{"numFound":174,"page":1,"rows":20,"url":"http://catalogue.ceh.ac.uk/eidc/documents?facet=recordType%7CDataset&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F&facet=resourceStatus%7CAvailable","nextPage":"http://catalogue.ceh.ac.uk/eidc/documents?page=2&facet=recordType%7CDataset&facet=topic%7C0%2FModelling%2F&facet=topic%7C0%2FHydrology%2F&facet=resourceStatus%7CAvailable","results":[{"publicationDate":"2024-09-20T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology","Department of Regional Development, Manufacturing and Water, Queensland Government"],"authorGivenName":["N.","M."],"authorFamilyName":["Everard","Randall"],"authorFullName":["Everard, N.","Randall, M."],"authorOrcid":["https://orcid.org/0000-0002-9936-9902"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/037405308"],"catalogue":"eidc","description":"The dataset is a collection of drone videos collected to calculate surface water flow speeds (velocity) in order to provide field validation of flow speeds calculated from satellite-derived video for the FluViSat project (Hydrological Flow Measurement from Satellite Video). \n\nThe videos were taken using standard, unmodified DJI-Air2S camera drones on four rivers across England, Australia, Switzerland, and Japan and one tidal site in Scotland. Each video is at least 20-seconds in length, with minimum resolution of 1920 x 1080 pixels. The videos are taken at nadir angle with the drone stationary above a fixed point in the centre of the river. As such a viewer can clearly observe the surface of the water in these videos. These videos were used to provide a very effective validation dataset for the satellite derived videos. \n\nVideos were collected on the following dates and when the site was in the following conditions:\n\n-\tBurdekin River, Australia – 7th and 8th January and 18th May. River in high flow conditions.\n-\tRiver Tweed, Norham, England – 15th March. River at medium flows. \n-\tFalls of Lora, Connel, Scotland – 16th and 18th March and 14th, 15th, and 16th July. Tidal race captured at various flow conditions.\n-\tUono River, Negoya, Japan – 10th May. River at medium-high flows.\n-\tRiver Rhine at Rhine Falls, Switzerland – 18th August. River at low to medium flows.\n\nThis work was carried out under the Future-EO-1 EO Science for Society, and funded by, the European Space Agency.","documentType":"GEMINI_DOCUMENT","funder":["European Space Agency"],"identifier":"d62347ba-0173-4857-b3fc-b7238988f0d8","incomingCitationCount":0,"givenName":["N.","M."],"familyName":["Everard","Randall"],"fullName":["Everard, N.","Randall, M."],"keyword":["DJI Air2S Camera Drone","Burdekin River, Australia","Uono River, Japan","River Rhine, Switzerland","River Tweed, UK","FluViSat","Hydrology","video","river","stream flow"],"keywordsInstrument":["DJI Air2S Camera Drone"],"keywordsPlace":["Burdekin River, Australia","Uono River, Japan","River Rhine, Switzerland","River Tweed, UK"],"keywordsProject":["FluViSat"],"keywordsTheme":["Hydrology"],"keywordsOther":["video","river","stream flow"],"licence":"Open government licence","lineage":"DJI Air2S drones, which are off-the-shelf consumer drones in the sub 2kg category, were used to collect all these videos.\n\nPrior to the flight the operator ensured that the camera’s resolution was set to at least 1920 x 1080 pixels and that the ISO, white balance was set to optimise for lighting conditions to maximise the visibility of surface tracers. \n\nThe operator stood (safely) by the river’s edge and manoeuvred the drone over the point of interest. The drone’s camera was then positioned in a nadir view and the video captured. This was repeated along a few points within the area of interest that the satellite video would cover to obtain multiple videos in which surface tracers/features were visible on the surface of the water.  These tracers were used to calculate velocity of the surface from both the drone and satellite videos at a later stage.\n\nThe drone’s GPS and optical positioning sensors and 3-axis gimbal ensure that the imaged area remains stable, and an mp4 file is stored on a MicroSD card onboard the drone. An accompanying SRT file (a Subtitle file) captures flight information, the most useful being latitude, longitude, and altitude. This was enabled for all videos captured in the UK and has been provided with the mp4 videos.  ","orcid":["https://orcid.org/0000-0002-9936-9902"],"organisation":["UK Centre for Ecology & Hydrology","Department of Regional Development, Manufacturing and Water, Queensland Government","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d62347ba-0173-4857-b3fc-b7238988f0d8","10.5285/d62347ba-0173-4857-b3fc-b7238988f0d8"],"resourceStatus":"Available","resourceType":"Non-geographic dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/037405308","https://ror.org/04xw4m193"],"state":"published","title":"Drone footage of the water surface of four rivers and one tidal site in a range of flow conditions in the UK, Australia, Switzerland and Japan, 2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","rafbar"],"shortenedDescription":"The dataset is a collection of drone videos collected to calculate surface water flow speeds (velocity) in order to provide field validation of flow speeds calculated from satellite-derived video for the FluViSat project (Hydrological Flow Measurement from Satellite..."},{"publicationDate":"2022-10-11T00:00:00.000+00:00","authorAffiliation":["University of Exeter","University of Melbourne"],"authorGivenName":["E.","K.","G.","A.B.","T.","Z.","M.","T.M."],"authorFamilyName":["Littleton","Dooley","Webb","Harper","Powell","Nicholls","Meinshausen","Lenton"],"authorFullName":["Littleton, E.","Dooley, K.","Webb, G.","Harper, A.B.","Powell, T.","Nicholls, Z.","Meinshausen, M.","Lenton, T.M."],"authorOrcid":["https://orcid.org/0000-0001-5576-5498","https://orcid.org/0000-0001-5636-6691","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-4767-2723","https://orcid.org/0000-0003-4048-3521","https://orcid.org/0000-0002-6725-7498"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/01ej9dk98"],"catalogue":"eidc","description":"The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage and forest density during the 21st century. \n\nA historical simulation covering 1880-2000 is included, followed by seven future simulations for the main simulation period of 2001-2100. This is followed by an extended run for 50 further years based on 2090s climate.\n\nDriven by Representative Concentration Pathway (RCP2.6) climatology at N96 resolution (1.25 deg latitude, 1.875 deg longitude).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/P019951/1"],"identifier":"6683abd8-1368-495c-9eb3-726c6c559e7e","incomingCitationCount":0,"givenName":["E.","K.","G.","A.B.","T.","Z.","M.","T.M."],"familyName":["Littleton","Dooley","Webb","Harper","Powell","Nicholls","Meinshausen","Lenton"],"fullName":["Littleton, E.","Dooley, K.","Webb, G.","Harper, A.B.","Powell, T.","Nicholls, Z.","Meinshausen, M.","Lenton, T.M."],"keyword":["Modelling","Climate and climate change","ecosystem restoration","land based mitigation","natural climate solutions","dynamic global vegetation modelling","agroforestry","reforestation","forest management","restoration","nature-based solution","modelling","soil"],"keywordsTheme":["Modelling","Climate and climate change"],"keywordsOther":["ecosystem restoration","land based mitigation","natural climate solutions","dynamic global vegetation modelling","agroforestry","reforestation","forest management","restoration","nature-based solution","modelling","soil"],"licence":"Open government licence","lineage":"The data are model output produced for the purpose of quantifying carbon sequestration potential of reforestation, forest restoration and agroforestry. Output by the JULES model, raw netCDF output, driven with climate from RCP2.6.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0001-5576-5498","https://orcid.org/0000-0001-5636-6691","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-4767-2723","https://orcid.org/0000-0003-4048-3521","https://orcid.org/0000-0002-6725-7498"],"organisation":["University of Exeter","University of Melbourne","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6683abd8-1368-495c-9eb3-726c6c559e7e","10.5285/6683abd8-1368-495c-9eb3-726c6c559e7e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/01ej9dk98","https://ror.org/04xw4m193"],"state":"published","title":"Vegetation cover, vegetation carbon content and soil carbon content under five ecosystem restoration pathways for the 21st century modelled using JULES","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"The data are fractional coverage of plant functional/surface types, carbon content in vegetation, carbon content in soil. The data are the result of simulations conducted in the JULES land surface model, of several complementary pathways for increasing forest coverage..."},{"publicationDate":"2018-11-16T00:00:00.000+00:00","authorAffiliation":["University of Glasgow","University of Stirling"],"authorGivenName":["Y.","L.A.","S.","D.M."],"authorFamilyName":["Zheng","Naylor","Waldron","Oliver"],"authorFullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"authorOrcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59"],"catalogue":"eidc","description":"Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus .  Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication during the searched years for each country (top 20), in Scopus, the total amount of KM publication during the searched years for each country (top 20), information about the retained KM publication for environmental management in China.\n\nThe data were generated during the NERC grant 'The transmissive critical zone: understanding the karst hydrology-biogeochemical interface for sustainable management' reference NE/N007425/1 undertaken as part of the NERC Using Critical Zone Science to Understand Sustaining the Ecosystem Service of Soil & Water (CZO) programme.