8687","0000-0002-5976-9661"],"authorRor":["https://ror.org/05av9mn02","https://ror.org/05r1dd276","https://ror.org/00r66pz14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Results of a survey undertaken in 2018 involving a range of open and closed questions intended to elicit local residents’ values they attach to the importance of coastal attributes and their perceptions of various tidal and wave energy development characteristics. Three case study sites were selected: Weston-super-Mare, Minehead, and the Taw-Torridge Estuary, South-West UK.","documentType":"GEMINI_DOCUMENT","familyName":["Edwards-Jones","Hattam","Hooper","Beaumont"],"fullName":["Edwards-Jones, A.","Hattam, C.","Hooper, T.","Beaumont, N."],"funder":["Natural Environment Research Council"],"givenName":["A.","C.","T.","N."],"grant":["NE/M019713/1"],"identifier":"e5190fd0-2995-42aa-aca0-80714abde768","incomingCitationCount":0,"keyword":["Marine energy","environmental impact","community mapping","Bristol Channel","UK"],"keywordsOther":["Marine energy","environmental impact","community mapping","Bristol Channel","UK"],"licence":"Open government licence","lineage":"The survey was undertaken by a survey company commissioned by Plymouth Marine Laboratory (PML). The company obtained data through door-to-door surveys, inputting responses straight into custom-designed survey templates on a hand-held tablet platform. Data were subsequently collated in a password-protected excel spreadsheet and forwarded to the PML research team liaison point.","locations":["POLYGON((-5.101 50.427, -5.101 51.671, -2.407 51.671, -2.407 50.427, -5.101 50.427))"],"metadataDate":"2026-07-25T14:49:30.000Z","orcid":["0000-0001-5691-8687","0000-0002-5976-9661"],"organisation":["Plymouth Marine Laboratory","ICF International Inc","Natural England","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e5190fd0-2995-42aa-aca0-80714abde768","10.5285/e5190fd0-2995-42aa-aca0-80714abde768","doi:10.5285/e5190fd0-2995-42aa-aca0-80714abde768"],"resourceType":"Dataset","rightsHolder":["Plymouth Marine Laboratory"],"ror":["https://ror.org/05av9mn02","https://ror.org/05r1dd276","https://ror.org/00r66pz14","https://ror.org/04xw4m193"],"shortenedDescription":"Results of a survey undertaken in 2018 involving a range of open and closed questions intended to elicit local residents’ values they attach to the importance of coastal attributes and their perceptions of various tidal and wave energy development characteristics. Three…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Public perceptions of tidal energy - survey data collected in 2018 from residents living in Weston-super-Mare, Minehead and the Taw-Torridge estuary, SW England","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morrison","Cooper","Rowe","Evans","McNamara"],"authorFullName":["Morrison, R.","Cooper, H.M.","Rowe, R.L.","Evans, J.G.","McNamara, N.P."],"authorGivenName":["R.","H.M.","R.L.","J.G.","N.P."],"authorOrcid":["0000-0002-1847-3127","0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent flux densities were monitored using the micrometeorological eddy covariance (EC) technique between 9 January 2014 and 26 November 2017. The dataset includes ancillary weather and soil physics observations, as well as variables describing atmospheric turbulence and the quality of the turbulent flux observations. \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":["Morrison","Cooper","Rowe","Evans","McNamara"],"fullName":["Morrison, R.","Cooper, H.M.","Rowe, R.L.","Evans, J.G.","McNamara, N.P."],"funder":["Natural Environment Research Council"],"givenName":["R.","H.M.","R.L.","J.G.","N.P."],"grant":["NE/R016429/1"],"identifier":"bf0d7332-4cfe-4277-bd99-3caf35332a7b","incomingCitationCount":1,"keyword":["Lincolnshire","Climate and climate change","Salix viminalis"],"keywordsOther":["Salix viminalis"],"keywordsPlace":["Lincolnshire"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Eddy covariance (EC) and micrometeorological observations were made above the willow canopy using an open-path eddy covariance system.  Ancillary meteorological and soil physics observations were made from a scaffold tower at the northern end of the plantation.  \n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1. \n\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly.  Data gaps in EC data (NEE, LE, H) were filled using the Marginal Distribution Sampling approach.  Gaps in key meteorological variables (SWin, LWin, Ta, RH) were filled using linear relationships derived from weather stations located in adjacent fields. \n\nFurther details are available in the supporting documentation.","locations":["POLYGON((-0.619 53.294, -0.619 53.345, -0.523 53.345, -0.523 53.294, -0.619 53.294))"],"metadataDate":"2026-09-15T08:43:23.000Z","orcid":["0000-0002-1847-3127","0000-0002-5143-5819"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf0d7332-4cfe-4277-bd99-3caf35332a7b","10.5285/bf0d7332-4cfe-4277-bd99-3caf35332a7b","doi:10.5285/bf0d7332-4cfe-4277-bd99-3caf35332a7b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at a short rotation coppice willow plantation in Lincolnshire, UK. Turbulent…","state":"published","supplementalDescription":["Drewer, J. et al., 2012. How do soil emissions of N2O, CH4 and CO2 from perennial bioenergy crops differ from arable annual crops? GCB Bioenergy, 4(4), pp.408–419."],"temporalExtentText":"Data collected from 2014 to 2017","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a short rotation coppice plantation, Lincolnshire, UK, 2014-2017","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","marharv"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","University of Salford"],"authorFamilyName":["Barnett","Gashchak","Maksimenko","Chaplow","Wood","Beresford"],"authorFullName":["Barnett, C.L.","Gashchak, S.","Maksimenko, A.","Chaplow, J.S.","Wood, M.D.","Beresford, N.A."],"authorGivenName":["C.L.","S.","A. ","J.S.","M.D. ","N.A."],"authorOrcid":["0000-0001-9723-7247","0000-0002-8058-8697","0000-0002-0635-2387","0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/052dx1v90","https://ror.org/01tmqtf75"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to grassy vegetation, deciduous trees and bacteria; no dose rate estimates for grassy vegetation have been made for those sites where grassy vegetation was absent.