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The soil samples were collected on 4th and 5th October 2007 and were analysed for concentrations of Aluminium and Iron, using inductively-coupled plasma optical emission spectrometry (ICPOES), and Chromium, Copper, Zinc, Nickel, Arsenic, Cadmium, Mercury and Lead, using inductively-coupled plasma mass spectrometry (ICPMS). 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Concentrations of metals in the samples were measured using inductively-coupled plasma mass spectrometry and inductively-coupled plasma optical emission spectrometry on fully calibrated instrumentation and a certified soil sample was included in each batch of analyses to ensure quality (by knowing the percentage recovery of each metal).","locations":["POLYGON((-2.998 51.154, -2.998 51.629, -2.306 51.629, -2.306 51.154, -2.998 51.154))"],"metadataDate":"2026-06-27T18:27:41.000Z","orcid":["https://orcid.org/0000-0003-3264-8760"],"organisation":["UK Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre"],"publicationDate":"2009-12-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/53f1a4b0-8fa7-4b84-b5fe-28117918560a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"Concentrations of trace metals in soils from a grid of sites located around a disused (since 2003) smelting works in the Avonmouth, UK, area. 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BMC Medicine, 10(1)."],"title":"Trace metals in soils in the West Bristol (Avonmouth) area","topic":["0/Soil/","0/Pollution/"],"version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. 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It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UK CEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\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","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"c7195a20-7943-4d5d-9f6e-c9fead472dde","incomingCitationCount":0,"keyword":["Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage aggregate class is produced from the 25m raster product (which is derived from the vector product) by:\n1. Using gdal_calc to aggregate the 23 target classes into the 10 aggregate classes saving them as 10 individual images (one for each class) where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2. Gdal_warp is then applied to each of the 10 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3. Gdal_merge is then used to create a single file with 10 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T15:41:27.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2020-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c7195a20-7943-4d5d-9f6e-c9fead472dde","10.5285/c7195a20-7943-4d5d-9f6e-c9fead472dde","doi:10.5285/c7195a20-7943-4d5d-9f6e-c9fead472dde"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage aggregate class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 10 aggregated land cover classes for 1km x 1km pixels. This product…","state":"published","title":"Land Cover Map 1990 (1km percentage aggregate class, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Oxford","Sabah Forestry Department"],"authorFamilyName":["Gray","Slade","Chung","Lewis"],"authorFullName":["Gray, R.E.J.","Slade, E.M.","Chung, A.Y.C.","Lewis, O.T."],"authorGivenName":["R.E.J.","E.M.","A.Y.C.","O.T."],"authorOrcid":["https://orcid.org/0000-0002-1029-9021","https://orcid.org/0000-0002-6108-1196","https://orcid.org/0000-0001-7935-6111"],"authorRor":["https://ror.org/052gg0110","https://ror.org/03sfqvm15"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of moth and dung beetle recapture, movement, and trait data from a mark-release-recapture experiment conducted within riparian forest reserves, in an oil palm landscape in Sabah, Malaysian Borneo conducted as part of the SAFE project (Stability of Altered Forest Ecosystems). This resource includes information regarding the recapture frequency and movement behaviour of both moths and dung beetles with respect to three habitat types: riparian forest reserve, continuous forest, and oil palm plantation. These data were collected to assess the extent in which moths and dung beetles use riparian forest reserves, relative to the oil palm plantations, as movement corridors between continuous forest. Data was collected between 2016 and 2017, as part of the Land use Options of Maintaining BiOdiversity and eKosystem functions project (LOMBOK), a part of the Human Modified Tropical Forests Programme (HMTF)","documentType":"GEMINI_DOCUMENT","familyName":["Gray","Slade","Chung","Lewis"],"fullName":["Gray, R.","Gray, R.E.J.","Slade, E.M.","Chung, A.Y.C.","Lewis, O.T."],"funder":["Natural Environment Research Council"],"givenName":["Ross","R.E.J.","E.M.","A.Y.C.","O.T."],"identifier":"4ca7f1ff-7bc4-4077-bc9c-96be1be3e655","incomingCitationCount":0,"keyword":["Stability of Altered Forest Ecosystems (SAFE)","Animal behaviour","Sisyphus thoracicus","Onthophagus