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/N007425/1"],"identifier":"9bbcbd03-0b6d-409d-9ad1-650c25f5ac73","incomingCitationCount":0,"givenName":["Ying","Y.","L.A.","S.","D.M."],"familyName":["Zheng","Naylor","Waldron","Oliver"],"fullName":["Zheng, Y.","Naylor, L.A.","Waldron, S.","Oliver, D.M."],"keyword":["CZO","Ecosystem services","Hydrology","Water quality","Soil","critical zone","red soil","knowledge exchange","karst","soil","literature study"],"keywordsProject":["CZO"],"keywordsTheme":["Ecosystem services","Hydrology","Water quality","Soil"],"keywordsOther":["critical zone","red soil","knowledge exchange","karst","soil","literature study"],"licence":"Open government licence","lineage":"\nA reverse search of the retrained articles was conducted to search the reference list of the retained studies, but none included any of the keywords in our criteria. Finally, the retrieved articles were read and analysed to determine which fields of environmental management had published on their KE practice in China by December 2017.","locations":["POLYGON((73.442 17.682, 73.442 53.664, 135.538 53.664, 135.538 17.682, 73.442 17.682))"],"orcid":["https://orcid.org/0000-0002-7913-8234","https://orcid.org/0000-0002-4065-2674","https://orcid.org/0000-0002-2683-0761","https://orcid.org/0000-0002-6200-562X"],"organisation":["University of Glasgow","University of Stirling","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73","10.5285/9bbcbd03-0b6d-409d-9ad1-650c25f5ac73"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"state":"published","title":"Literature review of knowledge management across the environment-policy interface in China","topic":["0/Ecosystem services/","0/Hydrology/","0/Water quality/","0/Soil/"],"version":1.0,"view":["public","phtr"],"shortenedDescription":"Data from literature search systematically conducted using two widely-used academic databases: Web of Science (WoS) and Scopus .  Data include the annual amount of KM publication in China and across the world, in WoS, the total amount of knowledge management (KM) publication..."},{"publicationDate":"2022-10-18T00:00:00.000+00:00","authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorGivenName":["L.","J.","K.N."],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"catalogue":"eidc","description":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"givenName":["L.","J.","K.N."],"familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","Hydrology"],"keywordsOther":["flood","hydrology"],"licence":"Open government licence","lineage":"Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.","locations":["POLYGON((101.831 8.186, 101.831 23.554, 110.752 23.554, 110.752 8.186, 101.831 8.186))"],"orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)","Fathom","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"state":"published","supplementalName":["Sampson et al ","Neal et al ","Hawker et al "],"title":"Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","margla"],"shortenedDescription":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000..."},{"publicationDate":"2024-04-09T00:00:00.000+00:00","authorAffiliation":["Lancaster University"],"authorGivenName":["Nick A.","K.J.","P.","B."],"authorFamilyName":["Chappell","Beven","Smith","Hankin"],"authorFullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"authorOrcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0001-7465-3934","https://orcid.org/0000-0002-0034-3412","https://orcid.org/0000-0001-7315-3321"],"authorRor":["https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge River Kent measured at the Environment Agency (EA) Sedgwick gauging station (https://nrfa.ceh.ac.uk/data/station/info/73005) through the 1 Oct 2015 to 17 Jan 2016 period were modelled using the latest version of Lancaster University’s Dynamic TOPMODEL (https://cran.r-project.org/web//packages/dynatop/index.html). \n\nThe spatially distributed rainfall field used as input to TOPMODEL was derived from a new direction-dependent and topographically controlled interpolation using observed rainfall data for the Cumbrian Mountains (Page et al., 2022. Hydrological Processes 36: e14758, https://doi.org/10.1002/hyp.14758). \n\nLack of perfect understanding of the hydrological processes routing rainfall for stream channels and then along stream channels to the Sedgwick gauge was represented by using a very wide range of model parameters applied randomly within 10,000 simulations. Using the approach detailed in Beven et al. (2022a. Hydrological Processes 36(10): e14703, https://doi.org/10.1002/hyp.14703), the resultant wide range of simulated discharge time-series was reduced by rejecting all but 67 simulations that passed the prescribed criteria. These 67 baseline simulations of observed behaviour through the +3 month period at Sedgwick are presented here.\n\nTo represent the effect of adding surface storage distributed across this 209 sq km River Kent catchment, the Digital Elevation Model (DEM) used in the baseline simulations according to Hankin et al (2018. Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk) to represent bunds placed on hillslopes in rural areas. The bunds are a type of flood mitigation measure known as Natural Flood Management or NFM. These are known formally as ‘Enhanced Hillslope Storage’ or EHS features (Beven et al 2022b. Hydrological Processes 36: e14752, https://doi.org/10.1002/hyp.14752). The TOPMODEL parameter sets producing the 67 ‘acceptable’ baseline simulations were then re-run with the modified DEM. These results are also presented here.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R004722/1"],"identifier":"af081a90-b014-43f7-9399-c948a8b7672f","incomingCitationCount":0,"givenName":["Nick A.","K.J.","P.","B.","Nick A"],"familyName":["Chappell","Beven","Smith","Hankin"],"fullName":["Chappell, N.A.","Beven, K.J.","Smith, P.","Hankin, B."],"keyword":["River Kent","Cumbria","Hydrology","Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management","NFM","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["River Kent","Cumbria"],"keywordsTheme":["Hydrology"],"keywordsOther":["Q-NFM","Dynamic TOPMODEL","distributed model","uncertainty","natural flood management","NFM","NbS","flood","resilience","model","hydrograph","storm","condition tree","parsimony","Monte Carlo","simulation","river discharge","flood risk management","nature-based solution","runoff","rainfall","atmospheric precipitation"],"licence":"Non-Open government licence","lineage":"The simulations were performed with the latest version of Lancaster University’s distributed catchment model called ‘Dynamic TOPMODEL’. Version 0.2.1 and this is publicly available at: \nhttps://cran.r-project.org/web//packages/dynatop/index.html \n\nDynamic TOPMODEL was used to assess change in flood peaks associated with Natural Flood Management (NFM) by refining the baseline results according to a Condition Tree Approach, where the first step is the choice of model, in this case Dynamic TOPMODEL. \n\nThe second step is establishing a prior range of model parameters (see Table 1 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). \n\nThe third step is the initial sampling strategy of Monte Carlo sampling of prior parameter distributions assuming independent uniform distributions. This gave 100,000 simulated river discharge datasets for the before (baseline) and post-intervention (Enhanced Hillslope Storage) simulations. \n\nThe fourth step was to apply the Limits of Acceptability criteria determined from 2.5 to 97.5 quantiles of distributions of runoff coefficients from past events. These were applied to ranked hydrograph time steps for period in 2015 (Table 1 in Beven et al., 2022b, https://doi.org/10.1002/hyp.14703) including the largest flood on record, with additional timing constraint of ± 2 h. This gave 3249 surviving river discharge datasets for each scenario. \n\nThe fifth step was to undertake additional evaluation of flood peaks, where Limits of acceptability approach was applied ranked hydrograph time steps in 2005 and 2009 (as set out in Table 2 in Beven et al., 2022, https://doi.org/10.1002/hyp.14752). This gave 118 surviving river discharge datasets for each scenario. \n\nLastly, step six, the valuation of areas producing saturation excess overland flow was applied. Here simulations producing less than 10% of the area with surface storage greater than 1 mm at any time step additionally rejected. This gave 67 surviving river discharge datasets for each scenario. These 67 results are those presented in this shared dataset.\n\nFor the NFM scenario, the location of the Enhanced Hillslope Storage features across the modelled River Kent catchment was based on the publically available WwNP (Working with Natural Processes) dataset (Hankin et al., 2018 Technical report SC150005/R6. Environment Agency, Bristol. 77pp, https://www.gov.uk/flood-and-coastal-erosion-risk-management-research-reports/working-with-natural-processes-to-reduce-flood-risk). For the simulations presented in this NFM-scenario dataset, each bund feature was modelled with a residence time of 10 hours.\n","locations":["POLYGON((-3.168 54.038, -3.168 54.456, -2.642 54.456, -2.642 54.038, -3.168 54.038))"],"orcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0001-7465-3934","https://orcid.org/0000-0002-0034-3412","https://orcid.org/0000-0001-7315-3321"],"organisation":["Lancaster University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/af081a90-b014-43f7-9399-c948a8b7672f","10.5285/af081a90-b014-43f7-9399-c948a8b7672f"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Simulated 15-min discharge time-series and baseline simulations for the River Kent following a Natural Flood Management intervention of 'Enhanced Hillslope Storage', Sedgewick, October 2015 to January 2016","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"],"shortenedDescription":"Simulated 15-min discharge time-series (1/10/2015-17/1/2016) for the River Kent at Sedgwick following a Natural Flood Management intervention of ‘Enhanced Hillslope Storage’ plus the baseline simulations are presented.