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Ltd"],"authorFamilyName":["Maskell","Andrews","Deacon","Campbell","Doyle","Fitos","Garbutt","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Smart","Vallis-Wilks","Wagner","Wood"],"authorFullName":["Maskell, L.C.","Andrews, C.","Deacon, A.","Campbell, K.","Doyle, S.","Fitos, E.","Garbutt, R.A.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Smart, S.M.","Vallis-Wilks, M.","Wagner, M.","Wood, C.M."],"authorGivenName":["L.C.","C.","A.","K.","S.","E.","R.A.","G.","D.W.","P.","S.M.","M.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0003-2428-272X","0009-0006-1122-0924","0000-0002-9145-9786","0000-0002-6785-0590","0000-0002-3981-6547","0000-0003-2750-7832","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes of plots recorded from 105 1km squares across Great Britain in 2024, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every 5 years. 2024 represents the first year of a new cycle.\n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have previously been carried out in 1978, 1984, 1990, 1998 and 2007 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to vegetation data, soil data are also gathered by the current phase of the Countryside Survey.\n\nThis research was supported by NERC, through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.","documentType":"GEMINI_DOCUMENT","familyName":["Maskell","Andrews","Deacon","Campbell","Doyle","Fitos","Garbutt","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Smart","Vallis-Wilks","Wagner","Wood"],"fullName":["Maskell, L.C.","Andrews, C.","Deacon, A.","Campbell, K.","Doyle, S.","Fitos, E.","Garbutt, R.A.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Smart, S.M.","Vallis-Wilks, M.","Wagner, M.","Wood, C.M."],"funder":["Natural Environment Research Council"],"givenName":["L.C.","C.","A.","K.","S.","E.","R.A.","G.","D.W.","P.","S.M.","M.","C.M."],"grant":["NE/Y006208/1"],"identifier":"24a2e5d9-d148-4b58-b0fa-a8e3d4b78511","incomingCitationCount":0,"keyword":["Great Britain","NC-UK","biodiversity","environmental survey","ground flora","flora","pollinators","vascular plants"],"keywordsOther":["biodiversity","environmental survey","ground flora","flora","pollinators","vascular plants"],"keywordsPlace":["Great Britain"],"keywordsProject":["NC-UK"],"licence":"Open government licence","lineage":"The data were recorded using electronic data capture devices in the summer of 2024 by professional, trained surveyors. Data were recorded from 105 x 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the UK Centre for Ecology & Hydrology. Standard Countryside Survey methodology was applied (refer to the online documentation).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:25:00.000Z","orcid":["0000-0003-4006-7755","0000-0003-2428-272X","0009-0006-1122-0924","0000-0002-9145-9786","0000-0002-6785-0590","0000-0002-3981-6547","0000-0003-2750-7832","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","XSG Ltd","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/24a2e5d9-d148-4b58-b0fa-a8e3d4b78511","10.5285/24a2e5d9-d148-4b58-b0fa-a8e3d4b78511","doi:10.5285/24a2e5d9-d148-4b58-b0fa-a8e3d4b78511"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes of plots recorded from 105 1km squares across Great Britain in 2024, as part of a rolling soil and vegetation monitoring program of 500 1km squares, beginning in 2019 and repeated every…","state":"published","supplementalName":["UKCEH Countryside Survey website"],"temporalExtentText":"Data collected from 2024 to 2024","title":"Vegetation plot data from the UKCEH Countryside Survey, Great Britain, 2024","version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of Edinburgh","Kalinga Institute of Industrial Technology (KIIT) University","Bangabandhu Sheikh Mujibur Rahman Agricultural University ","Sustainable India Trust","TERI School of Advanced Studies","The Maldives National University","University of Peradeniya","University of Edinburgh ","Kathmandu University","New York University","Youth Alliance for Environment (YAE)","Guru Gobind Singh Indraprastha University","Bangabandhu Sheikh Mujibur Rahman Agricultural University","University of Agriculture Faisalabad"],"authorFamilyName":["Yang","Adhya","Anik","Bansal","Das","Hassan","Jayaweera","Jeffery","Joshi","Kanter","Kaushik","Nissanka","Panda","Pokharel","Porter","Raghuram","Sharna","Shazly","Shifa","Watto"],"authorFullName":["Yang, A.L.","Adhya, T.K.","Anik, A.R.","Bansal, S.","Das, S.","Hassan, R.","Jayaweera, A.","Jeffery, R.","Joshi, R.","Kanter, D.","Kaushik, H.","Nissanka, S.P.","Panda, A.N.","Pokharel, A.","Porter, S.D.","Raghuram, N.","Sharna, S.C.","Shazly, A.","Shifa, S.","Watto, M.A."],"authorGivenName":["A.L.","T.K.","A.R.","S.","R.","A.","D.","H.","S.P.","A.N.","S.D.","N.","S.C.","M.A."],"authorOrcid":["0000-0002-8947-2383","0000-0002-8267-1793","0000-0002-0461-6094","0000-0003-2211-7720","0000-0003-0723-3950","0000-0003-1702-7253","0000-0003-4332-4833","0000-0002-6606-0001","0000-0003-3752-3457","0000-0002-1013-8754","0000-0002-9486-754X","0000-0002-2137-0030","0000-0003-0807-9262"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The database includes the classification of 966 active nitrogen-relevant policies from South Asia (including Afghanistan, Pakistan, India, Nepal, Bhutan, Bangladesh, the Maldives and Sri Lanka). The collection during 2020 and 2021 focuses on national level policies; some subnational policies were also collected. \n\nData collection involved building on an existing open access global database developed by Kanter et al., 2020 that contained 51 policies for South Asia established to 2017 sourced by the environmental law ECOLEX database. Further policies were collected mostly from online sources: such as international policy databases: FAOLEX and national government and ministry websites. A protocol for policy collection and classification was established and followed to ensure consistent and thorough collections across the eight countries. Policies were classified according to a variety of parameters including the sink (air, water etc.) and sector (agriculture, industry etc.) they address and by type of policy. Policies were clustered if they had a central node policy in place and if a ‘subordinate policy’ (including amendments) did not offer anything new in terms of content related to Nitrogen management.\n\nThis data was collected as part of a collective partnership that brings together leading organisations from across South Asia and the UK to reduce the adverse global impacts of nitrogen pollution on the environment, health, and wellbeing. More specifically providing a resource for both SANH partners and the wider scientific and policy community to understand the nitrogen policy landscape in the south Asian region. Furthermore, this research contributes to efforts in building a nitrogen policy arena promoting sustainable management of nitrogen, mitigating adverse effects.\n\nThe dataset provides a thorough overview of available nitrogen related policies in South Asia but does not provide a complete set of all the nitrogen relevant policies available in each country. In some cases, this was due to our dependency on policy availability online, and some websites were not maintained. In addition, we excluded policies established post 2020 to avoid policy responses to COVID19 and to align more closely with the original global study. Repealed policies were omitted from the database.","documentType":"GEMINI_DOCUMENT","familyName":["Yang","Adhya","Anik","Bansal","Das","Hassan","Jayaweera","Jeffery","Joshi","Kanter","Kaushik","Nissanka","Panda","Pokharel","Porter","Raghuram","Sharna","Shazly","Shifa","Watto"],"fullName":["Yang, A.L.","Adhya, T.K.","Anik, A.R.","Bansal, S.","Das, S.","Hassan, R.","Jayaweera, A.","Jeffery, R.","Joshi, R.","Kanter, D.","Kaushik, H.","Nissanka, S.P.","Panda, A.N.","Pokharel, A.","Porter, S.D.","Raghuram, N.","Sharna, S.C.","Shazly, A.","Shifa, S.","Watto, M.A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","T.K.","A.R.","S.","R.","A.","D.","H.","S.P.","A.N.","S.D.","N.","S.C.","M.A."],"grant":["NE/S009019/2"],"identifier":"e2f248d5-79a1-4af9-bdd4-f739fb12ce9a","incomingCitationCount":2,"keyword":["South Asia","Afghanistan","Pakistan","India","Nepal","Bhutan","Bangladesh","Maldives","Sri Lanka","nitrogen"],"keywordsOther":["nitrogen"],"keywordsPlace":["South Asia","Afghanistan","Pakistan","India","Nepal","Bhutan","Bangladesh","Maldives","Sri Lanka"],"licence":"Open government licence","lineage":"The data generated built on an existing open access global nitrogen policy database developed by Kanter et al. (2020) that contains 51 policies for South Asia established up until 2017 sourced by the environmental law ECOLEX database.