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Ancillary meteorological and soil physics observations were co-located with the eddy covariance stations.\n\nTurbulent flux densities were calculated from the raw EC data using the EddyPRO® Flux Calculation Software Version 6.1.\n\nQuality Control of EC data involved removal of statistical outliers and tests that theoretical requirements for the successful application of the EC technique were not violated significantly. \n\nData gaps in EC data (NEE, LE, H) and the partitioning of NEE into gross ecosystem production and total ecosystem production were performed using the REddyProc Package for R (Reichstein et al., 2019).\n\nFurther details are available in the supporting documentation accompanying the data.","locations":["POLYGON((-0.187 52.486, -0.187 52.547, -0.051 52.547, -0.051 52.486, -0.187 52.486))"],"metadataDate":"2026-08-11T08:35:49.000Z","orcid":["0000-0002-1847-3127","0000-0002-1382-3407","0000-0001-5704-9006","0000-0002-7052-354X","0000-0002-1318-5281","0000-0002-1482-4209"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9","10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9","doi:10.5285/2fe84b80-117a-4b19-a1f5-71bbd1dba9c9"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains time series observations of surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and momentum (τ) measured at two managed lowland peatland environments in the East Anglian Fens, England,…","state":"published","title":"Eddy covariance measurements of carbon dioxide, energy and water fluxes at a cropland and a grassland on lowland peat soils, East Anglia, UK, 2016-2019","topic":["0/Climate and climate change/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated","Botanical Society of Britain and Ireland","Vegetation Survey and Assessment Ltd"],"authorFamilyName":["Ridding","Hawes","Walls","Pilkington","Bailey","Pywell","Pescott"],"authorFullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Pilkington, S.L.","Bailey, J.","Pywell, R.F.","Pescott, O.L."],"authorGivenName":["L.E. ","P. ","R. ","S.L.","J.","R.F.","O.L."],"authorOrcid":["0000-0003-3141-8795","0000-0001-6431-9959","0000-0002-0685-8046"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/02krbn758"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Vascular plant and bryophyte survey data from a 33-year chronosequence on bare chalk, used to investigate primary succession. The bare chalk plots were created from archaeological excavations on Down Farm, north Dorset, between the years 1986 and 2018, resulting in 13 different plots. The vascular plant survey was carried out in July 2019 using 50 cm x 50 cm quadrats. Quadrats were recorded every 1 m along a 16 m transect in each of the 13 plots. The bryophyte survey was carried out in February 2020 using 20 cm x 20 cm quadrats, along the same transects for 11 of the 13 plots. ","documentType":"GEMINI_DOCUMENT","familyName":["Ridding","Hawes","Walls","Pilkington","Bailey","Pywell","Pescott"],"fullName":["Ridding, L.E.","Hawes, P.","Walls, R.","Pilkington, S.L.","Bailey, J.","Pywell, R.F.","Pescott, O.L."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["L.E. ","P. ","R. ","S.L.","J.","R.F.","O.L."],"grant":["NE/N018125/1 "],"identifier":"358eb380-74a0-4acd-9df2-696fdf13a6d7","incomingCitationCount":0,"keyword":["Dorset","Environmental survey","vascular plant","succession","chalk","bryophyte"],"keywordsOther":["vascular plant","succession","chalk","bryophyte"],"keywordsPlace":["Dorset"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"A total of 13 transects (16 m in length) were set up in July 2019, with one in each of the excavated blocks dated 1986, 2004–2008, and 2013–2018 (2 blocks were excavated in 2016). The percentage cover of vascular plant species were recorded in 50 cm x 50 cm quadrats every 1 m along each of the 13 transects, giving a total of 208 quadrats. Vascular plants were identified to species level, with the exception of Taraxacum microspecies. The percentage cover of bryophytes were recorded in February 2020 using the same methodology, but with a 20 cm x 20 cm quadrat. Two plots were not recorded for bryophytes, the first of which (excavated in 2006) was due to rubble left on the plot, which would have influenced the colonisation of bryophytes and the second plot (excavated in 2016) was excluded due to time constraints, as there was already another plot recorded of this age. Bryophytes were identified to species level, with the exception of a few small and/or infertile individuals, where it was only possible to classify specimens to a group level (affecting some Didymodon and Bryum species).\nData were collected by experienced field ecologists. Paper data sheets were digitised into Excel and were checked for any anomalies.\n","locations":["POLYGON((-2.007 50.929, -2.007 50.933, -2.001 50.933, -2.001 50.929, -2.007 50.929))"],"metadataDate":"2026-07-24T20:36:18.000Z","orcid":["0000-0003-3141-8795","0000-0001-6431-9959","0000-0002-0685-8046"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","Botanical Society of Britain and Ireland","Vegetation Survey and Assessment Ltd","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-05-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/358eb380-74a0-4acd-9df2-696fdf13a6d7","10.5285/358eb380-74a0-4acd-9df2-696fdf13a6d7","doi:10.5285/358eb380-74a0-4acd-9df2-696fdf13a6d7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02krbn758","https://ror.org/04xw4m193"],"shortenedDescription":"Vascular plant and bryophyte survey data from a 33-year chronosequence on bare chalk, used to investigate primary succession. The bare chalk plots were created from archaeological excavations on Down Farm, north Dorset, between the years 1986 and 2018, resulting in…","state":"published","title":"Vascular plant and bryophyte survey from a 33-year chronosequence on bare chalk, Dorset, 2019-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Levy"],"authorFullName":["Levy, P.E."],"authorGivenName":["P.E."],"authorOrcid":["0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance Survey National Grid (OSGB) projection. Maps are produced in near-real time, lagging by about one week. Data are available from early 2016 to 2023, on a daily basis. \n\nThe model was calibrated on a network of cosmic-ray neutron sensors (COSMOS-UK) and remotely-sensed soil moisture data. A key parameter was estimated from the national-scale spatial pattern in the catchment response to rainfall seen in the National River Flow Archive (NRFA) data. Precipitation and humidity data to drive the model came from the Met Office High Resolution Numerical Weather Prediction model (NWP-UKV) which incorporates the C-band rainfall radar network. The maps have a variety of uses in hydrology and elsewhere, for example as inputs to ecosystem models of greenhouse gas exchange, where soil moisture affects numerous processes. The modelling was carried out as part of UK-SCAPE Virtual Survey Lab, and the NERC project \"Detection and Attribution of Regional Emissions (DARE-UK)\". There are some gaps in the time series of meteorological and remote sensing inputs, and data are unavailable for these days. The NRFA data are only available for Great Britain, so estimates in Ireland and continental Europe will be less accurate.","documentType":"GEMINI_DOCUMENT","familyName":["Levy"],"fullName":["Levy, P.E."],"funder":["Natural Environment Research Council"],"givenName":["P.E."],"grant":["NE/R016429/1","NE/S003614/2"],"identifier":"5aa8c5b4-4485-4954-b5c3-18d937a418f7","incomingCitationCount":1,"keyword":["UK","NRFA","SCAT-SAR","ASCAT","Soil","Hydrology","Mapping","soil