\n\nRadiation from the 1986 Chernobyl nuclear power plant accident killed coniferous trees in a 4-6 km2 area of forest to the west of the power plant. This area is now known as the 'Red Forest’ and it has subsequently regenerated with understorey vegetation and deciduous trees; it is the most anthropogenically contaminated radioactive ecosystem on Earth. In July 2016 a severe fire burnt (to varying degrees) c. 80 percent of the Red Forest; this presented a unique opportunity to study the impact of radiation on the recovery of forest ecosystems exposed to a secondary stressor (fire). To investigate this, in September 2017 the RED FIRE project set up sixty study plots in the Red Forest (in burnt and unburnt areas) with a further nine plots established close to Buriakivka village (approximately 8 km from the Red Forest).\n\nVegetation samples from each plot were harvested using shears in September 2017. Each sample was sorted into ‘grassy’ and ‘other’ vegetation; these were air-dried (20-25 degrees Celsius) and the grassy vegetation samples homogenised prior to radionuclide analyses.\n\nSoil core samples collected in September 2017 were bulked, homogenised and sub-samples taken for determination of pH and percentage moisture determined by oven drying (approximately 60 degrees Celsius) to a constant mass. The remaining soil sample was used for the determination of radionuclide activity concentrations; prior to analyses, these samples were dried at approximately 80 degrees Celsius.\n\nThis work was funded by the NERC, Grant Ref: NE/P015212/1 (RED FIRE: Radioactive Environment Damaged by fire: a Forest In Recovery)","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Gashchak","Maksimenko","Chaplow","Wood","Beresford"],"fullName":["Barnett, C.L.","Gashchak, S.","Maksimenko, A.","Chaplow, J.S.","Wood, M.D.","Beresford, N.A."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.","A. ","J.S.","M.D. ","N.A."],"grant":["NE/P015212/1"],"identifier":"60782622-7bfa-4615-a9e3-0a802a9f4674","incomingCitationCount":0,"keyword":["high-purity germanium γ-detector ","β-spectrometer ","MKS-01R meter","Chernobyl","Red Forest","Chornobyl","Radioecology","Plot experiment","radionuclide activity","Environmental Risk from Ionising Contaminants: Assessment and Management (ERICA)","RED FIRE","bacterium","grass","deciduous tree","radionuclide"],"keywordsInstrument":["high-purity germanium γ-detector ","β-spectrometer ","MKS-01R meter"],"keywordsOther":["Plot experiment","radionuclide activity","Environmental Risk from Ionising Contaminants: Assessment and Management (ERICA)","RED FIRE","bacterium","grass","deciduous tree","radionuclide"],"keywordsPlace":["Chernobyl","Red Forest","Chornobyl"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Cs-137 activity concentrations were determined in grassy vegetation and soil using a high-purity germanium γ-detector (Model GC3019, Canberra-Packard, Connecticut, USA). A standard 137Cs/152Eu source (OISN-1; Applied Ecology Laboratory of Environmental Safety Centre, Odessa, Ukraine) was used for calibration. The minimal detectable activity was approximately 0.18 Bq per sample with uncertainties of approximately 10-15 percent (p=0.95) depending on the sample type. \n\nSr-90 activity concentrations were determined in soil and grassy vegetation samples using a β-spectrometer (EXPRESS-01) with a thin-filmed (0.1 mm) plastic scintillator detector. No radiochemical pre-treatment was required and samples were analysed as a solid matrix. Daily calibrations were conducted. Spectra were processed by correlating the sample spectra with those obtained from standard sources and those obtained from background measurements; uncertainties were approximately 20 percent (p=0.95).\nPrior to processing to determine activity concentrations of 241Am and Pu isotopes in soil samples, 242Pu and 243Am were added as yield tracers. Samples were dissolved in HF followed by treatment with HNO3, HCl, H3BO3+HNO3 and 8M HNO3. Plutonium and Am were separated using anion exchange resin (Bio Rad AG 1 × 8, 100-200 mesh). The Pu fraction was evaporated. Americium was precipitated with calcium oxalate and then separated using TRU resin columns; lanthanides were removed using an anion exchange resin column. Thin alpha sources of each separated actinide element were prepared by micro co-precipitation with neodymium fluoride and analysed using a Canberra Alpha Analyst alpha spectrometer. Counting errors were typically <20 percent.\n\nTo estimate the activity concentrations of Am-241 and Pu-isotopes for grassy vegetation transfer parameters (CRwo-soil) for Agrostis gigantea from a site within the Red Forest were used (Beresford et al. 2020; Table 4) together with the appropriate measured soil activity concentration (DM). To estimate Sr-90 and Cs-137 activity concentrations in deciduous trees CRwo-soil values from sites within the CEZ were used (Holiaka et al. 2020) together with the measured soil activity concentrations (dry mass); for Am-241 and Pu-isotopes CRwo-soil values for Pinus sylvestris (wood) from a site within the Red Forest were used (Beresford et al. 2020; Table 4).\n\nWeighted absorbed dose rate estimations for grassy vegetation and deciduous tree wood were made using the ERICA Tool http://www.erica-tool.com/ (version 1.3) and the revised ‘R&D128’ spreadsheet model (https://wiki.ceh.ac.uk/display/rpemain/Ar+-+Kr+-+Xe+dose+calculator) was used to estimate the weighted absorbed dose to bacteria. The ambient dose rate (µSv h-1) on the soil surface was measured at each study plot using a MKS-01R meter.","locations":["POLYGON((30.001 51.342, 30.001 51.415, 30.091 51.415, 30.091 51.342, 30.001 51.342))"],"metadataDate":"2026-07-25T06:42:44.000Z","orcid":["0000-0001-9723-7247","0000-0002-8058-8697","0000-0002-0635-2387","0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","University of Salford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60782622-7bfa-4615-a9e3-0a802a9f4674","10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674","doi:10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/052dx1v90","https://ror.org/01tmqtf75","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to…","state":"published","supplementalName":["TREE website","REDFIRE website","CHAR webpage"],"temporalExtentText":"Data collected from 2016 to 2017","title":"Soil and vegetation radionuclide activity concentrations and calculated dose rates from the Red Forest, Chernobyl, Ukraine, 2016-2017","topic":["0/Radioecology/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Environmental Change Institute"],"authorFamilyName":["Verschuur"],"authorFullName":["Verschuur, J."],"authorGivenName":["J."],"authorOrcid":["0000-0002-5277-4353"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the projected fuel demand per vessel type in the year 2050 at 1377 ports around the world. The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter than 1000 km are excluded as these will likely be electrified.  