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These included already-established models such as Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) and Landis-II, and some models specifically created for the AgLand project. The nature and units of recorded variables related to the appropriate ecosystem service. The quality control of each ecosystem service data was mostly carried out through sense checks (e.g. using values within feasible ranges). 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The ecosystem services modelled were potential crop Production (in terms of calories), pollinator visits, greenhouse…","state":"published","title":"Modelled output of ecosystem services for Great Britain at 1 km resolution","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Cranfield University"],"authorFamilyName":["Nasar","Tyrrel"],"authorFullName":["Nasar, Z.A.","Tyrrel, S."],"authorGivenName":["Z.A.","S."],"authorOrcid":["0000-0002-9953-7144"],"authorRor":["https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data offers insights to utility of single particle ultraviolet light- induced fluorescence (UV-LIF) measurements in providing quantification and spatio-temporal characterisation of bioaerosols alongside the size distribution and characteristics of biological materials in airborne particles based on intrinsic bio fluorophores signatures. A novel ultraviolet light-induced fluorescence (UV-LIF) based bioaerosol sensor unit (Spectral Intensity Bioaerosol Sensor (SIBS)) was evaluated. The SIBS measures size, number, shape, and resolved fluorescence emission across 16 wavelength bands from 298 - 735 nm for two excitation wavelengths (285 nm and 370 nm) for single particles in real-time. Measurements entailed the chamber-based studies and real world environments (composting, dairy farms, chicken farms, sewage treatment plants, urban background, agricultural). This data stems as a part of a project (Detection and characterisation of inflammatory agents associated with bioaerosol emitted from biowaste and intensive agriculture) funded by the Natural Environment Research Council [NE/M01163/1]. The award was made under the auspices of the Environmental Microbiology and Human Health programme. The principal purpose was to assess the capabilities of the SIBS to enhance understanding of the bioaerosols emission and dispersion from industrial processes.","documentType":"GEMINI_DOCUMENT","familyName":["Nasar","Tyrrel"],"fullName":["Nasar, Z.A.","Tyrrel, S."],"funder":["Natural Environment Research Council"],"givenName":["Z.A.","S."],"grant":["NE/M011631/1"],"identifier":"98970053-b34c-44da-97bd-fbfc38fa8b7a","incomingCitationCount":0,"keyword":["Real-time monitoring"," Bioaerosol","Emissions characterisation","Ultraviolet light- induced fluorescence "],"keywordsOther":["Real-time monitoring"," Bioaerosol","Emissions characterisation","Ultraviolet light- induced fluorescence "],"licence":"Open government licence","lineage":"Data were generated through chamber based and real world measurements across different environments (composting, dairy farms, chicken farms, sewage treatment plants, urban background, agricultural).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T13:37:51.000Z","orcid":["0000-0002-9953-7144"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/98970053-b34c-44da-97bd-fbfc38fa8b7a","10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a","doi:10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"The data offers insights to utility of single particle ultraviolet light- induced fluorescence (UV-LIF) measurements in providing quantification and spatio-temporal characterisation of bioaerosols alongside the size distribution and characteristics of biological materials…","state":"published","temporalExtentText":"Data collected from 2016 to 2018","title":"Real-time bioaerosol emission data from a range of environmental sources, UK, 2016-2018","version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","NIH Bhopal"],"authorFamilyName":["Horan","Rickards","Kaelin","Thomas","Houghton-Carr"],"authorFullName":["Horan, R.","Rickards, N.","Kaelin, A.","Thomas, T.","Houghton-Carr, H.A."],"authorGivenName":["R.","N.","A.","T.","H.A."],"authorOrcid":["0000-0002-8304-0272","0000-0002-7303-6739","0000-0002-2672-7676","0000-0003-4465-2169"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03f394x19"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock and irrigation across the Narmada Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5. \n\nFor the Upper Narmada, a baseline of 1970-2013 is presented along with a future time slice of 2028- 2060.  For the whole Narmada, a baseline of 1981-2013 and future period of 2021-2099 is included. The data were produced to help predict how climate and land use change in the region would impact on future water security.\n\nThe research was funded by NERC research grant NE/R000131/1","documentType":"GEMINI_DOCUMENT","familyName":["Horan","Rickards","Kaelin","Thomas","Houghton-Carr"],"fullName":["Horan, R.","Rickards, N.","Kaelin, A.","Thomas, T.","Houghton-Carr, H.A."],"funder":["Natural Environment Research Council"],"givenName":["R.","N.","A.","T.","H.A.","Robyn"],"grant":["NE/R000131/1"],"identifier":"9fc7ab01-c622-46f1-a904-0bcd54073da3","incomingCitationCount":1,"keyword":["Narmada","Manot","Mohgaon","Patan","Gadarwara","Belkheri","Chhigaon","Kohgaon","Barmanghat","Sandia","Hoshangabad","Handia","Mandleshwar","Garudeshwar","Water quality","Environmental survey","General Circulation Model (GCM)","Streamflow","Aquifer level","Probability distribution model (PDM)","Global Water Availability Assessment Tool (GWAVA)","Urban domestic demand","Rural domestic demand","Livestock demand","Industry demand","Irrigation demand","irrigation","livestock","runoff","aquifer","demand"],"keywordsOther":["General Circulation Model (GCM)","Streamflow","Aquifer level","Probability distribution model (PDM)","Global Water Availability Assessment Tool (GWAVA)","Urban domestic demand","Rural domestic demand","Livestock demand","Industry demand","Irrigation demand","irrigation","livestock","runoff","aquifer","demand"],"keywordsPlace":["Narmada","Manot","Mohgaon","Patan","Gadarwara","Belkheri","Chhigaon","Kohgaon","Barmanghat","Sandia","Hoshangabad","Handia","Mandleshwar","Garudeshwar"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"These data were generated using the Global Water Availability Assessment (GWAVA) Model 5.0. The Global Water Availability Assessment Tool (GWAVA) is a large-scale, semi-distributed gridded water resources model developed by the UK Centre for Ecology & Hydrology. The Narmada Basin was modelled at a spatial scale of 0.125 degree using GWAVA5.0. The Upper Narmada was disaggregated into 318 modelling cells and the whole Narmada into 653 cells. The basin included domestic, irrigation and livestock demands, large- scale water transfers, major reservoirs, minor reservoirs and agriculture within command and rural areas. \n\nThe model was calibrated at thirteen gauging stations across the basin against available observed streamflow using the SIMPLEX auto-calibration routine. This routine utilises four parameters (a surface and groundwater routing parameter, a Probability Distributed Model (PDM) parameter that describes spatial variation in soil moisture capacity and a multiplier to adjust rooting depths). The model was then validated across the same 13 gauging stations (over a different time period to the calibration) and 100 groundwater observational wells.","locations":["POLYGON((72.422 20.22, 72.422 24.567, 80.684 24.567, 80.684 20.22, 72.422 