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hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one or more outlets to the sea or tidal estuary, or they may include several contiguous river catchments having topographical similarity but separate tidal outlets. Hydrometric Areas are the coarsest units of the IHU in terms of spatial resolution. This dataset represents the same entities as the Hydrometric Areas with Coastline. The coastline of Hydrometric Areas without Coastline follows the boundaries of the CEH Integrated Hydrological Digital Terrain Model, from which IHU were derived, while the coastline used in Hydrometric Areas with Coastline was derived from Ordnance Survey data. The Hydrometric Areas without Coastline currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Kral","Dixon"],"fullName":["Fry, M.","Kral, F.","Dixon, H."],"givenName":["Matt","F.","M.","H."],"identifier":"3a4e94fc-4c68-47eb-a217-adee2a6b02b3","incomingCitationCount":1,"keyword":["United Kingdom","Great Britain","England","Wales","Scotland","Hydrology","hydrology","watershed","catchment"],"keywordsOther":["hydrology","watershed","catchment"],"keywordsPlace":["United Kingdom","Great Britain","England","Wales","Scotland"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"The main inputs for development of Integrated Hydrological Units (IHU) of the UK were data held by the Centre for Ecology & Hydrology. Specifically, the cumulative catchment area raster and outflow raster from the Integrated Hydrological Digital Terrain Model (IHDTM) [1]. The vast majority of the watercourse names come from the subset of CEH UK river centreline network enriched by names from Ordnance Survey 1:50K Gazetteer [2]. Some names were obtained from or verified using other readily available sources like OpenStreetMap (openstreetmap.org) and WikiPedia (wikipedia.org). Bespoke FORTRAN functions, part of the CEH Flood Estimation Handbook code set, were used for catchment delineation. These functions enable sensible interlocking catchments boundaries to be created for the whole IHDTM surface. The option that does not leave gaps between catchments was specified [1]. Except for the catchment delineation, ArcGIS was used as the main GIS platform. Custom Python code was developed to drive the whole process and to perform hierarchical and network tasks. The full name of each IHU Section was derived from three rivers defining the section: the largest (in terms of cumulative catchment area) inflowing river other than the main river in the Section, the main river in the Section, and the largest river flowing into the downstream Section. If no such inflows exist, words'Source', 'Sea', or the name of the main river in the downstream Section are used as appropriate. A similar approach was adopted for IHU Group names, although group names were edited manually to a great extent to ensure they are simple and readily understood. \n\n[1] Morris, D.G. and Flavin, R.W. 1990. A Digital Terrain Model for Hydrology. Proc 4th Int. Symposium on Spatial Data Handling. Zurich, 1, 250-262.\n\n[2] Moore R V, Morris D G and Flavin R W, 1994. Sub-set of UK digital 1:50,000 scale river centreline network. NERC, Institute of Hydrology, Wallingford.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:50:10.000Z","orcid":["https://orcid.org/0000-0002-7415-063X"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-02-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380947383","CEH:EIDC::1425380947383","https://catalogue.ceh.ac.uk/id/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. Hydrometric Areas are either integral river catchments having one…","state":"published","supplementalDescription":["National River Flow Archive website providing access to river flow data downloads as well as contact information for the NRFA enquirers service which provides other datasets and monthly, annual and occasional reports on river flow conditions."],"supplementalName":["National River Flow Archive website"],"title":"Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robinson","Kay","Brown","Lane","Bell","Blyth"],"authorFullName":["Robinson, E.L.","Kay, A.L.","Brown, M.J.","Lane, R.A.","Bell, V.A.","Blyth, E.M."],"authorGivenName":["E.L.","A.L.","M.J.","R.A.","V.A.","E.M."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables were calculated from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] gridded observed meteorological data at 1 km resolution.  The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded NetCDF files. There is one file for each variable, for each calendar month.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Kay","Brown","Lane","Bell","Blyth"],"fullName":["Robinson, E.L.","Kay, A.L.","Brown, M.J.","Lane, R.A.","Bell, V.A.","Blyth, E.M.","Robinson, E."],"funder":["Natural Environment Research Council"],"givenName":["E.L.","A.L.","M.J.","R.A.","V.A.","E.M.","Emma"],"grant":["NE/S017380/1"],"identifier":"bcec9c33-f863-464e-ac28-73b981bd40a4","incomingCitationCount":0,"keyword":["Climate Hydrology and Ecology Research Support System (CHESS)","Hydrology","hydrology","modelling","evapotranspiration","evaporation","potential evaporation","potential evaptranspiration"],"keywordsOther":["hydrology","modelling","evapotranspiration","evaporation","potential evaporation","potential evaptranspiration"],"keywordsProject":["Climate Hydrology and Ecology Research Support System (CHESS)"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"This dataset was derived from the Climate Hydrology and Ecology research Support System meteorology dataset for Great Britain (1961-2019) [CHESS-met] at 1 km resolution over the United Kingdom for the years 1961-2019. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. \n\nThe CHESS-met meteorological variables used were daily mean air temperature at 1.2 m (K), specific humidity at 1.2 m(kg kg-1), surface air pressure (Pa), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), monthly mean wind speed at 10 m (m s-1) and precipitation (kg m-2 s-1). A description of the methodology is available in the supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:23:45.000Z","orcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bcec9c33-f863-464e-ac28-73b981bd40a4","10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4","doi:10.5285/bcec9c33-f863-464e-ac28-73b981bd40a4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains two gridded potential evapotranspiration variables for Great Britain from 1961-2019: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). The variables…","state":"published","title":"Potential evapotranspiration derived from Climate Hydrology and Ecology Research Support System meteorological gridded climate observations (Hydro-PE CHESS), 1961-2019","topic":["0/Hydrology/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Robinson","Kay","Brown","Chapman","Bell","Blyth"],"authorFullName":["Robinson, E.L.","Kay, A.L.","Brown, M.