The projected fuel demand is given in tonnes of Heavy Fuel Oil.","documentType":"GEMINI_DOCUMENT","familyName":["Verschuur"],"fullName":["Verschuur, J."],"funder":["Natural Environment Research Council"],"givenName":["J."],"grant":["NE/W004976/1"],"identifier":"f22a6c34-bd82-4fde-911c-16793f2a6752","incomingCitationCount":0,"keyword":["merchant shipping","fuel","international trade","decarbonization","trade projections"],"keywordsOther":["merchant shipping","fuel","international trade","decarbonization","trade projections"],"licence":"Open government licence","lineage":"Data are generated by coupling a previously developed Global Maritime Transport Model (OxMarTrans) with a vessel database including fuel consumption. This enables the quantification of present-day fuel demand at ports globally. This is combined with trade projections for 2050 (compared to 2015) which are used to scale fuel demand into the future. The dataset provided is the end-result of this, with fuel demand at the port-level provided for each future trade scenario. Quality assurance is provided by comparing the global fuel demand estimates with other modelling studies, showing that our estimates compare closely with other studies. ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T18:05:27.000Z","orcid":["0000-0002-5277-4353"],"organisation":["Environmental Change Institute","NERC EDS Environmental Information Data Centre","University of Oxford"],"publicationDate":"2024-02-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f22a6c34-bd82-4fde-911c-16793f2a6752","10.5285/f22a6c34-bd82-4fde-911c-16793f2a6752","doi:10.5285/f22a6c34-bd82-4fde-911c-16793f2a6752"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/04xw4m193","https://ror.org/052gg0110"],"shortenedDescription":"This dataset contains the projected fuel demand per vessel type in the year 2050 at 1377 ports around the world. The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter…","state":"published","temporalExtentText":"Data collected from 2050 to 2050","title":"Maritime fuel demand projections for the year 2050 at 1377 global ports","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bentley","Brentegani","Tandy","Ebuele","Deacon","Fitos","Patton","Garbutt","Williams","Wood","Lebron","Robinson","Smart","Maskell","Keith","O'Neil","Henrys","Andrews","Campbell","Doyle","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Vallis-Wilks","Wagner"],"authorFullName":["Bentley, L.","Brentegani, M.","Tandy, S.","Ebuele, V.","Deacon, A.","Fitos, E.","Patton, J.","Garbutt, A.","Williams, G.","Wood, C.","Lebron, I.","Robinson, D.","Smart, S.","Maskell, L.","Keith, A.","O'Neil, A.","Henrys, P.","Andrews, C.","Campbell, K.","Doyle, S.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Vallis-Wilks, M.","Wagner, M."],"authorGivenName":["L.","M.","S.","V.","A.","E","J.","A","G.","C.","I.","D.","L","P.","K.","D.W."],"authorOrcid":["0000-0001-5055-7673","0000-0002-9145-9786","0000-0002-0394-2998","0000-0001-8610-9717","0000-0003-2750-7832","0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024 is the first year of a new monitoring cycle. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (soil organic carbon, SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. These samples are co-located with a botanical survey as part of the integrated monitoring approach, which is also available on the EIDC. \n\nThe UKCEH 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.  Previous monitoring cycles have been carried out in 1978, 1984, 1990, 1998, 2007and 2019-2023 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares each monitoring cycle. 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 soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\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 and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Brentegani","Tandy","Ebuele","Deacon","Fitos","Patton","Garbutt","Williams","Wood","Lebron","Robinson","Smart","Maskell","Keith","O'Neil","Henrys","Andrews","Campbell","Doyle","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Vallis-Wilks","Wagner"],"fullName":["Bentley, L.","Brentegani, M.","Tandy, S.","Ebuele, V.","Deacon, A.","Fitos, E.","Patton, J.","Garbutt, A.","Williams, G.","Wood, C.","Lebron, I.","Robinson, D.","Smart, S.","Maskell, L.","Keith, A.","O'Neil, A.","Henrys, P.","Andrews, C.","Campbell, K.","Doyle, S.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Vallis-Wilks, M.","Wagner, M."],"funder":["Natural Environment Research Council"],"givenName":["L.","M.","S.","V.","A.","E","J.","A","G.","C.","I.","D.","L","P.","K.","D.W."],"grant":["NE/Y006208/1"],"identifier":"cab9f36c-075e-4359-8781-24a8488641c3","incomingCitationCount":0,"keyword":["Great Britain","Soil","Environmental survey","bulk density","carbon stock","monitoring","national monitoring","nitrogen","nutrient","pH","soil","soil condition","soil quality"],"keywordsOther":["bulk density","carbon stock","monitoring","national monitoring","nitrogen","nutrient","pH","soil","soil condition","soil quality"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Within each of 105 x 1km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). In addition and where practically possible (and for the first time in the Countryside Survey), up to three additional soil samples were taken per 1km square, associated with linear features in proximity to one of the randomly dispersed sampling locations. These linear feature soil samples were taken from a plot associated with a hedgerow, a streamside and a boundary (maximum of one sample per plot type per square).  