20.22))"],"metadataDate":"2026-11-05T14:29:56.000Z","orcid":["0000-0002-8304-0272","0000-0002-7303-6739","0000-0002-2672-7676","0000-0003-4465-2169"],"organisation":["UK Centre for Ecology & Hydrology","NIH Bhopal","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9fc7ab01-c622-46f1-a904-0bcd54073da3","10.5285/9fc7ab01-c622-46f1-a904-0bcd54073da3","doi:10.5285/9fc7ab01-c622-46f1-a904-0bcd54073da3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03f394x19","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock and irrigation across the Narmada Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model…","state":"published","supplementalName":[" Global Water Availability Assessment Model (GWAVA)"],"temporalExtentText":"Data collected from 1970 to 2099","title":"Simulated streamflow, demands and aquifer levels in the Narmada Basin, India, 1970-2099 using the Global Water Availability Assessment Model (GWAVA)","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Scholefield","Neal","Rowland","Chaplow","Sleep"],"authorFullName":["Scholefield, P.A.","Neal, C.","Rowland, A.P.","Chaplow, J.S.","Sleep, D."],"authorGivenName":["P.A.","C.","A.P.","J.S.","D."],"authorOrcid":["0000-0003-2974-6431","0000-0002-8058-8697","0000-0002-2642-6240"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll.","documentType":"GEMINI_DOCUMENT","familyName":["Scholefield","Neal","Rowland","Chaplow","Sleep"],"fullName":["Scholefield, P.A.","Neal, C.","Rowland, A.P.","Chaplow, J.S.","Sleep, D.","Scholefield, P."],"givenName":["P.A.","C.","A.P.","J.S.","D.","Paul"],"identifier":"b4b44b04-bfd0-40ca-b60a-681018eb78ce","incomingCitationCount":0,"keyword":["Ribble","Wyre","Ribble estuary","Burnley","Blackburn","Preston","South Blackpool","Pennines","Water quality","analytical chemistry","catchment","freshwater"],"keywordsOther":["analytical chemistry","catchment","freshwater"],"keywordsPlace":["Ribble","Wyre","Ribble estuary","Burnley","Blackburn","Preston","South Blackpool","Pennines"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Water samples were collected from bridges using a weighted polypropylene sampler. In the field, water temperature was directly recorded at the times of sampling and notes taken on weather, field conditions and water height. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:55:00.000Z","orcid":["0000-0003-2974-6431","0000-0002-8058-8697","0000-0002-2642-6240"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4b44b04-bfd0-40ca-b60a-681018eb78ce","10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce","doi:10.5285/b4b44b04-bfd0-40ca-b60a-681018eb78ce"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Water quality data from 26 Ribble and Wyre river basin sites in north west England. Samples were analysed for major solutes, pH, Gran alkalinity, trace metals, mercury and chlorophyll.","state":"published","supplementalDescription":["Neal, C., Bowes, M., Jarvie, H. P., Scholefield, P., Leeks, G., Neal, M., ...Davies, C. E. (2012). Lowland river water quality: a new UK data resource for process and environmental management analysis. Hydrological Processes, 26(6), 949-960.","Neal, C., Rowland, P., Scholefield, P., Vincent, C., Woods, C., & Sleep, D. (2011). The Ribble/Wyre observatory: Major, minor and trace elements in rivers draining from rural headwaters to the heartlands of the NW England historic industrial base. Science of The Total Environment, 409(8), 1516-1529"],"temporalExtentText":"Data collected from 2008 to 2010","title":"Water quality data from the Ribble and Wyre catchments 2008-2010","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Inston","Rayner","Morrell","Shannon","Hatchell","Bennie","Gaston"],"authorFullName":["Inston, M.J.","Rayner, C.W.","Morrell, S.","Shannon, J.P.","Hatchell, J.","Bennie, J.","Gaston, K.J."],"authorGivenName":["Maisy J.","Charlie W.","Sam","John P.","Jennifer","Jonathan","Kevin J."],"authorOrcid":["0009-0008-5833-0180","0009-0000-4437-5435","0000-0001-6352-5312","0009-0006-9456-7068","0000-0002-4870-2760","0000-0003-4394-2041","0000-0002-7235-7928"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the behavioural responses of moths to different lighting environments around the University of Exeter's Penryn campus, in Penryn, Cornwall, UK. The fieldwork experiments were carried out from March to October 2024. Moths were captured and then released in different lighting environments. From each release the time to move, type of movement and direction of movement was recorded. Through the analysis of the behavioural responses in variable lighting environments, we can gauge the impact of their variation on moth behaviour. The fieldwork was carried out by Maisy Inston, Charlie Rayner and Jon Bennie. Analysis was performed by Maisy Inston and Charlie Rayner.","documentType":"GEMINI_DOCUMENT","familyName":["Inston","Rayner","Morrell","Shannon","Hatchell","Bennie","Gaston"],"fullName":["Inston, M.J.","Rayner, C.W.","Morrell, S.","Shannon, J.P.","Hatchell, J.","Bennie, J.","Gaston, K.J.","Samuel Morrell"],"funder":["Natural Environment Research Council"],"givenName":["Maisy J.","Charlie W.","Sam","John P.","Jennifer","Jonathan","Kevin J."],"grant":["NE/V000497/1"],"identifier":"009e67a1-f2e8-4ae6-a7e2-b1a99e4b3ca1","incomingCitationCount":0,"keyword":["Animal behaviour","Biodiversity","biota","lepidopteran","ecology","animal behaviour","lighting"],"keywordsOther":["biota","lepidopteran","ecology","animal behaviour","lighting"],"keywordsTheme":["Animal behaviour","Biodiversity"],"licence":"Open government licence","lineage":"The data presented were collected directly by fieldworkers. The raw data form either observations made by fieldworkers, or videos from camera performing moth behaviour. From these videos, the moth behaviour data presented herein were then recorded by a human. The final data were then collated into the single CSV file provided in this dataset. Each of the observations were back-checked by another person. To ensure the integrity of the data, in the event of adverse weather conditions, the fieldworking was cancelled and any collected moths were released.","locations":["POLYGON((-5.132 50.164, -5.132 50.174, -5.114 50.174, -5.114 50.164, -5.132 50.164))"],"metadataDate":"2026-11-05T13:28:11.000Z","orcid":["0009-0008-5833-0180","0009-0000-4437-5435","0000-0001-6352-5312","0009-0006-9456-7068","0000-0002-4870-2760","0000-0003-4394-2041","0000-0002-7235-7928"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/009e67a1-f2e8-4ae6-a7e2-b1a99e4b3ca1","10.5285/009e67a1-f2e8-4ae6-a7e2-b1a99e4b3ca1","doi:10.5285/009e67a1-f2e8-4ae6-a7e2-b1a99e4b3ca1"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the behavioural responses of moths to different lighting environments around the University of Exeter's Penryn campus, in Penryn, Cornwall, UK. The fieldwork experiments were carried out from March to October 2024. Moths were captured and then…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Behavioural responses of moths to different lighting environments, Penryn, Cornwall, UK, March-October 2024","topic":["0/Animal behaviour/","0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"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":"2026-11-05T13:27:01.000Z","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":["University of Southern Denmark","Zayed University"],"authorFamilyName":["Rovelli","Attard","Stahl","Glud"],"authorFullName":["Rovelli, L.","Attard, K.M.","Stahl, H.","Glud, R.N."],"authorGivenName":["L.","K. M","H.","R. N."],"authorOrcid":["0000-0003-4011-7484"],"authorRor":["https://ror.org/03yrrjy16","https://ror.org/03snqfa66"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains high-resolution flow transects that were obtained