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"authorGivenName":["E.L.","A.L.","M.","R.","V.A.","E.M."],"authorOrcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5) scenario. This dataset contains two potential evapotranspiration variables: daily total potential evapotranspiration (PET; kg m-2 d-1) and daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1). PET and PETI were calculated for each member of the UKCP18 RCM perturbed parameter ensemble. The units kg m-2 d-1 are equivalent to mm d-1. The data are provided in gridded netCDF files. There is one file for each variable, for each ensemble member, for each decade.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Kay","Brown","Chapman","Bell","Blyth"],"fullName":["Robinson, E.","Robinson, E.L.","Kay, A.L.","Brown, M.","Chapman, R.","Bell, V.A.","Blyth, E.M."],"givenName":["Emma","E.L.","A.L.","M.","R.","V.A.","E.M."],"identifier":"eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","incomingCitationCount":8,"keyword":["Climate and climate change","Hydrology","Modelling","Potential evaporation","Potential evapotranspiration","evaporation","evapotranspiration"],"keywordsOther":["Potential evaporation","Potential evapotranspiration","evaporation","evapotranspiration"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Open government licence","lineage":"This dataset was derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional Projections on a 12km grid over the UK for 1980-2080 (https://catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604, v20190731, v20190731), which is a twelve member perturbed parameter ensemble of climate model projections for representative concentration pathway (RCP) scenario RCP8.5. The daily total potential evapotranspiration (PET; kg m-2 d-1) was calculated using the Penman-Monteith equation parameterised for a well-watered grass surface. The daily total potential evapotranspiration with interception correction (PETI; kg m-2 d-1), was calculated as PET then a correction added for interception by a grass canopy on days with non-zero precipitation. The UKCP18 meteorological variables used were daily mean values of: specific humidity at 1.5 m (kg kg-1); sea level pressure (hPa); net surface long wave flux (W m-2); net surface short wave flux (W m-2); wind speed at 10 m (m s-1); air temperature at 1.5 m (degC); precipitation (mm d-1; used for PETI only). Other variables used were the surface elevation (m; https://data.ceda.ac.uk/badc/ukcp18/data/land-rcm/ancil/orog), atmospheric CO2 concentrations (ppmv), and land-sea mask that were used when running the climate model. A description of the methodology is available in the supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:23:51.000Z","orcid":["https://orcid.org/0000-0002-3746-4517","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0002-3842-1420","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0002-5052-238X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-08-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4","doi:10.5285/eb5d9dc4-13bb-44c7-9bf8-c5980fcf52a4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded potential evapotranspiration calculated from United Kingdom Climate Projections 2018 (UKCP18) regional climate model (RCM) ensemble at 12 km resolution over the United Kingdom for the years 1980-2080 under the Representative Concentration Pathway 8.5 (RCP8.5)…","state":"published","supplementalName":["UKCP18 Regional Projections on a 12km grid over the UK for 1980-2080"],"title":"Potential evapotranspiration derived from the UK Climate Projections 2018 Regional Climate Model ensemble 1980-2080 (Hydro-PE UKCP18 RCM)","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["AgResearch","Inholland University of Applied Sciences","University of Antananarivo","University of Zurich"],"authorFamilyName":["Ghimire","Zwartendijk","Ravelona","Lahitiana","van Meerveld"],"authorFullName":["Ghimire, C.P.","Zwartendijk, B.W.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"authorGivenName":["C.P.","B.W.","M.","J. ","H.J."],"authorOrcid":["https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-7547-3270"],"authorRor":["https://ror.org/0124gwh94","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e., young secondary forest), and degraded grassland. The plots are located within 2.5 km from each other. See the supporting documentation for detailed information on the plots. Data collection continued for one year (October 2014-September 2015) at each plot and included micrometeorological data (rainfall, temperature, relative humidity, wind speed), soil moisture and overland flow, and for the two forested plots also throughfall, stemflow and sapflow.","documentType":"GEMINI_DOCUMENT","familyName":["Ghimire","Zwartendijk","Ravelona","Lahitiana","van Meerveld"],"fullName":["Ghimire, C.P.","Zwartendijk, B.W.","Ravelona, M.","Lahitiana, J.","van Meerveld, H.J."],"funder":["Natural Environment Research Council"],"givenName":["C.P.","B.W.","M.","J. ","H.J."],"grant":["NE/K010417/1"],"identifier":"5d080fef-613a-4f24-a613-b249ccdd12bf","incomingCitationCount":0,"keyword":["Madagascar","Hydrology","Secondary Forest","Degraded Grassland","Runoff Plots","Throughfall","Stemflow","Overland Flow","soil moisture","atmospheric precipitation","runoff","grassland"],"keywordsOther":["Secondary Forest","Degraded Grassland","Runoff Plots","Throughfall","Stemflow","Overland Flow","soil moisture","atmospheric precipitation","runoff","grassland"],"keywordsPlace":["Madagascar"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The meteorological data were collected on a meteorological tower at each plot, except for the forested plot where the tower was located in a nearby clearing. Rainfall was collected automatically using a typing bucket raingauge. For the two forested plots, throughfall was measured daily using 66 funnel gauges and automatically using three troughs, and stemflow was collected daily. Soil moisture was measured automatically at different depths below the surface. Runoff was collected in drums below bounded runoff plots and measured daily. The methods used to collect the hydrological and meteorological data at each plot and the data processing steps are described in more detail in the \"Methods.rtf\" file","locations":["POLYGON((43.191 -25.608, 43.191 -11.945, 50.483 -11.945, 50.483 -25.608, 43.191 -25.608))"],"metadataDate":"2026-06-29T18:30:18.000Z","orcid":["https://orcid.org/0000-0002-3715-6311","https://orcid.org/0000-0002-0581-7330","https://orcid.org/0000-0002-7547-3270"],"organisation":["AgResearch","Inholland University of Applied Sciences","University of Antananarivo","University of Zurich","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d080fef-613a-4f24-a613-b249ccdd12bf","10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf","doi:10.5285/5d080fef-613a-4f24-a613-b249ccdd12bf"],"resourceType":"Dataset","rightsHolder":["University of Zurich"],"ror":["https://ror.org/0124gwh94","https://ror.org/03cfsyg37","https://ror.org/02w4gwv87","https://ror.org/02crff812","https://ror.org/04xw4m193"],"shortenedDescription":"Hydrological and meteorological data were collected for three plots (each 50 x 50 m in size) near Andasibe village in the Corridor Ankeniheny-Zahamena (CAZ) in eastern Madagascar. The plots differ in terms of land cover: semi-mature forest, reforested tree fallow (i.e.,…","state":"published","supplementalName":["Ecosystem services for poverty alleviation (ESPA)","P4GES: Can Paying for Global Ecosystem Services reduce poverty?"],"title":"Hydrological and meteorological data for three plots with different vegetation near Andasibe, Madagascar, 2014-2015","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:45.