\n\nTo derive these data, the observed 15-minute discharge..."},{"publicationDate":"2010-06-18T00:00:00.000+00:00","catalogue":"eidc","description":"Spot heights (elevation values in metres) for areas within the Plynlimon catchments; digitised from scanned topographic maps of Plynlimon Catchment Areas.","documentType":"GEMINI_DOCUMENT","identifier":"0f78563c-f678-41ec-aed7-7103a363a939","incomingCitationCount":0,"givenName":["Matt"],"familyName":["Fry"],"fullName":["Fry, M."],"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Mapping","Water quality","Hydrology","hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsTheme":["Mapping","Water quality","Hydrology"],"keywordsOther":["hydrochemistry"],"licence":"Non-Open government licence","lineage":"The spot heights have been digitised from scanned topographic maps from Plynlimon Catchment Areas. \n\nThe topographic maps references are: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas. Sheet No. 1. Scale 1:10000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968.","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["1364220637535","https://catalogue.ceh.ac.uk/id/0f78563c-f678-41ec-aed7-7103a363a939"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Plynlimon research catchments: spot heights","topic":["0/Mapping/","0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"Spot heights (elevation values in metres) for areas within the Plynlimon catchments; digitised from scanned topographic maps of Plynlimon Catchment Areas."},{"publicationDate":"2024-08-19T00:00:00.000+00:00","authorAffiliation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research"],"authorGivenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"authorFamilyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"authorFullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"authorOrcid":["https://orcid.org/0000-0001-6498-043X","https://orcid.org/0000-0001-6855-9562","https://orcid.org/0000-0001-5732-8080","https://orcid.org/0000-0001-7375-1460","https://orcid.org/0000-0001-8778-4394","https://orcid.org/0000-0003-1519-3442","https://orcid.org/0000-0002-5896-756X","https://orcid.org/0000-0001-5390-9136","https://orcid.org/0000-0002-2989-2001","https://orcid.org/0000-0001-9514-7053"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696"],"catalogue":"eidc","description":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017.  Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population).  \n\nPlease see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S002847/1"],"identifier":"710fc65c-87eb-4932-9d8e-dc8328742232","incomingCitationCount":0,"givenName":["P.G.","L.","G.","H.E.","S.E.","R.","H.","C.","V."],"familyName":["Whitehead","Jin","Bussi","Voepel","Darby","Vasilopoulos","Manley","Rodda","Hutton","Hackney","Pham Dang Tri","Nguyen Nghia"],"fullName":["Whitehead, P.G.","Jin, L.","Bussi, G.","Voepel, H.E.","Darby, S.E.","Vasilopoulos, G.","Manley, R.","Rodda, H.","Hutton, C.","Hackney, C.","Pham Dang Tri, V.","Nguyen Nghia, H."],"keyword":["Mekong River Basin","sediment","soil nutrients","water quality","rice agriculture","nitrate","phosphorous","Hydrology","phosphorus"],"keywordsTheme":["Hydrology"],"keywordsOther":["sediment","rice agriculture","water quality","nitrate","phosphorus","soil nutrients"],"licence":"Open government licence","lineage":"Data are modelled outputs from the integrated catchment (INCA) models, INCA-N for nitrate related water quality, and INCA-P for phosphorus related water quality.  Please see supporting documentation for details.  ","locations":["POLYGON((95.591 8.446, 95.591 34.191, 109.447 34.191, 109.447 8.446, 95.591 8.446))"],"orcid":["https://orcid.org/0000-0001-6498-043X","https://orcid.org/0000-0001-6855-9562","https://orcid.org/0000-0001-5732-8080","https://orcid.org/0000-0001-7375-1460","https://orcid.org/0000-0001-8778-4394","https://orcid.org/0000-0003-1519-3442","https://orcid.org/0000-0002-5896-756X","https://orcid.org/0000-0001-5390-9136","https://orcid.org/0000-0002-2989-2001","https://orcid.org/0000-0001-9514-7053"],"organisation":["University of Southampton","SUNY Cortland","University of Oxford","Water Resources Associates","University of Hull","Can Tho University","Southern Institute of Water Resources Research","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/710fc65c-87eb-4932-9d8e-dc8328742232","10.5285/710fc65c-87eb-4932-9d8e-dc8328742232"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Southampton","University of Oxford"],"ror":["https://ror.org/01ryk1543","https://ror.org/05a4pj207","https://ror.org/052gg0110","https://ror.org/04nkhwh30","https://ror.org/0071qz696","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Whitehead, P.G., Jin, L., Bussi, G., Voepel, H.E., Darby, S.E., Vasilopoulos, G., Manley, R., Rodda, H., Hutton, C., Hackney, C., Pham Dang Tri, V., & Hung, N.N. (2019). Water quality modelling of the Mekong River basin: Climate change and socioeconomics drive flow and nutrient flux changes to the Mekong Delta. Science of The Total Environment, 673, 218-229"],"title":"Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model","topic":["0/Hydrology/"],"version":1.0,"view":["public","dgwr"],"shortenedDescription":"Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin.  Baseline models for P and N were calibrated over 1998 to 2017...."},{"publicationDate":"2016-02-04T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["L.","M.","S.","P.A."],"authorFamilyName":["Norton","Dunbar","Greene","Scholefield"],"authorFullName":["Norton, L.","Dunbar, M.","Greene, S.","Scholefield, P.A."],"authorOrcid":["https://orcid.org/0000-0003-2974-6431"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"Data consist of modelled estimates of observed/expected Biological Monitoring Working Party (an index for measuring the biological quality of rivers using selected families of macroinvertebrates as biological indicators) scores for freshwater streams across Great Britain (GB). The BMWP scores (1-10) are based on the principle that macroinvertebrates differ in their perceived sensitivity or tolerance to organic pollution (i.e. nutrient enrichment). Values greater than 1 indicate high water quality. Data pooled across two survey years (1998 and 2007) was used to model the relationships between headwater stream quality and catchment/stream characteristics for headwater streams across GB based on known relationships for headwater streams in Countryside Survey squares. Modelled estimates of stream water quality were based on a Boosted Regression Tree modelling approach .","documentType":"GEMINI_DOCUMENT","identifier":"85e7beb6-e031-4397-a090-841b8c907d1b","incomingCitationCount":0,"givenName":["Lisa","L.","M.","S.","P.A."],"familyName":["Norton","Dunbar","Greene","Scholefield"],"fullName":["Norton, L.","Dunbar, M.","Greene, S.","Scholefield, P.A."],"keyword":["GB","Modelling","modelled","water quality","Countryside Survey","headwater streams"],"keywordsPlace":["GB"],"keywordsTheme":["Modelling"],"keywordsOther":["modelled","water quality","Countryside Survey","headwater streams"],"licence":"Open government licence","lineage":"This national model was developed following initial work under the Countryside Survey Integrated Assessment which investigated the relationships between water quality and the characteristics of the 1km squares in which they were located.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0003-2974-6431"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","Natural England"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/85e7beb6-e031-4397-a090-841b8c907d1b","10.5285/85e7beb6-e031-4397-a090-841b8c907d1b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Natural England"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00r66pz14"],"state":"published","title":"Headwater stream quality for Britain","topic":["0/Modelling/"],"version":1.0,"view":["public","dgwr"],"shortenedDescription":"Data consist of modelled estimates of observed/expected Biological Monitoring Working Party (an index for measuring the biological quality of rivers using selected families of macroinvertebrates as biological indicators) scores for freshwater streams across Great Britain..."},{"publicationDate":"2018-02-16T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["S."],"authorFamilyName":["Rennie"],"authorFullName":["Rennie, S."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains daily water discharge data from Trout Beck in the Moor House-Upper Teesdale National Nature Reserve in the northern Pennines, Cumbria, UK.   \n Data were automatically recorded at a gauging station located on a weir on the Trout Beck and collated by a variety of staff at the Moor House Research Station on behalf of the Wear and Tees River Board and the National Rivers Authority. ","documentType":"GEMINI_DOCUMENT","identifier":"9e044339-dd06-4f69-b93c-40a79562931c","incomingCitationCount":0,"givenName":["S."],"familyName":["Rennie"],"fullName":["Rennie, S."],"keyword":["Moor House - Upper Teesdale National Nature Reserve","Trout Beck","Northern Pennines","TIGER","Terrestrial Initiative in Global Environmental Research","Hydrology","Discharge","Gauging station","Weir","hydrology","freshwater","flow"],"keywordsPlace":["Moor House - Upper Teesdale National Nature Reserve","Trout Beck","Northern Pennines"],"keywordsProject":["TIGER","Terrestrial Initiative in Global Environmental Research"],"keywordsTheme":["Hydrology"],"keywordsOther":["Discharge","Gauging station","Weir","hydrology","freshwater","flow"],"licence":"Open government licence","lineage":"These data were collected by variety of staff at the Moor House Research Station on behalf of the Wear and Tees River Board and the National Rivers Authority (NRA) and stored in a database at the Centre for Ecology & Hydrology (as described by Cuthbertson, M. (1993).  A database for environmental research programmes.  