obscurior","Onthophagus mulleri","Proagoderus watanebei","Catharsius sp.","Paragymnopleurus sparsus","Erebus caprimulgus","Erebus gemmans","Erebus ephesperis","Ischyja","Hypoprya","Sabah","Malaysia","Borneo"],"keywordsOther":["Sisyphus thoracicus","Onthophagus obscurior","Onthophagus mulleri","Proagoderus watanebei","Catharsius sp.","Paragymnopleurus sparsus","Erebus caprimulgus","Erebus gemmans","Erebus ephesperis","Ischyja","Hypoprya","Sabah","Malaysia","Borneo"],"keywordsProject":["Stability of Altered Forest Ecosystems (SAFE)"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"The experiment was conducted at three riparian forest reserve sites in the Stability of Altered Forest Ecosystems (SAFE) project landscape in Sabah, Malaysian Borneo (Ewers et al., 2011). Please see supporting documentation for further details.","locations":["POLYGON((115.037 4.338, 115.037 7.157, 119.344 7.157, 119.344 4.338, 115.037 4.338))"],"metadataDate":"2026-06-29T16:15:40.000Z","orcid":["https://orcid.org/0000-0002-1029-9021","https://orcid.org/0000-0002-6108-1196","https://orcid.org/0000-0001-7935-6111"],"organisation":["Imperial College London","University of Oxford","Sabah Forestry Department","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-09-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4ca7f1ff-7bc4-4077-bc9c-96be1be3e655","10.5285/4ca7f1ff-7bc4-4077-bc9c-96be1be3e655","doi:10.5285/4ca7f1ff-7bc4-4077-bc9c-96be1be3e655"],"resourceType":"Dataset","ror":["https://ror.org/041kmwe10","https://ror.org/052gg0110","https://ror.org/03sfqvm15","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of moth and dung beetle recapture, movement, and trait data from a mark-release-recapture experiment conducted within riparian forest reserves, in an oil palm landscape in Sabah, Malaysian Borneo conducted as part of the SAFE project (Stability…","state":"published","supplementalDescription":["Ewers, R. M., R. K. Didham, L. Fahrig, G. Ferraz, A. Hector, R. D. Holt, V. Kapos, G. Reynolds, W. Sinun and J. L. Snaddon (2011). A large-scale forest fragmentation experiment: the Stability of Altered Forest Ecosystems Project. Philosophical Transactions of the Royal Society of London B: Biological Sciences 366(1582): 3292-3302."],"title":"Mark-Release-Recapture data showing moth and dung beetle movements in riparian reserves within the SAFE project landscape, Malaysian Borneo, 2016-17","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","kath","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":["University of Reading","The James Hutton Institute","University of Waterloo","Imperial College London"],"authorFamilyName":["Lees","Clark","Quaife","Artz","Khomik","Ritson"],"authorFullName":["Lees, K.J.","Clark, J.M.","Quaife, T.","Artz, R.R.E.","Khomik, M.","Ritson, J."],"authorGivenName":["K.J. ","J.M.","T.","R.R.E.","M.","J."],"authorOrcid":["https://orcid.org/0000-0001-9254-2103","https://orcid.org/0000-0002-0412-8824","https://orcid.org/0000-0001-6896-4613","https://orcid.org/0000-0002-8462-6558"],"authorRor":["https://ror.org/05v62cm79","https://ror.org/03rzp5127","https://ror.org/01aff2v68","https://ror.org/041kmwe10"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an annual Temperature, Greenness and Wetness (TGWa) model. \n\nThe laboratory data includes Gross Primary Productivity (GPP) and respiration data from samples of Sphagnum capillifolium and Sphagnum papillosum which were collected from the Forsinard Flows RSPB reserve (Northern Scotland) and subjected to different rainfall simulations, including total drought, in the laboratory. Spectral reflectance of the samples was also measured throughout the experiment, and the vegetation indices calculated are recorded. \n\nThe field data includes carbon fluxes and spectral reflectance measurements, in this case taken from collars located at three sites within the Forsinard Flows Reserve during the main growing season of 2017 (March to September). Associated measurements of temperature, Photosynthetically Active Radiation (PAR), and moisture content were recorded. The species composition of the collars is also given in the data. \n\nThe satellite data include Land Surface Temperature (LST) and Normalised Difference Vegetation Index (NDVI) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) used to develop a TG model over the Forsinard Flows reserve, and the Glencar bog in Ireland. The dataset also includes bands used to calculate the Normalised Difference Water Index (NDWI) to develop the TGWa model. The MODIS data used in the implementation of this model to assess restoration progress, and also upscaling effectiveness, are included in the dataset. \n\nThe work was carried out during a PhD project part-funded by the NERC SCENARIO DTP (Grant number: NE/L002566/1) at the University of Reading, and part-funded by The James Hutton