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde","doi:10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided…","state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","James","Mackay","Pereira","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","James, J.B.","Mackay, E.B.","Pereira, M.G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","M.G.","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0003-3541-5903"],"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 Grasmere in Cumbria, England that began in 1968 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 µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2014 until the end of March 2018. Unfortunately, due to funding shortages, the long-term monitoring of Grasmere ended in March 2018.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Fletcher","Guyatt","James","Mackay","Pereira","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Fletcher, J.","Guyatt, H.","James, J.B.","Mackay, E.B.","Pereira, M.G.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","J.","J.B.","E.B.","M.G.","G.","S.J.","S.C."],"grant":["NE/R016429/1"],"identifier":"86cce079-9410-4948-978a-1c92ff3d604c","incomingCitationCount":0,"keyword":["UK-SCAPE","Environmental survey","Water quality"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions (marked as Flag 2). Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories .","locations":["POLYGON((-3.035 54.44, -3.035 54.458, -3.003 54.458, -3.003 54.44, -3.035 54.44))"],"metadataDate":"2026-06-30T10:38:04.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/86cce079-9410-4948-978a-1c92ff3d604c","10.5285/86cce079-9410-4948-978a-1c92ff3d604c","doi:10.5285/86cce079-9410-4948-978a-1c92ff3d604c"],"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 Grasmere in Cumbria, England that began in 1968 for some variables. The data have…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Grasmere, 2014 to 2018","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Birmingham"],"authorFamilyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"authorFullName":["Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"authorGivenName":["L.","K.","C.","G."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing methods for urban storm flow characterization. Two sediment types were assessed along with three size fractions across concentration ranges from 0 mg/L to 5000 mg/L. Absorbance was recorded at key wavelengths between 190 – 360 nm and particle size distribution and organic content (loss on ignition) measured for each sediment type and size fraction.  \n\nThe work was supported by the Natural Environment Research Council (Grant NE/X011178/1).\n","documentType":"GEMINI_DOCUMENT","familyName":["Mignanelli","Khamis","Bradley","Sambrook-Smith"],"fullName":["Kieran Khamis","Mignanelli, L.","Khamis, K.","Bradley, C.","Sambrook-Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["L.","K.","C.","G.","Kieran"],"grant":["NE/X011178/1"],"identifier":"ee577b07-1a2c-4541-bf30-e2ea048e15e1","incomingCitationCount":0,"keyword":["Water quality","Suspended sediment","Optical sensors"],"keywordsOther":["Suspended sediment","Optical sensors"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements were taken using a commercially available absorbance sensor, Trios Opus (TriOS GmbH, Germany) at 1 minute intervals. Sediments were sieved into size fractions and particle size was quantified using  a Malvern Mastersizer 2000  (Malvern, UK) and organic content was assessed using the Loss on Ignition method.\n\nThe experimental setup consisted of a 5 L beaker filled with 4 L of deionized water, a large stirrer set to a constant rpm, and an opaque surround to minimize interference from ambient light on sensor measurements. The sensor was placed in the centre of the beaker, ~5 cm above the stirrer blade. To verify uniform mixing, subsamples were taken directly beside the optical window of the sensor and at two other locations within the beaker. These subsamples were analysed using a commercial handheld turbidimeter (Sper Scientific Portable Turbidity Meter 860040) at predefined calibration points to confirm consistent turbidity. Turbidity readings were stable and comparable across all sample positions at each calibration point.\n\nEach measurement cycle consisted of 15 calibration points spanning SSC concentrations from 0 to 5000 mg/L. During calibration, sensors recorded data continuously for 20 minutes, and once measurements had stabilized, 10 readings were randomly selected for further analysis.\n\nAll absorbance data were recorded by the TriOS Opus sensor and exported in CSV format, LOI data (weight measurements) were initially recorded on paper, then transferred into an Excel spreadsheet and particle size  data from the Mastersizer were exported as CSV files and imported into statistical software for analysis.  Records were screened for  any missing or null values and data points were checked to ensure they fell within expected ranges (e.g. in case of data entry errors). \n\n\n","locations":["POLYGON((-2.092 52.386, -2.092 52.545, -1.733 52.545, -1.733 52.386, -2.092 52.386))"],"metadataDate":"2026-06-29T18:20:47.000Z","organisation":["University of Birmingham","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-04-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ee577b07-1a2c-4541-bf30-e2ea048e15e1","10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1","doi:10.5285/ee577b07-1a2c-4541-bf30-e2ea048e15e1"],"resourceType":"Dataset","rightsHolder":["University of Birmingham"],"ror":["https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information about submersible absorbance sensor responses to varying suspended sediment concentration, grain size and organic content. Laboratory tests were conducted at the University of Birmingham, UK, during 2023 as part of a wider study developing…","state":"published","title":"UV absorbance of suspended sediments measured in a laboratory using a submersible spectrophotometer","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","British Geological Survey","University of Edinburgh","British Antarctic Survey","National Oceanography Centre"],"authorFamilyName":["Grant","Arrowsmith","Barry","Bowes","Callaghan","Eades","Fournier","Hendry","Mawji","O'Brien","Olszewska","Pickard","Tandy","Spears"],"authorFullName":["Grant, A.L.","Arrowsmith, C.","Barry, C.","Bowes, M.J.","Callaghan, N.","Eades, L.J.","Fournier, I.","Hendry, K.","Mawji, E.","O'Brien, A.","Olszewska, J.P.","Pickard, A.E.","Tandy, S.","Spears, B.M."],"authorGivenName":["A.L","C","M.J","N","L.J","I","K","E","A","J.P","A.E","S","B.M"],"authorOrcid":["https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0003-3849-5179","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0002-0065-2338","https://orcid.org/0000-0002-0790-5895","https://orcid.org/0000-0002-9860-1351","https://orcid.org/0000-0002-8742-0010","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0876-0405"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01nrxwf90","https://ror.org/01rhff309","https://ror.org/00874hx02"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains biogeochemical measurements of surface water, sampled across Loch Etive, Scotland, between the 3rd and 7th of October 2022. The dataset encompasses 23 locations including nine open loch stations, four fish-farm adjacent loch sites, six river inflows, and four process experiment river sites, enabling a comparison of water chemistry across marine, freshwater, and anthropogenically influenced environments.