Journal of Environmental Management, 37 (1993), pp. 291-300).  Note: There is a large peak in the discharge values in March 1979; there were no notes about this within in the database but it may be related to snow melt following a major snow event in the UK.","locations":["POLYGON((-2.386 54.687, -2.386 54.696, -2.375 54.696, -2.375 54.687, -2.386 54.687))"],"orcid":["https://orcid.org/0000-0002-0027-0436"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e044339-dd06-4f69-b93c-40a79562931c","10.5285/9e044339-dd06-4f69-b93c-40a79562931c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Cuthbertson, M., 1993. A database for environmental research programmes. Journal of Environmental Management, 37(4), pp.291-300."],"title":"Water discharge data for Trout Beck, Cumbria 1961-1980","topic":["0/Hydrology/"],"version":1.0,"view":["public","clamw"],"shortenedDescription":"This dataset contains daily water discharge data from Trout Beck in the Moor House-Upper Teesdale National Nature Reserve in the northern Pennines, Cumbria, UK.   \n Data were automatically recorded at a gauging station located on a weir on the Trout Beck and collated..."},{"publicationDate":"2024-07-23T00:00:00.000+00:00","authorAffiliation":["University of Manchester","Moors for the Future Partnership","University of Manchester "],"authorGivenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"authorFamilyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"authorFullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"authorOrcid":["https://orcid.org/0000-0002-6788-0407","https://orcid.org/0000-0001-7629-9537","https://orcid.org/0000-0003-1526-2620","https://orcid.org/0000-0003-0661-1366","https://orcid.org/0000-0003-2300-1033"],"catalogue":"eidc","description":"This dataset contains rainfall and runoff records, from pre- and post-restoration microcatchments (0.4-4 hectares), at two peatland sites in the Peak District, UK. Discharge data are provided as litres per second and rainfall data as millimetres. The Kinder Scout site contains 3 microcatchments with discharge records covering 2010-2021 at 10-minute timesteps. The Stalybridge site contains 10 microcatchments covering 2019-2022 at 5-minute timesteps. Different microcatchments had different restoration treatments, please refer to documentation for specific details.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"identifier":"91cabe3d-877d-4fca-91a0-900cce793607","incomingCitationCount":0,"givenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"familyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"fullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"keyword":["Peatland","Peak District","Hydrology","discharge","rainfall"],"keywordsPlace":["Peatland","Peak District"],"keywordsTheme":["Hydrology"],"keywordsOther":["discharge","rainfall"],"licence":"Open government licence","lineage":"Runoff data were collected using V-notch weirs installed across an erosional gully at microcatchment outlets. Pressure transducers recorded the height of water above the V-notch, which was subsequently converted to discharge using a weir equation. Manual stageboard readings and depth of flow above the v-notch were measured at the time of downloading pressure transducer data. Sensor depth at the time of manual readings was used to calibrate sensor depth to height of flow above the V-notch. \nRainfall data were collected using a tip bucket rain gauge. These recorded rainfall at a resolution of 0.2mm. \nMore details on data collection, calibration and QA are available in the documentation.\n","locations":["POLYGON((-2.017 53.398, -2.017 53.528, -1.863 53.528, -1.863 53.398, -2.017 53.398))"],"orcid":["https://orcid.org/0000-0002-6788-0407","https://orcid.org/0000-0001-7629-9537","https://orcid.org/0000-0003-1526-2620","https://orcid.org/0000-0003-0661-1366","https://orcid.org/0000-0003-2300-1033"],"organisation":["University of Manchester","Moors for the Future Partnership","University of Manchester ","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/91cabe3d-877d-4fca-91a0-900cce793607","10.5285/91cabe3d-877d-4fca-91a0-900cce793607"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"state":"published","title":"Rainfall and runoff record for experimental microcatchments in peatlands at Kinder Scout (2010-2021) and Stalybridge (2019-2022), Peak District, UK","topic":["0/Hydrology/"],"version":1.0,"view":["public","simgil"],"shortenedDescription":"This dataset contains rainfall and runoff records, from pre- and post-restoration microcatchments (0.4-4 hectares), at two peatland sites in the Peak District, UK. Discharge data are provided as litres per second and rainfall data as millimetres. The Kinder Scout site..."},{"publicationDate":"2021-10-07T00:00:00.000+00:00","authorAffiliation":["Loughborough University","Newcastle University"],"authorGivenName":["H.","Q.","W."],"authorFamilyName":["Chen","Liang","Xiao"],"authorFullName":["Chen, H.","Liang, Q.","Xiao, W."],"catalogue":"eidc","description":"This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario. The GLOFs scenarios were created using a simple dam breach model. A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S005919/1"],"identifier":"f4292d99-de93-4a28-a821-b2a6a826df4c","incomingCitationCount":0,"givenName":["H.","Q.","W."],"familyName":["Chen","Liang","Xiao"],"fullName":["Chen, H.","Liang, Q.","Xiao, W."],"keyword":["Tsho Rolpa Lake","Nepal","Environmental risk","Modelling","Glacial lake outburst floods","Hydrodynamic flood modelling","flood","modelling"],"keywordsPlace":["Tsho Rolpa Lake","Nepal"],"keywordsTheme":["Environmental risk","Modelling"],"keywordsOther":["Glacial lake outburst floods","Hydrodynamic flood modelling","flood","modelling"],"licence":"Open government licence","lineage":"A commonly used empirical breach model was adopted to represent the dam breach formation process caused by overtopping. The breach was assumed to start from a small channel formed at the dam crest (initial breach) and grows into a trapezoidal shape with a side-slope of 1:1 during the time of failure. The model further assumes an initial breach depth and a final breach depth, which can be quantified and prescribed according to current dam conditions. A fully hydrodynamic model based on the 2-D depth-averaged shallow water equations (SWEs) was adopted to predict the flooding processes driven by the flow out of the breach of the moraine dam.\n","locations":["POLYGON((86.1 27.3, 86.1 27.51, 86.29 27.51, 86.29 27.3, 86.1 27.3))"],"organisation":["Loughborough University","Newcastle University","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f4292d99-de93-4a28-a821-b2a6a826df4c","10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04xw4m193"],"state":"published","title":"Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020","topic":["0/Environmental risk/","0/Modelling/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario...."},{"publicationDate":"2025-06-24T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["S.","V.","A.","L.","E.S.","J.R.","D.B.","M.","M.A.","H.M.","N.J.","J.G.","P.","D.","H.","T.","G.","Y.","W.D.","R.","G.V.","F.","P.M.","R.J.","O.","J.L.","E.J.","H.C.","A.C.","J.B."],"authorFamilyName":["Stanley","Antoniou","Askquith-Ellis","Ball","Bennett","Blake","Boorman","Brookes","Clarke","Cooper","Cowan","Cumming","Evans","Farrand","Fry","Harvey","Houghton-Carr","Howson","Jiménez-Arranz","Keen","Khamis","Leeson","Lord","Morrison","Nash","O'Callaghan","Retter","Rylett","Scarlett","Smith","St Quintin","Swain","Szczykulska","Teagle","Thornton","Trill","Vincent","Ward","Warwick","Winterbourn"],"authorFullName":["Stanley, S.","Antoniou, V.","Askquith-Ellis, A.","Ball, L.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brookes, M.","Clarke, M.A.","Cooper, H.M.","Cowan, N.J.","Cumming, A.","Evans, J.G.","Farrand, P.","Fry, M.","Harvey, D.","Houghton-Carr, H.","Howson, T.","Jiménez-Arranz, G.","Keen, Y.","Khamis, D.","Leeson, S.","Lord, W.D.","Morrison, R.","Nash, G.V.","O'Callaghan, F.","Retter, A.","Rylett, D.","Scarlett, P.M.","Smith, R.J.","St Quintin, P.","Swain, O.","Szczykulska, M.","Teagle, S.","Thornton, J.L.","Trill, E.J.","Vincent, P.","Ward, H.C.","Warwick, A.C.","Winterbourn, J.B."],"authorOrcid":["https://orcid.org/0000-0002-8303-2969","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-0203-5958","https://orcid.org/0000-0001-7398-9268","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-6436-5266","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-7473-7916","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0003-4194-1416","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0009-0003-9102-5413","https://orcid.org/0000-0003-4465-2169","https://orcid.org/0000-0002-9822-316X","https://orcid.org/0009-0004-4445-8272","https://orcid.org/0000-0003-2987-488X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0003-1611-2042","https://orcid.org/0000-0002-7426-1153","https://orcid.org/0000-0002-6447-6740","https://orcid.org/0000-0002-5820-7093","https;//orcid.org/0000-0002-8824-8435","https://orcid.org/0000-0002-8350-4823","https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0001-8881-185X","https://orcid.org/0000-0002-1318-5281"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains daily and sub-daily hydrometeorological and soil moisture observations from the COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2024 . These data are from 51 sites across the UK recording a range of hydrometeorological and soil variables.\n\nEach site in the network records the following hydrometeorological and soil data at 30-minute resolution: Radiation (short wave, long wave, and net), precipitation, atmospheric pressure, air temperature, wind speed and direction, humidity, soil heat flux, and soil temperature and volumetric water content (VWC), measured by point sensors at various depths.\n\nEach site hosts a cosmic-ray sensing probe; a novel sensor technology which counts fast neutrons in the surrounding atmosphere. In combination with the recorded hydrometeorological data, neutron counts are used to derive VWC over a field scale (COSMOS VWC), provide at daily resolution.