Institute. ","documentType":"GEMINI_DOCUMENT","familyName":["Lees","Clark","Quaife","Artz","Khomik","Ritson"],"fullName":["Lees, K.J.","Clark, J.M.","Quaife, T.","Artz, R.R.E.","Khomik, M.","Ritson, J."],"funder":["Natural Environment Research Council"],"givenName":["K.J. ","J.M.","T.","R.R.E.","M.","J.","K.J."],"grant":["NE/L002566/1"],"identifier":"ab9f47f9-9faf-4403-a57e-25e31f581ed0","incomingCitationCount":2,"keyword":["Sphagnum papillosum","Sphagnum capillifolium"],"keywordsOther":["Sphagnum papillosum","Sphagnum capillifolium"],"licence":"Open government licence","lineage":"In both the field and the laboratory carbon fluxes were recorded using a LICOR-8100 system and custom chambers. The data were processed using the associated LICOR software, and the results individually visually assessed for quality. The flux for each measurement was entered into an Excel spreadsheet. \n\nIn the laboratory, spectral reflectance was measured using a Ger3700 spectrometer mounted in a dark room with a single light source. Reference spectra were taken using a Spectralon panel, and the radiances were processed into reflectances using the associated software. In the field, reflectances were taken using an SVC HR-1024 spectroradiometer mounted on a monopod and held approximately 1m from the surface. A Spectralon reflectance panel was used to give references, and the reflectances were downloaded from the spectroradiometer software. In both the field and the laboratory three measurements from different angles were taken of each sample/collar, and the average calculated. The vegetation indices were then calculated from the average reflectance spectra, and entered into an Excel spreadsheet. \n\nThe satellite data products were downloaded from the MODIS server and filtered in Matlab using the associated quality information. The gaps were then filled using the technique described by Wang et al. (2012). ","locations":["POLYGON((-3.8 58.2, -3.8 58.5, -3.5 58.5, -3.5 58.2, -3.8 58.2))"],"metadataDate":"2026-06-29T17:06:25.000Z","orcid":["https://orcid.org/0000-0001-9254-2103","https://orcid.org/0000-0002-0412-8824","https://orcid.org/0000-0001-6896-4613","https://orcid.org/0000-0002-8462-6558"],"organisation":["University of Reading","The James Hutton Institute","University of Waterloo","Imperial College London","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2019-03-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ab9f47f9-9faf-4403-a57e-25e31f581ed0","10.5285/ab9f47f9-9faf-4403-a57e-25e31f581ed0","doi:10.5285/ab9f47f9-9faf-4403-a57e-25e31f581ed0"],"resourceType":"Dataset","ror":["https://ror.org/05v62cm79","https://ror.org/03rzp5127","https://ror.org/01aff2v68","https://ror.org/041kmwe10","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes laboratory and field measurements of carbon fluxes and spectral reflectance for peatland vegetation including Sphagnum species. It also includes satellite data relating to the development and use of a Temperature and Greenness (TG) model, and an…","state":"published","supplementalDescription":["A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations’, Environmental Modelling & Software. Elsevier, 30, pp. 139–142. "],"supplementalName":["Wang, G. et al. (2012)"],"title":"Peatland vegetation: field and laboratory measurements of carbon dioxide fluxes and spectral reflectance ","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research"],"authorFamilyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"authorFullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"authorGivenName":["A.","J. K.","J. A.","J. E.","G. R.","S."],"authorOrcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744"],"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"This dataset contains daily temperature and temperature variance measurements recorded at three nurseries in Scotland between 2007 and 2012. Each nursery contained Scots pine trees grown using seed collected from 21 native Caledonian pinewood provenances, with 8 seedlings from each of 10 families per provenance (total 1680 trees per nursery) included.\n\nThis dataset was created as part of a multi-site long term garden experimental trial investigating the effect of nursery environment on Scots pine growth and development, and is part of the newLEAF and PROTREE projects. \n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Perry","Beaton","Stockan","Cottrell","Iason","Cavers"],"fullName":["Perry, A.","Beaton, J.K.","Stockan, J.A.","Cottrell, J.E.","Iason, G.R.","Cavers, S."