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The FTIR spectra were collected every 1 minute and saved in .csv files.","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T17:19:19.000Z","orcid":["https://orcid.org/0000-0003-4460-5178"],"organisation":["University of Strathclyde","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4a568f41-ab14-475c-b13e-3499277fef79","10.5285/4a568f41-ab14-475c-b13e-3499277fef79","doi:10.5285/4a568f41-ab14-475c-b13e-3499277fef79"],"resourceType":"Dataset","rightsHolder":["University of Strathclyde"],"ror":["https://ror.org/00n3w3b69","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains files of isothermal crystallisation of polylactic acid (PLA). The data was collected using a Fourier Transform Infrared (FTIR) spectrometer, with the temperature range spanning from 80 to 150 °C.","state":"published","title":"Isothermal crystallisation of PLA recorded using Fourier transform infrared spectroscopy (FTIR) at various crystallisation temperatures","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Stirling","Durham University"],"authorFamilyName":["Morley","Jump","Donoghue"],"authorFullName":["Morley, P.","Jump, A.","Donoghue, D."],"authorGivenName":["P.","A.","D."],"authorOrcid":["https://orcid.org/0000-0002-7503-2520","https://orcid.org/0000-0002-2167-6451","https://orcid.org/0000-0002-9931-9083"],"availability":"Available","catalogue":"eidc","dataFormat":["las","TIFF"],"description":"This dataset comprises co-aligned hyperspectral and LiDAR data collected of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. Data was collected using the Headwall Hyperspec Nano sensor flown from a unmanned aerial vehicle (UAV) in September 2020. The dataset comprises image and LiDAR data of four sites, each approximately 8ha in size. The study forests were subject to the extreme drought event that impacted central Europe in 2018/2019 and this project sought to collect data to enable individual tree and stand level assessment of the response (canopy damage and defoliation) of European beech trees to extreme drought events. The hyperspectral images available in this dataset have approx. 5cm pixel size with an associated LiDAR dataset and are suitable for identifying individual trees and the degree of canopy damage (defoliation, discolouration, and mortality) sustained by individuals/stands within the forest.\nThe work was supported by the Natural Environment Research Council (Grant NE/V00929X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Morley","Jump","Donoghue"],"fullName":["Morley, P.","Jump, A.","Donoghue, D."],"funder":["Natural Environment Research Council"],"givenName":["P.","A.","D."],"grant":["NE/V00929X/1"],"identifier":"23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76","incomingCitationCount":0,"keyword":["Germany","UAV","Hyperspectral","LiDAR","Extreme Drought","Canopy Condition","European beech","drought"],"keywordsOther":["UAV","Hyperspectral","LiDAR","Extreme Drought","Canopy Condition","European beech","drought"],"keywordsPlace":["Germany"],"licence":"Open government licence","lineage":"The Hyperspectral data were collected and have been processed to surface reflectance data and orthorectified by the NERC Field Spectroscopy Facility. The Facility has also cleaned the lidar data files to remove random points above the canopy. ","locations":["POLYGON((10.082 50.466, 10.082 50.508, 10.116 50.508, 10.116 50.466, 10.082 50.466))"],"metadataDate":"2026-06-29T15:40:17.000Z","orcid":["https://orcid.org/0000-0002-7503-2520","https://orcid.org/0000-0002-2167-6451","https://orcid.org/0000-0002-9931-9083"],"organisation":["University of Stirling","Durham University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-06-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76","10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76","doi:10.5285/23d6a61c-c1cf-4c1b-a65c-f3fe42fc0e76"],"resourceType":"Dataset","rightsHolder":["University of Stirling","Durham University"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises co-aligned hyperspectral and LiDAR data collected of European beech (Fagus sylvatica) forest within core protected areas of the UNESCO Rhӧn Biosphere Reserve, Germany. Data was collected using the Headwall Hyperspec Nano sensor flown from a unmanned…","state":"published","title":"Co-aligned hyperspectral and LiDAR data collected in drought-stressed European beech forest, Rhӧn Biosphere Reserve, Germany, 2020","version":1.0,"view":["public","matnic"]},{"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":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","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 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.\n\nThe 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2018 products are available from the LCM2017-19 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"9b68ee52-8a95-41eb-8ef1-8d29e2570b00","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","UK-SCAPE","map","habitat","land cover"],"keywordsOther":["Biodiversity Action Plan","UK-SCAPE","map","habitat","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. 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 LCM2018 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.\n\nThe 1 km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T15:38:47.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","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":"2022-11-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9b68ee52-8a95-41eb-8ef1-8d29e2570b00","10.5285/9b68ee52-8a95-41eb-8ef1-8d29e2570b00","doi:10.5285/9b68ee52-8a95-41eb-8ef1-8d29e2570b00"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action…","state":"published","title":"Land Cover Map 2018 (1km summary rasters, GB and N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","matnic"]},{"altTitle":["PSurf WFD","Surface pressure WFD"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\" (WATer and global CHange\") which ran from 2007-2011. The data was generated in 2 tranches with slightly different methodology: 1901-1957 and 1958-2001, but generally the dataset can be considered as continuous. More details regarding the generation process can be found in the associated WATCH technical report and paper in J. Hydrometeorology. To understand how the data grid is formed it is necessary to read the attached WFD-land-long-lat-z files either in NetCDF or DAT formats. The data covers land points only and excludes the Antarctica. PSurf or surface pressure is the surface pressure (instantaneous) measured in Pa at 6 hourly resolution and 