\n\nThe presence of snow leads to erroneously high measurements of COSMOS VWC due to all the extra water in the surrounding area. Included in the daily data are indications of snow days, on which, the COSMOS VWC are adjusted, and the snow water equivalent (SWE) is given.\n\nThe potential evapotranspiration (PE), derived from recorded hydrometeorological and soil are also included at daily resolution.\n\nTwo levels of quality control are carried out, firstly data is run through a series of automated checks, such as range tests and spike tests, and then all data is manually inspected each week  where any other faults are picked up, including sensor faults or connection issues. Quality control flags are provided for all recorded (30 minute) data , indicating the reason for any missing data.\n\nThis  work was supported by the Natural Environment Research Council award number NE/Y006208/1 as part of the UKCEH NC-UK programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/Y006208/1"],"identifier":"2dce161d-2fab-47bb-9fe6-38e7ed1ae18a","incomingCitationCount":0,"givenName":["R.J.","S.","V.","A.","L.","E.S.","J.R.","D.B.","M.","M.A.","H.M.","N.J.","J.G.","P.","D.","H.","T.","G.","Y.","W.D.","R.","G.V.","F.","P.M.","O.","J.L.","E.J.","H.C.","A.C.","J.B."],"familyName":["Smith","Stanley","Antoniou","Askquith-Ellis","Ball","Bennett","Blake","Boorman","Brookes","Clarke","Cooper","Cowan","Cumming","Evans","Farrand","Fry","Harvey","Houghton-Carr","Howson","Jiménez-Arranz","Keen","Khamis","Leeson","Lord","Morrison","Nash","O'Callaghan","Retter","Rylett","Scarlett","St Quintin","Swain","Szczykulska","Teagle","Thornton","Trill","Vincent","Ward","Warwick","Winterbourn"],"fullName":["Richard Smith","Stanley, S.","Antoniou, V.","Askquith-Ellis, A.","Ball, L.","Bennett, E.S.","Blake, J.R.","Boorman, D.B.","Brookes, M.","Clarke, M.A.","Cooper, H.M.","Cowan, N.J.","Cumming, A.","Evans, J.G.","Farrand, P.","Fry, M.","Harvey, D.","Houghton-Carr, H.","Howson, T.","Jiménez-Arranz, G.","Keen, Y.","Khamis, D.","Leeson, S.","Lord, W.D.","Morrison, R.","Nash, G.V.","O'Callaghan, F.","Retter, A.","Rylett, D.","Scarlett, P.M.","Smith, R.J.","St Quintin, P.","Swain, O.","Szczykulska, M.","Teagle, S.","Thornton, J.L.","Trill, E.J.","Vincent, P.","Ward, H.C.","Warwick, A.C.","Winterbourn, J.B."],"keyword":["COSMOS-UK","Agriculture","Climate and climate change","Ecosystem services","Environmental survey","Hydrology","Land use","Soil","Absolute humidity","Atmospheric pressure","Cosmic-Ray sensing probe","Longwave radiation","Shortwave radiation","Net radiation","Potential evapotranspiration","Rainfall","Relative humidity","Soil heat flux","Soil humidity","Soil temperature","Soil water content","Soil wetness","Soil depth 2cm","Soil depth 5cm","Soil depth 10cm","Soil depth 20cm","Soil depth 50cm","UK","Volumetric water content","VWC","Wind direction","Wind speed","Latent heat","Sensible heat","atmospheric humidity","air temperature","soil","soil moisture","atmospheric precipitation","evapotranspiration"],"keywordsProject":["COSMOS-UK"],"keywordsTheme":["Agriculture","Climate and climate change","Ecosystem services","Environmental survey","Hydrology","Land use","Soil"],"keywordsOther":["Absolute humidity","Atmospheric pressure","Cosmic-Ray sensing probe","Longwave radiation","Shortwave radiation","Net radiation","Potential evapotranspiration","Rainfall","Relative humidity","Soil heat flux","Soil humidity","Soil temperature","Soil water content","Soil wetness","Soil depth 2cm","Soil depth 5cm","Soil depth 10cm","Soil depth 20cm","Soil depth 50cm","UK","Volumetric water content","VWC","Wind direction","Wind speed","Latent heat","Sensible heat","atmospheric humidity","air temperature","soil","soil moisture","atmospheric precipitation","evapotranspiration"],"observedPropertyValue":["DATE_TIME","LWIN","LWOUT","SWIN","SWOUT","RN","PRECIP","PRECIP_TIPPING","PRECIP_RAINE","PA","TA","WS","WD","Q","RH","SNOW_DEPTH","UX","UY","UZ","G1","G2","TDT1_TSOIL","TDT2_TSOIL","TDT1_VWC","TDT2_VWC","TDT3_TSOIL","TDT4_TSOIL","TDT3_VWC","TDT4_VWC","TDT5_TSOIL","TDT6_TSOIL","TDT5_VWC","TDT6_VWC","TDT7_TSOIL","TDT8_TSOIL","TDT7_VWC","TDT8_VWC","TDT9_TSOIL","TDT10_TSOIL","TDT9_VWC","TDT10_VWC","STP_TSOIL2","STP_TSOIL5","STP_TSOIL10","STP_TSOIL20","STP_TSOIL50"],"observedPropertyTitle":["DateTime","Incoming longwave radiation","Mean incoming longwave radiation","Mean outgoing longwave radiation","Mean incoming shortwave radiation","Mean outgoing shortwave radiation","Mean Net radiation","Total precipitation from Pluvio","Total precipitation from tipping bucket","Total precipitation from rain[e]","Mean atmospheric pressure","Mean air temperature","Mean wind speed","Mean wind direction","Maen absolute humidity","mean relative humidity","Snow depth","Mean X component of wind speed","Mean Y component of wind speed","Mean Z component of wind speed","Mean heat flux 1","Mean heat flux 2","Soil temperature from TDT sensor 2 at 10 cm","Soil temperature from TDT sensor 1 at 10 cm","Volumetric water content from TDT sensor 1 at 10 cm","Volumetric water content from TDT sensor 2 at 10 cm","Soil temperature from TDT sensor 4 at 5 cm","Soil temperature from TDT sensor 3 at 5 cm","Volumetric water content from TDT sensor 3 at 5 cm","Volumetric water content from TDT sensor 4 at 5 cm","Soil temperature from TDT sensor 5 at 15 cm","Soil temperature from TDT sensor 6 at 15 cm","Volumetric water content from TDT sensor 5 at 15 cm","Volumetric water content from TDT sensor 6 at 15 cm","Soil temperature from TDT sensor 7 at 25 cm","Soil temperature from TDT sensor 8 at 25 cm","Volumetric water content from TDT sensor 7 at 25 cm","Volumetric water content from TDT sensor 8 at 25 cm","Soil temperature from TDT sensor 9 at 50 cm","Soil temperature from TDT sensor 10 at 50 cm","Volumetric water content from TDT sensor 9 at 50 cm","Volumetric water content from TDT sensor 10 at 50 cm","Mean soil temperature at depth 2 cm","Mean soil temperature at depth 5 cm","Mean soil temperature at depth 10 cm","Mean soil temperature at depth 20 cm","Mean soil temperature at depth 50 cm"],"licence":"Open government licence","lineage":"Hydrometeorological and soil observations are recorded at sites around the UK using an array of sensors. Every hour, the raw data collected is sent to UKCEH in Wallingford, where it is subject to quality control. Soil volumetric water content data are derived from 30-minute hydrometeorological data and data from the cosmic-ray sensing probe by Python scripts run every hour. The data are calculated using the method outlined in Evans et al. 2016. Snow water equivalents are derived by Python scripts at the end of the day from the hydrometeorological data according to Wallbank et al., 2020. Potential evapotranspiration data are derived by Python scripts at the end of the day from the hydrometeorological data according to the Penman-Monteith method, (FAO Crop evapotranspiration - Guidelines for computing crop water requirements - FAO Irrigation and drainage paper 56). All data (including raw, quality controlled and derived) is saved in an Oracle database.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"orcid":["https://orcid.org/0000-0002-6447-6740","https://orcid.org/0000-0002-8303-2969","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-0203-5958","https://orcid.org/0000-0001-7398-9268","https://orcid.org/0000-0002-1033-4712","https://orcid.org/0000-0002-6436-5266","https://orcid.org/0000-0002-7439-0393","https://orcid.org/0000-0002-1382-3407","https://orcid.org/0000-0002-7473-7916","https://orcid.org/0000-0001-5704-9006","https://orcid.org/0000-0003-4194-1416","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0009-0003-9102-5413","https://orcid.org/0000-0003-4465-2169","https://orcid.org/0000-0002-9822-316X","https://orcid.org/0009-0004-4445-8272","https://orcid.org/0000-0003-2987-488X","https://orcid.org/0000-0002-1847-3127","https://orcid.org/0000-0003-1611-2042","https://orcid.org/0000-0002-7426-1153","https://orcid.org/0000-0002-5820-7093","https;//orcid.org/0000-0002-8824-8435","https://orcid.org/0000-0002-8350-4823","https://orcid.org/0000-0002-6233-8942","https://orcid.org/0000-0001-8881-185X","https://orcid.org/0000-0002-1318-5281"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2dce161d-2fab-47bb-9fe6-38e7ed1ae18a","10.5285/2dce161d-2fab-47bb-9fe6-38e7ed1ae18a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Daily and sub-daily hydrometeorological and soil moisture data (2013-2024) [COSMOS-UK]","topic":["0/Agriculture/","0/Climate and climate change/","0/Ecosystem services/","0/Environmental survey/","0/Hydrology/","0/Land use/","0/Soil/"],"version":1.0,"view":["public","katwri"],"shortenedDescription":"This dataset contains daily and sub-daily hydrometeorological and soil moisture observations from the COSMOS-UK (cosmic-ray soil moisture) monitoring network from October 2013 to the end of 2024 . These data are from 51 sites across the UK recording a range of hydrometeorological..."},{"publicationDate":"2022-03-15T00:00:00.000+00:00","authorAffiliation":["University of Aberdeen","Botswana International University of Science and Technology","International Water Management Institute","Botswana Department of Water and Sanitation"],"authorGivenName":["J.-C.","F.","K.","J.","A."],"authorFamilyName":["Comte","Franchi","Villholth","Geris","Petros"],"authorFullName":["Comte, J.-.","Franchi, F.","Villholth, K.","Geris, J.","Petros, A."],"authorOrcid":["https://orcid.org/0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"catalogue":"eidc","description":"The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled image of the conceptual hydrogeological cross-section.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/R002568/1"],"identifier":"4731c4da-91fc-4762-9c17-74c8749d4227","incomingCitationCount":0,"givenName":["J.-C.","F.","K.","J.","A."],"familyName":["Comte","Franchi","Villholth","Geris","Petros"],"fullName":["Comte, J.