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council","Scottish Government","Department for Environment Food and Rural Affairs","Economic and Social Research Council"],"givenName":["A.","J. K.","J. A.","J. E.","G. R.","S."],"grant":["NE/V019813/1","BB/L012243/1"],"identifier":"81841d93-41e2-47a7-b15a-92d1e1cf07f7","incomingCitationCount":0,"keyword":["Environmental survey","Pinus sylvestris","Scots pine","pine forest","Caledonian pinewood","Adaptive trait variation","Common garden experiment","growth","temperature","variance","tree nursery"],"keywordsOther":["Pinus sylvestris","Scots pine","pine forest","Caledonian pinewood","Adaptive trait variation","Common garden experiment","growth","temperature","variance","tree nursery"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Temperature was automatically recorded hourly using a data logger in each location from 2007 to 2012. Daily maximum, minimum and average temperature and temperature variances were calculated from the hourly data and are presented here.  Where more than one hourly record was missing within a 24 hour period, no temperature or temperature variances were calculated for this day and the day's record is omitted from this dataset","locations":["POLYGON((-8.648 54.634, -8.648 60.861, -0.728 60.861, -0.728 54.634, -8.648 54.634))"],"metadataDate":"2026-06-29T16:11:21.000Z","orcid":["https://orcid.org/0000-0002-7889-7597","https://orcid.org/0000-0001-9900-9010","https://orcid.org/0000-0003-2139-9236"],"organisation":["UK Centre for Ecology & Hydrology","James Hutton Institute","Forest Research","NERC EDS Environmental Information Data Centre","The James Hutton Institute"],"publicationDate":"2024-10-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/81841d93-41e2-47a7-b15a-92d1e1cf07f7","10.5285/81841d93-41e2-47a7-b15a-92d1e1cf07f7","doi:10.5285/81841d93-41e2-47a7-b15a-92d1e1cf07f7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Forest Research","The James Hutton Institute"],"ror":["https://ror.org/00pggkr55","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains daily temperature and temperature variance measurements recorded at three nurseries in Scotland between 2007 and 2012. Each nursery contained Scots pine trees grown using seed collected from 21 native Caledonian pinewood provenances, with 8 seedlings…","state":"published","title":"Long-term multisite Scots pine trial, Scotland: temperatures and temperature variances for tree nurseries, 2007-2012","topic":["0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Cambridge"],"authorFamilyName":["Flowerdew","Amano","Sutherland"],"authorFullName":["Flowerdew, J.R.","Amano, T.","Sutherland, W.J."],"authorGivenName":["J.R.","T.","W.J."],"authorRor":["https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter severity. Additional data describe a 4 year experiment on a nearby study area where in two winters supplementary ash fruit were supplied and population data collected in parallel to the main study area. Woodland small mammal population dynamics are commonly influenced by variable food supplies (due to masting), climate and population density. However, the effects of precise environmental variables are poorly understood. To explain between-year variations in bank vole and wood mouse reproductive/population growth rates, we applied a state-space model to 33 years of live-trapping data. Experimental additions of ash fruit in winter aided interpretation. ","documentType":"GEMINI_DOCUMENT","familyName":["Flowerdew","Amano","Sutherland"],"fullName":["Flowerdew, J.","Flowerdew, J.R.","Amano, T.","Sutherland, W.J."],"givenName":["John","J.R","J.R.","T.","W.J."],"identifier":"80ee4e00-7301-4c40-9dba-12dd0d21b7c7","incomingCitationCount":1,"keyword":["Animal behaviour","Myodes glareolus","Apodemus sylvaticus"],"keywordsOther":["Myodes glareolus","Apodemus sylvaticus"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Numbers were estimated (May/June, November/December) by catch-mark-release live-trapping in an English ash woodland (0.45 ha) and fruit-fall (September-March/April) measured. December-March mean minimum daily temperature represented winter severity. Total marked adult mice/voles provided density indices validated against a model-generated population estimate; this allowed estimation of the structure of a time-series model and the demographic impacts of climatic/biological variables. Juveniles were similarly assessed in May/June. In two winters of insignificant fruit-fall 6.79 gm-2 edible heat-treated ash seed (as fruits) was distributed over 0.45 ha of similar nearby woodland live-trapped in parallel. Population data for bank voles Myodes glareolus and wood mice Apodemus sylvaticus were generated from live-trapping samples (90 Longworth traps at 30 (6 x 5) points in groups of 3) taken over two days of trapping (following 2 days of pre-baiting) carried out at approximately 6-monthly intervals from early December 1971 to late November 2005. Modelling: To explain between-year variations in bank vole and wood mouse reproductive and population growth rates, we applied a state-space model to 33 years of live-trapping data. Total marked adult mice/voles provided density indices validated against a model-generated population estimate; this allowed estimation of the structure of a time-series model and the demographic impacts of climatic/biological variables. Juveniles were similarly assessed in May/June. Daily