\n\nSurface water samples were collected and analysed for an extensive range of biogeochemical parameters. In-field measurements included water temperature, pH, dissolved oxygen, and specific conductivity. Laboratory analyses comprised:\n-  Alkalinity\n- Major nutrients, including nitrate, nitrite, ammonium, soluble reactive phosphorus (SRP), and silica\n- Dissolved and total organic and inorganic carbon and nitrogen (DOC, TIC, TDN)\n- Trace elements and rare earth elements (REEs), including lithium, barium, aluminium, and a full suite of lanthanides\n- Stable isotope composition of oxygen (δ18O), determined via isotope ratio mass spectrometry\n- Chromophoric and fluorescent dissolved organic matter (CDOM/FDOM), with derived indices such as fluorescence index (FI), biological index (BIX), and humification index (HIX)\n\nIn addition to water chemistry, particulate samples were collected and analysed for total suspended solids (TSS), particulate organic matter (POM), particulate inorganic matter (PIM), chlorophyll-a concentration, and particulate organic carbon/nitrogen (POC/PON). Phytoplankton community composition was assessed by flow cytometry, quantifying major groups including diatoms, pico- and nano-chlorophytes, cryptophytes, and cyanobacteria.\n\nThis comprehensive dataset is intended to inform biogeochemical process understanding in polar analogue environments and to validate analytical workflows and inter-institutional protocols.","documentType":"GEMINI_DOCUMENT","familyName":["Grant","Arrowsmith","Barry","Bowes","Callaghan","Eades","Fournier","Hendry","Mawji","O'Brien","Olszewska","Pickard","Tandy","Spears"],"fullName":["Grant, A.","Grant, A.L.","Arrowsmith, C.","Barry, C.","Bowes, M.J.","Callaghan, N.","Eades, L.J.","Fournier, I.","Hendry, K.","Mawji, E.","O'Brien, A.","Olszewska, J.P.","Pickard, A.E.","Tandy, S.","Spears, B.M."],"funder":["Natural Environment Research Council"],"givenName":["A.","A.L","C","M.J","N","L.J","I","K","E","A","J.P","A.E","S","B.M"],"grant":["NE/W004933/1"],"identifier":"50f4344e-a79a-4e1f-a9ee-e7985ed847cd","incomingCitationCount":0,"keyword":["Water quality","biogeochemistry","chlorophyll","fish farming","isotope","Loch Etive","metal","nutrient","river transport","water quality","Scotland"],"keywordsOther":["biogeochemistry","chlorophyll","fish farming","isotope","Loch Etive","metal","nutrient","river transport","water quality","Scotland"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Surface water was collected via grab sampling at 23 sites across loch, river, and fish farm locations. In situ parameters were measured immediately using a HACH HQ4300 multimeter with calibrated pH, conductivity, and dissolved oxygen probes. Vacuum filtration units and portable pumps were used for sample processing. Samples were transported to the lab within 6 hours for processing.\n\nNutrient concentrations were measured using segmented flow analysis; DOC, TIC, and TDN by thermal oxidation and chemiluminescence; metals and REEs by ICP-MS and ICP-OES; δ18O via isotope mass spectrometry. Phytoplankton were quantified using flow cytometry; particulate analyses followed gravimetric and spectrophotometric methods.\n\nUnits include:\nTemperature (°C), pH (unitless), DO (mg/L, % saturation), conductivity (mS/cm)\nNutrients: µmol/L or µg/L (e.g. nitrate, phosphate)\nDOC/TIC/TDN: mg/L\nMetals: µg/L or ppm\nParticulates: mg/L\nPhytoplankton: cells/mL\nCFDOM indices: Raman units or unitless indices (FI, HIX, BIX)\n\nRaw readings were calibrated and corrected; fluorescence data were processed in R; compiled data include site metadata and documented exclusions.\nCalibrations, reference standards, replicates, blanks, and internal controls were used. Analytical QA procedures were followed across all labs. Some data are missing due to instrument errors or lost samples. Not all parameters were measured at all sites.\n","locations":["POLYGON((-5.453 56.362, -5.453 56.618, -4.965 56.618, -4.965 56.362, -5.453 56.362))"],"metadataDate":"2026-06-29T18:03:46.000Z","orcid":["https://orcid.org/0009-0005-7203-3260","https://orcid.org/0000-0003-3849-5179","https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0003-0273-6161","https://orcid.org/0000-0002-0065-2338","https://orcid.org/0000-0002-0790-5895","https://orcid.org/0000-0002-9860-1351","https://orcid.org/0000-0002-8742-0010","https://orcid.org/0000-0002-4910-2206","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0003-0662-0991","https://orcid.org/0000-0002-0876-0405"],"organisation":["UK Centre for Ecology & Hydrology","British Geological Survey","University of Edinburgh","British Antarctic Survey","National Oceanography Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/50f4344e-a79a-4e1f-a9ee-e7985ed847cd","10.5285/50f4344e-a79a-4e1f-a9ee-e7985ed847cd","doi:10.5285/50f4344e-a79a-4e1f-a9ee-e7985ed847cd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04a7gbp98","https://ror.org/01nrxwf90","https://ror.org/01rhff309","https://ror.org/00874hx02","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains biogeochemical measurements of surface water, sampled across Loch Etive, Scotland, between the 3rd and 7th of October 2022. The dataset encompasses 23 locations including nine open loch stations, four fish-farm adjacent loch sites, six river inflows,…","state":"published","title":"Biogeochemistry and phytoplankton data from Loch Etive, Scotland, October 2022","topic":["0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3 [2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"identifier":"5e1792a0-ae95-4e77-bccd-2fb456112cc1","incomingCitationCount":0,"keyword":["Hydrology","Integrated Hydrological Units","IHU","SPI","indicator","rainfall extremes","drought"],"keywordsOther":["Integrated Hydrological Units","IHU","SPI","indicator","rainfall extremes","drought"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [7]). [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. doi: 10.1002/joc.4267 [3] Tanguy et al. (2015), in preparation. [4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf [5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e [6] Keller,V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ doi:10.5194/essdd-8-83-2015. [7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Hydrometric Areas without Coastline. NERC-Environmental Information Data Centre doi:10.5285/3a4e94fc-4c68-47eb-a217-adee2a6b02b3","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2026-06-27T18:37:10.