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Hydrology"],"authorFamilyName":["Carnell","Tomlinson","Reis"],"authorFullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"authorGivenName":["E.","S.J.","S."],"authorOrcid":["0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-2428-8320"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum).","documentType":"GEMINI_DOCUMENT","familyName":["Carnell","Tomlinson","Reis"],"fullName":["Carnell, E.","Tomlinson, S.J.","Reis, S."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["E.","S.J.","S."],"identifier":"7beefde9-c520-4ddf-897a-0167e8918595","incomingCitationCount":2,"keyword":["UK","Mapping","Environmental risk","population","land cover","Gridded"],"keywordsOther":["population","UK","land cover","Gridded"],"keywordsPlace":["UK"],"keywordsTheme":["Mapping","Environmental risk"],"licence":"Open government licence","lineage":"Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency have been downloaded as CSV/Excel files.\nLand Cover Map 2021 raster data has been obtained from UKCEH.\nOutput Area (/Data Zone) geography data (Extent of the Realm), were obtained for England & Wales, Northern Ireland, and Scotland.\nThe processing steps are detailed in the Supporting Documentation.\nTo ensure consistency of the final product, total population numbers were compared, at each processing step, with the official 2021/2022 Census totals. As a result, the final output file is consistent with the Census total population for the UK in 2021.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:57:11.000Z","orcid":["0000-0003-0870-1955","0000-0002-3237-7596","0000-0003-2428-8320"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7beefde9-c520-4ddf-897a-0167e8918595","10.5285/7beefde9-c520-4ddf-897a-0167e8918595","doi:10.5285/7beefde9-c520-4ddf-897a-0167e8918595"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical…","state":"published","supplementalDescription":["Census data from the Office of National Statistics, National Records for Scotland and Northern Ireland Statistics and Research Agency"],"supplementalName":["Land Cover Map 2021 (25m rasterised land parcels, GB)  ","Land Cover Map 2021 (25m rasterised land parcels, NI)  ","England and Wales Output Areas","Scotland Output Areas","Northern Ireland Data Zones"],"temporalExtentText":"Data collected from 2021 to 2022","title":"UK gridded population at 1 km resolution for 2021 based on Census 2021/2022 and Land Cover Map 2021","topic":["0/Mapping/","0/Environmental risk/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University"],"authorFamilyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley"],"authorFullName":["Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S."],"authorGivenName":["E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S."],"authorOrcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420"],"authorRor":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Parsonage Down, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. The experiment investigated the effect of different plant groups on soil carbon stores and nutrient cycling, by using a mixture of hand weeding and herbicide spot spraying to create different plant communities on the species rich grassland at Parsonage Down. The resulting carbon and nutrient cycling rates were compared to the characteristics of the plant groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2014 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.","documentType":"GEMINI_DOCUMENT","familyName":["Fry","Hall","Savage","Bardgett","Ostle","Pywell","Bullock","Oakley"],"fullName":["Fry, E.","Fry, E.L.","Hall, A.L.","Savage, J.","Bardgett, R.D.","Ostle, N.","Pywell, R.F.","Bullock, J.M.","Oakley, S."],"funder":["Natural Environment Research Council"],"givenName":["E.","E.L.","A.L.","J.","R.D.","N.","R.F.","J.M.","S.","Ellen"],"grant":["NE/J014680/1"],"identifier":"e05b350f-3cf4-4f8d-aa3c-24d562ca756b","incomingCitationCount":0,"keyword":["Wessex BESS","species richness","vegetation biomass","Shannon's Diversity Index","net ecosystem CO2 exchange","respiration","nitrous oxide","photosynthesis","carbon dioxide","nitrogen oxides","methane","vegetation","biomass"],"keywordsOther":["species richness","vegetation biomass","Shannon's Diversity Index","net ecosystem CO2 exchange","respiration","nitrous oxide","photosynthesis","carbon dioxide","nitrogen oxides","methane","vegetation","biomass"],"keywordsProject":["Wessex BESS"],"licence":"Open government licence","lineage":"For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.","locations":["POLYGON((-1.955 51.165, -1.955 51.183, -1.897 51.183, -1.897 51.165, -1.955 51.165))"],"metadataDate":"2026-07-25T14:47:06.000Z","orcid":["0000-0001-7513-2006","0000-0003-2912-6339","0000-0002-5280-5148","0000-0002-5131-0127","0000-0003-3263-3702","0000-0001-6431-9959","0000-0003-0529-4020","0000-0002-5757-7420"],"organisation":["University of Manchester","Centre for Ecology & Hydrology","Lancaster University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-01-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e05b350f-3cf4-4f8d-aa3c-24d562ca756b","10.5285/e05b350f-3cf4-4f8d-aa3c-24d562ca756b","doi:10.5285/e05b350f-3cf4-4f8d-aa3c-24d562ca756b"],"resourceType":"Dataset","ror":["https://ror.org/027m9bs27","https://ror.org/00pggkr55","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Parsonage Down, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Atmospheric gas and vegetation survey data from Parsonage Down, UK, in 2014","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institute of Biology Bucharest, Romanian Academy","Joint Services Health Unit, RAF Akrotiri"],"authorFamilyName":["Pescott","Peyton","Mountford","Onete","Martinou"],"authorFullName":["Pescott, O.L.","Peyton, J.","Mountford, J.","Onete, M.","Martinou, A."],"authorGivenName":["O.L.","J.","M.","A."],"authorOrcid":["0000-0002-0685-8046","0000-0002-8313-6194"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset comprises forest stand and species occurrence data for a selection of non-native species collected in the UK Sovereign Base Areas (SBA) of Cyprus in October 2015 and March 2017, with a particular focus on the area surrounding Lake Akrotiri in the Western SBA. The main focus for mapping was stands of Acacia saligna, Casuarina cunninghamiana, the eucalypts Eucalyptus camaldulensis and E. gomphocephala, and the forb Symphyotrichum squamatum. The typical accuracy of data capture was around 10-15 m precision, varying according to the presence of forest canopy. ","documentType":"GEMINI_DOCUMENT","familyName":["Pescott","Peyton","Mountford","Onete","Martinou"],"fullName":["Pescott, O.L.","Peyton, J.","Mountford, J.","Onete, M.","Martinou, A.","Pescott, O."],"givenName":["O.L.","J.","M.","A.","Oliver"],"identifier":"7c84e06d-bb1a-4aac-b1d7-33c11310d8a0","incomingCitationCount":0,"keyword":["Cyprus","Akrotiri","Invasive species","Acacia saligna","Casuarina cunninghamiana","Eucalyptus","Symphyotrichum squamatum"],"keywordsOther":["Acacia saligna","Casuarina cunninghamiana","Eucalyptus","Symphyotrichum squamatum"],"keywordsPlace":["Cyprus","Akrotiri"],"keywordsTheme":["Invasive species"],"licence":"Open government licence","lineage":"The data were captured in the field on GPS-enabled ruggedised tablet computers. The typical accuracy of data capture was around 10-15 m precision, varying according to the presence of forest canopy. Plant species determinations were checked against standard Floras and other guides, both in the field and using specimens, with the authors working together to unify determinations across the project.","locations":["POLYGON((31.707 34.271, 31.707 35.889, 35.178 35.889, 35.178 34.271, 31.707 34.271))"],"metadataDate":"2026-07-25T06:57:44.000Z","orcid":["0000-0002-0685-8046","0000-0002-8313-6194"],"organisation":["Centre for Ecology & Hydrology","Institute of Biology Bucharest, Romanian Academy","Joint Services Health Unit, RAF Akrotiri","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-10-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0","10.5285/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0","doi:10.5285/7c84e06d-bb1a-4aac-b1d7-33c11310d8a0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises forest stand and species occurrence data for a selection of non-native species collected in the UK Sovereign Base Areas (SBA) of Cyprus in October 2015 and March 2017, with a particular focus on the area surrounding Lake Akrotiri in the Western…","state":"published","temporalExtentText":"Data collected from 2015 to 2015; Data collected from 2017 to 2017","title":"Non-native plant species GIS data from Cyprus Sovereign