water retention curves","rainfall","hydrological modelling","soil moisture","soil water","modelling","soil","hydrology","atmospheric precipitation","catchment","mapping","remote sensing"],"keywordsOther":["soil water retention curves","rainfall","hydrological modelling","soil moisture","soil water","modelling","soil","hydrology","atmospheric precipitation","catchment","mapping","remote sensing"],"keywordsPlace":["UK"],"keywordsProject":["NRFA","SCAT-SAR","ASCAT"],"keywordsTheme":["Soil","Hydrology","Mapping"],"licence":"Open government licence","lineage":"We developed a statistical model of soil moisture, calibrated on a network of cosmic-ray neutron sensors in the UK. We found that applying an exponentially-weighted moving-average filter effectively linearised the effect of precipitation, so we could form a simple linear model. With this, we integrated remotely-sensed soil moisture data. To extrapolate across the whole country, we inferred information on the soil water retention properties from daily water balance data from approximately 1200 catchments with wide coverage. \n\nWe used a Bayesian approach to allow the uncertainty from the calibration at 40 sites to be propagated through the extrapolation on a grid covering the whole UK. The Met Office High Resolution Numerical Weather Prediction model (NWP-UKV), which incorporates the C-band rainfall radar network, provides very detailed data on the variation in precipitation which arises from the sporadic nature of rainfall events and interactions with orography in near-real time, to predict small-scale, short-term variation in soil moisture.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-08-11T08:34:38.000Z","orcid":["0000-0002-8505-1901"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5aa8c5b4-4485-4954-b5c3-18d937a418f7","10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7","doi:10.5285/5aa8c5b4-4485-4954-b5c3-18d937a418f7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of daily maps of volumetric soil moisture predicted by a model based on a network of cosmic-ray neutron sensors (COSMOS-UK), the National River Flow Archive (NRFA) and remotely-sensed data. Maps cover the UK and Ireland at 2 km resolution in the Ordnance…","state":"published","title":"Daily soil moisture maps for the UK (2016-2023) at 2 km resolution","topic":["0/Soil/","0/Hydrology/","0/Mapping/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Leeds","University of East Anglia","University of Groningen","University of Sheffield"],"authorFamilyName":["Sparks","Spurgin","van der Velde","Fairfield","Komdeur","Burke","Richardson","Dugdale"],"authorFullName":["Sparks, A.M.","Spurgin, L.G.","van der Velde, M.","Fairfield, E.A.","Komdeur, J.","Burke, T.","Richardson, D.S.","Dugdale, H.L."],"authorGivenName":["A.M.","L.G.","M.","E.A.","J.","T.","D.S.","H.L."],"authorOrcid":["0000-0002-7697-4632","0000-0002-0874-9281","0000-0003-3848-1244","0000-0001-7226-9074","0000-0001-8769-0099"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex, age, birth period, qPCR plate identity, RTL, technician, territory, field period, mum ID, dad ID, mum age at conception, dad age at conception, dominant female ID in the natal territory, dominant male ID in the natal territory","documentType":"GEMINI_DOCUMENT","familyName":["Sparks","Spurgin","van der Velde","Fairfield","Komdeur","Burke","Richardson","Dugdale"],"fullName":["Sparks, A.M.","Spurgin, L.G.","van der Velde, M.","Fairfield, E.A.","Komdeur, J.","Burke, T.","Richardson, D.S.","Dugdale, H.L.","Dugdale, H."],"funder":["Natural Environment Research Council"],"givenName":["A.M.","L.G.","M.","E.A.","J.","T.","D.S.","H.L.","Hannah"],"grant":["NE/P011284/1"],"identifier":"8a8240a2-e8ed-495d-ae93-c35200956764","incomingCitationCount":1,"keyword":["Life history","Telomere","Seychelles Warbler","Senescence","Biomarkers"],"keywordsOther":["Life history","Telomere","Seychelles Warbler","Senescence","Biomarkers"],"licence":"Open government licence","lineage":"Blood samples (~25 μl) were collected and stored at room temperature in absolute ethanol. DNA was extracted using a DNeasy blood and tissue kit (Qiagen) according to the manufacturer’s instructions with modification of overnight lysis at 37 °C and a final DNA elution volume of 80 μl. DNA concentration and purity were quantified using a NanoDrop 8000 Spectrophotometer (ThermoScientific). The following thresholds were applied before samples were included for further analysis: (1) DNA concentration must be at least 15 ng/μl (based on a mean of three measurements), (2) the 260/280 absorbance ratio has to be between 1.8 and 2.0 for acceptable DNA purity, and (3) the 260/230 absorbance ratio must be higher than 1.8. DNA integrity was further validated by visualisation with ethidium bromide after electrophoresis on a 1.2% agarose gel, and all samples with evidence of DNA degradation were re-extracted or excluded. All DNA extractions that passed the above criteria were diluted to 3.3 ng/μl before telomere measurement. We used quantitative polymerase chain reaction to calculate a relative measure of telomere length that describes the amount of telomeric DNA in a sample relative to that of GAPDH, a constantly expressed reference gene.","locations":["POLYGON((55.645 -4.345, 55.645 -4.316, 55.679 -4.316, 55.679 -4.345, 55.645 -4.345))"],"metadataDate":"2026-09-02T10:06:31.000Z","orcid":["0000-0002-7697-4632","0000-0002-0874-9281","0000-0003-3848-1244","0000-0001-7226-9074","0000-0001-8769-0099"],"organisation":["University of Leeds","University of East Anglia","University of Groningen","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8a8240a2-e8ed-495d-ae93-c35200956764","10.5285/8a8240a2-e8ed-495d-ae93-c35200956764","doi:10.5285/8a8240a2-e8ed-495d-ae93-c35200956764"],"resourceType":"Dataset","rightsHolder":["University of Leeds"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex,…","state":"published","title":"Telomere length data from a wild population of Seychelles Warblers on Cousin Island, 1995-2014","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute"],"authorFamilyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"authorFullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"authorGivenName":["J.","P.","D.","S.","M.","G.","E."],"authorOrcid":["0000-0001-6984-6766","0000-0001-7542-7832","0000-0002-6483-0113"],"authorRor":["https://ror.org/016476m91","https://ror.org/03rzp5127"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Measurements were taken in three fertility zones within households in two districts of Halaba in the SNNPR, Ethiopia. Measurements were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. Measurements are provided at fertility zones home, near and far from the home, and at three depths (0-5cm, 5-10cm and 10-15cm). Measurements included were volumetric water content, more water conductivity, and soil temperature. This dataset was collected as part of the NERC-funded project Building Resilience in Ethiopia's Awassa region to Drought (BREAD).","documentType":"GEMINI_DOCUMENT","familyName":["Smith","Hallett","Nayak","Boke","Habte","Yakob","Rivington","Phimister"],"fullName":["Smith, J.","Hallett, P.","Nayak, D.","Boke, S.","Habte, M.","Yakob, G.","Rivington, M.","Phimister, E."],"funder":["Natural Environment Research Council"],"givenName":["J.","P.","D.","S.","M.","G.","E."],"grant":["NE/P004830/1"],"identifier":"c18a5a8c-a9b0-401d-8784-d03f3c7cd049","incomingCitationCount":0,"keyword":["NE/P004830/1","BREAD","Soil