-.","Franchi, F.","Villholth, K.","Geris, J.","Petros, A."],"keyword":["Botswana","Hydrology","Conceptual hydrogeological model","Cross-section","Topography","Borehole","Groundwater-surface water relationships","water table","groundwater","geology"],"keywordsPlace":["Botswana"],"keywordsTheme":["Hydrology"],"keywordsOther":["Conceptual hydrogeological model","Cross-section","Topography","Borehole","Groundwater-surface water relationships","water table","groundwater","geology"],"licence":"Open government licence","lineage":"The conceptual hydrogeological cross-section was generated from publicly available, primary datasets, including geological maps, hydrogeological maps, and hydrological datasets, using the following workflow:\n•\tWith Google Earth: (1) polyline transect selection; (2) extraction of the geographic coordinates of the extremities of each segment of the polyline transect; (3) topography extraction along the full polyline transect; \n•\tWith both Google Earth and Inkscape: (4) delineation of geological unit boundaries and regional faults at the surface; (5) extension of geological units and faults at depth; (6) location of surface water bodies; i.e. streams, reservoirs and dams; (7) projection of monitoring boreholes and delineation of water table;\n•\tWith Inkscape: (8) water table interpolation across the cross-section; (9) interpretation and drawing of groundwater flow directions; (10) interpretation drawing of surface run-off, groundwater recharge, and groundwater-surface water interaction processes; and (11) raster image export at 600 dpi.","locations":["POLYGON((25.25 -25.296, 25.25 -24.677, 25.981 -24.677, 25.981 -25.296, 25.25 -25.296))"],"orcid":["https://orcid.org/0000-0002-5129-8391"],"organisation":["University of Aberdeen","Botswana International University of Science and Technology","International Water Management Institute","Botswana Department of Water and Sanitation","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4731c4da-91fc-4762-9c17-74c8749d4227","10.5285/4731c4da-91fc-4762-9c17-74c8749d4227"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"state":"published","title":"Conceptual hydrogeological cross-section across the Gaborone catchment from Kanye area to Gaborone city, Botswana","topic":["0/Hydrology/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"The dataset contains a scaled, semi-quantitative conceptual hydrogeological model of the Gaborone catchment along a general WSW-ENE direction including; (1) the geographic coordinates of the extremities of each segment of the polyline transect; (2) the raster, scaled..."},{"publicationDate":"2012-04-02T00:00:00.000+00:00","catalogue":"eidc","description":"This dataset is from five boreholes located on an improved grassland hillslope transect within the Pontbren study site in mid-Wales, UK. Groundwater was measured using pressure transducers installed in each of the boreholes with a pressure transducer used to account for variations in barometric pressure. Groundwater monitoring was carried out between 2005-2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. \n\nBoreholes 1 and 2 are located in the improved grassland field immediately above the Bowl study site, borehole 3 is located within the Bowl study site and boreholes 4 and 5 are located in improved grassland field below the Bowl, known as the hillslope with tree shelterbelt. Data is presented in terms of height of water (cm) relative to the soil surface. Groundwater temperature (deg C) is also given. \n\nGroundwater height was initially sampled every 10 minutes until October 2006 when it was changed to sampling every 30 minutes. Groundwater was measured in all 5 boreholes up until March 2008 at which point sampling was reduced to measurements taken from borehole 3 up until the end of 2009. Within the 'Pontbren Groundwater' dataset folder there are five other sub-folders which contain the dataset from the respective boreholes. \n\nData are provided in the form of .txt files and generally split into 6 month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Details of the dataset, the quality assurance coding system and monitoring locations are provided in the supporting documentation. Also provided are the details of the borehole logs at the time they were drilled. Other measurements taken at the bowl and hillslope study site include monitoring runoff from an improved grassland field in the form of overland and drain flow, soil water tension, soil volumetric moisture content, groundwater height and precipitation. Datasets of these other parameters are also provided by the EIDC.","documentType":"GEMINI_DOCUMENT","identifier":"2b7bdff7-cfac-459e-8c50-360da7ba4468","incomingCitationCount":0,"givenName":["Miles"],"familyName":["Marshall"],"fullName":["Marshall, M."],"keyword":["United Kingdom","Wales","Pontbren","Soil","Hydrology","Environmental risk","Flood risk management","Water","hydrology","flooding","soil"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Soil","Hydrology","Environmental risk"],"keywordsOther":["Flood risk management","Water","hydrology","flooding","soil"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling.  Full details provided in the 'Pontbren data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2b7bdff7-cfac-459e-8c50-360da7ba4468"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"state":"published","supplementalDescription":["Marshall, M. R., Francis, O. J., Frogbrook, Z. L., Jackson, B. M., McIntyre, N., Reynolds, B., ... Chell, J. (2009). The impact of upland land management on flooding: results from an improved pasture hillslope. Hydrological Processes, 23(3), 464-475.","Wheater, H., Reynolds, B., McIntyre, N., Marshall, M., Jackson, B., Frogbrook, Z., Solloway, I., Francis, O. and Chell, J.  2008.  Impacts of upland management on flood risk: multi-scale modelling on methodology and results from the Pontbren Experiment.  FRMRC Research Report UR 16.  December 2008. Click on, Land Use, Sediments and Flooding, to view report."],"supplementalName":["The Flood Risk Management Research Consortium website"],"title":"Pontbren groundwater data","topic":["0/Soil/","0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","bpu"],"shortenedDescription":"This dataset is from five boreholes located on an improved grassland hillslope transect within the Pontbren study site in mid-Wales, UK. Groundwater was measured using pressure transducers installed in each of the boreholes with a pressure transducer used to account..."},{"publicationDate":"2017-07-12T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology","Australian National University","University of Exeter","Marine Biological Laboratory","University of Minnesota","Columbia University","Western Sydney University","University of Canterbury","Met Office","University of Oxford"],"authorGivenName":["C.","O.K.","A.","L.M.","M.A.","A.B.","K.J.","O.S.","P.B.","K.R.","E.E.","M.","K.L.","P.","M.G.","M.H.","S.","Y."],"authorFamilyName":["Huntingford","Atkin","Martinez-de la Torre","Mercado","Heskel","Harper","Bloomfield","O'Sullivan","Reich","Wythers","Butler","Chen","Griffin","Meir","Tjoelker","Turnbull","Sitch","Wiltshire","Malhi"],"authorFullName":["Huntingford, C.","Atkin, O.K.","Martinez-de la Torre, A.","Mercado, L.M.","Heskel, M.A.","Harper, A.B.","Bloomfield, K.J.","O'Sullivan, O.S.","Reich, P.B.","Wythers, K.R.","Butler, E.E.","Chen, M.","Griffin, K.L.","Meir, P.","Tjoelker, M.G.","Turnbull, M.H.","Sitch, S.","Wiltshire, A.","Malhi, Y."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-0244-5348"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/019wvm592","https://ror.org/03yghzc09","https://ror.org/046dg4z72","https://ror.org/017zqws13","https://ror.org/00hj8s172","https://ror.org/03t52dk35","https://ror.org/03y7q9t39","https://ror.org/01ch2yn61","https://ror.org/052gg0110"],"catalogue":"eidc","description":"The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100). The spatial resolution of the data is 2.5 degrees latitude x 3.75 degrees longitude. These diagnostics are outputs from the Joint UK Land Environment Simulator (JULES land surface model) under four different approaches to calcluate leaf respiration. \n\nEach of four sets contains a total of 34 runs, each driven by a different CMIP5 model climate pattern, using the Integrated Model Of Global Effects of climatic aNomalies (IMOGEN) system. These are for a \"business-as-usual\" approach to fossil fuel usage, as the Representative Concentration Pathway scenario RCP8.5. These simulations form the basis for new research paper by Huntingford et al (2017, under review).","documentType":"GEMINI_DOCUMENT","identifier":"24489399-5c99-4050-93ee-58ac4b09341a","incomingCitationCount":1,"givenName":["Chris","C.","O.K.","A.","L.M.","M.A.","A.B.","K.J.","O.S.","P.B.","K.R.","E.E.","M.","K.L.","P.","M.G.","M.H.","S.","Y."],"familyName":["Huntingford","Atkin","Martinez-de la Torre","Mercado","Heskel","Harper","Bloomfield","O'Sullivan","Reich","Wythers","Butler","Chen","Griffin","Meir","Tjoelker","Turnbull","Sitch","Wiltshire","Malhi"],"fullName":["Huntingford, C.","Atkin, O.K.","Martinez-de la Torre, A.","Mercado, L.M.","Heskel, M.A.","Harper, A.B.","Bloomfield, K.J.","O'Sullivan, O.S.","Reich, P.B.","Wythers, K.R.","Butler, E.E.","Chen, M.","Griffin, K.L.","Meir, P.","Tjoelker, M.G.","Turnbull, M.H.","Sitch, S.","Wiltshire, A.","Malhi, Y."],"keyword":[" Joint UK Land Environment Simulator","JULES","Modelling","Large-scale respiration","global warming","carbon cycle"],"keywordsProject":[" Joint UK Land Environment Simulator","JULES"],"keywordsTheme":["Modelling"],"keywordsOther":["Large-scale respiration","global warming","carbon cycle"],"licence":"Open government licence","lineage":"The annual data are time means of the JULES fluxes, calculated every 3600 s. JULES is a Land Surface Model widely used in climate research. The JULES runs were driven by 34 different GCM climate patterns as described in the IMOGEN system. The 4 approaches for the calculation of plant respiration are:\n(i) \"standard\" - this is using the standard version of the JULES model\n(ii) \"RD25\" - this is with revised estimates of respiration at 25 degrees Celsius.