\n\nThe next step for data collection included the establishment of an adjusted policy collection protocol providing guidance on nitrogen relevant policies established up until December 2019, identifying potential policy sources. A further 915 policies were collected from mostly online sources: such as the international policy database FAOLEX, national government and ministry websites, and the ECOLEX database. The descriptive policy information compiled into the database included: policy title, related URL, data of establishment, policy end date (if applicable), country name, policy coverage (national or sub-national), language and ministry responsible. The identification of policy text type (i.e. legislation, policy, regulation miscellaneous) and source type (1 = ECOLEX/FAOLEX, 2 = other) involved a context-based classification. Please note all policies from ECOLEX were originally sourced by FAOLEX.\n\nAccording to the protocols specified criteria policies were checked and filtered. A coordinator conducted further internal checks to ensure consistency and identify any search gaps (e.g. missing sectors) before moving onto the next steps.\n\nThe next step was to conduct a content-based classification of the policies according to the policies objectives and proposals. Following a similar approach designed by Kanter et al. (2020) policies are classified according to policy type, sector focus, and environmental objectives. Additional classifications are applied, including: impact direction, pollution target source, relevance and impact scope. Internal and external checks were provided to ensure that policies were classified consistently.\n\nData limitations are acknowledged for both the collection and classification processes. The collection of nitrogen relevant policies are recognised to not be 100% complete due to the dependency on online availability of policy texts and gaps in existing databases. The classifications could also be subjective. Random internal and external checks, along the different data processing steps, aimed to mitigate this risk. The relevance and impact of certain policies could vary according to country context therefore there was inevitability some variability in analysts judgements between countries. ","locations":["POLYGON((61.021 5.179, 61.021 39.437, 93.911 39.437, 93.911 5.179, 61.021 5.179))"],"metadataDate":"2026-09-15T08:38:21.000Z","orcid":["0000-0002-8947-2383","0000-0002-8267-1793","0000-0002-0461-6094","0000-0003-2211-7720","0000-0003-0723-3950","0000-0003-1702-7253","0000-0003-4332-4833","0000-0002-6606-0001","0000-0003-3752-3457","0000-0002-1013-8754","0000-0002-9486-754X","0000-0002-2137-0030","0000-0003-0807-9262"],"organisation":["University of Edinburgh","Kalinga Institute of Industrial Technology (KIIT) University","Bangabandhu Sheikh Mujibur Rahman Agricultural University ","Sustainable India Trust","TERI School of Advanced Studies","The Maldives National University","University of Peradeniya","University of Edinburgh ","Kathmandu University","New York University","Youth Alliance for Environment (YAE)","Guru Gobind Singh Indraprastha University","Bangabandhu Sheikh Mujibur Rahman Agricultural University","University of Agriculture Faisalabad","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e2f248d5-79a1-4af9-bdd4-f739fb12ce9a","10.5285/e2f248d5-79a1-4af9-bdd4-f739fb12ce9a","doi:10.5285/e2f248d5-79a1-4af9-bdd4-f739fb12ce9a"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The database includes the classification of 966 active nitrogen-relevant policies from South Asia (including Afghanistan, Pakistan, India, Nepal, Bhutan, Bangladesh, the Maldives and Sri Lanka). The collection during 2020 and 2021 focuses on national level policies;…","state":"published","supplementalDescription":["ECOLEX is operated jointly by FAO, IUCN and UNEP. All policies sourced from ECOLEX were originally sourced by FAOLEX.\n","FAOLEX is operated by the Food and Agriculture Organization of the United Nations (FAO). © FAO. FAOLEX Database. Complete collection. License: CC BY-NC-SA 3.0 IGO."],"temporalExtentText":"Data available up to 2020","title":"Nitrogen-relevant policies from South Asia collected by the South Asian Nitrogen Hub (SANH) 2020-2021 ","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","NEIF Radiocarbon Laboratory","University of Edinburgh"],"authorFamilyName":["Brown","Garnett","Eades","Pickard"],"authorFullName":["Brown, A.M.","Garnett, M.","Eades, L.","Pickard, A.E."],"authorGivenName":["A.M.","M.","L.","A.E."],"authorOrcid":["0000-0001-6878-4065","0000-0001-6486-2126","0000-0003-1069-3720"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland between June 2022 to September 2022.\nSixteen identified outflows from abandoned coal mines were selected for measurement.  The locations are distributed from Lathallan Mill in the northeast to Kames in the southwest and included mine water outflows from the Fife, Central (Lanarkshire), Lothian and Ayrshire coal fields.  Some of the outflows had treatment systems and others discharged directly into rivers or streams.\n","documentType":"GEMINI_DOCUMENT","familyName":["Brown","Garnett","Eades","Pickard"],"fullName":["Brown, A.M.","Garnett, M.","Eades, L.","Pickard, A.E.","Brown, A."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","M.","L.","A.E.","Alison"],"grant":["NE/S007431/1"],"identifier":"49daf07b-cfbe-48d1-8889-1adafe410a2e","incomingCitationCount":0,"keyword":["Water quality","Mine water","Scotland","Carbon stable and radiogenic isotopes","methane","metal","carbon","coal","carbon dioxide","mine","greenhouse gas"],"keywordsOther":["Mine water","Scotland","Carbon stable and radiogenic isotopes","methane","metal","carbon","coal","carbon dioxide","mine","greenhouse gas"],"keywordsTheme":["Water quality"],"licence":"Open government licence","lineage":"Measurements were made across the 16 selected locations over the period June 2022 to September 2022. Water properties were analysed within the lab at UKCEH Edinburgh, metals were analysed by the University of Edinburgh and radiogenic isotopes of dissolved methane (CH4) and carbon dioxide (CO2) by the National Environmental Isotope Facility (NEIF) Radiocarbon Laboratory.  Data were collected as follows:\n1.\tMine water sources (at the location mine water reaches the surface and is accessible for measurement). This included detailed measurement of carbon stable and radiogenic isotopes of dissolved CH4 and CO2, metal concentrations, GHG (CO2, CH4 and N2O) concentrations, physio-chemical water properties including temperature, pH, conductivity, oxygen, dissolved carbon and nitrogen and a range of ionic species.  \n2.\tMine water treatment effectiveness. This included measurements of mine water throughout the reed pools treatments systems at four of the sixteen sites.  This included two sites using chemical oxidation and two sites using an aeration cascade.  Measurements   included metal concentrations, GHG concentrations and physio-chemical water properties.  Carbon stable and radiogenic carbon isotopes of dissolved CH4 and CO2 were measured in the reed pool to enable comparison with the source.\nData were carefully quality controlled to check analytical methods data were correct including cross checking of data between surveys.   Any suspect data have been removed.\nSamples were collected and analysed as part of an IAPETUS 2 Doctoral Training Programme (DTP) NERC funded PHD.  \n","locations":["POLYGON((-4.4 55.46, -4.4 56.33, -2.79 56.33, -2.79 55.46, -4.4 55.46))"],"metadataDate":"2026-07-24T21:19:16.000Z","orcid":["0000-0001-6878-4065","0000-0001-6486-2126","0000-0003-1069-3720"],"organisation":["UK Centre for Ecology & Hydrology","NEIF Radiocarbon Laboratory","University of Edinburgh","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2023-07-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/49daf07b-cfbe-48d1-8889-1adafe410a2e","10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e","doi:10.5285/49daf07b-cfbe-48d1-8889-1adafe410a2e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","University of Glasgow","NEIF Radiocarbon Laboratory"],"ror":["https://ror.org/00pggkr55","https://ror.org/01nrxwf90","https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Greenhouse gas (GHG) concentrations, physio-chemical water properties, metal concentrations and carbon radiogenic and stable isotope data of the GHG were measured to investigate the properties of mine water from legacy coal mines across the Midland Valley, Scotland…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"Greenhouse gas, carbon isotopes, water physio-chemical properties and metal concentrations from mine water outflows in the Midland Valley, Scotland, 2022","topic":["0/Water quality/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment"],"authorFamilyName":["Levy","Martin Hernandez","Smith","Dore","Tang","Stedman"],"authorFullName":["Levy, P.E.","Martin Hernandez, C.","Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"authorGivenName":["P.E.","C.","R.I.","A.J.","Y.S.","J.R."],"authorOrcid":["0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometres (km) grid squares of the UK averaged over the years 2016 to 2018.\n\nThe data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition.\n\nHabitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (Defra) contracts. ","documentType":"GEMINI_DOCUMENT","familyName":["Levy","Martin Hernandez","Smith","Dore","Tang","Stedman"],"fullName":["Levy, P.E.","Martin Hernandez, C.","Smith, R.I.","Dore, A.J.","Tang, Y.S.","Stedman, J.R."],"givenName":["P.E.","C.","R.I.","A.J.","Y.S.","J.R."],"identifier":"5999d471-fe1d-45fa-889d-3156edb785a7","incomingCitationCount":1,"keyword":["Concentration Based Estimated Deposition (CBED)","Pollution","base cations","pollutant","pollutant deposition","nitrogen","sulphur"],"keywordsOther":["base cations","pollutant","pollutant deposition","nitrogen","sulphur"],"keywordsProject":["Concentration Based Estimated Deposition (CBED)"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"The Concentration Based Estimated Deposition (CBED) methodology generates 5x5 km resolution maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the 5x5 km grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats.\n\nData processing was done using the R and GenStat programme and results output as text files. These were then exported as comma separated values for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:07:33.000Z","orcid":["0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","Ricardo Energy & Environment","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-09-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5999d471-fe1d-45fa-889d-3156edb785a7","10.5285/5999d471-fe1d-45fa-889d-3156edb785a7","doi:10.5285/5999d471-fe1d-45fa-889d-3156edb785a7"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets provide Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometres (km) grid squares of the UK averaged over the years 2016 to 2018.\n\nThe data consist of deposition values for sulphur, oxidised…","state":"published","supplementalDescription":["Fowler, D., Cape, J.N., Leith, I.D., Choularton, T.W., Gay, M.J. & Jones, A.  1988.  The influence of altitude on rainfall composition at Great Dun Fell.  Atmospheric Environment, 22, 1355-1362.","Hallsworth, S., Sutton, M.A., Dore, A.J., Dragosits, U., Tang, Y.S. & Vieno, M.  2010.  The role of the indicator choice in quantifying the ammonia threat to the Natura 2000 network.  Environmental Science & Policy, 13, 671-687","RoTAP.  2012.  Review of Transboundary Air Pollution: Acidifcation, Eutrophication, Ground Level Ozone and Heavy Metals in the UK.  Contract Report to the Department for Environment, Food and Rural Affairs.  Centre for Ecology & Hydrology.  www.rotap.ceh.ac.uk","Smith, R.I., Fowler, D., Sutton, M.A., Flechard, C. & Coyle, M.  2000.  Regional estimation of pollutant gas deposition in the UK: model description, sensitivity analyses and outputs.  Atmospheric Environment, 34, 3757-3777.","Stedman, J.R., Kent, A.J., Grice, S., Bush, T.J. & Derwent, R.G.  2007.  A consistent method for modelling PM10 and PM2.5 concentrations across the United Kingdom in 2004 for air quality assessment.  Atmospheric Environment, 41, 161-172.","Dore, A.J., Choularton, T.W. & Inglis, D.W.F.  2001.  Monitoring studies of precipitation and cap cloud chemistry at Holme Moss in the Southern Pennines.  Water, Air and Soil Pollution: Focus 1; 381-390.","Beswick, K.M., Choularton, T.W., Inglis, D.W.F., Dore, A.J. & Fowler, D.  2003.  Influences on long-term trends in ion concentration and deposition at Holme Moss.  Atmospheric Environment, 37 (14), 1927-1940."],"supplementalName":["UK Acidifying and Eutrophying Atmospheric Pollutants ","United Kingdom Eutrophying & Acidifying Network (UKEAP) "],"temporalExtentText":"Data collected from 2016 to 2018","title":"Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK 2016-2018","topic":["0/Pollution/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of Bath ","7 Lakes Alliance"],"authorFamilyName":["Slavin","Wain"],"authorFullName":["Slavin, E.I.","Wain, D.J."],"authorGivenName":["E.I.","D.J."],"authorOrcid":["0000-0001-9400-0703","0000-0001-5091-102X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains 5-day of water velocities at Durleigh Reservoir in Somerset, England. A Nortek Vector acoustic doppler velocimeter (ADV) was used to collect the dataset.  The ADV was deployed between 20 August 2018 (15:00) and 24 August 2018 (09:15), located approximately 30 m north of the surface mixers in Durleigh reservoir. The surface mixers were operating when the ADV was deployed and were switched off between 07:17 on 22 August and 16:42 on 23 August 2018.  ","documentType":"GEMINI_DOCUMENT","familyName":["Slavin","Wain"],"fullName":["Slavin, E.I.","Wain, D.J.","Slavin, E."],"givenName":["E.I.","D.J.","Emily"],"identifier":"fd3eb9f3-832e-4a16-b9db-fd6045242ecf","incomingCitationCount":0,"keyword":["Durleigh reservoir","Water quality","Pollution","Environmental survey","reservoir","water velocity"],"keywordsOther":["reservoir","water velocity"],"keywordsPlace":["Durleigh reservoir"],"keywordsTheme":["Water quality","Pollution","Environmental survey"],"licence":"Open government licence","lineage":"The ADV was mounted in a steel frame so that the sensor was positioned 10 cm above the sediments when deployed. Prior to deployment the ADV compass was calibrated and the instrument was set up to measure in the ENU directions. Velocities were measured using burst mode, measuring for 16 seconds every 10 minutes at a frequency of 64 Hz for 1024 samples.\n\nThe data available to download are a .dat and .sen files, converted to .csv files, for each day of sampling (e.g. day 1 = 20 August 2018). The .dat files, indicated by the suffux _dat in the file name, include velocities (E/N/U) in m s-1, amplitude (1-3) in counts, signal to noise ratio (1-3) in dB, correlation (1-3) in % and pressure (dbar). The .sen files, indicated by the suffux _sen in the file name, include the time, heading (degrees), pitch (degrees), roll (degrees), sound speed (m s-1), and temperature (°C). ","locations":["POLYGON((-3.056 51.118, -3.056 51.125, -3.037 51.125, -3.037 51.118, -3.056 51.118))"],"metadataDate":"2026-07-25T18:11:10.000Z","orcid":["0000-0001-9400-0703","0000-0001-5091-102X"],"organisation":["University of Bath ","7 Lakes Alliance","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-05-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fd3eb9f3-832e-4a16-b9db-fd6045242ecf","10.5285/fd3eb9f3-832e-4a16-b9db-fd6045242ecf","doi:10.5285/fd3eb9f3-832e-4a16-b9db-fd6045242ecf"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains 5-day of water velocities at Durleigh Reservoir in Somerset, England. A Nortek Vector acoustic doppler velocimeter (ADV) was used to collect the dataset.  