from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Data were obtained from field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014.","documentType":"GEMINI_DOCUMENT","familyName":["Rovelli","Attard","Stahl","Glud"],"fullName":["Rovelli, L.","Attard, K.M.","Stahl, H.","Glud, R.N."],"givenName":["L.","K. M","H.","R. N.","Lorenzo"],"identifier":"16df35a9-90ab-4273-8b6c-5ef3648ec76d","incomingCitationCount":1,"keyword":["Hampshire Avon","England","United Kingdom","River","Flow regime","Discharge"],"keywordsOther":["River","Flow regime","Discharge"],"keywordsPlace":["Hampshire Avon","England","United Kingdom"],"licence":"Open government licence","lineage":"All data were generated by the authors. As data containing physical parameters were generated, checks were made to ensure that each instrument was properly calibrated and serviced prior to each campaign to keep accuracy and precision within the manufacturer tolerances. Flow measurements that were inconsistent with adjacent measurements were repeated to avoid biases. A note was added to flag data point where specific benthic features, such as aquatic vegetation, were present in the vicinity of the measurements spot. Only out-of-range (i.e., negative) flow averages were directly removed from the datasets. ","locations":["POLYGON((-2.281 50.551, -2.281 51.297, -1.619 51.297, -1.619 50.551, -2.281 50.551))"],"metadataDate":"2026-09-15T08:38:38.000Z","orcid":["0000-0003-4011-7484"],"organisation":["University of Southern Denmark","Zayed University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-11-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/16df35a9-90ab-4273-8b6c-5ef3648ec76d","10.5285/16df35a9-90ab-4273-8b6c-5ef3648ec76d","doi:10.5285/16df35a9-90ab-4273-8b6c-5ef3648ec76d"],"resourceType":"Dataset","ror":["https://ror.org/03yrrjy16","https://ror.org/03snqfa66","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains high-resolution flow transects that were obtained from representative sites at six rivers within sub-catchments of contrasting geology (clay, greensand, chalk) of the Hampshire River Avon catchment (UK). Data were obtained from field-based measurements…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Flow velocity transects collected seasonally at six tributaries of Hampshire River Avon from 2013 to 2014","version":1.0,"view":["public","kath"]},{"authorAffiliation":["Lancaster University","Maynooth University"],"authorFamilyName":["Chappell","Jones","Broderick"],"authorFullName":["Chappell, N.A.","Jones, T.D.","Broderick, C."],"authorGivenName":["N.A.","T.D.","C."],"authorOrcid":["0000-0001-6683-951X","0000-0001-6018-8672","0000-0002-3610-2899"],"authorRor":["https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 0.6 square kilometres, upland grassland catchment. The stream, Nant Esgair Garn, drains into the Llyn Brianne reservoir, Powys, United Kingdom. The data are for a 31 year period covering 1st April 1982 to 1st April 2012. The streamflow and acidity data are derived from 15 minute resolution observations throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Esgair Garn. The monthly rainfall measures presented, were derived from local rain gauges. The monthly temperature measures presented were derived from observations at a weather station near Talgarth, Powys. Routines within the Lancaster University Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems (CAPTAIN) Toolbox for Matlab were used to develop a dynamic model of these data. These models were then used to simulate the 31-year record for which monthly statistics were derived. The statistics were derived to develop greater understanding of the controls on the long-term dynamics of aquatic biodiversity observed by other researchers in this stream.\n\nThe work was part of the Diversity in Upland River Ecosystem Service Sustainability (DURESS) project, NERC grant NE/J014826/1. Members of staff from the Lancaster Environment Centre, Lancaster University installed, maintained and downloaded the stream gauging and water quality stations and also carried out statistical analysis of the data.","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Jones","Broderick"],"fullName":["Chappell, N.A.","Jones, T.D.","Broderick, C.","Chappell, N."],"funder":["Natural Environment Research Council"],"givenName":["N.A.","T.D.","C.","Nick"],"grant":["NE/J014826/1"],"identifier":"00185590-537e-40e4-969c-039f44b4dad9","incomingCitationCount":0,"keyword":["Powys","Nant Rhesfa","Llyn Brianne","Diversity in Upland River Ecosystem Service Sustainability (DURESS) ","Biodiversity & Ecosystem Service Sustainability (BESS)","Rainfall","Streamflow","pH","Matlab","CAPTAIN toolbox","Acid Grassland","Upland Grassland"],"keywordsOther":["Rainfall","Streamflow","pH","Matlab","CAPTAIN toolbox","Acid Grassland","Upland Grassland"],"keywordsPlace":["Powys","Nant Rhesfa","Llyn Brianne"],"keywordsProject":["Diversity in Upland River Ecosystem Service Sustainability (DURESS) ","Biodiversity & Ecosystem Service Sustainability (BESS)"],"licence":"Open government licence","lineage":"The streamflow and acidity data are derived from 15 minute resolution observations recorded onto Campbell Scientific CR1000 data loggers throughout the calendar year 2013 from associated stream gauging and water quality stations on the Nant Esgair Garn. Data from each data logger were downloaded at regular intervals onto a laptop. Raw data were then transferred to a secure data store created for the DURESS project, hosted at Lancaster University. Records for local rain gauges were requested from the data owners. Temperature data were requested from the Met Office from observations at a weather station near Talgarth, Powys. The requested data for both rainfall and temperature were held in the DURESS secure data store. Final data were derived from these raw data using analysis in the Matlab programming environment. Values were exported in Excel spreadsheets and then into comma separated values for ingestion into the EIDC.","locations":["POLYGON((-3.721 52.127, -3.721 52.136, -3.709 52.136, -3.709 52.127, -3.721 52.127))"],"metadataDate":"2026-09-15T08:45:55.000Z","orcid":["0000-0001-6683-951X","0000-0001-6018-8672","0000-0002-3610-2899"],"organisation":["Lancaster University","Maynooth University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-05-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/00185590-537e-40e4-969c-039f44b4dad9","10.5285/00185590-537e-40e4-969c-039f44b4dad9","doi:10.5285/00185590-537e-40e4-969c-039f44b4dad9"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises of derived annual statistics for measures of rainfall, streamflow, temperature and stream acidity (pH) for a stream, draining a small, approximately 0.6 square kilometres, upland grassland catchment. The stream, Nant Esgair Garn, drains into the…","state":"published","supplementalDescription":["Website describing the high frequency monitoring being carried out by Lancaster University in the Llyn Brianne catchments, including Nant Esgair Gain.","Website describing the CAPTAIN (Computer-Aided Program for Time-series Analysis and Identification of Noisy Systems Toolbox","Jones, T.D., Chappell, N.A., Tych, W. (2014).  First dynamic model of dissolved organic carbon derived directly from high frequency observations through contiguous storms.  Environmental Science and Technology. 