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It turns a R Markdown document to guided, editable, isolated, executable, and…","state":"published","supplementalDescription":["Lamb Weather Types (LWTs)","Reading daily Atlantic multidecadal oscillation (AMO) data"],"title":"R Shiny demonstrator application for advancing reproducible research","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Cooper","Evans","Norris","Burden","Lawler"],"authorFullName":["Cooper, D.M.","Evans, C.","Norris, D.","Burden, A.","Lawler, A."],"authorGivenName":["D.M.","C.","D.","A."],"authorOrcid":["https://orcid.org/0000-0001-7578-7918","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0002-7694-1638"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Surface water quality data for the Conwy catchment, North Wales are presented. The data cover stream and estuary survey locations sampled manually from 2007 to 2011 at varying intervals between fortnightly and quarterly. Survey locations were selected as draining the main landscape classes in the catchment, which include upland (>300m) and lowland (<300m) environments under trees, moorland or improved agriculture. Also included are a suite of locations on the major rivers, and in the estuary. The purpose of the data is to provide support for estimating loads and testing hypotheses relating to the relationship between subcatchment properties and water quality, and the relative importance of mixing and in-stream processes in influencing downstream water quality. Streams draining peat, with high dissolved organic carbon concentrations, are well represented. Upland drainage is generally acidic, and lowland circum-neutral. The lowland rivers are not heavily contaminated with nutrients, although they show evidence of some loss of nitrates in particular. There is little industry in the catchment beyond agriculture and tourism, though there is some legacy contamination from metal mines in a small part of the catchment. Measurements are provided for major cations and anions, pH, alkalinity, DOC, Al, Fe and conductivity for most samples, with values for a wide range of trace elements for a limited number of samples.","documentType":"GEMINI_DOCUMENT","familyName":["Cooper","Evans","Norris","Burden","Lawler"],"fullName":["Cooper, D.M.","Evans, C.","Norris, D.","Burden, A.","Lawler, A.","Cooper, D."],"givenName":["D.M.","C.","D.","A.","David"],"identifier":"c53a1f93-f64c-4d84-82a7-44038a394c59","incomingCitationCount":2,"keyword":["Conwy Catchment","Wales","United Kingdom","Water quality","river","stream","lake","water quality","hydrochemistry"],"keywordsOther":["river","stream","lake","water quality","hydrochemistry"],"keywordsPlace":["Conwy Catchment","Wales","United Kingdom"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Water samples were collected at 67 sites within the Conwy catchment, N. Wales. Many of the sampling sites are headwaters; some are on major tributaries or the main Conwy river. Headwater sites were selected in a manner loosely stratified by 'landscape class' formed by combining dominant land use and soils classes. However, site locations were not randomised, but all readily accessible from roads. The purpose of data collection was to 1) To help identify statistical relationships between headwater stream chemistry and catchment characteristics and 2) To provide test data for modelling stream water chemistry at downstream sites. The PEARLS/CASCADE model has been used for this purpose. In recent years the focus has been on the carbon budget, and the data may be compared with data from other experimental and survey projects within the catchment. Many sites were originally selected for acid rain research and have earlier data not included in the database. These sites were part of a wider network covering North and Mid Wales. For some sites there are additional data from sampling by other bodies, such as the Environment Agency (EA). Other Conwy sites not recorded may also have EA or other data. Samples were filtered immediately after collection through a 0.45µm cellulose nitrate filter paper. In situ measurements of pH and conductivity were taken at the same time as water samples were collected. Samples were stored below 4°C before analysis in the UKAS accredited labs in CEH Lancaster. The results from 60 determinands are presented in the dataset, including the standard suite of base cations, anions and metals. Full details of site location, field and laboratory methodology is included in the supporting documents that accompany the dataset.","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"metadataDate":"2026-06-29T18:10:20.000Z","orcid":["https://orcid.org/0000-0001-7578-7918","https://orcid.org/0000-0001-8298-555X","https://orcid.org/0000-0002-7694-1638"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2013-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c53a1f93-f64c-4d84-82a7-44038a394c59","10.5285/c53a1f93-f64c-4d84-82a7-44038a394c59","doi:10.5285/c53a1f93-f64c-4d84-82a7-44038a394c59"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Surface water quality data for the Conwy catchment, North Wales are presented. The data cover stream and estuary survey locations sampled manually from 2007 to 2011 at varying intervals between fortnightly and quarterly. Survey locations were selected as draining the…","state":"published","title":"Conwy catchment - spatial water chemistry dataset","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"altTitle":["River Frome water chemistry dataset (1965-2009)"],"authorAffiliation":["Centre for Ecology & Hydrology","Freshwater Biological Association","Freshwater Biological Association / Centre for Ecology & Hydrology"],"authorFamilyName":["Bowes","Casey","Hilton","House","Leach"],"authorFullName":["Bowes, M.","Casey, H.","Hilton, J.","House, A.","Leach, D."],"authorGivenName":["M.","H.","J.","A.","D."],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02j85cg51"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data from weekly water quality monitoring of the River Frome at East Stoke, Dorset (National Grid Reference SY 867868). The dataset consists of nitrate, soluble reactive phosphorus, dissolved silicon, pH, alkalinity, potassium, sodium, calcium and magnesium concentrations for the entire 44-year monitoring period, with total phosphorus, total dissolved phosphorus, electrical conductivity, water temperature, chloride, sulphate and ammonium concentration data for periods within the monitoring period. Daily average river flow on the day of sampling (extracted from the National River Flow Archive) is included. ","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Casey","Hilton","House","Leach"],"fullName":["Bowes, M.","Casey, H.","Hilton, J.","House, A.","Leach, D."],"givenName":["M.","H.","J.","A.","D."],"identifier":"aa82fa99-d38c-47a7-9405-f0773edcd7a8","incomingCitationCount":0,"keyword":["Frome","Dorset","Water quality"],"keywordsPlace":["Frome","Dorset"],"keywordsTheme":["Water quality"],"licence":"Non-Open government licence","lineage":"Chemistry data generated by FBA, IFE and CEH staff over last 44 years, including Harry Casey, Alan House and Jim Smith. Final project manager was Mike Bowes (CEH). River flow data supplied by 'UK National River Flow Archive'. Analytical methods are in the supporting paper. Mainly weekly sampling but some sample dates missing particularly after 1997. Data validated and erroneous values