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","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"2a230752-9652-412b-9feb-9f419767032d","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Atmosphere","hydrology","meteorology","Land surface modelling","atmosphere"],"keywordsOther":["Atmosphere","hydrology","meteorology","Land surface modelling","atmosphere"],"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. 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These measurements…","state":"published","title":"Physico-chemical water properties and greenhouse gas measurements along a longitudinal estuary transect, Clyde estuary, Scotland, 2020-2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["Snowf WFD GPCC","Snowfall WFD GPCC"],"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. Snowf or snowfall is the snowfall rate based on the GPCC bias corrected, undercatch corrected measured in kg/m2/s at 3 hourly resolution averaged over the next 3 hours and at 0.5 x 0.5 degrees spatial resolution. Please note that there is also a WFD Snowf CRU bias corrected dataset, but as the GPCC dataset is the preferred dataset only this snowfall dataset is available from the EIDC. These snowfall datasets contain snowfall data only and need to be combined with the respective WFD rainfall datasets to obtain precipitation data.","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["T."],"identifier":"6b7a08f0-00f7-4c48-ac4d-e483acb77a03","incomingCitationCount":1,"keyword":["Modelling","land surface","atmosphere","hydrology","Land surface modelling","meteorology"],"keywordsOther":["land surface","atmosphere","hydrology","Land surface modelling","meteorology"],"keywordsTheme":["Modelling"],"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. 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They were acclimatised in a constant temperature room at 20°C. Water was filtered through a 100 µm mesh to remove any zooplankton or large detritus present, 35 mL of sample was transferred to 50 mL boiling tubes. 12 different nutrient treatments were applied at approximately Redfield ratio [N: 90 µmol L-1 (1.261 mg N L-1) and P: 6 µmol L-1 (0.186 mg P L-1)] in triplicate to quantify growth responses to both organic N and P. These included: 1) a control with no addition of nutrients, 2) inorganic N only, 3) inorganic P only and 4) inorganic N and P, 5-8) four organic N additions and 9- 12) four organic P additions. Tubes were stoppered with foam bungs enabling gas exchange and incubated for 14 days at 20°C under a photon irradiance of 80 – 120 µmol m-2 s-1 (photosynthetically available radiation, Macam Q102) and an 18 h light, 6 h dark cycle.  After the incubation period, tube contents including biofilm were resuspended by scraping and vortex mixing before being filtered onto a Whatman GF/C glass fibre filter (nominal pore size 1.2 µm) and frozen. Filters were later defrosted, and chlorophyll a extracted in hot methanol and measured spectrophotometrically. Growth response was determined as a change in the concentration of chlorophyll a in the treatment relative to the relevant control calculated as a natural log response ratio. For the water chemistry data (measured in mg/L), a Skalar++ multi-channel continuous flow autoanalyzer (Skalar Analytical B.V., The Netherlands) was used to carry out inorganic nutrient analysis, including total and total dissolved N and P (TN or TP, TDN or TDP) following persulphate digestion of unfiltered and filtered (pre-leached 0.45 µm cellulose nitrate) samples respectively, and dissolved inorganic N (DIN), including total ammoniacal nitrogen (NH3 and NH4), or soluble reactive P (SRP) on filtered samples. Dissolved organic nitrogen (DON) and dissolved organic phosphorus (DOP), were determined by difference between TDN and DIN or TDP and SRP, respectively.\n\nData from these analyses were checked and entered into spreadsheets for later analysis.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:16:36.000Z","orcid":["https://orcid.org/0000-0001-5697-7062"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Atkins Realis","Bristol University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3ca94e73-57dc-4fcd-afe2-82a4e491970a","10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a","doi:10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/05fehs989","https://ror.org/04xw4m193"],"shortenedDescription":"The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated…","state":"published","title":"River phytoplankton growth responses to organic nutrients with associated nutrient data from 25 rivers in GB","topic":["0/Water quality/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Fish Conservation Centre","Natural History Museum","British Trust for Ornithology"],"authorFamilyName":["Gunn","Carvalho","Davies","Edwards","Furse","Maitland","Raper","Siriwardena","Winfield"],"authorFullName":["Gunn, I.D.M.","Carvalho, L.","Davies, C.E.","Edwards, F.K.","Furse, M.T.","Maitland, P.S.","Raper, C.","Siriwardena, G.M.","Winfield, I.J."],"authorGivenName":["I.D.M.","Laurence","C.E.","F.K.","M.T.","P.S.","C.","G.M.","I.J."],"authorOrcid":["https://orcid.org/0000-0002-9768-9902","https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0001-9296-5114"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. \n\nThe following eight major groups were identified as being associated with fresh waters in the UK: algae, amphibians, birds, fish, invertebrates, macrophytes, mammals and reptiles. Algae (except stoneworts) were not included in the UK Checklist of Freshwater Species as they are currently undergoing a major revision. Other microorganisms (bacteria, fungi and viruses) are also not included in this species list.\n\nThe checklist was compiled to allow querying of freshwater species data in the Biological Records Centre (BRC) but to also to query freshwater species data from the BRC via the UK Lakes Portal (https://uklakes.ceh.ac.uk/), as well as to update the freshwater species list supplied to the UK Species Inventory (UKSI) partners, such as Recorder 6, National Biodiversity Network (NBN) Atlas and iRecord.","documentType":"GEMINI_DOCUMENT","familyName":["Gunn","Carvalho","Davies","Edwards","Furse","Maitland","Raper","Siriwardena","Winfield"],"fullName":["Gunn, I.","Gunn, I.D.M.","Carvalho, L.","Davies, C.E.","Edwards, F.K.","Furse, M.T.","Maitland, P.S.","Raper, C.","Siriwardena, G.M.","Winfield, I.J."],"givenName":["Iain","I.D.M.","Laurence","C.E.","F.K.","M.T.","P.S.","C.","G.M.","I.J."],"identifier":"57653719-434b-4b11-9f0d-3bd76054d8bd","incomingCitationCount":0,"keyword":["Biodiversity","Water quality","Invasive species","fish","alga","amphibian","bird","invertebrate","reptile","macrophyte","mammal"],"keywordsOther":["fish","alga","amphibian","bird","invertebrate","reptile","macrophyte","mammal"],"keywordsTheme":["Biodiversity","Water quality","Invasive species"],"licence":"Open government licence","lineage":"The UK Checklist of Freshwater Species was put together between 2015-2017 by Iain Gunn (CEH Edinburgh) in collaboration with Laurence Carvalho (CEH Edinburgh), Chris Raper (Natural History Museum (NHM)), Gavin Siriwardena (British Trust for Ornithology (BTO)) and Ian Winfield (CEH Lancaster). The checklist was compiled, primarily, under the auspices of the NERC Highlights Hydroscape project (NEC05609). The freshwater invertebrate component of the checklist was updated by Iain Gunn predominantly based on the 2011 version of the Mike Furse (ex-CEH Dorset, now retired)/Peter Maitland (Fish Conservation Centre) invertebrate code list compiled by Cynthia Davies (ex-CEH Wallingford, now retired) and Francois Edwards (CEH Wallingford). ","metadataDate":"2026-06-27T10:54:04.000Z","orcid":["https://orcid.org/0000-0002-9768-9902","https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0001-9296-5114"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Fish Conservation Centre","Natural History Museum","British Trust for Ornithology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-05-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/57653719-434b-4b11-9f0d-3bd76054d8bd","10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd","doi:10.5285/57653719-434b-4b11-9f0d-3bd76054d8bd"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"The UK Checklist of Freshwater Species is a collation of all the species (apart from algae) known to be found in association with fresh waters in the United Kingdom. \n\nThe following eight major groups were identified as being associated with fresh waters in the UK:…","state":"published","title":"UK Checklist of freshwater species","topic":["0/Biodiversity/","0/Water quality/","0/Invasive species/"],"version":1.0,"view":["public","dcmo"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Geography Markup Language (gml)"],"description":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, M."],"givenName":["Matt"],"identifier":"b5c24a80-af3b-48db-91cd-c796ba5ecc36","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Flood and Droughts Digital Research Infrastructure (FDRI)","Hydrology","Water quality","hydrochemistry"],"keywordsOther":["hydrochemistry"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Non-Open government licence","lineage":"The Plynlimon river network has been digitised from scanned topographic maps of Plynlimon Catchment Areas. The topographic maps references are: Plynlimon Catchment Areas - Severn Catchment. Sheet No. 1. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas - Wye Catchment. Sheet No. 2. Scale 1:5000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968. Plynlimon Catchment Areas. Sheet No. 1. Scale 1:10000. Wallingford, Berkshire. Institute of Hydrology, Natural Environmental Research Council, 1968","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-06-27T18:11:55.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b5c24a80-af3b-48db-91cd-c796ba5ecc36"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Digital river network of the natural and artificial streams and rivers within the Plynlimon catchments.","state":"published","title":"Plynlimon research catchments: river network","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Norris","Harvey","Winterbourn","Hughes","Lebron","Thacker","Lawlor","Carter","Patel","Keenan","Pereira","Cosby","Reynolds","Grant","Pomeroy","Hinton","Spinney","Peters","Callahan"],"authorFullName":["Norris, D.A.","Harvey, R.","Winterbourn, J.M.","Hughes, S.","Lebron, I.","Thacker, S.A.","Lawlor, A.J.","Carter, H.T.","Patel, M.","Keenan, P.O.","Pereira, M.G.","Cosby, B.J.","Reynolds, B.","Grant, S.J.","Pomeroy, I.","Hinton, C.","Spinney, K.","Peters, T.D.","Callahan, B."],"authorGivenName":["D.A.","R.","J.M.","S.","I.","S.A.","A.J.","H.T.","M.","P.O.","M.G.","B.J.","B.","S.J.","C.","K.","T.D."],"authorOrcid":["https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717","https://orcid.org/0000-0001-5645-3373"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from June 2011 to March 2016. Sampling was weekly from June 2011 to December 2011 and then  fortnightly from January 2012. Data for the whole period are presented for major anions and cations, pH, conductivity, alkalinity and in-situ measurements such as water temperature and stream flow. From June 2011 to March 2013 data are also presented for a range of metals. Data are presented for the whole period for six stream locations and one rainfall site. Data are also for presented for two streams, Nant Iago and Tanllwyth and one cloud site for the period from June 2011 to July 2012. \n\nStream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. This data presented  follow on from the hydrochemical data presented in the dataset Plynlimon research catchment hydrochemistry (44095e17-43b0-45d4-a781-aab4f72da025)\nFieldwork was carried out by CEH members of staff trained in the fieldwork techniques required. Chemical analysis was carried out by qualified CEH chemists at laboratories at CEH Lancaster and CEH Bangor.\n\nThe Plynlimon research catchments lie within the headwaters of the River Severn and the River Wye in the uplands of mid-Wales. Intensive and long-term monitoring within the catchments underpins a wealth of hydrological and hydro-chemical research. Monitoring is funded by the Centre for Ecology & Hydrology, and is ongoing since 1968.","documentType":"GEMINI_DOCUMENT","familyName":["Cosby","Norris","Harvey","Winterbourn","Hughes","Lebron","Thacker","Lawlor","Carter","Patel","Keenan","Pereira","Reynolds","Grant","Pomeroy","Hinton","Spinney","Peters","Callahan"],"fullName":["Cosby, B.J.","Norris, D.A.","Harvey, R.","Winterbourn, J.M.","Hughes, S.","Lebron, I.","Thacker, S.A.","Lawlor, A.J.","Carter, H.T.","Patel, M.","Keenan, P.O.","Pereira, M.G.","Reynolds, B.","Grant, S.J.","Pomeroy, I.","Hinton, C.","Spinney, K.","Peters, T.D.","Callahan, B.","Norris, D."],"givenName":["B.J.","D.A.","R.","J.M.","S.","I.","S.A.","A.J.","H.T.","M.","P.O.","M.G.","B.","S.J.","C.","K.","T.D.","Dave"],"identifier":"794c609b-da62-4a42-a4c1-267219865bb1","incomingCitationCount":1,"keyword":["Plynlimon","Hafren","Severn","Gwy","Wye","Wales","Flood and Droughts Digital Research Infrastructure (FDRI)","Ecosystem services","Water quality","Rainfall","cloud water","Bulk precipitation","Stream","river","atmospheric precipitation"],"keywordsOther":["Rainfall","cloud water","Bulk precipitation","Stream","river","atmospheric precipitation"],"keywordsPlace":["Plynlimon","Hafren","Severn","Gwy","Wye","Wales"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Ecosystem services","Water quality"],"licence":"Open government licence","lineage":"Sampling was carried out weekly from June 2011 to December 2011 and fortnightly from January 2012. Stream samples were taken using a grab technique. Rain samples were collected using bulk precipitation collectors. Cloud samples were collected using a Centre of Ecology and Hydrology (CEH) Edinburgh pattern lidded harp type passive collector. \n\nUpon return to the CEH Bangor laboratories the cation samples were acidified with concentrated Nitric Acid (to 1 percent) to preserve the samples. Samples for anion and cation sample were then stored at 4 degrees Celsius until they could be transported to the Centralised Analytical Chemistry Group in CEH Lancaster for analysis. Results were reported back to CEH Bangor as Excel spreadsheets. These data were then imported into an Access database.\n\npH, conductivity and alkalinity analysis was carried out the CEH Bangor laboratories. Results were reported back as Excel spreadsheets. Field measurements and flow calculations were also added to these Excel spreadsheets. These data were then imported into the same Access database as the CEH Lancaster results.\nFor ingestion into the Environmental Information data was extracted from the Access database and converted into a comma separated value file.","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-06-29T16:42:41.000Z","orcid":["https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0001-8610-9717"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2017-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/794c609b-da62-4a42-a4c1-267219865bb1","10.5285/794c609b-da62-4a42-a4c1-267219865bb1","doi:10.5285/794c609b-da62-4a42-a4c1-267219865bb1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes rainfall, cloud and stream hydrochemistry of the Plynlimon research catchments in Mid Wales. The data cover the period from June 2011 to March 2016. Sampling was weekly from June 2011 to December 2011 and then  fortnightly from January 2012. Data…","state":"published","supplementalDescription":["Knapp, J.L.A., Neal, C., Schlumpf, A., Neal, M., & Kirchner, J.W. (2019). New water fractions and transit time distributions at Plynlimon, Wales, estimated from stable water isotopes in precipitation and streamflow. In Hydrology and Earth System Sciences (Vol. 23, Issue 10, pp. 4367–4388). Copernicus GmbH.","Rücker, Andrea. (2019). Tracing snow-hydrological processes in a pre-alpine catchment with stable water isotopes [ETH Zurich]","Lee, J., Whitehead, P.G., Futter, M.N., & Hall, J.W. (2020). Impacts of Droughts and Acidic Deposition on Long-Term Surface Water Dissolved Organic Carbon Concentrations in Upland Catchments in Wales. In Frontiers in Environmental Science (Vol. 8). Frontiers Media SA."],"supplementalName":["Plynlimon project website","Plynlimon monitoring site website"],"title":"Plynlimon research catchment hydrochemistry (2011-2016)","topic":["0/Ecosystem services/","0/Water quality/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity pH 4.5, Ammonia, Chloride-ion, Conductivity 20 °C, Nitrate, pH, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. The samples were collected as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline rainwater chemistry data across the LOCAR catchments.","documentType":"GEMINI_DOCUMENT","familyName":["Bachiller Jareno","Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Bachiller Jareno, N.","Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"givenName":["Nuria ","D.","P.","R.","E.","I.","J.","C.I.","N."],"identifier":"274b541c-ee28-4041-8d3a-be5e970cd74e","incomingCitationCount":0,"keyword":["Water quality","The Lowland Catchment Research Programme","LOCAR","rainwater"],"keywordsOther":["The Lowland Catchment Research Programme","LOCAR","rainwater"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"The rainwater collector was brought back to the lab by the Catchment Service Team in that catchment and used to fill a number of bottles supplied by Thames Water Laboratory. Samples for pH and alkalinity readings were poured into a glass bottle. Samples for Phosphorus soluble reactive were filtered. Unfiltered samples were used for the rest of the determinands. Samples were then sent to Thames Water for analysis. They used the Seal discrete analyser to determine values for Alkalinity pH 4.5, Ammonia, Chloride-ion, Nitrate, Phosphorus soluble reactive (SRP), Silicate reactive dissolved (SRD) and Sulphate. pH and Conductivity probes were used for those two determinands. A duplicate and a QC sample were sent each week to Thames Water to compare results obtained by the laboratories. The data were quality controlled by Thames Water. The data from the Frome Piddle catchment do not have a time associated with them. The time was not recorded when the rainwater collector was brought back from the field. In the dataset this is represented by the value 00:00. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. ","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-06-27T19:27:20.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426780628758","CEH:EIDC::1426780628758","https://catalogue.ceh.ac.uk/id/274b541c-ee28-4041-8d3a-be5e970cd74e","10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e","doi:10.5285/274b541c-ee28-4041-8d3a-be5e970cd74e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Rainwater alkalinity, chloride-ion, conductivity, pH and nutrients data from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2004 and 2006. Rainwater samples were collected fortnightly at seven sites in these catchments and analysed for Alkalinity…","state":"published","title":"Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rainwater (2004-2006) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","cit"]},{"authorAffiliation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)"],"authorFamilyName":["Hawker","Neal","Pham"],"authorFullName":["Hawker, L.","Neal, J.","Pham, K.N."],"authorGivenName":["L.","J.","K.N."],"authorOrcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000 year return period flood. These maps are of relevance to planners and policy makers to estimate which areas of most at risk of flooding and can contribute towards policy such as the sustainable development goals.","documentType":"GEMINI_DOCUMENT","familyName":["Hawker","Neal","Pham"],"fullName":["Hawker, L.","Neal, J.","Pham, K.N."],"funder":["Natural Environment Research Council"],"givenName":["L.","J.","K.N."],"grant":["NE/S3003061/1"],"identifier":"74e4e6ec-a119-4dc7-8ada-9513252b1b60","incomingCitationCount":0,"keyword":["Vietnam","Environmental risk","Hydrology","flood","hydrology"],"keywordsOther":["flood","hydrology"],"keywordsPlace":["Vietnam"],"keywordsTheme":["Environmental risk","Hydrology"],"licence":"Open government licence","lineage":"Flood maps are generated using an updated version of the global flood model described by Sampson et al (2015). Refer to Sampson et al (2015) for more details. Updates have been made to certain aspects of the model including estimation of channel conveyance capacity (Neal et al., 2021) and the elevation data used (Hawker et al., 2022). Model validation was conducted by comparing against satellite imagery and household survey data.","locations":["POLYGON((101.831 8.186, 101.831 23.554, 110.752 23.554, 110.752 8.186, 101.831 8.186))"],"metadataDate":"2026-06-29T18:12:21.000Z","orcid":["https://orcid.org/0000-0002-8317-7084","https://orcid.org/0000-0001-5793-9594"],"organisation":["University of Bristol","Economy and Environment Partnership for Southeast Asia (EEPSEA)","Fathom","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-10-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/74e4e6ec-a119-4dc7-8ada-9513252b1b60","10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60","doi:10.5285/74e4e6ec-a119-4dc7-8ada-9513252b1b60"],"resourceType":"Dataset","rightsHolder":["University of Bristol","Fathom"],"ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains river (fluvial) and surface water (pluvial) flooding maps for the central highlands of Vietnam and surrounding provinces. Flood depth is estimated at 30m horizontal grid spacing for 10 return periods, ranging from the 1 in 5 year to the 1 in 1000…","state":"published","supplementalName":["Sampson et al ","Neal et al ","Hawker et al "],"title":"Fluvial and pluvial flood maps for the central highlands of Vietnam and surrounding provinces, 2022","topic":["0/Environmental risk/","0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","NIH Bhopal"],"authorFamilyName":["Horan","Rickards","Kaelin","Thomas","Houghton-Carr"],"authorFullName":["Horan, R.","Rickards, N.","Kaelin, A.","Thomas, T.","Houghton-Carr, H.A."],"authorGivenName":["R.","N.","A.","T.","H.A."],"authorOrcid":["https://orcid.org/0000-0002-8304-0272","https://orcid.org/0000-0002-7303-6739","https://orcid.org/0000-0002-2672-7676","https://orcid.org/0000-0003-4465-2169"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03f394x19"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock and irrigation across the Narmada Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model 5. \n\nFor the Upper Narmada, a baseline of 1970-2013 is presented along with a future time slice of 2028- 2060.  For the whole Narmada, a baseline of 1981-2013 and future period of 2021-2099 is included. The data were produced to help predict how climate and land use change in the region would impact on future water security.\n\nThe research was funded by NERC research grant NE/R000131/1","documentType":"GEMINI_DOCUMENT","familyName":["Horan","Rickards","Kaelin","Thomas","Houghton-Carr"],"fullName":["Horan, R.","Rickards, N.","Kaelin, A.","Thomas, T.","Houghton-Carr, H.A."],"funder":["Natural Environment Research Council"],"givenName":["Robyn","R.","N.","A.","T.","H.A."],"grant":["NE/R000131/1"],"identifier":"9fc7ab01-c622-46f1-a904-0bcd54073da3","incomingCitationCount":1,"keyword":["Narmada","Manot","Mohgaon","Patan","Gadarwara","Belkheri","Chhigaon","Kohgaon","Barmanghat","Sandia","Hoshangabad","Handia","Mandleshwar","Garudeshwar","Water quality","Environmental survey","General Circulation Model (GCM)","Streamflow","Aquifer level","Probability distribution model (PDM)","Global Water Availability Assessment Tool (GWAVA)","Urban domestic demand","Rural domestic demand","Livestock demand","Industry demand","Irrigation demand","irrigation","livestock","runoff","aquifer","demand"],"keywordsOther":["General Circulation Model (GCM)","Streamflow","Aquifer level","Probability distribution model (PDM)","Global Water Availability Assessment Tool (GWAVA)","Urban domestic demand","Rural domestic demand","Livestock demand","Industry demand","Irrigation demand","irrigation","livestock","runoff","aquifer","demand"],"keywordsPlace":["Narmada","Manot","Mohgaon","Patan","Gadarwara","Belkheri","Chhigaon","Kohgaon","Barmanghat","Sandia","Hoshangabad","Handia","Mandleshwar","Garudeshwar"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"These data were generated using the Global Water Availability Assessment (GWAVA) Model 5.0. The Global Water Availability Assessment Tool (GWAVA) is a large-scale, semi-distributed gridded water resources model developed by the UK Centre for Ecology & Hydrology. The Narmada Basin was modelled at a spatial scale of 0.125 degree using GWAVA5.0. The Upper Narmada was disaggregated into 318 modelling cells and the whole Narmada into 653 cells. The basin included domestic, irrigation and livestock demands, large- scale water transfers, major reservoirs, minor reservoirs and agriculture within command and rural areas. \n\nThe model was calibrated at thirteen gauging stations across the basin against available observed streamflow using the SIMPLEX auto-calibration routine. This routine utilises four parameters (a surface and groundwater routing parameter, a Probability Distributed Model (PDM) parameter that describes spatial variation in soil moisture capacity and a multiplier to adjust rooting depths). The model was then validated across the