48(22) p. 13289-13297","Jones, T., Chappell, N.A. (2014). Streamflow and hydrogen ion interrelationships identified using data-based mechanistic modelling of high frequency observations through contiguous storms. Hydrology Research Dec 2014, 45 (6) 868-892"],"supplementalName":["SMART Watersheds: Llyn Brianne","CAPTAIN Toolbox"],"temporalExtentText":"Data collected from 1982 to 2013","title":"Derived annual statistics of rainfall, streamflow and acidity for the Nant Esgair Garn catchment, Llyn Brianne, Mid Wales, UK. (1982 to 2012)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Exeter University","University of Illinois at Urbana-Champaign","University of São Paulo","University of Brighton","University of Brasilia"],"authorFamilyName":["Brückner","Aalto","Best","Paes de Almeida","Nicholas","Ashworth","Ianniruberto"],"authorFullName":["Brückner, M.Z.M.","Aalto, R.","Best, J.","Paes de Almeida, R.","Nicholas, A.P.","Ashworth, P.","Ianniruberto, M."],"authorGivenName":["M.Z.M.","R.","J.","A.P.","P.","M."],"authorOrcid":["0000-0002-7954-9586","0000-0003-1503-0141","0000-0001-5314-6140","0000-0003-3664-1558","0000-0002-8713-8656","0000-0002-9642-4857","0000-0002-9056-9668"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile","TIFF"],"description":"These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional area in three 50-120 km long reaches in the Solimoes River presented here as shape-files. Processed Corona imagery 1967 for a 120 km long reach in the Solimoes River shows the banklines and bar outlines. A spreadsheet provides erosional and depositional area at 20-km sections along the 1,600km of the Solimoes River that were based on measuring floodplain width from a digital elevation model (FABDEM). We also attach a GeoTIFF file of the multibeam echo sounder (MBES) data collected during the field campaign in a 20-km long reach in the Solimoes River","documentType":"GEMINI_DOCUMENT","familyName":["Brückner","Aalto","Best","Paes de Almeida","Nicholas","Ashworth","Ianniruberto"],"fullName":["Brückner, M.Z.M.","Aalto, R.","Best, J.","Paes de Almeida, R.","Nicholas, A.P.","Ashworth, P.","Ianniruberto, M."],"funder":["Natural Environment Research Council"],"givenName":["M.Z.M.","R.","J.","A.P.","P.","M."],"grant":["NE/T007478/1"],"identifier":"11786f86-a3ac-45ab-81b5-10fd157e3d7a","incomingCitationCount":0,"keyword":["Brazil","Solimoes River","Hydrology","bank strength","channel erosion and deposition","fluvial morphodynamics"],"keywordsOther":["bank strength","channel erosion and deposition","fluvial morphodynamics"],"keywordsPlace":["Brazil","Solimoes River"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"Field data collection of bank strength and MBES data collection. Conversion of bank strength measurements into kPa using available calibration equations and statistical analysis. MBES data was cleaned and regridded using appropriate software.\nLandsat imagery was downloaded from Google Earth Engine as composite images between 1984-88 and 2019-22 and converted into binary maps of water and dry cells for each period. Small channels and lakes were removed in ArcGIS and split into sections of approximately 20- and 10-km lengths. \nGIS analysis was carried out by downloading shape-files from the Global Water Surface Explorer (https://global-surface-water.appspot.com/) for 1984 and 2019 along both banks of the entire Solimoes River. Net erosional and depositional area was computed as the sum of along 20-km reaches. Association and disassociation with cohesive terraces that determined based on a digital elevation model for 2000 for each reach and bank. \nCorona imagery was purchased and georeferenced using GIS software.\n","locations":["POLYGON((-68.95 -8.668, -68.95 2.372, -57.393 2.372, -57.393 -8.668, -68.95 -8.668))"],"metadataDate":"2026-11-05T13:42:21.000Z","orcid":["0000-0002-7954-9586","0000-0003-1503-0141","0000-0001-5314-6140","0000-0003-3664-1558","0000-0002-8713-8656","0000-0002-9642-4857","0000-0002-9056-9668"],"organisation":["Exeter University","University of Illinois at Urbana-Champaign","University of São Paulo","University of Brighton","University of Brasilia","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2024-04-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/11786f86-a3ac-45ab-81b5-10fd157e3d7a","10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a","doi:10.5285/11786f86-a3ac-45ab-81b5-10fd157e3d7a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional…","state":"published","supplementalName":["Global Surface Water Explorer"],"temporalExtentText":"Data collected from 2022 to 2022","title":"Bank strength measurements in the Amazon River, September to October 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of York"],"authorFamilyName":["Vandenkoornhuyse","Ridgway","Watson","Fitter","Young"],"authorFullName":["Vandenkoornhuyse, P.","Ridgway, K.P.","Watson, I.J.","Fitter, A.H.","Young, J.P.W."],"authorGivenName":["P.","K.P.","I.J.","A.H.","J.P.W."],"authorRor":["https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data comprise arbuscular mycorrhizal (AM) fungi diversity data from Sourhope field experiment site.  AM fungi are biotrophic symbionts colonizing the majority of land plants, and are of major importance in plant nutrient supply.  Using the terminal restriction fragment length polymorphism (T-RFLP) strategy, the diversity of AM fungi was assessed in 89 roots of three grass species (Agrostis capillaris, Festuca rubra, Poa pratensis) that co-occurred in the same plots of the Sourhope field experiment. The impact of different soil amendments (nitrogen, lime, nitrogen and lime) and insecticide application on AM fungal community was also recorded.\n\nData were collected during a project funded under the NERC Soil Biodiversity Programme, established in 1999 and centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Vandenkoornhuyse","Ridgway","Watson","Fitter","Young","Sier"],"fullName":["Vandenkoornhuyse, P.","Ridgway, K.P.","Watson, I.J.","Fitter, A.H.","Young, J.P.W.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["P.","K.P.","I.J.","A.H.","J.P.W.","Andy"],"identifier":"5aa0e9ee-9604-4cba-a1ae-5d6708cf6438","incomingCitationCount":0,"keyword":["Sourhope ","Scottish borders","T-RFLP ","terminal-restriction fragment length polymorphism","AM fungi","Arbuscular mycorrhizal fungi ","biological diversity","fungus"],"keywordsOther":["T-RFLP ","terminal-restriction fragment length polymorphism","AM fungi","Arbuscular mycorrhizal fungi ","biological diversity","fungus"],"keywordsPlace":["Sourhope ","Scottish borders"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963).  Samples were collected by students and staff from the University of York at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.244 55.466, -2.244 55.48, -2.218 55.48, -2.218 55.466, -2.244 55.466))"],"metadataDate":"2026-07-24T23:08:30.000Z","organisation":["University of York","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aa0e9ee-9604-4cba-a1ae-5d6708cf6438","10.5285/5aa0e9ee-9604-4cba-a1ae-5d6708cf6438","doi:10.5285/5aa0e9ee-9604-4cba-a1ae-5d6708cf6438"],"resourceType":"Dataset","ror":["https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data comprise arbuscular mycorrhizal (AM) fungi diversity data from Sourhope field experiment site.  AM fungi are biotrophic symbionts colonizing the majority of land plants, and are of major importance in plant nutrient supply.  