removed. Some total phosphorus data has been removed between 2004 and 2006 due to analytical errors caused by change in methodology. Between 2004 and 2006 some duplicate samples were taken to obtain correct TP data.","locations":["POLYGON((-2.5700000000000003 50.66, -2.5700000000000003 50.78, -2.07 50.78, -2.07 50.66, -2.5700000000000003 50.66))"],"metadataDate":"2026-06-27T18:43:49.000Z","organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Freshwater Biological Association","Freshwater Biological Association / Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2011-03-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1292419132250","CEH:EIDC::1292419132250","https://catalogue.ceh.ac.uk/id/aa82fa99-d38c-47a7-9405-f0773edcd7a8","10.5285/aa82fa99-d38c-47a7-9405-f0773edcd7a8","doi:10.5285/aa82fa99-d38c-47a7-9405-f0773edcd7a8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/02j85cg51","https://ror.org/04xw4m193"],"shortenedDescription":"Data from weekly water quality monitoring of the River Frome at East Stoke, Dorset (National Grid Reference SY 867868). The dataset consists of nitrate, soluble reactive phosphorus, dissolved silicon, pH, alkalinity, potassium, sodium, calcium and magnesium concentrations…","state":"published","supplementalName":["NERC Open Research Archive repository record for journal paper based on this dataset"],"title":"Water chemistry data for the River Frome, Dorset, UK, from 1965-2009","topic":["0/Water quality/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)"],"authorFamilyName":["Zelazowski","Huntingford","Mercado","Schaller"],"authorFullName":["Zelazowski, P.","Huntingford, C.","Mercado, L.M.","Schaller, N."],"authorGivenName":["P.","C.","L.M.","N."],"authorOrcid":["https://orcid.org/0000-0002-5941-7770"],"authorRor":["https://ror.org/039bjqg32","https://ror.org/00pggkr55","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII"],"description":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). The patterns are a set of regression coefficients, each representing the change per degree of mean global warming over land, for the corresponding meteorological variable. The meteorological variables analysed for each GCM include: surface temperature change per degree global warming (K/K); surface relative humidity change per degree global warming (%/K); wind change per degree global warming (m/s/K); longwave change per degree global warming (W/m2/K); shortwave change per degree global warming (W/m2/K); precipitation change per degree global warming (mm/day/K) and pressure change per degree global warming (hPa/K). \n\nThe 22 GCMs emulated are: BCCR-BCM2.0, CGCM3.1(T47), CNRM-CM3, CSIRO-Mk3.0, CSIRO-Mk3.5, GFDL-CM2.0, GFDL-CM2.1, GISS-EH, GISS-ER, FGOALS-g1.0, INGV-SXG, INM-CM3.0, IPSL-CM4, MIROC3.2(hires), MIROC3.2(medres), ECHO-G, ECHAM5/MPI-OM, MRI-CGCM2.3.2, CCSM3, PCM, UKMO-HadCM3, UKMO-HadGEM1.\n\nThe supporting information document associated with this metadata includes parameters for an energy balance model (IMOGEN EBM) that calculates the amount of global warming. Each GCM output has been re-mapped on to UKMO-HadCM3 grid, with resolution of 3.75 deg longitude and 2.5 deg latitude; this produces a surface spatial resolution of about 417 km E-W x 278 km N-S, reducing to 295 km E-W x 278 km N-S at 45 degrees North and South. This corresponds to 1631 land points, each of which has a row in the provided data files.\n\nThe data presented here is calibration of IMOGEN EBM parameters and patterns against 22 GCMs in the CMIP3 GCM ensemble.  ","documentType":"GEMINI_DOCUMENT","familyName":["Huntingford","Zelazowski","Mercado","Schaller"],"fullName":["Huntingford, C.","Zelazowski, P.","Mercado, L.M.","Schaller, N."],"givenName":["Chris","P.","C.","L.M.","N."],"identifier":"4e8f3459-4101-4c85-a598-80b3c739f580","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsOther":["Global Circulation Model (GCM)","Global climate-carbon cycle model","Future climate projections","Energy Balance Model (EBM)","Integrated Model Of Global Effects of climatic aNomalies (IMOGEN)"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"The pattern-scaling set is derived from 22 global circulation models (GCM) of the he World Climate Research Programme's (WCRP's) Coupled Model Intercomparison Project phase 3 (CMIP3) multi-model dataset. For each GCM emulated, regression is performed for each meteorological variable, each month and each grid box against global mean warming over land.\n\nThis calibration is a \"beta\" program. Although significant effort was placed on ensuring the EBM parameters and parameters are accurate, this exercise should be regarded as generating a \"beta\" product, and predominantly for sensitivity studies in research. Plans are now being put in place to revisit this activity, but with calibration against CMIP5 models. This newer attempt will ensure full numerical code documentation, traceability on demand and with scripts utilising open-access software. This will aim to meet ISO standards for numerical model building. \n","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:24:17.000Z","orcid":["https://orcid.org/0000-0002-5941-7770"],"organisation":["UK Centre for Ecology & Hydrology","University of Warsaw","Centre for Ecology & Hydrology","University of Exeter","Center for International Climate and Environmental Research (CICERO)","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-10-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4e8f3459-4101-4c85-a598-80b3c739f580","10.5285/4e8f3459-4101-4c85-a598-80b3c739f580","doi:10.5285/4e8f3459-4101-4c85-a598-80b3c739f580"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/039bjqg32","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of monthly spatial patterns of meteorological change for 22 Global Circulation Models (GCMs). 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CHESS-land resulted as output from an integration of the JULES land surface model driven by CHESS-met.\n","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, E."],"givenName":["Emma"],"identifier":"7de9790e-66a2-44b5-988e-283d764ef52f","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Non-Open government licence","metadataDate":"2026-03-02T09:43:58.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7de9790e-66a2-44b5-988e-283d764ef52f"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"The Climate hydrology and ecology research support system (CHESS) provides high-resolution gridded datasets for environmental research. 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"],"supplementalName":["MAJIC"],"title":"Climate hydrology and ecology research support system [CHESS]","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Maberly","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"authorFullName":["Maberly, S.C.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.","Feuchtmayr, H."],"authorGivenName":["S.C.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","B.","S.J.","C.","H."],"authorOrcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling by the Centre for Ecology & Hydrology (and previously the Institute of Freshwater Ecology) at Derwent Water 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. 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 August 1990 until the end of 2013.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Maberly","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent"],"fullName":["Feuchtmayr, H.","Maberly, S.C.