0.5 x 0.5 degrees spatial resolution. ","documentType":"GEMINI_DOCUMENT","familyName":["Warnaars"],"fullName":["Warnaars, T."],"givenName":["Tanya"],"identifier":"8ebdd74c-ffec-4d5f-b832-e4916df694c8","incomingCitationCount":0,"keyword":["Modelling","Hydrology","Land surface modelling","hydrology","modelling","meteorology","atmosphere"],"keywordsOther":["Land surface modelling","hydrology","modelling","meteorology","atmosphere"],"keywordsTheme":["Modelling","Hydrology"],"licence":"Non-Open government licence","lineage":"These data were created as part of the EU FP6 project WATCH which was coordinated by NERC-CEH and ran from 2007-2011. The data were generated in two tranches according to time interval. The data from 1958-2001 were based on ECMWF (European Centre for Medium Range Weather Forecasting) \"ERA-40\" reanalysis data via interpolation, elevation correction and monthly bias correction from gridded observations. The data from 1901-1957 were created via re-ordering of the ERA-40 reanalysis one year at a time. For full details of the process see the WATCH technical report No 22 and Weedon (2011, J. Hydrometeorology). ","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T19:47:05.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2011-08-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1314893351656","CEH:EIDC::1314893351656","https://catalogue.ceh.ac.uk/id/8ebdd74c-ffec-4d5f-b832-e4916df694c8"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The WATCH Forcing data is a twentieth century meteorological forcing dataset for land surface and hydrological models. It consists of three/six-hourly states of the weather for global half-degree land grid points. It was generated as part of the EU FP 6 project \"WATCH\"…","state":"published","supplementalDescription":["Weedon, G.P.; Gomes, S.; Viterbo, P.; Shuttleworth, W.J.; Blyth, E.; Osterle, H.; Adam, J.C.; Bellouin, N.; Boucher, O.; Best, M.. 2011 Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12 (5). 823-848. "],"title":"WATCH forcing data (WFD) - 20th century PSurf (surface pressure) 1901-2001","topic":["0/Modelling/","0/Hydrology/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"authorFullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"authorGivenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Geography Markup Language (gml)","Shapefile"],"description":"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. It also covers Northern Ireland and 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, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Dataset consists of vector version, with polygons as classified (Northern Ireland only).","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith","Wadsworth","Simpson"],"fullName":["Morton, R.D.","Rowland, C.","Wood, C.M.","Meek, L.","Marston, G.","Smith, G.","Wadsworth, R.","Simpson, I."],"givenName":["R.D.","C.","C.M.","L.","G.","R.","I."],"identifier":"fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","incomingCitationCount":0,"keyword":["Northern Ireland","LCM2007","Land cover"],"keywordsOther":["LCM2007","Land cover"],"keywordsPlace":["Northern Ireland"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map 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((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-06-29T15:34:49.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2011-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1300189425068","CEH:EIDC::1300189425068","https://catalogue.ceh.ac.uk/id/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb","doi:10.5285/fdc3fd67-a0bc-4e94-950e-9cabd4e636bb"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"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…","state":"published","title":"Land Cover Map 2007 (vector, N. Ireland)","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology"],"authorFamilyName":["Botham","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"authorFullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B."],"authorGivenName":["Marc S","Ian","James","Colin A","Jo","David B"],"authorOrcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org /0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/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":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset. Users requiring access to the complete dataset, including sensitive site location data, can submit a request via the UKBMS website. The UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are new sites each year and a small number where the transect is no longer surveyed. Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed.\n\nThe majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types.\n\nThe UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), 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","Middlebrook","Heywood","Harrower","Milborrow","Roy"],"fullName":["Botham, M.S.","Middlebrook, I.","Heywood, J.","Harrower, C.A.","Milborrow, J.","Roy, D.B.","Dr Marc Botham"],"givenName":["Marc S","Ian","James","Colin A","Jo","David B","Marc"],"identifier":"d7256b49-f2e3-4ae7-907d-af729610c768","incomingCitationCount":0,"keyword":["Biodiversity","annual","butterflies","Leipidoptera","BReVI"],"keywordsOther":["annual","butterflies","Leipidoptera","BReVI"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Site location data provide details about the linear transect at each UKBMS site. Data on the location and length and width of each transect are provided by the recorder for each site. Data on how long each transect has been monitored is calculated as the time period between when a transect was first and last monitored.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:57:36.000Z","orcid":["https://orcid.org/0000-0002-5276-1405","https://orcid.org /0000-0002-0448-9144","https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0002-5147-0331"],"organisation":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d7256b49-f2e3-4ae7-907d-af729610c768","10.5285/d7256b49-f2e3-4ae7-907d-af729610c768","doi:10.5285/d7256b49-f2e3-4ae7-907d-af729610c768"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Butterfly Conservation","British Trust for Ornithology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey…","state":"published","title":"United Kingdom Butterfly Monitoring Scheme: site location data 2024","topic":["0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Eoclogy","Institute of Terrestrial Ecology","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of stock (length) data for linear features across Great Britain in 1984 in a vector format. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed for the Countryside Survey long term monitoring project, then scaling up to a national level. The data are presented as mean lengths per 1km square for seven different feature categories within 45 different land class types, based on the ITE Land Classification. The Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside, carried out by the Centre for Ecology & Hydrology. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to linear features, habitat areas, species plot, soil plot, freshwater habitat and satellite map data are also produced by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Maskell","Norton","Scott","Smart","Stuart","Whittaker","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Maskell, L.C.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Whittaker, H.A.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","L.C.","L.R.","R.J.","W.A.","S.M.","R.C.","H.A.","C.M.","Claire"],"identifier":"362bff26-d2ca-4700-b1f0-22072f4bc0cc","incomingCitationCount":0,"keyword":["Great Britain","hedges","walls","fences","banks","grass strips","tree lines"],"keywordsOther":["hedges","walls","fences","banks","grass strips","tree lines"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1984 by surveyors. Data were recorded from 384 1km squares sited across Britain, selected by random stratified sample. The boundary lines were digitized in the 1990s. The digitized data were used to generate national estimates of the stock of linear features for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version), as mean lengths per 1km square.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:13:19.000Z","orcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0001-9349-0069","https://orcid.org/0000-0003-2750-7832","https://orcid.org/0000-0002-0394-2998"],"organisation":["Institute of Terrestrial Eoclogy","Institute of Terrestrial Ecology","Centre for Ecology & Hydrology","Natural Environment Research Council","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2014-12-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/362bff26-d2ca-4700-b1f0-22072f4bc0cc","10.5285/362bff26-d2ca-4700-b1f0-22072f4bc0cc","doi:10.5285/362bff26-d2ca-4700-b1f0-22072f4bc0cc"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (length) data for linear features across Great Britain in 1984 in a vector format. The data are national estimates generated by analysing the sample data from 384 1km squares surveyed for the Countryside Survey long term monitoring project,…","state":"published","title":"Countryside Survey 1984 mapped estimates of linear feature lengths in Great Britain","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level plant occurrence data for the first seven years (2015-2021) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2021.\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\nPlease be aware that this dataset is updated annually and that more recent versions exist.\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme"],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"e742c94f-82a4-43e7-af14-36b131afe81b","incomingCitationCount":0,"keyword":["Environmental survey","Biodiversity","National Plant Monitoring Scheme","NPMS","UK-SCAPE ","plant community","habitat","vegetation","environmental monitoring"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE ","plant community","habitat","vegetation","environmental monitoring"],"keywordsTheme":["Environmental survey","Biodiversity"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system (www.indicia.org.uk) through the NPMS website (www.npms.org.uk) or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-9.087 49.086, -9.087 60.322, 1.329 60.322, 1.329 49.086, -9.087 49.086))"],"metadataDate":"2026-06-30T16:37:12.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2022-06-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e742c94f-82a4-43e7-af14-36b131afe81b","10.5285/e742c94f-82a4-43e7-af14-36b131afe81b","doi:10.5285/e742c94f-82a4-43e7-af14-36b131afe81b"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first seven years (2015-2021) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat…","state":"published","title":"National Plant Monitoring Scheme survey data (2015-2021)","topic":["0/Environmental survey/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","ICAR-Indian Agricultural Research Institute"],"authorFamilyName":["Cowan","Bhatia","Jain","Drewer"],"authorFullName":["Cowan, N.","Bhatia, A.","Jain, N.","Drewer, J."],"authorGivenName":["N.","A.","J."],"authorOrcid":["https://orcid.org/0000-0002-7473-7916","https://orcid.org/0000-0001-6387-7836","https://orcid.org/0000-0002-6263-6341"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains rice crop biomass, and greenhouse gas flux measurements from five plots exposed to different fertiliser treatments and continuous and intermittent irrigation protocols. \n\nThe gas flux data include methane, nitrous oxide, and ammonia, which were measured using chamber methodologies. The dataset also includes irrigation protocols and site environmental properties such as soil pH, bulk density, and texture. Agronomic yields are reported in terms of rice grain and total crop harvests as well as total nitrogen use efficiency.\n\nThis dataset was created as part of an experiment carried out in rice paddies at the Indian Agricultural Research Institute (Delhi, India) in 2016. The experiment aimed to compare the environmental impacts of continuous and intermittent flooding of rice in relation to methane, nitrous oxide and ammonia emissions and the implications for nitrogen use efficiency and yield. ","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Bhatia","Jain","Drewer"],"fullName":["Cowan, N.","Bhatia, A.","Jain, N.","Drewer, J."],"funder":["Biotechnology and Biological Sciences Research Council","Natural Environment Research Council","National Initiative for Climate Resilient Agriculture Project "],"givenName":["N.","A.","J."],"grant":["BB/N013492/1","NE/S009019/1","NICRA-IARI/12-115"],"identifier":"46aafc00-6742-41df-b8be-09a8d5d86610","incomingCitationCount":0,"keyword":["Agriculture","greenhouse gas","fertiliser","nitrogen","urea","rice paddy","irrigation"," methane","ammonia","nitrous oxide","crop production"],"keywordsOther":["greenhouse gas","fertiliser","nitrogen","urea","rice paddy","irrigation"," methane","ammonia","nitrous oxide","crop production"],"keywordsTheme":["Agriculture"],"licence":"Open government licence","lineage":"Field data was collected in India at the experimental farm of the Indian Agricultural Research Institute, New Delhi, India. Data was passed to UKCEH in the UK for further analysis.