Using the terminal restriction…","state":"published","supplementalDescription":["Vandenkoornhuyse, P., Ridgway, K.P., Watson, I.J., Fitter, A.H. and Young, J.P.W., 2003. Co-existing grass species have distinctive arbuscular mycorrhizal communities. Molecular Ecology, 12(11), pp.3085-3095.","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. ","Website for the NERC Soil Biodiversity Programme \n"],"supplementalName":["Soil Biodiversity website"],"temporalExtentText":"Data collected from 2001 to 2001","title":"Arbuscular mycorrhizal fungi diversity data from Sourhope field experiment site, Scotland, 2001 [NERC Soil Biodiversity Programme]","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["American Museum of Natural History","Betty and Gordon Moore Center for Science, Conservation International","Laboratoire des RadioIsotopes-Université d'Antananarivo"],"authorFamilyName":["Horning","Hewson","Razakamanarivo","Andriamananjara","Hary","Ranaivoson","Ramboatiana","Razafindrakoto","Ramifehiarivo","Razafimanantsoa","Rabeharisoa","Rasolohery","Rabetokotany","Razafimbelo"],"authorFullName":["Horning, N.","Hewson, J.","Razakamanarivo, H.","Andriamananjara, A.","Hary, A.R.","Ranaivoson, N.","Ramboatiana, N.","Razafindrakoto, M.","Ramifehiarivo, N.","Razafimanantsoa, M.P.","Rabeharisoa, L.","Rasolohery, A.","Rabetokotany, N.","Razafimbelo, T."],"authorGivenName":["N.","J.","H.","A.","A. R.","M.","M. P.","L.","T."],"authorRor":["https://ror.org/02w4gwv87"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. \n\nThe study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access.   Based on these criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. \n\nThe products were generated as part of a project, 'Can Paying 4 Global Ecosystem Services reduce poverty?' (P4GES), funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme","documentType":"GEMINI_DOCUMENT","familyName":["Horning","Hewson","Razakamanarivo","Andriamananjara","Hary","Ranaivoson","Ramboatiana","Razafindrakoto","Ramifehiarivo","Razafimanantsoa","Rabeharisoa","Rasolohery","Rabetokotany","Razafimbelo"],"fullName":["Horning, N.","Hewson, J.","Razakamanarivo, H.","Andriamananjara, A.","Hary, A.R.","Ranaivoson, N.","Ramboatiana, N.","Razafindrakoto, M.","Ramifehiarivo, N.","Razafimanantsoa, M.P.","Rabeharisoa, L.","Rasolohery, A.","Rabetokotany, N.","Razafimbelo, T."],"givenName":["N.","J.","H.","A.","A. R.","M.","M. P.","L.","T.","Jenny"],"identifier":"9b516d3e-ac72-4453-a6de-b29d2ba2ef4f","incomingCitationCount":0,"keyword":["Madagascar","Corridor Ankeniheny Zahamena"],"keywordsPlace":["Madagascar","Corridor Ankeniheny Zahamena"],"licence":"Open government licence","lineage":"Random forest regression models were used to estimate biomass values for each of the ZOIs. Training data were a number of different biomass plots distributed roughly equal over the four ZOIs, so that most of the variation within the image was captured. These training data are then used to calculate the relationships between segment features and biomass in a random forest regression model. That model is then used to predict biomass estimates for each segment.\n\nThe output is limited to a single predicted biomass image since per-segment prediction confidence metrics are not available.","locations":["POLYGON((48.202 -18.989, 48.202 -17.434, 49.153 -17.434, 49.153 -18.989, 48.202 -18.989))"],"metadataDate":"2026-09-15T08:46:21.000Z","organisation":["American Museum of Natural History","Betty and Gordon Moore Center for Science, Conservation International","Laboratoire des RadioIsotopes-Université d'Antananarivo","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-03-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f","10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f","doi:10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f"],"resourceType":"Dataset","ror":["https://ror.org/02w4gwv87","https://ror.org/04xw4m193"],"shortenedDescription":"The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. \n\nThe study extent aims to capture the drivers of deforestation…","state":"published","title":"Very high resolution derived biomass estimates in the Corridor  Ankeniheny-Zahamena (CAZ), Madagascar","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Hillary","Farkas","Thorpe","Distaso","McDonald","Malham","Jones"],"authorFullName":["Hillary, L.S.","Farkas, K.","Thorpe, J.","Distaso, M.A.","McDonald, J.E.","Malham, S.K.","Jones, D.L."],"authorGivenName":["L.S.","K.","J.","M.A.","J.E.","S.K.","D.L."],"authorOrcid":["0000-0003-0598-2413"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Concentrations of SARS-CoV-2 RNA and physichochemical data on wastewater samples collected from six sites across England and Wales between March and July 2020. Also included are the number of COVID-19 positive tests and COVID-19 related deaths for the same period collated from publicly available records. COVID-19 data relate to the lower tier local authority that the wastewater treatment plant was located within.","documentType":"GEMINI_DOCUMENT","familyName":["Hillary","Farkas","Thorpe","Distaso","McDonald","Malham","Jones"],"fullName":["Hillary, L.S.","Farkas, K.","Thorpe, J.","Distaso, M.A.","McDonald, J.E.","Malham, S.K.","Jones, D.L.","Hillary, L."],"givenName":["L.S.","K.","J.","M.A.","J.E.","S.K.","D.L.","Luke"],"identifier":"ce40e62a-21ae-45b9-ba5b-031639a504f7","incomingCitationCount":0,"keyword":["Wastewater based epidemiology","Sewage survelliance","qPCR","COVID-19","SARS-CoV-2","public health","waste water","epidemiology"],"keywordsOther":["Wastewater based epidemiology","Sewage survelliance","qPCR","COVID-19","SARS-CoV-2","public health","waste water","epidemiology"],"licence":"Open government licence","lineage":"Detailed descriptions of how the data were generated are available in the supporting documentation. All qPCR data are means of two PCR replicates of two extraction replicates (n=4). Positive and negative controls were run alongside each batch of qPCR assays.","locations":["POLYGON((-6.539 49.921, -6.539 55.597, 1.68 55.597, 1.68 49.921, -6.539 49.921))"],"metadataDate":"2026-11-05T14:39:38.000Z","orcid":["0000-0003-0598-2413"],"organisation":["Bangor University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ce40e62a-21ae-45b9-ba5b-031639a504f7","10.5285/ce40e62a-21ae-45b9-ba5b-031639a504f7","doi:10.5285/ce40e62a-21ae-45b9-ba5b-031639a504f7"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/04xw4m193","https://ror.org/006jb1a24"],"shortenedDescription":"Concentrations of SARS-CoV-2 RNA and physichochemical data on wastewater samples collected from six sites across England and Wales between March and July 2020. Also included are the number of COVID-19 positive tests and COVID-19 related deaths for the same period collated…","state":"published","temporalExtentText":"Data collected from 2020 to 2020","title":"SARS-CoV-2 qPCR and water chemistry data from wastewater at six sites in England and Wales between March and July 2020, with associated Covid-19 positive test and related-death data collated from other sources","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Keele University","Butterfly Conservation","Rothamsted Research"],"authorFamilyName":["Harrower","Bell","Botham","Fox","Kruger","Roy","Shortall","Isaac"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Botham, M.S.","Fox, R.","Kruger, T.","Roy, D.B.","Shortall, C.R.","Isaac, N.J.B."],"authorGivenName":["C.A.","J.R.","M.S.","R.","T.","D.B.","C.R.","N.J.B."],"authorOrcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-7175-5393","0000-0002-4869-8052"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00340yn33","https://ror.org/05jg03a59","https://ror.org/0347fy350"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains annual abundance indices and trends in abundance for 477 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2021. The abundance indices are trends calculated using Generalized Abundance Index (GAI) models. The trends are presented as Annual Growth Rates (AGR), and the total percentage changes over the time series for each species are also provided. The indices and trends include 95% confidence limits estimated via bootstrapping. Abundance indices and trends are presented for the entire network of traps across Britain, Ireland, and the Channel Islands, as well as country level analyses for England, Scotland, and Wales.","documentType":"GEMINI_DOCUMENT","familyName":["Harrower","Bell","Botham","Fox","Kruger","Roy","Shortall","Isaac"],"fullName":["Harrower, C.A.","Bell, J.R.","Botham, M.S.","Fox, R.","Kruger, T.","Roy, D.B.","Shortall, C.R.","Isaac, N.J.B."