Minimum Temperature records (December- March) from Buxton Met Station were supplied by BDS (contract to JRF). Mean minimum daily temperature from December to March inclusive was taken as an index of winter severity. Fruitfall of Fraxinus excelsior on the 0.45 has study area was measured annually (1971-2005) as g-2 dry weight edible seed over the period September-March or April (depending on whether fruit remained on the trees after March) by collections at about 6-week intervals. The annual total fruits collected in 20 regularly spaced dustbins (total area 3.32 m2) was divided for analysis into Sept-December and December-March/April sub-totals. Dustbins had internal conical nets, allowing the fruit to be protected from predators until removed. Fruits were separated from plant debris and edible (unparasitised)seeds were then removed from the pericarp (wing), counted, dried at 80degreesC to constant weight and combined as a total annual sample or two sub-totals as above as g (dry weight ash seed)m-2 . Experimental addition of supplementary ash fruit. From October to March 1981-82 and 1984-85, (years of negligible natural fruit-fall) 60 kg of heat-sterilized ash fruit (pericarps treated at 80 degrees C for 2 days) were distributed in the same monthly proportions observed in 1966-7 (Gardner 1977). Fruits were scattered fortnightly at the 5 x 4 (20) intermediate points 7.5 m from the nearest trapping points within a 6 x 5 point 0.45 ha grid, similar to, and circa 150m west of, the main (control) study area. Assuming the fruits were effectively scattered they provided 6.79 gm-2 of edible ash seed, just below the two highest fruitings recorded from 1971-81. This experimental grid was live-trapped at the same intervals as the main study area from December 1981 to June 1985 so that the dynamics with additional ash fruit (1981-82, 1984-85) and without it (1982-83, 1983-84) could be compared with the dynamics on the main (control) study area. ","locations":["POLYGON((-1.776 53.176, -1.776 53.196, -1.666 53.196, -1.666 53.176, -1.776 53.176))"],"metadataDate":"2026-06-29T17:19:28.000Z","organisation":["University of Cambridge","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2015-03-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1427194525815","CEH:EIDC::1427194525815","https://catalogue.ceh.ac.uk/id/80ee4e00-7301-4c40-9dba-12dd0d21b7c7","10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7","doi:10.5285/80ee4e00-7301-4c40-9dba-12dd0d21b7c7"],"resourceType":"Dataset","ror":["https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset describes 35 years of 6-monthly population sampling of adult and juvenile bank voles Myodes glareolus and wood mice Apodemus sylvaticus in a Derbyshire Ash Fraxinus excelsior woodland, together with annual and seasonal ash fruit-fall and a measure of winter…","state":"published","title":"Small rodent dynamics at Lathkill Dale SSSI, Derbys, 1971- 2005","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","rstu"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service (WMS) is the 1km raster, dominant target class version of the Land Cover Map 2015 (LCM2015) for Great Britain and Northern Ireland.  It shows the target habitat class with the highest percentage cover in each 1km x 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. ","documentType":"GEMINI_DOCUMENT","familyName":["Rowland"],"fullName":["Rowland, C."],"givenName":["C."],"identifier":"184a89d2-04d1-4955-9b45-5e90a862acda","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T19:54:17.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2017-04-25T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/184a89d2-04d1-4955-9b45-5e90a862acda"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) is the 1km raster, dominant target class version of the Land Cover Map 2015 (LCM2015) for Great Britain and Northern Ireland.  It shows the target habitat class with the highest percentage cover in each 1km x 1km pixel. The 21 target classes…","state":"published","title":"Land Cover Map 2015 (1km dominant target class) Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust"],"authorFamilyName":["Stephens","Tang","Crory","Iwanicka"],"authorFullName":["Stephens, A.","Tang, S.","Crory, A.","Iwanicka, A."],"authorGivenName":["A.","S."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.\n","documentType":"GEMINI_DOCUMENT","familyName":["Stephens","Tang","Crory","Iwanicka"],"fullName":["Stephens, A.","Tang, S.","Crory, A.","Iwanicka, A."],"givenName":["A.","S."],"identifier":"001ab5e0-32a2-4ec7-a6c9-9bad57c46ee6","incomingCitationCount":0,"keyword":["ALPHA sampler","ammonia","Pollution"],"keywordsInstrument":["ALPHA sampler","ammonia"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Local site operator duties are completed by Ulster Wildlife Trust (UWT) and analysis and plotting of results is completed by the UK Centre for Ecology & Hydrology, Edinburgh. Samplers are exposed in monthly cycles at the beginning of each month.