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1431704829276","CEH:EIDC::1431704829276","https://catalogue.ceh.ac.uk/id/5e1792a0-ae95-4e77-bccd-2fb456112cc1","10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1","doi:10.5285/5e1792a0-ae95-4e77-bccd-2fb456112cc1"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) Hydrometric Areas (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated…","state":"published","supplementalName":["CEH droughts application"],"title":"Standardised Precipitation Index time series for Integrated Hydrological Units Hydrometric Areas (1961-2012)","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Grant","Armstrong","Belcher","Kitson","MacSporran","McKenzie","Nicholls","Pickard","Spears"],"authorFullName":["Grant, A.","Armstrong, L.","Belcher, A.","Kitson, E.","MacSporran, A.","McKenzie, R.","Nicholls, D.","Pickard, A.","Spears, B."],"authorGivenName":["Alanna","Linda","Anna","Ezra","Alice","Rebecca","David","Amy","Bryan"],"authorOrcid":["https://orcid.org/0009-0005-7203-3260","https://orcid.org/0009-0009-3036-5215","https://orcid.org/0000-0002-9583-5910","https://orcid.org/0000-0001-9168-7001","https://orcid.org/0009-0001-9498-2257","https://orcid.org/0009-0009-9928-8780","https://orcid.org/0009-0005-7309-6650","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-0876-0405"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises water chemistry data (dissolved organic carbon (DOC), total dissolved nitrogen (TdN), particulate organic carbon (POC), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O) collected bi-weekly from peatland streams near Penicuik, Scotland, in 2024 and 2025. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis.\n\nThe objective of this dataset is to provide background data to characterise differences in the baseline period before restoration at the sampling site occurs in 2026.","documentType":"GEMINI_DOCUMENT","familyName":["Grant","Armstrong","Belcher","Kitson","MacSporran","McKenzie","Nicholls","Pickard","Spears"],"fullName":["Grant, A.","Armstrong, L.","Belcher, A.","Kitson, E.","MacSporran, A.","McKenzie, R.","Nicholls, D.","Pickard, A.","Spears, B."],"funder":["Natural Environment Research Council","European Union"],"givenName":["A.","Alanna","Linda","Anna","Ezra","Alice","Rebecca","David","Amy","Bryan"],"grant":["NE/Y006208/1","101036337"],"identifier":"09384b41-4395-4c23-bd1e-cfe9f36d1e16","incomingCitationCount":0,"keyword":["Forth Catchment","Water quality","biogeochemistry","Peatlands","water chemistry","water quality","peat"],"keywordsOther":["biogeochemistry","Peatlands","water chemistry","water quality","peat"],"keywordsPlace":["Forth Catchment"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Fortnightly sampling took place at two locations from January 2024 to December 2025.\n\nSamples were collected directly from each stream using a 60ml syringe and were either dispensed directly unfiltered or, filtered with a cellulose acetate filter into their relevant containers before being returned to the lab and either frozen or refrigerated before analysis.\n\nDissolved greenhouse gas samples were collected using the headspace method. This involves filling a 200ml syringe with 100ml of stream water and 100ml of ambient air and agitating it for one minute until equilibration of gases has occurred. The air sample is then injected into a sealed vial and returned to the lab for analysis.\n\nAll data were generated by the authors. During the generation of water chemistry data, calibration standards of known concentrations were used for quality control of instrument outputs.","locations":["POLYGON((-3.27 55.79, -3.27 55.8, -3.24 55.8, -3.24 55.79, -3.27 55.79))"],"metadataDate":"2026-06-29T16:53:07.000Z","orcid":["https://orcid.org/0009-0005-7203-3260","https://orcid.org/0009-0009-3036-5215","https://orcid.org/0000-0002-9583-5910","https://orcid.org/0000-0001-9168-7001","https://orcid.org/0009-0001-9498-2257","https://orcid.org/0009-0009-9928-8780","https://orcid.org/0009-0005-7309-6650","https://orcid.org/0000-0003-1069-3720","https://orcid.org/0000-0002-0876-0405"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/09384b41-4395-4c23-bd1e-cfe9f36d1e16","10.5285/09384b41-4395-4c23-bd1e-cfe9f36d1e16","doi:10.5285/09384b41-4395-4c23-bd1e-cfe9f36d1e16"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises water chemistry data (dissolved organic carbon (DOC), total dissolved nitrogen (TdN), particulate organic carbon (POC), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA),…","state":"published","title":"Peatland stream water chemistry data from the MERLIN project, Hare Moss, Scotland, 2024-2025","topic":["0/Water quality/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["tar.gz"],"description":"This dataset contains remapped driving data for a rectangular domain covering Riau, Indonesia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files.\n","documentType":"GEMINI_DOCUMENT","familyName":["Marthews"],"fullName":["Toby Richard Marthews","Marthews, T.R."],"funder":["Natural Environment Research Council"],"givenName":["Toby Richard"],"grant":["NE/X006247/1"],"identifier":"7a6b34b9-eb95-4926-889a-92adebe23d8d","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","climate","model","forecast"],"keywordsOther":["climate","model","forecast"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The source data are from the ISIMIP project, specifically ISIMIP3b bias-adjusted climate input data (Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b); info@isimip.org https://www.isimip.org ) (Gosling et al. 2025). For details of bias correction applied in ISIMIP datasets, please see https://www.isimip.org/gettingstarted/isimip3b-bias-correction/ .\n\nISIMIP data are available globally, but only at 0.5°x0.5°C global grid resolution (approx. 50 km resolution at the Equator), when most land surface modelling simulations require higher resolution. Therefore, using a bespoke (R) script written by Dr Toby Marthews, these data were regridded to 1 km resolution across the specified domain. In the interests of parsimony, no downscaling of these data was undertaken: this was a direct regridding process (a 'conservative remapping').\n\nBecause of file size limitations, carrying out this regridding step is often impossible at research institutions, therefore we provide these model-ready files in order to make these driving data more useful to a wider community.\n\n","locations":["POLYGON((99.9 -1.2, 99.9 3.5, 105.1 3.5, 105.1 -1.2, 99.9 -1.2))"],"metadataDate":"2026-06-29T18:15:49.000Z","orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7a6b34b9-eb95-4926-889a-92adebe23d8d","10.5285/7a6b34b9-eb95-4926-889a-92adebe23d8d","doi:10.5285/7a6b34b9-eb95-4926-889a-92adebe23d8d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains remapped driving data for a rectangular domain covering Riau, Indonesia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for…","state":"published","supplementalDescription":["Gosling, S.N., Schmied, H.M., Bradley, A., Burek, P., Gedney, N., Grillakis, M., Guillaumot, L., Hanasaki, N., Ito, A., Kou-Giesbrecht, S., Koutroulis, A., Nishina, K., Otta, K., Qi, W., Sahu, R.