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["C.A.","J.R.","M.S.","R.","T.","D.B.","C.R.","N.J.B."],"identifier":"75161449-1382-42a4-bb91-58835740cc75","incomingCitationCount":0,"keyword":["England","Scotland","Wales","Britain","Ireland","Channel Islands","Biodiversity","moth","moth trends","abundance","Rothamsted"],"keywordsOther":["moth","moth trends","abundance","Rothamsted"],"keywordsPlace":["England","Scotland","Wales","Britain","Ireland","Channel Islands"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Moth count data from the light traps is submitted to Rothamsted Research where it undergoes some standard QA steps to check for species records are appropriate for the site and time of year. The Rothamsted moth count data was used to produce abundance indices and associated trends using Generalised Abundance Index GAI models. The analysis results were reviewed to exclude results for species showing pronounced issues, i.e. where the indices across a significant proportion of the time series had exceptionally wide confidence intervals and or were based on very sparse data.","locations":["POLYGON((-11.938 48.702, -11.938 62.674, 2.549 62.674, 2.549 48.702, -11.938 48.702))"],"metadataDate":"2026-11-05T13:31:16.000Z","orcid":["0000-0001-5070-5293","0000-0003-1640-6120","0000-0002-5276-1405","0000-0001-6992-3522","0000-0002-5147-0331","0000-0002-7175-5393","0000-0002-4869-8052"],"organisation":["UK Centre for Ecology & Hydrology","Keele University","Butterfly Conservation","Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75161449-1382-42a4-bb91-58835740cc75","10.5285/75161449-1382-42a4-bb91-58835740cc75","doi:10.5285/75161449-1382-42a4-bb91-58835740cc75"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/00340yn33","https://ror.org/05jg03a59","https://ror.org/0347fy350","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains annual abundance indices and trends in abundance for 477 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2021. The abundance indices…","state":"published","temporalExtentText":"Data collected from 1968 to 2021","title":"Annual abundance indices and trends for moths in Britain and Ireland from the Rothamsted Insect Survey light-trap network, 1968-2021, including country-level results for England, Scotland and Wales","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service displays existing and potential areas of habitats associated with calcareous, coastal, upland and lowland heath landscapes. The dataset was initially created to provide a sampling framework for a field survey carried out in 1992 and 1993 by the Institute of Terrestrial Ecology (later part of the Centre for Ecology & Hydrology). It was derived from a range of geology, soils, altitude and land cover data.","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C."],"givenName":["Claire"],"identifier":"f7431ee8-9508-4059-ad8b-900ad3c20e17","incomingCitationCount":0,"keyword":["Mapping","Calcareous","Uplands","Lowland heath","Coastal"],"keywordsOther":["Calcareous","Uplands","Lowland heath","Coastal"],"keywordsTheme":["Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-08-12T11:41:42.000Z","organisation":["Environmental Information Data Centre","Centre for Ecology & Hydrology"],"publicationDate":"2017-10-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7431ee8-9508-4059-ad8b-900ad3c20e17"],"resourceType":"Service","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This web map service displays existing and potential areas of habitats associated with calcareous, coastal, upland and lowland heath landscapes. The dataset was initially created to provide a sampling framework for a field survey carried out in 1992 and 1993 by the…","state":"published","temporalExtentText":"Data collected from 1992 to 1993","title":"WMS of spatial masks for calcareous, coastal, upland and lowland heath landscapes in England","topic":["0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Manchester Metropolitan University","Cornell University","Embrapa Amazônia Oriental","Stockholm Environment Institute","University of Oxford","Universidade Estadual Paulista 'Júlio de Mesquita Filho'","Pontifícia Universidade Católica do Rio Grande do Sul","Lancaster University"],"authorFamilyName":["Lees","Moura","Franca","Ferreira","Gardner","Berenguer","Chesini","Andertti","Barlow"],"authorFullName":["Lees, A.","Moura, N.","Franca, F.M.","Ferreira, J.N.","Gardner, T.","Berenguer, E.","Chesini, L.","Andertti, C.","Barlow, J."],"authorGivenName":["A.","N.","F.M.","J.N.","T.","E.","L.","C.","J."],"authorOrcid":["0000-0001-7603-9081","0000-0003-3827-1917","0000-0002-4008-2341","0000-0002-4007-2936","0000-0001-8157-8792","0000-0002-9937-3979","0000-0003-4125-5344","0000-0003-4992-2594"],"authorRor":["https://ror.org/02hstj355","https://ror.org/05bnh6r87","https://ror.org/052gg0110","https://ror.org/025vmq686","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around 6 years before, and one year after the 2015-16 El Niño, respectively) as part of the projects 'Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems' (AFIRE) and 'Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests' (ECOFOR), within the NERC Human-Modified Tropical Forest (HTMF) programme.","documentType":"GEMINI_DOCUMENT","familyName":["Lees","Moura","Franca","Ferreira","Gardner","Berenguer","Chesini","Andertti","Barlow"],"fullName":["Lees, A.","Moura, N.","Franca, F.M.","Ferreira, J.N.","Gardner, T.","Berenguer, E.","Chesini, L.","Andertti, C.","Barlow, J."],"funder":["Natural Environment Research Council"],"givenName":["A.","N.","F.M.","J.N.","T.","E.","L.","C.","J.","Alexander"],"grant":["NE/K016431/1","NE/P004512/1"],"identifier":"4b05caee-a3c8-46a7-b675-e5a94554bd9f","incomingCitationCount":0,"keyword":["Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests (ECOFOR)","Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems (AFIRE) ","Human-Modified Tropical Forest (HTMF) programme","Biodiversity","Climate and climate change","bird","fire","drought"],"keywordsOther":["bird","fire","drought"],"keywordsProject":["Biodiversity and Ecosystem Functioning in degraded and recovering Amazonian and Atlantic Forests (ECOFOR)","Assessing ENSO-induced Fire Impacts in tropical Rainforest Ecosystems (AFIRE) ","Human-Modified Tropical Forest (HTMF) programme"],"keywordsTheme":["Biodiversity","Climate and climate change"],"licence":"Open government licence","lineage":"In 2010 and 2016, bird sampling occurred along 300-m forest plots at the same three sampling points (0, 150 and 300m). All bird species seen or heard were recorded through two repetitions of three 15-min, 75-m fixed-width point counts per plot. Surveys were undertaken between 15 min before dawn and 09:30, only in days without persistent rain and/or strong winds. Point counts were recorded with solid-state recorders. Seasonal and temporal variation in bird vocal activity were minimized by systematically rotating repetitions between catchments and study plots. Datasets were processed by tropical bird specialists, and were then transferred to the programme data manager of the HMTF programme.","locations":["POLYGON((-55 -3.3, -55 -2.3, -54.3 -2.3, -54.3 -3.3, -55 -3.3))"],"metadataDate":"2026-11-05T14:31:32.000Z","orcid":["0000-0001-7603-9081","0000-0003-3827-1917","0000-0002-4008-2341","0000-0002-4007-2936","0000-0001-8157-8792","0000-0002-9937-3979","0000-0003-4125-5344","0000-0003-4992-2594"],"organisation":["Manchester