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C."],"givenName":["H.","S.C.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","B.","S.J.","C."],"identifier":"106844ff-7b4c-45c3-8b4c-7cfb4a4b953b","incomingCitationCount":0,"keyword":["Lake District","Derwent Water","Environmental survey","Water quality"],"keywordsPlace":["Lake District","Derwent Water"],"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. Water samples are based on a sample integrated from 0 to 5 m.  Samples were analysed in Centre for Ecology & Hydrology laboratories.","locations":["POLYGON((-3.176 54.551, -3.176 54.603, -3.116 54.603, -3.116 54.551, -3.176 54.551))"],"metadataDate":"2026-06-29T17:07:33.000Z","orcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/106844ff-7b4c-45c3-8b4c-7cfb4a4b953b","10.5285/106844ff-7b4c-45c3-8b4c-7cfb4a4b953b","doi:10.5285/106844ff-7b4c-45c3-8b4c-7cfb4a4b953b"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling by the Centre for Ecology & Hydrology (and previously the Institute of Freshwater Ecology) at Derwent…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Derwent Water, 1990 to 2013","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Hood","Nemitz","Vieno","Liska","Scheffler","Beck","Carnell","Tomlinson","Pearson"],"authorFullName":["Hood, C.","Nemitz, E.","Vieno, M.","Liska, T.","Scheffler, J.","Beck, R.","Carnell, E.J.","Tomlinson, S.","Pearson, C."],"authorGivenName":["Christina","Eiko","Massimo","Tomas","Janice","Rachel","E. 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The underlying meteorology was generated using the Weather Research and Forecasting (WRF) model version 4.4.2.\nThese model outputs were generated as part of the National Capability for UK Challenges (NC-UK) programme, funded by the UK Natural Environment Research Council (NERC), and the National Focal Centre (NFC) work on Mapping and Modelling Critical Loads and Critical Levels, funded by the UK Department for Environment, Food & Rural Affairs (Defra).","documentType":"GEMINI_DOCUMENT","familyName":["Hood","Nemitz","Vieno","Liska","Scheffler","Beck","Carnell","Tomlinson","Pearson"],"fullName":["Christina Hood","Hood, C.","Nemitz, E.","Vieno, M.","Liska, T.","Scheffler, J.","Beck, R.","Carnell, E.J.","Tomlinson, S.","Pearson, C."],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs"],"givenName":["Christina","Eiko","Massimo","Tomas","Janice","Rachel","E. J.","Samuel","Clare"],"grant":["NE/Y006208/1"],"identifier":"0675cc95-ea59-4633-a1f1-4bfe7159375a","incomingCitationCount":0,"keyword":["Modelling","Pollution","outdoor air pollution","modelling","United Kingdom","EMEP4UK"],"keywordsOther":["outdoor air pollution","modelling","United Kingdom","EMEP4UK"],"keywordsTheme":["Modelling","Pollution"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a grid resolution of about 3 km x 3 km were calculated using the EMEP4UK atmospheric chemistry transport model. The model was evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations. R was used to access the AURN dataset to evaluate the EMEP4UK model output.\n\nKey input data to the EMEP4UK model include:\n- anthropogenic emissions for the UK from the National Atmospheric Emissions Inventory;\n- anthropogenic emissions for the Republic of Ireland from MapEire;\n- anthropogenic emissions for Europe from the Centre for Emissions Inventories and Projections;\n- UK land surface data from the Land Cover Map 2015; and\n- European land cover data and other default EMEP model inputs from the EMEP repository.\n\nThe data were processed from the full EMEP4UK model output to a subset containing essential variables only. The netCDF Operators tools, version 5.3.3, were used to subset the model output.","locations":["POLYGON((-11 49.5, -11 61.2, 2.9 61.2, 2.9 49.5, -11 49.5))"],"metadataDate":"2026-06-29T18:01:26.000Z","orcid":["https://orcid.org/0000-0001-9244-5696","https://orcid.org/0000-0002-1765-6298","https://orcid.org/0000-0001-7741-9377","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-7398-4237","https://orcid.org/0009-0005-9645-8001","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-3274-1586"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0675cc95-ea59-4633-a1f1-4bfe7159375a","10.5285/0675cc95-ea59-4633-a1f1-4bfe7159375a","doi:10.5285/0675cc95-ea59-4633-a1f1-4bfe7159375a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes gridded daily averaged atmospheric composition for the UK for key air pollutants nitrogen, sulphur, particulates and ozone for the years 2000, 2015 and 2022. The dataset was generated with the European Monitoring and Evaluation Programme for the…","state":"published","title":"European Monitoring and Evaluation Programme Model for the UK (EMEP4UK) daily atmospheric composition and fluxes for 2000, 2015 and 2022","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","elsdhi"]},{"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":["University of Aberdeen","Cranfield University"],"authorFamilyName":["Haro Monteagudo","Momblanch Benavent"],"authorFullName":["Haro Monteagudo, D.","Momblanch Benavent, A."],"authorGivenName":["David","A."],"authorOrcid":["https://orcid.org/0000-0002-7885-8248","https://orcid.org/0000-0003-3165-4691"],"authorRor":["https://ror.org/016476m91","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","TIFF","Comma-separated values (CSV)","Plain text"],"description":"This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater, land cover, crop coefficients population and GDP, and water demands for irrigation, livestock, industry, and domestic sectors.\n\nCWatM is a distributed hydrological model simulating the water cycle at global and local levels maintained by IIASA BNR Water Security group. The model was used to assess water supply and demand, and environmental needs, including water management and human influence within the water cycle in the Ebro River basin.\n","documentType":"GEMINI_DOCUMENT","familyName":["Haro Monteagudo","Momblanch Benavent","Haro  Monteagudo"],"fullName":["Haro Monteagudo, D.","Momblanch Benavent, A.","Haro  Monteagudo, D."],"funder":["Natural Environment Research Council"],"givenName":["David","A."],"grant":["NE/W004550/1"],"identifier":"468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","incomingCitationCount":0,"keyword":["Spain","Ebro","Hydrology","Modelling","CWatM","distributed model","water management"],"keywordsOther":["CWatM","distributed model","water management"],"keywordsPlace":["Spain","Ebro"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The input data came from a variety of sources. Elevation and land cover data and flow direction maps came from Copernicus. The river routing data came from European Digital Elevation Model (v1.1). Lakes and reservoir data were obtained from the HydroLakes database. Soil hydraulic properties were from Dai et al., (2019). Groundwater data were from Global Hydrogeology MaPS (GLHYMPS). Crop co-efficients were from MIRCA2000. Data relating to water demand were from a range of published literature (e.g., KleinGoldewijk et al., 2017, Wriedt et al., 2009, Steinfeld et al., 2006, Gleick et al, 2009, Pastor et al., 2014). The specific details and sources of the input data are explained in more detail in the Readme.docx file included in this dataset.\n\nAll the datasets were projected and cropped for the area of study and resampled to a 1x1 km2 grid prior to running the model.