same 13 gauging stations (over a different time period to the calibration) and 100 groundwater observational wells.","locations":["POLYGON((72.422 20.22, 72.422 24.567, 80.684 24.567, 80.684 20.22, 72.422 20.22))"],"metadataDate":"2026-06-29T18:10:52.000Z","orcid":["https://orcid.org/0000-0002-8304-0272","https://orcid.org/0000-0002-7303-6739","https://orcid.org/0000-0002-2672-7676","https://orcid.org/0000-0003-4465-2169"],"organisation":["UK Centre for Ecology & Hydrology","NIH Bhopal","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-06-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9fc7ab01-c622-46f1-a904-0bcd54073da3","10.5285/9fc7ab01-c622-46f1-a904-0bcd54073da3","doi:10.5285/9fc7ab01-c622-46f1-a904-0bcd54073da3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03f394x19","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains daily time-series of simulated streamflow, ground water levels and estimated demands, from humans, livestock and irrigation across the Narmada Basin, India. The data were generated using the Global Water Availability Assessment (GWAVA) Model…","state":"published","supplementalName":[" Global Water Availability Assessment Model (GWAVA)"],"title":"Simulated streamflow, demands and aquifer levels in the Narmada Basin, India, 1970-2099 using the Global Water Availability Assessment Model (GWAVA)","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["British Geological Survey","Imperial College London","Ashoka Trust for Research in Ecology and the Environment","T.M. Bhagalpur University"],"authorFamilyName":["Ó Dochartaigh","O'Keeffe","Nair","Jackson","Krishnaswamy","Chaudhary","MacDonald"],"authorFullName":["Ó Dochartaigh, B.","O'Keeffe, J.","Nair, T.","Jackson, C.","Krishnaswamy, J.","Chaudhary, S.","MacDonald, A."],"authorGivenName":["B.","J.","T.","C.","S.","A."],"authorRor":["https://ror.org/04a7gbp98","https://ror.org/041kmwe10","https://ror.org/02e22ra24","https://ror.org/009p4eg54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains groundwater levels from ten boreholes located in the Gandak Basin, Bihar, North India. The data was collected using automatic level loggers recording at 15-minute intervals between April 2017 and February 2019. This data set quantifies the effects of groundwater abstraction on, and seasonal changes in groundwater levels.\n\nThe data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1","documentType":"GEMINI_DOCUMENT","familyName":["Ó Dochartaigh","O'Keeffe","Nair","Jackson","Krishnaswamy","Chaudhary","MacDonald"],"fullName":["Ó Dochartaigh, B.","O'Keeffe, J.","Nair, T.","Jackson, C.","Krishnaswamy, J.","Chaudhary, S.","MacDonald, A."],"funder":["Natural Environment Research Council"],"givenName":["B.","J.","T.","C.","S.","A.","Jimmy"],"grant":["NE/N01670X/1"],"identifier":"21df678b-6eb6-4559-9005-8eb7953b48ef","incomingCitationCount":1,"keyword":["Coupled Human and Natural Systems Environment (CHANSE)","Environmental survey","Water quality","groundwater"],"keywordsOther":["groundwater"],"keywordsProject":["Coupled Human and Natural Systems Environment (CHANSE)"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":" Data was recorded using pressure transducers located in boreholes and calibrated using barometers located nearby. The data were downloaded by trained members of staff from Tilka Manjhi Bhagalpur University, Bihar and Ashoka Trust for Research in Ecology and the Environment (ATREE). These measurements were taken to improve understanding on how groundwater levels vary throughout the year in terms of rainfall and groundwater abstraction. Further details can be found in the supporting documentation.\n\nThe data were collected as part of the NERC sponsored project Coupled Human and Natural Systems Environment (CHANSE), grant number NE/N01670X/1.","locations":["POLYGON((83.781 25.71, 83.781 27.223, 87.033 27.223, 87.033 25.71, 83.781 25.71))"],"metadataDate":"2026-06-29T18:19:19.000Z","organisation":["British Geological Survey","Imperial College London","Ashoka Trust for Research in Ecology and the Environment","T.M. Bhagalpur University","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-05-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/21df678b-6eb6-4559-9005-8eb7953b48ef","10.5285/21df678b-6eb6-4559-9005-8eb7953b48ef","doi:10.5285/21df678b-6eb6-4559-9005-8eb7953b48ef"],"resourceType":"Dataset","ror":["https://ror.org/04a7gbp98","https://ror.org/041kmwe10","https://ror.org/02e22ra24","https://ror.org/009p4eg54","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains groundwater levels from ten boreholes located in the Gandak Basin, Bihar, North India. The data was collected using automatic level loggers recording at 15-minute intervals between April 2017 and February 2019. This data set quantifies the effects…","state":"published","title":"Recorded groundwater levels taken from locations within the Gandak River Basin, Bihar, India, 2017-2019","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Lausanne","Vietnam National University, Hanoi","Can Tho University","Bangladesh University of Engineering and Technology","Jadavpur University","University of Glasgow","Data Guard"],"authorFamilyName":["Cremin","Le","Hua","Murshed","Mashfiqus","Banerjee","Ghosh","Renaud","Baron"],"authorFullName":["Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L."],"authorGivenName":["Emilie","Hue","Hieu Hong","Sonia","Salehin","Sumana","Tuhin","Fabrice","Loïc"],"authorOrcid":["https://orcid.org/0000-0003-4732-2376","https://orcid.org/0000-0002-9775-3601","https://orcid.org/0000-0002-1513-7240","https://orcid.org/0009-0007-4641-6078","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0002-0830-1196","https://orcid.org/0000-0002-2847-0448"],"authorRor":["https://ror.org/019whta54","https://ror.org/02jmfj006","https://ror.org/0071qz696","https://ror.org/05a1qpv97","https://ror.org/02af4h012","https://ror.org/00vtgdb53"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","gpkg"],"description":"The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction, and environmental governance, including teams linked to the United Nations University, University of Glasgow and partner universities. The GDRI is a modular library of 143 indicators selected following consultations with stakeholders during workshops. After reviewing data availability, the current dataset comprises 47 indicators with data comparable across 3 deltas in 3 countries (India, Bangladesh, Vietnam). The GDRI combines several categories of data to measure risk in river deltas (please refer to the readme file for full explanation of the data categories):\n\n1. Hazard data describing environmental threats affecting deltas, including: river flooding, coastal flooding, cyclones and storm surges, erosion, land subsidence, salinity intrusion, sea-level rise, and droughts and extreme rainfall. Additionally, multi-hazard layers are often derived from: remote sensing, climate models, hydrological and flood simulations, and national disaster databases.\n\n2. Exposure data to identify what is exposed to hazards: population density, settlements and infrastructure, agricultural land, ecosystems (mangroves, wetlands, fisheries). \n\n3. Vulnerability indicators, such as: poverty, malnutrition, access to sanitation and healthcare, education. gender inequality, livelihood dependence on natural resources, ecosystem degradation, and institutional capacity.\n\n4. Coping and adaptive capacity data to measure the ability of communities and ecosystems to respond to hazards: governance quality, disaster preparedness, infrastructure access, social protection systems, ecological robustness, and community networks.