Metropolitan University","Cornell University","Embrapa Amazônia Oriental","Stockholm Environment Institute","University of Oxford","Universidade Estadual Paulista 'Júlio de Mesquita Filho'","Pontifícia Universidade Católica do Rio Grande do Sul","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-12-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b05caee-a3c8-46a7-b675-e5a94554bd9f","10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f","doi:10.5285/4b05caee-a3c8-46a7-b675-e5a94554bd9f"],"resourceType":"Dataset","ror":["https://ror.org/02hstj355","https://ror.org/05bnh6r87","https://ror.org/052gg0110","https://ror.org/025vmq686","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This data set includes longitudinal occurrence of bird species at 36 forest plots – half of which burned during the 2015-16 El Niño drought – distributed across a gradient of prior human disturbance in the Brazilian Amazon. Data was collected in 2010 and 2016 (around…","state":"published","temporalExtentText":"Data collected from 2010 to 2016","title":"Avifauna occurrence data from a longitudinal experiment in human-modified Amazonian forests affected by the 2015-16 El Niño drought and associated fires","topic":["0/Biodiversity/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter"],"authorFamilyName":["Restrepo","Mercado"],"authorFullName":["Restrepo, Z.","Mercado, L.M."],"authorGivenName":["Z.","L.M."],"authorOrcid":["0000-0002-3213-9985","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree diameter at the base, total tree height and height to the first branch, crown diameters, health status, survival and percentage of herbivory attacks over ten measuring campaigns from February 2019 until January 2022.\n\nTrait data includes leaf area, thickness, dry weight, leaf mass per area total number of branches and leaves per tree. 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All trees were tagged and their diameter at 2 cm height was labelled to ensure all posterior measurements were taken at the same stem position. All trees have been watered since planting during dry periods to allow successful plant establishment and avoid water-limitation effects. At each field site, trees were planted in four 600 m2 plots with six blocks within each plot, codified '1' to '6'.  The sixth block was used as a nutrient fertilisation treatment, with monthly additions of N, P, K and secondary and minor elements. Each block contains one tree of each of the fifteen-study species, for a total of 24 trees of each of the fifteen species per site, with 360 trees planted at each site.\n\nTrees were monitored (allometry and leaf structural traits) since they were 18-24 months old from February 2019 until January 2022. A total of ten measuring campaigns were performed for allometry and five for leaf structural traits. 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The data provided here relate to model runs with the JULES Farquhar model, with the Sinclair plant water stress switched on.\n\nThis work was funded by Newton/NERC/FAPESP Nordeste project: NE/N012488/1.","documentType":"GEMINI_DOCUMENT","familyName":["Verhoef","Nobrega","De Moura"],"fullName":["Verhoef, A.","Nobrega, R.L.B.","De Moura, M.S.B."],"funder":["Natural Environment Research Council"],"givenName":["A. ","R.L.B.","M.S.B.","Anne"],"grant":["NE/N012488/1"],"identifier":"ad86c0d3-624c-4ae3-9280-8d1ccbe14929","incomingCitationCount":0,"keyword":["North-East Brazil","Ecohydrology","dryland forest","Caatinga"],"keywordsOther":["Ecohydrology","dryland forest","Caatinga"],"keywordsPlace":["North-East Brazil"],"licence":"Open government licence","lineage":"The main program (in Fortran) reads in the required input data (meteorological data, plant physiological parameters and soil hydraulic parameters) and calls the key subroutines that execute the calculation of the resistance network, fluxes (energy, water and carbon) and above-ground state variables. 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SEcA calculates the ecosystem processes for a semi-arid shrubland system, for this dataset the model has been configured…","state":"published","temporalExtentText":"Data collected from 2011 to 2011","title":"Water and carbon balance outputs of a mechanistic ecosystem model for a Caatinga dryland forest in north-east Brazil","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Sheffield","University of Oxford"],"authorFamilyName":["Hatchwell","Green"],"authorFullName":["Hatchwell, B.J.","Green, J.P."],"authorGivenName":["B.J.","J.P."],"authorOrcid":["0000-0002-1039-4782","0000-0001-8728-2810"],"authorRor":["https://ror.org/05krs5044","https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Dataset comprising data on the lifetime reproductive success (LRS) of 879 individually marked long-tailed tits Aegithalos caudatus, a cooperatively breeding passerine. LRS is measured in terms of the number of local recruits into the breeding population in the study area, controlling for fledgling sex and extra-pair paternity. LRS data are then partitioned into direct and indirect fitness components, quantified as genetic equivalents. Partitioning of fitness follows Hamilton’s definition of inclusive fitness: (a) direct fitness is measured as the production of offspring, stripped of the social effect of helpers on productivity; (b) indirect fitness is calculated from the mean marginal effect of a helper on productivity, adjusted for helper relatedness. Inclusive fitness is calculated by summing direct and indirect fitness.","documentType":"GEMINI_DOCUMENT","familyName":["Hatchwell","Green"],"fullName":["Hatchwell, B.J.","Green, J.P."],"funder":["Natural Environment Research Council"],"givenName":["B.J.","J.P."],"grant":["NE/R001669/1"],"identifier":"0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac","incomingCitationCount":0,"keyword":["long-tailed tit","Aegithalos caudatus","lifetime reproductive success","inclusive fitness","indirect fitness","direct fitness"],"keywordsOther":["long-tailed tit","Aegithalos caudatus","lifetime reproductive success","inclusive fitness","indirect fitness","direct fitness"],"licence":"Open government licence","lineage":"Data was collected following systematic fieldwork protocols from 1994 to 2019. We studied a colour ringed population of 17-72pairs of long-tailed tits from 1994 to 2019 in an approximately 2.5 km2 section of the Rivelin Valley (53°23’N, 1°34’W), Sheffield, UK. The breeding attempts of all individuals in our study population were monitored closely throughout the breeding season. Nests were found by following pairs and subsequently monitored closely (at approximately 2-4 day intervals until they failed or broods fledged. It is estimated that more than 95% of nests within the study site are found each year with undetected nesting attempts typically failing early in the breeding cycle. Life history traits including timing of breeding (i.e. dates of laying, incubation, hatching and fledging, typically recorded ± 1 day), clutch size (n eggs), brood size (n nestlings), and the identity of parents and helpers were recorded. Nestlings in accessible nests were ringed with a unique colour-ring combination and with a British Trust for Ornithology (BTO) ring when 11 days old, and we sexed each individual using molecular techniques from blood samples taken by brachial venepuncture (under Home Office licence). More than 95% of all adults are ringed by the end of each breeding season with a BTO ring and a unique combination of two colour rings. Survival of offspring to 1 year of age