The ADV was deployed between 20 August 2018 (15:00) and 24 August 2018 (09:15), located approximately…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Acoustic Doppler Velocimeter measurements from Durleigh Reservoir, August 2018","topic":["0/Water quality/","0/Pollution/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites. The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) collate the data and the UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC).","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"03fbc322-967a-44aa-aab9-0281d9f53d84","incomingCitationCount":0,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:54:15.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","UK Butterfly Monitoring Scheme, Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-10-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1412700287835","CEH:EIDC::1412700287835","https://catalogue.ceh.ac.uk/id/03fbc322-967a-44aa-aab9-0281d9f53d84","10.5285/03fbc322-967a-44aa-aab9-0281d9f53d84","doi:10.5285/03fbc322-967a-44aa-aab9-0281d9f53d84"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored.…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites."],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2013","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2013","topic":["0/Biodiversity/"],"version":1.0,"view":["public","phtr"]},{"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":["0000-0002-0673-1934","0000-0002-8313-6194","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":"2026-09-15T08:42:51.000Z","orcid":["0000-0002-0673-1934","0000-0002-8313-6194","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"],"temporalExtentText":"Data collected from 2019 to 2020","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":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr"],"authorFullName":["Jones, I.","Feuchtmayr, H."],"authorGivenName":["I.","H."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages. The data were collected by the Centre for Ecology & Hydrology between 2008 and 2011 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr"],"fullName":["Jones, I.","Feuchtmayr, H."],"givenName":["I.","H.","Heidrun"],"identifier":"38f382d6-e39e-4e6d-9951-1f5aa04a1a8c","incomingCitationCount":3,"keyword":["Lake District ","England","Blelham Tarn","Environmental survey","Water quality","temperature profile ","freshwater","meteorological parameter","lake"],"keywordsOther":["temperature profile ","freshwater","meteorological parameter","lake"],"keywordsPlace":["Lake District ","England","Blelham Tarn"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Blelham Tarn are collated and processed by the Centre for Ecology & Hydrology at Lancaster. Data are available for download from 2008 to 2011. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-2.985 54.393, -2.985 54.398, -2.971 54.398, -2.971 54.393, -2.985 54.393))"],"metadataDate":"2026-09-15T08:36:34.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/38f382d6-e39e-4e6d-9951-1f5aa04a1a8c","10.5285/38f382d6-e39e-4e6d-9951-1f5aa04a1a8c","doi:10.5285/38f382d6-e39e-4e6d-9951-1f5aa04a1a8c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Blelham Tarn, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see…","state":"published","temporalExtentText":"Data collected from 2008 to 2011","title":"Data from automatic water monitoring buoy from Blelham Tarn, 2008 to 2011","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"authorOrcid":["0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (length) data for linear features across Great Britain in 1984. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths for 7 different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M.","Claire"],"identifier":"271d398c-29de-4ff9-ba68-1b8e0621c6ee","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","hedges","fences","walls","tree lines","grass strips","banks"],"keywordsOther":["hedges","fences","walls","tree lines","grass strips","banks"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1984 by surveyors. Data were recorded from 384 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean length per Land Class.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:27:30.000Z","orcid":["0000-0003-4006-7755","0000-0001-9349-0069","0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-12-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1406199764438","CEH:EIDC::1406199764438","https://catalogue.ceh.ac.uk/id/271d398c-29de-4ff9-ba68-1b8e0621c6ee","10.5285/271d398c-29de-4ff9-ba68-1b8e0621c6ee","doi:10.5285/271d398c-29de-4ff9-ba68-1b8e0621c6ee"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 1984. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling…","state":"published","temporalExtentText":"Data collected from 1984 to 1984","title":"Countryside Survey 1984 estimates of linear feature lengths in Great Britain","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["University of Manchester","Moors for the Future Partnership","University of Manchester "],"authorFamilyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"authorFullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"authorGivenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"authorOrcid":["0000-0002-6788-0407","0000-0001-7629-9537","0000-0003-1526-2620","0000-0003-0661-1366","0000-0003-2300-1033"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains rainfall and runoff records, from pre- and post-restoration microcatchments (0.4-4 hectares), at two peatland sites in the Peak District, UK. Discharge data are provided as litres per second and rainfall data as millimetres. The Kinder Scout site contains 3 microcatchments with discharge records covering 2010-2021 at 10-minute timesteps. The Stalybridge site contains 10 microcatchments covering 2019-2022 at 5-minute timesteps. Different microcatchments had different restoration treatments, please refer to documentation for specific details.","documentType":"GEMINI_DOCUMENT","familyName":["Johnston","Allott","Edokpa","Kay","Rees","Shuttleworth","Spencer","Evans"],"fullName":["Johnston, A.R.","Allott, T.E.H.","Edokpa, D.","Kay, M.","Rees, J.L.","Shuttleworth, E.L.","Spencer, T.","Evans, M.G."],"funder":["Natural Environment Research Council"],"givenName":["A.R.","T.E.H.","D.","M.","J.L.","E.L.","T.","M.G."],"identifier":"91cabe3d-877d-4fca-91a0-900cce793607","incomingCitationCount":0,"keyword":["Peatland","Peak District","Hydrology","discharge","rainfall"],"keywordsOther":["discharge","rainfall"],"keywordsPlace":["Peatland","Peak District"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"Runoff data were collected using V-notch weirs installed across an erosional gully at microcatchment outlets. Pressure transducers recorded the height of water above the V-notch, which was subsequently converted to discharge using a weir equation. Manual stageboard readings and depth of flow above the v-notch were measured at the time of downloading pressure transducer data. Sensor depth at the time of manual readings was used to calibrate sensor depth to height of flow above the V-notch. \nRainfall data were collected using a tip bucket rain gauge. These recorded rainfall at a resolution of 0.2mm. \nMore details on data collection, calibration and QA are available in the documentation.\n","locations":["POLYGON((-2.017 53.398, -2.017 53.528, -1.863 53.528, -1.863 53.398, -2.017 53.398))"],"metadataDate":"2026-07-25T10:16:05.000Z","orcid":["0000-0002-6788-0407","0000-0001-7629-9537","0000-0003-1526-2620","0000-0003-0661-1366","0000-0003-2300-1033"],"organisation":["University of Manchester","Moors for the Future Partnership","University of Manchester ","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/91cabe3d-877d-4fca-91a0-900cce793607","10.5285/91cabe3d-877d-4fca-91a0-900cce793607","doi:10.5285/91cabe3d-877d-4fca-91a0-900cce793607"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains rainfall and runoff records, from pre- and post-restoration microcatchments (0.4-4 hectares), at two peatland sites in the Peak District, UK. Discharge data are provided as litres per second and rainfall data as millimetres. The Kinder Scout site…","state":"published","temporalExtentText":"Data collected from 2010 to 2022","title":"Rainfall and runoff record for experimental microcatchments in peatlands at Kinder Scout (2010-2021) and Stalybridge (2019-2022), Peak District, UK","topic":["0/Hydrology/"],"version":1.0,"view":["public","simgil"]},{"authorAffiliation":["University of Exeter","University of Campinas","University of São Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Australian National University","CREAF"],"authorFamilyName":["Rowland","Oliveira","Bittencourt","Giles","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini","Coughlin","Miatto"],"authorFullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M.","Coughlin, S.I.","Miatto, R.C."],"authorGivenName":["L.","R.S.","P.R.L.","A.L.