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The data are provided in gridded netCDF files. There is one file for each ensemble member and separate files for Great Britain and Northern Ireland.\n\nTo aid interpretation, two additional spatial datasets are provided: 1km x 1km grids identifying majority lake cells for (a) Great Britain, and (b) Northern Ireland. \n\nThe data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.","documentType":"GEMINI_DOCUMENT","familyName":["Kay","Rudd","Davies","Lane","Bell"],"fullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"grant":["NE/R016429/1"],"identifier":"f7142ced-f6ff-486b-af33-44fb8f763cde","incomingCitationCount":2,"keyword":["Great Britain","Northern Ireland","UK-SCAPE","Climate and climate change","Modelling","Hydrology","Grid-to-Grid","G2G","soil moisture"],"keywordsOther":["Grid-to-Grid","G2G","soil moisture"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Climate and climate change","Modelling","Hydrology"],"licence":"Open government licence","lineage":"This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031) driven by meteorological data derived from the United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections (Met Office Hadley Centre 2018, catalogue.ceda.ac.uk/uuid/589211abeb844070a95d061c8cc7f604). The projections comprise a 12-member perturbed parameter ensemble (PPE) of the Met Office Hadley Centre Regional Climate Model (RCM) under representative concentration pathway (RCP) scenario RCP8.5. The meteorological variables used were daily precipitation, daily min and max temperature, and daily PE (Potential evaporation) derived from other meteorological variables (using the Penman-Monteith scheme). See Supporting Information for more details.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T16:33:45.000Z","orcid":["https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-4176-9214","https://orcid.org/0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7142ced-f6ff-486b-af33-44fb8f763cde","10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde","doi:10.5285/f7142ced-f6ff-486b-af33-44fb8f763cde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model soil moisture estimates on a 1km grid over Great Britain and Northern Ireland for the period Dec 1980 - Nov 2080 (units: m water/m soil), driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080). The data are provided…","state":"published","supplementalDescription":["V.A. Bell, A.L. Kay, R.G. Jones, R.J. Moore, N.S. Reynard, Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK, Journal of Hydrology, Volume 377, Issues 3–4, 2009, Pages 335-350, ISSN 0022-1694","Dataset used for driving data"],"supplementalName":["United Kingdom Climate Projections 2018 (UKCP18) Regional (12km) projections"],"title":"Grid-to-Grid model estimates of soil moisture for Great Britain and Northern Ireland driven by UK Climate Projections 2018 (UKCP18) Regional (12km) data (1980 to 2080)","topic":["0/Climate and climate change/","0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Henrys","Rowe","McNamara"],"authorFullName":["Keith, A.M.","Henrys, P.A.","Rowe, R.L.","McNamara, N.P."],"authorGivenName":["A.M.","P.A.","R.L.","N.P."],"authorOrcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-7554-821X","https://orcid.org/0000-0002-5143-5819"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["R model"],"description":"This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare and test for significant differences in potentially non-linear depth profiles of soil properties across land use transitions, which does not need to meet any parametric distribution assumptions, and is intended to be generally applicable regardless of specific contexts of land use and soil type. A small dataset is provided with the code to demonstrate the BLR approach and its outputs. The code was written using the R statistical programming language and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Henrys","Rowe","McNamara"],"fullName":["Keith, A.","Keith, A.M.","Henrys, P.A.","Rowe, R.L.","McNamara, N.P."],"givenName":["Aidan","A.M.","P.A.","R.L.","N.P."],"identifier":"d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","incomingCitationCount":1,"keyword":["Soil","Modelling","loess","soil","model","R code","local regression"],"keywordsOther":["loess","soil","model","R code","local regression"],"keywordsTheme":["Soil","Modelling"],"licence":"Open government licence","lineage":"The code was written using the R statistical programming language at CEH Lancaster, and provides two examples of the BLR approach. This application was created by the Centre for Ecology & Hydrology at Lancaster in 2015 during the ELUM (Ecosystem Land Use Modelling & Soil Carbon GHG Flux Trial) project, which was commissioned and funded by the Energy Technologies Institute (ETI).","metadataDate":"2026-06-27T15:19:45.000Z","orcid":["https://orcid.org/0000-0001-9619-1320","https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0002-7554-821X","https://orcid.org/0000-0002-5143-5819"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-10-19T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478","doi:10.5285/d4f92cd8-43e8-49e4-8f9e-efcc0e3b2478"],"resourceType":"Software","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is an application providing code for the non-parametric comparison of soil depth profiles, and testing for significant differences between soil depth profiles, using bootstrapped Loess (local) regressions (BLR). The BLR approach was developed to be able to compare…","state":"published","title":"Bootstrapped local regression (LOESS) for soil depth profile comparison","topic":["0/Soil/","0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["tar.gz"],"description":"This dataset contains remapped driving data for a rectangular domain covering Kenya for 2000-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files.\n","documentType":"GEMINI_DOCUMENT","familyName":["Marthews"],"fullName":["Toby Richard Marthews","Marthews, T.R."],"funder":["Natural Environment Research Council"],"givenName":["Toby","Toby Richard"],"grant":["NE/X006247/1"],"identifier":"b4987cff-1060-489c-948f-4c6885a93e4d","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","climate","model","forecast"],"keywordsOther":["climate","model","forecast"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The source data are from the ISIMIP project, specifically ISIMIP3b bias-adjusted climate input data (Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b); info@isimip.org https://www.isimip.org ) (Gosling et al. 2025). For details of bias correction applied in ISIMIP datasets, please see https://www.isimip.org/gettingstarted/isimip3b-bias-correction/ .\n\nISIMIP data are available globally, but only at 0.5°x0.5°C global grid resolution (approx. 50 km resolution at the Equator), when most land surface modelling simulations require higher resolution. Therefore, using a bespoke (R) script written by Dr Toby Marthews, these data were regridded to 1 km resolution across the specified domain. In the interests of parsimony, no downscaling of these data was undertaken: this was a direct regridding process (a 'conservative remapping').\n\nBecause of file size limitations, carrying out this regridding step is often impossible at research institutions, therefore we provide these model-ready files in order to make these driving data more useful to a wider community.","locations":["POLYGON((33.75 -4.75, 33.75 5.5, 42 5.5, 42 -4.75, 33.75 -4.75))"],"metadataDate":"2026-06-29T16:24:40.000Z","orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4987cff-1060-489c-948f-4c6885a93e4d","10.5285/b4987cff-1060-489c-948f-4c6885a93e4d","doi:10.5285/b4987cff-1060-489c-948f-4c6885a93e4d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains remapped driving data for a rectangular domain covering Kenya for 2000-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that…","state":"published","supplementalDescription":["Gosling, S.N., Schmied, H.M., Bradley, A., Burek, P., Gedney, N., Grillakis, M., Guillaumot, L., Hanasaki, N., Ito, A., Kou-Giesbrecht, S., Koutroulis, A., Nishina, K., Otta, K., Qi, W., Sahu, R.