Base Areas, October 2015 and March 2017","topic":["0/Invasive species/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Reading","Centre for Ecology & Hydrology","The James Hutton Institute"],"authorFamilyName":["Garratt","Carvell","Hawes","Potts"],"authorFullName":["Garratt, M.P.D.","Carvell, C.","Hawes, C.","Potts, S.G."],"authorGivenName":["M.P.D","C.","S.G."],"authorRor":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains data on insects observed visiting flowers of three crops (apples, field beans and oilseed rape) and responses by recorders to a questionnaire asking about their experience carrying out pollinator surveys. Data from thirteen flowering crop fields was collected by teams based at the University of Reading and the James Hutton Institute in Scotland. Data was collected by different recorders, some of whom were novice data collectors, experienced researchers or farmers and agronomists. Recorders were asked to implement three methods: pan trapping, transect walking and/or hand pollination and plant bagging. Transects involved walking a 50m transect recording floral visitors to crop flowers within a 1m squared moving observation widow next to the recorder. Pan trapping involved placing out three coloured water trap arrays along a 50m transect and then recording what flying insects were caught in the water traps at the end of the survey. Hand pollination and plant bagging involved putting mesh bags over flowers to exclude visitation by insects, hand pollinating crop flowers and counting and marking flowers with cable ties. Data were collected between April and July 2015 from sites across the UK.","documentType":"GEMINI_DOCUMENT","familyName":["Garratt","Carvell","Hawes","Potts"],"fullName":["Garratt, M.P.D.","Carvell, C.","Hawes, C.","Potts, S.G.","Garratt, M."],"givenName":["M.P.D","C.","S.G.","Michael"],"identifier":"5822900b-3af4-4bb9-a2d6-0b5d384e2a3c","incomingCitationCount":0,"keyword":["Pollinators","Bombus terrestris","Bombus lucorum","Bombus hortorum","Bombus pratorum","Bombus pascuorum","Andrena sp.","Brassica napus"],"keywordsOther":["Bombus terrestris","Bombus lucorum","Bombus hortorum","Bombus pratorum","Bombus pascuorum","Andrena sp.","Brassica napus"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Recorders were given a detailed written transect protocols to follow and were a mixture of novice data collectors, experienced researchers or farmers and agronomists. Data are provided as recorded.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:06:48.000Z","organisation":["University of Reading","Centre for Ecology & Hydrology","The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c","10.5285/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c","doi:10.5285/5822900b-3af4-4bb9-a2d6-0b5d384e2a3c"],"resourceType":"Dataset","ror":["https://ror.org/05v62cm79","https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains data on insects observed visiting flowers of three crops (apples, field beans and oilseed rape) and responses by recorders to a questionnaire asking about their experience carrying out pollinator surveys. Data from thirteen flowering crop fields…","state":"published","temporalExtentText":"Data collected from 2015 to 2015","title":"Pollinator and pollination service data from the National Pollinator and Pollination Monitoring Framework pilot study from 13 UK crop field sites 2015","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorGivenName":["I.D.","H.","S.C."],"authorOrcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"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 2012 and 2015 inclusive. This dataset has been used in various publications, please see supporting documentation for more detail.","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr","Maberly"],"fullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"givenName":["I.D.","H.","S.C.","Heidrun"],"identifier":"8eab30af-25b4-4ac2-a470-411df9749464","incomingCitationCount":0,"keyword":["Lake District ","England","temperature profile ","meteorological data","lake ","freshwater"],"keywordsOther":["lake ","freshwater"],"keywordsPlace":["Lake District ","England"],"keywordsTheme":["temperature profile ","meteorological data"],"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 2012 to 2015. See supporting documentation for further information. Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed.","locations":["POLYGON((-2.986 54.393, -2.986 54.399, -2.971 54.399, -2.971 54.393, -2.986 54.393))"],"metadataDate":"2026-09-15T08:36:43.000Z","orcid":["0000-0002-6898-1429","0000-0002-2028-4843","0000-0003-3541-5903"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8eab30af-25b4-4ac2-a470-411df9749464","10.5285/8eab30af-25b4-4ac2-a470-411df9749464","doi:10.5285/8eab30af-25b4-4ac2-a470-411df9749464"],"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 2012 to 2015","title":"Data from automatic water monitoring buoy from Blelham Tarn, 2012 to 2015","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2019 20m classified pixels dataset.  All further LCM2019 datasets for Great Britain are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"44c23778-4a73-4a8f-875f-89b23b91ecf8","incomingCitationCount":8,"keyword":["Great Britain","UK-SCAPE","Land Cover Maps","Land cover","Mapping","Vector","LCM2019"],"keywordsOther":["Vector","LCM2019"],"keywordsPlace":["Great Britain"],"keywordsProject":["UK-SCAPE","Land Cover Maps"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T10:06:07.000Z","orcid":["0000-0003-3947-6463","0000-0002-2070-2187","0000-0003-3591-1034","0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/44c23778-4a73-4a8f-875f-89b23b91ecf8","10.5285/44c23778-4a73-4a8f-875f-89b23b91ecf8","doi:10.5285/44c23778-4a73-4a8f-875f-89b23b91ecf8"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This…","state":"published","temporalExtentText":"Data collected from 2019 to 2019","title":"Land Cover Map 2019 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","shar1"]},{"availability":"Available","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This view service displays Environmental Zones which are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C.M."],"givenName":["C.M."],"identifier":"8707816a-0fe4-40f0-96ba-7ec0136d1c73","incomingCitationCount":0,"keyword":["Mapping","infoMapAccessService","ITE Land Class"],"keywordsOther":["infoMapAccessService","ITE Land Class"],"keywordsTheme":["Mapping"],"licence":"Non-Open government licence","lineage":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-12T11:59:16.000Z","organisation":["Centre for Ecology & Hydrology","Parr Section","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-10-04T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["1380873039607","CEH:EIDC::1380873039607","https://catalogue.ceh.ac.uk/id/8707816a-0fe4-40f0-96ba-7ec0136d1c73"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This view service displays Environmental Zones which are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are…","state":"published","title":"Countryside Survey Environmental Zones View Service","topic":["0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","description":"A wide range of data have been collected from Loch Leven, a large shallow lake in Scotland, since monitoring began in 1968. These include chemical, biological and physical variables. These data have been collected by the UK Centre for Ecology & Hydrology, including its predecessor bodies, and its collaborative partners.","documentType":"GEMINI_DOCUMENT","identifier":"ac973b0d-2c99-4e00-8931-22aa0881006d","incomingCitationCount":0,"keyword":["Loch leven"],"keywordsOther":["Loch leven"],"licence":"Non-Open government licence","lineage":"Loch leven data collection","locations":["POLYGON((-3.43 56.173, -3.43 56.227, -3.313 56.227, -3.313 56.173, -3.43 56.173))"],"metadataDate":"2026-07-25T13:22:32.000Z","organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ac973b0d-2c99-4e00-8931-22aa0881006d"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"A wide range of data have been collected from Loch Leven, a large shallow lake in Scotland, since monitoring began in 1968. These include chemical, biological and physical variables. These data have been collected by the UK Centre for Ecology & Hydrology, including…","state":"published","title":"Long term monitoring data from Loch Leven, Scotland","version":1.0,"view":["public","jualob"]},{"authorAffiliation":["University of Exeter","University of the Arts