water characteristics","fertility zones within the household"],"keywordsProject":["NE/P004830/1","BREAD"],"keywordsTheme":["Soil water characteristics","fertility zones within the household"],"licence":"Open government licence","lineage":"The measurements were collected from farmers’ fields in Halaba District near Hawassa (SNPPR, Ethiopia), after the drought of 2015 – 2016 (between January 2016 and July 2016). Sampling points were classed as “home”, “near” and “far” from the homestead. This corresponds to fields at increasing distance from the household, but does not equate to a set distance; it is more a reflection of the typical land uses in the fields. Measurements are provided at the three depths, 0-5cm, 5-10cm and 10-15cm. Measurements were collected from fields belonging to farmers with different wealth status (poor medium and rich) in two kebeles (parishes, Konicha and 1st Choroko). ","locations":["POLYGON((33.047 2.108, 33.047 15.708, 48.604 15.708, 48.604 2.108, 33.047 2.108))"],"metadataDate":"2026-07-25T14:00:15.000Z","orcid":["0000-0001-6984-6766","0000-0001-7542-7832","0000-0002-6483-0113"],"organisation":["University of Aberdeen","Southern Agricultural Research Institute, Ethiopia","The James Hutton Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-07-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c18a5a8c-a9b0-401d-8784-d03f3c7cd049","10.5285/c18a5a8c-a9b0-401d-8784-d03f3c7cd049","doi:10.5285/c18a5a8c-a9b0-401d-8784-d03f3c7cd049"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/03rzp5127","https://ror.org/04xw4m193"],"shortenedDescription":"Measurements were taken in three fertility zones within households in two districts of Halaba in the SNNPR, Ethiopia. Measurements were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. Measurements are provided…","state":"published","title":"Soil water measurements from Ethiopia’s Awassa region during the drought and subsequent floods of 2015-2016","version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Smart","Whittaker"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Smart, S.M.","Whittaker, H.A."],"authorGivenName":["C.J.","R.G.H.","S.M.","H.A."],"authorOrcid":["0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 256 1km x 1km square sites surveyed across Great Britain in 1978. Many of the plots were repeated in 1990, 1998 and 2007. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. ","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Smart","Whittaker","Wood"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Smart, S.M.","Whittaker, H.A.","Wood, C."],"givenName":["C.J.","R.G.H.","S.M.","H.A.","Claire"],"identifier":"67bbfabb-d981-4ced-b7e7-225205de9c96","incomingCitationCount":6,"keyword":["Great Britain","plants","vegetation","Environmental survey"],"keywordsOther":["plants","vegetation","Environmental survey"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1978 by surveyors (a few sites were surveyed in 1977). Data were recorded from 256 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the Institute of Terrestrial Ecology (which later became part of the Centre for Ecology & Hydrology). Standard Countryside Survey methodology was applied (refer to the online documentation). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:46:06.000Z","orcid":["0000-0003-2750-7832"],"organisation":["Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1390493726292","CEH:EIDC::1390493726292","https://catalogue.ceh.ac.uk/id/67bbfabb-d981-4ced-b7e7-225205de9c96","10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96","doi:10.5285/67bbfabb-d981-4ced-b7e7-225205de9c96"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of plant species presence and abundance in different sizes and types of plots from 256 1km x 1km square sites surveyed across Great Britain in 1978. Many of the plots were repeated in 1990, 1998 and 2007. General information about the plot was…","state":"published","title":"Countryside Survey 1978 vegetation plot data","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Aberdeen University"],"authorFamilyName":["Oyesiku-Blakemore","Verrot","Smith","Hallett"],"authorFullName":["Oyesiku-Blakemore, J.","Verrot, L.","Smith, J.","Hallett, P."],"authorGivenName":["J.","L.","P."],"authorRor":["https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise soil organic carbon (SOC) content from soil simulations in a small agricultural catchment (Sunjia) which is part of the Critical Zone Observatory (CZO) in southeast China (Jianxi province).\n\nThe simulations were performed using the ECOSSE model (a pool-based carbon and nitrogen turnover model) and soil and climate input data were provided by the research farm at the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018.","documentType":"GEMINI_DOCUMENT","familyName":["Oyesiku-Blakemore","Verrot","Smith","Hallett"],"fullName":["Oyesiku-Blakemore, J.","Verrot, L.","Smith, J.","Hallett, P."],"givenName":["J.","L.","P.","Joseph"],"identifier":"f8955c65-0103-4a26-9078-f34ec6a28676","incomingCitationCount":0,"keyword":["Environmental survey","Soil","soil","organic carbon","ECOSSE model","Sunjia","Jianxi province"],"keywordsOther":["soil","organic carbon","ECOSSE model","Sunjia","Jianxi province"],"keywordsTheme":["Environmental survey","Soil"],"licence":"Open government licence","lineage":"The data was collected through model simulations. These were performed to understand the response of soil carbon models to the different methods of simulating hydrology dynamics in soil. The simulations use two different hydrological representations; one a simple piston flow and one the HYDRUS model. The simulations using the HYUDRS (1-D) model read in soil moisture values from files created from simulations of soil moisture using the HYDRUS model. \n\nSimulations were carried out by Dr Joseph Oyesiku-Blakemore in the Environmental modelling group at the University of Aberdeen. \nThe work was part of the UK China Critical Zone Observatory project (the Red Soil project within this group of projects), funded by NERC and NSFC. ","locations":["POLYGON((117 28, 117 29, 116 29, 116 28, 117 28))"],"metadataDate":"2026-09-02T13:47:07.000Z","organisation":["Aberdeen University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f8955c65-0103-4a26-9078-f34ec6a28676","10.5285/f8955c65-0103-4a26-9078-f34ec6a28676","doi:10.5285/f8955c65-0103-4a26-9078-f34ec6a28676"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise soil organic carbon (SOC) content from soil simulations in a small agricultural catchment (Sunjia) which is part of the Critical Zone Observatory (CZO) in southeast China (Jianxi province).\n\nThe simulations were performed using the ECOSSE model (a pool-based…","state":"published","title":"Model outputs for simulation of soil organic carbon changes on a Red Soil agricultural site in China using integrated Hydrus 1-D hydrology","topic":["0/Environmental survey/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"authorFullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B."],"authorGivenName":["M.S.","T.","S.","C.","I.","Z.","D.B."],"authorOrcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Based on this criterion collated indices have been calculated for the entire UKBMS time series from 1976 to the current year for the majority of species. For some rarer species the time series starts in a later year due to lack of data. Collated indices are calculated using a statistical model that accounts for missing data. The number of sites for each species ranges from 5 to several hundred and varies from year to year. Since 2008 more than 1,000 sites have been monitored across the UK each year. Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and to measure the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change (e.g. as official UK Biodiversity Indicators), and have been used in numerous research studies to understand the impacts of changes in climate and the extent and condition of habitats.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.\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":["Botham","Brereton","Harris","Harrower","Middlebrook","Randle","Roy"],"fullName":["Botham, M.S.","Brereton, T.","Harris, S.","Harrower, C.","Middlebrook, I.","Randle, Z.","Roy, D.B.","Botham, M."],"funder":["Natural Environment Research Council"],"givenName":["M.S.","T.","S.","C.","I.","Z.","D.B.","Marc"],"grant":["NE/R016429/1"],"identifier":"37cc9541-0e15-4fb8-97ea-685f306228d5","incomingCitationCount":1,"keyword":["England","Scotland","Wales","Northern Ireland","United Kingdom","Biodiversity","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsPlace":["England","Scotland","Wales","Northern Ireland","United Kingdom"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Collated indices are produced using a series of statistical models on butterfly transect counts recorded by a volunteer network. These indices are a relative measure of each species' abundance across the UK compared to the baseline in 1976. The statistics are presented as log10 values. These values are centred around an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average (a technique used in other biodiversity indicators).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T13:44:08.000Z","orcid":["0000-0002-5276-1405","0000-0001-5070-5293","0000-0002-0448-9144","0000-0002-5147-0331"],"organisation":["Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-11-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/37cc9541-0e15-4fb8-97ea-685f306228d5","10.5285/37cc9541-0e15-4fb8-97ea-685f306228d5","doi:10.5285/37cc9541-0e15-4fb8-97ea-685f306228d5"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"Collated indices are a relative measure of butterfly abundance across monitored sites in the UK, calculated from data collected by the UK Butterfly Monitoring Scheme (UKBMS). Collated indices are calculated annually for each individual butterfly species that has been…","state":"published","supplementalName":["UKBMS website"],"title":"United Kingdom Butterfly Monitoring Scheme: collated indices 2018","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Helsinki","University of Manchester","Diamond Light Source","Galson Sciences Ltd","Kyushu University","Paul Scherrer Institute"],"authorFamilyName":["Bower","Morris","Livens","Mosselmans","Fallon","Fuller","Natrajan","Boothman","Lloyd","Utsunomia","Grolimund","Ferreira Sanchez","Jilbert","Parker","Neill","Law"],"authorFullName":["Bower, W.","Morris, K.","Livens, F.R.","Mosselmans, J.F.W.","Fallon, C.M.","Fuller, A.J.","Natrajan, L.S.","Boothman, C.","Lloyd, J.R.","Utsunomia, S.","Grolimund, D.","Ferreira Sanchez, D.","Jilbert, T.","Parker, J.E.","Neill, T.","Law, G."],"authorGivenName":["W.","K.","F.R.","J.F.W.","C.M.","A.J.","L.S.","C.","J.R.","S.","D.","T.","J.E.","G."],"authorOrcid":["0000-0003-2070-2483","0000-0002-2320-6330"],"authorRor":["https://ror.org/040af2s02","https://ror.org/027m9bs27","https://ror.org/05etxs293","https://ror.org/00tvcfv48","https://ror.org/00p4k0j84","https://ror.org/03eh3y714"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text","NeXus (.nxs)"],"description":"This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. \n\nMeasurements were carried out to determine the extent of uranic particle dissolution and the speciation of dissolved uranium within the columns under contrasting biogeochemical conditions (oxic and electron-donor amended). Columns effluents were analysed periodically for key biogeochemical indicators (nitrate, sulfate) and trace metals (iron, manganese, uranium) and systems were sacrificed after 6 and 12 months of groundwater flow. Upon sacrifice, columns were cross-sectioned, and the sediment structure preserved for synchrotron micro-focus X-ray Fluorescence (XRF) mapping, and uranium L-edge X-ray Absorption Spectroscopy (XAS) measurements. Sub-samples of column sediments were also analysed for acid extractable metals, microbial abundance and classification and bioavailable Fe(II) concentrations. \n\nExperiments were performed between March 2016 and March 2017. Subsequent analyses were performed between March 2017 and December 2018. \n\nThis data was collected as part of the project: Understanding radioactive ‘hot’ particle evolution in the environment funded by the UK Natural Environment Research Council (grant NE/M014088/1). ","documentType":"GEMINI_DOCUMENT","familyName":["Bower","Morris","Livens","Mosselmans","Fallon","Fuller","Natrajan","Boothman","Lloyd","Utsunomia","Grolimund","Ferreira Sanchez","Jilbert","Parker","Neill","Law"],"fullName":["Bower, W.","Morris, K.","Livens, F.R.","Mosselmans, J.F.W.","Fallon, C.M.","Fuller, A.J.","Natrajan, L.S.","Boothman, C.","Lloyd, J.R.","Utsunomia, S.","Grolimund, D.","Ferreira Sanchez, D.","Jilbert, T.","Parker, J.E.","Neill, T.","Law, G."],"funder":["Natural Environment Research Council"],"givenName":["W.","K.","F.R.","J.F.W.","C.M.","A.J.","L.S.","C.","J.R.","S.","D.","T.","J.E.","G.","Will"],"grant":["NE/M014088/1"],"identifier":"2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","incomingCitationCount":1,"keyword":["Soil","Metaschoepite","X-ray spectroscopy data","uranium","groundwater"],"keywordsOther":["Metaschoepite","X-ray spectroscopy data","uranium","groundwater"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Laboratory measurements were carried out at the Centre for Radiochemistry Research and the Williamson Research Centre at the University of Manchester, UK. Synchrotron data were collected at Diamond Light Source, UK (beamlines I18, B18 and I14) and the Swiss Light Source (beamline X05-LA) under allocations SP15085, SP17270, SP13559, SP18053-1, and 20170741.\n\nA detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article:","metadataDate":"2026-07-24T19:27:25.000Z","orcid":["0000-0003-2070-2483","0000-0002-2320-6330"],"organisation":["University of Helsinki","University of Manchester","Diamond Light Source","Galson Sciences Ltd","Kyushu University","Paul Scherrer Institute","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-10-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1","doi:10.5285/2702e1b0-13df-4ae4-9f91-4ac4bd07bbf1"],"resourceType":"Non-geographic dataset","ror":["https://ror.org/040af2s02","https://ror.org/027m9bs27","https://ror.org/05etxs293","https://ror.org/00tvcfv48","https://ror.org/00p4k0j84","https://ror.org/03eh3y714","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the results of a laboratory study investigating the dissolution of UO3•nH2O particles in dynamic sediment/groundwater column systems, representative of the shallow subsurface at the Sellafield Ltd. site, UK. \n\nMeasurements were carried out to determine…","state":"published","supplementalDescription":["NeXus is a common data format for neutron, x-ray, and muon science. It is being developed as an international standard by scientists and programmers representing major scientific facilities in order to facilitate greater cooperation in the analysis and visualization of neutron, x-ray, and muon data.","Maps are