was assessed from recruitment into the study population. Some birds (especially females) disperse beyond the boundaries of the study site, but we assume that local recruitment is proportional to brood productivity. We also assume that breeders that disappear from the study site are dead, an assumption validated by a high resighting probability of marked birds. Life history data are entered into an excel spreadsheet on the day of data collection, supervised by Hatchwell. At the end of each season, data are entered into a bespoke Access database that is designed to identify errors of individual identification, timing of events and magnitude of input variables. The dataset provided to the data centre uses data extracted directly from the Access database that has been subjected to quality control at the time of data collection and entry, and by the design of the database itself. See supporting documentation for method for generation of direct, indirect and inclusive fitness data.","locations":["POLYGON((-1.593 53.375, -1.593 53.393, -1.511 53.393, -1.511 53.375, -1.593 53.375))"],"metadataDate":"2026-11-05T14:30:30.000Z","orcid":["0000-0002-1039-4782","0000-0001-8728-2810"],"organisation":["University of Sheffield","University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac","10.5285/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac","doi:10.5285/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac"],"resourceType":"Dataset","rightsHolder":["University of Sheffield"],"ror":["https://ror.org/05krs5044","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"Dataset comprising data on the lifetime reproductive success (LRS) of 879 individually marked long-tailed tits Aegithalos caudatus, a cooperatively breeding passerine. LRS is measured in terms of the number of local recruits into the breeding population in the study…","state":"published","temporalExtentText":"Data collected from 1994 to 2019","title":"Lifetime reproductive success and fitness estimates of long-tailed tits in the Rivelin Valley, Sheffield, UK, from 1994-2019","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Oxford","Ludwig-Maximilians-Universität München"],"authorFamilyName":["Larson","Frantz"],"authorFullName":["Larson, G.","Frantz, L."],"authorGivenName":["G.","L."],"authorOrcid":["0000-0002-4092-0392","0000-0001-8030-3885"],"authorRor":["https://ror.org/052gg0110","https://ror.org/05591te55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains information on the age of Sus scrofa (pig) bones and teeth from archaeological sites in the Philippines and the Pacific Islands as estimated by AMS radiocarbon dating. Samples were selected for radiocarbon dating and palaeogenomic analysis from the following archaeological sites in the Philippines and Pacific Islands (Palau): Pamayan (Philippines), Savidug (Philippines) and Uchul a Rois (Palau). Radiocarbon dating was carried out at the Oxford Radiocarbon Accelerator Unit following published protocols. This work was supported by NERC grant NE/S00078X/1.","documentType":"GEMINI_DOCUMENT","familyName":["Larson","Frantz"],"fullName":["Larson, G.","Frantz, L."],"funder":["Natural Environment Research Council"],"givenName":["G.","L."],"grant":["NE/S00078X/1"],"identifier":"3187bfa1-6346-4569-9062-b5414ec1dd62","incomingCitationCount":0,"keyword":["Philippines","Palau","archaeology","radiocarbon dating","Sus scrofa","Southeast Asia","Pacific"],"keywordsOther":["archaeology","radiocarbon dating","Sus scrofa","Southeast Asia","Pacific"],"keywordsPlace":["Philippines","Palau"],"licence":"Non-Open government licence","lineage":"Bone and tooth samples were collected by collaborating archaeologists and sent to the PalaeoBARN for analyses: \n●\tUchul A Rois, Palau (site date range: 900-1450 AD)\n●\tPamayan, Philippines (site date range: 1420–1630 AD)\n●\tSavidug Dune Site, Philippines (600-1000 BP)\nFollowing aDNA analysis, samples were submitted to the Oxford Radiocarbon Accelerator Unit for dating analysis.\n","locations":["POLYGON((121.836 7.334, 121.836 20.324, 134.491 20.324, 134.491 7.334, 121.836 7.334))"],"metadataDate":"2026-11-05T13:25:34.000Z","orcid":["0000-0002-4092-0392","0000-0001-8030-3885"],"organisation":["University of Oxford","Ludwig-Maximilians-Universität München","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3187bfa1-6346-4569-9062-b5414ec1dd62","10.5285/3187bfa1-6346-4569-9062-b5414ec1dd62","doi:10.5285/3187bfa1-6346-4569-9062-b5414ec1dd62"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/05591te55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains information on the age of Sus scrofa (pig) bones and teeth from archaeological sites in the Philippines and the Pacific Islands as estimated by AMS radiocarbon dating. Samples were selected for radiocarbon dating and palaeogenomic analysis from…","state":"published","title":"Radiocarbon dating of Sus scrofa (pig) remains from archaeological sites in the Philippines and Pacific Islands","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Edinburgh","Scotland’s Rural College"],"authorFamilyName":["Pickard","Skiba","Carvalho","Brown","Heal","Rees","Harley"],"authorFullName":["Pickard, A.E.","Skiba, U.M.","Carvalho, L.","Brown, A.M.","Heal, K.V.","Rees, R.M.","Harley, J.F."],"authorGivenName":["A.E.","U.M.","L.","A.M.","K.V.","R.M.","J.F."],"authorOrcid":["0000-0003-1069-3720","0000-0001-8659-6092","0000-0002-9768-9902","0000-0002-1019-748X","0000-0003-1348-8693"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign. Data were obtained either via direct, field-based measurements, or via subsequent sample processing and analysis in laboratories at UKCEH Edinburgh.","documentType":"GEMINI_DOCUMENT","familyName":["Pickard","Skiba","Carvalho","Brown","Heal","Rees","Harley"],"fullName":["Pickard, A.E.","Skiba, U.M.","Carvalho, L.","Brown, A.M.","Heal, K.V.","Rees, R.M.","Harley, J.F.","Pickard, A."],"givenName":["A.E.","U.M.","L.","A.M.","K.V.","R.M.","J.F.","Amy "],"identifier":"ec78b74e-631d-4bef-8c28-618b4dc0fffd","incomingCitationCount":1,"keyword":["River Tay","greenhouse gas","biogeochemistry","estuarine ecosystem"],"keywordsOther":["greenhouse gas","biogeochemistry","estuarine ecosystem"],"keywordsPlace":["River Tay"],"licence":"Open government licence","lineage":"All data were generated by the authors. During the generation of chemical data, calibration standards of known concentrations were used for quality control of instrument outputs and sample concentrations fell within the calibration range.","locations":["POLYGON((-3.518 56.331, -3.518 56.497, -2.677 56.497, -2.677 56.331, -3.518 56.331))"],"metadataDate":"2026-11-05T13:26:43.000Z","orcid":["0000-0003-1069-3720","0000-0001-8659-6092","0000-0002-9768-9902","0000-0002-1019-748X","0000-0003-1348-8693"],"organisation":["UK Centre for Ecology & Hydrology","University of Edinburgh","Scotland’s Rural College","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ec78b74e-631d-4bef-8c28-618b4dc0fffd","10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd","doi:10.5285/ec78b74e-631d-4bef-8c28-618b4dc0fffd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/044e2ja82","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains dissolved greenhouse gas and water chemistry data collected across 12 axial surveys of the Tay estuary, Scotland, starting in April 2009 and ending in July 2011. Ten fixed sampling points on the estuary were surveyed on each boat based campaign.…","state":"published","temporalExtentText":"Data collected from 2009 to 2011","title":"Greenhouse gas and water chemistry data measured across the Tay estuary, Scotland, from 2009-2011","version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}