The soil samples analysed for soil metrics were taken using a 15 cm long soil core, from a location co-incident with vegetation surveys. \n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n\nTwo additional 15cm soil cores were taken from each randomly dispersed plot and stored in the UKCEH soil bank, available for further use, along with any remaining material from soil cores used in analysis. \n\nFor additional information, see the attached meta-data.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-25T09:11:35.000Z","orcid":["0000-0001-5055-7673","0000-0002-9145-9786","0000-0002-0394-2998","0000-0001-8610-9717","0000-0003-2750-7832","0000-0003-4006-7755"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cab9f36c-075e-4359-8781-24a8488641c3","10.5285/cab9f36c-075e-4359-8781-24a8488641c3","doi:10.5285/cab9f36c-075e-4359-8781-24a8488641c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2024","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","description":"This dataset collection includes data outputs from the research programme GALLANT - Glasgow as a Living Lab Accelerating Novel Transformation, developed by The University of Glasgow, in partnership with Glasgow City Council. GALLANT collates and produces data on environment, ecology, place, people and communities to learn about Glasgow's 'living space', how it is changing, and what effect interventions may have on the future environment, economy, health and wellbeing for the city. The nature and volume of such data will change throughout this dynamic strategic programme as the systems wide approach evolves and partnerships increase.\n\nData generated specifically within GALLANT will include:\nA) Quantitative geospatial/temporal data - environmental experiments running throughout the programme, including biodiversity records, evaluation of carbonation and pollutant data from contaminated sites, data from a randomised controlled trial supporting active travel, and energy demand (including both heat and electricity). \nB) Qualitative/narrative data - social data, including narratives, interviews and surveys from citizen engagements which will be in different formats, including text, image, audio and video, and geotagging. \nC) Indicators/model outputs/simulated data - environmental, health and wellbeing, and social cohesion indicators developed and evaluated across the programme at local and city scales.\n D) Model outputs from: flood risk and energy opportunities mapping, modelling and LCA, statistical and agent based models.\n\nThe GALLANT program was funded by UKRI NERC as part of their Changing the Environment investment, and through this project University researchers are helping the city move towards climate resilience whilst tackling health, social and economic inequalities. For more information, please contact gallant-info@glasgow.ac.uk.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/W005042/1"],"identifier":"db683642-7135-44f8-b37f-127ec578aa06","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-08-19T09:27:52.000Z","organisation":["University of Glasgow"],"publicationDate":"2026-04-08T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/db683642-7135-44f8-b37f-127ec578aa06"],"resourceType":"Aggregation","ror":["https://ror.org/00vtgdb53"],"shortenedDescription":"This dataset collection includes data outputs from the research programme GALLANT - Glasgow as a Living Lab Accelerating Novel Transformation, developed by The University of Glasgow, in partnership with Glasgow City Council. GALLANT collates and produces data on environment,…","state":"published","supplementalName":["GALLANT Project Website","Additional data - Managing gardens for pollinators","Additional data - Floral richness in urban garden and allotments","Additional data - Camera recordings of insect visitors"],"title":"Glasgow as a Living Lab Accelerating Novel Transformation (GALLANT) Data Outputs, 2022-2028","version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Stephens","Iwanicka","Tang","Crory"],"authorFullName":["Stephens, A.","Iwanicka, A.","Tang, S.","Crory, A."],"authorGivenName":["A.","S."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Iwanicka","Tang","Crory"],"fullName":["Stephens, A.","Iwanicka, A.","Tang, S.","Crory, A."],"givenName":["A.","S."],"identifier":"ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac","incomingCitationCount":0,"keyword":["ALPHA sampler","ammonia","Pollution"],"keywordsInstrument":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"This data was produced from samplers collected by UWT and analysed by UK CEH.  Analysis data was processed using the UK CEH AAGA data handling system.","locations":["POLYGON((-6.698 54.822, -6.698 54.836, -6.657 54.836, -6.657 54.822, -6.698 54.822))"],"metadataDate":"2026-07-25T13:23:32.000Z","organisation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac","10.5285/ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac","doi:10.5285/ae00e10c-63b2-4b40-a8c1-998bd1c3e0ac"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland, 2020","topic":["0/Pollution/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern Ireland. \nTo aid interpretation, two additional spatial datasets are provided:\n\n1km x 1km grids identifying majority lake cells for a) Great Britain and b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.