London"],"authorFamilyName":["Parker","Lewis","Hassan","Smik","Galloway"],"authorFullName":["Parker, B.","Lewis, C.","Hassan, M.","Smik, L.","Galloway, T."],"authorGivenName":["Ben","Ceri","Mahbub","Lukas","Tamara"],"authorOrcid":["0000-0001-6731-7852","0000-0002-3564-2906","0000-0002-4120-6094","0000-0002-7466-6775"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/04cnfrn26"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This resource contains data on the toxicity and environmental risk of bio-based (\"natural\") and petroleum-based (\"plastic\") sequins with the aim of assessing the toxicity of these materials. Data include the toxicity for sequin particles, sequin leachates, sequin additives and a reference toxicant, changes in mass after a leaching process (degradation) and metal concentrations in both the sequins and their leachates. Toxicity was assessed using OECD (Organisation for Economic Co-operation and Development) 48 h Daphnia magna immobilisation assays with four replicates each of five individuals for five experimental concentrations and a control. Leaching was carried out using an incubator (INFORS HT Multitron incubator shaker) and metal concentrations were assessed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS:  PerkinElmer NexION 5000, Shelton, Connecticut, USA). Please refer to the associated open access publication for additional details.","documentType":"GEMINI_DOCUMENT","familyName":["Parker","Lewis","Hassan","Smik","Galloway"],"fullName":["Parker, B.","Lewis, C.","Hassan, M.","Smik, L.","Galloway, T.","Ben Parker"],"funder":["Natural Environment Research Council"],"givenName":["Ben","Ceri","Mahbub","Lukas","Tamara"],"grant":["NE/Y003985/1"],"identifier":"a00a641c-c43d-4c03-8b72-3b0c799e2442","incomingCitationCount":0,"keyword":["Environmental risk","Bioplastics","Sustainability","textile","plastic","metal","ecotoxicology","aquatic ecosystem"],"keywordsOther":["Bioplastics","Sustainability","textile","plastic","metal","ecotoxicology","aquatic ecosystem"],"keywordsTheme":["Environmental risk"],"licence":"Open government licence","lineage":"Data were collected for five bio based sequins and eleven petroleum-based sequins sourced from an industry partner and University of the Arts London.\n\nMaterial sheets were punched to produce 8 mm diameter circular sequins, these were weighed (1.Sequin_masses) and subject to a leaching process to assess the change in mass after a 7 d leaching process (2.Sequin_mass_changes).\n\nThe toxicity of cryoground sequin particles, sequin leachates and additives to Daphnia magna was determined alongside procedural blanks and controls (3.Sequin_toxicity_data).\n\nFinally, Inductively Coupled Plasma Mass Spectrometry was used to assess the concentrations of 15 metals within the sequin leachates (4.Sequin_leached_metals) and for acidified sequins (5.Sequin_digested_metals) including procedural blanks and standards.\n\nPlease refer to the associated manuscript for additional details","metadataDate":"2026-08-11T09:36:48.000Z","orcid":["0000-0001-6731-7852","0000-0002-3564-2906","0000-0002-4120-6094","0000-0002-7466-6775"],"organisation":["University of Exeter","University of the Arts London","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-08-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a00a641c-c43d-4c03-8b72-3b0c799e2442","10.5285/a00a641c-c43d-4c03-8b72-3b0c799e2442","doi:10.5285/a00a641c-c43d-4c03-8b72-3b0c799e2442"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04cnfrn26","https://ror.org/04xw4m193"],"shortenedDescription":"This resource contains data on the toxicity and environmental risk of bio-based (\"natural\") and petroleum-based (\"plastic\") sequins with the aim of assessing the toxicity of these materials. Data include the toxicity for sequin particles, sequin leachates, sequin additives…","state":"published","title":"Aquatic toxicity, degradation and metal concentrations of bio-based and petroleum-based sequins","topic":["0/Environmental risk/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","York University"],"authorFamilyName":["Hunt","Pocock","Goodwin","Bowler","Hill","Cunningham","White","Beale","Maskell"],"authorFullName":["Hunt, M.L.","Pocock, M.J.O.","Goodwin, C.E.D.","Bowler, D.E.","Hill, J.K.","Cunningham, C.A.","White, P.C.L.","Beale, C.M.","Maskell, L.C."],"authorGivenName":["M.L.","M.J.O.","C.E.D.","D.E.","J.K.","C.A.","P.C.L.","C.M.","L.C."],"authorOrcid":["0000-0003-4435-3644","0000-0003-4375-0445","0000-0003-0093-9838","0000-0002-7775-1668","0000-0003-1871-7715","0000-0001-7292-3144","0000-0002-7496-5775","0000-0002-2960-5666","0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05fq50484"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a Treescape typology for Great Britain (1km resolution). The dataset brings together data reflecting quantity, quality, configuration, productivity and management of woodlands and other woody features in the landscape along with additional geo-physical variables to provide environmental context. The typology was derived by data-driven machine learning, through Self-Organised Maps and this dataset presents the optimum number of stable clusters from the typology analysis. The typology represents the situation in 2018; this was the most recent year for which all key woody-feature datasets were consistently available across Great Britain.\n\nThis dataset was generated to provide the first consistent, data‑driven classification of treescapes across Great Britain. Treescapes comprise the full range of woody features in rural and urban landscapes - including ancient or naturalised woodlands, plantations, hedgerows, lines of trees, orchards, wood pasture, agroforestry, woodlots and individual trees. Treescapes describe not only tree cover but reflect the visual and ecological arrangement of all trees in a landscape; the spatial configuration, density, species mix, aesthetic value, cultural and historic interactions. Existing products map woodland extent or tree cover, but currently we lack a consistent way of describing and classifying these treescapes, limiting our ability to understand how different woody features combine to shape ecosystem functions and benefits; this dataset was created to address this issue.","documentType":"GEMINI_DOCUMENT","familyName":["Hunt","Pocock","Goodwin","Bowler","Hill","Cunningham","White","Beale","Maskell"],"fullName":["Hunt, M.L.","Pocock, M.J.O.","Goodwin, C.E.D.","Bowler, D.E.","Hill, J.K.","Cunningham, C.A.","White, P.C.L.","Beale, C.M.","Maskell, L.C.","Merryn Hunt"],"funder":["Natural Environment Research Council"],"givenName":["M.L.","M.J.O.","C.E.D.","D.E.","J.K.","C.A.","P.C.L.","C.M.","L.C.","Merryn"],"grant":["NE/V020226/1","NE/V02020X/1"],"identifier":"63e28ccb-465a-4c56-85b6-fd95ef67c28f","incomingCitationCount":0,"keyword":["Biodiversity","Ecosystem services","Land cover","Land use","woodland","self-organising maps","machine learning","natural capital","tree","forestry","landscape"],"keywordsOther":["woodland","self-organising maps","machine learning","natural capital","tree","forestry","landscape"],"keywordsTheme":["Biodiversity","Ecosystem services","Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The GB Treescape Typology was created by integrating 45 variables from 11 openly available national datasets describing woodland extent, tree cover, woody linear features, vegetation productivity, woodland management and environmental context across Great Britain. These datasets were harmonised to a 1 km grid, and additional metrics - such as patch area, cohesion, aggregation index and nearest‑neighbour distances - were derived from 25 m land cover data using FRAGSTATS. Vegetation indices (NDVI, NDMI, GRVI) were generated from Sentinel‑2 monthly composites in Google Earth Engine, with non‑woodland areas masked out. All variables were normalised before classification. \n\nA treescape typology was then produced using Self‑Organising Maps (SOMs), with 1000 iterations run to ensure stability. Nodes were matched across iterations using hierarchical clustering, and each grid cell was assigned to the node it most frequently belonged to. Quality assurance included testing woodland cover thresholds, assessing Euclidean distances to cluster centroids, and removing overly dominant contextual variables. The final product is a stable 14‑class typology representing the structure, composition and configuration of treescapes across GB.