-K., Satoh, Y., Schewe, J., (2025) ISIMIP3b Simulation Data from the Global Water Sector (v1.5), ISIMIP Repository."],"title":"Driving data for the period 2000-2025 for running the JULES Land Surface Model over Kenya","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["MultiMOVE Version 2.0.1","MultiMOVE: A Package of niche models for British vegetation v.2.0.1"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorFamilyName":["Henrys","Butler","Jarvis","Smart","Fang"],"authorFullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"authorGivenName":["P.A.","A.","S.G.","S.M.","Z."],"authorOrcid":["https://orcid.org/0000-0003-4758-1482","https://orcid.org/0000-0001-5382-5135","https://orcid.org/0000-0003-2750-7832"],"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. 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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. 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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 Model: Ensemble niche modelling of British vegetation v2.0.1","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment (SEPARATE) modelling framework [1].\n\nThe SEPARATE framework integrates information on pollutant emissions from multiple sources to provide apportionment and summarises these estimates on the basis of the WFD cycle 2 waterbodies for England and Wales.\n\nThe estimated loads are expressed as tonnes per year. Sources are both diffuse and point sources. Diffuse sources include agriculture, urban, river channel banks, atmospheric deposition; point sources include sewage treatment works, septic tanks, combined sewer overflows, storm tanks. The pollutant loads and percentages are given as cumulative values with the values from the upstream catchment. Phosphorous is reported both as dissolved phosphorous and total phosphorous.\n\n[1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. 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Further information given in [1].\n\nAlthough the pollutant emissions are summarised by WFD cycle 2 catchment, the results for individual waterbodies with areas <25 km2 should be treated with caution. This amounts to approximately 43% of the waterbodies across England and Wales and primarily reflects issues associated with the accuracy of statistical or regionally averaged data used to drive the emission layers including those for the agricultural sector. \n\n[1] Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. doi:10.1016/j.envsci.2014.04.010","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T18:30:55.000Z","organisation":["Rothamsted Research","ADAS","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8dc7c876-90ca-4886-bd0a-9b3a99b09f64"],"resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Estimates of discharged loads of nitrogen, phosphorous and fine-grained sediments to rivers in England and Wales from multiple sector sources, reported at Water Framework Directive catchment scale, from the SEctor Pollutant AppoRtionment for the AquaTic Environment…","state":"published","supplementalDescription":["Zhang, Y.; Collins, A.L.; Murdoch, N.; Lee, D.; Naden, P.S. (2014) Cross sector contributions to river pollution in England and Wales: Updating waterbody scale information to support policy delivery for the Water Framework Directive. Environmental Science & Policy, 42, pp 16-32. "],"supplementalName":["WFD Surface Water Management Catchments Cycle 2"],"title":"Source apportionment of annual nutrient and sediment loads to rivers in England and Wales, from the SEPARATE framework","topic":["0/Modelling/","0/Pollution/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Vieno"],"authorFullName":["Vieno, M."],"authorGivenName":["M."],"authorOrcid":["https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations of: nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5), ammonia (NH3), nitric acid (HNO3), sulphur dioxide (SO2), ammonium (NH4+), nitrate (NO3-), sulphate (SO42-), PM2.5 organic matter, and ground level ozone (O3).\n\nThe EMEP4UK model framework consists of an atmospheric chemistry transport model (ACTM) which simulates hourly to annual average atmospheric composition and deposition of various pollutants and the weather research and forecast model (WRF). Pollutants simulated include fine particulate matter (PM10, PM2.5), secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulphur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOx), and ground level ozone (O3). Dry and wet deposition of pollutants are also generated by the EMEP4UK. WRF is used to calculate the required meteorological input data for the ACTM.\n\nThe version of EMEP4UK used to model the 2001-2014 dataset available here is based on the EMEP Meteorological Synthesizing Centre West (MSC-W) model version rv4.4.\n\nA  version of this dataset, calculated using the EMEP model version rv4.17 and the WRF model version 3.7.1 is available at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8\n\nNotes:\nOnly the simulations for the years between 2002-2012 include data for from forest fire.\nThe emissions used for simulating the years 2013 and 2014 are the same as the year 2012 (updated date will be made available as soon as 2013 and 2014 national emission inventory data have been processed).\nThe calculated year 2001-2012 use a different version of the WRF model, moreover for the year 2013 and 2014 the WRF model setup was changed as the specific Humidity is no longer nudged with re-analysis in the WRF simulation.\n\nAcknowledgements required (third-party datasets used to drive the model): The WRF model calculated meteorology uses the dataset from NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. (http://www.wrf-model.org/). National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. (http://doi.org/10.5065/D6M043C6). Emissions data from the EMEP emissions center (www.emep.int), and NAEI web site (http://naei.defra.gov.uk).","documentType":"GEMINI_DOCUMENT","familyName":["Vieno"],"fullName":["Vieno, M."],"givenName":["Massimo","M."],"identifier":"39c6e02f-11ee-44d5-b587-b225f1a99bc8","incomingCitationCount":0,"keyword":["Pollution","Climate and climate change","Modelling","Environmental risk","ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsOther":["ammonium (NH4+)","ammonia (NH3)","ozone (O3)","sulphur dioxide (SO2)","Nitrogen dioxide","Particulate organic matter","sulphate","nitrate","European Monitoring Evaluation Programme (EMEP)"],"keywordsTheme":["Pollution","Climate and climate change","Modelling","Environmental risk"],"licence":"Open government licence","lineage":"The UK Automatic Urban and Rural monitoring Network (AURN) hourly data are used to verify the EMEP4UK model output:\n\nVieno, M., Dore, A. J., Stevenson, D. S., Doherty, R., Heal, M. R., Reis, S., Hallsworth, S., Tarrason, L., Wind, P., Fowler, D., Simpson, D., and Sutton, M. A.: Modelling surface ozone during the 2003 heat-wave in the UK, Atmospheric Chemistry and Physics, 10, 7963-7978 https://doi.org/10.5194/acp-10-7963-2010, 2010\n\nVieno, M., Heal, M. R., Williams, M. L., Carnell, E. J., Nemitz, E., Stedman, J. R., and Reis, S.: The sensitivities of emissions reductions for the mitigation of UK pm2.5, Atmos. Chem. Phys., 16, 265-276 https://doi.org/10.5194/acp-16-265-2016, 2016.\n\nThe UK Acid Gases and Aerosols Network (AGANet) monthy data are also used to verify the EMEP4UK model output:\n\nVieno, M., Heal, M. R., Hallsworth, S., Famulari, D., Doherty, R. M., Dore, A. J., Tang, Y. S., Braban, C. F., Leaver, D., Sutton, M. A., and Reis, S.: The role of long-range transport and domestic emissions in determining atmospheric secondary inorganic particle concentrations across the UK, Atmos. Chem. Phys., 14, 8435-8447 https://doi.org/10.5194/acp-14-8435-2014, 2014\n\nThe EMEP4UK model have been evaluated against other models in the Defra organised model inter-comparison:\n\nCarslaw, D. C.: Report: Defra deposition model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=652, access 01/04/2015, 2011.\nCarslaw, D. C.: Report: Defra regional and transboundary model evaluation analysis - Phase 1, London, http://uk-air.defra.gov.uk/library/reports?report_id=653, access 01/04/2015, 2011.