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Information about the location of each sampling point and the level of treatment received at each point can be found in the supporting documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Fox","Thorn","Clayton","Reynolds"],"fullName":["Fox, B.G.","Thorn, R.M.S.","Clayton, G.E.","Reynolds, D.M.","Fox, B."],"givenName":["B.G.","R.M.S.","G.E.","D.M.","Bethany"],"identifier":"98148025-e8ef-40f9-907e-dae8b28106d2","incomingCitationCount":0,"keyword":["Water quality","Off-grid","Decentralised","Sustainable","Alternative treatment methods","Water treatment","Novel technologies","Technology platforms","Infrastructure","Green biocide","Safe water","Bacterial contamination","drinking water treatment","contamination","drinking water","water treatment","biocide"],"keywordsOther":["Off-grid","Decentralised","Sustainable","Alternative treatment methods","Water treatment","Novel technologies","Technology platforms","Infrastructure","Green biocide","Safe water","Bacterial contamination","drinking water treatment","contamination","drinking water","water treatment","biocide"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Operational data is provided by a remote monitoring management system with average values provided every 5 minutes, and minimum and maximum values provided for the 5-minute time periods where available.\nSamples were collected as per the specified UKAS laboratory protocols using sampling bottles provided by the external laboratory. Water quality parameter data is summarised through reports obtained via the UKAS laboratory. This information has been compiled into data summary spreadsheets, which are uploaded here. The details of the standard methods used by the external laboratory is provided in the supporting documentation to aid data interpretation.\n","locations":["POLYGON((-2.557 51.497, -2.557 51.505, -2.543 51.505, -2.543 51.497, -2.557 51.497))"],"metadataDate":"2026-06-29T16:45:55.000Z","orcid":["https://orcid.org/0000-0002-2115-8945","https://orcid.org/0000-0002-4907-150X","https://orcid.org/0000-0003-2395-3827","https://orcid.org/0000-0002-7002-1320"],"organisation":["University of the West of England","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/98148025-e8ef-40f9-907e-dae8b28106d2","10.5285/98148025-e8ef-40f9-907e-dae8b28106d2","doi:10.5285/98148025-e8ef-40f9-907e-dae8b28106d2"],"resourceType":"Dataset","rightsHolder":["University of the West of England"],"ror":["https://ror.org/02nwg5t34","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises operational data for a novel decentralised drinking water treatment platform (DWTP) and water quality data for three sampling points within the treatment system. 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The Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the UK Centre for Ecology & Hydrology, and is ongoing since 1968.\n\nFieldwork was carried out by UKCEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified UKCEH chemists at laboratories at UKCEH Lancaster and UKCEH Bangor. Data was being checked and added to an Access database before being extracted to csv and uploaded to EIDC.","locations":["POLYGON((-3.804 52.423, -3.804 52.518, -3.639 52.518, -3.639 52.423, -3.804 52.423))"],"metadataDate":"2026-06-29T16:24:09.000Z","orcid":["https://orcid.org/0000-0002-4656-515X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0003-3740-0019","https://orcid.org/0000-0002-9408-7981"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bd33173b-025f-4c50-aa15-0b853d4774bc","10.5285/bd33173b-025f-4c50-aa15-0b853d4774bc","doi:10.5285/bd33173b-025f-4c50-aa15-0b853d4774bc"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes stream and rainfall hydrochemistry of the Plynlimon (Pumlumon in Welsh) research catchments in Mid Wales. 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Sampling was carried out every four weeks by a team of researchers from UK Centre…","state":"published","title":"Plynlimon research catchment hydrochemistry (2023-2024)","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Edinburgh","Natural History Museum of Denmark","Marine Scotland","Joint Nature Conservation Committee"],"authorFamilyName":["Olszewska","Birch","Dobel","Grant","Ives","MacSporran","May","McKenzie","Taylor","Woods"],"authorFullName":["Olszewska, J.P.","Birch, E.","Dobel, A.","Grant, A.","Ives, S.","MacSporran, A.","May, L.","McKenzie, R.","Taylor, P.J.","Woods, H."],"authorGivenName":["J.P.","E.","A,","A.","S.","L.","R.","P.J.","H."],"authorOrcid":["https://orcid.org/0000-0002-4910-2206","https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0003-3385-9973","https://orcid.org/0000-0003-1663-9426"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/040ck2b86","https://ror.org/02kh2f959","https://ror.org/05tzsrw37"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises silica concentrations in water from Loch Leven, Scotland, between years 2007 and 2023. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of the long-term monitoring programme, which began in 1968 and is still underway. Sampling and analyses were conducted by UK Centre for Ecology & Hydrology (UKCEH). The data collection and processing were supported by the Natural Environment Research Council (NERC) award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Olszewska","Birch","Dobel","Grant","Ives","MacSporran","May","McKenzie","Taylor","Woods"],"fullName":["Justyna Olszewska","Olszewska, J.P.","Birch, E.","Dobel, A.","Grant, A.","Ives, S.","MacSporran, A.","May, L.","McKenzie, R.","Taylor, P.J.","Woods, H."],"funder":["Natural Environment Research Council"],"givenName":["J.P.","E.","A,","A.","S.","L.","R.","P.J.","H."],"grant":["NE/Y006208/1"],"identifier":"38e5d47b-9efb-44fb-8860-7fc4d885ab02","incomingCitationCount":0,"keyword":["Water quality","Environmental survey","Loch Leven","Scotland","Silica","Water chemistry","UK","lake"],"keywordsOther":["Loch Leven","Scotland","Silica","Water chemistry","UK","lake"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Water samples were processed and analysed using a colorimetric method in a laboratory in Edinburgh, with the results recorded into a database.  All data has been through a QA process, which is detailed in the supporting document.","locations":["POLYGON((-3.424 56.171, -3.424 56.224, -3.319 56.224, -3.319 56.171, -3.424 56.171))"],"metadataDate":"2026-06-29T09:40:00.000Z","orcid":["https://orcid.org/0000-0002-4910-2206","https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0003-3385-9973","https://orcid.org/0000-0003-1663-9426"],"organisation":["UK Centre for Ecology & Hydrology","University of Edinburgh","Natural History Museum of Denmark","Marine Scotland","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/38e5d47b-9efb-44fb-8860-7fc4d885ab02","10.5285/38e5d47b-9efb-44fb-8860-7fc4d885ab02","doi:10.5285/38e5d47b-9efb-44fb-8860-7fc4d885ab02"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/040ck2b86","https://ror.org/02kh2f959","https://ror.org/05tzsrw37","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises silica concentrations in water from Loch Leven, Scotland, between years 2007 and 2023. Loch Leven is a lowland lake in Scotland, United Kingdom. The data were collected as part of the long-term monitoring programme, which began in 1968 and is…","state":"published","title":"Loch Leven long-term monitoring data (silica concentrations), 2007-2023","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology","The James Hutton Institute","University of East Anglia","Scotlandâ€™s Rural College","University of Oslo","NERC Radiocarbon Facility"],"authorFamilyName":["Adams","Tipping","Keenan","Helliwell","Pedentchouk","Buckingham","Gjessing","Ascough","Bryant","Garnett"],"authorFullName":["Adams, J.L.","Tipping, E.","Keenan, P.","Helliwell, R.C.","Pedentchouk, N.","Buckingham, S.","Gjessing, E.","Ascough, P.","Bryant, C.L.","Garnett, M.H."],"authorGivenName":["J.L.","E.","P.","R.C.","N.","S.","C.L.","M.H."],"authorOrcid":["https://orcid.org/0000-0003-1825-0537","https://orcid.org/0000-0001-6618-6512"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/044e2ja82","https://ror.org/01xtthb56"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes dissolved organic radiocarbon content and dissolved organic carbon concentration data for river waters around the globe. 