from multiple\nbeamlines and are either .txt. files, where columns pertain to different chemical elements, or .nxs files,\nwhich can be opened using the DAWN Science Suite, freely available from Diamond Light Source"],"supplementalName":["Further information about the NeXus data format","DAWN Science Suite"],"title":"Metaschoepite dissolution in sediment column systems – groundwater/soil geochemistry and uranium X-ray spectroscopy data","topic":["0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","University of Stirling"],"authorFamilyName":["Beresford","Barnett","Howard","Tyler","Bradley","Copplestone"],"authorFullName":["Beresford, N.A.","Barnett, C.L.","Howard, B.J.","Howard, D.C.","Tyler, A.N.","Bradley, S.","Copplestone, D."],"authorGivenName":["N.A.","C.L.","B.J.","D.C.","A.N.","S.","D."],"authorOrcid":["0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Following the Fukushima accident in March 2011, grass samples were collected from 42 sites around Great Britain during April 2011. Iodine-131 was measurable in grass samples across the country with activity concentrations ranging from 10 to 55 Bq per kg dry matter. Concentrations were similar to those reported in other European countries. Rainwater and some foodstuffs were also analysed from a limited number of sites. Of these, I-131 was only detectable in sheep's milk (c. 2 Bq/kg). Caesium-134, which can be attributed to releases from the Fukushima reactors, was detectable in six of the grass samples (4-8 Bq/kg dry matter); 137Cs was detected in a larger number of grass samples although previous release sources (atmospheric weapons test and the 1986 Chernobyl and 1957 Windscale accidents) are likely to have contributed to this. All data and information for this sampling are available from this record. The data result from collaboration between CEH and the University of Stirling.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Barnett","Howard","Tyler","Bradley","Copplestone"],"fullName":["Beresford, N.A.","Barnett, C.L.","Howard, B.J.","Howard, D.C.","Tyler, A.N.","Bradley, S.","Copplestone, D.","Beresford, N."],"givenName":["N.A.","C.L.","B.J.","D.C.","A.N.","S.","D.","Nick"],"identifier":"1a91c7d1-ec44-4858-9af2-98d80f169bbd","incomingCitationCount":5,"keyword":["Fukushima","Japan","Great Britain","Pollution","Radioecology","I-131","TREE","COMET","radionuclide","radioactive contamination","caesium","vegetation","foodstuff"],"keywordsOther":["I-131","TREE","COMET","radionuclide","radioactive contamination","caesium","vegetation","foodstuff"],"keywordsPlace":["Fukushima","Japan","Great Britain"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Non-Open government licence","lineage":"Fresh grass and other vegetation samples were finely chopped and accurately weighed into 950 ml plastic containers prior to gamma analyses. Milk (sheep and goat), rainwater and homogenised egg content samples were accurately weighed into either 150 ml or 950 ml plastic containers depending upon the sample volume available. To determine the activity concentration of gamma-emitting radionuclides, fresh samples were analysed on hyper-pure germanium detectors as soon as possible after sampling and counted for 1-2 days depending upon their 131I activity concentration. The detectors are calibrated against standards of various density and volume, and the facilities regularly participate in proficiency testing schemes. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-02T13:41:49.000Z","orcid":["0000-0002-8722-0238"],"organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","University of Stirling","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1312373222406","CEH:EIDC::1312373222406","https://catalogue.ceh.ac.uk/id/1a91c7d1-ec44-4858-9af2-98d80f169bbd","10.5285/1a91c7d1-ec44-4858-9af2-98d80f169bbd","doi:10.5285/1a91c7d1-ec44-4858-9af2-98d80f169bbd"],"resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"Following the Fukushima accident in March 2011, grass samples were collected from 42 sites around Great Britain during April 2011. Iodine-131 was measurable in grass samples across the country with activity concentrations ranging from 10 to 55 Bq per kg dry matter.…","state":"published","supplementalDescription":["Johansen, M. P., Ruedig, E., Tagami, K., Uchida, S., Higley, K., & Beresford, N. A. (2015). Radiological Dose Rates to Marine Fish from the Fukushima Daiichi Accident: The First Three Years Across the North Pacific. Environmental Science & Technology, 49(3), 1277-1285"],"title":"Observations of Fukushima fallout in Great Britain","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Ecole Supérieure des Sciences Agronomiques - Université d'Antananarivo","Laboratoire des Radio Isotopes Université d'Antananarivo"],"authorFamilyName":["Ramananantoandro","Razafimahatratra","Razafinarivo","Rinaelintsoa","Razakamanarivo"],"authorFullName":["Ramananantoandro, T.","Razafimahatratra, A.R.","Razafinarivo, R.G.","Rinaelintsoa, M.S.","Razakamanarivo, H."],"authorGivenName":["T.","A. R.","R. G.","M. S.","H."],"authorOrcid":["0000-0001-5080-7118","0000-0003-3126-8192"],"authorRor":["https://ror.org/02w4gwv87"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection, zone identifier, core identifier, local and scientific tree name, tree height and diameter. Samples were analysed by UFR Sciences du bois de l'ESSA-forêts, Université d'Antananarivo.\n\nData were collected as part of a project funded under the Ecosystem Services for Poverty Alleviation (ESPA) programme. Work package 4, P4GES project, grant references: NE/K008692/1, NE/K010115/1, and NE/K010220/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ramananantoandro","Razafimahatratra","Razafinarivo","Rinaelintsoa","Razakamanarivo"],"fullName":["Ramananantoandro, T.","Razafimahatratra, A.R.","Razafinarivo, R.G.","Rinaelintsoa, M.S.","Razakamanarivo, H."],"funder":["Natural Environment Research Council"],"givenName":["T.","A. R.","R. G.","M. S.","H."],"grant":["NE/K010115/1","NE/K008692/1","NE/K010220/1"],"identifier":"efa10c00-d43a-4c94-b2f9-0708755e7d80","incomingCitationCount":0,"keyword":["Ankeniheny Zahamena forest corridor","Corridor Ankeniheny Zahamena (CAZ)","Madagascar","Ecosystem Services for Poverty Alleviation (ESPA)","core","wood specific gravity","Eastern humid region","tree","wood"],"keywordsOther":["core","wood specific gravity","Eastern humid region","tree","wood"],"keywordsPlace":["Ankeniheny Zahamena forest corridor","Corridor Ankeniheny Zahamena (CAZ)","Madagascar"],"keywordsProject":["Ecosystem Services for Poverty Alleviation (ESPA)"],"licence":"Open government licence","lineage":"In the field.\nFollowing discussion with local botanist (to find trees that grow locally and to check that local tree names matched scientific tree names) healthy trees, i.e. trees that were neither hollow nor suffering from decay inside the trunk were selected.\n15 mm-diameter wood cores were collected using an electric drill powered by a generator (to avoid harvesting trees). Samples were taken at 1.3 m above ground.\nIn the lab.\nTo determine the wood specific gravity (WSG) and density at 12% moisture content in the wood cores, a one-centimetre long segment (without bark) from each core was cut. Segments were stabilised in a climatic chamber at 20°C and 65% relative humidity for 7 days to obtain 12% moisture content (MC). Samples were considered stable at 12% moisture content when the weights were constant for 3 consecutive days.