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This dataset has been created from combining the 2012 land cover layers from the individual CLC files for the UK, Jersey and Guernsey. \n\nCLC is a dataset produced within the frame of the Initial Operations of the Copernicus programme (the European Earth monitoring programme previously known as GMES) on land monitoring. CLC provides consistent information on land cover and land cover changes across Europe. This inventory was initiated in 1985 (initial year 1990) and then established a time series of land cover information with updates in 2000 and 2006 the last one being the 2012 reference year.\n\nCLC products are based on the analysis of satellite images by national teams of participating countries - the EEA member and cooperating countries - following a standard methodology and nomenclature with the following base parameters: \n  - 44 classes in the hierarchical three level Corine nomenclature;\n  - Minimum mapping unit (MMU) for status layers is 25 hectares;\n  - Minimum width of linear elements is 100 metres;\n\nThe resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others.","documentType":"GEMINI_DOCUMENT","familyName":["Cole","King","Ogutu","Palmer","Smith","Balzter"],"fullName":["Cole, B.","King, S.","Ogutu, B.","Palmer, D.","Smith, G.","Balzter, H."],"givenName":["Beth","B.","S.","D.","G.","H."],"identifier":"32533dd6-7c1b-43e1-b892-e80d61a5ea1d","incomingCitationCount":11,"keyword":["Mapping","geospatial data","Natural resources","Global Monitoring for Environment and Security (GMES)"],"keywordsOther":["geospatial data","Natural resources","Global Monitoring for Environment and Security (GMES)"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"The Corine Land Cover database for the UK has been updated for the reference year 2012. Main objective of the project was the detection, identification and mapping of all land cover changes above 5 ha. Satellite images from 2011 to 2013 served as the basis for image interpretation. Aerial Imagery from Google Earth was used to support the interpretation process. Contrary to previous versions of the UK CLC, this time no up-to-date national land cover map was available. The last update of the National Land Cover Map stems from 2007 (LCM2007) and is closer to the CLC2006 status database than the new update reference. The EEA technical guidelines were followed for production using the InterChange support package for mapping CLC changes, and revising the 2006 map.\n\nThe shapefile has been created by combining the 2012 layers from the individual CLC database files: CLC2012_UK.mdb (Corine land cover for the UK), CLC2012_JE.mdb (Corine land cover for Jersey) and CLC2012_GG (Corine land cover for Guernsey). The projected coordinate system has been converted to WGS 84.","locations":["POLYGON((-8.648 49.146, -8.648 60.861, 1.768 60.861, 1.768 49.146, -8.648 49.146))"],"metadataDate":"2026-06-27T19:41:42.000Z","orcid":["https://orcid.org/0000-0002-3822-7302","https://orcid.org/0000-0002-1804-6205","https://orcid.org/0000-0002-5381-0504","https://orcid.org/0000-0002-9053-4684"],"organisation":["University of Leicester","Specto Natura","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1435045308309","CEH:EIDC::1435045308309","https://catalogue.ceh.ac.uk/id/32533dd6-7c1b-43e1-b892-e80d61a5ea1d","10.5285/32533dd6-7c1b-43e1-b892-e80d61a5ea1d","doi:10.5285/32533dd6-7c1b-43e1-b892-e80d61a5ea1d"],"resourceType":"Dataset","ror":["https://ror.org/04h699437","https://ror.org/05wn3nd60","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset for the UK, Jersey and Guernsey contains the Corine Land Cover (CLC) for 2012 (CLC2012). This dataset has been created from combining the 2012 land cover layers from the individual CLC files for the UK, Jersey and Guernsey. \n\nCLC is a dataset produced within…","state":"published","supplementalDescription":["Links to Pan-European High Resolution Layers (HRL) which provide information on specific land cover characteristics, and are complementary to the CORINE land cover (CLC) datasets."],"supplementalName":["Copernicus website"],"title":"Corine land cover 2012 for the UK, Jersey and Guernsey","topic":["0/Mapping/"],"version":1.0,"view":["public","hajd","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover. \n\nA full description of this and all UKCEH LCM2022 products are available from the LCM2022 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"1e09f53f-55de-4960-b2a1-da2a42029e7e","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","mapping","land cover"],"keywordsOther":["Biodiversity Action Plan","mapping","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.  \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2022 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T15:37:53.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1e09f53f-55de-4960-b2a1-da2a42029e7e","10.5285/1e09f53f-55de-4960-b2a1-da2a42029e7e","doi:10.5285/1e09f53f-55de-4960-b2a1-da2a42029e7e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 10m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a two-band raster in GeoTiff format. The first band gives the most likely land cover type;…","state":"published","title":"Land Cover Map 2022 (10m classified pixels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Northumbria University"],"authorFamilyName":["Westoby"],"authorFullName":["Westoby, M."],"authorGivenName":["M."],"authorOrcid":["https://orcid.org/0000-0002-2070-5580"],"authorRor":["https://ror.org/049e6bc10"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF","Shapefile"],"description":"These data are digital elevation models (DEMs) of difference (DoD). They are a geospatial dataset created in raster (.tif) format and quantify vertical (z) topographic change between two dates.  The data were created to support analysis of landscape change following the 7th February 2021 avalanche-debris flow in Chamoli District, Uttarakhand, India. \n\nThe data also supported numerical modelling using CAESAR-Lisflood (see related data https://catalogue.ceh.ac.uk/documents/7023cb77-c797-475e-872c-6f1e2b63dcc1). They are most commonly imported into GIS software, where they can be analysed or support other forms of geospatial analysis.","documentType":"GEMINI_DOCUMENT","familyName":["Westoby"],"fullName":["Westoby, M."],"funder":["Natural Environment Research Council"],"givenName":["M."],"grant":["NE/W002930/1"],"identifier":"f5394eaa-5ccb-4cf7-9ee4-c057c35b8517","incomingCitationCount":0,"keyword":["Himalaya","Uttarākhand","Chamoli","Digital elevation model","Change detection","Topographic reconstruction","remote sensing","digital land model"],"keywordsOther":["Digital elevation model","Change detection","Topographic reconstruction","remote sensing","digital land model"],"keywordsPlace":["Himalaya","Uttarākhand","Chamoli"],"licence":"Open government licence","lineage":"The DEMs from which these DoDs were created are available in the related data collection. The DoDs were created in QGIS software (versions 3.18 and 3.24) using the Raster Calculator tool. For a given DEM pair, the later DEM was subtracted from the earlier DEM to create a DoD. In this way, minus values show surface lowering (e.g. erosion), and positive