\n\nThis CWatM model of the Ebro basin was developed by Dr David Haro Monteagudo from the University of Aberdeen in collaboration with Dr Andrea Momblanch Benavent from Cranfield University and the technical assistance of Dr Mikhail Smilovic and Dr Peter Burek from IIASA (Austria).\n","locations":["POLYGON((-4.46 40.54, -4.46 43.15, 2.46 43.15, 2.46 40.54, -4.46 40.54))"],"metadataDate":"2026-06-29T18:11:26.000Z","orcid":["https://orcid.org/0000-0002-7885-8248","https://orcid.org/0000-0003-3165-4691"],"organisation":["University of Aberdeen","Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","10.5285/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18","doi:10.5285/468d6fd5-e14b-4eb1-be9f-76f56c4a2d18"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/016476m91","https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the input data and settings needed to run a Community Water Model (CWatM) of the Ebro River basin in Spain. The input data include: an elevation model of the catchment, flow direction map, river routing, lakes and reservoirs, soils, groundwater,…","state":"published","title":"Input data and settings for running a Community Water Model (CWatM) of the Ebro River basin, Spain, 1990-2012","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Freshwater Biological Association"],"authorFamilyName":["Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent","Feuchtmayr"],"authorFullName":["Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.J.","Feuchtmayr, H."],"authorGivenName":["S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C.J.","H."],"authorOrcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly or fortnightly sampling at the North Basin of Windermere in Cumbria, England.  Monitoring began in 1945 for some variables. The data comprise surface temperature, surface oxygen saturation, Secchi depth, alkalinity, ammonium, nitrate, soluble reactive phosphate, total phosphorus, dissolved reactive silicon and phytoplankton chlorophyll a. \n\nWater samples are based on a sample integrated from 0 to 5 m (1945-1962), 0 to 10 m (1962-1964) and 0 to 7 m (1964 onwards). Measurements are made from a boat at a marked location at the deepest part of the lake. \n\nAll data are from February 1945 until the end of 2013 and were initially collected by the Freshwater Biological Association but have been collected by the Centre for Ecology & Hydrology (CEH) and its predecessor Institute of Freshwater Ecology since 1989. ","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Maberly","Brierley","Carter","Clarke","De Ville","Fletcher","James","Keenan","Kelly","Mackay","Parker","Patel","Pereira","Rhodes","Tanna","Thackeray","Vincent"],"fullName":["Feuchtmayr, H.","Maberly, S.C.","Brierley, B.","Carter, H.T.","Clarke, M.A.","De Ville, M.M.","Fletcher, J.M.","James, J.B.","Keenan, P.","Kelly, J.L.","Mackay, E.B.","Parker, J.E.","Patel, M.","Pereira, M.G.","Rhodes, G.","Tanna, B.","Thackeray, S.J.","Vincent, C.J."],"givenName":["Heidrun","S.C.","B.","H.T.","M.A.","M.M.","J.M.","J.B.","P.","J.L.","E.B.","J.E.","M.","M.G.","G.","S.J.","C.J.","H."],"identifier":"f385b60a-2a6b-432e-aadd-a9690415a0ca","incomingCitationCount":0,"keyword":["Lake District","Lake Windermere","Environmental survey","Water quality"],"keywordsPlace":["Lake District","Lake Windermere"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Non-Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from February 1945 until the end of 2013.  Samples were analysed in Freshwater Biological Association/Centre for Ecology & Hydrology laboratories.","locations":["POLYGON((-2.985 54.367, -2.985 54.425, -2.898 54.425, -2.898 54.367, -2.985 54.367))"],"metadataDate":"2026-06-27T15:15:15.000Z","orcid":["https://orcid.org/0000-0003-3541-5903","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0002-8788-8449","https://orcid.org/0000-0001-5697-7062","https://orcid.org/0000-0003-0488-3843","https://orcid.org/0000-0003-3274-2706","https://orcid.org/0000-0002-2028-4843"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Freshwater Biological Association","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-04-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f385b60a-2a6b-432e-aadd-a9690415a0ca","10.5285/f385b60a-2a6b-432e-aadd-a9690415a0ca","doi:10.5285/f385b60a-2a6b-432e-aadd-a9690415a0ca"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from weekly or fortnightly sampling at the North Basin of Windermere in Cumbria, England.  Monitoring began in 1945 for some…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin, 1945 to 2013","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Glasgow","University of Liverpool","Brunel University of London"],"authorFamilyName":["Quick","Boothroyd","Williams","Hoey","Tolentino"],"authorFullName":["Quick, L.","Boothroyd, R.","Williams, R.","Hoey, T.B.","Tolentino, P.L."],"authorGivenName":["L.","R.","T.B.","P.L."],"authorOrcid":["https://orcid.org/0000-0003-2725-4767","https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-1803-9734"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/04xs57h96","https://ror.org/00dn4t376"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"For the Bislak River, the Philippines,  this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity and shear stress from HEC-RAS two-dimensional hydraulic model simulations for 10, 50 and 100 year return period flood scenarios; and (iv) calculated bedload transport for 10, 50 and 100 year return period flood scenarios.\n\nShear stress predictions were combined with median (D50) grain size observations to compute bedload transport rates for four different river patterns (meandering, wandering, braided, deltaic). For the 50 year return period flood event, bedload transport rates were also calculated for the D16 and D84 grain size. Geomorphic change detection was used to identify geomorphic change which took place between 2014-2019 and 2019-2020. All geospatial data are in WGS 1984 UTM Zone 51N.\n\nThis data was created as part of a numerical, two-dimensional hydraulic modelling investigation to predict patterns of flood inundation and bedload transport for the Bislak River Philippines under different flood scenarios (10-, 50- 100-year flood events).","documentType":"GEMINI_DOCUMENT","familyName":["Williams","Quick","Boothroyd","Hoey","Tolentino"],"fullName":["Williams, R.","Quick, L.","Boothroyd, R.","Hoey, T.B.","Tolentino, P.L."],"funder":["Natural Environment Research Council","Philippine Council for Industry, Energy and Emerging Technology Research and Development"],"givenName":["R.","L.","T.B.","P.L."],"grant":["NE/S003312","EP/X527749/1"],"identifier":"5b29d98e-28b6-4ca7-89b3-57174d6b404a","incomingCitationCount":0,"keyword":["Hydrology","sediment transport","geomorphic change","flood","flood inundation"],"keywordsOther":["sediment transport","geomorphic change","flood","flood inundation"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"An initial airborne LiDAR topographic survey of the Bislak River was completed in 2014, as reported by Rubio-Paringit and Parangit (2015). Subsequent airborne LiDAR topographic surveys were commissioned in 2019 and 2020 to provide repeat datasets. The Bislak DEMs were formed from a fusion of topographic data collected from different survey techniques (e.g. LiDAR, echo sounding and spectrally based depth mapping). HEC-RAS 2D software was used to predict inundation patterns (depth, velocity, shear stress). \n\nBislak River Bedload transport rate