\n\nThe GDRI was created because river deltas are among the world's most vulnerable regions under climate change and environmental pressure. The dataset explicitly aims to bridge the gap between disaster-risk frameworks and sustainability frameworks. The GDRI enables comparisons of different river deltas globally at sub-delta administrative scales. This dataset present the application been applied for the Mekong Delta, the Red River Delta and Ganges-Brahmaputra-Meghna Delta.. The subnational Global Delta Risk Index 2025 gathered data from 28,608 villages across the Red River delta (Vietnam), the Mekong delta (Vietnam) and the Ganges-Brahmaputra-Meghna delta (India and Bangladesh).","documentType":"GEMINI_DOCUMENT","familyName":["Cremin","Le","Hua","Murshed","Mashfiqus","Banerjee","Ghosh","Renaud","Baron"],"fullName":["Emilie Cremin","Cremin, E.","Le, H.","Hua, H.H.","Murshed, S.","Mashfiqus, S.","Banerjee, S.","Ghosh, T.","Renaud, F.","Baron, L."],"funder":["Natural Environment Research Council"],"givenName":["Emilie","Hue","Hieu Hong","Sonia","Salehin","Sumana","Tuhin","Fabrice","Loïc"],"grant":["NE/S008926/1"],"identifier":"740821f3-92c6-48fa-ade7-526521a5aaba","incomingCitationCount":0,"keyword":["Environmental risk","Ecosystem services","Modelling","Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity","Vietnam","Bangladesh","India","Mekong River Delta","Red River Delta","Ganges Brahmaputra Meghna Delta"],"keywordsOther":["Multi-hazard risk","Social and ecological vulnerabilities","Adaptative capacities","Ecological robustness","Social susceptibility","Ecological sensitivity","Vietnam","Bangladesh","India","Mekong River Delta","Red River Delta","Ganges Brahmaputra Meghna Delta"],"keywordsTheme":["Environmental risk","Ecosystem services","Modelling"],"licence":"Open government licence","lineage":"To develop the Global Delta Risk Index, several factors are examined for each delta. These include locational factors, social susceptibility, lack of coping and adaptation capacities, ecosystem sensitivity, lack of ecosystem robustness, population exposure (in relation to climate, salinity, flooding, cyclones, storm surges), ecosystem exposure, agriculture exposure, aquaculture exposure, social-ecological vulnerability, social-ecological exposure, and social-ecological risk. Please refer to the metadata for full explanation of the dataset lineage.\n\nThis GDRI approach provides the following aspects:\nScale - Sub-delta administrative units\nType - Composite socio-ecological risk index\nData sources - Remote sensing, census, climate models, stakeholder input\nMethod - Indicator-based multi-hazard assessment\nFocus - Human + ecological vulnerability\nGoal - Decision support for resilience and sustainability\n\nThe GDRI uses a mixed-method and multi-source methodology combining: \nStep 1: Conceptual framework design\nStep 2: Stakeholder consultations and Workshops to identify locally relevant risks and indicators\nStep 3: Literature review\nStep 4: Spatial and statistical integration\nStep 5: Scenario modelling\n\nList of relevant indicators was defined with stakeholders and experts in 7 focus groups: 3 in the Mekong delta, 3 in the GBM-B and 1 in the RRD\n-\tScoring has been performed through online survey with 78 stakeholders and experts from 4 river deltas (including the GBM-I online)\n-\tSecondary data collected online (please refer to the metadata for the full list of secondary data sources).","locations":["POLYGON((104.658 8.485, 104.658 11.018, 107.275 11.018, 107.275 8.485, 104.658 8.485))","POLYGON((105.415 19.901, 105.415 21.391, 107.284 21.391, 107.284 19.901, 105.415 19.901))","POLYGON((87.654 21.638, 87.654 23.565, 89.127 23.565, 89.127 21.638, 87.654 21.638))","POLYGON((88.715 21.442, 88.715 24.176, 91.947 24.176, 91.947 21.442, 88.715 21.442))"],"metadataDate":"2026-07-03T10:27:52.000Z","orcid":["https://orcid.org/0000-0003-4732-2376","https://orcid.org/0000-0002-9775-3601","https://orcid.org/0000-0002-1513-7240","https://orcid.org/0009-0007-4641-6078","https://orcid.org/0000-0002-3466-867X","https://orcid.org/0000-0002-0830-1196","https://orcid.org/0000-0002-2847-0448"],"organisation":["University of Lausanne","Vietnam National University, Hanoi","Can Tho University","Bangladesh University of Engineering and Technology","Jadavpur University","University of Glasgow","Data Guard","Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/740821f3-92c6-48fa-ade7-526521a5aaba"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/019whta54","https://ror.org/02jmfj006","https://ror.org/0071qz696","https://ror.org/05a1qpv97","https://ror.org/02af4h012","https://ror.org/00vtgdb53","https://ror.org/04xw4m193"],"shortenedDescription":"The Global Delta Risk Index (GDRI) is a multi-hazard risk assessment framework designed to evaluate the vulnerability and resilience of river delta socio-ecological systems. It was developed mainly by researchers working on delta sustainability, disaster risk reduction,…","state":"published","supplementalDescription":["Cremin, E., O'Connor, J., Banerjee, S. et al. Aligning the Global Delta Risk Index with SDG and SFDRR global frameworks to assess risk to socio-ecological systems in river deltas. Sustain Sci 18, 1871-1891 (2023)."],"title":"The Global Delta Risk Index at Sub-National level analysis of multi-hazards risk in the Ganges-Brahmaputra-Meghna (Bangladesh and India), Mekong and the Red river Deltas (Vietnam), 2025","topic":["0/Environmental risk/","0/Ecosystem services/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Birmingham"],"authorFamilyName":["Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"authorFullName":["Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"authorGivenName":["D.","P.","R.","E.","I.","J.","C.I.","N."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements of conductivity, dissolved oxygen, pH and temperature. Druck pressure transducers were installed at the same sites to measure continuous water level values. The instruments were installed as part of the NERC funded Lowland Catchment Research (LOCAR) Programme to provide comparable baseline river water chemistry data across the LOCAR catchments. Data were collected continuously at 15-minutes intervals for periods of variable length, depending on site.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Leach","Henville","Wyatt","Hewitt","Morrissey","Weller","Tindall","Bachiller-Jareno"],"fullName":["Fry, M.","Leach, D.","Henville, P.","Wyatt, R.","Hewitt, E.","Morrissey, I.","Weller, J.","Tindall, C.I.","Bachiller-Jareno, N."],"givenName":["M.","D.","P.","R.","E.","I.","J.","C.I.","N."],"identifier":"00895096-e083-498f-9a52-b7f9e3291125","incomingCitationCount":1,"keyword":["Lowland Catchment Research Programme (LOCAR) ","Water quality","dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsOther":["dissolved oxygen","conductivity","temperature","water level","pH"],"keywordsProject":["Lowland Catchment Research Programme (LOCAR) "],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Temperature, pH, conductivity and dissolved oxygen data were collected using YSI 6-Series multi-parameter water quality sondes. Each sonde had multiple sensors that read water quality data. Water level data were collected using Druck Pressure Transducers. The transducers were fully submersible high performance sensors that produced reliable and accurate water level measurements. After two weeks of deployment in the river the sondes were taken back to the laboratory for calibration checks, cleaning, changing the membrane on the oxygen electrode and recalibration. During their transportation and storage they were kept moist at all times by adding a few drops of deionised water in the containing bottle. On return to the laboratory, the outside of the sonde body was wiped to remove silt, etc. The electrode guard was removed and the body of the electrode rinsed, avoiding cleaning the surface of the electrodes. The sonde was then connected to the battery pack and computer and the calibration software launched. Then, in the corresponding calibration software menus, the specific conductance, conductivity, dissolved oxygen charge were activated and their post calibration values recorded in the post calibration form. Before the sondes could be returned to the field they needed to be recalibrated. First, the glass surface of the pH electrode was gently wiped with a cotton bud wetted in alcohol. The inside of the conductivity electrode was scrubbed with a small bottle brush then the sonde was rinsed with distilled water. The 'O' ring was removed and the plastic membrane from the oxygen electrode was replaced by a new one. The 'O' ring was then replaced. The new membrane needed at least 12 hours to condition before calibration. The sonde was therefore left in the transportation pot (containing moist sponge) until the next day before being calibrated. To calibrate the sonde, it was connected to the battery pack and the computer. From the calibration routine, in the sonde software menu, the dissolved oxygen charge was activated. Then dissolved oxygen, conductivity and pH were consecutively selected for calibration. The Catchment Service Team in each catchment was responsible for installing, maintaining and downloading the loggers on the YSI sondes and Druck pressure transducers at each site on a regular basis. Data are raw and have not been quality controlled nor corrected for instrument failure or instrument drift. A zip file containing box-and-whisker plots for each determinand, showing the range of values (median, inter-quartile range, 1.5 * inter-quartile range, outliers) recorded at each site is available to enable prospective users of the data to understand data quality. (For further details see the supporting documentation for this dataset)","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-06-27T19:24:35.