\n\nThe EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated in EU: www.emep.int\n\nNo further QA/QC is carried out.","locations":["POLYGON((-11.637 49.007, -11.637 61.37, 4.932 61.37, 4.932 49.007, -11.637 49.007))"],"metadataDate":"2026-06-29T18:16:56.000Z","orcid":["https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-06-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/39c6e02f-11ee-44d5-b587-b225f1a99bc8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations…","state":"published","supplementalDescription":["The EMEP MSC-W from which the EMEP4UK model is derived is routinely updated and validated"],"title":"The EMEP4UK modelled daily atmospheric composition","topic":["0/Pollution/","0/Climate and climate change/","0/Modelling/","0/Environmental risk/"],"version":1.0,"view":["public","phtr"]},{"altTitle":["MaRIUS-G2G-WAH2-daily"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2005). The catchments correspond to locations of NRFA gauging stations (http://nrfa.ceh.ac.uk/). \n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity.","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"funder":["Natural Environment Research Council"],"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"grant":["NE/L010208/1"],"identifier":"f6cac471-7d92-4e6d-be8a-9f7887143058","incomingCitationCount":2,"keyword":["Great Britain","Catchment","Hydrology","Modelling","G2G","Grid-to-Grid","River flow","drought"],"keywordsOther":["G2G","Grid-to-Grid","River flow","drought"],"keywordsPlace":["Great Britain","Catchment"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Non-Open government licence","lineage":"The flow estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were the weather@home2 bias-corrected precipitation and potential evaportation (Guillod et al. 2018; http://dx.doi.org/10.5285/0cea8d7aca57427fae92241348ae9b03). See Supporting Information for more details. \n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T13:13:44.000Z","orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f6cac471-7d92-4e6d-be8a-9f7887143058","10.5285/f6cac471-7d92-4e6d-be8a-9f7887143058","doi:10.5285/f6cac471-7d92-4e6d-be8a-9f7887143058"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of daily mean river flow (m3/s) for 260 catchments, for the following time periods: historical baseline (HISTBS: 1900-2006),…","state":"published","supplementalDescription":["Guillod, B.P.; Jones, R.G.; Kay, A.L.; Massey, N.R.; Sparrow, S.; Wallom, D.C.H.; Wilson, S.S. (2017): Managing the Risks, Impacts and Uncertainties of drought and water Scarcity (MaRIUS) project: Large set of potential past and future climate time series for the UK from the weather@home2 model . Centre for Environmental Data Analysis, 2018.","Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. "],"supplementalName":["Marius drought project website"],"title":"Grid-to-Grid model estimates of daily mean river flow for gauged catchments in Great Britain: weather@home2 (climate model) driving data [MaRIUS-G2G-WAH2-daily]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"authorFullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"authorGivenName":["J.","S.","E.J. ","T.","M."],"authorOrcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel, lead, zinc, sulphur, and nitrogen over the UK on a 3x3 km2 grid for years between 1750 and 2018.\n\nThe EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n","documentType":"GEMINI_DOCUMENT","familyName":["Scheffler","Tomlinson","Carnell","Liska","Lofts","Bullock","Vieno"],"fullName":["Scheffler, J.","Tomlinson, S.","Carnell, E.J.","Liska, T.","Lofts, S.","Bullock, J.","Vieno, M."],"funder":["Natural Environment Research Council"],"givenName":["J.","S.","E.J. ","T.","M.","Janice"],"grant":["NE/R016429/1 "],"identifier":"bf508daa-c33c-4d75-a250-72b94b1855d4","incomingCitationCount":0,"keyword":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK","Pollution","Modelling","oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsOther":["oxides of sulphur","aerosol","reduced nitrogen","nitrogen oxides","cadmium","copper","nickel","lead","zinc","sulphur","nitrogen"],"keywordsProject":["UK-SCAPE","European Monitoring and Evaluation Programme (EMEP)","EMEP4UK"],"keywordsTheme":["Pollution","Modelling"],"licence":"Open government licence","lineage":"Daily average concentrations for a model domain covering the UK with a resolution of about 3x3 km2 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\nTo assess and control the quality of the heavy metal data, we used observations from the Defra UK Heavy Metals Network and historical observation from NETCEN (Baker 2001).\n\nThe data were 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\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:26:43.000Z","orcid":["https://orcid.org/0000-0002-7398-4237","https://orcid.org/0000-0002-3237-7596","https://orcid.org/0000-0003-0870-1955","https://orcid.org/0000-0001-9500-0633","https://orcid.org/0000-0002-3627-851X","https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/bf508daa-c33c-4d75-a250-72b94b1855d4","10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4","doi:10.5285/bf508daa-c33c-4d75-a250-72b94b1855d4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides annual total atmospheric deposition of cadmium, copper, nickel,…","state":"published","supplementalDescription":["The Weather and Research Forecast (WRF) model derived meteorology has been used to drive the EMEP4UK model: Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, Z. Liu, J. Berner, W. Wang, J. G. Powers, M. G. Duda, D. M. Barker, and X.-Y. Huang, 2019: A Description of the Advanced Research WRF Version 4. NCAR Tech. Note NCAR/TN-556+STR, 145 pp. "," The National Centers for Environmental Prediction Final Reanalysis dataset have been used as initial and boundary condition, and to nudge the WRF model: National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/D6M043C6. Accessed  01/01/2022  ","Data from this center were used in the EMEP4UK model","Data from this inventory were used in the EMEP4UK model","Emissions used in EMEP4UK model are available from this paper: Tomlinson et al., 2023. Estimates of anthropogenic emissions of metals and air pollutants in the UK at a 1 km resolution, 1750-2100","Observations that were used to assess and control the quality of the heavy metal data can be found in this report: Baker, S.J., 2001. Trace and Major Elements in the Atmosphere at Rural Locations in the UK: Summary of Data for 1999 (No. AEAT/R/ENV/0264). National Environmental Technology Centre."],"supplementalName":["Weather and Research Forecast model","National Centers for Environmental Prediction Final Reanalysis dataset ","EU EMEP Emissions Center","The UK National Atmospheric Emissions Inventory","The Republic of Ireland National Emissions Inventory","Tomlinson et al., (2023)","Baker (2001)"],"title":"Heavy metal, nitrogen, and sulphur atmospheric deposition from the European Monitoring and Evaluation Program Model for the UK (EMEP4UK) for 1750-2018","topic":["0/Pollution/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["University of Hull","Bangor University","University of Edinburgh"],"authorFamilyName":["Vasilopoulos","Robins","Chien"],"authorFullName":["Vasilopoulos, G.","Robins, P.E.","Chien, N."],"authorGivenName":["G.","P.E.","N."],"authorOrcid":["https://orcid.org/0000-0001-9503-9845"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/006jb1a24","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII"],"description":"The Digital Elevation Model (DEM) domain includes the tidally influenced Conwy estuary, downstream of the Cwmlanerch river gauge on the River Conwy and extending offshore into Conwy Bay and the Menai Strait at the coastal boundary. A number of sources were combined to generate the land elevation data, including (a) seabed bathymetry, (b) land elevations and (c) location and heights of existing flood defences. The domain topography was based on the marine DEM, Lidar Digital Terrain Model (DTM) and Ordnance Survey Terrain 5m DTM. The Lidar DTM data was used to check and, where necessary, augment the flood defences vector database. ","documentType":"GEMINI_DOCUMENT","familyName":["Robins","Vasilopoulos","Chien"],"fullName":["Robins, P.E.","Vasilopoulos, G.","Chien, N."],"funder":["Natural Environment Research Council"],"givenName":["P.E.","G.","N."],"grant":["NE/V004239/1"],"identifier":"7217e6c0-46c7-4f87-bc36-589f884d3b02","incomingCitationCount":0,"keyword":["Modelling","coast","estuary","Digital Elevation Model","digital land model"],"keywordsOther":["coast","estuary","Digital Elevation Model","digital land model"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"a) Seabed bathymetry for the Menai Strait, Conwy Bay and the mouth of the Conwy estuary extending upstream to the Conwy Bridge were obtained from marine Digital Elevation Models (DEMs) distributed by OceanWise and made available through Digimap. These marine DEMs consist of bed elevations measured with single- and multibeam sonar sensors and converted into raster tiles of 1 arc second horizontal resolution. They are referenced to the WGS 1984 coordinate system and the recorded bathymetry is referenced to the local Chart Datum at Llandudno.