\nData analysis and preparation is conducted using the AAGA data processing tool.","locations":["POLYGON((-6.698 54.822, -6.698 54.836, -6.657 54.836, -6.657 54.822, -6.698 54.822))"],"metadataDate":"2026-06-29T17:15:20.000Z","organisation":["UK Centre for Ecology & Hydrology","Ulster Wildlife Trust","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-03-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/001ab5e0-32a2-4ec7-a6c9-9bad57c46ee6","10.5285/001ab5e0-32a2-4ec7-a6c9-9bad57c46ee6","doi:10.5285/001ab5e0-32a2-4ec7-a6c9-9bad57c46ee6"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar…","state":"published","title":"Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland, 2019","topic":["0/Pollution/"],"version":1.0,"view":["public","jualob"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS"],"authorFamilyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"authorFullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"authorGivenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Stream water discharge data from the UK Environmental Change Network (ECN) terrestrial sites. The data (stage and discharge) are collected by loggers at ECN's terrestrial sites (where a stream is present) using a standard protocol. They represent continuous 15-minute records from 1993 to 2015. \n\nThe sites at which these data are collected are: Glensaugh, Moor House - Upper Teesdale, Sourhope, Wytham and Y Wyddfa (Snowdon).\n\nECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Adamson","Anderson","Andrews","Bater","Bayfield","Beaton","Beaumont","Benham","Bowmaker","Britt","Brooker","Brooks","Brunt","Common","Cooper","Corbett","Critchley","Dennis","Dick","Dodd","Donovan","Easter","Flexen","Gardiner","Hamilton","Hargreaves","Hatton-Ellis","Howe","Kahl","Lane","Langan","Lloyd","McElarney","McKenna","McMillan","Milne","Morecroft","Murphy","Nelson","Nicholson","Pallett","Parry","Pearce","Pozsgai","Rose","Schafer","Scott","Sherrin","Shortall","Smith","Tait","Taylor","Thurlow","Turner","Tyson","Watson","Whittaker","Wood"],"fullName":["Rennie, S.","Adamson, J.","Anderson, R.","Andrews, C.","Bater, J.","Bayfield, N.","Beaton, K.","Beaumont, D.","Benham, S.","Bowmaker, V.","Britt, C.","Brooker, R.","Brooks, D.","Brunt, J.","Common, G.","Cooper, R.","Corbett, S.","Critchley, N.","Dennis, P.","Dick, J.","Dodd, B.","Dodd, N.","Donovan, N.","Easter, J.","Flexen, M.","Gardiner, A.","Hamilton, D.","Hargreaves, P.","Hatton-Ellis, M.","Howe, M.","Kahl, J.","Lane, M.","Langan, S.","Lloyd, D.","McElarney, Y.","McKenna, C.","McMillan, S.","Milne, F.","Milne, L.","Morecroft, M.","Murphy, M.","Nelson, A.","Nicholson, H.","Pallett, D.","Parry, D.","Pearce, I.","Pozsgai, G.","Rose, R.","Schafer, S.","Scott, T.","Sherrin, L.","Shortall, C.","Smith, R.","Smith, P.","Tait, R.","Taylor, C.","Taylor, M.","Thurlow, M.","Turner, A.","Tyson, K.","Watson, H.","Whittaker, M.","Wood, C."],"givenName":["S.","J.","R.","C.","N.","K.","D.","V.","G.","P.","B.","M.","A.","Y.","F.","L.","H.","I.","T."],"identifier":"8b58c86b-0c2a-4d48-b25a-7a0141859004","incomingCitationCount":1,"keyword":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms","Environmental Change Network","ILTER","LTER","water discharge","stage","water flow","stream","flux","runoff","watercourse","hydrology","flow"],"keywordsOther":["ILTER","LTER","water discharge","stage","water flow","stream","flux","runoff","watercourse","hydrology","flow"],"keywordsPlace":["United Kingdom","Drayton","Glensaugh","Hillsborough","Moor House - Upper Teesdale","North Wyke","Rothamsted","Sourhope","Wytham","Alice Holt","Porton Down","Yr Wyddfa - Snowdon","Cairngorms"],"keywordsProject":["Environmental Change Network"],"licence":"Open government licence","lineage":"Data are collected by loggers at all of ECN's terrestrial sites (where flowing water is present) using a standard protocol. They represent continuous 15 minute records from 1992 to 2015. Prior to deposit of the data in the EIDC, data are managed by the ECN Data Centre at CEH Lancaster according to defined protocols. \n\nVerification steps include numeric range checks (i.e. checking if a value falls within a specified range), categorical checks (e.g. checking that a species code appears on the standard code list), formatting (i.e. that the dataset conforms to the specified data format) and logical integrity checks (i.e. checking the data make sense, e.g. that the dates in one dataset match those in a related dataset).\n\nAppropriate range settings for ECN variables have been selected following discussion with specialists in each field. Where data fall outside these ranges, a cautious approach has been adopted towards discarding data on the principle that apparent errors may be valid outliers. Such values are discarded only if there is a clear explanation (e.g. an instrumentation error) and corrections are made where possible. If the reason is unclear, the values are stored, but are qualified using pre-defined quality codes or free-text descriptions. Data providers also use these codes or free text to describe factors affecting sampling outside their control, instrument damage or site management effects.