\nFull materials and methods available from Supporting Information (Manual_4_Wood_Specific_Gravity).","locations":["POLYGON((43.19 -25.6, 43.19 -11.94, 50.48 -11.94, 50.48 -25.6, 43.19 -25.6))"],"metadataDate":"2026-09-02T13:47:27.000Z","orcid":["0000-0001-5080-7118","0000-0003-3126-8192"],"organisation":["Ecole Supérieure des Sciences Agronomiques - Université d'Antananarivo","Laboratoire des Radio Isotopes Université d'Antananarivo","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-11-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/efa10c00-d43a-4c94-b2f9-0708755e7d80","10.5285/efa10c00-d43a-4c94-b2f9-0708755e7d80","doi:10.5285/efa10c00-d43a-4c94-b2f9-0708755e7d80"],"resourceType":"Dataset","ror":["https://ror.org/02w4gwv87","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise wood specific gravity (WSG) and density at 12% moisture content (D12) in wood cores sampled from trees in the Ankeniheny Zahamena forest corridor, the remains of the evergreen forest of eastern Madagascar. The data also include date of sample collection,…","state":"published","supplementalDescription":["Project partner website","Programme website of Ecosystem services for poverty alleviation (ESPA)","Project website pf P4GES: Can Paying for Global Ecosystem Services reduce poverty"],"supplementalName":["Département des Eaux et Forêts de l'Ecole Supérieure des Sciences Agronomiques\"","ESPA website","P4GES website","Laboratory of Radioisotopes, University of Antananarivo website","Laboratory of Radioisotopes website"],"title":"Wood specific gravity for trees in Ankeniheny Zahamena forest corridor, Madagascar v2","version":2.0,"view":["public","jgar"]},{"authorAffiliation":["Natural Environment Research Council","University of Oxford"],"authorFamilyName":["Lynch","Zhang"],"authorFullName":["Lynch, J.","Zhang, X."],"authorGivenName":["J","X"],"authorRor":["https://ror.org/02b5d8509","https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains greenhouse gas emission estimates for illustrative scenarios of peatland restoration from a case-study with The Wildlife Trusts in the UK. Initial management information was provided by individual Wildlife Trusts, from which a representative simulation case-study was designed. Emissions are estimated assuming peatlands are initially in a degraded state, initially restored by wetting, and finally restored further to 'near-natural' conditions. Emissions are reported for individual gases (carbon dioxide, methane and nitrous oxide), and aggregated under multiple metrics: the 100-year Global Warming Potential, the 100-year Global temperature Change Potential and 'GWP*', to provide insight into temporal dynamics. Uncertainties are also shown, with data from a large number of Monte Carlo Simulation runs.\n\nThe work was supported by the Natural Environment Research Council (NE/W004976/1).","documentType":"GEMINI_DOCUMENT","familyName":["Lynch","Zhang"],"fullName":["Lynch, J.","Zhang, X.","John Lynch"],"funder":["Natural Environment Research Council"],"givenName":["J","X"],"grant":["NE/W004976/1"],"identifier":"a295a07f-613d-4787-a933-48174db301be","incomingCitationCount":0,"keyword":["Climate and climate change","Land cover","Modelling","peat","methane","carbon dioxide"],"keywordsOther":["peat","methane","carbon dioxide"],"keywordsTheme":["Climate and climate change","Land cover","Modelling"],"licence":"Non-Open government licence","lineage":"National Inventory Report approaches were used to generate emission estimates and uncertainties. Emissions were then converted to different forms of 'carbon dioxide equivalence' using standard reporting metrics.\nThe dataset reports model runs from a Monte Carlo Simulation and resultant means, standard errors and upper and lower 95% confidence intervals for modelled greenhouse gas emissions associated with peatlands before and after restoration, from case-study areas reported by The Wildlife Trusts. The Monte Carlo Simulation used randomly selected individual emission factors within their uncertainty ranges for the original, current and target peatland conditions provided by The Wildlife Trusts. Original peatland area data that was used for this remains owned by individual Wildlife Trusts and is not included. Emission factors and their uncertainty ranges were from Evans et al (2023) report titled \"Aligning the Peatland Code with the UK Peatland Inventory\" (see below).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:17:04.000Z","organisation":["Natural Environment Research Council","University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-03-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a295a07f-613d-4787-a933-48174db301be","10.5285/a295a07f-613d-4787-a933-48174db301be","doi:10.5285/a295a07f-613d-4787-a933-48174db301be"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/02b5d8509","https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains greenhouse gas emission estimates for illustrative scenarios of peatland restoration from a case-study with The Wildlife Trusts in the UK. Initial management information was provided by individual Wildlife Trusts, from which a representative simulation…","state":"published","supplementalDescription":["The data provided here are built on management information and related data provided by individual Wildlife Trusts: these precursor data remain the property of the Trusts, and are not included here. This data set can still be interpreted and use without these precursor data.\n\nThis is part of the study described in Xiao Zhang, Minna Ots, Eleanor Johnston, Kathryn Brown, Nigel Doar, John Lynch, Peatland restoration can provide climate change mitigation over all time-scales: A UK case-study. bioRxiv 2024.12.10.627721","Evans, C., Artz, R., Burden, A., Clilverd, H., Freeman, B., Heinemeyer, A., Lindsay, R., Morrison, R., Potts, J., Reed, M. & Williamson, J. (2023), Aligning the peatland code with the UK peatland inventory, Report to Defra and the IUCN Peatland Programme, March 2022 (Updated January 2023)"],"title":"Peatland restoration greenhouse emissions and uncertainties under multiple emission metrics from a modelling case-study in the UK","topic":["0/Climate and climate change/","0/Land cover/","0/Modelling/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Cowan","Levy","Skiba"],"authorFullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M."],"authorGivenName":["N.J.","P.E.","U.M."],"authorOrcid":["0000-0002-8505-1901"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set includes over 500 individual flux measurements of nitrous oxide (N2O) from a mixed livestock farm, carried out in 2012 and 2013 using a high-precision flux chamber method. Measurements of soil properties are also reported for each individual flux measurement.  Soil pH, temperature moisture content, bulk density and  ammonia and nitrate concentrations (extracted via the KCl method) are reported in the data. The data represents arable and grazed fields (cattle and sheep) as well as other sources of N2O from agricultural lands such as barns, manure heaps and silage storage. This data was used to assess farms scale emissions of N2O from a variety of sources over four seasons.","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Levy","Skiba"],"fullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Cowan, N."],"givenName":["N.J.","P.E.","U.M.","Nicholas"],"identifier":"54edbdcf-086e-40a7-b2cc-c1e4fcbfbbbc","incomingCitationCount":0,"keyword":["Agriculture","Climate and climate change","Soil","livestock farming","nitrogen oxides"],"keywordsOther":["livestock farming","nitrogen oxides"],"keywordsTheme":["Agriculture","Climate and climate change","Soil"],"licence":"Open government licence","lineage":"Flux measurements were made using a high-precision closed chamber system where air was circulated between the chamber and an Aerodyne quantum cascade laser instrument measuring mixing ratios at 1 Hz.  