-K., Satoh, Y., Schewe, J., (2025) ISIMIP3b Simulation Data from the Global Water Sector (v1.4), ISIMIP Repository."],"title":"Driving data for the period 2015-2025 for running the JULES Land Surface Model over Riau, Indonesia","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Leeds","Universidad Nacional Santiago Antúnez de Mayolo"],"authorFamilyName":["Kerr","Quincey","Fell","Medina","Loarte","Brown"],"authorFullName":["Kerr, N.R.","Quincey, D.","Fell, S.C.","Medina, K.","Loarte, E.","Brown, L.E."],"authorGivenName":["N.R.","D.","S.C.","K.","E.","L.E."],"authorOrcid":["https://orcid.org/0000-0002-5000-9092"],"authorRor":["https://ror.org/024mrxd33","https://ror.org/03w7bgm07"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset provides measurements of water temperature, electrical conductivity (EC), pH and turbidity from rivers in the Peruvian Andes. Data were collected from 23 river sites in the Cordillera Vilcanota (12 sites) and Cordillera Blanca (11 sites) regions  from 11/09/2019 to 18/09/2019 (Cordillera Vilcanota) from 7/05/2020 to 16/05/2020 (Cordillera Blanca). Each variable was measured once at each river site.  Sites were selected along a continuum of declining glacier cover to investigate the influence of glaciers on river habitats. ","documentType":"GEMINI_DOCUMENT","familyName":["Kerr","Quincey","Fell","Medina","Loarte","Brown"],"fullName":["Nicky Kerr","Kerr, N.R.","Quincey, D.","Fell, S.C.","Medina, K.","Loarte, E.","Brown, L.E."],"funder":["Natural Environment Research Council","Newton-Paulet Fund"],"givenName":["N.R.","D.","S.C.","K.","E.","L.E."],"grant":["NE/S013296/1"],"identifier":"34df941d-abb8-4171-9c9d-33202e5a2ea5","incomingCitationCount":0,"keyword":["Climate and climate change","Water quality","alpine","river","glacier"],"keywordsOther":["alpine","river","glacier"],"keywordsTheme":["Climate and climate change","Water quality"],"licence":"Open government licence","lineage":"At each site, measurements of water temperature, electrical conductivity (EC) and pH were taken in Vilcanota using a Hach (Loveland, CO, USA) HQ40D probe, and in Blanca a Xylem (Washington D.C., USA) Multi 3630 multiparameter probe was used. Turbidity was measured with a Cole-Parmer (Vernon Hills, IL, USA) Oakton T-100 turbidity probe. Channel stability was determined using the “channel bottom” component of the Pfankuch Index (Pfankuch, 1975), and then calculating the inverse of this score so that higher scores represented more stable river beds. Water samples were collected by filtering 100 mL of river water through a 0.45 micron filter to determine total nitrogen (TN) and total phosphorus (TP) (Skalar (Breda, Netherlands) San++ automatic wet chemistry analyser) and dissolved inorganic carbon (DIC) and dissolved organic carbon (DOC) (Analytik Jena (Jena, Germany) Multi NC2100 micro elemental analyser). Within each region, all measurements were collected by the same person. Pfankuch Index was calculated by the same person to ensure consistency in qualitative analysis.","locations":["POLYGON((-76.97 -14.945, -76.97 -8.146, -70.06 -8.146, -70.06 -14.945, -76.97 -14.945))"],"metadataDate":"2026-06-30T11:56:25.000Z","orcid":["https://orcid.org/0000-0002-5000-9092"],"organisation":["University of Leeds","Universidad Nacional Santiago Antúnez de Mayolo","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/34df941d-abb8-4171-9c9d-33202e5a2ea5","10.5285/34df941d-abb8-4171-9c9d-33202e5a2ea5","doi:10.5285/34df941d-abb8-4171-9c9d-33202e5a2ea5"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/03w7bgm07","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides measurements of water temperature, electrical conductivity (EC), pH and turbidity from rivers in the Peruvian Andes. Data were collected from 23 river sites in the Cordillera Vilcanota (12 sites) and Cordillera Blanca (11 sites) regions  from 11/09/2019…","state":"published","title":"Physical and environmental measurements from river sites in the Cordillera Vilcanota and Cordillera Blanca ranges of the Peruvian Andes, 2019-2020","topic":["0/Climate and climate change/","0/Water quality/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Read","Bowes","Nichols","Armstrong"],"authorFullName":["Read, D.S.","Bowes, M.","Nichols, D.","Armstrong, L."],"authorGivenName":["D.S.","M.","D.","L."],"authorOrcid":["https://orcid.org/0000-0001-8546-5154","https://orcid.org/0000-0002-0673-1934"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises water quality data from five tributaries of the River Thames, UK. Sampling sites at each river were from both upstream and downstream of sewage effluent point sources. Parameters measured were phosphorus and nitrogen species, dissolved organic carbon and major dissolved anions (fluoride, chloride, sulphate). This work was carried out as a part of the NERC project: “The environmental REsistome: confluence of Human and Animal Biota in antibiotic resistance spread (REHAB)” (Project reference NE/N019660/1).","documentType":"GEMINI_DOCUMENT","familyName":["Read","Bowes","Nichols","Armstrong"],"fullName":["Read, D.S.","Bowes, M.","Nichols, D.","Armstrong, L."],"funder":["Natural Environment Research Council"],"givenName":["D.S.","M.","D.","L."],"grant":["NE/N019660/1"],"identifier":"80710d5e-06cf-4757-93c5-87fcbe421352","incomingCitationCount":0,"keyword":["Water quality","antimicrobial resistance","river","sewage","effluent","influent","sediment"],"keywordsOther":["antimicrobial resistance","river","sewage","effluent","influent","sediment"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"All water samples were collected by fieldworkers from the UK Centre for Ecology & Hydrology (UKCEH), Wallingford. All chemical analysis was carried out by the Nutrient Chemistry Laboratories at UKCEH Wallingford.","locations":["POLYGON((-1.536 51.582, -1.536 51.829, -0.972 51.829, -0.972 51.582, -1.536 51.582))"],"metadataDate":"2026-06-29T16:38:30.000Z","orcid":["https://orcid.org/0000-0001-8546-5154","https://orcid.org/0000-0002-0673-1934"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/80710d5e-06cf-4757-93c5-87fcbe421352","10.5285/80710d5e-06cf-4757-93c5-87fcbe421352","doi:10.5285/80710d5e-06cf-4757-93c5-87fcbe421352"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set comprises water quality data from five tributaries of the River Thames, UK. Sampling sites at each river were from both upstream and downstream of sewage effluent point sources. Parameters measured were phosphorus and nitrogen species, dissolved organic…","state":"published","title":"Nutrient chemistry data from five rivers receiving sewage effluent in Oxfordshire, England, 2017","topic":["0/Water quality/"],"version":1.0,"view":["public","hajd"]},{"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":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","Mackay","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","Mackay, E.B.