\n","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A.","Rudd, A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Ali"],"grant":["NE/R016429/1"],"identifier":"c9a85f7c-45e2-4201-af82-4c833b3f2c5f","incomingCitationCount":3,"keyword":["Hydrology","Modelling","Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsOther":["Great Britain","Grid-to-Grid","Northern Ireland","Soil moisture","UK-Scape"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T14:03:56.000Z","orcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-12-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f","doi:10.5285/c9a85f7c-45e2-4201-af82-4c833b3f2c5f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2011 (units: m water/m soil). The data are provided in gridded netCDF files. There are separate files for Great Britain and Northern…","state":"published","temporalExtentText":"Data collected from 1980 to 2011","title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by observed data (1980 to 2011)","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Unaffiliated","Royal Veterinary College of London"],"authorFamilyName":["Sánchez-Monge","Kock"],"authorFullName":["Sánchez-Monge, F.","Kock, R.A."],"authorGivenName":["Fiorella","R.A."],"authorOrcid":["0000-0003-2164-385X","0000-0002-6561-3209"],"authorRor":["https://ror.org/01wka8n18"],"availability":"Available","catalogue":"eidc","dataFormat":["Semi-colon delimited text"],"description":"Field-pathological findings of 33 saiga antelope carcasses (adults and new-born) found in two sites (Tengiz and Turgai, Kazakhstan) during a mass die-off event in May 2015. \n\nIn Kazakhstan May 2015, approximately 200,000 saiga antelopes died within a month-period causing a loss of two-thirds of the global population. The dramatic event occurred during calving season when females and young males stop migrating and form massive aggregations for calving purposes.  With 100% morbidity and 100% mortality of affected herds observed, the 2015 die-off left the largest saiga population, Betpak-Dala, with approximately 30,000 survivors based on post mortality census, highlighting the imminent extinction threats to this critically endangered species. \n\nThe lack of pathological investigations during historical mass mortality events has limited our understanding of disease-related mortalities in saiga antelope. Generally, aetiological agents were isolated from dead saiga, but the disease course and a full necropsy were not performed nor present in the records. However, for the first time, a full pathology report was possible during 2015.","documentType":"GEMINI_DOCUMENT","familyName":["Sánchez-Monge","Kock"],"fullName":["Sánchez-Monge, F.","Kock, R.A."],"givenName":["Fiorella","R.A."],"identifier":"30cbfba7-f9a1-47d5-abdb-f2741041e487","incomingCitationCount":0,"keyword":["Kazakhstan","Tengiz","Saiga antelope"],"keywordsOther":["Saiga antelope"],"keywordsPlace":["Kazakhstan","Tengiz"],"licence":"Open government licence","lineage":"Sixteen saiga carcasses were necropsied in Tengiz Oblast (thirteen adults and three new-borns), and eighteen carcasses in Turgai Oblast (twelve adults and six new-borns). Field necropsy procedures were followed according to: Munson, L., Necropsy of Wild Animals. University of California. 2006. \n\nSamples were fixed in formal saline and shipped and processed at the Royal Veterinary College (RVC), UK. Samples from Turgai were processed at RVC and from Tengiz were processed initially at the Research Institute for Biological Safety Problems (RIBSP), Kazakhstan and re-processed at the RVC. Sample and slide preparation at the RVC is described in  Martineau, H.M. Histopathology of Tissues from Saiga Antelope: Turgai. Pathology and Pathogen Biology Department, Royal Veterinary College of London, UK.\n\nSamples were analysed at the RVC and then sent to the Forest School of Medicine, NC, USA for review. ","locations":["POLYGON((65.45 49.74, 65.45 51.8, 67.49 51.8, 67.49 49.74, 65.45 49.74))"],"metadataDate":"2026-09-15T08:41:48.000Z","orcid":["0000-0003-2164-385X","0000-0002-6561-3209"],"organisation":["Unaffiliated","Royal Veterinary College of London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/30cbfba7-f9a1-47d5-abdb-f2741041e487","10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487","doi:10.5285/30cbfba7-f9a1-47d5-abdb-f2741041e487"],"resourceType":"Dataset","ror":["https://ror.org/01wka8n18","https://ror.org/04xw4m193"],"shortenedDescription":"Field-pathological findings of 33 saiga antelope carcasses (adults and new-born) found in two sites (Tengiz and Turgai, Kazakhstan) during a mass die-off event in May 2015. \n\nIn Kazakhstan May 2015, approximately 200,000 saiga antelopes died within a month-period causing…","state":"published","supplementalDescription":["Saigas on the brink: Multidisciplinary analysis of the factors influencing mass mortality events by Kock et al., 2018. Science Advances. DOI: 10.1126/sciadv.aao2314"],"temporalExtentText":"Data collected from 2015 to 2015","title":"Pathological findings in the mass mortality event of saiga antelope, May 2015","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Glasgow"],"authorFamilyName":["Xu","Barrett","Renaud"],"authorFullName":["Xu, J.","Barrett, B.","Renaud, F.G."],"authorGivenName":["J.","B.","F.G."],"authorOrcid":["0000-0003-2949-5353","0000-0002-4380-4020","0000-0002-0830-1196"],"authorRor":["https://ror.org/00vtgdb53"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset includes polygons representing ecosystem types (ET) and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, with attributes recording 14 ecosystem types (ET), 11 provisioning services (PS), ten regulating services (RS), five cultural services (CS), 7 Ecological integrity indicators (EI), and 11 ecosystem disservices (EDS).\n","documentType":"GEMINI_DOCUMENT","familyName":["Xu","Barrett","Renaud"],"fullName":["Xu, J.","Barrett, B.","Renaud, F.G."],"givenName":["J.","B.","F.G.","Jiren"],"identifier":"2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5","incomingCitationCount":0,"keyword":["China","Luanhe River Basin","Ecosystem services","Ecosystem disservices","Ecosystem types","Capacity matrix"],"keywordsOther":["Ecosystem disservices","Ecosystem types","Capacity matrix"],"keywordsPlace":["China","Luanhe River Basin"],"keywordsTheme":["Ecosystem services"],"licence":"Open government licence","lineage":"ET in the LRB was derived from China’s National Land Use and Cover Change (CNLUCC) dataset produced by the Resources and Environmental Sciences Data Center of the Chinese Academy of Sciences. The ecosystem services capacity matrix was then filled by 25 experts with extensive theoretical and practical knowledge of the local environment and/or ES were engaged in the research. ES and EDS scores were ranked from 0 to 5 to express the capacity of an ET to provide a specific ES/EDS. In addition to each ES/EDS score, the experts were asked to give a confidence index in