values show surface gain (e.g. deposition). Where holes/data gaps existed in the input DEMs, these are reproduced in the subsequent DoD. (These holes occur where photogrammetric reconstruction failed due to poor key-point or tie-point extraction due to cloud cover, topographic occlusion, or because of a large offset between the view angle of the two satellite image acquisitions, for example).","locations":["POLYGON((79.471 30.471, 79.471 30.595, 79.764 30.595, 79.764 30.471, 79.471 30.471))"],"metadataDate":"2026-06-29T17:04:57.000Z","orcid":["https://orcid.org/0000-0002-2070-5580"],"organisation":["Northumbria University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f5394eaa-5ccb-4cf7-9ee4-c057c35b8517","10.5285/f5394eaa-5ccb-4cf7-9ee4-c057c35b8517","doi:10.5285/f5394eaa-5ccb-4cf7-9ee4-c057c35b8517"],"resourceType":"Dataset","rightsHolder":["Northumbria University"],"ror":["https://ror.org/049e6bc10","https://ror.org/04xw4m193"],"shortenedDescription":"These data are digital elevation models (DEMs) of difference (DoD). They are a geospatial dataset created in raster (.tif) format and quantify vertical (z) topographic change between two dates.  The data were created to support analysis of landscape change following…","state":"published","title":"High-resolution (2 metre) digital elevation models of difference showing surface change following the Chamoli ice-debris flow, India, February 2021","version":1.0,"view":["public","shofer"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Ford","Garbutt","Skov"],"authorFullName":["Ford, H.","Garbutt, A.","Skov, M."],"authorGivenName":["H.","A.","M."],"authorOrcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises the field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at six salt marsh sites at four spatial scales: 1 metre (m) (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013. Samples were taken using a bulk density ring. Soil moisture content was determined by weighing the samples as fresh field mass and then again after being dried out at 105 degrees Celsius for 72 hours. \n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. \n","documentType":"GEMINI_DOCUMENT","familyName":["Ford","Garbutt","Skov"],"fullName":["Ford, H.","Garbutt, A.","Skov, M."],"funder":["Natural Environment Research Council"],"givenName":["Hilary","H.","A.","M."],"grant":["NE/J015644/1"],"identifier":"125a899b-8f10-4803-a6cf-a2fb1739746f","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)","Salt marsh","soil moisture content","soil"],"keywordsOther":["Salt marsh","soil moisture content","soil"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["CBESS (Coastal Biodiversity and Ecosystem Service Sustainability)","BESS (Biodiversity and Ecosystem Service Sustainability)"],"licence":"Open government licence","lineage":"Field soil moisture was measured from bulk density samples taken at roughly 0-10 centimetre (cm), 10-20 cm and 20-30 cm depth zones with a 3.1 cm height, 7 cm diameter bulk density ring for each quadrat. Samples were weighed (in grams to two decimal places) at fresh field mass then again after 72 hours at 105 degrees Celsius to determine water content. Data were recorded onto field sheets. These data were transferred into an Excel spreadsheet and calculations carried out. Results were exported as comma separated value files for ingestion into the EIDC. The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 metre (m) to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). ","locations":["POLYGON((-3 51.687, -3 54.25, 1.005 54.25, 1.005 51.687, -3 51.687))"],"metadataDate":"2026-06-29T16:34:01.000Z","orcid":["https://orcid.org/0000-0002-9882-6972","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865"],"organisation":["Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-05-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/125a899b-8f10-4803-a6cf-a2fb1739746f","10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f","doi:10.5285/125a899b-8f10-4803-a6cf-a2fb1739746f"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises the field soil moisture content expressed as a percentage at three depth zones, (0 - 10 centimetre (cm), 10 - 20 cm and 20 - 30 cm), measured from bulk density soil samples taken within each 1 metre x 1 metre quadrat. Sampling was conducted at…","state":"published","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) soil moisture content from three soil depths on salt marsh sites at Morecambe Bay and Essex","version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service shows estimates of stock (length) of linear features across Great Britain in 2007, 1998, 1990 and 1984. The data are national estimates generated by analysing the sample data from 1km squares surveyed for the Countryside Survey in each of those years, then scaling up to a national level. The data are presented as the estimated mean length of linear features (hedgerows, walls, fences, banks, grass strips and tree lines) per 1km square within 45 different Land Class types based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","identifier":"dddc328b-6010-4d4f-8ef4-af1b14d93d3c","incomingCitationCount":0,"keyword":["Mapping","hedges","walls","fences","banks","grass strips","tree lines","hedgerows","Monitoring & Observing Systems","infoMapAccessService "],"keywordsOther":["hedges","walls","fences","banks","grass strips","tree lines","hedgerows","Monitoring & Observing Systems","infoMapAccessService "],"keywordsTheme":["Mapping"],"licence":"Non-Open government licence","lineage":"Data were recorded from up to 591 1km squares sited across Britain, selected by random stratified sample. The data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology. Estimates are presented by ITE Land Class (2007 version), as mean length per km square per Land Class. See online documentation associated with each dataset for further information.","locations":["POLYGON((-8.34 49.89, -8.34 60.84, 2.7 60.84, 2.7 49.89, -8.34 49.89))"],"metadataDate":"2026-06-27T18:14:13.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-12-12T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dddc328b-6010-4d4f-8ef4-af1b14d93d3c"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service shows estimates of stock (length) of linear features across Great Britain in 2007, 1998, 1990 and 1984. The data are national estimates generated by analysing the sample data from 1km squares surveyed for the Countryside Survey in each of those…","state":"published","title":"Estimates of linear feature lengths in Great Britain [Countryside Survey] web map service (WMS)","topic":["0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The data consists of 23 bands. Each band represents a target class, broadly representing a Broad Habitat, and within the band each 1km pixel represents a percentage cover value of that class. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["Dan"],"identifier":"5ff7f210-22d9-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-9.23 49.84, -9.23 60.85, 2.69 60.85, 2.69 49.84, -9.23 49.84))"],"metadataDate":"2026-03-26T13:39:20.