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-28T12:21:21.000Z","orcid":["0000-0003-4435-3644","0000-0003-4375-0445","0000-0003-0093-9838","0000-0002-7775-1668","0000-0003-1871-7715","0000-0001-7292-3144","0000-0002-7496-5775","0000-0002-2960-5666","0000-0003-4006-7755"],"organisation":["UK Centre for Ecology & Hydrology","York University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/63e28ccb-465a-4c56-85b6-fd95ef67c28f","10.5285/63e28ccb-465a-4c56-85b6-fd95ef67c28f","doi:10.5285/63e28ccb-465a-4c56-85b6-fd95ef67c28f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05fq50484","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a Treescape typology for Great Britain (1km resolution). The dataset brings together data reflecting quantity, quality, configuration, productivity and management of woodlands and other woody features in the landscape along with additional geo-physical…","state":"published","supplementalName":["Connected Treescapes website"],"temporalExtentText":"Data collected from 2018 to 2018","title":"Treescape typology at 1km resolution, Great Britain, 2018","topic":["0/Biodiversity/","0/Ecosystem services/","0/Land cover/","0/Land use/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Sustainable Agriculture Sciences, Rothamsted Research","School of Natural Sciences","School of Civil, Aerospace and Mechanical Engineering","UWA School of Agriculture and Environment","School of Geography, Geology and the Environment"],"authorFamilyName":["Charteris","Harris","Marsden","Guo","Beaumont","Taylor","Sanfratello","Jones","Johnson","Whelan","Howden","Sint","Chadwick","Cárdenas"],"authorFullName":["Charteris, A.F.","Harris, P.","Marsden, K.A.","Harris, I.M.","Guo, Z.","Beaumont, D.A.","Taylor, H.","Sanfratello, G.","Jones, D.L.","Johnson, S.C.M.","Whelan, M.J.","Howden, N.","Sint, H.","Chadwick, D.R.","Cárdenas, L.M."],"authorGivenName":["A.F.","P.","K.A.","I.M.","Z.","D.A.","H.","G.","D.L.","S.C.M.","M.J.","N.","D.R.","L.M."],"authorOrcid":["0000-0003-2748-4677","0000-0003-0259-4079","0000-0002-0605-3918","0000-0002-1482-4209","0000-0002-1889-954X","0000-0002-8479-8157","0000-0002-4401-9163"],"authorRor":["https://ror.org/0347fy350","https://ror.org/006jb1a24","https://ror.org/0524sp257","https://ror.org/047272k79","https://ror.org/04h699437"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data pertains to a single time point 'snapshot' spatial sampling of site characteristics, soil parameters and soil greenhouse gas emissions for two sites (Extensive and Intensive). The extensively managed site ('Extensive'; 240-340 m above sea level; a.s.l.) consisted of an 11.5 ha semi-improved, sheep-grazed pasture at Bangor University's Henfaes Research Station, Abergwyngregyn, North Wales (53°13'13''N, 4°0'34''W). The intensively managed site ('Intensive'; on average 160 m a.s.l.) was a 1.78 ha sheep-grazed pasture located in south-west England, at the North Wyke Farm Platform (NWFP), Rothamsted Research, Okehampton, Devon (50°46'10''N, 30°54'05''W). At the Extensive site soil and gas sampling was conducted on 30th November 2016. At the Intensive site soil and gas sampling was conducted on 1st August 2016. The data contains: site characteristics including elevation, slope, compound topographic index, vegetation type or manure application, and sample point grid references; soil parameters including soil bulk density, soil percentage water-filled pore space, soil moisture,  soil organic matter contents, soil pH, soil nitrate nitrogen concentration, soil ammonium nitrogen concentration, soil percentage total carbon contents, soil percentage total nitrogen contents, and carbon to nitrogen content ratio; and soil greenhouse gas flux data for nitrous oxide, carbon dioxide and methane. The study was conducted as a wider part of the NERC funded Uplands-N2O project and BBSRC-supported Rothamsted Research, North Wyke Farm Platform (Grant Nos: NE/M015351/1, NE/M013847/1, NE/M013154/1, BBS/E/C/000J0100, BBS/E/C/000I0320, BBS/E/C/000I0330). Quantifying the spatial and variability of the drivers of greenhouse gas emissions and their interactions in grazing systems is critical to improve our understanding of nitrous oxide, carbon dioxide and methane fluxes, enabling better estimates of aggregated greenhouse gas emissions and associated uncertainties at the landscape scale.","documentType":"GEMINI_DOCUMENT","familyName":["Charteris","Harris","Marsden","Guo","Beaumont","Taylor","Sanfratello","Jones","Johnson","Whelan","Howden","Sint","Chadwick","Cárdenas"],"fullName":["Charteris, A.F.","Harris, P.","Marsden, K.A.","Harris, I.M.","Guo, Z.","Beaumont, D.A.","Taylor, H.","Sanfratello, G.","Jones, D.L.","Johnson, S.C.M.","Whelan, M.J.","Howden, N.","Sint, H.","Chadwick, D.R.","Cárdenas, L.M."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["A.F.","P.","K.A.","I.M.","Z.","D.A.","H.","G.","D.L.","S.C.M.","M.J.","N.","D.R.","L.M."],"grant":["NE/M013154/1","NE/M013847/1","NE/M015351/1","BBS/E/C/000I0320","BBS/E/C/000I0330","BBS/E/C/000J0100"],"identifier":"f3118fa8-6bec-488b-9713-2415912b8b9e","incomingCitationCount":0,"keyword":["Upland","Lowland","Nitrous oxide","grassland","methane","carbon dioxide","nitrogen oxides"],"keywordsOther":["Upland","Lowland","Nitrous oxide","grassland","methane","carbon dioxide","nitrogen oxides"],"licence":"Open government licence","lineage":"Intensive site. In order to sample the fields rapidly, minimising time differences between sampling points, sampling was conducted by teams of trained researchers (Extensive site, a team of five, sampling 22-24 points each; Intensive site, a team of four, sampling 24-25 points each) following pre-planned sampling routes and standardised sampling protocols. At the Extensive site, the team started by walking their individual assigned routes and placing chamber lids and gas sample vials next to each chamber. Upon all returning to their starting sample points, greenhouse gas sampling commenced (taking place between the hours of 10:40 am and 12:40 pm). Chamber headspaces were mixed by three syringe pumps prior to withdrawing a sample (25 ml) at 0 min and 60 min after chamber lid closure. Samples were injected into pre-evacuated 20 ml glass vials. Vials were over-pressurised as a quality control measure, to ensure sample vials had held their seal, (i.e. vials were returned to atmospheric pressure prior to analysis by inserting a syringe and needle, if the syringe plunger pushed back 5 ml it indicated that the vial had held its seal). At the Intensive site, samples (20 – 22 ml) were withdrawn from the chambers 40 min after lid closure and injected into pre-evacuated 20 ml glass vials. Chamber baseline (0 min) concentrations were approximated by background measurements (n=10, five before chamber sampling and five after) taken by manually sampling the atmosphere 1 m above the ground around the field. Bulk density cores (100 cm3, 0-5 cm at the Extensive site; 0-10 cm at the Intensive site) and soil samples (four 0-5 cm cores (bulked) at the Extensive site; six 2.5 cm-diameter, 0-10 cm cores (bulked) at the Intensive site) were taken from within the chamber areas. Bulk density cores and soil samples were stored in polythene bags in refrigerators (at 4 deg C) prior to analysis. Extensive site soil extractions and pH measurements were conducted within 24 h of sample collection, while analyses for Intensive site samples were completed within five days. \n\nThe Extensive site was not flown as part of the project as 1m LIDAR data were created by the Environment Agency Geomatics group and available under the Open Government Licence from Natural Resources Wales (https://datamap.gov.wales/) . The data therefore contains Natural Resources Wales information, © Natural Resources Wales and database right, all rights reserved (Licence: http://nationalarchives.gov.uk/doc/open-government-licence/version/2/). At the Intensive site, the 1 m LiDAR grid was created by the Tellus South West project (https://catalogue.ceh.ac.uk/documents/b81071f2-85b3-4e31-8506-cabe899f989a). Readers are directed to the supporting documentation for further analytical details and quality control procedures for the measurements undertaken. ","locations":["POLYGON((-4.034 50.768, -4.034 53.243, -3.9 53.243, -3.9 50.768, -4.034 50.768))"],"metadataDate":"2026-07-25T18:05:48.000Z","orcid":["0000-0003-2748-4677","0000-0003-0259-4079","0000-0002-0605-3918","0000-0002-1482-4209","0000-0002-1889-954X","0000-0002-8479-8157","0000-0002-4401-9163"],"organisation":["Sustainable Agriculture Sciences, Rothamsted Research","School of Natural Sciences","School of Civil, Aerospace and Mechanical Engineering","UWA School of Agriculture and Environment","School of Geography, Geology and the Environment","NERC EDS Environmental Information Data Centre","Bangor University","Rothamsted Research"],"publicationDate":"2022-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f3118fa8-6bec-488b-9713-2415912b8b9e","10.5285/f3118fa8-6bec-488b-9713-2415912b8b9e","doi:10.5285/f3118fa8-6bec-488b-9713-2415912b8b9e"],"resourceType":"Dataset","rightsHolder":["Bangor