\n\nRice yields were determined from one square meter of area in each plot in triplicate. The total nitrogen content of the crops was estimated using the Kjeldahl method, for more information please see the supporting documentation. \n\nCollection of greenhouse gas samples was carried out using the static chamber technique. Concentrations of methane (CH4) in the gas samples was analysed using a gas chromatograph (GC) fitted with a flame ionization detector (FID)(GC 8A Series, Shimadzu) and nitrogen oxide samples were analysed using a GC with electron capture detector (ECD)(Hewlett Packard 5890 Series II).\n\nEmissions of gas were measured using static chambers. Air from chambers was bubbled through 0.01N boric acid solution containing mixed indicator (methyl red and bromocresol green) using a vacuum pump with a flow rate of 3 L/min for 3.5 minutes. The volatilised ammoniacal nitrogen was determined by the titration of boric acid solution with 0.001N sulphuric acid.","locations":["POLYGON((77.161 28.659, 77.161 28.659, 77.161 28.659, 77.161 28.659, 77.161 28.659))"],"metadataDate":"2026-06-27T19:24:16.000Z","orcid":["https://orcid.org/0000-0002-7473-7916","https://orcid.org/0000-0001-6387-7836","https://orcid.org/0000-0002-6263-6341"],"organisation":["UK Centre for Ecology & Hydrology","ICAR-Indian Agricultural Research Institute","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/46aafc00-6742-41df-b8be-09a8d5d86610","10.5285/46aafc00-6742-41df-b8be-09a8d5d86610","doi:10.5285/46aafc00-6742-41df-b8be-09a8d5d86610"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains rice crop biomass, and greenhouse gas flux measurements from five plots exposed to different fertiliser treatments and continuous and intermittent irrigation protocols. \n\nThe gas flux data include methane, nitrous oxide, and ammonia, which were…","state":"published","title":"Experimental crop biomass and gas flux (methane, nitrous oxide, and ammonia) data from continuous and intermittently flooded rice fields under different fertiliser treatments, India, July-October, 2016","topic":["0/Agriculture/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023 (note that 2017 was a pilot year and has less data than subsequent years).\n\nThe \"public\" FIT Count asks volunteer citizen scientists to count the number of insects, identified into broad taxon groups, seen landing on the flowers of a particular target plant within a 50 cm × 50 cm quadrat during a period of ten minutes.\n\nThe \"1 km square\" FIT Count uses the same methodology but is carried out by PoMS volunteers and staff as part of the PoMS 1 km square survey, which takes place within a randomly allocated set of 1 km squares across the UK, and also gathers data on pan-trapped insects (see separate dataset). In 2017-2020 the 1 km square survey took place in England, Scotland and Wales only; from 2021 the survey has full UK coverage, but with limited data from Northern Ireland in 2021 which was a pilot year for that country.\n\nUK PoMS is co-ordinated by UKCEH, with the following delivery partners up to 2023: the Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Buglife, Hymettus, Natural History Museum, the University of Reading and University of Leeds.\n\nPoMS Steering Group members up to 2023 were JNCC, DAERA, Defra, NatureScot, Welsh Government, All-Ireland Pollinators Plan, Natural England, Science and Advice for Scottish Agriculture, and National Biodiversity Network.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme","Robin Hutchinson"],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs","Scottish Government","Welsh Government","Joint Nature Conservation Committee","Department of Agriculture, Environment and Rural Affairs for Northern Ireland","UK Centre for Ecology & Hydrology"],"grant":["NE/Y006208/1"],"identifier":"d706088c-9d48-4be5-b156-6ed6ad5e0618","incomingCitationCount":0,"keyword":["Biodiversity","Pollinators","Ecosystem services","citizen science","insect","biological monitoring","biotic interactions","bee","beetle","dipteran","butterfly","environmental monitoring"],"keywordsOther":["citizen science","insect","biological monitoring","biotic interactions","bee","beetle","dipteran","butterfly","environmental monitoring"],"keywordsTheme":["Biodiversity","Pollinators","Ecosystem services"],"licence":"Open government licence","lineage":"Public FIT Counts are carried out at locations and dates chosen by the participants, at any time when weather conditions are suitable between 1 April and 30 September each year. A set of fourteen target flower types is provided, but participants are free to choose a different flower if a target species is not available. Guidance is provided to participants on how to select a suitable location and position a quadrat, and on how to identify the insect group categories when counting visiting insects.\n\nOne km square FIT Counts follow the same methodology for the ten-minute count, but take place in up to 95 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided of the target flowers, and these are corrected where the original identification is not correct. Participants can optionally add photos to show examples of the insect groups that they have seen and counted, although these photos should not be taken during the count itself (so as to avoid disturbing visiting insects) so cannot be corrected in the same way. The data is then passed through a QA process in R (code available in the metadata) to detect and resolve any errors in the dataset, or highlight where the methodology was not followed.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-30T11:37:09.000Z","organisation":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-06-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d706088c-9d48-4be5-b156-6ed6ad5e0618","10.5285/d706088c-9d48-4be5-b156-6ed6ad5e0618","doi:10.5285/d706088c-9d48-4be5-b156-6ed6ad5e0618"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Joint Nature Conservation Committee"],"ror":["https://ror.org/00pggkr55","https://ror.org/05tzsrw37","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on the location of the count, some environmental variables, and the number of insects of each type counted for the Flower-Insect Timed Count survey as part of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2023…","state":"published","title":"Flower-Insect Timed Count data from the UK Pollinator Monitoring Scheme, 2017-2023","topic":["0/Biodiversity/","0/Pollinators/","0/Ecosystem services/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Jones","Feuchtmayr","Maberly"],"authorFullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"authorGivenName":["I.D.","H.