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M.","S.I.","R.C."],"authorRor":["https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/019wvm592","https://ror.org/03abrgd14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall to the soil and was conducted over a 1ha area, alongside the experiment there is a control (non- drought plot) of a corresponding size.\n\nThe samples were collected in 2017, fifteen years after the start of the experiment on trees with a diameter at breast height (1.3m) of 1-10cm. The purpose of the dataset was to assess if traits relating to plant metabolism (photosynthesis and respiration) and plant hydraulic processes had been significantly altered in trees growing under drought conditions.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Oliveira","Bittencourt","Giles","de Britto Costa","Domingues","Ferreira","Vasconcelos","Junior","da Costa","Meir","Mencuccini","Coughlin","Miatto"],"fullName":["Rowland, L.","Oliveira, R.S.","Bittencourt, P.R.L.","Giles, A.L.","de Britto Costa, P.","Domingues, T.","Ferreira, L.V.","Vasconcelos, S.S.","Junior, J.A.S.","Oliveira, A.A.R.","da Costa, A.C.L.","Meir, P.","Mencuccini, M.","Coughlin, S.I.","Miatto, R.C."],"funder":["Natural Environment Research Council"],"givenName":["L.","R.S.","P.R.L.","A.L.","P.","T.","L.V.","S.S.","J.A.S.","A.A.R.","A.C.L.","M.","S.I.","R.C.","Lucy"],"grant":["NE/N014022/1"],"identifier":"ca147ac9-ac68-4348-b5f0-dcd483ef3a85","incomingCitationCount":0,"keyword":["Plant hydraulics","Through-fall exclusion experiment","leaf","respiration","photosynthesis","tropical forest","drought"],"keywordsOther":["Plant hydraulics","Through-fall exclusion experiment","leaf","respiration","photosynthesis","tropical forest","drought"],"licence":"Open government licence","lineage":"The data was from August to September (dry season) in 2017. In total twenty species from nine genera were sampled, with replication at genera level on the drought and control plot. For each individual, we collected two branches from the top of the crown, representing the point maximally exposed to light and the 17 traits were measured off these two branches. The quality control processes were trait specific and the related papers detail how this was done.","locations":["POLYGON((-51.264 -1.462, -51.264 -1.324, -51.086 -1.324, -51.086 -1.462, -51.264 -1.462))"],"metadataDate":"2026-07-25T14:04:10.000Z","organisation":["University of Exeter","University of Campinas","University of São Paulo","Museu Paraense Emílio Goeldi","EMBRAPA","Federal University of Para","Australian National University","CREAF","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ca147ac9-ac68-4348-b5f0-dcd483ef3a85","10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85","doi:10.5285/ca147ac9-ac68-4348-b5f0-dcd483ef3a85"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/010gvqg61","https://ror.org/0482b5b22","https://ror.org/03q9sr818","https://ror.org/019wvm592","https://ror.org/03abrgd14","https://ror.org/04xw4m193"],"shortenedDescription":"A data set consisting of seventeen functional traits collected on 43 saplings from a Control and 33 saplings from a long-term drought experiment site in a tropical rainforest in NE Amazonia, Brazil. The experiment was designed to exclude 50% of the incoming rainfall…","state":"published","supplementalDescription":["Bartholomew et al. Small tropical forest trees have a greater capacity to adjust carbon metabolism to long-term drought than large canopy trees. Plant Cell and Environment 43(10) 2380-2393","Giles et al (2022) Small understorey trees have greater capacity than canopy trees to adjust hydraulic traits following prolonged experimental drought in a tropical forest. Tree Physiology 42 (3) 537-556"],"temporalExtentText":"Data collected from 2017 to 2017","title":"Traits data from juvenile trees exposed to a 50% reduction in canopy throughfall at the Caxiuan drought experiment, Brazil, 2017","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of York"],"authorFamilyName":["Hayes","Mills","Ashmore"],"authorFullName":["Hayes, F.","Mills, G.","Ashmore, M."],"authorGivenName":["F.","G.","M."],"authorOrcid":["0000-0002-1037-5725","0000-0001-9870-2868"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04m01e293"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are biomass measurements from an ozone exposure experiment, during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 (Accumulated Ozone Threshold exposure of 40 parts per billion) of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). Measurements were dry weight, with a cutting height of 7cm above soil level. The distribution of plant material within the canopy was determined by separating material growing in the upper canopy (>14cm) from the canopy edge and the inner canopy for both species. The experiments were carried out in the CEH Bangor Air Pollution Facility. Work was funded by the Centre for Ecology & Hydrology Integrating Fund Initiative. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates.","documentType":"GEMINI_DOCUMENT","familyName":["Hayes","Mills","Ashmore"],"fullName":["Hayes, F.","Mills, G.","Ashmore, M."],"givenName":["F.","G.","M."],"identifier":"5de90f7a-dec9-4bd5-af52-d0873a09d25d","incomingCitationCount":0,"keyword":["Abergwyngregyn","Pollution","competition","solar domes","solardome","Trifolium repens","Lolium perenne","root","leaf","grassland","ozone"],"keywordsOther":["competition","solar domes","solardome","Trifolium repens","Lolium perenne","root","leaf","grassland","ozone"],"keywordsPlace":["Abergwyngregyn"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). There were reductions in biomass for T. repens, but not L. perenne, and the proportion of T. repens decreased in ozone-exposed mixtures compared to the control. In addition, leaf biomass of T. repens was maintained at the expense of biomass partitioning to the stolons. The decreased growth corresponded with decreased photosynthetic capacity for T. repens, however, by the end of the exposure there was also decreased photosynthetic capacity of L. perenne, a species previously considered insensitive to ozone. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates.","locations":["POLYGON((-4.018 53.237, -4.018 53.239, -4.016 53.239, -4.016 53.237, -4.018 53.237))"],"metadataDate":"2026-07-28T10:18:24.000Z","orcid":["0000-0002-1037-5725","0000-0001-9870-2868"],"organisation":["Centre for Ecology & Hydrology","University of York","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5de90f7a-dec9-4bd5-af52-d0873a09d25d","10.5285/5de90f7a-dec9-4bd5-af52-d0873a09d25d","doi:10.5285/5de90f7a-dec9-4bd5-af52-d0873a09d25d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04m01e293","https://ror.org/04xw4m193"],"shortenedDescription":"The data are biomass measurements from an ozone exposure experiment, during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for…","state":"published","supplementalDescription":["Hayes, Felicity; Mills, Gina; Ashmore, Mike. 2010 How much does the presence of a competitor modify the within-canopy distribution of ozone-induced senescence and visible injury? Water, Air and Soil Pollution, 210. 265-276. ","Hayes,F.; Mills, G.; Ashmore, M.. 2009 Effects of ozone on inter- and intra-species competition and photosynthesis in mesocosms of Lolium perenne and Trifolium repens. Environmental Pollution, 157 (1). 