University","Rothamsted Research"],"ror":["https://ror.org/0347fy350","https://ror.org/006jb1a24","https://ror.org/0524sp257","https://ror.org/047272k79","https://ror.org/04h699437","https://ror.org/04xw4m193"],"shortenedDescription":"The data pertains to a single time point 'snapshot' spatial sampling of site characteristics, soil parameters and soil greenhouse gas emissions for two sites (Extensive and Intensive). The extensively managed site ('Extensive'; 240-340 m above sea level; a.s.l.) consisted…","state":"published","temporalExtentText":"Data collected from 2016 to 2016","title":"Single time point sampling of site characteristics, soil parameters and soil greenhouse gas emissions for extensive and intensive sheep-farming sites in North Wales and Devon, 2016","version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Bath"],"authorFamilyName":["Homan"],"authorFullName":["Homan, T."],"authorGivenName":["T."],"authorOrcid":["0009-0004-1664-2849"],"authorRor":["https://ror.org/002h8g185"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge readings at Environment Agency (EA) managed flow gauging stations and at sewage treatment work (STW) effluents. These measurements were taken between 12/08/2022 and 14/09/2022 inclusive. \n\nMeasurements were recorded at multiple river sites, boreholes, and STW effluents. All sites are contained within the catchment area between the Environment Agency gauging stations located at Dorchester and East Stoke i.e., the lower part of the River Frome. In total, 24 monitoring sites exist. \n\nThe data were collected for PhD project “Supporting river water-quality management by high-resolution modelling: a case study in a lowland permeable chalk catchment” awarded to Thomas Homan and funded under GW4 FRESH CDT, supported by the Natural Environment Research Council (Grant NE/R0115241). Water quality data were collected by Thomas Homan (PhD candidate at the University of Bath). Wessex Water Ltd. provided high frequency measurements of ammonium and discharge at their STW sites, borehole water quality measurements, as well as high-frequency nitrate measurements at sites: Louds Mill and East Stoke. The Environment Agency discharge data were provided under the terms of the Open Government Licence.","documentType":"GEMINI_DOCUMENT","familyName":["Homan"],"fullName":["Homan, T."],"funder":["Natural Environment Research Council"],"givenName":["T."],"grant":["NE/R011524/1"],"identifier":"ccaf2871-1a1a-4cb4-aadf-883fb984a90f","incomingCitationCount":0,"keyword":["grab samples","River Frome","Dorset","Water quality","Environmental survey","chalk stream","river discharge","sensor","river flow"],"keywordsInstrument":["grab samples"],"keywordsOther":["chalk stream","river discharge","sensor","river flow"],"keywordsPlace":["River Frome","Dorset"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Non-Open government licence","lineage":"Data from four deployed YSI EXO2 sondes, provided as part of Meteor Communications Ltd.’s Water Quality as a Service (WQaaS), were downloaded from the MeteorCloud secure web portal. EXO3 sonde data were downloaded in the field from the sensor’s internal storage. Wessex Water Ltd. provided 30-minute NO3-N data, measured at Louds Mill and East Stoke using Hach Nitratax eco sc UV sensors (pathlength 5 mm, accuracy ± 5 %); grab sample results from their quality assured Scientific Centre; and high-frequency sewage effluent discharge data. Environment Agency (EA) hydrology data were downloaded from the online EA hydrology data explorer.\nAll data were collated into one dataset and data wrangling and cleaning were performed in R statistical programming software. Only outliers that could be explained were removed from the dataset. Grab samples were used to spot-check the quality of the continuous data. ","locations":["POLYGON((-2.457 50.668, -2.457 50.735, -2.16 50.735, -2.16 50.668, -2.457 50.668))"],"metadataDate":"2026-07-25T14:05:55.000Z","orcid":["0009-0004-1664-2849"],"organisation":["University of Bath","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ccaf2871-1a1a-4cb4-aadf-883fb984a90f","10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f","doi:10.5285/ccaf2871-1a1a-4cb4-aadf-883fb984a90f"],"resourceType":"Dataset","rightsHolder":["University of Bath"],"ror":["https://ror.org/002h8g185","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains high-frequency water quality measurements taken at multiple sites in the River Frome catchment area, Dorset, UK. Water quality data consists of a mixture of 30-min sensor readings and frequent grab samples. Also included are high-frequency discharge…","state":"published","temporalExtentText":"Data collected from 2022 to 2022","title":"High-resolution water quality data from the River Frome catchment, Dorset, UK, August-September 2022","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["NIRAS Group UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow"],"authorFamilyName":["Stolpmann","Balke","Bass","Roberts"],"authorFullName":["Stolpmann, L.","Balke, T.","Bass, A.","Roberts, K."],"authorGivenName":["Lea","Thorsten","Adrian","Kenny"],"authorOrcid":["0000-0003-4251-9532","0000-0001-7733-5069","0000-0003-3982-6582"],"authorRor":["https://ror.org/033n9gh91","https://ror.org/00vtgdb53"],"availability":"Embargoed","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data include sediment grain size, sediment carbon content and carbon stable isotope analysis, collected at Charlotte Harbor Florida (two sites) in August 2022, and in the Mekong Delta, Vietnam (Ca Mau, Kien Giang and Soc Trang) from 24-08-2022 to 09-09-2022. Data were collected to determine if sediment characteristics and sediment to atmosphere CO2 flux at mangrove coastlines is different depending on the erosional or accretional state of the site.","documentType":"GEMINI_DOCUMENT","familyName":["Stolpmann","Balke","Bass","Roberts"],"fullName":["Stolpmann, L.","Balke, T.","Bass, A.","Roberts, K.","Lea Stolpmann"],"funder":["Natural Environment Research Council"],"givenName":["Lea","Thorsten","Adrian","Kenny"],"grant":["NE/S008926/1"],"identifier":"086a5b43-7fdb-430a-9202-2eeef4649456","incomingCitationCount":0,"keyword":["Hydrology","Soil","Climate and climate change","Environmental survey","CO2 flux","Mangrove","Florida","Erosion","Soil organic carbon","Grain size","Charlotte Harbor","United States","Mekong Delta","Vietnam"],"keywordsOther":["CO2 flux","Mangrove","Florida","Erosion","Soil organic carbon","Grain size","Charlotte Harbor","United States","Mekong Delta","Vietnam"],"keywordsTheme":["Hydrology","Soil","Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Sediment to atmosphere CO2 flux measured with Licor gas analyser (LI-850) with gas equilibration chamber.\n\nSediment cores were taken with an auger. Sediment was processed for grain size analysis, carbon stable isotope ratio (d13C), carbon content (total, organic, inorganic).  \n\nReplicate measurements were taken at multiple distances away from the vegetation edge.\n\nCalculation of CO2 efflux ((g m-2 hr-1) calculated with polynomial regression, fitted to the initial increase in CO2 concentration)\n\nSediment grain size analysis, carbon content analysis, carbon stable isotope analysis.\nCarbon analysis with Picarro cavity ring-down spectrometer - included blank samples and calibration samples\n\nLinear regression rate (m) calculated with DSAS v5.1","locations":["POLYGON((-82.043 8.471, -82.043 26.978, 130 26.978, 130 8.471, -82.043 8.471))"],"metadataDate":"2026-08-12T10:24:23.000Z","orcid":["0000-0003-4251-9532","0000-0001-7733-5069","0000-0003-3982-6582"],"organisation":["NIRAS Group UK","Carl von Ossietzky Universität Oldenburg","University of Glasgow","NERC EDS Environmental Information Data Centre","Newcastle University"],"publicationDate":"2026-05-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/086a5b43-7fdb-430a-9202-2eeef4649456","10.5285/086a5b43-7fdb-430a-9202-2eeef4649456","doi:10.5285/086a5b43-7fdb-430a-9202-2eeef4649456"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/033n9gh91","https://ror.org/00vtgdb53","https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"Data include sediment grain size, sediment carbon content and carbon stable isotope analysis, collected at Charlotte Harbor Florida (two sites) in August 2022, and in the Mekong Delta, Vietnam (Ca Mau, Kien Giang and Soc Trang) from 24-08-2022 to 09-09-2022. Data were…","state":"published","supplementalDescription":["Stolpmann, L. M. M. (2024). Intertidal wetland sediment carbon budgets along eroding and prograding coasts [PhD, University of Glasgow]","An additional riverine carbon