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the lake (see supporting documentation). Measurements were taken every 4 minutes and calculated as hourly averages.  The data were collected by the Centre for Ecology & Hydrology between 2012 and 2015 inclusive.  This dataset has been used in various publications, please see supporting documentation for more detail. ","documentType":"GEMINI_DOCUMENT","familyName":["Jones","Feuchtmayr","Maberly"],"fullName":["Jones, I.D.","Feuchtmayr, H.","Maberly, S.C."],"givenName":["I.D.","H.","Heidrun","S.C."],"identifier":"e68063b9-2e52-44df-8b6f-a3deb37b76cb","incomingCitationCount":2,"keyword":[" Lake District","Lake Windermere","Water quality","Environmental survey","temperature profile","lake","freshwater","meteorological parameter"],"keywordsOther":["temperature profile","lake","freshwater","meteorological parameter"],"keywordsPlace":[" Lake District","Lake Windermere"],"keywordsTheme":["Water quality","Environmental survey"],"licence":"Open government licence","lineage":"Data from the automatic water quality buoy on Windermere South Basin are collated and processed by the Centre for Ecology & Hydrology at Lancaster.  Data are available for download from 2012 onwards.  See supporting documentation for further information.  Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. ","locations":["POLYGON((-2.977 54.277, -2.977 54.335, -2.921 54.335, -2.921 54.277, -2.977 54.277))"],"metadataDate":"2026-06-29T18:25:57.000Z","orcid":["https://orcid.org/0000-0002-6898-1429","https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0003-3541-5903"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-02-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e68063b9-2e52-44df-8b6f-a3deb37b76cb","10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb","doi:10.5285/e68063b9-2e52-44df-8b6f-a3deb37b76cb"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of hourly lake temperature, air temperature, solar irradiance and wind speed data from an automatic water monitoring buoy on Windermere South Basin, a lake in the North West of England. The lake temperatures are measured in various depths of the…","state":"published","title":"Data from automatic water monitoring buoy from Windermere south basin, 2012 to 2015","topic":["0/Water quality/","0/Environmental survey/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Aberdeen University","James Hutton Institute","University of Aberdeen","Scotland's Rural College (SRUC)","University of Perugia, Italy","Cranfield University","University of Edinburgh","University of Bristol","Brightspot Climate","Newcastle University","Sterling University","Unaffiliated","Trinity Agtech","University of Vermont"],"authorFamilyName":["Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Myrgiotis","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"authorFullName":["Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Myrgiotis, V.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"authorGivenName":["S.H.","M.","V.","P.","J.","D.","C.","S.","F.","B.","A.","L."],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to 2100.\nThe work was supported by the Natural Environment Research Council (NE/P019455/1)  \n","documentType":"GEMINI_DOCUMENT","familyName":["Vetter","Aitkenhead","Dondini","Eory","Goglio","Harris","Hillier","House","Lefebrve","MacLeod","Manning","Medina-Carmona","Mohamed-Yunus","Moran","Myrgiotis","Payen","Rees","Sohi","Sykes","Williams","Wollenberg","Smith"],"fullName":["Vetter, S.H.","Aitkenhead, M.","Dondini, M.","Eory, V.","Goglio, P.","Harris, J.","Hillier, J.","House, J.","Lefebrve, D.","MacLeod, M.","Manning, D.","Medina-Carmona, C.","Mohamed-Yunus, S.","Moran, D.","Myrgiotis, V.","Payen, F.","Rees, B.","Sohi, S.","Sykes, A.","Williams, M.","Williams, A.","Wollenberg, L.","Smith, P."],"funder":["Natural Environment Research Council"],"givenName":["S.H.","M.","V.","P.","J.","D.","C.","S.","F.","B.","A.","L."],"grant":["NE/P019455/1"],"identifier":"fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","incomingCitationCount":0,"keyword":["Climate and climate change","soil carbon","management","greenhouse gas removal","carbon sequestration","soil","agriculture","greenhouse gas"],"keywordsOther":["soil carbon","management","greenhouse gas removal","carbon sequestration","soil","agriculture","greenhouse gas"],"keywordsTheme":["Climate and climate change"],"licence":"Open government licence","lineage":"The global data was modelled with the model ECOSSE (Estimating Carbon in Organic Soils – Sequestration and Emissions) with the use of global data sets for soil (harmonised world soil database) and climate (CRU dataset). The business as usual (BAU) scenario was modelled for the crop wheat and conventional tillage practice. The produced data set presents the difference to the BAU scenario by simulating different managements (reduced till, no till, residue incorporation, cover cropping, and manure) and climate scenarios based on the data sets of the Climate Research Unite of University of East Anglia (A1B – a moderate climate change scenario under rapid economic growth but balanced over all sectors, A2 – a worst case climate scenario with regional heterogeneous economic growth) in the years 2050 and 2100.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-06-27T18:52:47.000Z","organisation":["Aberdeen University","James Hutton Institute","University of Aberdeen","Scotland's Rural College (SRUC)","University of Perugia, Italy","Cranfield University","University of Edinburgh","University of Bristol","Brightspot Climate","Newcastle University","Sterling University","Unaffiliated","Trinity Agtech","University of Vermont","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8","doi:10.5285/fbb03aba-ad1c-438a-a3b3-2a99bc1baaf8"],"resourceType":"Dataset","rightsHolder":["University of Aberdeen"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The data set shows the modelled change of soil organic carbon under different managements in agriculture for different climate scenarios globally. Dataset includes the change to a business as usual scenario for different soil managements for each decade from 2030 to…","state":"published","title":"Modelled global soil carbon change based on different management and climate scenarios from 2030 to 2100","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Bangor University","Centre for Ecology & Hydrology"],"authorFamilyName":["Glanville","Reinsch","Cosby","Emmett","Marshall","Smart","Winterbourn","Jones"],"authorFullName":["Glanville, H.C.","Reinsch, S.","Cosby, B.J.","Emmett, B.A.","Marshall, M.R.","Smart, S.M.","Winterbourn, J.B.","Jones, D.L."],"authorGivenName":["H.C.","S.","B.J.","B.A.","M.R.","S.M.","J.B.","D.L."],"authorOrcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0003-2869-0616"],"authorRor":["https://ror.org/006jb1a24","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consist of soil carbon in kilogrammes (kg) of  carbon per metre squared. Soil cores were taken to a depth of 1 metre and divided into 15 cm depth increments. Soil carbon (kg carbon per metre squared) was determined for all soil depth increments. The soil samples were taken in the Conwy catchment in North West Wales. Samples were collected in the spring of 2014 across a land use intensification gradient ranging from semi-natural peatlands, acid grasslands to improved grasslands and arable fields. Soil parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model.\n\nThis dataset is part of a data series where plant and soil measurements were collected together to increase our understanding of coupled aboveground and belowground processes.\n\nMeasurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University.\n\nThis data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Glanville","Cosby","Emmett","Marshall","Smart","Winterbourn","Jones"],"fullName":["Reinsch, S.","Glanville, H.C.","Cosby, B.J.","Emmett, B.A.","Marshall, M.R.","Smart, S.M.","Winterbourn, J.B.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["Sabine","H.C.","S.","B.J.","B.A.","M.R.","S.M.","J.B.","D.L."],"grant":["NE/J011991/1"],"identifier":"dd6835bf-9c7e-4ad6-95f2-d15f24162fb3","incomingCitationCount":0,"keyword":["Van Walt percussion (Cobra TT) core","Elementar Vario Cube Select","Conwy","North Wales","Turf2Surf","T2S","Macronutrients","carbon","Soil"],"keywordsInstrument":["Van Walt percussion (Cobra TT) core","Elementar Vario Cube Select"],"keywordsOther":["carbon","Soil"],"keywordsPlace":["Conwy","North Wales"],"keywordsProject":["Turf2Surf","T2S","Macronutrients"],"licence":"Open government licence","lineage":"Intact soil cores were collected in spring 2014 using a Van Walt percussion (Cobra TT) core. Soil cores were taken to a depth of 1 metre and divided into 15 centimetre (cm) depth increments. \n\nTotal carbon (%) was analysed using thermal oxidation measured by an Elementar Vario Cube Select. Soil water content (SWC) and bulk density (BD) were measured using standard techniques. SWC and BD were used to calculate the soil carbon in kg per metre squared. \n\nAll results were entered into Excel spreadsheets. Results from all the analyses were combined into one Excel spreadsheet. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC.","locations":["POLYGON((-4.031 52.944, -4.031 53.31, -3.592 53.31, -3.592 52.944, -4.031 52.944))"],"metadataDate":"2026-06-29T16:30:28.000Z","orcid":["https://orcid.org/0000-0003-4649-0677","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0003-2869-0616"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-01-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/dd6835bf-9c7e-4ad6-95f2-d15f24162fb3","10.5285/dd6835bf-9c7e-4ad6-95f2-d15f24162fb3","doi:10.5285/dd6835bf-9c7e-4ad6-95f2-d15f24162fb3"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The data consist of soil carbon in kilogrammes (kg) of  carbon per metre squared. Soil cores were taken to a depth of 1 metre and divided into 15 cm depth increments. Soil carbon (kg carbon per metre squared) was determined for all soil depth increments. The soil samples…","state":"published","supplementalName":["T2S website"],"title":"Soil carbon data in the Conwy catchment in North Wales 2014","version":1.0,"view":["public","danor"]},{"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 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\nThe data is an extension for the AWS datasets 1999-2015, 2015-2016 and 2016-2021 covering the time period January 2022 to December 2023. Data are logged in minute intervals, averaged to half-hourly. The 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 UKCEH staff.\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.\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":"b86585cf-76cd-42c8-8db9-57ebc750f1de","incomingCitationCount":0,"keyword":["UK","Wales","Climate and climate change","meteorological data","UK-SCAPE","air pressure","heathland","climate change","net radiation","photosynthetic active radiation","solar radiation","wind direction","wind speed","relative humidity","air temperature","rainfall","atmospheric precipitation"],"keywordsOther":["meteorological data","UK-SCAPE","air pressure","heathland","climate change","net radiation","photosynthetic active radiation","solar radiation","wind direction","wind speed","relative humidity","air temperature","rainfall","atmospheric precipitation"],"keywordsPlace":["UK","Wales"],"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. An 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. The 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":"2026-06-29T16:58:32.000Z","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":"2024-04-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b86585cf-76cd-42c8-8db9-57ebc750f1de","10.5285/b86585cf-76cd-42c8-8db9-57ebc750f1de","doi:10.5285/b86585cf-76cd-42c8-8db9-57ebc750f1de"],"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 2022-2023","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"authorFullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"authorGivenName":["R.","F.","P.","G.","B."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains the codes for water laboratory analysis, water sample identification, sampling dates and locations for water samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It should be used in conjunction with datasets describing water bacteria and water eukaryote operational taxonomic unit sequence data.","documentType":"GEMINI_DOCUMENT","familyName":["Griffiths","Edwards","Scarlett","Webb","Sarlej","Thomson"],"fullName":["Griffiths, R.","Edwards, F.","Scarlett, P.","Webb, G.","Sarlej, R.","Thomson, B."],"givenName":["R.","F.","P.","G.","B."],"identifier":"d36fb15b-6cfb-4488-b6b7-2b62dcf00b46","incomingCitationCount":0,"keyword":["Tellus","South West project","Environmental survey"],"keywordsProject":["Tellus","South West project"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Field Method description: Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wold River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. Soil samples: A range of soils were targetedfrom the Tamar region comprising a range of land uses. Approximate location of sampling sites was determined from maps to provide good spatial coverage of the catchment. Exact sites were determined in the field, considering accessibility and other logistic, and soilstaken according to the following protocol: The exact location of each sample site was determined using a Garmin GPS12. Soil samples were kept in the cold and removed to the laboratory for analyses. ","locations":["POLYGON((-4.307 50.533, -4.307 50.737, -4.191 50.737, -4.191 50.533, -4.307 50.533))"],"metadataDate":"2026-06-29T16:09:22.