their score for each ES/EDS and each ET from 1 to 3. This confidence index was used to estimate expert confidence in providing the capacity score.","locations":["POLYGON((115 39, 115 42, 119 42, 119 39, 115 39))"],"metadataDate":"2026-07-24T19:23:10.000Z","orcid":["0000-0003-2949-5353","0000-0002-4380-4020","0000-0002-0830-1196"],"organisation":["University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5","10.5285/2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5","doi:10.5285/2252d8a4-0ef3-403f-b2c3-3f7acbcac1d5"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes polygons representing ecosystem types (ET) and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, with attributes recording 14 ecosystem types (ET), 11 provisioning services (PS), ten regulating services (RS),…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Ecosystem types and their respective ecosystem services (ES) and disservices (EDS) in the Luanhe River Basin, China","topic":["0/Ecosystem services/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","University of Leeds","Universidad Nacional de Colombia","Corporación COL-TREE","University of Plymouth"],"authorFamilyName":["González-Caro","Clerici","Andrade-Vargas","Restrepo","Taylor","Fauset","Lara","Montoya","Patiño Quiroz","Pérez","Mercado"],"authorFullName":["González-Caro, S.","Clerici, S.","Andrade-Vargas, L.F.","Restrepo, Z.","Taylor, T.","Fauset, S.","Lara, V.","Montoya, J.F.","Patiño Quiroz, M.C.","Pérez, J.C.","Mercado, L.M."],"authorGivenName":["Sebastián","Santiago","Luis Felipe","Zorayda","Tyeen","Sophie","Valentina","Juan Fernando","María Camila","Juan Carlos","Lina M"],"authorOrcid":["0000-0002-2287-7431","0000-0002-8618-1804","0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-4246-1828","0009-0009-7462-9120","0000-0003-1945-286X","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/059yx9a68"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset compiles sapflow measurements collected on trees along a tropical elevational gradient in the Colombian Andes across two common garden plantations with contrasting mean annual temperatures (MAT) (13.7 °C and 22.1 °C). Experimental sites have been named after their MAT. High-resolution sapflow measurements were recorded at one-minute resolution with custom-built dataloggers. Recorded variables included date and time of measurements, measured voltage, temperature difference between thermocouples, and estimated sapflow K metric.\n\nMonitored trees were five years old at the time of measurements. Sampling included 36 trees from nine dominant tree species at the 13.7 °C MAT site, and 32 trees from eight species at the 22.1 °C MAT site. Measurement campaigns were conducted between January and February 2024.","documentType":"GEMINI_DOCUMENT","familyName":["González-Caro","Clerici","Andrade-Vargas","Restrepo","Taylor","Fauset","Lara","Montoya","Patiño Quiroz","Pérez","Mercado"],"fullName":["González-Caro, S.","Clerici, S.","Andrade-Vargas, L.F.","Restrepo, Z.","Taylor, T.","Fauset, S.","Lara, V.","Montoya, J.F.","Patiño Quiroz, M.C.","Pérez, J.C.","Mercado, L.M.","Zorayda Restrepo Correa"],"funder":["Natural Environment Research Council"],"givenName":["Sebastián","Santiago","Luis Felipe","Zorayda","Tyeen","Sophie","Valentina","Juan Fernando","María Camila","Juan Carlos","Lina M"],"grant":["NE/X001172/1"],"identifier":"c74b4288-b337-4ec4-a073-3a32cf777761","incomingCitationCount":0,"keyword":["Climate and climate change","tropical montane forest","sap flow","transpiration","plant water use","common garden","Andean elevation gradient","ecohydrology"],"keywordsOther":["tropical montane forest","sap flow","transpiration","plant water use","common garden","Andean elevation gradient","ecohydrology"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Experimental sites were established between December 2018 January 2019, spanning an elevation gradient in the Colombian Andes and are characterized as follows: 13.7°C MAT site (99th percentile temperature, T99 = 21°C; annual precipitation = 2774 mm; elevation = 2452 m.a.s.l., latitude = 5.513235 N and longitude = -75.67725 W ), 22.1°C MAT site (T99 = 33 °C; annual precipitation = 2045 mm; elevation = 1326 m.a.s.l., latitude = 5.641699 N and longitude = -75.685982 W), and 25.5 °C MAT site; T99 = 38 °C; annual precipitation = 2298 mm; elevation = 736 m.a.s.l., latitude = 5.844349 N and longitude = -75.71034 W).\nAt each experimental site, 360 juvenile trees (1-2 years old) from 15 dominant Andean species (11 montane and 4 lowland species) were planted. All trees were planted in common soils originating from a high-elevation site and were regularly irrigated; however, only 10 species remained at the 22.1 °C MAT site.\n\nData were obtained through field measurements conducted on a maximum four individuals of each selected tree species. Sapflow was monitored using custom-made sensors based on the Heat Field Deformation (HFD) method, which quantifies sap flux density by measuring heat transport within the branch. Sensors were installed on branches and operated continuously for a period of 15 days at each site.\n\nQuality control procedures included regular inspection of sensors, power supply systems, and data logging equipment, together with periodic data downloads and validation checks to ensure data continuity and reliability. Measurements were screened for sensor malfunction, data gaps, and anomalous values before analysis.