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5ff7f210-22d9-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The data consists of 23 bands. Each band represents a target class, broadly representing a Broad Habitat, and within the band each 1km pixel represents a percentage cover value…","state":"published","title":"Land Cover Map 2007 (1km percentage target class, GB) v1.2 Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"This dataset is from an automatic weather station (AWS) located at the Pontbren study site in mid-Wales, UK. The AWS was installed at the Bowl study site, an area of improved grassland, between 2006-2010 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. The parameters measured by the AWS were; incident radiation, wind speed and direction, soil and air temperature, relative humidity and net radiation. All sensors are sampled every one minute and provided in the form of daily and ten-minute averages. Data are provided in the form of .txt files and 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. Details of the dataset and the quality assurance coding system (Appendix A) are provided in the supporting documentation. Other measurements taken at the Bowl include monitoring runoff from an improved grassland field in the form of overland and drain flow, soil water tension, soil volumetric moisture content, groundwater height and precipitation.","documentType":"GEMINI_DOCUMENT","familyName":["Marshall"],"fullName":["Marshall, M."],"givenName":["Miles"],"identifier":"7afa3b6a-c5c9-4ec5-9e1c-f162411f51cc","incomingCitationCount":0,"keyword":["United Kingdom","Wales","Pontbren","Climate and climate change","soil","flooding","hydrology","flood risk management"],"keywordsOther":["soil","flooding","hydrology","flood risk management"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Climate and climate change"],"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 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":"2026-06-27T20:05:47.000Z","organisation":["NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2012-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331809601210","CEH:EIDC::1331809601210","https://catalogue.ceh.ac.uk/id/7afa3b6a-c5c9-4ec5-9e1c-f162411f51cc"],"resourceType":"Dataset","ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"This dataset is from an automatic weather station (AWS) located at the Pontbren study site in mid-Wales, UK. The AWS was installed at the Bowl study site, an area of improved grassland, between 2006-2010 as part of the Pontbren Catchment Study Land Use and Management…","state":"published","supplementalDescription":["Marshall, M. R., Francis, O. J., Frogbrook, Z. L., Jackson, B. M., McIntyre, N., Reynolds, B., ... Chell, J. (2009). The impact of upland land management on flooding: results from an improved pasture hillslope. Hydrological Processes, 23(3), 464-475. ","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)"],"supplementalName":["FRMRC website"],"title":"Pontbren automatic weather station (AWS) dataset","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ca' Foscari University of Venice"],"authorFamilyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"authorFullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"authorGivenName":["M.","H.","I.","D.G.","V.D.J."],"authorOrcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X","https://orcid.org/0000-0003-4489-5363"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/04yzxz566"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019.\n\nThe rainfall estimates are derived from the Met Office national database of observed precipitation. To derive the estimates, monthly and daily (when complete month available) precipitation totals from the UK rain gauge network are used. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly estimates. The estimated rainfall on a given day refers to the rainfall amount precipitated in 24 hours between 9am on that day until 9am on the following day.\n\nThe CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy","Dixon","Prosdocimi","Morris","Keller"],"fullName":["Tanguy, M.","Dixon, H.","Prosdocimi, I.","Morris, D.G.","Keller, V.D.J."],"givenName":["Mailko","M.","H.","I.","D.G.","V.D.J."],"identifier":"dbf13dd5-90cd-457a-a986-f2f9dd97e93c","incomingCitationCount":9,"keyword":["United Kingdom","Flood and Droughts Digital Research Infrastructure (FDRI)","Climate and climate change","rainfall","CEH-GEAR"],"keywordsOther":["rainfall","CEH-GEAR"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The rainfall estimates are derived from the Met Office national database of observed precipitations. To derive the monthly estimates, monthly and daily (when complete month available) precipitation totals from the UK raingauge network are used. An additional quality control step (data already quality controlled by the Met Office) was introduced to check events greater than the 200 year return period. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall (SAAR61-90), was used to generate the daily and monthly rainfall grids. The daily grids are adjusted so that the monthly totals calculated from those are in agreement with the monthly grids. As an indicator of the quality of the estimates, the dataset also contains for each grid generated a grid containing the distance to the closest raingauge used to interpolate the grid point. A grid containing the number of missing estimates for each year is also provided. The CEH-GEAR dataset has been developed according to the guidance provided in BS 7843-4:2012.\n\nThis version of the CEH-GEAR dataset differs from the previous version (1890-2017) only by temporal coverage. That is, previous years' data have not been modified.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T18:17:00.000Z","orcid":["https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-7415-063X","https://orcid.org/0000-0001-8565-094X","https://orcid.org/0000-0003-4489-5363"],"organisation":["UK Centre for Ecology & Hydrology","Ca' Foscari University of Venice","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-11-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dbf13dd5-90cd-457a-a986-f2f9dd97e93c","10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c","doi:10.5285/dbf13dd5-90cd-457a-a986-f2f9dd97e93c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04yzxz566","https://ror.org/04xw4m193"],"shortenedDescription":"1 km gridded estimates of daily and monthly rainfall for Great-Britain and Northern Ireland (together with approximately 3000 km2 of catchment in the Republic of Ireland) from 1890 to 2019.\n\nThe rainfall estimates are derived from the Met Office national database of…","state":"published","title":"Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2019) [CEH-GEAR]","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Brooks","Emmett"],"authorFullName":["Reinsch, S.","Brooks, M.","Emmett, B.A."],"authorGivenName":["S.","M.","B.A."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset combines average daily temperature and soil moisture data from nine experimental plots at the climate change field site Climoor located in Clocaenog forest, NE Wales. Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3).\n\nThe experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8).