predictions were generated using the shear stress rasters exported from HEC-RAS. Shear stress rasters were split into river morphology types (meandering, wandering, braided, deltaic). ","locations":["POLYGON((120.56 18.21, 120.56 18.34, 120.76 18.34, 120.76 18.21, 120.56 18.21))"],"metadataDate":"2026-06-29T18:24:49.000Z","orcid":["https://orcid.org/0000-0001-6067-1947","https://orcid.org/0000-0003-2725-4767","https://orcid.org/0000-0001-9742-4229","https://orcid.org/0000-0003-0734-6218","https://orcid.org/0000-0002-1803-9734"],"organisation":["University of Glasgow","University of Liverpool","Brunel University of London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-07-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5b29d98e-28b6-4ca7-89b3-57174d6b404a","10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a","doi:10.5285/5b29d98e-28b6-4ca7-89b3-57174d6b404a"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/00vtgdb53","https://ror.org/04xs57h96","https://ror.org/00dn4t376","https://ror.org/04xw4m193"],"shortenedDescription":"For the Bislak River, the Philippines,  this dataset contains: (i) topography and orthoimagery in 2019 and 2020; (ii) Digital Elevation Models (DEMs) of Difference; (iii) predicted depth, velocity and shear stress from HEC-RAS two-dimensional hydraulic model simulations…","state":"published","supplementalDescription":["Rubio-Paringit, M.C., and Paringit, E.C. (2015). Vertical Datum Unification in the Philippines from Analysis of Tide Stations. International Journal of Geomatics and Geosciences, 1464-1473"],"title":"Topography, orthoimagery, topographic change, predicted hydraulic flow, and bedload transport rates of the Bislak River, the Philippines","topic":["0/Hydrology/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University College London","An-Najah National University","Global Earthquake Model (GEM) Foundation","People in Need","National Society for Earthquake Technology","Chittagong University of Engineering and Technology","Chittagong University of Engineering & Technology","Lund University","Boğaziçi University","Ardhi University"],"authorFamilyName":["Cremen","Gentile","Dabeek","Aljawhari","Manandhar","Rawal","Nocera","Rana","Zisan","Leandro","Çaktı","Kombe"],"authorFullName":["Cremen, G.","Gentile, R.","Dabeek, J.","Aljawhari, K.","Manandhar, V.","Rawal, P.","Nocera, F.","Rana, S.","Zisan, B.","Leandro, I.","Çaktı, E.","Kombe, W."],"authorGivenName":["G.","r.","J.","K","V.","P.","F","S.","B.","I.","E.","W."],"authorOrcid":["https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-8369-4105","https://orcid.org/0000-0003-4891-8702","https://orcid.org/0000-0001-8274-1416","https://orcid.org/0000-0001-7940-8014","https://orcid.org/0000-0002-3383-7662","https://orcid.org/0000-0002-5343-9215","https://orcid.org/0000-0002-6959-0235","https://orcid.org/0000-0002-1946-3940","https://orcid.org/0000-0003-1381-1833","https://orcid.org/0000-0001-9117-9496"],"authorRor":["https://ror.org/02jx3x895","https://ror.org/0046mja08","https://ror.org/02xh1tf34","https://ror.org/058m30p27","https://ror.org/052qsay17","https://ror.org/012a77v79","https://ror.org/03z9tma90","https://ror.org/05k903r09"],"availability":"Available","catalogue":"eidc","dataFormat":["GeoJSON","Comma-separated values (CSV)"],"description":"This dataset comprises spatially explicit risk analysis outputs for 10 study areas, representing potential disaster impacts across various future urban development scenarios, that are created by different community groups within each study area. Study areas include Istanbul (Türkiye), Nablus (Palestine), Chattogram (Bangladesh), Cox's Bazaar (Bangladesh), Nairobi (Kenya), Nakuru (Kenya), Quito (Ecuador), Kokhana (Nepal), Rapti (Nepal) and Darussalam (Tanzania). The data quantify the physical, social, and economic risks resulting from seismic activity or floods or landslides interacting with projected land-use plans and building typologies.\n\nKey components of the dataset include attributes on damage states for each building and eight metrics related to socio-demographic characteristics: \n-\tNumber of workers unemployed,  \n-\tNumber of children with no Access to education\n-\tNumber of households with no Access to hospital\n-\tNumber of individuals with no Access to hospital\n-\tNumber of households displaced\n-\tNumber of homeless individuals\n-\tPopulation displacement\n-\tNumber of casualties\n\nDetails on the computation of each metric is provided in the readme file.\nThis dataset was created as case studies for the Tomorrows Cities: Tomorrowville virtual testbed. It is supported by NERC as part of the GCRF Urban Disaster Risk Hub (NE/S009000/1).","documentType":"GEMINI_DOCUMENT","familyName":["Cremen","Gentile","Dabeek","Aljawhari","Manandhar","Rawal","Nocera","Rana","Zisan","Leandro","Çaktı","Kombe"],"fullName":["Cremen, G.","Gentile, R.","Dabeek, J.","Aljawhari, K.","Manandhar, V.","Rawal, P.","Nocera, F.","Rana, S.","Zisan, B.","Leandro, I.","Çaktı, E.","Kombe, W."],"funder":["Natural Environment Research Council"],"givenName":["G.","r.","J.","K","V.","P.","F","S.","B.","I.","E.","W."],"grant":["NE/S009000/1"],"identifier":"30a025cc-4482-48a0-a0f9-9f5b71d7ef83","incomingCitationCount":0,"keyword":["Modelling","disaster","risk","loss","environmental impact","hazard","urbanisation","GCRF Urban Disaster Risk Hub","Tomorrow's Cities"],"keywordsOther":["disaster","risk","loss","environmental impact","hazard","urbanisation","GCRF Urban Disaster Risk Hub","Tomorrow's Cities"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The dataset was generated using the Tomorrow's Cities Decision Support Environment (TCDSE) workflow, designed to assess disaster risks in future urban planning scenarios. The process involved the integration of three primary components:\n1. Hazard Models: Physics-based simulations or probabilistic models for relevant hazards (e.g., earthquakes, floods, landslides) specific to the project location.\n2. Future Exposure Scenarios: Spatially explicit projections of future urban growth, land use, and building typologies, co-developed with local stakeholders and planning authorities.\n3. Vulnerability Functions: Engineering-based curves defining the susceptibility of proposed infrastructure to specific hazard intensities.\nThese components were processed through a computational risk engine (served under https://webapp.tomorrowscities.org) to calculate potential impacts (e.g., physical damage, displacement, economic loss) for various future development trajectories.\nQuality Assurance (QA) Steps:\n1. Input Validation: Hazard models and exposure data were validated by local domain experts and compared against historical baseline data where applicable.\n2. Internal Consistency Checks: The computational workflow underwent code reviews and unit testing to ensure data integrity during the integration of hazard and exposure layers.