208-214. "],"temporalExtentText":"Data collected from 2007 to 2007","title":"Biomass of Trifolium repens versus Lolium perenne after ozone exposure in solardomes","topic":["0/Pollution/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Plymouth","University of Twente"],"authorFamilyName":["Sgarabotto","Manzella"],"authorFullName":["Sgarabotto, A.","Manzella, I."],"authorGivenName":["A.","I."],"authorOrcid":["0000-0002-4740-784X","0000-0001-7518-819X"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data show the results of experiments consisting of releasing a cobble down a tilting table composed of two panels.  The first board was 150 cm wide and 150 cm long and can change the inclination, whereas the other one was 150 cm wide, and 200 cm long and always stayed horizontal.\n\nExperiments were carried out for different slope angles and camera- and sensor-based data collected to show cobble motion over time.\n\nThe cobble motion is described by the smart sensor data (accelerometer, gyroscope, and magnetometer) and the position computed from camera recordings by a detection algorithm","documentType":"GEMINI_DOCUMENT","familyName":["Sgarabotto","Manzella"],"fullName":["Sgarabotto, A.","Manzella, I."],"funder":["Natural Environment Research Council"],"givenName":["A.","I.","Alessandro"],"grant":["NE/V003402/1"],"identifier":"14c540a8-1894-43c5-ba3b-1045df73e28f","incomingCitationCount":0,"keyword":["landslide","ground-based monitoring","boulders","Smart sensors"],"keywordsOther":["landslide","ground-based monitoring","boulders","Smart sensors"],"licence":"Open government licence","lineage":"Experiments were carried out for different slopes, namely 18˚, 25˚, 30˚, 35˚, 40˚, 45˚, 50˚, and 55˚ . The experiments were recorded by a GoPro camera filming the experiments frontally with a 4K resolution and a frame rate of 30 fps. A sensor equipped with an accelerometer, a gyroscope, and a magnetometer was installed within the cobble. The accelerometer and gyroscope had an acquisition frequency set at 59.5 Hz, whereas the magnetometer recorded at 4 Hz. The cobble motion is described by the smart sensor data and the position computed from camera recordings by a detection algorithm. \nRolling experiments were repeated three times and sliding experiments repeated four times. For each test, given the different acquisition frequencies, data were upsampled so that sensor-based data and camera-based data have the same number of entries when referring to the same test, providing a time series describing cobble motion over time. After the upsampling, the timestep between any successive entries is 0.017 s. Additionally, filtered sensor- data and camera-based data are also provided to get more reliable data on cobble motion.\n","metadataDate":"2026-07-24T19:10:19.000Z","orcid":["0000-0002-4740-784X","0000-0001-7518-819X"],"organisation":["University of Plymouth","University of Twente","NERC EDS Environmental Information Data Centre","University of Exeter","University of East Anglia"],"publicationDate":"2023-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/14c540a8-1894-43c5-ba3b-1045df73e28f","10.5285/14c540a8-1894-43c5-ba3b-1045df73e28f","doi:10.5285/14c540a8-1894-43c5-ba3b-1045df73e28f"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Plymouth","University of Exeter","University of East Anglia"],"ror":["https://ror.org/04xw4m193","https://ror.org/008n7pv89","https://ror.org/03yghzc09","https://ror.org/026k5mg93"],"shortenedDescription":"These data show the results of experiments consisting of releasing a cobble down a tilting table composed of two panels.  The first board was 150 cm wide and 150 cm long and can change the inclination, whereas the other one was 150 cm wide, and 200 cm long and always…","state":"published","title":"Smart sensor data from tracking cobble movement in rolling and sliding experiments","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Southampton","Norwegian Institute for Nature Research","Forest Research"],"authorFamilyName":["Gresham","Grainger","Guy","Rattey","Bellamy","Spake"],"authorFullName":["Gresham, A.","Grainger, M.","Guy, M.","Rattey, A.","Bellamy, C.","Spake, R."],"authorGivenName":["A","M","C","R"],"authorOrcid":["0000-0001-7628-5426","0000-0001-8426-6495","0000-0003-0016-6572","0000-0002-3830-0995","0000-0003-4671-2225"],"authorRor":["https://ror.org/01ryk1543","https://ror.org/04aha0598","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"These datasets each contain maps showing predicted risk of deer impact to woodlands across England and Wales. The \"small deer impact risk\" map shows impact risk from roe deer (Capreolus capreolus), Reeve's muntjac (Muntiacus reevesi) and Chinese water deer (Hydropotes inermis). The \"large deer impact risk\" map shows impact risk from red deer (Cervus elaphus), sika deer (Cervus nippon) and fallow deer (Dama dama). The values in the \"mean_risk\" column are impact risk scores predicted at 25-m pixel resolution, then averaged to woodland polygons. The pixel-level scores were calculated using Bayesian Belief Network (BBN) models, co-developed with scientists and deer managers using iterative expert elicitation. \n\nThis work was funded by the Natural Environment Research Council (Grant: NE/X003973/1).","documentType":"GEMINI_DOCUMENT","familyName":["Gresham","Grainger","Guy","Rattey","Bellamy","Spake"],"fullName":["Gresham, A.","Grainger, M.","Guy, M.","Rattey, A.","Bellamy, C.","Spake, R.","Amy Gresham"],"funder":["Natural Environment Research Council"],"givenName":["A","M","C","R","A."],"grant":["NE/X003973/1"],"identifier":"1c6f1763-68d7-481b-983b-a0d061a82163","incomingCitationCount":0,"keyword":["Animal behaviour","Environmental risk","Invasive species","Land cover","Land use","Mapping","Modelling","deer","grazing","herbivore","planting","risk analysis","temperate woodland","tree","woodland ecosystem"],"keywordsOther":["deer","grazing","herbivore","planting","risk analysis","temperate woodland","tree","woodland ecosystem"],"keywordsTheme":["Animal behaviour","Environmental risk","Invasive species","Land cover","Land use","Mapping","Modelling"],"licence":"Non-Open government licence","lineage":"The input data were derived from pre-existing spatial datasets from the UK Centre for Ecology & Hydrology and Forest Research. Landscape attributes were extracted from these datasets and analysed using a Bayesian Belief Network modelling framework. The spatial data provided represent the final outputted values of these models assigned to woodland polygons from the UKCEH Land Cover Map (2023).","locations":["POLYGON((-6.943 49.525, -6.943 56.047, 2.197 56.047, 2.197 49.525, -6.943 49.525))"],"metadataDate":"2026-07-24T19:16:49.000Z","orcid":["0000-0001-7628-5426","0000-0001-8426-6495","0000-0003-0016-6572","0000-0002-3830-0995","0000-0003-4671-2225"],"organisation":["University of Southampton","Norwegian Institute for Nature Research","Forest Research","NERC EDS Environmental Information Data Centre","University of Reading"],"publicationDate":"2026-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1c6f1763-68d7-481b-983b-a0d061a82163","10.5285/1c6f1763-68d7-481b-983b-a0d061a82163","doi:10.5285/1c6f1763-68d7-481b-983b-a0d061a82163"],"resourceType":"Dataset","rightsHolder":["University of Reading","University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04aha0598","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"These datasets each contain maps showing predicted risk of deer impact to woodlands across England and Wales. The \"small deer impact risk\" map shows impact risk from roe deer (Capreolus capreolus), Reeve's muntjac (Muntiacus reevesi) and Chinese water deer (Hydropotes…","state":"published","title":"Baseline deer impact risk maps for woodlands in England and Wales","topic":["0/Animal behaviour/","0/Environmental risk/","0/Invasive species/","0/Land cover/","0/Land use/","0/Mapping/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marthews"],"authorFullName":["Marthews, T.R."],"authorGivenName":["Toby Richard"],"authorOrcid":["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":["Marthews, T.R.","Toby Richard Marthews"],"funder":["Natural Environment Research Council"],"givenName":["Toby Richard","Toby"],"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":"2026-07-25T12:54:54.000Z","orcid":["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."],"temporalExtentText":"Data collected from 2000 to 2025","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"]},{"authorAffiliation":["Newcastle University","Fathom","University of Bristol","UK Centre for Ecology & Hydrology","Unaffiliated"],"authorFamilyName":["Lewis","Quinn","Blenkinsop","Fowler","Freer","Tanguy","Hitt","Coxon","Bates","Woods","Fry","Chevuturi","Swain","White"],"authorFullName":["Lewis, E.","Quinn, N.","Blenkinsop, S.","Fowler, H.J.","Freer, J.","Tanguy, M.","Hitt, O.","Coxon, G.","Bates, P.","Woods, R.","Fry, M.","Chevuturi, A.","Swain, O.","White, S.M."],"authorGivenName":["E.","N.","S.","H.J.","J.","M.","O.","G.","P.","R.","A.","S.M."],"authorOrcid":["0000-0002-7471-9988","0000-0001-8676-608X","0000-0003-0790-6545","0000-0001-8848-3606","0000-0001-6388-7890","0000-0002-1516-6834","0000-0003-3100-4904","0000-0002-8837-460X","0000-0001-9192-9963","0000-0002-5732-5979","0000-0003-1142-4039","0000-0003-2815-7221","0000-0002-3192-9969"],"authorRor":["https://ror.org/01kj2bm70","https://ror.org/0524sp257","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The dataset contains 1km gridded estimates of hourly rainfall for Great Britain for the period 1990-2016. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University and the UK Centre for Ecology & Hydrology (UKCEH). These interpolated hourly estimates were then used to temporally disaggregate the CEH-GEAR daily rainfall dataset. The estimated rainfall on a given hour refers to the rainfall amount accumulated in the previous hour.\n\nThe dataset also contains data indicating the distance between the grid point and the closest recording raingauge used in its interpolation. When this distance is greater than 50km, or there is zero rainfall recorded in the closest gauge, the daily value is disaggregated using a design storm. The dataset therefore also contains a flag indicating if the design storm was used. These data are provided as an indicator of the quality of the estimates.","documentType":"GEMINI_DOCUMENT","familyName":["Lewis","Quinn","Blenkinsop","Fowler","Freer","Tanguy","Hitt","Coxon","Bates","Woods","Fry","Chevuturi","Swain","White"],"fdriCategory":["Hydrology","Meteorology"],"fdriSpatialScale":"National scale","fullName":["Lewis, E.","Quinn, N.","Blenkinsop, S.","Fowler, H.J.","Freer, J.","Tanguy, M.","Hitt, O.","Coxon, G.","Bates, P.","Woods, R.","Fry, M.","Chevuturi, A.","Swain, O.","White, S.M."],"funder":["Natural Environment Research Council","European Research Council"],"givenName":["E.","N.","S.","H.J.","J.","M.","O.","G.","P.","R.","A.","S.M."],"grant":["NE/I006680/1","NE/S017380/1","NE/K00896X/1","ERC-2013-CoG-617329 "],"identifier":"fc9423d6-3d54-467f-bb2b-fc7357a3941f","incomingCitationCount":3,"keyword":["Gridded estimates of areal rainfall (GEAR)","Floods and Droughts Digital Research Infrastructure (FDRI)","Climate and climate change","subdaily rainfall","rainfall","Hydrology","Meteorology","National scale"],"keywordsOther":["subdaily rainfall","rainfall","Hydrology","Meteorology","National scale"],"keywordsProject":["Gridded estimates of areal rainfall (GEAR)","Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The hourly rainfall estimates are derived from the temporal disaggregation of the CEH-GEAR daily data using hourly gauge data. This methodology ensures that the daily totals of the CEH-GEAR daily and 1hr datasets are consistent. The hourly gauge data is from the Met Office, the England Environment Agency (EA), Natural Resources Wales (NRW) and the Scottish Environmental Protection Agency (SEPA). The CEH-GEAR daily data is derived from the Met Office national database of observed precipitation. The nearest neighbour interpolation methodology was used to generate the gridded hourly estimates which were subsequently used to disaggregate the daily data.\n\nA quality control protocol was established in order to identify and reject erroneous hourly values in the gauge rainfall input dataset. The quality control procedure is a three step process:\n1) The gauge data is compared to the gridded CEH-GEAR daily dataset to identify suspect gauges\n2) A series of quality control tests are applied to identify suspect values at all gauges which are marked with a quality control flag\n3) Combinations of quality control flags for a given hourly accumulation are used to determine which flagged data are treated as erroneous values and thus excluded from the gauge records.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-01T14:34:50.000Z","orcid":["0000-0002-7471-9988","0000-0001-8676-608X","0000-0003-0790-6545","0000-0001-8848-3606","0000-0001-6388-7890","0000-0002-1516-6834","0000-0003-3100-4904","0000-0002-8837-460X","0000-0001-9192-9963","0000-0002-5732-5979","0000-0003-1142-4039","0000-0003-2815-7221","0000-0002-3192-9969"],"organisation":["Newcastle University","Fathom","University of Bristol","UK Centre for Ecology & Hydrology","Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2022-01-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc9423d6-3d54-467f-bb2b-fc7357a3941f","10.5285/fc9423d6-3d54-467f-bb2b-fc7357a3941f","doi:10.5285/fc9423d6-3d54-467f-bb2b-fc7357a3941f"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/01kj2bm70","https://ror.org/0524sp257","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains 1km gridded estimates of hourly rainfall for Great Britain for the period 1990-2016. The estimates are derived by applying the nearest neighbour interpolation method to a national database of hourly raingauge observations collated by Newcastle University…","state":"published","temporalExtentText":"Data collected from 1990 to 2016","title":"Gridded estimates of hourly areal rainfall for Great Britain 1990-2016 [CEH-GEAR1hr] v2","topic":["0/Climate and climate change/"],"version":2.0,"view":["public","crimar"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This service provides a view of Environmental Change Network (ECN) site locations from which data are collected. There are 12 terrestrial sites and 45 freshwater sites. Sites range from upland to lowland, moor land to chalk grassland, small ponds and streams to large rivers and lakes. ECN is the UK's long-term environmental monitoring programme. A wide range of integrated physical, chemical and biological variables which drive and respond to environmental change are collated, quality controlled and made freely available for scientific research. The data form an important evidence base for UK environmental policy development. ECN is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","identifier":"b1540d75-bbec-4181-902f-f0b43eeee359","incomingCitationCount":0,"keyword":["Environmental survey","Environmental Change Network","ECN","LTER","ILTER"],"keywordsOther":["Environmental Change Network","ECN","LTER","ILTER"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","lineage":"These data are derived from a GIS. Location information has been confirmed by site contacts. ","locations":["POLYGON((-9.08 50.17, -9.08 58.17, 2.63 58.17, 2.63 50.17, -9.08 50.17))"],"metadataDate":"2026-07-25T12:53:44.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2007-05-01T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b1540d75-bbec-4181-902f-f0b43eeee359"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This service provides a view of Environmental Change Network (ECN) site locations from which data are collected. There are 12 terrestrial sites and 45 freshwater sites. Sites range from upland to lowland, moor land to chalk grassland, small ponds and streams to large…","state":"published","title":"Environmental Change Network (ECN) monitoring sites view service","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Kay","Rudd","Davies","Lane","Bell"],"authorFullName":["Kay, A.L.","Rudd, A.C.","Davies, H.N.","Lane, R.A.","Bell, V.A."],"authorGivenName":["A.L.","A.C.","H.N.","R.A.","V.A."],"authorOrcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Gridded hydrological model river flow estimates on a 1km grid over Great Britain for the period Dec 1980 - Nov 2011. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept) and annual minima of 7-day mean river flow (years spanning Dec-Nov) (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable. \n\nTo aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid. \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.