\nb) The majority of land elevations for this catchment (73%) have been surveyed by Natural Resources Wales (NRW) using Light Detection and Ranging (Lidar) technology through a series of aerial surveys spanning multiple years (2016-2020). The composite-derived Digital Terrain and Surface Models (DTMs and DSMs, respectively) were obtained from Digimap. The raster tiles have 1 m resolution, are projected to the British National Grid and the elevations are referenced to the national Ordnance Survey vertical datum at Newlyn. The difference between DTMs and DSMs is that the former represents earth terrain and as such has all ‘above-surface’ features (e.g. vegetation, human-made structures) removed, which are included in the latter.\nElevation data for the remaining land areas not covered by the Lidar-based composites (27%) were extracted from the Ordnance Survey Terrain 5 m DTM also available through Digimap. This lower-resolution dataset has national coverage and consists of elevation data obtained from multiple sources including airborne Lidar, photogrammetry and field surveys. The data are provided as raster tiles of 5 m resolution projected to the British National Grid with elevations referenced to the national Ordnance Survey vertical datum at Newlyn.\nc) Locations and heights of flood defences were obtained from the NRW data catalogue. These data consist of vector shapefiles projected to the British National Grid with polylines detailing the location of flood defences including information on the type of defence (e.g. wall, embankment) and the height of the crest above the terrain in metres.\nAll spatial data outlined above were imported into ArcGIS Pro 3.0 and processed to generate the DEM. Individual raster files pertaining to the various datasets outlined above were mosaiced into a single raster tile and resampled to 5 m resolution using a bilinear interpolation method. \n","locations":["POLYGON((-3.949 53.089, -3.949 53.353, -3.676 53.353, -3.676 53.089, -3.949 53.089))"],"metadataDate":"2026-06-29T16:51:01.000Z","orcid":["https://orcid.org/0000-0001-9503-9845"],"organisation":["Bangor University","University of Hull","University of Edinburgh","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7217e6c0-46c7-4f87-bc36-589f884d3b02","10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02","doi:10.5285/7217e6c0-46c7-4f87-bc36-589f884d3b02"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04nkhwh30","https://ror.org/01nrxwf90","https://ror.org/04xw4m193"],"shortenedDescription":"The Digital Elevation Model (DEM) domain includes the tidally influenced Conwy estuary, downstream of the Cwmlanerch river gauge on the River Conwy and extending offshore into Conwy Bay and the Menai Strait at the coastal boundary. A number of sources were combined…","state":"published","title":"Digital Elevation Model (DEM) data for the Conwy estuary, Wales","topic":["0/Modelling/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Norton","Dunbar","Greene","Scholefield"],"authorFullName":["Norton, L.","Dunbar, M.","Greene, S.","Scholefield, P.A."],"authorGivenName":["L.","M.","S.","P.A."],"authorOrcid":["https://orcid.org/0000-0003-2974-6431"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Data consist of modelled estimates of observed/expected Biological Monitoring Working Party (an index for measuring the biological quality of rivers using selected families of macroinvertebrates as biological indicators) scores for freshwater streams across Great Britain (GB). The BMWP scores (1-10) are based on the principle that macroinvertebrates differ in their perceived sensitivity or tolerance to organic pollution (i.e. nutrient enrichment). Values greater than 1 indicate high water quality. Data pooled across two survey years (1998 and 2007) was used to model the relationships between headwater stream quality and catchment/stream characteristics for headwater streams across GB based on known relationships for headwater streams in Countryside Survey squares. Modelled estimates of stream water quality were based on a Boosted Regression Tree modelling approach .","documentType":"GEMINI_DOCUMENT","familyName":["Norton","Dunbar","Greene","Scholefield"],"fullName":["Norton, L.","Dunbar, M.","Greene, S.","Scholefield, P.A."],"givenName":["Lisa","L.","M.","S.","P.A."],"identifier":"85e7beb6-e031-4397-a090-841b8c907d1b","incomingCitationCount":0,"keyword":["GB","Modelling","modelled","water quality","Countryside Survey","headwater streams"],"keywordsOther":["modelled","water quality","Countryside Survey","headwater streams"],"keywordsPlace":["GB"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"This national model was developed following initial work under the Countryside Survey Integrated Assessment which investigated the relationships between water quality and the characteristics of the 1km squares in which they were located.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:21:15.000Z","orcid":["https://orcid.org/0000-0003-2974-6431"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","Natural England"],"publicationDate":"2016-02-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/85e7beb6-e031-4397-a090-841b8c907d1b","10.5285/85e7beb6-e031-4397-a090-841b8c907d1b","doi:10.5285/85e7beb6-e031-4397-a090-841b8c907d1b"],"resourceType":"Dataset","rightsHolder":["Natural England"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00r66pz14"],"shortenedDescription":"Data consist of modelled estimates of observed/expected Biological Monitoring Working Party (an index for measuring the biological quality of rivers using selected families of macroinvertebrates as biological indicators) scores for freshwater streams across Great Britain…","state":"published","title":"Headwater stream quality for Britain","topic":["0/Modelling/"],"version":1.0,"view":["public","dgwr"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading"],"authorFamilyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"authorFullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"authorGivenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"authorOrcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-1320-315X","https://orcid.org/0000-0002-2158-141X","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-7419-0850","https://orcid.org/0000-0003-3970-8172","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-0679-2219","https://orcid.org/0000-0002-2165-5239","https://orcid.org/0000-0003-1821-8561"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\n\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required to calculate the anthropogenic fossil fuel emissions as the residual of the yearly changes. Also included are the global warming variables, fractional land-cover, natural wetland extent and methane (CH4) flux and the soil temperature and moisture content for additional analysis.\n\nThe spatial coverage is global with spatial resolution of the data is 2.5 degrees latitude, 3.75 degrees longitude. \n\nThis dataset is the model output that was used in Comyn-Platt et al (2018) [\nComyn-Platt, E. et al. (2018). Carbon budgets for 1.5 and 2C targets lowered by natural wetland and permafrost feedbacks. Nature Geoscience. https://doi.org/10.1038/s41561-018-0174-9]","documentType":"GEMINI_DOCUMENT","familyName":["Comyn-Platt","Hayman","Huntingford","Chadburn","Burke","Harper","Collins","Webber","Powell","Cox","Gedney","Sitch"],"fullName":["Comyn-Platt, E.","Hayman, G.","Huntingford, C.","Chadburn, S.E.","Burke, E.J.","Harper, A.B.","Collins, W.J.","Webber, C.P.","Powell, T.","Cox, P.M.","Gedney, N.","Sitch, S."],"givenName":["Edward","G.","C.","S.E.","E.J.","A.B.","W.J.","C.P.","T.","P.M.","N.","S."],"identifier":"1cebd79c-02e7-475a-a1da-1f26a963d41e","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsOther":["carbon budgets","JULES","IMOGEN","climate","carbon cycle","permafrost ecosystem","methane","wetland"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"These data contain 12 sets (4 model configurations x 3 temperature pathways) of annual model output from JULES driven by 34 different GCM climate patterns as described in the IMOGEN system. \n\nThe four model configurations included are:\n- 'BLco' - Baseline, or control, configuration without methane feedback.