\n3. Output Verification: Preliminary risk results were reviewed in stakeholder workshops to ensure plausibility and alignment with local knowledge before finalization.","locations":["POLYGON((-82.26 -13.582, -82.26 44.214, 77.696 44.214, 77.696 -13.582, -82.26 -13.582))"],"metadataDate":"2026-06-29T18:14:16.000Z","orcid":["https://orcid.org/0000-0002-6699-7312","https://orcid.org/0000-0002-7682-4490","https://orcid.org/0000-0001-8369-4105","https://orcid.org/0000-0003-4891-8702","https://orcid.org/0000-0001-8274-1416","https://orcid.org/0000-0001-7940-8014","https://orcid.org/0000-0002-3383-7662","https://orcid.org/0000-0002-5343-9215","https://orcid.org/0000-0002-6959-0235","https://orcid.org/0000-0002-1946-3940","https://orcid.org/0000-0003-1381-1833","https://orcid.org/0000-0001-9117-9496"],"organisation":["University College London","An-Najah National University","Global Earthquake Model (GEM) Foundation","People in Need","National Society for Earthquake Technology","Chittagong University of Engineering and Technology","Chittagong University of Engineering & Technology","Lund University","Boğaziçi University","Ardhi University","NERC EDS Environmental Information Data Centre"," University of Edinburgh"],"publicationDate":"2026-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/30a025cc-4482-48a0-a0f9-9f5b71d7ef83","10.5285/30a025cc-4482-48a0-a0f9-9f5b71d7ef83","doi:10.5285/30a025cc-4482-48a0-a0f9-9f5b71d7ef83"],"resourceType":"Dataset","rightsHolder":[" University of Edinburgh"],"ror":["https://ror.org/02jx3x895","https://ror.org/0046mja08","https://ror.org/02xh1tf34","https://ror.org/058m30p27","https://ror.org/052qsay17","https://ror.org/012a77v79","https://ror.org/03z9tma90","https://ror.org/05k903r09","https://ror.org/04xw4m193","https://ror.org/01nrxwf90"],"shortenedDescription":"This dataset comprises spatially explicit risk analysis outputs for 10 study areas, representing potential disaster impacts across various future urban development scenarios, that are created by different community groups within each study area. Study areas include…","state":"published","supplementalDescription":["Cremen, G., Galasso, C., McCloskey, J., Barcena, A., Creed, M., Filippi, M. E., Gentile, R., Jenkins, L. T., Kalaycioglu, M., Mentese, E. Y., Muthusamy, M., Tarbali, K., & Trogrlić, R. Š. (2023). A state-of-the-art decision-support environment for risk-sensitive and pro-poor urban planning and design in Tomorrow's cities. International Journal of Disaster Risk Reduction, 85, 103400.","Cremen, G., Galasso, C., & McCloskey, J. (2022). A Simulation‐Based Framework for Earthquake Risk‐Informed and People‐Centered Decision Making on Future Urban Planning. Earth's Future, 10(1)."],"title":"Multi-hazard disaster impact analysis outputs from synthetic future urban scenarios in 10 cities","topic":["0/Modelling/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Strathclyde"],"authorFamilyName":["Wadkin-Snaith","Mulheran","Johnston"],"authorFullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"authorGivenName":["D.","P.","K."],"authorOrcid":["https://orcid.org/0000-0002-9469-8010","https://orcid.org/0000-0002-5817-3479"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII","Plain text"],"description":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher to replicate the molecular dynamics simulations. ","documentType":"GEMINI_DOCUMENT","familyName":["Wadkin-Snaith","Mulheran","Johnston"],"fullName":["Wadkin-Snaith, D.","Mulheran, P.","Johnston, K."],"funder":["Natural Environment Research Council"],"givenName":["D.","P.","K."],"grant":["NE/V010603/1"],"identifier":"25fc1140-07bf-424a-a32c-87dbba9c426a","incomingCitationCount":0,"keyword":["Modelling","Polymers","Surfaces","Molecular dynamics simulations"],"keywordsOther":["Polymers","Surfaces","Molecular dynamics simulations"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Input files were created by researchers. The model parameters were based on the well-known Kremer-Grest model and were modified to include an angle potential and some attractive non-bonded parameters as outlined in the publication: https://doi.org/10.1016/j.polymer.2023.126113\n","metadataDate":"2026-06-29T16:15:46.000Z","orcid":["https://orcid.org/0000-0002-9469-8010","https://orcid.org/0000-0002-5817-3479"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/25fc1140-07bf-424a-a32c-87dbba9c426a","10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a","doi:10.5285/25fc1140-07bf-424a-a32c-87dbba9c426a"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides input files for LAMMPS open access molecular dynamics software ( https://www.lammps.org/ ) and contains simulation details, force field parameters, and topology information for polymer crystallisation at a surface that will enable a researcher…","state":"published","supplementalName":["Filler-induced heterogeneous nucleation of polymer crystals investigated by molecular dynamics simulations"],"title":"Simulation details, force field parameters, and topology information for use in LAMMPS software for molecular dynamics simulations of polymer crystallisation at a surface","topic":["0/Modelling/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Bristol","Fathom Global"],"authorFamilyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"authorFullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"authorGivenName":["G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"authorOrcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"authorRor":["https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall and CHESS-PE potential evapotranspiration).  The modelled catchments correspond to locations of National River Flow Archive (NRFA) gauging stations and provide good spatial coverage across the UK.\n\nThe dataset was produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity) to provide national scale probabilistic flow simulations and predictions for UK drought risk analysis.  MaRIUS was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","familyName":["Coxon","Freer","Lane","Dunne","Knoben","Howden","Quinn","Wagener","Woods"],"fullName":["Coxon, G.","Freer, J.","Lane, R.","Dunne, T.","Knoben, W.J.M.","Howden, N.J.K.","Quinn, N.","Wagener, T.","Woods, R."],"funder":["Natural Environment Research Council"],"givenName":["Gemma","G.","J.","R.","T.","W.J.M.","N.J.K.","N."],"grant":["NE/L010399/1"],"identifier":"d770b12a-3824-4e40-8da1-930cf9470858","incomingCitationCount":1,"keyword":["Great Britain","MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)","Hydrology","Modelling","DECIPHeR","Uncertainty","flow","drought","river"],"keywordsOther":["DECIPHeR","Uncertainty","flow","drought","river"],"keywordsPlace":["Great Britain"],"keywordsProject":["MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity)"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The modelled flow data are output from the DECIPHeR hydrological model (Coxon et al, 2019; https://doi.org/10.5194/gmd-12-2285-2019).   The meteorological inputs to the model were rainfall from CEH-GEAR (Tanguy et al. 2016; https://doi.org10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca) and CHESS-PE (Robinson et al, 2016; https://doi.org/10.5285/8baf805d-39ce-4dac-b224-c926ada353b7).\n\nDECIPHeR (V1) was run from 1961-2015 using 100,000 monte carlo model parameter sets.  Model performance was evaluated over a 54 year timeseries (1962-2015) using a multi-objective approach comprising four evaluation metrics.  The evaluation metrics were chosen to quantify the model’s ability to capture a range of hydrologic behaviour including maintaining overall water balance, capturing flow variability, reproducing low and high flows and the timing of flows.  \n\nThe top ‘multi-objective’ scoring 100 model simulations for each of the 1,366 gauges are supplied as daily river flow timeseries.  Metadata comprising the model parameters and performance for the 100 ensemble members is also supplied to allow the user to interrogate the performance of the model and assist in the interpretation of the results.