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","documentType":"GEMINI_DOCUMENT","familyName":["Adams","Tipping","Keenan","Helliwell","Pedentchouk","Buckingham","Gjessing","Ascough","Bryant","Garnett"],"fullName":["Adams, J.","Adams, J.L.","Tipping, E.","Keenan, P.","Helliwell, R.C.","Pedentchouk, N.","Buckingham, S.","Gjessing, E.","Ascough, P.","Bryant, C.L.","Garnett, M.H."],"funder":["Natural Environment Research Council"],"givenName":["Jess","J.L.","E.","P.","R.C.","N.","S.","C.L.","M.H."],"identifier":"06b219a8-b3ff-4db7-870a-4b1038ff53e2","incomingCitationCount":0,"keyword":["Water quality","soil water","groundwater","dissolved organic carbon","freshwater"],"keywordsOther":["soil water","groundwater","dissolved organic carbon","freshwater"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"We compiled literature data for DOC concentration, [DOC], and DO14C in soil solutions, which covered the period 1989-2015 and in groundwaters, covering the period 1988-2008. We based our compilation of data for rivers on that of Marwick et al. (2015), which covered the period 1991-2012; we added additional literature data, referring to sampling dates both before and after the Marwick et al. (2015) collection, to obtain results covering the period 1962-2015. Where necessary, we used digitisation software (ENGAUGE http://markummitchell.github.io/engauge-digitizer/) to extract data from graphed results. We also compiled river discharge data where available, for single sites with multiple observations.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:27:22.000Z","orcid":["https://orcid.org/0000-0003-1825-0537","https://orcid.org/0000-0001-6618-6512"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","The James Hutton Institute","University of East Anglia","Scotlandâ€™s Rural College","University of Oslo","NERC Radiocarbon Facility","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-12-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/06b219a8-b3ff-4db7-870a-4b1038ff53e2","10.5285/06b219a8-b3ff-4db7-870a-4b1038ff53e2","doi:10.5285/06b219a8-b3ff-4db7-870a-4b1038ff53e2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/044e2ja82","https://ror.org/01xtthb56","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes dissolved organic radiocarbon content and dissolved organic carbon concentration data for river waters around the globe. The riverine dataset contains already published (n=1163) and new (n=101) data between the years 1962 and 2015. Soil solution…","state":"published","supplementalDescription":["Marwick, T.R., Tamooh, F., Teodoru, C.R., Borges, A.V., Darchambeau, F., & Bouillon, S. (2015). \nThe age of river-transported carbon: A global perspective. \nGlobal Biogeochemical Cycles, 29(2), 122-137."],"supplementalName":["ENGAUGE digitisation software"],"title":"Global data for soil water, groundwater and riverine freshwater dissolved organic radiocarbon","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Exeter","CSIRO"],"authorFamilyName":["Ritchie","Smith"],"authorFullName":["Ritchie, P.D.L.","Smith, G.S."],"authorGivenName":["P.D.L.","G.S."],"authorOrcid":["https://orcid.org/0000-0002-7649-2991"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. ","documentType":"GEMINI_DOCUMENT","familyName":["Ritchie","Smith"],"fullName":["Ritchie, P.","Ritchie, P.D.L.","Smith, G.S."],"funder":["Natural Environment Research Council"],"givenName":["Paul","P.D.L.","G.S."],"grant":["NE/P007880/1"],"identifier":"2efac82b-2438-4806-999d-374663210c34","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsOther":["arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology & Hydrology. The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘full_UK’, available from https://code.metoffice.gov.uk/trac/roses-u.\n\nECO-AG outputs have been produced using an approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:13:12.000Z","orcid":["https://orcid.org/0000-0002-7649-2991"],"organisation":["University of Exeter","CSIRO","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efac82b-2438-4806-999d-374663210c34","10.5285/2efac82b-2438-4806-999d-374663210c34","doi:10.5285/2efac82b-2438-4806-999d-374663210c34"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary…","state":"published","title":"Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","University of Manchester"],"authorFamilyName":["Magee","Huxley","Tso"],"authorFullName":["Magee, E.","Huxley, D.","Tso, C.-.M."],"authorGivenName":["E.","D.","C.-H.M."],"authorOrcid":["https://orcid.org/0000-0002-2415-0826"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Jupyter notebook","Comma-separated values (CSV)"],"description":"This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment descriptors and land cover matched to the reaches. The training data is obtained from the Environmental Agency Water Quality Archive, 2010-2020. This method provides an effective way to map water quality data from stations to the river network.\n\nA live demo of a web application to visualize the dataset can be viewed at https://moisture-wqmlviewer.datalabs.ceh.ac.uk/wqml_viewer","documentType":"GEMINI_DOCUMENT","familyName":["Tso","Magee","Huxley"],"fullName":["Tso, M.","Magee, E.","Huxley, D.","Tso, C.-.M."],"givenName":["Michael","E.","D.","C.-H.M."],"identifier":"ba208b6c-6f1a-43b1-867d-bc1adaff6445","incomingCitationCount":0,"keyword":["UK-SCAPE","Modelling","Water quality","Hydrology","Jupyter notebook","Python","random forest model","web application","orthophosphate","River network","Machine learning","river","nitrate","modelling"],"keywordsOther":["Jupyter notebook","Python","random forest model","web application","orthophosphate","River network","Machine learning","river","nitrate","modelling"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Modelling","Water quality","Hydrology"],"licence":"Open government licence","lineage":"The machine learning model is trained on the following datasets:\n* Land cover map\n* NRFA Catchment descriptors\n* UKCEH digital river network of Great Britain (1:50,000)\n* Environmental Agency water quality archive\nMore information is provided in the supporting documentation accompanying this resource.\n\nPlease note that only a subset of the data (HA 72 Wyre and Lune) is provided for demonstration. This is because the underlying river network is separately licensed (https://catalogue.ceh.ac.uk/documents/7d5e42b6-7729-46c8-99e9-f9e4efddde1d). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:12:33.000Z","orcid":["https://orcid.org/0000-0002-2415-0826"],"organisation":["UK Centre for Ecology & Hydrology","University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-05T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ba208b6c-6f1a-43b1-867d-bc1adaff6445","10.5285/ba208b6c-6f1a-43b1-867d-bc1adaff6445","doi:10.5285/ba208b6c-6f1a-43b1-867d-bc1adaff6445"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This resource comprises two Jupyter notebooks that includes the model code in python to train a random forest model to predict long-term seasonal nitrate and orthophosphate concentrations at each river reach in Great Britain. The input features considered are catchment…","state":"published","supplementalName":["A live demo of the web application to visualize the model","Environment Agency water quality data archive"],"title":"Random forest model to predict long-term seasonal nitrate and orthophosphate concentrations in British river reaches","topic":["0/Modelling/","0/Water quality/","0/Hydrology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rennie"],"authorFullName":["Rennie, S."],"authorGivenName":["S."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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","familyName":["Rennie"],"fullName":["Rennie, S."],"givenName":["S."],"identifier":"9e044339-dd06-4f69-b93c-40a79562931c","incomingCitationCount":0,"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"],"keywordsOther":["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"],"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))"],"metadataDate":"2026-06-29T18:20:26.000Z","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"],"publicationDate":"2018-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e044339-dd06-4f69-b93c-40a79562931c","10.5285/9e044339-dd06-4f69-b93c-40a79562931c","doi:10.5285/9e044339-dd06-4f69-b93c-40a79562931c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"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…","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"]},{"authorAffiliation":["University of Edinburgh","Maldives Resilient Reefs"],"authorFamilyName":["Arnull","Tudhope","Wilson","Ganeshram","Hashim","Ziyadh"],"authorFullName":["Arnull, J.","Tudhope, A.W.","Wilson, A.M.W.","Ganeshram, R.S.","Hashim, A.S.","Ziyadh, A.M."],"authorGivenName":["J","A.W.","A.M.W.","R.S.","A.S.","A.M."],"authorOrcid":["https://orcid.org/0009-0007-0389-9292","https://orcid.org/0000-0003-1819-3325","https://orcid.org/0000-0002-5150-1310","https://orcid.org/0000-0003-4735-6752"],"authorRor":["https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of leaf extension rates of seagrass growth as the primary response variable; elemental and isotopic compositions of seagrass above- and below-ground biomass; seagrass morphological parameters; site-characterisation environmental parameters and temperature recorded over the experimental windows. \n\nThis dataset contains in-situ experimental information relating two separate nutrient enrichment experiments that were conducted in January/February 2022 and January 2023 over 2-week periods. The experiments were designed to understand the growth response of seagrass to elevated nutrient concentrations relative to controls plots. We used agricultural fertilisers to elevate local concentrations.  In 2022, we used a slow-release fertiliser and compared growth response rates at two contrasting site types with 3 treatment levels (Control, Low N and High N). In 2023, we used an all-purpose granular fertiliser, the same 3 treatment levels but varied how the fertiliser was delivered to the seagrass, i.e., water-column diffusion vs below-ground diffusion. Both experiments were conducted on the same island of Gan, in Laamu atoll, Maldives. \n\nThe work has been undertaken has been funded by the GCRF-UKRI South Asian Nitrogen Hub and enabled through the University of Edinburgh and Maldivian non-governmental organisation, Maldives Resilient Reefs.","documentType":"GEMINI_DOCUMENT","familyName":["Arnull","Tudhope","Wilson","Ganeshram","Hashim","Ziyadh"],"fullName":["Jessica Arnull","Arnull, J.","Tudhope, A.W.","Wilson, A.M.W.","Ganeshram, R.S.","Hashim, A.S.","Ziyadh, A.M."],"funder":["Natural Environment Research Council"],"givenName":["J","A.W.","A.M.W.","R.S.","A.S.","A.M."],"grant":["NE/S009019/1"],"identifier":"8760a6d4-b9df-406d-b910-678ab0f6557f","incomingCitationCount":0,"keyword":["Ecosystem services","Pollution","Water quality","Biodiversity","Indian Ocean","experimental study","enrichment","isotope","nitrogen","seagrass","coastal pollution"],"keywordsOther":["Indian Ocean","experimental study","enrichment","isotope","nitrogen","seagrass","coastal pollution"],"keywordsTheme":["Ecosystem services","Pollution","Water quality","Biodiversity"],"licence":"Non-Open government licence","lineage":"Seagrass biomass was collected from each plot and then analysed for elemental and isotopic compositions (percent carbon, percent nitrogen δ13C and δ15N). \n\nSeagrass morphological parameters were recorded at the start and end of the experiment, including information on percent cover of seagrass and algae, canopy height and leaf density. Seagrass sheath density was calculated by randomly throwing 20 x 0.25m2 quadrats around the perimeter of the experimental sites and the number of sheaths counted. \n\nEnvironmental data about the experimental sites was collected at the start of the experiments to characterise the environment. This included water quality sampling, sediment organic nitrogen and carbon content, water depth, sediment depth and grain size analysis. Temperature was logged throughout the experiments using HOBO loggers. \n\nManual checks were performed on the data points to look for any error in data entry or values reported outside the expected range. Any outliers were then investigated and corrected where appropriate.","locations":["POLYGON((73.523 1.856, 73.523 1.961, 73.56 1.961, 73.56 1.856, 73.523 1.856))"],"metadataDate":"2026-06-29T16:21:32.000Z","orcid":["https://orcid.org/0009-0007-0389-9292","https://orcid.org/0000-0003-1819-3325","https://orcid.org/0000-0002-5150-1310","https://orcid.org/0000-0003-4735-6752"],"organisation":["University of Edinburgh","Maldives Resilient Reefs","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8760a6d4-b9df-406d-b910-678ab0f6557f","10.5285/8760a6d4-b9df-406d-b910-678ab0f6557f","doi:10.5285/8760a6d4-b9df-406d-b910-678ab0f6557f"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of leaf extension rates of seagrass growth as the primary response variable; elemental and isotopic compositions of seagrass above- and below-ground biomass; seagrass morphological parameters; site-characterisation environmental parameters and temperature…","state":"published","title":"Leaf growth, nutrient, and stable isotope responses of seagrass exposed to nutrient enrichment, Laamu Atoll, Maldives, 2022-2023","topic":["0/Ecosystem services/","0/Pollution/","0/Water quality/","0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Glasgow","Brunel University of London","University of Auckland","University of the Philippines Diliman","University of Vienna"],"authorFamilyName":["Boothroyd","Williams","Hoey","Brierley","Tolentino","Guardian","Reyes","Sabillo","Quick","Perez","David"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Brierley, G.J.","Tolentino, P.L.M.