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["Heidrun","B.A.","H.","A.G.","K.","E.B.","G.","S.J."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706"],"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 Esthwaite Tarn in Cumbria, England. 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 µg 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 µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2023 until the end of 2023.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","Mackay","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","Mackay, E.B.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["Heidrun","B.A.","H.","A.G.","K.","E.B.","G.","S.J."],"grant":["NE/R016429/1","NE/Y006208/1"],"identifier":"73108b81-bb17-48be-b50f-bbf47ed001ce","incomingCitationCount":0,"keyword":["Lake District","Climate and climate change","Environmental survey","Water quality","dissolved oxygen","Lake monitoring","lake water chemistry","lake water temperature","phytoplankton","Secchi depth","alga","lake"],"keywordsOther":["dissolved oxygen","Lake monitoring","lake water chemistry","lake water temperature","phytoplankton","Secchi depth","alga","lake"],"keywordsPlace":["Lake District"],"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.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. 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.\n","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.978 54.37, -2.978 54.348, -2.993 54.348))"],"metadataDate":"2026-06-29T16:03:20.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/73108b81-bb17-48be-b50f-bbf47ed001ce","10.5285/73108b81-bb17-48be-b50f-bbf47ed001ce","doi:10.5285/73108b81-bb17-48be-b50f-bbf47ed001ce"],"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 Esthwaite Tarn in Cumbria, England. The data available to download comprise surface…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2023","topic":["0/Climate and climate change/","0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Stirling","Lancaster University"],"authorFamilyName":["Gray","Jones","Mackay","Elliott","Folkard"],"authorFullName":["Gray, E.","Jones, I.D.","Mackay, E.B.","Elliott, J.A.","Folkard, A.M."],"authorGivenName":["E.","I.D.","E.B.","J.A.","A.M."],"authorOrcid":["https://orcid.org/0000-0003-3074-1945","https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0001-6713-2460"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/045wgfr59","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of physical, chemical and ecological water quality variables collected at Blelham Tarn during 2016-2017. Profiles for the following variables were collected on a weekly scale during the stratified period of the lake and fortnightly or monthly timescales outside of the stratified period; light, chlorophyll a (phytoplankton biomass proxy), temperature, specific conductivity, phycocyanin (cyanobacteria pigment), pH and oxygen (mg/l and percentage saturation). The secchi depth was also collected at the same sampling frequency. Phytoplankton taxonomy and biovolumes were collected at 1-6 m June-November 2016 at a weekly interval. Nutrient profiles (nitrogen, phosphorus and silica) were collected on a monthly timescale in June-October 2016. In addition to lake data, samples from three lake inflows and the outflow were collected for nutrients (nitrogen, phosphorus and silica) at monthly intervals along with discharge. Water level and water temperature were also recorded at a 15 minute frequency at one inflow and the outflow. \n \n\n","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Jones","Mackay","Elliott","Folkard"],"fullName":["Gray, E.","Jones, I.D.","Mackay, E.B.","Elliott, J.A.","Folkard, A.M."],"funder":["Natural Environment Research Council"],"givenName":["E.","I.D.","E.B.","J.A.","A.M.","Emma"],"grant":["NEC05744"],"identifier":"791f7613-c7a4-44e0-b197-53f92757f875","incomingCitationCount":2,"keyword":["Lake District","England","Blelham Tarn","Water quality","Environmental survey"],"keywordsPlace":["Lake District","England","Blelham Tarn"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Lake samples were collected at the lakes deepest point (14.5 m; see supporting information) and stream samples were collected at the same point in the closest accessible location to the lake (please see the relevant supporting information for further details and site maps). Laboratory analysis for nutrients, chlorophyll a and phytoplankton taxonomy were performed using standard procedures with full methodologies being outlined in the supporting information. All data has been checked visually and any obvious errors as a result of instrument error have been removed. ","locations":["POLYGON((-2.985 54.393, -2.985 54.398, -2.971 54.398, -2.971 54.393, -2.985 54.393))"],"metadataDate":"2026-06-29T17:16:20.000Z","orcid":["https://orcid.org/0000-0003-3074-1945","https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0001-6713-2460"],"organisation":["Centre for Ecology & Hydrology","University of Stirling","Lancaster University","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-11-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/791f7613-c7a4-44e0-b197-53f92757f875","10.5285/791f7613-c7a4-44e0-b197-53f92757f875","doi:10.5285/791f7613-c7a4-44e0-b197-53f92757f875"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/045wgfr59","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of physical, chemical and ecological water quality variables collected at Blelham Tarn during 2016-2017. Profiles for the following variables were collected on a weekly scale during the stratified period of the lake and fortnightly or monthly timescales…","state":"published","title":"Blelham Tarn: Ecological and chemical lake profiles, and inflow and outflow chemistry 2016-17","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"authorFullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"authorGivenName":["H","B A","A G","K","G","S J"],"authorOrcid":["https://orcid.org/0000-0002-2028-4843"],"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 Esthwaite Tarn in Cumbria, England. 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 µg 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 µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2024 until the end of 2024.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Dodd","Guyatt","Hunt","Le Quesne","McShane","Moorhouse","Rankin","Rhodes","Thackeray"],"fullName":["Feuchtmayr, H.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","Le Quesne, K.","McShane, G.","Moorhouse, H.","Rankin, G.","Rhodes, G.","Thackeray, S.J."],"funder":["Natural Environment Research Council"],"givenName":["H.","H","B A","A G","K","G","S J"],"grant":["NE/R016429/1 ","NE/Y006208/1"],"identifier":"c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","incomingCitationCount":0,"keyword":["Climate and climate change","Water quality","Environmental survey","dissolved oxygen","freshwater monitoring","phytoplankton","lake"],"keywordsOther":["dissolved oxygen","freshwater monitoring","phytoplankton","lake"],"keywordsTheme":["Climate and climate change","Water quality","Environmental survey"],"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.