\nDetails of sampling locations and protocols, data processing steps, and dataset-specific methodological information are provided in the supporting documentation.","locations":["POLYGON((-75.711 5.546, -75.711 5.759, -75.659 5.759, -75.659 5.546, -75.711 5.546))"],"metadataDate":"2026-10-13T15:21:23.000Z","orcid":["0000-0002-2287-7431","0000-0002-8618-1804","0000-0002-3213-9985","0000-0002-0926-098X","0000-0003-4246-1828","0009-0009-7462-9120","0000-0003-1945-286X","0000-0003-4069-0838"],"organisation":["University of Exeter","University of Leeds","Universidad Nacional de Colombia","Corporación COL-TREE","University of Plymouth","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-10-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c74b4288-b337-4ec4-a073-3a32cf777761","10.5285/c74b4288-b337-4ec4-a073-3a32cf777761","doi:10.5285/c74b4288-b337-4ec4-a073-3a32cf777761"],"resourceType":"Dataset","rightsHolder":["University of Exeter","Corporación COL-TREE"],"ror":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/059yx9a68","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset compiles sapflow measurements collected on trees along a tropical elevational gradient in the Colombian Andes across two common garden plantations with contrasting mean annual temperatures (MAT) (13.7 °C and 22.1 °C). Experimental sites have been named…","state":"published","supplementalDescription":["Further information about each experimental site is available at"],"supplementalName":["Experimental site information"],"temporalExtentText":"Data collected from 2024 to 2024","title":"Sapflow measurements in montane species in common garden plantations in the Colombian Andes, 2024","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Indian Institute of Technology Hyderabad, India","Indian Institute of Technology, Hyderabad, India","Newcastle University","Indian Institute of Technology Gandhinagar, India","University of Birmingham"],"authorFamilyName":["Sonkar","Kashyap","Pallares-Vega","Sasidharan","Modi","Uluseker","Chandrakalabai Jambu","Mohapatra","Larsen","Graham","Thatikonda","Kreft"],"authorFullName":["Sonkar, V.","Kashyap, A.","Pallares-Vega, R.","Sasidharan, S.S.","Modi, A.","Uluseker, C.","Chandrakalabai Jambu, S.","Mohapatra, P.K.","Larsen, J.","Graham, D.W.","Thatikonda, S.","Kreft, J."],"authorGivenName":["Vikas","Arun","Rebeca","Sai Sugitha","Ankit","Cansu","Sangeetha","Pranab Kumar","Joshua","David W","Shashidhar","Jan-Ulrich"],"authorOrcid":["0000-0002-1011-1164","0009-0009-4060-7409","0000-0002-2960-9368","0009-0008-4349-5871","0000-0003-4667-4839","0000-0001-9828-0458","0000-0002-3297-3486","0000-0002-0650-7369","0000-0002-9753-496X","0000-0003-2973-2224","0000-0002-2351-224X"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic resistance genes, 1 mobile genetic element gene, an E. coli specific gene and 16S rDNA. Samples were taken from the Musi river, upstream, within the city of Hyderabad, India, and downstream of the city, during the wet season of 2022 and the dry season of 2023. The Musi catchment is both rural and urban, including many residential communities, hospitals and factories. Downstream of the city, land use includes agriculture and aquaculture, with less human impact than within the city stretch. Sampling sites were chosen to contrast upstream water conditions with sites in the city and downstream.\nBoth water and sediment grab samples were collected by a team from the Indian Institute of Technology Hyderabad. The data was collected to study the sources and fate of pollution with antimicrobial resistance.","documentType":"GEMINI_DOCUMENT","familyName":["Sonkar","Kashyap","Pallares-Vega","Sasidharan","Modi","Uluseker","Chandrakalabai Jambu","Mohapatra","Larsen","Graham","Thatikonda","Kreft"],"fullName":["Sonkar, V.","Kashyap, A.","Pallares-Vega, R.","Sasidharan, S.S.","Modi, A.","Uluseker, C.","Chandrakalabai Jambu, S.","Mohapatra, P.K.","Larsen, J.","Graham, D.W.","Thatikonda, S.","Kreft, J.","Jan-Ulrich Kreft"],"funder":["Natural Environment Research Council","University Grant Commission (UGC), India","Department of Biotechnology (DBT), India"],"givenName":["Vikas","Arun","Rebeca","Sai Sugitha","Ankit","Cansu","Sangeetha","Pranab Kumar","Joshua","David W","Shashidhar","Jan-Ulrich"],"grant":["NE/T013222/1","F.82-1/2018 (SA-III)","BT/IN/Indo-UK/AMR-Env/03/ST/2020-21"],"identifier":"42e992f7-67b1-44dd-90de-f5990269b00e","incomingCitationCount":0,"keyword":["Hyderabad","Water quality","Environmental risk","Environmental survey","Pollution","antimicrobial resistance","antibiotic resistance","Antibiotic resistant bacteria","Antibiotic resistance genes","Wastewater","River","Urban"],"keywordsOther":["antimicrobial resistance","antibiotic resistance","Antibiotic resistant bacteria","Antibiotic resistance genes","Wastewater","Pollution","River","Urban","Water quality"],"keywordsPlace":["Hyderabad"],"keywordsTheme":["Water quality","Environmental risk","Environmental survey","Pollution"],"licence":"Open government licence","lineage":"Water and sediment grab samples were collected at 10 locations along the Musi River, 1 upstream of the city (relatively clean), 8 within the city of Hyderabad (heavily polluted) and 2 downstream (pollution partially cleared), during the wet (18-19 August 2022) and dry (11-12 March 2023) seasons. Sampling occurred on days without rainfall for the preceding five days to minimize storm-related variability. At most sites, duplicate water samples were collected mid-stream from bridges using a bucket suspended on a rope and transferred to pre-sterilised bottles. Sub-samples were preserved immediately with H2SO4 for chemical oxygen demand (COD) analysis, whereas water temperature, pH, dissolved oxygen (DO), TDS and conductivity were measured on-site.\n\nWater quality and sediment physicochemical parameters were measured using standard protocols. Dry matter (DM) and organic matter (OM) fractions were quantified using standard methods to establish a common basis for concentrations of bacteria and genes across sediment samples with different mineral content. Viable counts were taken on different media. E. coli was quantified on Tryptone Bile X-β-D-glucuronide agar as blue-green colonies, incubated at 44°C, as an indicator of faecal pollution and sentinel for AMR prevalence. 'Total' Gram-negative (GN) heterotrophic bacteria were enumerated on SDS-supplemented OECD synthetic sewage medium (OSS) at both 30°C for environmental and 44°C for gut-associated bacteria. Extended-spectrum β-lactamase (ESBL)-producing and carbapenem-resistant (CARB) GN heterotrophic subpopulations were enumerated on OSS supplemented with appropriate selective antibiotics. These clinically relevant resistance phenotypes were selected as GN bacteria account for the majority of global AMR-attributable mortality. All samples were plated in triplicate within 24 hours of collection, and colony counts recorded after 24 hours of incubation.