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Quick, L.","Perez, J.E.G.","David, C.P.C."],"authorGivenName":["R.J.","R.D.","T.B.","G.J.","P.L.M.","E.L.","J.C.M.","C.J.","L.","J.E.G.","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/0000-0002-1310-1105","https://orcid.org/0000-0002-1803-9734","https://orcid.org/0000-0003-2725-4767"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03b94tp07","https://ror.org/03tbh6y23","https://ror.org/03prydq77"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Plain text","Shapefile"],"description":"This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived locational probabilities for 600 km2 of riverbed. The information is useful for predicting and developing resilience to river-related hazards in dynamic landscapes.\n\nWe provide example Google Earth Engine (GEE) and MATLAB codes to replicate satellite-derived locational probability analyses, and provide outputs for each catchment. Data sets include: (1) example GEE codes to run satellite imagery analyses; (2) example MATLAB codes and data to generate locational probabilities; (3) example MATLAB codes and data to produce longitudinal analyses; and, (4) processed locational probability outputs for the ten catchments.\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.","documentType":"GEMINI_DOCUMENT","familyName":["Boothroyd","Williams","Hoey","Brierley","Tolentino","Guardian","Reyes","Sabillo","Quick","Perez","David"],"fullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","Brierley, G.J.","Tolentino, P.L.M.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Quick, L.","Perez, J.E.G.","David, C.P.C."],"funder":["Natural Environment Research Council","Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD)"],"givenName":["R.J.","R.D.","T.B.","G.J.","P.L.M.","E.L.","J.C.M.","C.J.","L.","J.E.G.","C.P.C."],"grant":["NE/S003312/1"],"identifier":"a2bcc66e-4dcc-4ed1-897d-cdf36dde246d","incomingCitationCount":1,"keyword":["Hydrology","Modelling","geomorphic river mobility","locational probability","active river channel","river","geomorphology"],"keywordsOther":["geomorphic river mobility","locational probability","active river channel","river","geomorphology"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"We calculated locational probabilities from multi-temporal Landsat imagery. We processed a 32-year record of Landsat satellite imagery between 1988-2019 into two-year time-windows and classified active channels as including both wetted channels and unvegetated alluvial deposits; analogous to the bankfull channel extent. Having quality checked and manually edited the binary active channel outputs, we calculated per-pixel locational probabilities to indicate the spatial dynamics of geomorphic river mobility. \n\nQA was completed by visually checking the active channel extents against available imagery. The position of classified active river channels were in good visual agreement with satellite and aerial imagery (e.g. Landsat and Google Earth imagery).\n\nThe data set is fully described in the supporting documentation and the methods section of Boothroyd et al., (2025).","locations":["POLYGON((114.805 4.482, 114.805 21.376, 126.934 21.376, 126.934 4.482, 114.805 4.482))"],"metadataDate":"2026-06-29T17:05:44.000Z","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/0000-0002-1310-1105","https://orcid.org/0000-0002-1803-9734","https://orcid.org/0000-0003-2725-4767"],"organisation":["University of Glasgow","Brunel University of London","University of Auckland","University of the Philippines Diliman","University of Vienna","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d","10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d","doi:10.5285/a2bcc66e-4dcc-4ed1-897d-cdf36dde246d"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03b94tp07","https://ror.org/03tbh6y23","https://ror.org/03prydq77","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains satellite-derived information on geomorphic river mobility for ten catchments in the Philippines. We applied the locational probability approach to map the proportion of time that a river channel occupies a particular location. We quantified satellite-derived…","state":"published","supplementalDescription":["Boothroyd, R. J., Williams, R. D., Hoey, T. B., Brierley, G. J., Tolentino, P. L. M., Guardian, E. L., Reyes, J. C. M. O., Sabillo, C. J., Quick, L., Perez, J. E. G and David, C. P. C. (2025). Big data show idiosyncratic patterns and rates of geomorphic river mobility. Nature Communications"],"title":"Satellite-derived geomorphic river mobility for ten catchments in the Philippines, 1988-2019","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Alemany","Carter","Dodd","Hill","Keenan","Le Quesne","McShane","Moorhouse","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Alemany, A.","Carter, H.T.","Dodd, B.A.","Hill, I.","Keenan, P.O.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["Heidrun","Alba","H T","B. A.","Iain","P O","K","G","H","S J"],"authorOrcid":["https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England, that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in ug per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in ug per litre. Water samples are based on a sample integrated from 0 to 7m. Water chemistry values below the detection limit (LOD), are indicated by a < sign in the column titled 'sign(if<LOD)'. Please beware that the limits of detection for NH4N, TON, TOTP and SIO2 are reviewed annually and can fluctuate. Measurements are made from a boat at a marked location (buoy) at the deepest part of the basin. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2025 until the end of 2025.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Alemany","Carter","Dodd","Hill","Keenan","Le Quesne","McShane","Moorhouse","Rhodes","Thackeray"],"fullName":["Heidrun Feuchtmayr","Feuchtmayr, H.","Alemany, A.","Carter, H.T.","Dodd, B.A.","Hill, I.","Keenan, P.O.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["Heidrun","Alba","H T","B. A.","Iain","P O","K","G","H","S J"],"grant":["NE/Y006208/1"],"identifier":"5bf7b3b1-b70c-45b7-a415-a8a01d8523b6","incomingCitationCount":0,"keyword":["Climate and climate change","Environmental survey","Water quality","freshwater monitoring","temperature measurement","dissolved oxygen","water depth measurement","phytoplankton","environmental chemistry","lake basin"],"keywordsOther":["freshwater monitoring","temperature measurement","dissolved oxygen","water depth measurement","phytoplankton","environmental chemistry","lake basin"],"keywordsTheme":["Climate and climate change","Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.","locations":["POLYGON((-3 54.34, -3 54.43, -2.9 54.43, -2.9 54.34, -3 54.34))"],"metadataDate":"2026-06-29T17:00:16.000Z","orcid":["https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5bf7b3b1-b70c-45b7-a415-a8a01d8523b6","10.5285/5bf7b3b1-b70c-45b7-a415-a8a01d8523b6","doi:10.5285/5bf7b3b1-b70c-45b7-a415-a8a01d8523b6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the North Basin of Windermere in Cumbria, England, that began in 1945 for some…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, UK, 2025","topic":["0/Climate and climate change/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Burden","Norris","Evans","Grant","Williams","Callaghan","Pomeroy"],"authorFullName":["Burden, A.","Norris, D.A.","Evans, C.D.","Grant, S.J.","Williams, D.","Evans, D.","Callaghan, B.","Pomeroy, I."],"authorGivenName":["A.","D.A.","C.D.","S.J.","D.","B.","I."],"authorOrcid":["https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-7052-354X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Discharge data and in-stream temperature for a peatland headwater stream of the Conwy catchment, North Wales are presented from March 2008 until July 2011. The stream for which the data represents is the Nant y Brwyn situated on the Migneint blanket bog within Snowdonia National Park. The purpose of the data is to calculate annual run-off estimates for the Nant y Brwyn catchment and to provide support for estimating fluvial carbon fluxes. Note: there are gaps in this data set due to equipment/battery failures and/or freezing of the stream.