\nMeasurements are made from a boat at a marked location (buoy) at the deepest part of the lake. 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.\n","locations":["POLYGON((-2.993 54.348, -2.993 54.37, -2.977 54.37, -2.977 54.348, -2.993 54.348))"],"metadataDate":"2026-06-29T16:44:40.000Z","orcid":["https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21","doi:10.5285/c6bb2aeb-abd2-4a3f-b26f-92f7a33b5a21"],"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 Esthwaite Tarn in Cumbria, England. The data available to download comprise surface…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2024","topic":["0/Climate and climate change/","0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["Maliko","Filip","Matt","Claus","Jamie"],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0003-1142-4039","https://orcid.org/0000-0001-9294-5826","https://orcid.org/0000-0002-5256-3310"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1961 to 2012. \n\n[1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902\n[2] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","Filip","Matt","Claus","Jamie"],"identifier":"dfd59438-2170-4472-b810-bab33a83d09f","incomingCitationCount":0,"keyword":["Environmental risk","Hydrology","SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsOther":["SPI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","drought","atmospheric precipitation"],"keywordsTheme":["Environmental risk","Hydrology"],"licence":"Non-Open government licence","lineage":"SPI is calculated as originally defined in McKee et al. [1]. SPI is based on the cumulative probability of a given rainfall amount occurring at a location. The historic rainfall data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the gamma distribution, which has been extensively used and is recommended as a default choice for Europe by Stagge et al. [2]. The L-moments method was used to estimate the gamma distribution parameters, as the maximum likehood method was failing to fit a realistic distribution in some isolated cases (more details on the choice of methodology in Tanguy et al. [3]). To calculate SPI, the R package SCI was used (Gudmundsson & Stagge [4]), but modified to use L-moments (instead of Maximum Likelihood). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [5], Keller et al. [6]) which has been area-averaged over each of the Integrated Hydrological Units (IHU) groups(Kral et al. [7]). \n\n[1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California.\n[2] Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F. and Stahl, K. (2015), Candidate Distributions for Climatological Drought Indices (SPI and SPEI). Int. J. Climatol. https://doi.org/10.1002/joc.4267\n[3] Tanguy et al. (2015), in preparation.\n[4] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[5] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e\n[6] Keller, V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112, www.earth-syst-sci-data-discuss.net/8/83/2015/ https://doi.org/10.5194/essdd-8-83-2015.\n[7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. 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[1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. SPI is calculated for different…","state":"published","supplementalName":["CEH droughts portal"],"title":"Standardised Precipitation Index time series for Integrated Hydrological Units Groups (1961-2012)","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. Wind or near surface wind speed at 10m is the near surface wind speed at 10m in m/s-1 at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars","Stagl"],"fullName":["Warnaars, T.","Stagl, S."],"givenName":["Tanya","S."],"identifier":"611061e5-dd3f-4612-b003-36120d0d35b2","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsOther":["Land surface modelling","meteorology","hydrology","atmosphere","modelling"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T19:19:53.000Z","organisation":["UK Centre for Ecology & Hydrology","University of Sussex","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1315213681382","CEH:EIDC::1315213681382","https://catalogue.ceh.ac.uk/id/611061e5-dd3f-4612-b003-36120d0d35b2"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/00ayhx656","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH Forcing Data (WFD) - 20th Century Wind (near surface wind speed) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Brown","Pickard"],"authorFullName":["Brown, A.M.","Pickard, A.E."],"authorGivenName":["A.M.","A.E."],"authorOrcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the changes in GHG from a single point in the middle of the estuary (Breahead pontoon) through a tidal cycle at both the surface and bed so the impact of tidal river flow and stratification can be understood.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Pickard"],"fullName":["Brown, A.M.","Pickard, A.E.","Brown, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","A.E.","Alison"],"grant":["NE/S007431/1"],"identifier":"7f5b221e-d251-4bac-9252-16b4553dc345","incomingCitationCount":1,"keyword":["Scotland","Water quality","greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsOther":["greenhouse gas","estuary","methane","nitrogen oxides","Nitrious oxide","nutrient"],"keywordsPlace":["Scotland"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The field data were collected between Aug 2020 and May 2022 on the Clyde estuary from the Breahead ponton across 7 surveys where data was measured through a tidal cycle and where data was collected both near the surface and near the bed on the Clyde estuary in Scotland.   Samples were analysed within the lab at UKCEH Edinburgh as part of an IAPETUS 2 DTP NERC funded PHD.  \nData were carefully quality controlled to check analytical methods data were correct including cross checking of data from different and methodologies and between surveys.   Any suspect data have been removed.\n","locations":["POLYGON((-4.4 55.8, -4.4 55.9, -4.3 55.9, -4.3 55.8, -4.4 55.8))"],"metadataDate":"2026-06-29T16:36:52.000Z","orcid":["https://orcid.org/0000-0001-6878-4065","https://orcid.org/0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2023-07-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f5b221e-d251-4bac-9252-16b4553dc345","10.5285/7f5b221e-d251-4bac-9252-16b4553dc345","doi:10.5285/7f5b221e-d251-4bac-9252-16b4553dc345"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Greenhouse gas concentrations and physio-chemical water properties for the Clyde estuary in Scotland to support understanding of the GHG sources and sinks and their associated mechanisms in a highly stratified, temperate  urban estuary.  These measurements look at the…","state":"published","title":"Physico-chemical water properties and greenhouse gas measurements across a tidal cycle, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=topic%7C(0/Water%20quality/%20OR%200/Modelling/%20OR%200/Hydrology/)"}