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-05-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1395929422884","CEH:EIDC::1395929422884","https://catalogue.ceh.ac.uk/id/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46","10.5285/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46","doi:10.5285/d36fb15b-6cfb-4488-b6b7-2b62dcf00b46"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains the codes for water laboratory analysis, water sample identification, sampling dates and locations for water samples collected from the Tamar catchment in winter 2013/2014 as part of the South West project. It should be used in conjunction with…","state":"published","title":"Location and identification of water sample sites from the Wolf and Tamar catchments","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jone"]},{"authorAffiliation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds"],"authorFamilyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"authorFullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"authorGivenName":["S.","W.","S.A.","E.U.","R.","P."],"authorOrcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0001-5074-1673"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset provides meteorological data including air temperature, humidity, solar radiation, and wind speed collected above the canopy at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. Data is at high temporal resolution (10 second). This site is a moist semi-deciduous tropical forest type. The data were collected from a 60m tower adjacent to a plot which was lightly selectively logged over 60 years ago. The forest trees are of a variety of species including both deciduous and evergreen species. Data were collected in order to provide auxiliary data for other studies completed at the site. ","documentType":"GEMINI_DOCUMENT","familyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"fullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","S.A.","E.U.","R.","P."],"grant":["NE/V008366/1"],"identifier":"e891ae90-1917-41b6-a63a-8fe4170253ff","incomingCitationCount":0,"keyword":["West Africa","Climate and climate change","Environmental survey","micromet","micrometeorology","semi-deciduous","canopy","ecophysiology","climate","tropical forest","meteorology","forest"],"keywordsOther":["micromet","micrometeorology","semi-deciduous","canopy","ecophysiology","climate","tropical forest","meteorology","forest"],"keywordsPlace":["West Africa"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Data were recorded as .DAT files using a LabView program, initially stored on a PC at the site, then copied to a University of Plymouth server. Files were converted to .csv using Excel. Monthly files were collated into a single file using R.","locations":["POLYGON((1.29 6.64, 1.29 6.74, 1.37 6.74, 1.37 6.64, 1.29 6.64))"],"metadataDate":"2026-06-29T16:39:50.000Z","orcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0001-5074-1673"],"organisation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e891ae90-1917-41b6-a63a-8fe4170253ff","10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff","doi:10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides meteorological data including air temperature, humidity, solar radiation, and wind speed collected above the canopy at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. Data is at high temporal resolution (10 second). This site…","state":"published","title":"Meteorological data from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"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","Hydrology","Flood risk management","Water","Flooding","CEH Water Programme","CEH Project CO2699"],"keywordsOther":["Hydrology","Flood risk management","Soil","Water","Flooding","CEH Water Programme","CEH Project CO2699"],"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":"2026-06-27T19:52:03.000Z","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":["School of Interdisciplinary Studies, University of Glasgow","School of Geographical & Earth Sciences, University of Glasgow"],"authorFamilyName":["Xu","Renaud","Barrett"],"authorFullName":["Xu, J.","Renaud, F.G.","Barrett, B."],"authorGivenName":["J.","F.G.","B."],"authorOrcid":["https://orcid.org/0000-0003-2949-5353","https://orcid.org/0000-0002-0830-1196","https://orcid.org/0000-0002-4380-4020"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and environmental protection targets, local plans and policies, and the information from a stakeholders’ workshop, to explore land system evolution trajectories of the LRB and major challenges that the river basin may face in the future.\n\nThe map includes nine different land use classes: 1) Extensive cropland, 2) Medium intensive cropland, 3) Intensive cropland, 4) Forest, 5) Grassland with low livestock, 6) Grassland with high livestock, 7) Water, 8) Built-up area and 9) Unused land. The land system classification is based on three main classification factors: (1) land use and cover, (2) livestock, and (3) agricultural intensity.\n\nThe data was funded by UK Research and Innovation (UKRI) through the Natural Environment Research Council’s (NERC) Towards a Sustainable Earth (TaSE) programme, for the project \"River basins as 'living laboratories' for achieving sustainable development goals across national and sub-national scales\" (Grant no. NE/S012427/1) .","documentType":"GEMINI_DOCUMENT","familyName":["Xu","Renaud","Barrett"],"fullName":["Xu, J.","Renaud, F.G.","Barrett, B."],"funder":["Natural Environment Research Council"],"givenName":["J.","F.G.","B.","Jiren"],"grant":["NE/S012427/1"],"identifier":"a94640dc-fe21-4c38-936b-d62dfca0c952","incomingCitationCount":0,"keyword":["China","Towards a Sustainable Earth (TaSE)","Land use","Cropland","CLUMondo","Luanhe River Basin","cropland management","grassland","urban area","forest","land use","land cover"],"keywordsOther":["Cropland","CLUMondo","Luanhe River Basin","cropland management","grassland","urban area","forest","land use","land cover"],"keywordsPlace":["China"],"keywordsProject":["Towards a Sustainable Earth (TaSE)"],"keywordsTheme":["Land use"],"licence":"Open government licence","lineage":"The map was developed based on three steps:\nFirst, land systems of the Luanhe River Basin (LRB) in the years 2000 and 2015 were mapped by integrating different datasets related to human-environment attributes. Then, the relationship between the land systems and local explanatory factors was calculated for the initial year (2000). \nSecond, the CLUMondo model was parameterised and calibrated based on the 2015 land systems map.