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Birmingham","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1426780471009","CEH:EIDC::1426780471009","https://catalogue.ceh.ac.uk/id/00895096-e083-498f-9a52-b7f9e3291125","10.5285/00895096-e083-498f-9a52-b7f9e3291125","doi:10.5285/00895096-e083-498f-9a52-b7f9e3291125"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level from the Frome Piddle; Pang Lambourn and Tern catchments, recorded between 2002 and 2007. YSI sondes were installed at 16 sites in these catchments to record continuous measurements…","state":"published","title":"Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level in rivers (2002-2007) [LOCAR]","topic":["0/Water quality/"],"version":1.0,"view":["public","cit"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Chemical analysis of stream, river and rainfall samples for lowland rivers in the UK. The data are uncensored and provide a basis for research purposes, and must be viewed in this light. Information on analytical methodologies is available, including detection limits, from which the user can choose how the data might be interpreted. The basins studied were the Tweed, Wear, Humber, Great Ouse and Thames. One tributary (the Teviot) and two main-stem sites were monitored in the Tweed Catchment. One site around two-thirds down the catchment of the River Wear was monitored. Humber Basin Monitoring was undertaken for all the tributaries especially near their downstream limits. The Great Ouse was monitored around half way down the catchment. The Thames catchment was monitored upstream and downstream of sewage inputs to the river, prior and post effluent stripping of phosphorus. This work formed part of a major UK initiative introduced in the early 1990s, the Land Ocean Interaction Study, LOIS, to examine water, chemical and sediment fluxes from the eastern UK rivers to the North Sea. The entire LOIS core monitoring data, including a wider range of determinands, is available from EIDC. As part of this and subsequent work, the initiative was extended to examine a range of catchment basins, from rural to agricultural and industrial/urban impacted ones. ","documentType":"GEMINI_DOCUMENT","identifier":"8e23a86b-6b54-4564-9789-23f4b4e045ea","incomingCitationCount":0,"keyword":["United Kingdom","Water quality","Analytical chemistry","Hydrochemistry"],"keywordsOther":["Analytical chemistry","Hydrochemistry"],"keywordsPlace":["United Kingdom"],"keywordsTheme":["Water quality"],"licence":"Non-Open government licence","lineage":"Water quality was monitored for eastern UK rivers (Tweed and Humber) as part of the Land Ocean Interaction Study, LOIS, in the early 1990s. Subsequently, the monitoring was transferred to the Wear, Great Ouse and most extensively to the Thames Basin and for the latter, rainfall was also measured . The chemical analysis undertaken within the LOIS programme was undertaken within CEH laboratories at Wallingford (then Institute of Hydrology), Ferry House (Institute of Freshwater Ecology, Windermere) and associated CEH laboratories at York and Stirling. The later analysis was undertaken by the CEH Wallingford Laboratories with phosphorus data for the Wear was measured in collaboration with Professor Brian Whitton at the University of Durham. All data collated by Colin Neal of CEH Wallingford","locations":["POLYGON((-13.41 49.16, -13.41 60.85, 1.77 60.85, 1.77 49.16, -13.41 49.16))"],"metadataDate":"2026-06-27T11:06:57.000Z","organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2010-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1293030018470","CEH:EIDC::1293030018470","https://catalogue.ceh.ac.uk/id/8e23a86b-6b54-4564-9789-23f4b4e045ea"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"Chemical analysis of stream, river and rainfall samples for lowland rivers in the UK. The data are uncensored and provide a basis for research purposes, and must be viewed in this light. Information on analytical methodologies is available, including detection limits,…","state":"published","supplementalDescription":["Neal, C., Bowes, M., Jarvie, H. P., Scholefield, P., Leeks, G., Neal, M., Rowland, P., Wickham, H., Harman, S., Armstrong, L., Sleep, D., Lawlor, A. and Davies, C. E. (2012), Lowland river water quality: a new UK data resource for process and environmental management analysis. Hydrol. Process., 26: 949-960.","Colin Neal, Phil Rowland, Paul Scholefield, Colin Vincent, Clive Woods, Darren Sleep, The Ribble/Wyre observatory: Major, minor and trace elements in rivers draining from rural headwaters to the heartlands of the NW England historic industrial base, Science of The Total Environment, Volume 409, Issue 8, 15 March 2011, Pages 1516-1529, ISSN 0048-9697."],"title":"UK lowland river chemistry","topic":["0/Water quality/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Ashoka Trust for Research in Ecology and the Environment","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Uday","Purse","Vanak","Samrat","Chaudhary","Gerard"],"authorFullName":["Uday, N.G.","Purse, B.","Vanak, A.T.","Samrat, A.","Chaudhary, A.","Gerard, F."],"authorGivenName":["N.G. ","B.","A.T.","A.","F."],"authorRor":["https://ror.org/02e22ra24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the image backscatter histogram. The average threshold value excluded the monsoon months due to the difference in water and not water area. The threshold value was slightly lesser than the mean threshold value. The end product was validated using field data which resulted in user and producer accuracies. Monthly surface water body layers were not produced for a few months due to the non-availability of Sentinel 1 data.\n\nThe work was supported by MRC, AHRC, BBSRC, ESRC and NERC [grant number MR/P024335/1] and NERC - SUNRISE project [grant number NE/R000131/1]","documentType":"GEMINI_DOCUMENT","familyName":["Uday","Purse","Vanak","Samrat","Chaudhary","Gerard"],"fullName":["Uday, N.G.","Purse, B.","Vanak, A.T.","Samrat, A.","Chaudhary, A.","Gerard, F."],"funder":["Natural Environment Research Council","Medical Research Council"],"givenName":["N.G. ","B.","A.T.","A.","F."],"grant":["NE/R000131/1","MR/P024335/1"],"identifier":"3c23fea1-5b27-4b01-b9ef-fc13346cfedc","incomingCitationCount":0,"keyword":["Hydrology","Sentinel 1","SAR","seasonal","remote sensing","land cover","hydrology","flooding","water body","surface water"],"keywordsOther":["Sentinel 1","SAR","seasonal","remote sensing","land cover","hydrology","flooding","water body","surface water"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Maps were generated using Sentinel1A GRD data pre-processed to backscatter images using the SNAP software.\n\nSurface water is identified by applying a water/non-water threshold on the SAR backscatter images. The resulting maps were validated against in situ reference data to produce a measure of class user’s and producer’s accuracy.","locations":["POLYGON((73.21 11.38, 73.21 16.67, 76.47 16.67, 76.47 11.38, 73.21 11.38))"],"metadataDate":"2026-06-29T18:13:27.000Z","organisation":["Ashoka Trust for Research in Ecology and the Environment","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3c23fea1-5b27-4b01-b9ef-fc13346cfedc","10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc","doi:10.5285/3c23fea1-5b27-4b01-b9ef-fc13346cfedc"],"resourceType":"Dataset","rightsHolder":["Ashoka Trust for Research in Ecology and the Environment","UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/02e22ra24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data provided are monthly surface water layers extracted from Sentinel1A SAR data for 3 districts in India (Shivamogga, Sindhudurg, Wayanad) for the year 2017 and 2018. Surface water body layers were mapped using an average monthly threshold value extracted from the…","state":"published","title":"Radar derived seasonal surface water maps for three Indian districts (Shivamogga, Sindhudurg, Wayanad), 2017-2018","topic":["0/Hydrology/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna"],"authorFamilyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"authorFullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"authorGivenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"authorOrcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)","TIFF"],"description":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). The quantitative descriptions provide context for enabling geomorphologically-informed sustainable river management. The geodatabase provides a baseline understanding of fundamental topographic characteristics in support of varied geomorphological, hydrological and geohazard susceptibility applications.