\n\nSee supporting information document for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:17:30.000Z","orcid":["https://orcid.org/0000-0002-8837-460X","https://orcid.org/0000-0002-5732-5979"],"organisation":["University of Bristol","Fathom Global","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-08-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d770b12a-3824-4e40-8da1-930cf9470858","10.5285/d770b12a-3824-4e40-8da1-930cf9470858","doi:10.5285/d770b12a-3824-4e40-8da1-930cf9470858"],"resourceType":"Dataset","ror":["https://ror.org/0524sp257","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides 100 model realisations of daily river flow in cubic metres per second (m3/s) for 1,366 catchments, for the period 1962 to 2015.  The dataset is model output from the DECIPHeR hydrological model driven by observed climate data (CEH-GEAR rainfall…","state":"published","supplementalDescription":["Model code"],"supplementalName":["National River Flow Archive (NRFA)","MaRIUS: Managing the Risks, Impacts and Uncertainties of drought and water Scarcity","DECIPHeR: DECIPHeR V1"],"title":"DECIPHeR model estimates of daily flow for 1366 gauged catchments in Great Britain (1962-2015) using observed driving data","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"altTitle":["IHU Sections"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Kral","Fry","Dixon"],"authorFullName":["Kral, F.","Fry, M.","Dixon, H."],"authorGivenName":["F.","M.","H."],"authorOrcid":["https://orcid.org/0000-0002-7415-063X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"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. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Sections are spatially consistent with Groups: each Group is made up of one or more Section. Each Section is associated with one Catchment representing the full area upstream from the Section outlet. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer 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":["Kral","Fry","Dixon"],"fullName":["Kral, F.","Fry, M.","Dixon, H."],"givenName":["F.","M.","H."],"identifier":"a6e37e39-9e10-4647-a110-12d902403095","incomingCitationCount":0,"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[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":"2026-06-27T19:53:45.000Z","orcid":["https://orcid.org/0000-0002-7415-063X"],"organisation":["UK Centre for Ecology & Hydrology","National River Flow Archive","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-02-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1425380883797","CEH:EIDC::1425380883797","https://catalogue.ceh.ac.uk/id/a6e37e39-9e10-4647-a110-12d902403095","10.5285/a6e37e39-9e10-4647-a110-12d902403095","doi:10.5285/a6e37e39-9e10-4647-a110-12d902403095"],"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. A Section is the drainage area of a watercourse between two confluences.…","state":"published","supplementalDescription":["The National River Flow Archive (NRFA) holds a wide range of hydrological information to assist in the understanding and interpretation of river flows. In addition to time series of gauged river flow, NRFA maintains hydrometric information relating to the gauging stations and the catchments they command and data quantifying other parts of the hydrological cycle."],"title":"Integrated Hydrological Units of the United Kingdom: Sections","topic":["0/Hydrology/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","JSHU","MOD","Darwin Initiative"],"authorFamilyName":["Bowes","Scarlett","Trill","Nicholls","Armstrong","Philippou","Georgiou","Peyton","Taylor","Pescott","Young"],"authorFullName":["Bowes, M.","Scarlett, P.","Trill, E.","Nicholls, D.","Armstrong, L.","Philippou, M.","Georgiou, M.","Peyton, J.","Taylor, C.","Pescott, O.L.","Young, E."],"authorGivenName":["M.","P.","E.","D.","L.","J.","C.","O.L."],"authorOrcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-8313-6194","https://orcid.org/0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise water chemistry (analysis included phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate) in water samples taken at Lake Akrotiri, Cyprus, and its main inputs between July 2019 and November 2020. The eight monitoring sites included marginal samples from around the lake and also samples of the input canals that drained the surrounding marshes and a drainage pipe.","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Scarlett","Trill","Nicholls","Armstrong","Philippou","Georgiou","Peyton","Taylor","Pescott","Young"],"fullName":["Bowes, M.","Scarlett, P.","Trill, E.","Nicholls, D.","Armstrong, L.","Philippou, M.","Georgiou, M.","Peyton, J.","Taylor, C.","Pescott, O.L.","Young, E."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["M.","P.","E.","D.","L.","J.","C.","O.L.","Peter"],"identifier":"0de897cd-3aa3-45a3-8bff-3bff62c01f30","incomingCitationCount":0,"keyword":["Cyprus","Lake Akrotiri","Hydrology","Water quality"],"keywordsPlace":["Cyprus","Lake Akrotiri"],"keywordsTheme":["Hydrology","Water quality"],"licence":"Open government licence","lineage":"In July 2019 the field measurements were taken by UKCEH using a MYRON L Ultrameter II and a YSI DSS pro. Subsequent samples were taken by staff of the Joint Services Health Unit (JSHU) using a YSI DSS pro.\n\nField samples were filtered immediately through a 0.45 μm Whatman WCN membrane filter. These were analysed in laboratories at UKCEH Wallingford for phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate. Some values are missing due to equipment failure, the different types of probe used to take field samples or because a sample could not be taken due to access.\n\nThe samples were taken by experienced field surveyors and the data was checked for anomalous values. All analysis (with the exception of suspended solids) was carried out alongside reference Aquacheck QC standards (LGC Standards, Teddington, UK).\n\nThe samples were taken as part of the Darwin Initiative Plus project, which seeks to monitor and understand drivers of change in the Akrotiri wetlands.","locations":["POLYGON((32.871 34.557, 32.871 34.685, 33.07 34.685, 33.07 34.557, 32.871 34.557))"],"metadataDate":"2026-06-29T16:30:37.000Z","orcid":["https://orcid.org/0000-0002-0673-1934","https://orcid.org/0000-0002-8313-6194","https://orcid.org/0000-0002-0685-8046"],"organisation":["UK Centre for Ecology & Hydrology","JSHU","MOD","Darwin Initiative","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-06-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0de897cd-3aa3-45a3-8bff-3bff62c01f30","10.5285/0de897cd-3aa3-45a3-8bff-3bff62c01f30","doi:10.5285/0de897cd-3aa3-45a3-8bff-3bff62c01f30"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise water chemistry (analysis included phosphorus and nitrogen species, dissolved reactive silicon, suspended solids, chlorophyll, fluoride, chloride, and sulphate) in water samples taken at Lake Akrotiri, Cyprus, and its main inputs between July 2019 and…","state":"published","supplementalName":["Dawin initiative website"],"title":"Water chemistry data from Lake Akrotiri, Cyprus, and its main inputs, July 2019 - November 2020","topic":["0/Hydrology/","0/Water quality/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of Exeter","UK Centre for Ecology & Hydrology","Met Office","APEM Ltd","Wallingford HydroSolutions","Agricultural University of