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:25:06.000Z","orcid":["https://orcid.org/0000-0002-0027-0436","https://orcid.org/0000-0002-4180-9338"],"organisation":["UK Environmental Change Network","Centre for Ecology & Hydrology","Agri-Food and Biosciences Institute","Rothamsted Research","The James Hutton Institute","Rothamsted Research, North Wyke","Forest Research","Cyfoeth Naturiol Cymru - Natural Resources Wales","ADAS","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-10-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b58c86b-0c2a-4d48-b25a-7a0141859004","10.5285/8b58c86b-0c2a-4d48-b25a-7a0141859004","doi:10.5285/8b58c86b-0c2a-4d48-b25a-7a0141859004"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/05c5y5q11","https://ror.org/0347fy350","https://ror.org/03rzp5127","https://ror.org/03wcc3744","https://ror.org/04x65hs26","https://ror.org/006d11e04","https://ror.org/04xw4m193"],"shortenedDescription":"Stream water discharge data from the UK Environmental Change Network (ECN) terrestrial sites. The data (stage and discharge) are collected by loggers at ECN's terrestrial sites (where a stream is present) using a standard protocol. They represent continuous 15-minute…","state":"published","title":"UK Environmental Change Network (ECN) stream water discharge data: 1993-2015","version":1.0,"view":["kath","srennie","public","phtr@ceh.ac.uk"]},{"authorAffiliation":["Centre for Ecology & Hydrology","European Centre for Medium Range Weather Forecasts"],"authorFamilyName":["Smith","Tanguy","Hannaford","Prudhomme"],"authorFullName":["Smith, K.A.","Tanguy, M.","Hannaford, J.","Prudhomme, C."],"authorGivenName":["K.A.","M.","J.","C."],"authorOrcid":["https://orcid.org/0000-0003-1060-9103","https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310","https://orcid.org/0000-0003-1722-2497"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/014w0fd65"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of the National River Flow Archive (NRFA)  (https://nrfa.ceh.ac.uk/) and provide good spatial coverage across the UK.  These flow reconstructions were produced as part of the Research Councils UK (RCUK) funded Historic Droughts and IMPETUS projects, to provide consistent modelled daily flow data across the UK from 1891-2015, with estimates of uncertainty. This dataset is an outcome of the Historic Droughts Project (grant number: NE/L01016X/1).\nThe data are provided in two formats to help the user account for uncertainty: \n(1) a 500-member ensemble of daily river flow time series for each catchment, with their corresponding model parameters and evaluation metric scores of model performance. \n(2)  a single river flow time series (one corresponding to the top run of the 500), with the maximum and minimum daily limits of the 500 ensemble members.\n\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Smith","Tanguy","Hannaford","Prudhomme"],"fullName":["Smith, K.","Smith, K.A.","Tanguy, M.","Hannaford, J.","Prudhomme, C."],"funder":["Natural Environment Research Council"],"givenName":["Katie","K.A.","M.","J.","C."],"grant":["NE/L01016X/1","NE/L010267/1"],"identifier":"f710bed1-e564-47bf-b82c-4c2a2fe2810e","incomingCitationCount":6,"keyword":["United Kingdom","Historic Droughts","Drought inventory","Drought catalogue","Discharge","GR4J","Uncertainty","Reconstructions","drought","water scarcity","catchment","river","flow"],"keywordsOther":["Drought inventory","Drought catalogue","Discharge","GR4J","Uncertainty","Reconstructions","drought","water scarcity","catchment","river","flow"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Historic Droughts"],"licence":"Open government licence","lineage":"The GR4J model (v 1.0.2)  was run over the calibration period (1982-2014) using 500,000 Latin Hypercube Sampled model parameter sets. These model parameters were assessed against observations from the National River Flow Archive (NRFA). For two catchments (the Thames at Kingston, and the Lea at Feildes Weir) the model was also calibrated against naturalised flows. The model was calibrated using a multi-objective approach comprising of 6 evaluation metrics: Nash Sutcliffe Efficiency (NSE), NSE on log flows (log NSE), Mean Absolute Percent Error (MAPE), Absolute Percent Bias (PBIAS), Absolute Percent Error in Mean Annual Minimum flows over a 30 day accumulation period (MAM30), and Absolute Percent Error in the flow exceeded 95% of the time (Q95).