\n\nData is an extension of the micromet datasets covering 1998-2015 and 2015-2016; adding the time period September 2016 to December 2021. Soil temperatures were measured with T107 sensors, and soil moisture was measured with CS616 sensors, both from Campbell scientific. Temperature and moisture data were recorded in minute intervals, and automatically averaged as half-hourly by the data logger. Half-hourly data were automatically transferred to CEH/UKCEH servers using remote telemetry. Data which were not recorded are marked with “NA”, faulty data were replaced with “-9999”.\n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development with time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.\n","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Brooks","Emmett"],"fullName":["Reinsch, S.","Brooks, M.","Emmett, B.A."],"funder":["Natural Environment Research Council"],"givenName":["S.","M.","B.A."],"grant":["NE/R016429/1"],"identifier":"5d90d356-5b2c-4ce0-927a-e26efacff015","incomingCitationCount":0,"keyword":["Climate and climate change","plot level data","UK","Wales","climate change","heathland","meteorology"],"keywordsOther":["plot level data","UK","Wales","climate change","heathland","meteorology"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data are recorded in minute intervals, automatically averaged to half-hourly by the data-logger and stored as such. The half-hourly data was transferred from loggers at the field site onto UKCEH servers via a remote telemetry system. Each morning, the previous days data was transferred.\n\nThis dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Soil and air temperatures were measured with a T107 sensor, and soil moisture was measured with CS616 sensors, both from Campbell scientific. \n\nAn automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data into daily averages. Data was then cut and pasted into raw data files. Data here is collated raw data and has only had erroneous values removed followed by basic average or summing (in the case of rainfall) calculations being carried out. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”.\n\nData was transferred from the raw data files into comma separated value files for transfer into the Environmental Information Data Centre.\nData were collected from the climate change field site Climoor which is located in Clocaenog forest, NE Wales. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours, and three plots where rainfall is excluded from the plots at least during the plants growing season. \n","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-06-30T16:34:13.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-2713-4389"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5d90d356-5b2c-4ce0-927a-e26efacff015","10.5285/5d90d356-5b2c-4ce0-927a-e26efacff015","doi:10.5285/5d90d356-5b2c-4ce0-927a-e26efacff015"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset combines average daily temperature and soil moisture data from nine experimental plots at the climate change field site Climoor located in Clocaenog forest, NE Wales. Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil…","state":"published","title":"Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2016-2021","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Wildlife Farming Company"],"authorFamilyName":["Wagner","Bullock","Redhead","Hulmes","Peyton","Amy","Nowakowski","Hooftman","Pywell"],"authorFullName":["Wagner, M.","Bullock, J.M.","Redhead, J.W.","Hulmes, S.","Hulmes, L.","Peyton, J.","Amy, S.","Nowakowski, M.","Hooftman, D.A.P.","Pywell, R.F."],"authorGivenName":["M.","J.M.","J.W.","S.","L.","J.","D.A.P.","R.F."],"authorOrcid":["https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0002-8313-6194","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of vegetation abundance data from four experiments investigating the management of arable field options for rare plants. These experiments consisted of a margin management experiment, a herbicide screening experiment, a cereal headland experiment and a crop rotation experiment. All experiments were conducted between 2011 and 2014. The margin management experiment investigated the effects of different cultivation timing and methods and herbicide treatments on the vegetation species composition and abundance within arable field margins. The herbicide screening experiment investigated the effects of different herbicides and their timing of application on the condition of fifteen species of rare arable plants. The cereal headland experiment investigated the effects of standard cereal sowing density versus reduced cereal sowing density, and of standard application of N fertilizer vs no application, on sown rare arable species and on the spontaneous weed flora of cereal stands. The crop rotation experiment was designed to provide baseline data for modelling population dynamics of rare arable species in relation to crop rotation scenarios. The data comes from a project funded by Defra (BD5204: Improving the management and success of arable plant options in ELS and HLS).","documentType":"GEMINI_DOCUMENT","familyName":["Wagner","Bullock","Redhead","Hulmes","Peyton","Amy","Nowakowski","Hooftman","Pywell"],"fullName":["Wagner, M.","Bullock, J.M.","Redhead, J.W.","Hulmes, S.","Hulmes, L.","Peyton, J.","Amy, S.","Nowakowski, M.","Hooftman, D.A.P.","Pywell, R.F."],"givenName":["M.","J.M.","J.W.","S.","L.","J.","D.A.P.","R.F."],"identifier":"4592780d-734f-4f62-9780-87afe27555d2","incomingCitationCount":0,"keyword":["Biodiversity","landscape management","herbicide","arable farming"],"keywordsOther":["landscape management","herbicide","arable farming"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Quality assurance for data from these experiments consisted of checking for outliers, of spot checking of input data, and in the case of vegetation data, of checking and correcting for ID inconsistencies among recorders, and, where necessary, forming species aggregates.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-06-29T16:12:49.000Z","orcid":["https://orcid.org/0000-0003-0529-4020","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0002-8313-6194","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","Wildlife Farming Company","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2016-02-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4592780d-734f-4f62-9780-87afe27555d2","10.5285/4592780d-734f-4f62-9780-87afe27555d2","doi:10.5285/4592780d-734f-4f62-9780-87afe27555d2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of vegetation abundance data from four experiments investigating the management of arable field options for rare plants. These experiments consisted of a margin management experiment, a herbicide screening experiment, a cereal headland experiment…","state":"published","title":"Data from the experimental management of arable field options for rare plants","topic":["0/Biodiversity/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Institute of Terrestrial Ecology"],"authorFamilyName":["Parr","Bunce","Munro","Wood","Procter","Dodd","Balmer","Walker","Draycott","Wright"],"authorFullName":["Parr, T.W.","Bunce, R.G.H.","Munro, R.C.","Wood, C.M.","Procter, J.E.A.","Dodd, B.A.","Balmer, C.","Walker, A.","Draycott, T.","Wright, K.L."],"authorGivenName":["T.W.","R.G.H.","R.C.","C.M.","J.E.A.","B.A.","C.","A.","T.","K.L."],"authorOrcid":["https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"A