\n- 'CH4_lowQ10' - CH4 feedback configuration with a low temperature sensitivity methanogenesis scheme.\n- 'CH4_poorFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'poor fen' type wetlands.\n- 'CH4_richFEN' - CH4 feedback configuration with a methanogenesis temperature sensitivity representative of 'rich fen' type wetlands.\n\nThe three temperature scenarios included are:\n- '2deg' - Stabilisation at 2 deg C by 2100 from below\n- '1p5deg' - Stabilisation at 1.5 deg C by 2100 from below\n- '1p5degOS' - Stabilisation at 1.5 deg C by 2100 following an overshoot to 1.75 deg C\n\nFor full details of the methods used please refer to  Comyn-Platt et al. (2018) https://doi.org/10.1038/s41561-018-0174-9","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-29T18:03:32.000Z","orcid":["https://orcid.org/0000-0001-7821-4998","https://orcid.org/0000-0003-3825-4156","https://orcid.org/0000-0002-5941-7770","https://orcid.org/0000-0003-1320-315X","https://orcid.org/0000-0002-2158-141X","https://orcid.org/0000-0001-7294-6039","https://orcid.org/0000-0002-7419-0850","https://orcid.org/0000-0003-3970-8172","https://orcid.org/0000-0002-5240-0351","https://orcid.org/0000-0002-0679-2219","https://orcid.org/0000-0002-2165-5239","https://orcid.org/0000-0003-1821-8561"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","University of Exeter","UK Met Office","University of Reading","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-06-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1cebd79c-02e7-475a-a1da-1f26a963d41e","10.5285/1cebd79c-02e7-475a-a1da-1f26a963d41e","doi:10.5285/1cebd79c-02e7-475a-a1da-1f26a963d41e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/03yghzc09","https://ror.org/01ch2yn61","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"These data contain 408 instances of annual model output from JULES/IMOGEN simulations, covering the period between 1850-2100.\n\nEach simulation (which corresponds to one netcdf file) provides annual average of carbon stocks of the land, atmosphere and ocean store required…","state":"published","supplementalName":["JULES (the Joint UK Land Environment Simulator)"],"title":"Natural wetland methane and permafrost thaw feedback modelling with JULES-IMOGEN (1850-2100)","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter"],"authorFamilyName":["Baker"],"authorFullName":["Baker, D.J."],"authorGivenName":["D.J."],"authorOrcid":["https://orcid.org/0000-0002-0466-8222"],"availability":"Unknown","catalogue":"eidc","dataFormat":["rd","r","rdata","Plain text"],"description":"The speciesRecordTools R package contains functions for examining the distribution of species records, understanding sampling trends and potential biases, and building correlative presence-background species distribution models for prediction of the distribution of species across the landscape. The package is built to work with the Environmental Record Centre for Cornwall and the Isles of Scilly's (ERCCIS) opportunistic species records.","documentType":"GEMINI_DOCUMENT","familyName":["Baker"],"fullName":["Baker, D.J."],"funder":["Natural Environment Research Council"],"givenName":["D.J."],"grant":["NE/V007726/1"],"identifier":"030b49f4-9e1f-46e9-ad98-157d8668a517","incomingCitationCount":0,"keyword":["Biodiversity","Modelling","opportunistic records","spatial sampling bias","presence-background models","species distribution"],"keywordsOther":["opportunistic records","spatial sampling bias","presence-background models","species distribution"],"keywordsTheme":["Biodiversity","Modelling"],"licence":"Open government licence","lineage":"Code supplied here can be used to analyse data held by ERCCIS (Cornwall Wildlife Trust). The data is not included in the package but can be requested https://erccis.org.uk/requesting-data. The tools provided in this package were designed in collaboration with ERCCIS to overcome some of the limitations associated with these data when used to map the distribution of species. In particular, the methods attempt to address sparse sampling and spatial sampling bias associated with sampling for many species. Distribution data is required to support planning decisions and local nature recovery strategies within the region. ","locations":["POLYGON((-6.757 49.504, -6.757 51.052, -4.043 51.052, -4.043 49.504, -6.757 49.504))"],"metadataDate":"2026-05-11T18:20:55.000Z","orcid":["https://orcid.org/0000-0002-0466-8222"],"organisation":["University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-10-09T00:00:00.000Z","recordType":"Software","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/030b49f4-9e1f-46e9-ad98-157d8668a517","10.5285/030b49f4-9e1f-46e9-ad98-157d8668a517","doi:10.5285/030b49f4-9e1f-46e9-ad98-157d8668a517"],"resourceType":"Software","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The speciesRecordTools R package contains functions for examining the distribution of species records, understanding sampling trends and potential biases, and building correlative presence-background species distribution models for prediction of the distribution of…","state":"published","title":"Tools for modelling species distributions using data from the Environmental Record Centre for Cornwall and the Isles of Scilly (ERCCIS)","topic":["0/Biodiversity/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Newcastle University"],"authorFamilyName":["Pritchard"],"authorFullName":["Pritchard, D."],"authorGivenName":["D."],"authorOrcid":["https://orcid.org/0000-0002-9215-7210"],"authorRor":["https://ror.org/01kj2bm70"],"availability":"Available","catalogue":"eidc","dataFormat":["Python","yaml","Comma-separated values (CSV)"],"description":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential evapotranspiration (mm) at hourly or longer timesteps.\n\nRWGEN can be used for single site or spatial simulations of historical/reference or perturbed/future climate. The model version in this dataset is a snapshot of the RWGEN Github repository, which contains new releases and developments: https://github.com/rwgen1/rwgen.\n\nThe observational climate inputs consist of historical hourly rainfall and daily weather time series for selected UK Met Office (UKMO) station locations. The historical time series are derived from the UKMO Met Office Integrated Data Archive System (MIDAS) Open datasets for the period 1853 to 2020. These time series can be used to train the RWGEN model for UK locations or catchments. Note that the data coverage is not consistent throughout the 1853-2020 period, with lower data availability prior to the mid-twentieth century. A user may also choose to use alternative data for model input.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Pritchard"],"fullName":["Pritchard, D."],"funder":["Natural Environment Research Council"],"givenName":["D.","David"],"grant":["NE/W007037/1"],"identifier":"44c577d3-665f-40de-adce-74ecad7b304a","incomingCitationCount":1,"keyword":["Climate and climate change","Modelling","RWGEN","stochastic","model","rainfall","precipitation","weather","temperature","potential evapotranspiration","python"],"keywordsOther":["RWGEN","stochastic","model","rainfall","precipitation","weather","temperature","potential evapotranspiration","python"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The model was developed within the UK Research and Innovation (UKRI)/UKMO UK Climate Resilience Programme as part of project NE/W007037/1. The model is provided as a Python package, with installation instructions, examples and documentation. The rainfall component of the model is based on the Neyman-Scott Rectangular Pulse process. The weather and potential evapotranspiration component is based on a regression model. It has been tested against other software (RainSim V3) and against observations (although like all models it has limitations and prospective users should ensure that the model is fit-for-purpose in their applications).\n\nThe historical climate time series were obtained by extracting data from the quality-controlled version (qc1) of the UKMO MIDAS-Open data collection. Further spot checks were undertaken to confirm that the extraction, processing and reformatting appear to have worked satisfactorily.