\nNote dates added to dataset name on 22/06/2017","documentType":"GEMINI_DOCUMENT","familyName":["Burden","Norris","Evans","Grant","Williams","Callaghan","Pomeroy"],"fullName":["Burden, A.","Norris, D.A.","Evans, C.D.","Grant, S.J.","Williams, D.","Evans, D.","Callaghan, B.","Pomeroy, I."],"givenName":["Annette","A.","D.A.","C.D.","S.J.","D.","B.","I."],"identifier":"cd7db09f-edf6-4b06-b878-f1be6c649e3a","incomingCitationCount":0,"keyword":["Conwy Catchment","Wales","United Kingdom","Hydrology","hydrometry"],"keywordsOther":["hydrometry"],"keywordsPlace":["Conwy Catchment","Wales","United Kingdom"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Stage (or water depth) and temperature are measured by a Starflow Ultrasonic Doppler Instrument every 5 minutes and averaged and recorded automatically on to an integrated data logger every 15 minutes. This data is downloaded monthly on to a laptop and transferred on to the CEH shared drive which is in turn backed up each evening. The data is then integrated into a master file along with a diary entry for the visit detailing any relevant information or observations. This metadata is then used to help quality check the raw data, along with plotting the data to identify outliers that may be indicative of equipment failure. Data start/finish dates and times are checked to ensure a continuous data series or to note data gaps. A rating curve was produced by carrying out flow gauging over a wide range of stream flow conditions using a SonTek FlowTracker handheld ADV. A particular stream cross-section at the Starflow location was used consistently for these measurements. Velocity was determined at stations separated by 10 cm along the cross-section. Mean station velocity was measured at 0.6 * depth (Vmean=V0.6) and discharge calculated by the FlowTracker software using the default Mid Section discharge equation (Firmware Version 3.7). Calculated discharge was related to the Starflow measured stage averaged over the duration of the FlowTracker measurement (typically 30 to 60 minutes). The fitted regression curve indicated that discharge was exponentially related to stage for depths less than 0.267m, and followed a linear relationship for greater depths. The rating curve is then applied to the stage data to give the final discharge estimates. ","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"metadataDate":"2026-06-29T17:00:48.000Z","orcid":["https://orcid.org/0000-0002-7694-1638","https://orcid.org/0000-0002-7052-354X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2011-11-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cd7db09f-edf6-4b06-b878-f1be6c649e3a","10.5285/cd7db09f-edf6-4b06-b878-f1be6c649e3a","doi:10.5285/cd7db09f-edf6-4b06-b878-f1be6c649e3a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Discharge data and in-stream temperature for a peatland headwater stream of the Conwy catchment, North Wales are presented from March 2008 until July 2011. The stream for which the data represents is the Nant y Brwyn situated on the Migneint blanket bog within Snowdonia…","state":"published","title":"Conwy Catchment - Nant Y Brwyn Discharge dataset (2008-2011)","topic":["0/Hydrology/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rameshwaran","Roberts","Old","Naden"],"authorFullName":["Rameshwaran, P.","Roberts, C.","Old, G.H.","Naden, P."],"authorGivenName":["P.","C.","G.H."],"authorOrcid":["https://orcid.org/0000-0002-8972-953X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A range of hydraulics data including stages and discharges were collected for the River and Leat at Boxford between 01/04/2008 and 30/09/2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn Observatory comprises a 600 m reach of river and 24 acres of associated water meadows at Boxford, Berkshire. \nData include:\n  1. River flow gauging using Electro-magnetic Current Meter (ECM);\n  2. Leat flow gauging using Electro-magnetic Current Meter (ECM);\n  3. River flow gauging using Acoustic Doppler Current Profiler (ADCP);\n  4. River stage boards readings (eleven Stage boards);\n  5. Leat stage boards readings (six Stage boards);\n  6. River stage at water quality station (WQS) using Druck PDCR 1830 Submersible Pressure Transducer;\n  7. River stage at four stilling wells using SWS Technology Mini-Diver® Non-Vented Level Sensors with a built-in internal data logger (four locations);\n  8. Time series river discharges at Boxford which are calculated from the relationship obtained between discharge measurements taken monthly at Boxford using ADCP and total river discharges at Shaw gauging station;\n  9. Time series of the Leat discharges which are calculated from the relationship obtained between discharge measurements taken mo","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Roberts","Old","Naden"],"fullName":["Rameshwaran, P.","Roberts, C.","Old, G.H.","Naden, P."],"givenName":["P.","C.","G.H."],"identifier":"4ed6f721-b23b-454e-b185-02ba54d551f0","incomingCitationCount":2,"keyword":["The River Lambourn","Boxford","Berkshire","United Kingdom","Hydrology","Hydraulics data","Flow gauging","River stage","Time series data","hydraulics","river"],"keywordsOther":["Hydraulics data","Flow gauging","River stage","Time series data","hydraulics","river"],"keywordsPlace":["The River Lambourn","Boxford","Berkshire","United Kingdom"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Please read supporting document: Boxford_Hydraulics_Readme.csv","locations":["POLYGON((-1.387 51.443, -1.387 51.448, -1.382 51.448, -1.382 51.443, -1.387 51.443))"],"metadataDate":"2026-06-29T17:04:19.000Z","orcid":["https://orcid.org/0000-0002-8972-953X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1437062738409","CEH:EIDC::1437062738409","https://catalogue.ceh.ac.uk/id/4ed6f721-b23b-454e-b185-02ba54d551f0","10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0","doi:10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A range of hydraulics data including stages and discharges were collected for the River and Leat at Boxford between 01/04/2008 and 30/09/2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn…","state":"published","title":"Hydraulics data for the River Lambourn at Boxford, 2008 to 2014","topic":["0/Hydrology/"],"version":1.0,"view":["public","ponr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Elevation contour lines within the Severn catchment at 10 metre intervals.  Digitised from the scanned topographic maps.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"f329c533-f977-4d42-b9c0-243aa34b38a6","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Flood and Droughts Digital Research Infrastructure (FDRI)","Mapping","Hydrology","hydrology","water quality","hydrochemistry"],"keywordsOther":["hydrology","water quality","hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Mapping","Hydrology"],"licence":"Non-Open government licence","lineage":"The contour lines were digitised from the following scanned topographic map: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Natural Environmental Research Council. The contours were recorded as a series of points by Edinburgh University. They were converted into lines by CEH using ArcGIS 10 geo-processing tools.","locations":["POLYGON((-3.746 52.461, -3.746 52.498, -3.689 52.498, -3.689 52.461, -3.746 52.461))"],"metadataDate":"2026-06-27T19:13:00.