\nFinally, changes in the land systems from 2015 to 2030 were simulated under different scenarios, including alternative sets of demands for commodities and services and represented different pathways on managing LRB’s land resources.","locations":["POLYGON((115 39, 115 42, 119 42, 119 39, 115 39))"],"metadataDate":"2026-06-29T18:16:11.000Z","orcid":["https://orcid.org/0000-0003-2949-5353","https://orcid.org/0000-0002-0830-1196","https://orcid.org/0000-0002-4380-4020"],"organisation":["School of Interdisciplinary Studies, University of Glasgow","School of Geographical & Earth Sciences, University of Glasgow","NERC EDS Environmental Information Data Centre","University of Glasgow"],"publicationDate":"2021-07-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/a94640dc-fe21-4c38-936b-d62dfca0c952","10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952","doi:10.5285/a94640dc-fe21-4c38-936b-d62dfca0c952"],"resourceType":"Dataset","rightsHolder":["University of Glasgow"],"ror":["https://ror.org/04xw4m193","https://ror.org/00vtgdb53"],"shortenedDescription":"Dataset contains the Land Use/Land Cover (LULC) map under four scenarios (Trend, Expansion, Sustainability, and Conservation) in 2030 in the Luanhe River Basin (LRB), China, with a resolution of 1km. The scenarios were based on different socio-economic development and…","state":"published","title":" Land use maps under the trend, expansion, sustainability, and conservation scenarios in 2030 in the Luanhe River Basin, China by using the CLUMondo Model","topic":["0/Land use/"],"version":1.0,"view":["public","clwe"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Microsoft Excel","Comma-separated values (CSV)"],"description":"This data set consists of the tabulated results of bird surveys on Peak District farms and moorlands. Bird abundance and distribution on Peak District farms and moorlands, 2007-2008 The study is part of the NERC Rural Economy and Land Use (RELU) programme. The project used the Peak District National Park as a case study to examine the impact of hill farming practices on upland biodiversity (using birds as an indicator group); how hill farms were responding to ongoing and future changes to policies and prices; what this would in turn imply for upland biodiversity; what the public wanted from upland ecosystems and how policies could be designed better to deliver public goods from hill farms. To answer these questions, the project team conducted ecological and economic surveys on hill farms; used survey results to parameterise ecological and economic models of this farming system; developed new ways to integrate these into coupled ecological and economic models and paid particular attention to interactions across farm boundaries; used the models to evaluate the performance of existing policies and to test designs that could lead to more effective policies; and conducted a range of choice experiments with different cross-sections of the general public to evaluate their preferences for upland landscapes. Choice experiment, socio-economic survey and model data from this study are available at the UK Data Archive under study number 6363 (see Supplemental). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Armsworth","Hanley","Gaston"],"fullName":["Armsworth, P.","Hanley, N.","Gaston, K."],"funder":["Economic and Social Research Council"],"givenName":["P.","N.","K."],"identifier":"de5447b7-70bb-4a11-822b-c1f53987681e","incomingCitationCount":0,"keyword":["Peak district","Agricultural economics","Agricultural policy","Agriculture","Biodiversity","Birds","Farmers","Farming systems","Farms","Habitats","Land management","Land use","Landscape","Moorlands","Rural economics","Uplands","Rural Economy and Land Use Programme","Sustainability of Hill Farming - Ecology Data","2007-2008"],"keywordsOther":["Rural Economy and Land Use Programme","Sustainability of Hill Farming - Ecology Data","2007-2008"],"keywordsTheme":["Peak district","Agricultural economics","Agricultural policy","Agriculture","Biodiversity","Birds","Farmers","Farming systems","Farms","Habitats","Land management","Land use","Landscape","Moorlands","Rural economics","Uplands"],"licence":"Non-Open government licence","lineage":"Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-227-25-0028 Walking transects and distance sampling were used to survey all bird species on 44 farms (where the main landholding fell within 2 km of the Moorland boundary within the Peak District National Park) and on 37 paired moorland areas nearby. Birds were counted as present if they were seen or heard within the property, irrespective of the distance from the transect. Bird surveys were carried out on two separate visits in Spring and Summer 2007.","locations":["POLYGON((-2.485 52.883, -2.485 53.73, -1.15 53.73, -1.15 52.883, -2.485 52.883))"],"metadataDate":"2026-06-29T15:34:16.000Z","organisation":["University of Tennessee","University of Stirling","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2008-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1295888468769","CEH:EIDC::1295888468769","https://catalogue.ceh.ac.uk/id/de5447b7-70bb-4a11-822b-c1f53987681e"],"resourceType":"Dataset","ror":["https://ror.org/020f3ap87","https://ror.org/045wgfr59","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"This data set consists of the tabulated results of bird surveys on Peak District farms and moorlands. Bird abundance and distribution on Peak District farms and moorlands, 2007-2008 The study is part of the NERC Rural Economy and Land Use (RELU) programme. The project…","state":"published","supplementalName":["RELU Knowledge Portal"],"title":"Bird abundance and distribution on Peak District farms and moorlands, 2007-2008 - RELU Sustainability of hill farming","version":1.0,"view":["public","rstu"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=7&facet=availability%7CAvailable"}