\n\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:18:40.000Z","orcid":["https://orcid.org/0000-0002-9215-7210"],"organisation":["Newcastle University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-17T00:00:00.000Z","recordType":"Model","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/44c577d3-665f-40de-adce-74ecad7b304a","10.5285/44c577d3-665f-40de-adce-74ecad7b304a","doi:10.5285/44c577d3-665f-40de-adce-74ecad7b304a"],"resourceType":"Model","rightsHolder":["Newcastle University"],"ror":["https://ror.org/01kj2bm70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the stochastic Rainfall and Weather GENerator (RWGEN) model and observational historical climate inputs for UK applications. The model simulates one or more stochastic realisations of any length for rainfall (mm), temperature (°C) and potential…","state":"published","title":"Code and UK observation-based historical climate input data for the Rainfall and Weather GENerator (RWGEN) stochastic model","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Loughborough University"],"authorFamilyName":["Zhao","Liang"],"authorFullName":["Zhao, J.H.","Liang, Q.H."],"authorGivenName":["J.H.","Q.H."],"authorRor":["https://ror.org/04vg4w365"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The dataset describes the inundation results simulated by high-performance integrated hydrodynamic modelling system (HiPIMS) model for the pluvial flooding and fluvial flooding in Can Tho city Vietnam. Wherein, the pluvial flooding results simulated by HiPIMS are driven by the design rainfall in the 2, 5, 10, 20, 50, and 100 years return period, respectively, and the fluvial flooding results simulated by HiPIMS are driven by the river water level boundary in 2011.","documentType":"GEMINI_DOCUMENT","familyName":["Zhao","Liang"],"fullName":["Zhao, J.H.","Liang, Q.H."],"funder":["Natural Environment Research Council"],"givenName":["J.H.","Q.H."],"grant":["NE/S002871/1","NE/S00288X/1","NE/S002871/2"],"identifier":"585ce4f2-0070-490f-adb2-ed7f1207605b","incomingCitationCount":0,"keyword":["Vietnam","Can Tho","Hydrology","Modelling"],"keywordsPlace":["Vietnam","Can Tho"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Open government licence","lineage":"The design rainfalls are generated by the peak-over-threshold method based on the local rainfall data. The fluvial water level boundary is calculated by the MIKE 11[1] provided by the local partner. And flood inundation results are produced by the in-house high-performance integrated hydrodynamic modelling system (HiPIMS) driven by the design rainfalls and the water level boundaries.","locations":["POLYGON((105.737 10.032, 105.737 10.061, 105.764 10.061, 105.764 10.032, 105.737 10.032))"],"metadataDate":"2026-06-29T15:42:08.000Z","organisation":["Loughborough University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/585ce4f2-0070-490f-adb2-ed7f1207605b","10.5285/585ce4f2-0070-490f-adb2-ed7f1207605b","doi:10.5285/585ce4f2-0070-490f-adb2-ed7f1207605b"],"resourceType":"Dataset","rightsHolder":["Loughborough University"],"ror":["https://ror.org/04vg4w365","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset describes the inundation results simulated by high-performance integrated hydrodynamic modelling system (HiPIMS) model for the pluvial flooding and fluvial flooding in Can Tho city Vietnam. Wherein, the pluvial flooding results simulated by HiPIMS are driven…","state":"published","supplementalName":["DHI, D. (2003). MIKE 11: a modelling system for rivers and channels, reference manual. DHI–Water and Development, Horsholm, Denmark."],"title":"Flood modelling simulations for Can Tho city, Vietnam","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Exeter","CSIRO"],"authorFamilyName":["Ritchie","Smith"],"authorFullName":["Ritchie, P.D.L.","Smith, G.S."],"authorGivenName":["P.D.L.","G.S."],"authorOrcid":["https://orcid.org/0000-0002-7649-2991"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF","Comma-separated values (CSV)"],"description":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. ","documentType":"GEMINI_DOCUMENT","familyName":["Ritchie","Smith"],"fullName":["Ritchie, P.","Ritchie, P.D.L.","Smith, G.S."],"funder":["Natural Environment Research Council"],"givenName":["Paul","P.D.L.","G.S."],"grant":["NE/P007880/1"],"identifier":"2efac82b-2438-4806-999d-374663210c34","incomingCitationCount":0,"keyword":["Modelling","Climate and climate change","arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsOther":["arable area","net primary productivity","irrigation demand","NPP","JULES","ECO-AG","RCP8.5","arable farming","climate change","irrigation","runoff"],"keywordsTheme":["Modelling","Climate and climate change"],"licence":"Open government licence","lineage":"JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology & Hydrology. The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘full_UK’, available from https://code.metoffice.gov.uk/trac/roses-u.\n\nECO-AG outputs have been produced using an approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:13:12.000Z","orcid":["https://orcid.org/0000-0002-7649-2991"],"organisation":["University of Exeter","CSIRO","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-10-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2efac82b-2438-4806-999d-374663210c34","10.5285/2efac82b-2438-4806-999d-374663210c34","doi:10.5285/2efac82b-2438-4806-999d-374663210c34"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary…","state":"published","title":"Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change","topic":["0/Modelling/","0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham"],"authorFamilyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"authorFullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"authorGivenName":["P.","Andrew","D.","G."],"authorOrcid":["https://orcid.org/0000-0002-3707-1182"],"authorRor":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. DSMs were generated as part of NERC project NE/L00738X/1. DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates.","documentType":"GEMINI_DOCUMENT","familyName":["Ashworth","Nicholas","Parsons","Sambrook Smith"],"fullName":["Ashworth, P.","Nicholas, A.","Parsons, D.","Sambrook Smith, G."],"funder":["Natural Environment Research Council"],"givenName":["P.","Andrew","D.","G."],"grant":["NE/L00738X/1"],"identifier":"13695138-227f-4d85-9049-0a9cba9e1867","incomingCitationCount":1,"keyword":["Canada ","Saskatchewan River","Modelling","digital land model","Digital Surface Models"],"keywordsOther":["digital land model","Digital Surface Models"],"keywordsPlace":["Canada ","Saskatchewan River"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"DSMs were constructed to provide information on the morphology or the river, and changes in morphology through time (e.g. due to erosion and deposition of sediment). DSMs were constructed using imagery obtained on four occasions (13th May 2015; 2nd Sept 2016; 8th June 2017; and 12th June 2017). The dataset consists of eight DSMs; one for each of the two river sections on each of the four dates. \n\nThe DSM was constructed from photogrammetric quality aerial plane images with a 0.06m ground resolution that were captured at a height of c. 1500 m from a fixed-wing aeroplane with an UltraCamXp sensor. The DSM was constructed from the images using a three stage process:\n\n(1) An orthomosaic was generated from the aerial photography (using up to 160 images) by automated image matching using the SfM program Pix4D (https://pix4d.com/) with the 'large frame' supplementary software package. Bundle adjustment was undertaken using Pix4D’s key point matching system optimised for aerial nadir imagery. Camera properties were specified using calibration certificates and were not allowed to vary during the calculation. A point cloud was then derived following the bundle adjustment.\n\n(2) The point cloud was checked for residual tilt using a network of Ground Control Points with coordinates that were determined by RTK differential GPS survey. The corrected point cloud density was reduced to a resolution of 0.5 m and the resulting dataset was filtered in MATLAB using a Chauvenet-type criterion. This procedure was implemented to derive the DSM in dry (non-submerged) areas of the river.