survey of the extent and species composition of the deciduous woodlands of Scotland (including those with some admixture of conifers) was undertaken between 1976 and 1979, by the Institute of Terrestrial Ecology, funded by the Natural Environment Research Council and the Nature Conservancy Council. A census of deciduous woodlands in Scotland was made (as marked on British Ordnance Survey (OS) maps, 7th Series 1:63,360), between 1976 and 1979. A desk-based map search was undertaken in the first instance, followed by field ground-truthing.","documentType":"GEMINI_DOCUMENT","familyName":["Parr","Bunce","Munro","Wood","Procter","Dodd","Balmer","Walker","Draycott","Wright"],"fullName":["Parr, T.W.","Bunce, R.G.H.","Munro, R.C.","Wood, C.M.","Procter, J.E.A.","Dodd, B.A.","Balmer, C.","Walker, A.","Draycott, T.","Wright, K.L."],"funder":["Natural Environment Research Council","Nature Conservancy Council"],"givenName":["T.W.","R.G.H.","R.C.","C.M.","J.E.A.","B.A.","C.","A.","T.","K.L."],"identifier":"7b2eb903-e513-4210-a073-fddb6aa73291","incomingCitationCount":0,"keyword":["Environmental survey","Scotland","deciduous woodland","tree species","field survey"],"keywordsOther":["Scotland","deciduous woodland","tree species","field survey"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"The data were originally collected by members of staff at the Institute of Terrestrial Ecology, first as a desk-based exercise, and then during a field survey. A data rescue exercise was undertaken to re-digitise the data from the raw data sheets between 2019 and 2023.  Quality checks were undertaken both at the time of the field collection, and later following data entry. Further detail is available in the supporting documentation.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:13:17.000Z","orcid":["https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Institute of Terrestrial Ecology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-07-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7b2eb903-e513-4210-a073-fddb6aa73291","10.5285/7b2eb903-e513-4210-a073-fddb6aa73291","doi:10.5285/7b2eb903-e513-4210-a073-fddb6aa73291"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"A survey of the extent and species composition of the deciduous woodlands of Scotland (including those with some admixture of conifers) was undertaken between 1976 and 1979, by the Institute of Terrestrial Ecology, funded by the Natural Environment Research Council…","state":"published","title":"Extent and tree species composition from a Scottish deciduous woodland survey, 1976-1979","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["National Institute of Amazonian Research","Nanyang Technological University","University of Exeter"],"authorFamilyName":["Lugli","Quesada","Andersen","Mercado","Martins","Moraes","Hartley"],"authorFullName":["Lugli, L.F.","Quesada, C.A.","Andersen, K.M.","Mercado, L.M.","Martins, M.P.","Moraes, A.C.M.","Hartley, I.P."],"authorGivenName":["L.F.","C.A.","K.M.","L.M.","M.P.","A.C.M.","Iain P."],"authorOrcid":["https://orcid.org/0000-0001-8404-4841","https://orcid.org/0000-0002-1460-9904","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-9183-6617"],"authorRor":["https://ror.org/01xe86309","https://ror.org/02e7b5302","https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of carbon, micro and macro nutrient concentrations in fine roots (<2mm diameter) in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Carbon and nutrient concentrations refer to year one of fertilisation, bulking samples from November 2017 to August 2018. Concentrations are given as a mean of the community per plot in year 1, where five points inside each plot were sampled in the 0-10 cm and 10-30 cm soil layers. The dataset depicts the concentrations of iron, zinc, manganese, calcium, magnesium, potassium, phosphorus, nitrogen and carbon in fine roots in two different soil depths.  \n\nSamples were collected at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA). \n\nThe study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship).\n","documentType":"GEMINI_DOCUMENT","familyName":["Lugli","Quesada","Andersen","Mercado","Martins","Moraes","Hartley"],"fullName":["Lugli, L.F.","Quesada, C.A.","Andersen, K.M.","Mercado, L.M.","Martins, M.P.","Moraes, A.C.M.","Hartley, I.P.","Lugli, L."],"funder":["Natural Environment Research Council"],"givenName":["L.F.","C.A.","K.M.","L.M.","M.P.","A.C.M.","Iain P.","Laynara"],"identifier":"ba190356-1731-4558-be7a-3fedc570663a","incomingCitationCount":0,"keyword":["Brazil","Manaus","Soil","Environmental survey"],"keywordsPlace":["Brazil","Manaus"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Samples < 2mm diameter were bulked by plot and soil depth (0-10cm and 10-30cm) using root material collected in 4-time intervals, from November 2017 to August 2018. After dried, samples were ground using a knife and/ or ball mill for nutritional analysis. Micronutrients, phosphorus and cations were extracted by nitroperchloric digestion. Cations and micronutrients were determined by atomic absorption spectrophotometry, whilst phosphorus was determined by spectrophotometry. Carbon and nitrogen concentrations were determined using an automatic C and N analyser.","locations":["POLYGON((-68.5 -24.6, -68.5 5.1, -31.7 5.1, -31.7 -24.6, -68.5 -24.6))"],"metadataDate":"2026-06-29T17:18:20.000Z","orcid":["https://orcid.org/0000-0001-8404-4841","https://orcid.org/0000-0002-1460-9904","https://orcid.org/0000-0003-4069-0838","https://orcid.org/0000-0002-9183-6617"],"organisation":["National Institute of Amazonian Research","Nanyang Technological University","University of Exeter","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-04-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ba190356-1731-4558-be7a-3fedc570663a","10.5285/ba190356-1731-4558-be7a-3fedc570663a","doi:10.5285/ba190356-1731-4558-be7a-3fedc570663a"],"resourceType":"Dataset","ror":["https://ror.org/01xe86309","https://ror.org/02e7b5302","https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of carbon, micro and macro nutrient concentrations in fine roots (<2mm diameter) in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment.…","state":"published","title":"Fine root nutrient concentration in fertilised plots in the Central Amazon, 2018","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Masante","Thomas"],"authorFullName":["Masante, D.","Thomas, A.R.C."],"authorGivenName":["D.","A.R.C."],"authorOrcid":["https://orcid.org/0000-0002-4929-7285"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data are metrics of landscape configuration and modelled provision of Ecosystem services for a large number of virtual landscapes (c. 7500) superimposed on real topography. The landscapes are made up of patches of woodland interspersed across a grassland, and were generated with the landscapeR package in R.  