\n\nData sets include:\n 1) GIS shapefiles with river catchment properties;\n 2) GIS shapefiles with stream network properties;\n 3) spreadsheets containing morphometric and topographic characteristics (n = 91);\n 4) example MATLAB code and topographic data to replicate the analysis for a selected catchment.\n\nThe work was supported by the Natural Environment Research Council (NERC) and Department of Science and Technology - Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) – Newton Fund grant NE/S003312/1.","documentType":"GEMINI_DOCUMENT","familyName":["Boothroyd","Williams","Hoey","MacDonell","Tolentino","Quick","Guardian","Reyes","Sabillo","Perez","David"],"fullName":["Boothroyd, R.J.","Williams, R.D.","Hoey, T.B.","MacDonell, C.","Tolentino, P.L.M.","Quick, L.","Guardian, E.L.","Reyes, J.C.M.","Sabillo, C.J.","Perez, J.E.G.","David, C.P.C."],"funder":["Natural Environment Research Council"],"givenName":["R.J.","R.D.","T.B.","C.","P.L.M.","L. ","E.L.","J.C.M.","C.J.","J.E.G.","C.P.C."],"grant":["NE/S003312/1"],"identifier":"49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","incomingCitationCount":0,"keyword":["Philippines","Hydrology","Topography","river","catchment","Stream networks","river management","geomorphology"],"keywordsOther":["Topography","river","catchment","Stream networks","river management","geomorphology"],"keywordsPlace":["Philippines"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The analysis used a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar (IfSAR), with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy.\nCatchment and stream network properties were calculated using TopoToolbox V2.\n\nThe web-application was designed using the ArcGIS Web AppBuilder.\n\nThe data set is fully described in Boothroyd et al. (2023) https://doi.org/10.1371/journal.pone.0281933 .","locations":["POLYGON((116 4, 116 21, 127 21, 127 4, 116 4))"],"metadataDate":"2026-06-27T20:00:11.000Z","orcid":["https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-5516-5078","https://orcid.org/0000-0002-1803-9734"],"organisation":["School of Geographical and Earth Sciences, University of Glasgow","Department of Civil and Environmental Engineering, Brunel University London","National Institute of Geological Sciences, University of the Philippines","Department of Geography & Regional Research, University of Vienna","University of Glasgow","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","10.5285/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e","doi:10.5285/49ae11ec-e4e5-4e4a-b091-976d18c4ee3e"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/00dn4t376","https://ror.org/03tbh6y23","https://ror.org/03prydq77","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a national-scale geodatabase of stream network and river catchment characteristics in the Philippines. It presents detailed information on 128 medium- to large-sized catchments (catchment area > 250 km2). The quantitative descriptions provide context…","state":"published","supplementalDescription":["Boothroyd, RJ., Williams, RD., Hoey, TB., MacDonell, C., Tolentino, PLM., Quick, L., Guardian, EL., Reyes, M., Sabillo, C., Perez, JEG and David, CPC. National-scale geodatabase of catchment characteristics in the Philippines for river management applications. PLOS ONE. 18(3): e0281933.","An interactive version of the catchment geodatabase."],"title":"National-scale geodatabase of catchment characteristics in the Philippines","topic":["0/Hydrology/"],"version":1.0,"view":["public","rafbar"]},{"authorAffiliation":["University of Exeter","Pontificia Universidad Católica del Perú ","Ichthion Limited","Pontificia Universidad Católica del Perú"],"authorFamilyName":["Pinheiro","Ita-Nagy","Hidalgo","Flor","Osorio Baquero","Becerra","Grønneberg","Vázquez-Rowe","Kahhat","Lewis","Galloway"],"authorFullName":["Pinheiro, L.","Ita-Nagy, D.","Hidalgo, D.G.","Flor, D.","Osorio Baquero, A.","Becerra, N.","Grønneberg, I.","Vázquez-Rowe, I.","Kahhat, R.","Lewis, C.","Galloway, T.S."],"authorGivenName":["L.","D.","D.G.","A.","N.","I.","R.","C.","T.S."],"authorOrcid":["https://orcid.org/0000-0003-2064-7138","https://orcid.org/0000-0002-2512-3731","https://orcid.org/0009-0005-3458-9276","https://orcid.org/0009-0005-8418-5704","https://orcid.org/0000-0003-3568-8338","https://orcid.org/0000-0002-7469-2033","https://orcid.org/0000-0001-7321-2256","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00013q465"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing the impacts of plastic waste in the Eastern Pacific Ocean', which aims to \"reduce plastic leakage in the Eastern Pacific region, supporting development of a sustainable, circular plastics resource flow and reducing the impacts of plastic pollution on livelihoods and wildlife\". This data was collected to monitor the river hydrological conditions alongside collections of anthropogenic litter using the Azure System developed by Ichthion Limited (https://ichthion.com/tecnologia/).","documentType":"GEMINI_DOCUMENT","familyName":["Pinheiro","Ita-Nagy","Hidalgo","Flor","Osorio Baquero","Becerra","Grønneberg","Vázquez-Rowe","Kahhat","Lewis","Galloway"],"fullName":["Pinheiro, L.","Ita-Nagy, D.","Hidalgo, D.G.","Flor, D.","Osorio Baquero, A.","Becerra, N.","Grønneberg, I.","Vázquez-Rowe, I.","Kahhat, R.","Lewis, C.","Galloway, T.S."],"funder":["Natural Environment Research Council","Pontificia Universidad Católica del Perú ","Benioff Ocean Science Laboratory","The Coca Cola Foundation"],"givenName":["L.","D.","D.G.","A.","N.","I.","R.","C.","T.S."],"grant":["NE/V005448/1","PI0859"],"identifier":"6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2","incomingCitationCount":0,"keyword":["Ecuador","Portoviejo River","Hydrology","hydrology","watershed","river discharge","river flow"],"keywordsOther":["hydrology","watershed","river discharge","river flow"],"keywordsPlace":["Ecuador","Portoviejo River"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Data for hydrological parameters was originally collected by Ichthion, following a daily routine of data collection followed by tabulation onto a digital Excel spreadsheet. The Excel files were organized per year of sampling (2021 and 2022), and each file corresponding to one year contained one tab for each month of the year. From those initial spreadsheets, hydrological data was checked by Ichthion for quality control, and then reorganized at the University of Exeter onto a new spreadsheet compiling all months and years into the single file that is provided here. ","locations":["POLYGON((-80.589 -1.162, -80.589 -0.927, -80.285 -0.927, -80.285 -1.162, -80.589 -1.162))"],"metadataDate":"2026-06-29T16:50:30.000Z","orcid":["https://orcid.org/0000-0003-2064-7138","https://orcid.org/0000-0002-2512-3731","https://orcid.org/0009-0005-3458-9276","https://orcid.org/0009-0005-8418-5704","https://orcid.org/0000-0003-3568-8338","https://orcid.org/0000-0002-7469-2033","https://orcid.org/0000-0001-7321-2256","https://orcid.org/0000-0002-3564-2906","https://orcid.org/0000-0002-7466-6775"],"organisation":["University of Exeter","Pontificia Universidad Católica del Perú ","Ichthion Limited","Pontificia Universidad Católica del Perú","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2","10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2","doi:10.5285/6d2ad65f-1a8f-4819-892b-1b4de8d0d7c2"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/00013q465","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily measurements of river flow velocity (m/s), river discharge (m3/s), river depth (cm), and river width (m) from the Portoviejo River, Ecuador, from years 2021 and 2022. This dataset was generated as part of the NERC funded project 'Reducing…","state":"published","title":"Hydrological data from the Portoviejo River, Ecuador, 2021-2022","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service shows the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK.  Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also provided.\n\nThe model is based on laboratory data of environmental responses of these pathogens and hourly temperature and relative humidity regimes in the period, and describes how many times infection could have been completed within running 48 hour periods through the year.\n\nThis research was funded by the Scottish Government under research contract CR/2008/55, 'Study of the epidemiology of Phytophthora ramorum and Phytophthora kernoviae in managed gardens and heathlands in Scotland' and involved collaborators from St Andrews University, Science and Advice for Scottish Agriculture (SASA), Scottish Natural Heritage (SNH), Forestry Commission, the Food and Environment Research Agency (FERA) and the Centre for Ecology & Hydrology (CEH).","documentType":"GEMINI_DOCUMENT","familyName":["Purse"],"fullName":["Purse, B."],"givenName":["B."],"identifier":"da198f95-d93d-4759-bf51-6ec0b8bdfaee","incomingCitationCount":0,"keyword":["Modelling","Phytophthora ramorum","Phytophthora kernoviae "],"keywordsOther":["Phytophthora ramorum","Phytophthora kernoviae "],"keywordsTheme":["Modelling"],"licence":"Non-Open government licence","locations":["POLYGON((-12.622 47.654, -12.622 60.985, 6.981 60.985, 6.981 47.654, -12.622 47.654))"],"metadataDate":"2026-06-27T15:17:25.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-15T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/da198f95-d93d-4759-bf51-6ec0b8bdfaee"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service shows the suitability of climate conditions for infection of Phytophthora ramorum and Phytophthora kernoviae across the UK.  Suitability is mapped for individual years 2007 to 2011; the average and standard deviations for the whole period are also…","state":"published","title":"Web Map Service of Climate suitability for Phytophthora ramorum and Phytophthora kernoviae infection in the UK","topic":["0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"altTitle":["MultiMOVE Version 1.0"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorFamilyName":["Henrys","Rowe","Evans","Emmett","Smart","Butler"],"authorFullName":["Henrys, P.","Rowe, E.C.","Evans, C.D.","Emmett, B.A.","Smart, S.M.","Butler, A."],"authorGivenName":["P.","E.C.","C.D.","B.A.","S.M.","A."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["R Script"],"description":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 2.10.1 and depends on R packages 'leaps', 'earth', 'fields' and 'mgcv'.","documentType":"GEMINI_DOCUMENT","familyName":["Henrys","Rowe","Evans","Emmett","Smart","Butler"],"fullName":["Henrys, P.","Rowe, E.C.","Evans, C.D.","Emmett, B.A.","Smart, S.M.","Butler, A."],"givenName":["Peter","P.","E.C.","C.D.","B.A.","S.M.","A."],"identifier":"c4d0393e-ff0a-47da-84e0-09ca9182e6cb","incomingCitationCount":0,"keyword":["Great Britain","Modelling","Vegetation science","ecology","vegetation","model"],"keywordsOther":["Vegetation science","ecology","vegetation","model"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling"],"licence":"Non-Open government licence","lineage":"Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6876 60.85, 2.6876 49.837, -9.227 49.837))"],"metadataDate":"2026-05-11T18:13:10.000Z","orcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-03-04T00:00:00.000Z","recordType":"Model","resourceIdentifier":["10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb","doi:10.5285/c4d0393e-ff0a-47da-84e0-09ca9182e6cb","https://catalogue.ceh.ac.uk/id/c4d0393e-ff0a-47da-84e0-09ca9182e6cb"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from…","state":"published","supplementalName":["Manual for R Statistical Environment extensions"],"title":"MultiMOVE: A Package of niche models for British vegetation","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Cambridge","University of St Andrews"],"authorFamilyName":["Knight","Bridgestock","Tipper"],"authorFullName":["Knight, A.C.G.","Bridgestock, L.","Tipper, E.T."],"authorGivenName":["A.C.G.","L.","E.T."],"authorOrcid":["https://orcid.org/0000-0002-3206-3060","https://orcid.org/0000-0001-7636-6090","https://orcid.org/0000-0003-3540-3558"],"authorRor":["https://ror.org/013meh722","https://ror.org/02wn5qz54"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite, iron-oxyhydroxides: goethite and ferrihydrite) and surface waters (river water, groundwater and seawater).  The experiments systematically changed several variables (reaction duration, adsorbent concentration, water type and the pre-experiment adsorbent cleaning procedure).\n\nBarium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases from two Himalayan rivers (Saptakoshi River and Sunkoshi River) are also provided.","documentType":"GEMINI_DOCUMENT","familyName":["Knight","Bridgestock","Tipper"],"fullName":["Knight, A.C.G.","Bridgestock, L.","Tipper, E.T."],"funder":["Natural Environment Research Council"],"givenName":["A.C.G.","L.","E.T."],"grant":["NE/S007164/1"],"identifier":"cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","incomingCitationCount":0,"keyword":["Himalayas","Nepal","Saptakoshi River","Sunkoshi River","Hydrology","Environmental survey","ion-exchange","isotope experiments","barium","barium isotopes","adsorption","desorption","clay","clay minerals","aqueous geochemistry","iron-oxyhydroxides"],"keywordsOther":["ion-exchange","isotope experiments","barium","barium isotopes","adsorption","desorption","clay","clay minerals","aqueous geochemistry","iron-oxyhydroxides"],"keywordsPlace":["Himalayas","Nepal","Saptakoshi River","Sunkoshi River"],"keywordsTheme":["Hydrology","Environmental survey"],"licence":"Open government licence","lineage":"All experiments and analyses were performed in the Department of Earth Sciences at the University of Cambridge.\n\nBarium concentrations were determined in two independent ways:\n1.    Inductively coupled plasma optical emission spectroscopy (ICP-OES) on an Agilent 5100.\n2.\tIsotope dilution via thermal ionisation mass spectrometer (TIMS) on a Thermo Fischer Scientific Triton Plus.\n\nBarium isotope ratios were measured via TIMS on a Thermo Fischer Scientific Triton Plus. Barium was separated from other elements via column elution chromatography (AG50W-X8 resin). A double-spike procedure was used to correct for mass-dependent isotope fractionation. The NIST-3104a and NBS-127 standards were used to quantify the uncertainty associated with isotope ratio measurements (0.03 ‰).\n\nField samples of river water and sediment were collected from the surface of the water column from stationary sampling locations (Chatara and Khurkot) as part of the Perturbations of Earth Surface Processes by Large Earthquakes (PRESSurE) Project:  https://www.gfz-potsdam.de/en/section/geomorphology/projects/pressure/.  The water and sediment samples were immediately separated following collection via filtration through 0.22-micrometre polyethersulfone (PES) membrane filters. Further information on the field samples can be found at: https://doi.org/10.5880/fidgeo.2024.008. The desorption of barium from the surfaces of sediment and the laboratory adsorbents was achieved using repeated additions of 1.0 mol/L ammonium chloride (Puratronic™, 99.999% (metals basis), Thermo Scientific Chemicals).","locations":["POLYGON((84.99 26.647, 84.99 28.517, 88.321 28.517, 88.321 26.647, 84.99 26.647))"],"metadataDate":"2026-06-29T15:42:16.000Z","orcid":["https://orcid.org/0000-0002-3206-3060","https://orcid.org/0000-0001-7636-6090","https://orcid.org/0000-0003-3540-3558"],"organisation":["University of Cambridge","University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","10.5285/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd","doi:10.5285/cfa9abd4-1200-47b6-9553-aa1b6e4d9ffd"],"resourceType":"Dataset","rightsHolder":["University of Cambridge"],"ror":["https://ror.org/013meh722","https://ror.org/02wn5qz54","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains barium concentration and stable isotope ratio measurements of the adsorbed and dissolved phases associated with batch laboratory adsorption-desorption reactions using common environmental mineral adsorbents (clay minerals: kaolinite & montmorillonite,…","state":"published","title":"Barium concentration and stable isotope ratio measurements of the dissolved and adsorbed phases from laboratory batch experiments and Himalayan river samples from 2015-2016","topic":["0/Hydrology/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=4&facet=topic%7C(0/Water%20quality/%20OR%200/Modelling/%20OR%200/Hydrology/)"}