dataset is available. This includes dissolved organic and inorganic carbon, particulate organic carbon, total dissolved nitrogen and the stable isotope values of POC and DIC from 23 sites across two monsoon cycles. Data were collected in the pre-monsoon, post-monsoon, and monsoon periods."],"temporalExtentText":"Data collected from 2022 to 2022","title":"Sediment to atmosphere CO2 flux and soil characteristics at geomorphically different mangrove sites in the Mekong Delta, Vietnam, and Charlotte Harbor, Florida, USA, 2022","topic":["0/Hydrology/","0/Soil/","0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Moody"],"authorFullName":["Moody, C.S."],"authorGivenName":["C.S."],"authorOrcid":["0000-0002-0371-7416"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset shows the results of water chemistry and organic matter composition analysis, from water samples collected from surface waters in the UK and Faroe Islands. The water samples were collected from 2018-2020. ","documentType":"GEMINI_DOCUMENT","familyName":["Moody"],"fullName":["Moody, C.S.","Moody, C."],"funder":["Natural Environment Research Council","European Union"],"givenName":["C.S.","Cat"],"grant":["NE/R013365/1","730938"],"identifier":"81893731-75e4-45f3-bd6a-098208cf818c","incomingCitationCount":0,"keyword":["Environmental survey","hydrogen","oxygen","carbon","nitrogen","absorbance","cation","elemental content","water chemistry","headwater","stream","peat pool","reservoir","lake"],"keywordsOther":["hydrogen","oxygen","carbon","nitrogen","absorbance","cation","elemental content","water chemistry","headwater","stream","peat pool","reservoir","lake"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"This experiment was devised in 2018 and the water samples were collected during 2018 – 2020. The water samples were analysed for various water chemistry parameters within 3 months of collection.  Samples were stored in the fridge at 4 degrees. Organic matter was extracted by filtration and rotary evaporation within 3 months of collection and analysed for elemental composition within 3 months of extraction. \nLab analysis QA steps: 10% of all samples are analysed in a replicate. All equipment is calibrated at the beginning of a run and with multiple checks throughout. \nData analysis QA steps: all replicate data are compared, and if within 95% of each other, an average value is used. If the replicates were different, the samples were re-analysed. \nOnce CHNO content had been calculated, restrictions were placed on derived metrics based on physical properties (e.g. bonding). \n","locations":["POLYGON((-8.648 49.864, -8.648 62.975, 0.747 62.975, 0.747 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:36:11.000Z","orcid":["0000-0002-0371-7416"],"organisation":["University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-03-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81893731-75e4-45f3-bd6a-098208cf818c","10.5285/81893731-75e4-45f3-bd6a-098208cf818c","doi:10.5285/81893731-75e4-45f3-bd6a-098208cf818c"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset shows the results of water chemistry and organic matter composition analysis, from water samples collected from surface waters in the UK and Faroe Islands. The water samples were collected from 2018-2020. ","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Water chemistry and organic matter composition in UK and Faroe Island surface waters, 2018-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"altTitle":["LOCAR baseline datasets"],"availability":"Unknown","catalogue":"eidc","description":"The Lowland Catchment Research (LOCAR) Programme field monitoring datasets provide a comparable baseline across three groundwater-dominated catchments, the Frome and Piddle in Dorset, the Pang and Lambourn in Berkshire and the Tern in Shropshire. LOCAR was a £10 million research programme which ran from 2000 to 2006, funded by the Natural Environment Research Council with additional funding from Defra, the Environment Agency and the Joint Infrastructure Fund. LOCAR brought together a multidisciplinary team of around 75 scientists and students, from 14 institutions in 12 major interdisciplinary projects. LOCAR's aim was to improve the science needed to support the management of permeable lowland catchments through an integrated and multi-disciplinary experimental and modelling programme. The two principal objectives were: one, to develop an improved understanding of hydrological, hydrogeological, geomorphological and ecological interactions within permeable catchment systems, and their associated aquatic habitats, at different spatial and temporal scales and for different land uses and two, to develop improved modelling, database and GIS tools to inform and support the integrated management of lowland catchment systems. The hydrological field monitoring included the following datasets which are available for download: Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rivers; Continuous measurements of conductivity, dissolved oxygen, pH, temperature and water level in rivers; Field measurements of alkalinity, chloride-ion, conductivity, pH and nutrients in rainwater; Continuous measurements of rainfall; and Continuous measurements of meteorological parameters. Supporting documentation provides information on the background to the LOCAR Programme, the sites where the data were gathered, the determinands being measured, how they were collected and analysed and the quality of the data.","documentType":"GEMINI_DOCUMENT","identifier":"db9f6ef9-9512-4f39-aca3-3c55f51a7487","incomingCitationCount":0,"keyword":["Climate and climate change","Water quality"],"keywordsOther":["Climate and climate change","Water quality"],"licence":"Open government licence","lineage":"Various quality control and data quality procedures were used during the project. Each of these is detailed in the supporting documentation available for each downloadable dataset.","locations":["POLYGON((-3 50.5, -3 53.2, -0.8 53.2, -0.8 50.5, -3 50.5))"],"metadataDate":"2026-07-25T14:23:18.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-11-05T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["1426780685036","CEH:EIDC::1426780685036","https://catalogue.ceh.ac.uk/id/db9f6ef9-9512-4f39-aca3-3c55f51a7487"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Lowland Catchment Research (LOCAR) Programme field monitoring datasets provide a comparable baseline across three groundwater-dominated catchments, the Frome and Piddle in Dorset, the Pang and Lambourn in Berkshire and the Tern in Shropshire. LOCAR was a £10 million…","state":"published","temporalExtentText":"Data collected from 2002 to 2007","title":"The Lowland Catchment Research (LOCAR) Programme field monitoring datasets","version":1.0,"view":["public","cit"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Maslanka","Morrison","White"],"authorFullName":["Maslanka, W.M.","Morrison, K.","White, K."],"authorGivenName":["W.M.","K."],"authorOrcid":["0000-0002-1777-733X","0000-0002-8075-0316","0000-0002-4328-8185"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation.\n\nRadar backscatter was normalised to 40 incidence angle, using a novel monthly normalisation parameterisation.","documentType":"GEMINI_DOCUMENT","familyName":["Maslanka","Morrison","White"],"fullName":["Maslanka, W.M.","Morrison, K.","White, K.","Maslanka, W."],"funder":["Natural Environment Research Council"],"givenName":["W.M.","K.","William"],"grant":["NE/R004668/1"],"identifier":"b23d63d1-dcc5-4c49-a6b5-67154f3739b7","incomingCitationCount":0,"keyword":["River Thames","Soil","Sentinel-1","Change Detection","soil moisture"],"keywordsOther":["Sentinel-1","Change Detection","soil moisture"],"keywordsPlace":["River Thames"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Sentinel-1 IWGRDH data (VV Pol) went through the following processing steps:\n•\tExtraction\n•\tOrbital Correction\n•\tThermal and Border Noise Removal\n•\tCalibration\n•\tSpeckle Filtering (Refined Lee)\n•\tTerrain Correction\n•\tConversion to dB\n•\tSubsetting\n•\tLook Incidence Angle Normalisation\n•\tDynamic Masking (removing anomolus data)\n•\tSpatial Averaging to 100m resolution\n•\trSSM Calculation\nFull explanation of lineage and methodology can be found here: 10.1109/TGRS.2022.3175256\n","locations":["POLYGON((-2.22 51.15, -2.22 52.22, -0.57 52.22, -0.57 51.15, -2.22 51.15))"],"metadataDate":"2026-07-25T12:53:59.000Z","orcid":["0000-0002-1777-733X","0000-0002-8075-0316","0000-0002-4328-8185"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b23d63d1-dcc5-4c49-a6b5-67154f3739b7","10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7","doi:10.5285/b23d63d1-dcc5-4c49-a6b5-67154f3739b7"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/04xw4m193","https://ror.org/05v62cm79"],"shortenedDescription":"This dataset includes relative surface soil moisture across the Thames Valley, between October 2015 and September 2021, using backscatter radar data collected using the ESA Sentinel-1 Constellation.