\n\n(3) In wet (submerged) areas, bed elevations were derived using a depth-brightness model as follows. First, water surface elevations at the interface between wet and dry areas of the river bed were extracted from the corrected point cloud and interpolated to generate a water surface elevation field for the submerged bed areas. Second, water depth measurements made at the time of image acquisition were located on the orthomosaic of the river, and pixel brightness values were extracted at these locations. A log-linear regression between water depth and pixel brightness was then derived, and this relationship was used to model water depth for all sub-merged bed areas. Bed elevations in these areas were determined by subtracting the predicted depth from the water surface elevation. The final DSM was derived by combining elevation values for the dry and wet bed areas.\n","locations":["POLYGON((-107 51.5, -107 51.6, -107.1 51.6, -107.1 51.5, -107 51.5))"],"metadataDate":"2026-06-29T18:09:41.000Z","orcid":["https://orcid.org/0000-0002-3707-1182"],"organisation":["University of Brighton","University of Exeter","University of Hull","University of Birmingham","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/13695138-227f-4d85-9049-0a9cba9e1867","10.5285/13695138-227f-4d85-9049-0a9cba9e1867","doi:10.5285/13695138-227f-4d85-9049-0a9cba9e1867"],"resourceType":"Dataset","ror":["https://ror.org/04kp2b655","https://ror.org/03yghzc09","https://ror.org/04nkhwh30","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"Data were collected in 2015, 2016 and 2017 to provide Digital Surface Models (DSM) for two sections of the South Saskatchewan River, Canada. DSMs were generated using aerial plane images with a 0.06m ground resolution, captured at a height of c. 1500 m from a fixed-wing…","state":"published","title":"Digital Surface Models for the South Saskatchewan River, Canada","topic":["0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["MaRIUS-G2G-WAH2-monthly"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Bell","Rudd","Kay","Davies"],"authorFullName":["Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"authorGivenName":["V.A.","A.C.","A.L.","H.N."],"authorOrcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the following time periods: historical baseline (HISTBS: 1900-2006), near-future (NF: 2020-2049) and far-future (FF: 2070-2099). It also includes a baseline period (BS: 1975-2004). \n\nTo aid interpretation, two additional spatial datasets are provided:\n -\tDigitally-derived catchment areas on a 1km x 1km grid\n -\tEstimated locations of flow gauging stations on a 1km x 1km grid and as a csv file.\n\nThe data were produced as part of MaRIUS (Managing the Risks, Impacts and Uncertainties of drought and water Scarcity), which was a UK NERC-funded research project (2014-2017) that developed a risk-based approach to drought and water scarcity. ","documentType":"GEMINI_DOCUMENT","familyName":["Bell","Rudd","Kay","Davies"],"fullName":["Bell, V.","Bell, V.A.","Rudd, A.C.","Kay, A.L.","Davies, H.N."],"funder":["Natural Environment Research Council"],"givenName":["Vicky","V.A.","A.C.","A.L.","H.N."],"grant":["NE/L010208/1"],"identifier":"3b90962e-6fc8-4251-853e-b9683e37f790","incomingCitationCount":2,"keyword":["Great Britain","MaRIUS","Hydrology","Modelling","G2G","Grid-to-Grid","drought","river","flow","soil moisture"],"keywordsOther":["G2G","Grid-to-Grid","drought","river","flow","soil moisture"],"keywordsPlace":["Great Britain"],"keywordsProject":["MaRIUS"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Non-Open government licence","lineage":"The flow and soil moisture estimates are output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org/10.1016/j.jhydrol.2009.08.031). The meteorological inputs to the model were the weather@home2 bias-corrected precipitation and potential evaporation (Guillod et al. 2018; https://doi.org/10.5285/0cea8d7aca57427fae92241348ae9b03). See Supporting Information for more details. ","locations":["POLYGON((-8.902 49.771, -8.902 58.882, 3.181 58.882, 3.181 49.771, -8.902 49.771))"],"metadataDate":"2026-06-27T18:50:41.000Z","orcid":["https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-5996-6115","https://orcid.org/0000-0002-5526-1756","https://orcid.org/0000-0001-7783-4853"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b90962e-6fc8-4251-853e-b9683e37f790","10.5285/3b90962e-6fc8-4251-853e-b9683e37f790","doi:10.5285/3b90962e-6fc8-4251-853e-b9683e37f790"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is a model output, from the Grid-to-Grid hydrological model driven by weather@home2 climate model data. It provides a 100-member ensemble of monthly mean flow (m3/s) and soil moisture (mm water/m soil) on a 1 km grid for the following time periods: historical…","state":"published","supplementalDescription":["Bell, V. A., Kay, A. L., Jones, R. G., Moore, R. J., & Reynard, N. S. (2009). Use of soil data in a grid-based hydrological model to estimate spatial variation in changing flood risk across the UK. Journal of Hydrology, 377(3–4), 335–350. ","Guillod, B.P.; Jones, R.G.; Kay, A.L.; Massey, N.R.; Sparrow, S.; Wallom, D.C.H.; Wilson, S.S. (2017): Managing the Risks, Impacts and Uncertainties of drought and water Scarcity (MaRIUS) project: Large set of potential past and future climate time series for the UK from the weather@home2 model . Centre for Environmental Data Analysis, 2018. doi:10.5285/0cea8d7aca57427fae92241348ae9b03. "],"supplementalName":["Marius drought project website"],"title":"Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain: weather@home2 (climate model) driving data [MaRIUS-G2G-WAH2-monthly]","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Universiti Putra Malaysia"],"authorFamilyName":["Rameshwaran","Bell","Davies","Brown","Zulkafli","Rehan","Okeke"],"authorFullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Brown, M.J.","Zulkafli, Z.","Rehan, B.M.","Okeke, T.C."],"authorGivenName":["P.","V.A.","H.N.","M.J.","Z.","B.M.","T.C."],"authorOrcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-6271-8593","https://orcid.org/0000-0002-9404-0809","https://orcid.org/0000-0002-8579-4756"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset comprises multiple baseline and future ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0. 0.008333° × 0. 0.008333° grid (approximate grid of 1 km × 1 km) across Peninsular Malaysia. Specifically, these are provided for historical (1971 to 2005) and projected future (2006 to 2099) periods, for 3 Representative Concentration Pathways (RCPs).  This dataset is the output from the Hydrological Modelling Framework for Malaysia, or “HMF-Malaysia” model. The projected future hydrology simulations are provided for CORDEX-SEA (Coordinated Regional Downscaling Experiment – South East Asia) three RCPs (RCP2.6, RCP4.5 and RCP8.5) assuming (i) current artificial influences (CAI) such as water transfers and diversions and (ii) planned future artificial influences (FAI). This dataset is an output from the hydrological modelling study from the Malaysia - Flood Impacts Across Scales (FIAS) project.","documentType":"GEMINI_DOCUMENT","familyName":["Rameshwaran","Bell","Davies","Brown","Zulkafli","Rehan","Okeke"],"fullName":["Rameshwaran, P.","Bell, V.A.","Davies, H.N.","Brown, M.J.","Zulkafli, Z.","Rehan, B.M.","Okeke, T.C."],"funder":["Natural Environment Research Council","Ministry of Higher Education Malaysia"],"givenName":["P.","V.A.","H.N.","M.J.","Z.","B.M.","T.C."],"grant":["NE/S003177/2","NEWTON/1/2018/WAB05/UPM/2"],"identifier":"9b70bebe-189c-4ae8-9aee-1bb1db7b1ad5","incomingCitationCount":0,"keyword":["Hydrology","Climate and climate change","Modelling","flood","climate change impact","Representative Concentration Pathways (RCPs)"],"keywordsOther":["flood","climate change impact","Representative Concentration Pathways (RCPs)"],"keywordsTheme":["Hydrology","Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for Peninsular Malaysia, or “HMF-Malaysia” model. The climatic inputs that drive the model were CORDEX-SEA daily precipitation, and potential evaporation derived from CORDEX-SEA daily temperature data. See Supporting Information for more details.\n\nSupplemental information: \nBell, V., Rehan, B., Hasan-Basri, B., Houghton-Carr, H., Miller, J., Reynard, N., Sayers, P., Stewart, E., Toriman, M.E., Yusuf, B., Zulkafli, Z., Carr, S., Chapman, R., Davies, H., Fatdillah, E., Horritt, M., Kabirzad, S., Kaelin, A., Okeke, T., … Simpson, M. (2021). Flood Impacts across Scales: towards an integrated multi-scale approach for Malaysia. In Science and practice for an uncertain future. FLOODrisk 2020 - 4th European Conference on Flood Risk Management. Budapest University of Technology and Economics.  