\n\nDNA from both water and sediment samples was extracted within 24 hours of sampling. Using qPCR, the 16S rDNA gene was quantified as a proxy for total prokaryotes and to compare with culturing data. Antimicrobial resistance genes (ARGS) included genes coding for resistance to fluoroquinolones (qnrS), aminoglycosides (aph(3'')-Ib), sulfonamides (sul2), carbapenems and third-generation cephalosporins (blaNDM and blaCTX-M), macrolides (ermF), and tetracyclines (tetW). Two more genes were included: uidA to quantify E. coli numbers and intI1 to quantify class I integrons as a proxy for mobile genetic elements (MGEs). \n\nSynthetic DNA fragments containing suites of target genes were used as positive controls and to create standard curves, for which ten-fold serial dilutions of gene fragments were performed in DNase/RNase-free water. Every sample was analysed in technical duplicates. Standard curves were included in each PCR plate with at least seven serial dilution points and technical duplicates. A joint standard curve based on standard curves from every run was created for every gene set. Concentrations of genes in the samples were then calculated using this joint standard curve.","locations":["POLYGON((78.3 17.2, 78.3 17.4, 79.5 17.4, 79.5 17.2, 78.3 17.2))"],"metadataDate":"2026-07-24T21:15:24.000Z","orcid":["0000-0002-1011-1164","0009-0009-4060-7409","0000-0002-2960-9368","0009-0008-4349-5871","0000-0003-4667-4839","0000-0001-9828-0458","0000-0002-3297-3486","0000-0002-0650-7369","0000-0002-9753-496X","0000-0003-2973-2224","0000-0002-2351-224X"],"organisation":["Indian Institute of Technology Hyderabad, India","Indian Institute of Technology, Hyderabad, India","Newcastle University","Indian Institute of Technology Gandhinagar, India","University of Birmingham","NERC EDS Environmental Information Data Centre","Indian Institute of Technology Hyderabad"],"publicationDate":"2026-03-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/42e992f7-67b1-44dd-90de-f5990269b00e","10.5285/42e992f7-67b1-44dd-90de-f5990269b00e","doi:10.5285/42e992f7-67b1-44dd-90de-f5990269b00e"],"resourceType":"Dataset","rightsHolder":["Indian Institute of Technology Hyderabad","University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"The data comprises all standard water quality parameters (including chemical oxygen demand, pH, dissolved oxygen, total dissolved solids), viable counts of heterotrophic bacteria and resistant bacteria and Escherichia coli, qPCR measured concentrations of 7 antibiotic…","state":"published","temporalExtentText":"Data collected from 2022 to 2022; Data collected from 2023 to 2023","title":"Water quality measurements and antimicrobial resistance in the Musi River, Hyderabad, India, 2022-2023","topic":["0/Water quality/","0/Environmental risk/","0/Environmental survey/","0/Pollution/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Warwick","Animal and Plant Health Agency / University of Exeter","University of Exeter","University of Bristol"],"authorFamilyName":["Konzen","Delahay","Hodgson","McDonald","Brooks Pollock","Spencer","McKinley"],"authorFullName":["Konzen, E.","Delahay, R.J.","Hodgson, D.J.","McDonald, R.A.","Brooks Pollock, E.","Spencer, S.","McKinley, T.J."],"authorGivenName":["E.","R.J.","D.J.","R.A.","S.","T.J."],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"This resource provides code to fit a transmission model of bovine tuberculosis spread to a population of wild badgers in Woodchester Park in the UK. The code produces Markov chain Monte Carlo samples from a model fitted to individual-level badger data from Woodchester Park. The badger data came from and can be requested from the Animal and Plant Health Agency. Example outputs are provided in the Supporting Information. This code was developed as part of a Natural Environment Research Council funded grant (number NE/V000616/1).","documentType":"GEMINI_DOCUMENT","familyName":["Konzen","Delahay","Hodgson","McDonald","Brooks Pollock","Spencer","McKinley"],"fullName":["Konzen, E.","Delahay, R.J.","Hodgson, D.J.","McDonald, R.A.","Brooks Pollock, E.","Spencer, S.","McKinley, T.J."],"funder":["Natural Environment Research Council"],"givenName":["E.","R.J.","D.J.","R.A.","S.","T.J."],"grant":["NE/V000616/1"],"identifier":"fe0f6bd7-ffd2-4e21-8c84-493cf4f3080d","incomingCitationCount":0,"keyword":["Woodchester Park","Animal behaviour","Bovine tuberculosis","badgers","individual forward filtering backward sampling algorithm"],"keywordsOther":["Bovine tuberculosis","badgers","individual forward filtering backward sampling algorithm"],"keywordsPlace":["Woodchester Park"],"keywordsTheme":["Animal behaviour"],"licence":"Non-Open government licence","lineage":"The code was developed and tested in R over a two-year project. Careful checks on the fitted model outputs against the observed data were done in order to assess the efficacy of the code and the models developed. These are all shown in the Supporting Information.","locations":["POLYGON((-2.298 51.702, -2.298 51.717, -2.232 51.717, -2.232 51.702, -2.298 51.702))"],"metadataDate":"2026-07-25T18:11:43.000Z","organisation":["University of Warwick","Animal and Plant Health Agency / University of Exeter","University of Exeter","University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-25T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe0f6bd7-ffd2-4e21-8c84-493cf4f3080d","10.5285/fe0f6bd7-ffd2-4e21-8c84-493cf4f3080d","doi:10.5285/fe0f6bd7-ffd2-4e21-8c84-493cf4f3080d"],"resourceType":"Model","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This resource provides code to fit a transmission model of bovine tuberculosis spread to a population of wild badgers in Woodchester Park in the UK. The code produces Markov chain Monte Carlo samples from a model fitted to individual-level badger data from Woodchester…","state":"published","supplementalDescription":["Detecting superspreaders in wildlife reservoirs of disease.\nEvandro Konzen, Richard J. Delahay, Dave J. Hodgson, Robbie A. McDonald, Ellen Brooks Pollock, Simon E. F. Spencer, Trevelyan J. McKinley\nbioRxiv 2024.01.26.576600"],"title":"R code for fitting a transmission model of bovine tuberculosis to a population of wild badgers","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","hajd"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}