Athens"],"authorFamilyName":["Bachiller-Jareno","Keller","Eastman","Edwards","Jürgens","Scarlett","Rizzo","Antoniou","Dean","Sadykova","Qu","Johnson"],"authorFullName":["Bachiller-Jareno, N.","Keller, V.D.J.","Eastman, M.","Edwards, F.K.","Jürgens, M.D.","Scarlett, P.M.","Rizzo, C.","Antoniou, V.","Dean, H.J.","Sadykova, D.","Qu, Y.","Johnson, A.C."],"authorGivenName":["N.","V.D.J.","M.","F.K.","M.D.","P.M.","C.","V.","H.J.","D.","Y.","A.C."],"authorOrcid":["https://orcid.org/0000-0001-9732-6725","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0002-8212-5872","https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0002-3930-5974","https://orcid.org/0000-0002-3742-8233","https://orcid.org/0000-0003-1570-3764"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/01ch2yn61","https://ror.org/03xawq568"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data product combines macroinvertebrate taxonomic abundance for 1,519 monitoring sites across English rivers for the period between 1965 and 2018, with matched concentrations of 41 water quality determinands, river flow exceedance statistics, and air temperature values. It also includes site variables such as sewage effluent exposure, habitat quality, land cover in the upstream catchment, and other physical parameters measured at the sampling point, such as altitude, slope, distance from source, width and depth of the channel, and type of substrate.\n\nDeveloped as part of the ChemPop (2018-2023), a NERC-funded project investigating the impact of chemical exposure on wildlife populations in rivers, this research output is an open data product for use in a broad spectrum of environmental data and modelling analyses.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bachiller-Jareno","Keller","Eastman","Edwards","Jürgens","Scarlett","Rizzo","Antoniou","Dean","Sadykova","Qu","Johnson"],"fullName":["Bachiller-Jareno, N.","Keller, V.D.J.","Eastman, M.","Edwards, F.K.","Jürgens, M.D.","Scarlett, P.M.","Rizzo, C.","Antoniou, V.","Dean, H.J.","Sadykova, D.","Qu, Y.","Johnson, A.C."],"funder":["Natural Environment Research Council"],"givenName":["N.","V.D.J.","M.","F.K.","M.D.","P.M.","C.","V.","H.J.","D.","Y.","A.C."],"grant":["NE/S000100/1"],"identifier":"23f194b0-1e21-4f14-be9c-6eabdcc1feb7","incomingCitationCount":0,"keyword":["England","Biodiversity","Water quality","rivers","freshwater","water quality","chemical pollution","macroinvertebrates"],"keywordsOther":["rivers","freshwater","water quality","chemical pollution","macroinvertebrates"],"keywordsPlace":["England"],"keywordsTheme":["Biodiversity","Water quality"],"licence":"Open government licence","lineage":"This data product was created by preprocessing and combining survey data of national extent collected by the Environment Agency (EA), such as freshwater macroinvertebrate survey data, water quality data, habitat quality metrics, and river flow; as well as datasets produced by UKCEH, such as the Land Cover Map 2015, CHESS-met air temperature, and estimated sewage effluent exposure.\n\nThe spatial distribution of this product matches the spatial extent of the macroinvertebrate data. Its time stamps correspond to the dates of macroinvertebrate sampling. The completeness of this product is determined by the spatio-temporal availability of the data sources.\n\nDue to the different structures and file formats of the data sources, as well as the varied range of technical skills within our team, a range of file manipulation tools were used. However, the same data processing and data integration methodology was followed in all instances. This involved three steps: first, spatial matching of sampled locations along the river network; second, spatial integration of model-generated variables, including wastewater effluent, land cover, and air temperature; and third, temporal matching of environmental observations, such as water quality concentrations and river flow, along with modelled variables such as air temperature.\n","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T16:02:32.000Z","orcid":["https://orcid.org/0000-0001-9732-6725","https://orcid.org/0000-0003-4489-5363","https://orcid.org/0000-0002-8212-5872","https://orcid.org/0000-0001-9875-6663","https://orcid.org/0000-0002-6526-589X","https://orcid.org/0000-0001-6242-8158","https://orcid.org/0000-0001-6011-4075","https://orcid.org/0000-0002-9602-7202","https://orcid.org/0000-0002-3930-5974","https://orcid.org/0000-0002-3742-8233","https://orcid.org/0000-0003-1570-3764"],"organisation":["University of Exeter","UK Centre for Ecology & Hydrology","Met Office","APEM Ltd","Wallingford HydroSolutions","Agricultural University of Athens","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/23f194b0-1e21-4f14-be9c-6eabdcc1feb7","10.5285/23f194b0-1e21-4f14-be9c-6eabdcc1feb7","doi:10.5285/23f194b0-1e21-4f14-be9c-6eabdcc1feb7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/03yghzc09","https://ror.org/00pggkr55","https://ror.org/01ch2yn61","https://ror.org/03xawq568","https://ror.org/04xw4m193"],"shortenedDescription":"This data product combines macroinvertebrate taxonomic abundance for 1,519 monitoring sites across English rivers for the period between 1965 and 2018, with matched concentrations of 41 water quality determinands, river flow exceedance statistics, and air temperature…","state":"published","title":"Macroinvertebrate taxonomic abundance, water quality, river flow, air temperature and environmental site descriptors from English rivers, 1965-2018, version 2.0","topic":["0/Biodiversity/","0/Water quality/"],"version":2.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Polytechnic University/CERNAS","University of Évora","Center for Climate and Resilience Research","University of Parakou","Swedish Meteorological and Hydrological Institute ","University of Tokyo","Gdansk University of Technology","Gaston Berger University","Badji Mokhtar - 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The model is evaluated using the UK Automatic Urban and Rural Network (AURN) monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn). R was used to access the AURN dataset to evaluate the EMEP4UK model output.\nThe data are processed from the full EMEP4UK model output to a subset containing essential variables only. The Climate Data Operators version 1.9.10 was used to subset the model output.\n\nYour use of the content of this dataset is entirely at your own risk. 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It provides annual averages of vegetation specific atmospheric deposition of…","state":"published","supplementalDescription":["Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Liu, Z., Berner, J., Wang, W., Powers, J.G., Duda, M.G., Barker, D.M., & Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4. UCAR/NCAR.","National Centers For Environmental Prediction/National Weather Service/NOAA/U.S. Department Of Commerce. (2000). NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999 [Data set]. UCAR/NCAR - Research Data Archive."],"supplementalName":["The EU EMEP emissions center ","The UK National Atmospheric Emissions Inventory ","The Republic of Ireland national emissions inventory "],"title":" European Monitoring and Evaluation Program Model for the UK (EMEP4UK) annual vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen for 2018","topic":["0/Pollution/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=5&facet=topic%7C(0/Water%20quality/%20OR%200/Modelling/%20OR%200/Hydrology/)"}