https://doi.org/10.3311/FloodRisk2020.9.6","locations":["POLYGON((99.426 0.989, 99.426 6.905, 104.766 6.905, 104.766 0.989, 99.426 0.989))"],"metadataDate":"2026-06-29T16:56:24.000Z","orcid":["https://orcid.org/0000-0002-8972-953X","https://orcid.org/0000-0002-0792-5650","https://orcid.org/0000-0001-7783-4853","https://orcid.org/0000-0003-1127-0279","https://orcid.org/0000-0001-6271-8593","https://orcid.org/0000-0002-9404-0809","https://orcid.org/0000-0002-8579-4756"],"organisation":["UK Centre for Ecology & Hydrology","Universiti Putra Malaysia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b70bebe-189c-4ae8-9aee-1bb1db7b1ad5","10.5285/9b70bebe-189c-4ae8-9aee-1bb1db7b1ad5","doi:10.5285/9b70bebe-189c-4ae8-9aee-1bb1db7b1ad5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises multiple baseline and future ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0. 0.008333° × 0. 0.008333° grid (approximate grid of 1 km × 1 km) across Peninsular Malaysia. Specifically, these…","state":"published","supplementalDescription":["Bell, V., Rehan, B., Hasan-Basri, B., Houghton-Carr, H., Miller, J., Reynard, N., Sayers, P., Stewart, E., Toriman, M.E., Yusuf, B., Zulkafli, Z., Carr, S., Chapman, R., Davies, H., Fatdillah, E., Horritt, M., Kabirzad, S., Kaelin, A., Okeke, T., … Simpson, M. (2021). Flood Impacts across Scales: towards an integrated multi-scale approach for Malaysia. In Science and practice for an uncertain future. FLOODrisk 2020 - 4th European Conference on Flood Risk Management. Budapest University of Technology and Economics."],"title":"Historical (1971-2005) and projected (2006-2099) hydrological model (HMF-Malaysia) estimates of monthly mean and annual maximum river flows across Peninsular Malaysia driven by CORDEX-SEA projected climate data","topic":["0/Hydrology/","0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["https://orcid.org/0000-0003-3727-6468"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["tar.gz"],"description":"This dataset contains remapped driving data for a rectangular domain covering Riau, Indonesia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for any LSM that allows NetCDF input files.\n","documentType":"GEMINI_DOCUMENT","familyName":["Marthews"],"fullName":["Toby Richard Marthews","Marthews, T.R."],"funder":["Natural Environment Research Council"],"givenName":["Toby Richard"],"grant":["NE/X006247/1"],"identifier":"7a6b34b9-eb95-4926-889a-92adebe23d8d","incomingCitationCount":0,"keyword":["Climate and climate change","Modelling","climate","model","forecast"],"keywordsOther":["climate","model","forecast"],"keywordsTheme":["Climate and climate change","Modelling"],"licence":"Open government licence","lineage":"The source data are from the ISIMIP project, specifically ISIMIP3b bias-adjusted climate input data (Inter-Sectoral Impact Model Intercomparison Project phase 3b (ISIMIP3b); info@isimip.org https://www.isimip.org ) (Gosling et al. 2025). For details of bias correction applied in ISIMIP datasets, please see https://www.isimip.org/gettingstarted/isimip3b-bias-correction/ .\n\nISIMIP data are available globally, but only at 0.5°x0.5°C global grid resolution (approx. 50 km resolution at the Equator), when most land surface modelling simulations require higher resolution. Therefore, using a bespoke (R) script written by Dr Toby Marthews, these data were regridded to 1 km resolution across the specified domain. In the interests of parsimony, no downscaling of these data was undertaken: this was a direct regridding process (a 'conservative remapping').\n\nBecause of file size limitations, carrying out this regridding step is often impossible at research institutions, therefore we provide these model-ready files in order to make these driving data more useful to a wider community.\n\n","locations":["POLYGON((99.9 -1.2, 99.9 3.5, 105.1 3.5, 105.1 -1.2, 99.9 -1.2))"],"metadataDate":"2026-06-29T18:15:49.000Z","orcid":["https://orcid.org/0000-0003-3727-6468"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7a6b34b9-eb95-4926-889a-92adebe23d8d","10.5285/7a6b34b9-eb95-4926-889a-92adebe23d8d","doi:10.5285/7a6b34b9-eb95-4926-889a-92adebe23d8d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains remapped driving data for a rectangular domain covering Riau, Indonesia, for 2015-2025 at a daily timestep. It is intended that these files will facilitate a run of the land surface model JULES https://jules.jchmr.org/ , but they may be used for…","state":"published","supplementalDescription":["Gosling, S.N., Schmied, H.M., Bradley, A., Burek, P., Gedney, N., Grillakis, M., Guillaumot, L., Hanasaki, N., Ito, A., Kou-Giesbrecht, S., Koutroulis, A., Nishina, K., Otta, K., Qi, W., Sahu, R.-K., Satoh, Y., Schewe, J., (2025) ISIMIP3b Simulation Data from the Global Water Sector (v1.4), ISIMIP Repository."],"title":"Driving data for the period 2015-2025 for running the JULES Land Surface Model over Riau, Indonesia","topic":["0/Climate and climate change/","0/Modelling/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University College London"],"authorFamilyName":["Amaya-Santos","Paulillo","Chau","Purkiss","Miodownik","Lettieri"],"authorFullName":["Amaya-Santos, G.","Paulillo, A.","Chau, C.","Purkiss, D.","Miodownik, M.","Lettieri, P."],"authorGivenName":[" G.","A.","C.","D.","M.","P."],"authorOrcid":["https://orcid.org/0000-0002-4676-6330","https://orcid.org/0000-0002-0931-3113","https://orcid.org/0000-0002-6340-7591","https://orcid.org/0000-0003-0931-3030","https://orcid.org/0000-0003-4953-716X"],"authorRor":["https://ror.org/02jx3x895"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises output data from a Life Cycle Assessment (LCA) model focused on compostable nappies. It includes detailed information on various life cycle stages (manufacture, transport, use, collection, and disposal) and the environmental impact associated with each. The data is structured as CSV files, detailing material inputs, energy consumption, and resulting environmental outputs. The dataset facilitates the analysis of different end-of-life scenarios for compostable nappies, including landfill, incineration, and composting.","documentType":"GEMINI_DOCUMENT","familyName":["Amaya-Santos","Paulillo","Chau","Purkiss","Miodownik","Lettieri"],"fullName":["Amaya-Santos, G.","Paulillo, A.","Chau, C.","Purkiss, D.","Miodownik, M.","Lettieri, P."],"funder":["Natural Environment Research Council"],"givenName":[" G.","G.","A.","C.","D.","M.","P."],"grant":["NE/V010735/1"],"identifier":"dcb5904b-0e5a-4065-842a-b8ee8ec8554e","incomingCitationCount":0,"keyword":["UK","China","Modelling","Life Cycle Assessment","LCA","compostable nappies","environmental impact","waste management"],"keywordsOther":["Life Cycle Assessment","LCA","compostable nappies","environmental impact","waste management"],"keywordsPlace":["UK","China"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"The data originated from a Life Cycle Assessment (LCA) model developed using GaBi software (version 10.6.2.9). Input data was gathered from primary sources (personal communication with manufacturers) and secondary sources (literature review, Ecoinvent v 3.8, and patent documents). The model output data was then extracted, organized, and converted to CSV format. Quality control involved team discussions and comparison with existing literature.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:25:35.000Z","orcid":["https://orcid.org/0000-0002-4676-6330","https://orcid.org/0000-0002-0931-3113","https://orcid.org/0000-0002-6340-7591","https://orcid.org/0000-0003-0931-3030","https://orcid.org/0000-0003-4953-716X"],"organisation":["University College London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dcb5904b-0e5a-4065-842a-b8ee8ec8554e","10.5285/dcb5904b-0e5a-4065-842a-b8ee8ec8554e","doi:10.5285/dcb5904b-0e5a-4065-842a-b8ee8ec8554e"],"resourceType":"Dataset","rightsHolder":["University College London"],"ror":["https://ror.org/02jx3x895","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises output data from a Life Cycle Assessment (LCA) model focused on compostable nappies. It includes detailed information on various life cycle stages (manufacture, transport, use, collection, and disposal) and the environmental impact associated with…","state":"published","title":"Environmental impact data of the life cycle stages (manufacture, transport, use, collection, and disposal) of compostable nappies using a life cycle assessment model","topic":["0/Modelling/"],"version":1.0,"view":["public","tinzha"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=topic%7C0/Modelling/"}