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1364232406391","CEH:EIDC::1364232406391","https://catalogue.ceh.ac.uk/id/f329c533-f977-4d42-b9c0-243aa34b38a6"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Elevation contour lines within the Severn catchment at 10 metre intervals.  Digitised from the scanned topographic maps.","state":"published","title":"Plynlimon research catchments: Severn elevation contour lines","topic":["0/Mapping/","0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Aberdeen","Botswana International University of Science and Technology","International Water Management Institute","Botswana Department of Water and Sanitation"],"authorFamilyName":["Comte","Franchi","Villholth","Geris","Petros"],"authorFullName":["Comte, J.-.","Franchi, F.","Villholth, K.","Geris, J.","Petros, A."],"authorGivenName":["J.-C.","F.","K.","J.","A."],"authorOrcid":["https://orcid.org/0000-0002-5129-8391"],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Portable Network Graphics (png)"],"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","familyName":["Comte","Franchi","Villholth","Geris","Petros"],"fullName":["Comte, J.-.","Franchi, F.","Villholth, K.","Geris, J.","Petros, A."],"funder":["Natural Environment Research Council"],"givenName":["J.-C.","F.","K.","J.","A."],"grant":["NE/R002568/1"],"identifier":"4731c4da-91fc-4762-9c17-74c8749d4227","incomingCitationCount":0,"keyword":["Botswana","Hydrology","Conceptual hydrogeological model","Cross-section","Topography","Borehole","Groundwater-surface water relationships","water table","groundwater","geology"],"keywordsOther":["Conceptual hydrogeological model","Cross-section","Topography","Borehole","Groundwater-surface water relationships","water table","groundwater","geology"],"keywordsPlace":["Botswana"],"keywordsTheme":["Hydrology"],"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))"],"metadataDate":"2026-06-29T17:06:57.000Z","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"],"publicationDate":"2022-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4731c4da-91fc-4762-9c17-74c8749d4227","10.5285/4731c4da-91fc-4762-9c17-74c8749d4227","doi:10.5285/4731c4da-91fc-4762-9c17-74c8749d4227"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"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…","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"]},{"authorAffiliation":["University of Reading","British Geological Society","Environment Agency","Affinity Water","Syngenta"],"authorFamilyName":["Hawkins","Kelly","Loewenthal","Smith","Dudley","Leggatt","Dowman","Oliver","Collins","Clark"],"authorFullName":["Hawkins, C.E.","Kelly, T.J.","Loewenthal, M.","Smith, R.","Dudley, A.","Leggatt, A.","Dowman, S.","Oliver, R.G.","Collins, C.D.","Clark, J.M."],"authorGivenName":["C.E","T.J.","M.","R.","A.","S.","R.G.","C.D.","J.M."],"authorOrcid":["https://orcid.org/0000-0002-9007-0330","https://orcid.org/0000-0002-8282-2803","https://orcid.org/0000-0002-0412-8824"],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral scan from 197-720nm. Daily samples were also taken at 9am GMT and occasional storm samples were taken hourly and then analysed in the laboratory for pH, conductivity, turbidity, total suspended solids, non-purgeable organic carbon, UV-Vis spectral scan from 200-800nm and 12 pesticide concentrations: 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, MCPA, Mecoprop, Metaldehyde, Propyzamide, Quinmerac and Metazachlor. \n\nThis data was created as part of the TWENTY65 project, funded by the Engineering and Physical Sciences Research Council (Grant number: EP/N010124/1) and with some additional funding from Affinity Water and Syngenta. ","documentType":"GEMINI_DOCUMENT","familyName":["Hawkins","Kelly","Loewenthal","Smith","Dudley","Leggatt","Dowman","Oliver","Collins","Clark"],"fullName":["Hawkins, C.E.","Kelly, T.J.","Loewenthal, M.","Smith, R.","Dudley, A.","Leggatt, A.","Dowman, S.","Oliver, R.G.","Collins, C.D.","Clark, J.M.","Hawkins, C."],"funder":["Engineering and Physical Sciences Research Council"],"givenName":["C.E","T.J.","M.","R.","A.","S.","R.G.","C.D.","J.M.","Charlotte"],"grant":["EP/N010124/1"],"identifier":"331659d7-da72-48a2-9b52-63c003557990","incomingCitationCount":1,"keyword":["Water quality","River Loddon","Temperature","pH","UV - Vis spectral scan","Total suspended solids","2-4-D","2-4-D, Bentazone","Carbendazim","Carbetamide","Chlorotoluron","Clopyralid","MCPA","Mecoprop","Metaldehyde","Propyzamide","Quinmerac ","Metazachlor","turbidity","ammonium","dissolved oxygen"],"keywordsOther":["River Loddon","Temperature","pH","UV - Vis spectral scan","Total suspended solids","2-4-D","2-4-D, Bentazone","Carbendazim","Carbetamide","Chlorotoluron","Clopyralid","MCPA","Mecoprop","Metaldehyde","Propyzamide","Quinmerac ","Metazachlor","turbidity","ammonium","dissolved oxygen"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Water quality and flow data from the Bow Brook, a headwater tributary to the River Loddon. These data were collected via automatic sampling methods and then analysed either by on-site high frequency analysers or via laboratory analysis at the University of Reading and Affinity Water Limited laboratory (Staines-upon-Thames). The daily samples were usually collected weekly, and hourly storm samples were collected as soon as possible, and taken to the laboratory for analysis. Samples were stored in the fridge at 4°C on return to the laboratory and filtered within 48 hours of collection. For more details please see the supporting documentation.","locations":["POLYGON((-1.164 51.303, -1.164 51.356, -1.009 51.356, -1.009 51.303, -1.164 51.303))"],"metadataDate":"2026-06-29T18:31:44.000Z","orcid":["https://orcid.org/0000-0002-9007-0330","https://orcid.org/0000-0002-8282-2803","https://orcid.org/0000-0002-0412-8824"],"organisation":["University of Reading","British Geological Society","Environment Agency","Affinity Water","Syngenta","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-04-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/331659d7-da72-48a2-9b52-63c003557990","10.5285/331659d7-da72-48a2-9b52-63c003557990","doi:10.5285/331659d7-da72-48a2-9b52-63c003557990"],"resourceType":"Dataset","ror":["https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral…","state":"published","title":"High resolution water quality and flow monitoring data coupled with daily and storm samples from the Loddon catchment (Sept 2017-Sept 2018)","topic":["0/Water quality/"],"version":-1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Purse","Graeser","Searle","Edwards","Harris"],"authorFullName":["Purse, B.V.","Graeser, P.","Searle, K.","Edwards, C.","Harris, C."],"authorGivenName":["B.V.","P.","K.","C."],"authorOrcid":["https://orcid.org/0000-0001-5140-2710"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Esri ArcInfo Coverage","Shapefile"],"description":"These spatial layers quantify the predicted habitat suitability for Rhododendron ponticum across Scotland. These layers were developed with reference to this species role as reservoir host for Phytophthora plant pathogens, but should have value for management of Rhododendron ponticum as a problematic invasive species. The models were developed by combining biological records of R. ponticum with climate, soil, elevation and woodland cover data. The dataset contains