\n\nRadar backscatter was normalised to 40 incidence angle, using a novel…","state":"published","supplementalDescription":["W. Maslanka, K. Morrison, K. White, A. Verhoef and J. Clark, \"Retrieval of Sub-Kilometric Relative Surface Soil Moisture With Sentinel-1 Utilizing Different Backscatter Normalization Factors,\" in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-13, 2022, Art no. 4410613","Monitoring Relative Surface Soil Moisture Using Sentinel-1 Across\nthe River Thames Catchment, William Maslanka, Keith Morrison, Kevin White, Anne Verhoef  and Joanna Clark. "],"temporalExtentText":"Data collected from 2015 to 2021","title":"Relative surface soil moisture for the Thames Valley, United Kingdom, October 2015 to September 2021","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wilkinson","Wood"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wilkinson, M.","Wood, C."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorOrcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Meteorology data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include albedo (ground and sky), temperature (dry bulb, wet bulb and soil (at 10cm and 30cm)), relative humidity, radiation (net. and solar), rainfall, surface wetness, soil moisture, wind direction and wind speed. These data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. They represent continuous hourly records from 1991 to 2015. ECN is the UK's long-term environmental monitoring programme. It 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","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Eaton","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McCarney","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wilkinson","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Eaton, E.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McCarney, B.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wilkinson, M.","Wood, C.","UK Environmental Change Network"],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","E.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5","incomingCitationCount":5,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental survey","Rainfall","Temperature","Wind speed","Wind Direction","Soil Temperature","Climate","Climatic","Atmosphere","Sunshine","weather","meteorology","atmospheric precipitation","soil water","albedo","solar radiation","rain"],"keywordsOther":["Rainfall","Temperature","Wind speed","Wind Direction","Soil Temperature","Climate","Climatic","Atmosphere","Sunshine","weather","meteorology","atmospheric precipitation","soil water","albedo","solar radiation","rain"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected by Automatic Weather Stations at all of ECN's terrestrial sites using a standard protocol. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:41:47.000Z","orcid":["0000-0002-0027-0436","0000-0003-2428-272X","0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-11-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5","10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5","doi:10.5285/fc9bcd1c-e3fc-4c5a-b569-2fe62d40f2f5"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Meteorology data from the UK Environmental Change Network (ECN) terrestrial sites. Variables measured include albedo (ground and sky), temperature (dry bulb, wet bulb and soil (at 10cm and 30cm)), relative humidity, radiation (net. and solar), rainfall, surface wetness,…","state":"published","temporalExtentText":"Data collection started in 1991","title":"UK Environmental Change Network (ECN) meteorology data: 1991-2015","topic":["0/Environmental survey/"],"version":1.0,"view":["public","kath","srennie"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Sowerby","Emmett"],"authorFullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"authorGivenName":["S.","A.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains soil respiration data from the Climoor fieldsite in Clocaenog forest, north-east Wales. Measurements began in March 1999 at the field site, and were repeated in approximately bi-weekly intervals until June 2015 (although there are some larger gaps for technical or logistical reasons in this 14 year dataset). The data were collected using 3 different methods/machines over the years: static chambers, soil respiration chamber and Environmental Gas Monitor (EGM)-4 (from PP Systems), and soil respiration chamber and Automated Soil Gas Flux System Li8100 (from Licor Biosciences). The method used is detailed in the data and described further in the supporting documentation. Data was collected by CEH staff and PhD students trained in the use of the different methods / machines. Climoor is a climate change manipulation experiment that utilises automated roof technology to produce drought and warming experimental treatments that reflect climate change predictions for the next 20-30 years.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Sowerby","Emmett"],"fullName":["Reinsch, S.","Sowerby, A.","Emmett, B.A."],"givenName":["S.","A.","B.A."],"identifier":"c0822023-0ec2-425f-8bf9-a546ce281ee0","incomingCitationCount":1,"keyword":["Soil","respiration","biogeochemistry","soil respiration","soil"],"keywordsOther":["respiration","biogeochemistry","soil respiration","soil"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Three soil collars were installed per plot (5-10cm into the soil) in the plots in 1999. Any above-ground plan growth within the collars was removed on a regular basis. A soil respiration chamber connected to an EGM-4 from PP Systems was used prior to 2008, here data were downloaded from the EGM, and converted from the units provided (gCO2 m-2 hr-1) into mg CO2-C m-2 hr-1. From 2008, a survey soil respiration chamber and Li-8100 (Licor biosciences) were used. Data was downloaded from the Li-8100 into a raw data file. Within the raw data file linearity of the measurement was checked visually using the li-8100 software and the checked data was then saved under a separate file name. Following this, data was converted from the units provided (umol/m2/s) to mg CO2-C m-2 hr-1. For all time periods, measrements from the 3 soil collars in each plot were meaned to give an experimental plot average. ","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-07-25T13:59:51.000Z","orcid":["0000-0003-4649-0677","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1439803764062","CEH:EIDC::1439803764062","https://catalogue.ceh.ac.uk/id/c0822023-0ec2-425f-8bf9-a546ce281ee0","10.5285/c0822023-0ec2-425f-8bf9-a546ce281ee0","doi:10.5285/c0822023-0ec2-425f-8bf9-a546ce281ee0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains soil respiration data from the Climoor fieldsite in Clocaenog forest, north-east Wales. Measurements began in March 1999 at the field site, and were repeated in approximately bi-weekly intervals until June 2015 (although there are some larger gaps…","state":"published","temporalExtentText":"Data collected from 1999 to 2013","title":"Fortnightly soil respiration data from Climoor fieldsite in Clocaenog Forest 1999-2015","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"altTitle":["SPEI_IHU_groups"],"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"authorFullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"authorGivenName":["M.","F.","C.","J."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - for a given accumulation period as defined by Vicente-Serrano et al. [2]. SPEI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the general logistic distribution is 1961-2010. The dataset covers the period from 1961 to 2012.