Fluxes were calculated from the concentration change in each chamber by linear and non-linear regression using the R package HMR which also provided the 95 % confidence interval in dc/dt.  Soil samples were collected and frozen to - 18 ˚C within six hours of collection. Analysis of soils was carried out within 2 months of sampling. NH4+ and NO3- was extracted from the soil samples using 50 ml of 1 M KCl solution for 15 g of soil.  The mixture was filtered using 2.5 µm filter paper (Fisherbrand, Hampton, New Hampshire, USA) and the solution was stored and frozen in 20 ml plastic vials. Concentrations of NH4+ and NO3- were measured using a Bran and Luebbe AutoAnalyser (SPX Flow Technology, Norderstedt, Germany) by the analytical department at the School of Geosciences, University of Edinburgh. A sub sample of the dried soils was taken to be ground (via ball milling) for elemental analysis of total carbon and nitrogen content of the soil (vario EL cube, Elemaentar, Hanau, Germany), also by the analytical department at the School of Geosciences, University of Edinburgh.","locations":["POLYGON((-3.462 55.702, -3.462 55.908, -2.947 55.908, -2.947 55.702, -3.462 55.702))"],"metadataDate":"2026-07-24T23:04:45.000Z","orcid":["0000-0002-8505-1901"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/54edbdcf-086e-40a7-b2cc-c1e4fcbfbbbc","10.5285/54edbdcf-086e-40a7-b2cc-c1e4fcbfbbbc","doi:10.5285/54edbdcf-086e-40a7-b2cc-c1e4fcbfbbbc"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set includes over 500 individual flux measurements of nitrous oxide (N2O) from a mixed livestock farm, carried out in 2012 and 2013 using a high-precision flux chamber method. Measurements of soil properties are also reported for each individual flux measurement.…","state":"published","title":"Nitrous oxide fluxes and associated soil measurements from a mixed livestock farm in central Scotland (2012-2013)","topic":["0/Agriculture/","0/Climate and climate change/","0/Soil/"],"version":0.0,"view":["public","crimar"]},{"altTitle":["LCM2019"],"availability":"Unknown","catalogue":"eidc","dataFormat":["TIFF","SQLite"],"description":"Land Cover Map 2019 (LCM2019) 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.  \n\nThese are one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","identifier":"31f4887a-1691-4848-b07c-61cdc468ace7","incomingCitationCount":0,"keyword":["Land cover","Mapping"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:34:29.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-30T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/31f4887a-1691-4848-b07c-61cdc468ace7"],"resourceType":"Aggregation","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Land Cover Map 2019 (LCM2019) 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…","state":"published","title":"Land Cover Map 2019","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Fry"],"authorFullName":["Fry, R.J."],"authorGivenName":["R.J."],"authorOrcid":["0000-0002-9711-1131"],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Repeat electrical resistivity tomography (ERT) measurements were conducted over four sites to capture the changing resistivity of the soil throughout the agricultural growing season, with measurements taken in Spring, Summer, and Autumn to detect the change between the construction, production, and post-harvest stages of the crop. Initial measurements were undertaken in April/May, Summer measurements in June/July, and final measurements in September 2021. ","documentType":"GEMINI_DOCUMENT","familyName":["Fry"],"fullName":["Fry, R.J."],"funder":["Natural Environment Research Council"],"givenName":["R.J."],"grant":["NE/R004668/1"],"identifier":"7d09c677-134f-49ae-8128-6bc00784967a","incomingCitationCount":0,"keyword":["ERT","LANDWISE","Soil","Agriculture","Land use"],"keywordsInstrument":["ERT"],"keywordsProject":["LANDWISE"],"keywordsTheme":["Soil","Agriculture","Land use"],"licence":"Open government licence","lineage":"For each detailed survey location, a single 19m ERT transect was positioned with 96 electrodes spaced at 20cm intervals using a Campus Tigre system. The surveys were collected using a Wenner Array to collect data through the subsurface at sufficient vertical and horizontal resolutions. Each traverse collected approx. 660 apparent resistivity readings of the subsurface down to around 1m bgl. Data was collected in the field using ImagerPro2006.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:57:50.000Z","orcid":["0000-0002-9711-1131"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7d09c677-134f-49ae-8128-6bc00784967a","10.5285/7d09c677-134f-49ae-8128-6bc00784967a","doi:10.5285/7d09c677-134f-49ae-8128-6bc00784967a"],"resourceType":"Dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"Repeat electrical resistivity tomography (ERT) measurements were conducted over four sites to capture the changing resistivity of the soil throughout the agricultural growing season, with measurements taken in Spring, Summer, and Autumn to detect the change between…","state":"published","title":"Electrical Resistivity Tomography (ERT) measurements over UK farmlands, April-September 2021","topic":["0/Soil/","0/Agriculture/","0/Land use/"],"version":1.0,"view":["public","rafbar"]},{"authorAffiliation":["University of Leeds"],"authorFamilyName":["Richardson"],"authorFullName":["Richardson, J."],"authorGivenName":["J."],"authorOrcid":["0000-0001-7052-422X"],"authorRor":["https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Sediment and soil samples were collected during a six-month project in 2018 looking at the sources of sediment within the River Derwent Catchment, Yorkshire, UK. The data shows the mineralogical composition of each sample site, processed using X-ray powder diffraction (XRD).  The data has been used to understand where instream sediment in the River Derwent is coming from. This information can be used to inform catchment management. ","documentType":"GEMINI_DOCUMENT","familyName":["Richardson"],"fullName":["Richardson, J."],"funder":["Natural Environment Research Council"],"givenName":["J.","Janet"],"identifier":"27a84ac6-c3fd-4c86-9540-f60b4dbfa14f","incomingCitationCount":0,"keyword":["Environmental survey","sediment","soil"],"keywordsOther":["sediment","soil"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Sixty samples across the River Derwent Catchment, UK; the sample sites were chosen as case study sub-catchments in the catchment to ground truth erosion risk mapping work carried out. The sub-catchments show areas within the catchment that have a range of erosion risk and underlying geology. Samples were collected in the field. The sample was crushed and a sub-sample was processed in a laboratory using X-ray powder diffraction (XRD). The data is the raw output from the XRD (2 theta values and the count). This data is used to identify the different minerals present within the sample used for sediment fingerprinting.   ","locations":["POLYGON((-1.262 53.957, -1.262 54.526, -0.495 54.526, -0.495 53.957, -1.262 53.957))"],"metadataDate":"2026-07-24T19:28:05.000Z","orcid":["0000-0001-7052-422X"],"organisation":["University of Leeds","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-01-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/27a84ac6-c3fd-4c86-9540-f60b4dbfa14f","10.5285/27a84ac6-c3fd-4c86-9540-f60b4dbfa14f","doi:10.5285/27a84ac6-c3fd-4c86-9540-f60b4dbfa14f"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"Sediment and soil samples were collected during a six-month project in 2018 looking at the sources of sediment within the River Derwent Catchment, Yorkshire, UK. The data shows the mineralogical composition of each sample site, processed using X-ray powder diffraction…","state":"published","title":"Yorkshire Derwent catchment sediment fingerprinting of instream sediment and catchment soils","topic":["0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"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":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (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":"8b37b063-b5fe-42cc-ab2d-bf96626da036","incomingCitationCount":0,"keyword":["Land cover","Land use","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T08:41:27.000Z","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/8b37b063-b5fe-42cc-ab2d-bf96626da036","10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036","doi:10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2017 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","jgar"]},{"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":["TIFF"],"description":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion.  It is provided as a 2-band, 8-bit integer raster.  The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence.  For a fuller description please refer to the product documentation.  \n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (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.\n\n","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":"cf5050d8-495d-45a6-9e2e-bba5239284c2","incomingCitationCount":1,"keyword":["Land cover","Land use","LCM2018","UK-SCAPE"],"keywordsOther":["LCM2018","UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-09-02T10:07:06.000Z","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/cf5050d8-495d-45a6-9e2e-bba5239284c2","10.5285/cf5050d8-495d-45a6-9e2e-bba5239284c2","doi:10.5285/cf5050d8-495d-45a6-9e2e-bba5239284c2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This…","state":"published","title":"Land Cover Map 2018 (20m classified pixels, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","nuri"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"This dataset is from a network of rain gauges located across the Pontbren study site in mid-Wales, UK. Rain gauges were installed at various locations across the site between 2005-2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. Each sub-folder within the Pontbren Rain Gauge data set contains data for each of the different monitoring locations. Each location has a 0.2 mm tipping bucket rain gauge along with a storage gauge, apart from at the Bowl study site where only a tipping bucket rain gauge was installed. Tipping bucket rain gauges were connected to data loggers and the number of tips occurring in a 10 minute period recorded. This data is presented in mm of rainfall / day (mmd 1). Data are provided in the form of .txt files and the tipping bucket data is generally split into six-month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Storage gauge data where it exists are presented in the form of mm of rainfall occurring between a start and finish time. Details of the dataset, the quality assurance coding system and monitoring locations are provided in the supporting documentation.","documentType":"GEMINI_DOCUMENT","identifier":"60f54bca-2eea-4024-a877-a1d9717140c6","incomingCitationCount":1,"keyword":["United Kingdom","Wales","Pontbren","Climate and climate change","Soil","Water","hydrology","flooding","flood risk management","soil"],"keywordsOther":["Water","hydrology","flooding","flood risk management","soil"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Climate and climate change","Soil"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling. Full details provided in the 'Pontbren Catchment Study Data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"metadataDate":"2026-07-25T06:42:59.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60f54bca-2eea-4024-a877-a1d9717140c6"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is from a network of rain gauges located across the Pontbren study site in mid-Wales, UK. Rain gauges were installed at various locations across the site between 2005-2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental…","state":"published","supplementalDescription":["Wheater, Howard; Reynolds, Brian; McIntyre, Neil; Marshall, Miles; Jackson, Bethana; Frogbrook, Zoë; Solloway, Imogen; Francis, Oliver; Chell, Jo. 2008 Impacts of upland land management on flood risk: Multi-scale modeling methodology and results from the Pontbren experiment. Manchester, Flood Risk Management Research Consortium, 126pp. (FRMRC Research Report UR16, CEH Project Number: C02699)"],"title":"Pontbren rain gauge data","topic":["0/Climate and climate change/","0/Soil/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Warburton"],"authorFullName":["Warburton, J."],"authorGivenName":["J."],"authorOrcid":["0000-0003-3589-9039"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for two short reservoir cores collected from two reservoirs (Cowbury Dale and Higher Swineshaw), Stalybridge Tameside, Manchester. Cores were collected in 2018 following a severe moorland wildfire (July 2018) in the two reservoir catchments. Cores were collected from the deepest part of the reservoir using gravity coring and sampled at 2.5 mm intervals for analysis. The work was supported by the Natural Environment Research Council (Grant NE/S011560/1).","documentType":"GEMINI_DOCUMENT","familyName":["Warburton"],"fullName":["Warburton, J."],"funder":["Natural Environment Research Council"],"givenName":["J."],"grant":["NE/S011560/1"],"identifier":"4f447446-5461-48b2-b154-ff7094176502","incomingCitationCount":0,"keyword":["wildfire","fire","sedimentation (geology)","runoff","erosion"],"keywordsOther":["wildfire","fire","sedimentation (geology)","runoff","erosion"],"licence":"Open government licence","lineage":"Gravity cores were collected from two reservoirs and subsampled at 2.5 mm intervals for subsequent laboratory analysis of geochemistry (elemental analysis mg/g), loss on ignition (%) and median particle size (mm).","locations":["POLYGON((-3.224 53.041, -3.224 54.046, -1.34 54.046, -1.34 53.041, -3.224 53.041))"],"metadataDate":"2026-07-24T21:22:19.000Z","orcid":["0000-0003-3589-9039"],"organisation":["Durham University","NERC EDS Environmental Information Data Centre","University of Liverpool","University of Leeds"],"publicationDate":"2023-03-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4f447446-5461-48b2-b154-ff7094176502","10.5285/4f447446-5461-48b2-b154-ff7094176502","doi:10.5285/4f447446-5461-48b2-b154-ff7094176502"],"resourceType":"Dataset","rightsHolder":["Durham University","University of Liverpool","University of Leeds"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains details of sediment geochemistry, loss-on-ignition and sediment median particle size for two short reservoir cores collected from two reservoirs (Cowbury Dale and Higher Swineshaw), Stalybridge Tameside, Manchester. Cores were collected in 2018…","state":"published","title":"Sediment short cores from Higher Swineshaw and Cowbury Dale reservoirs, UK, 2018","version":1.0,"view":["public","jgar"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents"}