averaged estimates for R. ponticum presence, associated standard deviation for each estimate and locations where environmental conditions in the study region strayed too far from the training set data. This research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forest Research, Forestry Commission and Centre for Ecology & Hydrology (CEH).","documentType":"GEMINI_DOCUMENT","familyName":["Purse","Graeser","Searle","Edwards","Harris"],"fullName":["Purse, B.","Purse, B.V.","Graeser, P.","Searle, K.","Edwards, C.","Harris, C."],"givenName":["Beth","B.V.","P.","K.","C."],"identifier":"b984a173-8d80-4781-8a53-bef7bcb0d198","incomingCitationCount":0,"keyword":["Scotland","Invasive species","Modelling","Phytophthora kernoviae","Phytophthora ramorum","Rhododendron ponticum"],"keywordsOther":["Phytophthora kernoviae","Phytophthora ramorum","Rhododendron ponticum"],"keywordsPlace":["Scotland"],"keywordsTheme":["Invasive species","Modelling"],"licence":"Open government licence","lineage":"Alexandra Schlenzig at SASA provided advice on premise types. Jim McCleod and Steve Albon from the Macaulary Land Use Research Institute provided the soil data. Prof. David Rogers and the Spatial Ecology and Epidemiology Group at Oxford University provided the MODIS data. Adam Butler at Biomathematics and Statistics Scotland (BioSS) provided statistical advice. Local Record Centres and their contributing biological recorders provided the R. ponticum data. Based on previous empirical studies of the habitat associations of R. ponticum, seven environmental predictors were selected apriori for modelling. R. ponticum data and environmental data were to run the Maximum Entropy (MaxEnt; version 3.3.3e) model. MaxEnt was selected to create the suitability maps from amongst Species Distribution Model techniques because it is specialised for presence-only biological records and is consistently competitive with the highest performing methods. More details on the data and model can be found in the supporting documentation.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:00:22.000Z","orcid":["https://orcid.org/0000-0001-5140-2710"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-07-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b984a173-8d80-4781-8a53-bef7bcb0d198","10.5285/b984a173-8d80-4781-8a53-bef7bcb0d198","doi:10.5285/b984a173-8d80-4781-8a53-bef7bcb0d198"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These spatial layers quantify the predicted habitat suitability for Rhododendron ponticum across Scotland. These layers were developed with reference to this species role as reservoir host for Phytophthora plant pathogens, but should have value for management of Rhododendron…","state":"published","supplementalDescription":["Purse, B. V., Graeser, P., Searle, K., Edwards, C., & Harris, C. (2012). Challenges in predicting invasive reservoir hosts of emerging pathogens: mapping Rhododendron ponticum as a foliar host for Phytophthora ramorum and Phytophthora kernoviae in the UK. Biological Invasions, 15(3), 529-545. "],"title":"Habitat suitability maps for Rhododendron ponticum across Scotland as reservoir host for Phytophthora","topic":["0/Invasive species/","0/Modelling/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Citizen Science Volunteer, Karainagar, Sri Lanka","University of Jaffna","UK Centre for Ecology & Hydrology","Swedish University of Agricultural Sciences"],"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."],"authorGivenName":["K.T.","S.","I.","P.","B.","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"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"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","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."],"funder":["Natural Environment Research Council","World Bank"],"givenName":["K.T.","S.","I.","P.","B.","N."],"grant":["NE/X006247/1","AHEAD-R2-DOR6"],"identifier":"bce114d8-8f3b-49e0-90c6-f0788c1e9a0d","incomingCitationCount":0,"keyword":["Hydrology","Climate and climate change","Dug Well","Groundwater","Hydrology ","Karainagar Island","Rainfall","Sri Lanka","Water Level","Citizen Science "],"keywordsOther":["Climate and climate change","Dug Well","Groundwater","Hydrology ","Karainagar Island","Rainfall","Sri Lanka","Water Level","Citizen Science "],"keywordsTheme":["Hydrology"],"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))"],"metadataDate":"2026-06-29T16:20:11.000Z","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"],"publicationDate":"2025-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bce114d8-8f3b-49e0-90c6-f0788c1e9a0d","10.5285/bce114d8-8f3b-49e0-90c6-f0788c1e9a0d","doi:10.5285/bce114d8-8f3b-49e0-90c6-f0788c1e9a0d"],"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"],"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…","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"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Furse","Bass","Blackburn","Gunn","Inglebrot","Matthews","Symes","Winder","Clarke"],"authorFullName":["Furse, M.T.","Bass, J.","Blackburn, J.H.","Gunn, R.J.M.","Inglebrot, M.","Matthews, A.","Symes, K.","Winder, J.M.","Clarke, R.T."],"authorGivenName":["M.T.","J.","J.H.","R.J.M.","M.","A.","K.","J.M.","R.T."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 1990. Macro-invertebrates were sampled using standard protocols.  The sample area in each stream was a single area of stream-bed whose major habitat types can be sampled within the recommended sampling period of three minutes of active sampling, supplemented by a one minute hand search. The length of river surveyed would normally vary from 5 to 15m. Samples were collected using a standard 1mm mesh pond net and returned to the Centre for Ecology & Hydrology (formerly Institute of Freshwater Ecology) for later sorting and identification. Supplemental physical measurements (width, depth, substrate composition) required to run RIVPACS (River Invertebrate Prediction and Classification System) were taken.\n\nData were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Headwater stream surveys have been carried out in 1990, 1998 and 2007 with repeated visits to the majority of sites. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to headwater stream data, soil data, habitat areas, vegetation species data and linear habitat data are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Scarlett","Furse","Bass","Blackburn","Gunn","Inglebrot","Matthews","Symes","Winder","Clarke"],"fullName":["Scarlett, P.","Furse, M.T.","Bass, J.","Blackburn, J.H.","Gunn, R.J.M.","Inglebrot, M.","Matthews, A.","Symes, K.","Winder, J.M.","Clarke, R.T."],"givenName":["P.","M.T.","J.","J.H.","R.J.M.","M.","A.","K.","J.M.","R.T."],"identifier":"b4c17f35-1b50-4ed7-87d2-b63004a96ca2","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","Water quality","Freshwater macroinvertebrates"],"keywordsOther":["Freshwater macroinvertebrates"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Data were collected in the summer of 1990 by field surveyors. Data were recorded from up to 508 1km squares sited across Britain, selected by random stratified sample. The survey was undertaken according to standardized protocols. Occurrence of species was recorded on paper and data were entered post-survey. Data are managed by the Centre for Ecology & Hydrology.