\n","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.","Kay, A."],"funder":["Natural Environment Research Council"],"givenName":["A.L.","A.C.","H.N.","R.A.","V.A.","Alison"],"grant":["NE/R016429/1"],"identifier":"2f835517-253e-4697-b774-ab6ff2c0d3da","incomingCitationCount":2,"keyword":["Hydrology","Annual minimum","Annual maximum","Grid-to-Grid","G2G","Modelling","Great Britain","River flow","UK-SCAPE","hydrology","hydrologic flow"],"keywordsOther":["Annual minimum","Annual maximum","Grid-to-Grid","G2G","Modelling","Great Britain","River flow","UK-SCAPE","hydrology","hydrologic flow"],"keywordsTheme":["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.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.","locations":["POLYGON((-8.903 49.771, -8.903 58.883, 3.181 58.883, 3.181 49.771, -8.903 49.771))"],"metadataDate":"2026-07-24T19:35:16.000Z","orcid":["0000-0002-5526-1756","0000-0001-5996-6115","0000-0001-7783-4853","0000-0003-4176-9214","0000-0002-0792-5650"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-09-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f835517-253e-4697-b774-ab6ff2c0d3da","10.5285/2f835517-253e-4697-b774-ab6ff2c0d3da","doi:10.5285/2f835517-253e-4697-b774-ab6ff2c0d3da"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Gridded hydrological model river flow estimates on a 1km grid over Great Britain for the period Dec 1980 - Nov 2011. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept) and annual minima of 7-day mean river flow…","state":"published","temporalExtentText":"Data collected from 1980 to 2011","title":"Grid-to-Grid model estimates of river flow for Great Britain driven by observed data (1980 to 2011)","topic":["0/Hydrology/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading"],"authorFamilyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"authorFullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"authorGivenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"authorOrcid":["0000-0002-4984-1607"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set comprises of hourly physical and nutrient monitoring data of The Cut at Bray Marina (National grid reference SU915786), from May 2010 to February 2012.  Parameters measured are total phosphorus, total reactive phosphorus, ammonium, conductivity, temperature, dissolved oxygen, pH and total chlorophyll.  The accompanying hourly averaged flow data (from the EA flow gauging station at Binfield, approximately 10 km upstream of the monitoring site) are also supplied. The monitoring programme was funded by the EPSRC, through the LIMPIDS project.","documentType":"GEMINI_DOCUMENT","familyName":["Bowes","Gozzard","Newman","Loewenthal","Halliday","Skeffington","Jarvie","Wade","Palmer-Felgate"],"fullName":["Bowes, M.J.","Gozzard, E.","Newman, J.","Loewenthal, M.","Halliday, S.","Skeffington, R.A.","Jarvie, H.P.","Wade, A.","Palmer-Felgate, E."],"givenName":["M.J.","E.","J.","M.","S.","R.A.","H.P.","A."],"identifier":"abe4dd7c-a340-4595-a57f-8c1446ff7656","incomingCitationCount":2,"keyword":["United Kingdom","England","Berkshire","Hourly"],"keywordsOther":["Hourly"],"keywordsPlace":["United Kingdom","England","Berkshire"],"licence":"Non-Open government licence","lineage":"Total and total reactive phosphorus data was produced in the field using a Hach Lange Phosphax Sigma auto-analyser.  The other parameters were monitored using a YSI 6600 sonde.  The monitoring site installation, telemetry / data collection and maintenance / calibration of the YSI probe was conducted by the Environment Agency's National Water Quality Instrumentation Service.  The hourly phosphorus data was produced by CEH. Data processing was carried out jointly by CEH and University of Reading. Full details of the field procedures and laboratory groundtruthing samples are outlined in the accompanying papers (see Additional Information Source, under Description tab).   ","locations":["POLYGON((-0.686 51.498, -0.686 51.5, -0.684 51.5, -0.684 51.498, -0.686 51.498))"],"metadataDate":"2026-09-15T08:37:56.000Z","orcid":["0000-0002-4984-1607"],"organisation":["Centre for Ecology & Hydrology","Environment Agency","University of Reading","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1431339069094","CEH:EIDC::1431339069094","https://catalogue.ceh.ac.uk/id/abe4dd7c-a340-4595-a57f-8c1446ff7656","10.5285/abe4dd7c-a340-4595-a57f-8c1446ff7656","doi:10.5285/abe4dd7c-a340-4595-a57f-8c1446ff7656"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"This data set comprises of hourly physical and nutrient monitoring data of The Cut at Bray Marina (National grid reference SU915786), from May 2010 to February 2012.  Parameters measured are total phosphorus, total reactive phosphorus, ammonium, conductivity, temperature,…","state":"published","supplementalDescription":["Bowes, M.J., Armstrong, L.K., Harman, S.A., Wickham, H.D., Nicholls, D.J.E., Scarlett, P.M., … Read, D.S. (2018). Weekly water quality monitoring data for the River Thames (UK) and its major tributaries (2009–2013): the Thames Initiative research platform. Earth System Science Data, 10(3), 1637-1653","Halliday, S.J., Skeffington, R.A., Wade, A.J., Bowes, M.J., Gozzard, E., Newman, J.R., … Jarvie, H.P. (2015). High-frequency water quality monitoring in an urban catchment: hydrochemical dynamics, primary production and implications for the Water Framework Directive. Hydrological Processes, 29(15), 3388-3407","Wade, A.J., Palmer-Felgate, E.J., Halliday, S.J., Skeffington, R.A., Loewenthal, M., Jarvie, H.P., … Newman, J.R. (2012). Hydrochemical processes in lowland rivers: insights from in situ, high-resolution monitoring. Hydrology and Earth System Sciences, 16(11), 4323-4342"],"temporalExtentText":"Data collected from 2010 to 2012","title":"Hourly physical and nutrient monitoring data for The Cut, Berkshire (2010-2012)","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation"],"authorFamilyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"authorFullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"authorGivenName":["M.","D.","T.","I.","Z."],"authorOrcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. \n\nButterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats. \n\nAlthough the UK Centre for Ecology & Hydrology (UKCEH) and Butterfly Conservation (BC) are responsible for the calculation and interpretation of the Collated indices, the collection of the data used in their creation is ultimately reliant on a large volunteer community. The UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). \n\nThis dataset is updated annually and more recent versions of the UKBMS collated indices are available.","documentType":"GEMINI_DOCUMENT","familyName":["Botham","Roy","Brereton","Middlebrook","Randle"],"fullName":["Botham, M.","Roy, D.","Brereton, T.","Middlebrook, I.","Randle, Z."],"givenName":["M.","D.","T.","I.","Z."],"identifier":"ff55462e-38a4-4f30-b562-f82ff263d9c3","incomingCitationCount":1,"keyword":["United Kingdom","England","Scotland","Wales","Northern Ireland","Biodiversity","butterfly","lepidopteran"],"keywordsOther":["butterfly","lepidopteran"],"keywordsPlace":["United Kingdom","England","Scotland","Wales","Northern Ireland"],"keywordsTheme":["Biodiversity"],"licence":"Non-Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-07-25T18:12:26.000Z","orcid":["0000-0002-5276-1405","0000-0002-5147-0331"],"organisation":["UK Butterfly Monitoring Scheme","Centre for Ecology & Hydrology","Butterfly Conservation","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1329909998347","CEH:EIDC::1329909998347","https://catalogue.ceh.ac.uk/id/ff55462e-38a4-4f30-b562-f82ff263d9c3","10.5285/ff55462e-38a4-4f30-b562-f82ff263d9c3","doi:10.5285/ff55462e-38a4-4f30-b562-f82ff263d9c3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been…","state":"published","supplementalDescription":["This is a web page which provides data for each butterfly species at each monitored site. It also provides links to reports, UKBMS related publications and to UKBMS statistics in addition to maps of sites. "],"supplementalName":["UKBMS website"],"temporalExtentText":"Data collected from 1976 to 2011","title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2011","topic":["0/Biodiversity/"],"version":1.0,"view":["public","rjsc"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}