\n\n[1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902\n\n[2] Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696 to 1718. https://doi.org/10.1175/2009JCLI2909.1","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Kral","Fry","Svensson","Hannaford"],"fullName":["Tanguy, M.","Kral, F.","Fry, M.","Svensson, C.","Hannaford, J."],"givenName":["Maliko","M.","F.","C.","J."],"identifier":"9b550cc5-4cba-45fb-ab92-8408454fa1d4","incomingCitationCount":0,"keyword":["Hydrology","SPEI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","climatic water balance","drought"],"keywordsOther":["SPEI","indicator","accumulation period","Integrated Hydrological Units","IHU","rainfall extremes","climatic water balance","drought"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"SPEI is calculated as originally defined in Vicente-Serrano et al. [1]. SPEI is based on the cumulative probability of a given Climatic Water Balance (CWB) - which is equivalent to the amount of precipitation minus the amount of evapotranspiration - occurring at a location. The historic CWB data of the station is fitted to a statistical distribution. For this dataset, the statistical distribution used is the generalised logistic distribution. The maximum likelihood method was used to estimate the generalised logistic distribution parameters. To calculate SPEI, the R package SCI was used (Gudmundsson & Stagge [2]). The input data used is the monthly rainfall grids from CEH-Gridded Estimates of Areal Rainfall [CEH-GEAR] (Tanguy et al. [3], Keller et al. [4]) and CHESS potential evapotranspiration dataset (Robinson et al. [5], [6]) which have been area-averaged over each of the Integrated Hydrological Units (IHU) groups(Kral et al. [7]). \n\n[1] Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696-1718. https://doi.org/10.1175/2009JCLI2909.1\n[2] Gudmundsson, L. & Stagge, J. H. (2014). Package 'SCI': Standardized Climate Indices such as SPI, SRI or SPEI. Repository CRAN, http://cran.r-project.org/web/packages/SCI/SCI.pdf\n[3] Tanguy, M., Dixon, H., Prosdocimi, I., Morris, D. G., Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC-Environmental Information Data Centre https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e \n[4] Keller, V. D. J., Tanguy, M. , Prosdocimi, I. , Terry, J. A. , Hitt, O., Cole, S. J. , Fry, M., Morris, D. G., Dixon, H. (2015) CEH-GEAR: 1km resolution daily and monthly areal rainfall estimates for the UK for hydrological use. Earth Syst. Sci. Data Discuss., 8, 83-112 https://doi.org/10.5194/essdd-8-83-2015\n[5] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (in preparation), Trends in evaporative demand in Great Britain using high-resolution meteorological data\n[6] Robinson, E. L., Blyth, E., Clark, D. B., Finch, J., Rudd, A. C. (2015). Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2012) [CHESS-PE]. NERC-Environmental Information Data Centre\n[7] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre https://doi.org/10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.554 61.026, 3.554 49.766, -7.557 49.766))"],"metadataDate":"2026-07-25T10:22:02.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b550cc5-4cba-45fb-ab92-8408454fa1d4","10.5285/9b550cc5-4cba-45fb-ab92-8408454fa1d4","doi:10.5285/9b550cc5-4cba-45fb-ab92-8408454fa1d4"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Evapotranspiration Index (SPEI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPEI is a drought index based on the probability of occurrence of the Climatic Water Balance (CWB) - which is equivalent to the amount of…","state":"published","supplementalDescription":["Vicente-Serrano, S. M., Beguería, S., López-Moreno, J. I. (2010) A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index. J. Climate, 23, 1696 to 1718."],"supplementalName":["CEH droughts portal"],"temporalExtentText":"Data collected from 1961 to 2012","title":"Standardised Precipitation Evapotranspiration Index time series for Integrated Hydrological Units Groups (1961-2012)","topic":["0/Hydrology/"],"version":1.0,"view":["public","malngu","nuri"]},{"authorAffiliation":["University of Reading","The James Hutton Institute","University of Waterloo","Imperial College London"],"authorFamilyName":["Lees","Clark","Quaife","Artz","Khomik","Ritson"],"authorFullName":["Lees, K.J.","Clark, J.M.","Quaife, T.","Artz, R.R.E.","Khomik, M.","Ritson, J."],"authorGivenName":["K.J. ","J.M.","T.","R.R.E.","M.","J."],"authorOrcid":["0000-0001-9254-2103","0000-0002-0412-8824","0000-0001-6896-4613","0000-0002-8462-6558"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/03rzp5127","https://ror.org/01aff2v68","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an annual Temperature, Greenness and Wetness (TGWa) model. \n\nThe laboratory data includes Gross Primary Productivity (GPP) and respiration data from samples of Sphagnum capillifolium and Sphagnum papillosum which were collected from the Forsinard Flows RSPB reserve (Northern Scotland) and subjected to different rainfall simulations, including total drought, in the laboratory. Spectral reflectance of the samples was also measured throughout the experiment, and the vegetation indices calculated are recorded. \n\nThe field data includes carbon fluxes and spectral reflectance measurements, in this case taken from collars located at three sites within the Forsinard Flows Reserve during the main growing season of 2017 (March to September). Associated measurements of temperature, Photosynthetically Active Radiation (PAR), and moisture content were recorded. The species composition of the collars is also given in the data. \n\nThe satellite data include Land Surface Temperature (LST) and Normalised Difference Vegetation Index (NDVI) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) used to develop a TG model over the Forsinard Flows reserve, and the Glencar bog in Ireland. The dataset also includes bands used to calculate the Normalised Difference Water Index (NDWI) to develop the TGWa model. The MODIS data used in the implementation of this model to assess restoration progress, and also upscaling effectiveness, are included in the dataset. \n\nThe work was carried out during a PhD project part-funded by the NERC SCENARIO DTP (Grant number: NE/L002566/1) at the University of Reading, and part-funded by The James Hutton Institute. ","documentType":"GEMINI_DOCUMENT","familyName":["Lees","Clark","Quaife","Artz","Khomik","Ritson"],"fullName":["Lees, K.J.","Clark, J.M.","Quaife, T.","Artz, R.R.E.","Khomik, M.","Ritson, J."],"funder":["Natural Environment Research Council"],"givenName":["K.J. ","J.M.","T.","R.R.E.","M.","J.","K.J."],"grant":["NE/L002566/1"],"identifier":"ab9f47f9-9faf-4403-a57e-25e31f581ed0","incomingCitationCount":2,"keyword":["Sphagnum papillosum","Sphagnum capillifolium"],"keywordsOther":["Sphagnum papillosum","Sphagnum capillifolium"],"licence":"Open government licence","lineage":"In both the field and the laboratory carbon fluxes were recorded using a LICOR-8100 system and custom chambers. The data were processed using the associated LICOR software, and the results individually visually assessed for quality. The flux for each measurement was entered into an Excel spreadsheet. \n\nIn the laboratory, spectral reflectance was measured using a Ger3700 spectrometer mounted in a dark room with a single light source. Reference spectra were taken using a Spectralon panel, and the radiances were processed into reflectances using the associated software. In the field, reflectances were taken using an SVC HR-1024 spectroradiometer mounted on a monopod and held approximately 1m from the surface. A Spectralon reflectance panel was used to give references, and the reflectances were downloaded from the spectroradiometer software. In both the field and the laboratory three measurements from different angles were taken of each sample/collar, and the average calculated. The vegetation indices were then calculated from the average reflectance spectra, and entered into an Excel spreadsheet. \n\nThe satellite data products were downloaded from the MODIS server and filtered in Matlab using the associated quality information. The gaps were then filled using the technique described by Wang et al. (2012). ","locations":["POLYGON((-3.8 58.2, -3.8 58.5, -3.5 58.5, -3.5 58.2, -3.8 58.2))"],"metadataDate":"2026-07-25T13:21:47.000Z","orcid":["0000-0001-9254-2103","0000-0002-0412-8824","0000-0001-6896-4613","0000-0002-8462-6558"],"organisation":["University of Reading","The James Hutton Institute","University of Waterloo","Imperial College London","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab9f47f9-9faf-4403-a57e-25e31f581ed0","10.5285/ab9f47f9-9faf-4403-a57e-25e31f581ed0","doi:10.5285/ab9f47f9-9faf-4403-a57e-25e31f581ed0"],"resourceType":"Dataset","ror":["https://ror.org/05v62cm79","https://ror.org/03rzp5127","https://ror.org/01aff2v68","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an…","state":"published","supplementalDescription":["A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations’, Environmental Modelling & Software. Elsevier, 30, pp. 139–142. "],"supplementalName":["Wang, G. et al. (2012)"],"temporalExtentText":"Data collected from 2016 to 2017","title":"Peatland vegetation: field and laboratory measurements of carbon dioxide fluxes and spectral reflectance ","version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents?page=12"}