The topography used is from the Conwy catchment, split into 10 sections to enable comparison between topographies. Metrics were generated for each virtual landscape to quantify landscape configuration. An Ecosystem Services model (LUCI) was run to calculate a metric of “area mitigated” as a proxy for the provision of runoff mitigation Ecosystem Services. Simulated landscapes were established to answer two questions: firstly to identify the relative controls of patch area and fragmentation on service provision and secondly to identify catchment feature controls on these relationships. \n\nThe work was done by Dario Masante and Amy Thomas, with input from Laurence Jones, as part of work under the NERC Biodiversity and Ecosystem Services (BESS) project NERC Grant Ref: NE/K015508/1.","documentType":"GEMINI_DOCUMENT","familyName":["Thomas","Masante"],"fullName":["Thomas, A.","Masante, D.","Thomas, A.R.C."],"funder":["Natural Environment Research Council"],"givenName":["Amy","D.","A.R.C."],"grant":["NE/K015508/1"],"identifier":"67f9fe33-14dd-4676-9a6d-65fdbafe2a46","incomingCitationCount":1,"keyword":["landscape configuration","non-linear response","land use change","Ecosystem Service bundles","LandscapeR","Land Utilisation Capability Indicator (LUCI)","ecosystem services","land use"],"keywordsOther":["landscape configuration","non-linear response","land use change","Ecosystem Service bundles","LandscapeR","Land Utilisation Capability Indicator (LUCI)","ecosystem services","land use"],"licence":"Open government licence","lineage":"Relatively simple landscapes were produced consisting of two components in varying landscape configurations. To do this LandscapeR, was artificially set with the whole area as improved grassland. Patches of woodland were then added within this landscape, in controlled combinations of patch area and number of patches. LandscapeR was set to expand patches in circular patterns to minimise the influence of patch shape on our analysis.\nIn the first stage of the simulation, 100 simulated landscape configurations of woodland patches and improved grassland were created for the Hiraethlyn sub-catchment, allocating patches randomly up to the user input number of patches and area of coverage.\n\nIn the second phase of analysis,  the landscape generation approach was repeated for 10 test areas. For this phase, landscape proportion and patch number were not pre-set, so the landscapes generated have random numbers of patches and fall along a continuum from 0-100% woodland, instead of being clustered around set landscape proportions.\n\nThe Land Utilisation Capability Indicator (LUCI) model was run for each landscape to provide a value of “area mitigated”. For both datasets, landscape metrics were calculated using SDMTools and SAGA terrain modules in R.\nQA: Note that as patches start accumulating in the landscape, they merge and so the complexity of patch shapes inevitably increases. For dataset “Output_SummaryHiraethlyn”, since patch placement was random, some user set combinations were not achieved in the output, due to merging of patches, reducing the actual number of patches. To minimise merging, when allocation resulted in a lesser number of patches than seeded, the process was repeated until the seed number was reached, or the highest in one hundred trials. User input landscape proportion was given preference over achieving the number of patches. Merging may therefore result in a negative correlation between landscape proportion and number of patches across the dataset, and we must take this into account when analysing the outputs.\n\nData were output to Excel spreadsheets. Data was then exported to comma separated files for ingestion into the EIDC.","locations":["POLYGON((-3.966 53.028, -3.966 53.278, -3.724 53.278, -3.724 53.028, -3.966 53.028))"],"metadataDate":"2026-06-29T16:17:08.000Z","orcid":["https://orcid.org/0000-0002-4929-7285"],"organisation":["NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology"],"publicationDate":"2019-09-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/67f9fe33-14dd-4676-9a6d-65fdbafe2a46","10.5285/67f9fe33-14dd-4676-9a6d-65fdbafe2a46","doi:10.5285/67f9fe33-14dd-4676-9a6d-65fdbafe2a46"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"These data are metrics of landscape configuration and modelled provision of Ecosystem services for a large number of virtual landscapes (c. 7500) superimposed on real topography. The landscapes are made up of patches of woodland interspersed across a grassland, and…","state":"published","supplementalDescription":["The landscapeR package was used to vary simulated land cover under controlled conditions, superimposed on real topography. "],"supplementalName":[" landscapeR package","Land Utilisation Capability Indicator (LUCI) website"],"title":"Simulated landscape metrics of configuration and Ecosystem Service provision across virtual landscapes, based within River Conwy ","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Hatton"],"authorFullName":["Reinsch, S.","Hatton, J."],"authorGivenName":["S.","J."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-9408-7981"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars), net radiation (millivolts), solar radiation (kilowatts per square metre per second), photosynthetic active radiation (PAR), (micromol per square metre per second), wind speed (metres per second) and wind direction (degrees). \n\nData is an extension for the AWS datasets 1999-2015, 2015-2016, 2016-2021, 2022-2023 and covering the time period January 2024 to December 2024. Data are logged in minute intervals, averaged to half-hourly. Data are sent from the field site to a UKCEH server. A working copy is created, quality assurance checks carried out and daily averages calculated from half-hourly records. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”. Note, the rainfall sensor was broken during this time period, but the column is kept in the datafile for consistency with previous data records. Data collection, processing and quality checking was carried out by members of CEH and UKCEH staff.\n\nThe following measures were taken with sensors from Campbell Scientific: Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed were recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.\n\nThe Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. The reported data are collected to monitor site specific environmental conditions and their development over time. These data are important to interpret results that are collected from the climate change manipulations imposed in the field.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Hatton"],"fullName":["Reinsch, S.","Hatton, J."],"funder":["Natural Environment Research Council"],"givenName":["Sabine","S.","J."],"grant":["NE/Y006208/1"],"identifier":"6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a","incomingCitationCount":0,"keyword":["NC-UK","Climate and climate change","meteorological data","climate change","heathland"],"keywordsOther":["meteorological data","climate change","heathland"],"keywordsProject":["NC-UK"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"Data were recorded every minute, then automatically averaged to half-hourly data by the data-logger. The half-hourly data were transferred from loggers at the field site onto UKCEH Bangor servers via remote telemetry. Each morning, the previous day’s data was transferred to the server. Data were then averaged to daily values.