\n(iii) \"RD25 plus b,c\" - this is with new 25 degrees respiration values, plus a revised temperature response across temperature ranges, dependent on two empiric parameters.\n(iv) \"RD25 plus b,c plus acclim\" - as for (iii) above, with additional temperature acclimation effects.\n\nSee supporting information accompanying this dataset for further details. ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"orcid":["https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-0244-5348"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Australian National University","University of Exeter","Marine Biological Laboratory","University of Minnesota","Columbia University","Western Sydney University","University of Canterbury","Met Office","University of Oxford","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24489399-5c99-4050-93ee-58ac4b09341a","10.5285/24489399-5c99-4050-93ee-58ac4b09341a"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/019wvm592","https://ror.org/03yghzc09","https://ror.org/046dg4z72","https://ror.org/017zqws13","https://ror.org/00hj8s172","https://ror.org/03t52dk35","https://ror.org/03y7q9t39","https://ror.org/01ch2yn61","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"state":"published","title":"Plant Respiration Modelling with JULES for a changing climate (1860-2100)","topic":["0/Modelling/"],"version":1.0,"view":["public","nuri"],"shortenedDescription":"The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100)...."},{"publicationDate":"2020-06-24T00:00:00.000+00:00","authorAffiliation":["Foundation for Ecological Research, Advocacy and Learning","Ashoka Trust for Research in Ecology and the Environment","Lancaster Environment Centre, Lancaster University"],"authorGivenName":["R.S.","J.","N.A.","K.","S.","R.","P."],"authorFamilyName":["Bhalla","Krishnsawamy","Chappell","Kumaran","Vaidyanathan","Nayak","Ghatwai"],"authorFullName":["Bhalla, R.S.","Krishnsawamy, J.","Chappell, N.A.","Kumaran, K.","Vaidyanathan, S.","Nayak, R.","Ghatwai, P."],"authorOrcid":["https://orcid.org/0000-0002-6551-4470","https://orcid.org/0000-0001-7985-0005","https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-8569-8844","https://orcid.org/0000-0003-3642-0309","https://orcid.org/0000-0002-6128-6853"],"authorRor":["https://ror.org/02e22ra24","https://ror.org/04f2nsd36"],"catalogue":"eidc","description":"Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle. The data were collected between May 2014 and December 2016. Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe-based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Dry season data has not been included in this dataset as its focus is on extreme rain events.\n\nThe data were collected as part of a series of eco-hydrology projects that explored the impact of land cover on rain-runoff response, carbon sequestration and nutrient and sediment discharge.\n\nThe dataset presented here was collected by a team of three to five researchers and field assistants who were engaged in the installation of the data loggers and their regular operation and maintenance. Four research agencies have partnered across multiple projects to sustain the data collection efforts that started in June 2013 and continue (June 2020). These are the Foundation for Ecological Research, Advocacy and Learning - Pondicherry, the Ashoka Trust for Research in Ecology and the Environment - Bangalore, the Lancaster Environmental Centre, Lancaster University - UK, and the National Centre for Biological Sciences - Bangalore. Funding was provided by Ministry of Earth Sciences Government of India from the Changing Water Cycle programme (Grant Ref: MoES/NERC/16/02/10 PC-II) and the Hydrologic footprint of Invasive Alien Species project (MOES/PAMC/H&C/85/2016-PC-II). Additional funding was provided by UKRI Natural Environment Research Council grant NE/I022450/1 (Western Ghats-Capacity within the NERC Changing Water Cycle programme) and WWF-India as part of the Noyyal-Bhavani program.This research took place inside protected areas in the Nilgiri Division for which permissions and support were provided continually by the Tamil Nadu Forest Department, particularly the office of the District Forest Officer, Udhagamandalam.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/I022450/1"],"identifier":"9257a999-2844-4be1-80d1-fd29e2ccf9ef","incomingCitationCount":0,"givenName":["R.S.","J.","N.A.","K.","S.","R.","P."],"familyName":["Bhalla","Krishnsawamy","Chappell","Kumaran","Vaidyanathan","Nayak","Ghatwai"],"fullName":["Bhalla, R.S.","Krishnsawamy, J.","Chappell, N.A.","Kumaran, K.","Vaidyanathan, S.","Nayak, R.","Ghatwai, P."],"keyword":["Tipping bucket wired rain gauge","stilling wells","capacitance probe","mini-disk infiltrometer","Southern Western Ghats","Upper Nilgiris","India","Land cover","Hydrology","Soil","Daily rainfall","Daily discharge","hydraulic conductivity","Impacts of land cover"],"keywordsInstrument":["Tipping bucket wired rain gauge","stilling wells","capacitance probe","mini-disk infiltrometer"],"keywordsPlace":["Southern Western Ghats","Upper Nilgiris","India"],"keywordsTheme":["Land cover","Hydrology","Soil"],"keywordsOther":["Daily rainfall","Daily discharge","hydraulic conductivity","Impacts of land cover"],"licence":"Open government licence","lineage":"Tipping bucket wired rain gauges were used to measure rainfall. Stream discharge was measured from stilling wells and capacitance probe based water level recorders. A mini-disk infiltrometer was used to measure the hydraulic conductivity of soils. Data from loggers on the rain gauges and water level recorder were downloaded fortnightly onto field laptops. Field notes were maintained for the hydraulic conductivity data and for recording metadata during field visits. Data was processed in the field station using R scripts which included routines to plot and visualise data to assure quality. Rainfall and discharge data were aggregated to daily time steps and output as a .csv file for deposit into the EIDC.","locations":["POLYGON((76.552 11.274, 76.552 11.31, 76.585 11.31, 76.585 11.274, 76.552 11.274))"],"orcid":["https://orcid.org/0000-0002-6551-4470","https://orcid.org/0000-0001-7985-0005","https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-8569-8844","https://orcid.org/0000-0003-3642-0309","https://orcid.org/0000-0002-6128-6853"],"organisation":["Foundation for Ecological Research, Advocacy and Learning","Ashoka Trust for Research in Ecology and the Environment","Lancaster Environment Centre, Lancaster University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9257a999-2844-4be1-80d1-fd29e2ccf9ef","10.5285/9257a999-2844-4be1-80d1-fd29e2ccf9ef"],"resourceStatus":"Available","resourceType":"Dataset","ror":["https://ror.org/02e22ra24","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"state":"published","title":"Daily rainfall, stream discharge and hydraulic conductivity of soils from catchments dominated by different vegetation types, Western Ghats, India, 2014-2016","topic":["0/Land cover/","0/Hydrology/","0/Soil/"],"version":1.0,"view":["public","danor"],"shortenedDescription":"Data are presented for daily rainfall, stream discharge and hydraulic conductivity of soils from catchments located in the Upper Nilgiris Reserve Forest in the state of Tamil Nadu. The catchments are dominated by four land cover types, shola, grassland, pine and wattle...."},{"publicationDate":"2016-05-18T00:00:00.000+00:00","authorAffiliation":["Centre for Ecology & Hydrology"],"authorGivenName":["A.R."],"authorFamilyName":["House"],"authorFullName":["House, A.R."],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset contains channel cross-sections for the River Lambourn and Westbrook Channel at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory at Boxford, Berkshire. The CEH River Lambourn Observatory located in the county of Berkshire, UK (51.445o N 1.384o W) comprises a 600 m reach of the River Lambourn with 10 hectares of associated riparian wetland. The Westbrook Channel divides the wetland into northern and southern meadows. Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook Channel in May 2013 and the River Lambourn in November 2013.","documentType":"GEMINI_DOCUMENT","identifier":"e918198d-42e1-48e6-85ba-3916e20a6658","incomingCitationCount":0,"givenName":["Gareth","A.R."],"familyName":["Old","House"],"fullName":["Old, G.","House, A.R."],"keyword":["Hydrology","river"],"keywordsTheme":["Hydrology"],"keywordsOther":["river"],"licence":"Open government licence","lineage":"Channel cross-section surveys were conducted using Trimble R8TM dGPS for the Westbrook in May 2013 and the River Lambourn in November 2013. Cross-sections were surveyed at 44 locations along the Westbrook and 42 along the River Lambourn. Locations were restricted in access and line of sight by dense vegetation. For the purposes of this study, bankfull stage was observed as an abrupt change in slope, dominant bench level and, if applicable, the lower limit of riparian vegetation.","locations":["POLYGON((-1.385 51.442, -1.385 51.447, -1.38 51.447, -1.38 51.442, -1.385 51.442))"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e918198d-42e1-48e6-85ba-3916e20a6658","10.5285/e918198d-42e1-48e6-85ba-3916e20a6658"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Channel cross-sections for the CEH River Lambourn Observatory at Boxford","topic":["0/Hydrology/"],"version":1.0,"view":["public","weig"],"shortenedDescription":"This dataset contains channel cross-sections for the River Lambourn and Westbrook Channel at the Centre for Ecology & Hydrology (CEH) River Lambourn Observatory at Boxford, Berkshire. The CEH River Lambourn Observatory located in the county of Berkshire, UK (51.445o..."