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:22:37.000Z","organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"publicationDate":"2016-11-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4c17f35-1b50-4ed7-87d2-b63004a96ca2","10.5285/b4c17f35-1b50-4ed7-87d2-b63004a96ca2","doi:10.5285/b4c17f35-1b50-4ed7-87d2-b63004a96ca2"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This dataset consists of invertebrate species records, sampled from headwater streams during a survey in 1990. Macro-invertebrates were sampled using standard protocols.  The sample area in each stream was a single area of stream-bed whose major habitat types can be…","state":"published","supplementalDescription":["Furse, M.T.;Davy-Bowker, J.; Dawson, F.H.; Gunn, R.J.M. ... Clarke, R.T.; Watkins, J.W. Countryside Survey 2000 R&D Technical Report E1-038/TR1.  Freshwater Studies"],"supplementalName":["Project report","Countryside survey website"],"title":"Headwater stream invertebrate data 1990 [Countryside Survey]","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Sayers and Partners Consultancy"],"authorFamilyName":["Griffin","Kay","Bell","Stewart","Sayer","Carr"],"authorFullName":["Griffin, A.","Kay, A.","Bell, V.A.","Stewart, E.J.","Sayer, P.","Carr, S."],"authorGivenName":["A.","V.A.","E.J.","P.","S."],"authorOrcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-4246-6645","https://orcid.org/0000-0003-2160-1959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile"],"description":"This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated annual probability of exceedance for each 1km grid-square on the GB river network. The data is extracted from daily time series data from the Grid-to-Grid model, using UKCP18 12km regional projections from 12 members of a perturbed parameter ensemble, over the periods Dec 1980 – Nov 2010 and Dec 2050 – Nov 2080 (based on 360-day years). Multi-day events were summarised by taking cell-wise flow maxima. \n\nThis data was generated for use in analysis of risk through catastrophe modelling using the Future Flows Explorer. It was generated and interpreted by UKCEH, working with Sayers & Partners Consultancy, as part of the AquaCAT project, part of the UK Climate Resilience Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Griffin","Kay","Bell","Stewart","Sayer","Carr"],"fullName":["Griffin, A.","Kay, A.","Bell, V.A.","Stewart, E.J.","Sayer, P.","Carr, S."],"givenName":["Adam","A.","V.A.","E.J.","P.","S."],"identifier":"26ce15dd-f994-40e0-8a09-5f257cc1f2ab","incomingCitationCount":2,"keyword":["Hydrology","Environmental risk","Flood frequency"],"keywordsOther":["Flood frequency"],"keywordsTheme":["Hydrology","Environmental risk"],"licence":"Open government licence","lineage":"Hydrological flow records were generated using Grid-to-Grid and UKCP18 12km regional projections. Widespread events were selected for which daily flow exceeded a 99.5% percentile simultaneously over at least 20km^2. Multi-day events (consecutive days for which the above conditions were met) are summarised by pointwise maxima of flow.\n\nProbabilities of exceedance are computed pointwise using a mixed distribution, with an empirical distribution used for non-extreme values (below the 99.5% percentile) and a Generalised Pareto distribution used above, both fitted to the full time series of daily flow.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:19:23.000Z","orcid":["https://orcid.org/0000-0001-8645-4561","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0003-4246-6645","https://orcid.org/0000-0003-2160-1959"],"organisation":["UK Centre for Ecology & Hydrology","Sayers and Partners Consultancy","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26ce15dd-f994-40e0-8a09-5f257cc1f2ab","10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab","doi:10.5285/26ce15dd-f994-40e0-8a09-5f257cc1f2ab"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Sayers and Partners Consultancy"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a set of 24 gridded netcdf files, each including data describing a total of 14,400 widespread flooding events across mainland GB, with event selection based on a peaks-over-threshold approach. The data describes peak river flow in m3/s and the associated…","state":"published","title":"Peak flow and probability of exceedance data for Grid-to-Grid modelled widespread flooding events across mainland GB from 1980-2010 and 2050-2080","topic":["0/Hydrology/","0/Environmental risk/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Bristol","Fathom Global"],"authorFamilyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"authorFullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"authorGivenName":["G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"authorOrcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration).  The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK.\n\nThe dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis.  MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","familyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"fullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"funder":["Natural Environment Research Council"],"givenName":["Gemma","G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"grant":["NE/L010399/1"],"identifier":"d770b12a-3824-4e40-8da1-930cf9470858","incomingCitationCount":1,"keyword":["Great Britain","MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)","Hydrology","Modelling","DECIPHeR","Uncertainty","flow","drought","river"],"keywordsOther":["DECIPHeR","Uncertainty","flow","drought","river"],"keywordsPlace":["Great Britain"],"keywordsProject":["MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The modelled flow data are output from the DECIPHeR hydrological model (Coxon et al, 2019; https://doi.org/10.5194/gmd-12-2285-2019).   The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and CHESS-PE (Robinson et al, 2016; https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7).\n\nDECIPHeR (V1) was run from 1961-2015 using 100,000 monte carlo model parameter sets.  Model performance was evaluated over a 54 year timeseries (1962-2015) using a multi-objective approach comprising four evaluation metrics.  The evaluation metrics were chosen to quantify the model’s ability to capture a range of hydrologic behaviour including maintaining overall water balance, capturing flow variability, reproducing low and high flows and the timing of flows.  \n\nThe top ‘multi-objective’ scoring 100 model simulations for each of the 1,366 gauges are supplied as daily river flow timeseries.  Metadata comprising the model parameters and performance for the 100 ensemble members is also supplied to allow the user to interrogate the performance of the model and assist in the interpretation of the results.\n\nSee supporting information document for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:17:30.000Z","orcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"organisation":["University of Bristol","Fathom Global","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-08-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d770b12a-3824-4e40-8da1-930cf9470858","10.5285/d770b12a-3824-4e40-8da1-930cf9470858","doi:10.5285/d770b12a-3824-4e40-8da1-930cf9470858"],"resourceType":"Dataset","ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall…","state":"published","supplementalDescription":["Model code"],"supplementalName":["National River Flow Archive (NRFA)","MaRIUS: Managing the Risks, Impacts and Uncertainties of drought and water Scarcity","DECIPHeR: DECIPHeR V1"],"title":"DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=3&facet=topic%7C(0/Water%20quality/%20OR%200/Modelling/%20OR%200/Hydrology/)"}