\nAn automated script transferred the data into the project shared area of the shared network drive. Data quality checking was performed at the end of each calendar year. Telemetered data were processed using R. Data were averaged to daily values and inspected visually. Erroneous values were removed taken into account the annual cycle. A .csv file was produced from the quality assessed data.\n\nThe following measures were taken with sensors from Campbell Scientific: relative humidity and air temperature are recorded with an HMP45C sensor. Rainfall sums are measured with an ARG100 Tipping bucket, air pressure is measured with a CS100 Barometer and net radiation is measured with an NR-Lites sensor. Further, Solar radiation and PAR are measured using a Skye SP1110 pyranometer and a SKP215 quantum sensor from Skye Instruments. Wind direction and speed are recorded using a windsonic 2D Ultrasonic Anemometer from Windsonic.","locations":["POLYGON((-3.479 53.033, -3.479 53.077, -3.391 53.077, -3.391 53.033, -3.479 53.033))"],"metadataDate":"2026-06-29T16:42:50.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0002-9408-7981"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-03-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a","10.5285/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a","doi:10.5285/6b3b766f-4d04-4a41-b2a4-6ca2dd1ea23a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset holds daily data from one automated weather station (AWS) located at the Climoor field site in Clocaenog forest, North East Wales. The data are on relative humidity (percent), air temperature (degrees Celsius), rainfall (millimetres), air pressure (millibars),…","state":"published","title":"Daily automatic weather station (AWS) data from Climoor fieldsite in Clocaenog Forest, UK, 2024","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rennie"],"authorFullName":["Rennie, S."],"authorGivenName":["S."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains daily water discharge data from Trout Beck in the Moor House-Upper Teesdale National Nature Reserve in the northern Pennines, Cumbria, UK.   \n Data were automatically recorded at a gauging station located on a weir on the Trout Beck and collated by a variety of staff at the Moor House Research Station on behalf of the Wear and Tees River Board and the National Rivers Authority. ","documentType":"GEMINI_DOCUMENT","familyName":["Rennie"],"fullName":["Rennie, S."],"givenName":["S."],"identifier":"9e044339-dd06-4f69-b93c-40a79562931c","incomingCitationCount":0,"keyword":["Moor House - Upper Teesdale National Nature Reserve","Trout Beck","Northern Pennines","TIGER","Terrestrial Initiative in Global Environmental Research","Hydrology","Discharge","Gauging station","Weir","hydrology","freshwater","flow"],"keywordsOther":["Discharge","Gauging station","Weir","hydrology","freshwater","flow"],"keywordsPlace":["Moor House - Upper Teesdale National Nature Reserve","Trout Beck","Northern Pennines"],"keywordsProject":["TIGER","Terrestrial Initiative in Global Environmental Research"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"These data were collected by variety of staff at the Moor House Research Station on behalf of the Wear and Tees River Board and the National Rivers Authority (NRA) and stored in a database at the Centre for Ecology & Hydrology (as described by Cuthbertson, M. (1993).  A database for environmental research programmes.  Journal of Environmental Management, 37 (1993), pp. 291-300).  Note: There is a large peak in the discharge values in March 1979; there were no notes about this within in the database but it may be related to snow melt following a major snow event in the UK.","locations":["POLYGON((-2.386 54.687, -2.386 54.696, -2.375 54.696, -2.375 54.687, -2.386 54.687))"],"metadataDate":"2026-06-29T18:20:26.000Z","orcid":["https://orcid.org/0000-0002-0027-0436"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-02-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9e044339-dd06-4f69-b93c-40a79562931c","10.5285/9e044339-dd06-4f69-b93c-40a79562931c","doi:10.5285/9e044339-dd06-4f69-b93c-40a79562931c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily water discharge data from Trout Beck in the Moor House-Upper Teesdale National Nature Reserve in the northern Pennines, Cumbria, UK.   \n Data were automatically recorded at a gauging station located on a weir on the Trout Beck and collated…","state":"published","supplementalDescription":["Cuthbertson, M., 1993. A database for environmental research programmes. Journal of Environmental Management, 37(4), pp.291-300."],"title":"Water discharge data for Trout Beck, Cumbria 1961-1980","topic":["0/Hydrology/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Winfield","Fletcher"],"authorFullName":["Winfield, I.J.","Fletcher, J.M."],"authorGivenName":["I.J.","J.M."],"authorOrcid":["https://orcid.org/0000-0001-9296-5114","https://orcid.org/0000-0002-8788-8449"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of inshore surface water temperature (degrees C) data on Windermere. Data collection began in 1933, but it presented here from 1944 onwards. The data were initially collected by the Freshwater Biological Association (FBA), then by the UK Centre for Ecology & Hydrology (UKCEH) and its predecessor [the Institute of Freshwater Ecology (IFE)] from 1989 to 2003, and subsequently again by FBA.","documentType":"GEMINI_DOCUMENT","familyName":["Winfield","Fletcher"],"fullName":["Winfield, I.J.","Fletcher, J.M.","Winfield, I."],"givenName":["I.J.","J.M.","Ian"],"identifier":"9520664c-eb4d-4700-b064-5d215d23e595","incomingCitationCount":2,"keyword":["Windermere","Lake district","lake"],"keywordsOther":["lake"],"keywordsPlace":["Windermere","Lake district"],"licence":"Non-Open government licence","lineage":"The data were initially collected by the Freshwater Biological Association (FBA), then by CEH and its predecessor Institute of Freshwater Ecology (IFE) from 1989 to 2003, and subsequently again by FBA.  For further information, refer to the supporting documentation.","locations":["POLYGON((-2.99 54.26, -2.99 54.44, -2.91 54.44, -2.91 54.26, -2.99 54.26))"],"metadataDate":"2026-06-27T13:52:10.000Z","orcid":["https://orcid.org/0000-0001-9296-5114","https://orcid.org/0000-0002-8788-8449"],"organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2013-09-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1377850995377","CEH:EIDC::1377850995377","https://catalogue.ceh.ac.uk/id/9520664c-eb4d-4700-b064-5d215d23e595","10.5285/9520664c-eb4d-4700-b064-5d215d23e595","doi:10.5285/9520664c-eb4d-4700-b064-5d215d23e595"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of inshore surface water temperature (degrees C) data on Windermere. Data collection began in 1933, but it presented here from 1944 onwards. The data were initially collected by the Freshwater Biological Association (FBA), then by the UK Centre…","state":"published","title":"Windermere lake temperature data 1944-2002","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Puissant","Goodall"],"authorFullName":["Griffiths, R.I.","Puissant, J.","Goodall, T.I."],"authorGivenName":["R.I.","J.","T.I."],"authorOrcid":["https://orcid.org/0000-0002-3341-4547"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project staff experienced in soil core collection. Dry soil samples were analysed for a suit of extracellular hydrolytic enzyme activities. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. \n\nThe data were collected to help understand soil functional change in a variety of management and climatic scenarios as part of NERC U-GRASS (Understanding and enhancing soil ecosystem services and resilience in UK grass and croplands) award (NERC Reference NE/M017125/1) part of the NERC Soil Security Programme.\n","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Puissant","Goodall"],"fullName":["Griffiths, R.I.","Puissant, J.","Goodall, T.I."],"funder":["Natural Environment Research Council"],"givenName":["R.I.","J.","T.I."],"grant":["NE/M017125/1"],"identifier":"15026591-f803-4b18-a359-cd69ea0e6069","incomingCitationCount":0,"keyword":["Soil","paired","function","grassland","land use","enzyme"],"keywordsOther":["paired","function","grassland","land use","enzyme"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil samples were collected from 32 grassland sites across the United Kingdom and stored frozen at –20 degrees Celsius prior to subsequent processing for chemical, physical, molecular and functional characteristics. Analysis was carried out for a suit of extracellular hydrolytic enzyme activities were assessed. Fluorescently labeled substrates were used to enable the activity of the following enzymes to be measured. All analysis was carried out at CEH Wallingford. Results were returned from the laboratories compiled into an Excel spreadsheet. The compiled data set was exported as a comma separated value file for deposition into the EIDC.","locations":["POLYGON((-4.828 50.437, -4.828 56.249, 0.797 56.249, 0.797 50.437, -4.828 50.437))"],"metadataDate":"2026-06-29T18:11:57.000Z","orcid":["https://orcid.org/0000-0002-3341-4547"],"organisation":["NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology"],"publicationDate":"2019-09-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/15026591-f803-4b18-a359-cd69ea0e6069","10.5285/15026591-f803-4b18-a359-cd69ea0e6069","doi:10.5285/15026591-f803-4b18-a359-cd69ea0e6069"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/04xw4m193","https://ror.org/00pggkr55"],"shortenedDescription":"Data are presented of enzymatic activity of soil collected from paired intensive and extensive grassland systems including low and high pH parent soils, from 32 sites across the United Kingdom. The samples were collected during winter and spring 2015-2016 by project…","state":"published","title":"Soil functional measurements (enzymatic activities) across geo linked sampling locations, on grassland, UK (2016)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","description":"Standardised Precipitation Evapotranspiration Index (SPEI) data for different levels of Integrated Hydrological Units (IHU). 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 gamma distribution is 1961-2010. The datasets cover the period from 1961 to 2012. \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. Journal of Climate, 23(7), 1696–1718.. https://doi.org/10.1175/2009JCLI2909.1","documentType":"GEMINI_DOCUMENT","familyName":["Tanguy"],"fullName":["Tanguy, M."],"givenName":["Maliko"],"identifier":"fe7b9338-5418-486b-ac15-af2926a4f272","incomingCitationCount":0,"keyword":["SPEI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes","climatic water balance"],"keywordsOther":["SPEI","indicator","Integrated Hydrological Units","accumulation period","drought","rainfall extremes","climatic water balance"],"licence":"Non-Open government licence","lineage":"Lineage of children datasets explained in their metadata records","locations":["POLYGON((-7.557 49.766, -7.557 61.026, 3.5540000000000003 61.026, 3.5540000000000003 49.766, -7.557 49.766))"],"metadataDate":"2025-03-21T13:20:15.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fe7b9338-5418-486b-ac15-af2926a4f272"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"Standardised Precipitation Evapotranspiration Index (SPEI) data for different levels of Integrated Hydrological Units (IHU). 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…","state":"published","supplementalName":["CEH droughts portal"],"title":"Standardised Precipitation Evapotranspiration Index time series for Integrated Hydrological Units (1961-2012) ","version":1.0,"view":["public","malngu","nuri"]},{"authorAffiliation":["University of Stirling","NEIF Radiocarbon Laboratory"],"authorFamilyName":["Joly","Subke","Garnett"],"authorFullName":["Joly, F.X.","Subke, J.A.","Garnett, M."],"authorGivenName":["F.X.","J.A.","M."],"authorOrcid":["https://orcid.org/0000-0002-4453-865X","https://orcid.org/0000-0001-9244-639X","https://orcid.org/0000-0001-6486-2126"],"authorRor":["https://ror.org/045wgfr59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains the radiocarbon age of soil organic matter fractions collected along grassland-to-forest conversion chronosequences across Scotland. Soil samples were collected in summer 2018. \n\nIn summer 2019, soil samples were fractionated and the radiocarbon age of bulk soil and soil fraction samples determined by accelerator mass spectrometry.","documentType":"GEMINI_DOCUMENT","familyName":["Joly","Subke","Garnett"],"fullName":["Joly, F.X.","Subke, J.A.","Garnett, M.","Joly, F."],"funder":["Natural Environment Research Council"],"givenName":["F.X.","J.A.","M.","Francois-Xavier"],"grant":["NE/P011098/1"],"identifier":"0dd45f6f-0536-4ee3-9932-58bac019d2c6","incomingCitationCount":0,"keyword":["Grasslands","Scot pine","Coniferous forests","Soil carbon","Soil organic matter","Soil fractions","Radiocarbon","Scotland"],"keywordsOther":["Grasslands","Scot pine","Coniferous forests","Soil carbon","Soil organic matter","Soil fractions","Radiocarbon","Scotland"],"licence":"Open government licence","lineage":"All data were generated by the authors. All data were checked to ensure reported values were above the detection limit of the method. All calculations were checked for errors before data was accepted.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:16:46.000Z","orcid":["https://orcid.org/0000-0002-4453-865X","https://orcid.org/0000-0001-9244-639X","https://orcid.org/0000-0001-6486-2126"],"organisation":["University of Stirling","NEIF Radiocarbon Laboratory","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-06-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0dd45f6f-0536-4ee3-9932-58bac019d2c6","10.5285/0dd45f6f-0536-4ee3-9932-58bac019d2c6","doi:10.5285/0dd45f6f-0536-4ee3-9932-58bac019d2c6"],"resourceType":"Dataset","rightsHolder":["University of Stirling"],"ror":["https://ror.org/045wgfr59","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset contains the radiocarbon age of soil organic matter fractions collected along grassland-to-forest conversion chronosequences across Scotland. Soil samples were collected in summer 2018. \n\nIn summer 2019, soil samples were fractionated and the radiocarbon…","state":"published","title":"Radiocarbon dating of soil organic matter fractions along grassland-to-forest conversion chronosequences across Scotland","version":1.0,"view":["public","clwe"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=17"}