},{"publicationDate":"2022-02-21T00:00:00.000+00:00","authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorGivenName":["P.","V.A.","M.J.","H.N."],"authorFamilyName":["Rameshwaran","Bell","Brown","Davies"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Brown, M.J.","Davies, H.N."],"authorOrcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"catalogue":"eidc","description":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods.  This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/M020428/1"],"identifier":"346124fd-a0c6-490f-b5af-eaccbb26ab6b","incomingCitationCount":1,"givenName":["P.","V.A.","M.J.","H.N."],"familyName":["Rameshwaran","Bell","Brown","Davies"],"fullName":["Rameshwaran, P.","Bell, V.A.","Brown, M.J.","Davies, H.N."],"keyword":["Climate and climate change","Hydrology","Modelling","flow","river"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"keywordsOther":["flow","river"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP6 daily precipitation and potential evaporation derived from bias-corrected CMIP6 daily temperature data. See Supporting Information for more details.","locations":["POLYGON((-18.281 3.338, -18.281 28.459, 26.191 28.459, 26.191 3.338, -18.281 3.338))"],"orcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/346124fd-a0c6-490f-b5af-eaccbb26ab6b","10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"state":"published","title":"Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","matnic"],"shortenedDescription":"This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100)..."},{"publicationDate":"2025-06-27T00:00:00.000+00:00","authorAffiliation":["Citizen Science Volunteer, Karainagar, Sri Lanka","University of Jaffna","UK Centre for Ecology & Hydrology","Swedish University of Agricultural Sciences"],"authorGivenName":["K.T.","S.","I.","P.","B.","N."],"authorFamilyName":["Mahadeva","Suren","Mayuran","Kirishnaraja","Karthiga","Rameshwaran","Ketheesan","Sriskandarajah"],"authorFullName":["Mahadeva, K.T.","Suren, S.","Mayuran, S.","Kirishnaraja, S.","Karthiga, I.","Rameshwaran, P.","Ketheesan, B.","Sriskandarajah, N."],"authorOrcid":["https://orcid.org/0000-0002-0123-6934","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-9801-7091","https://orcid.org/0000-0002-9429-6767"],"authorRor":["https://ror.org/02fwjgw17","https://ror.org/00pggkr55","https://ror.org/02yy8x990"],"catalogue":"eidc","description":"This dataset includes measurements of groundwater levels (2019–2021) and rainfall data (2020–2021), collected through citizen participation on the Indian Ocean island of Karainagar, Sri Lanka. Karainagar, the study area, is one of seven islands located off the coast of Jaffna in northern Sri Lanka. This rectangular island is bounded on three sides by the Palk Strait, while the fourth side faces the Jaffna Lagoon and is connected to the mainland by a causeway. Karainagar covers an area of approximately 22 km², including inland water bodies. Seven dug wells used for domestic purposes were inventoried and monitored to track groundwater levels. Rainfall data were collected from six locations, including two schools, three households, and one village government office (Grama Niladhari Office).","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council","World Bank"],"grant":["NE/X006247/1","AHEAD-R2-DOR6"],"identifier":"bce114d8-8f3b-49e0-90c6-f0788c1e9a0d","incomingCitationCount":0,"givenName":["K.T.","S.","I.","P.","B.","N."],"familyName":["Mahadeva","Suren","Mayuran","Kirishnaraja","Karthiga","Rameshwaran","Ketheesan","Sriskandarajah"],"fullName":["Ponnambalam Rameshwaran","Mahadeva, K.T.","Suren, S.","Mayuran, S.","Kirishnaraja, S.","Karthiga, I.","Rameshwaran, P.","Ketheesan, B.","Sriskandarajah, N."],"keyword":["Hydrology","Climate and climate change","Dug Well","Groundwater","Hydrology ","Karainagar Island","Rainfall","Sri Lanka","Water Level","Citizen Science "],"keywordsTheme":["Hydrology"],"keywordsOther":["Climate and climate change","Dug Well","Groundwater","Hydrology ","Karainagar Island","Rainfall","Sri Lanka","Water Level","Citizen Science "],"licence":"Open government licence","lineage":"A citizen science initiative engaged local well owners, trained volunteers, and schoolchildren in monitoring groundwater and measuring rainfall. Participants were taught to measure water levels using a tape specifically modified for groundwater monitoring, and to record rainfall using a Holman rain gauge. The dimensions of dug wells—including kerb height, diameter or width, and bottom elevation—were measured using a measuring tape. The locations of rain gauges, dug wells, and ground elevations relative to Mean Sea Level (MSL) were determined using a Global Positioning System (GPS) and land surveys. Daily rainfall time series data were obtained from the records of the Agrarian Services Centre (ASC) in Karainagar.","locations":["POLYGON((79.847 9.702, 79.847 9.768, 79.904 9.768, 79.904 9.702, 79.847 9.702))"],"orcid":["https://orcid.org/0000-0002-0123-6934","https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-9801-7091","https://orcid.org/0000-0002-9429-6767"],"organisation":["UK Centre for Ecology & Hydrology","Citizen Science Volunteer, Karainagar, Sri Lanka","University of Jaffna","Swedish University of Agricultural Sciences","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bce114d8-8f3b-49e0-90c6-f0788c1e9a0d","10.5285/bce114d8-8f3b-49e0-90c6-f0788c1e9a0d"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Jaffna"],"ror":["https://ror.org/00pggkr55","https://ror.org/02fwjgw17","https://ror.org/02yy8x990","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Karthiga, I., Rameshwaran, P., Ketheesan, B., & Sriskandarajah, N. (2023). Groundwater mapping and locally engaged water governance in a small island terrain: Case study of Karainagar island, Northern Sri Lanka. World Water Policy, 9(3), 456-480.","Karthiga, I., Rameshwaran, P., Ketheesan, B., & Sriskandarajah, N. (2022). Aquifer monitoring and community engagement in groundwater management for water security in northern Sri Lanka. 7th Annual Research Symposium, The International Water Conference 2022, 14-16 of December 2022. National Water Supply and Drainage Board, Sri Lanka, 256-263."],"title":"Groundwater levels (2019-2021) and rainfall data (2020-2021) collected with a citizen science approach on the Indian Ocean island of Karainagar, Sri Lanka","topic":["0/Hydrology/"],"version":1.0,"view":["public","katwri"],"shortenedDescription":"This dataset includes measurements of groundwater levels (2019–2021) and rainfall data (2020–2021), collected through citizen participation on the Indian Ocean island of Karainagar, Sri Lanka. Karainagar, the study area, is one of seven islands located off the coast..."},{"publicationDate":"2024-01-23T00:00:00.000+00:00","authorAffiliation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna"],"authorGivenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"authorFamilyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"authorOrcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77"],"catalogue":"eidc","description":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). 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The geodatabase provides a baseline understanding of fundamental topographic characteristics in support of varied geomorphological, hydrological and geohazard susceptibility applications.\n\nData sets include:\n 1) GIS shapefiles with river catchment properties;\n 2) GIS shapefiles with stream network properties;\n 3) spreadsheets containing morphometric and topographic characteristics (n = 91);\n 4) example MATLAB code and topographic data to replicate the analysis for a selected catchment.\n\nThe work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312/1.","documentType":"GEMINI_DOCUMENT","funder":["Natural Environment Research Council"],"grant":["NE/S003312/1"],"identifier":"49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","incomingCitationCount":0,"givenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"familyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"fullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"keyword":["Philippines","Hydrology","Topography","river","catchment","Stream networks","river management","geomorphology"],"keywordsPlace":["Philippines"],"keywordsTheme":["Hydrology"],"keywordsOther":["Topography","river","catchment","Stream networks","river management","geomorphology"],"licence":"Open government licence","lineage":"The analysis used a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar (IfSAR), with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy.\nCatchment and stream network properties were calculated using TopoToolbox V2.\n\nThe web-application was designed using the ArcGIS Web AppBuilder.\n\nThe data set is fully described in Boothroyd et al. (2023) https://doi.org/10.1371/journal.pone.0281933 .","locations":["POLYGON((116 4, 116 21, 127 21, 127 4, 116 4))"],"orcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"organisation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna","University of Glasgow","NERC EDS Environmental Information Data Centre"],"recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","10.5285/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e"],"resourceStatus":"Available","resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77","https://ror.org/04xw4m193"],"state":"published","supplementalDescription":["Boothroyd, RJ., Williams, RD., Hoey, TB., MacDonell, C., Tolentino, PLM., Quick, L., Guardian, EL., Reyes, M., Sabillo, C., Perez, JEG and David, CPC. National-scale geodatabase of catchment characteristics in the Philippines for river management applications. PLOS ONE. 18(3): e0281933.","An interactive version of the catchment geodatabase."],"title":"National-scale geodatabase of catchment characteristics in the Philippines","topic":["0/Hydrology/"],"version":1.0,"view":["public","rafbar"],"shortenedDescription":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). 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