\n\nThe 500,000 model runs were then ranked by each evaluation metric, the ranks were summed, and the runs were reordered according to this final rank. Finally, in order to prevent uneven trade-offs between metrics, the runs were re-ordered according to thresholds of acceptability. \nReconstructed flow timeseries were then run for the top 500 ranking model parameter sets, using PET (Potential Evapotranspiration) (Tanguy et al., 2017: doi https://doi.org/10.5285/17b9c4f7-1c30-4b6f-b2fe-f7780159939c), and reconstructed daily rainfall data, provided by the UK Met Office.\nThe modelled data, and the supporting metadata files, were exported from the R software programme as comma separated value files (.csv), and ingested into the EIDC in this format.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:44:37.000Z","orcid":["https://orcid.org/0000-0003-1060-9103","https://orcid.org/0000-0002-1516-6834","https://orcid.org/0000-0002-5256-3310","https://orcid.org/0000-0003-1722-2497"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","European Centre for Medium Range Weather Forecasts","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-03-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f710bed1-e564-47bf-b82c-4c2a2fe2810e","10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e","doi:10.5285/f710bed1-e564-47bf-b82c-4c2a2fe2810e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/014w0fd65","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is model output from the GR4J lumped catchment hydrology model. It provides 500 model realisations of daily river flow, in cubic metres per second (cumecs, m3/s), for 303 UK catchments for the period between 1891-2015. The modelled catchments are part of…","state":"published","supplementalDescription":["Website for National River Flow Archive (NRFA)"],"supplementalName":["National River Flow Archive (NRFA)"],"title":"Historic reconstructions of daily river flow for 303 UK catchments (1891-2015)","version":1.0,"view":["public","danor"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"This dataset includes neutron probe data measured across the Pontbren study catchment in mid-Wales, UK. Neutron probe access tubes were installed at various locations across the site and measurements taken between 2006-2009 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. To estimate profile volumetric soil moisture content (cm3 cm-3), measurements were taken every 10 cm down the soil profile to a maximum depth of 120 cm below the soil surface. Raw neutron probe count data (16 second sampling time) are provided along with shield count (1 x 64 second sampling time) and water count (average 5 x 64 second sampling time) data. These data are provided in .txt files and have columns indicating the site and plot name along with a time stamp. Depth of observation is shown in the column headings of the data. Due to access tubes becoming water logged it was sometimes not possible to carry out measurements at the lower depths of some of the access tubes. Details of the dataset, monitoring locations and how to convert neutron probe counts to volumetric moisture content are provided in the supporting documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marshall"],"fullName":["Marshall, M."],"givenName":["M."],"identifier":"8f61268c-cd88-402d-ae53-030c9c65575e","incomingCitationCount":0,"keyword":["United Kingdom","Wales","Pontbren","Soil","Water","soil","flooding","hydrology","flood risk management"],"keywordsOther":["Water","soil","flooding","hydrology","flood risk management"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["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":"2026-06-27T19:31:48.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2012-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331813783093","CEH:EIDC::1331813783093","https://catalogue.ceh.ac.uk/id/8f61268c-cd88-402d-ae53-030c9c65575e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes neutron probe data measured across the Pontbren study catchment in mid-Wales, UK. Neutron probe access tubes were installed at various locations across the site and measurements taken between 2006-2009 as part of the Pontbren Catchment Study Land…","state":"published","supplementalDescription":["The Flood Risk Management Research Consortium website","Wheater, H., Reynolds, B., McIntyre, N., Marshall, M., Jackson, B., Frogbrook, Z., Solloway, I., Francis, O. and Chell, J. 2008. Impacts of upland management on flood risk: multi-scale modelling on methodology and results from the Pontbren Experiment. FRMRC Research Report UR 16. December 2008. ","Marshall, M.R., Francis, O.J., Frogbrook, Z.L., Jackson, B.M., McIntyre, N., Reynolds, B., Solloway, I., Wheater, H.S. and Chell, J. 2009. The impact of upland land management on flooding: results from an improved pasture hillslope. Hydrological Processes, 23, 464-475."],"supplementalName":["FRMRC website"],"title":"Pontbren neutron probe soil moisture data","topic":["0/Soil/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"authorFullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"authorGivenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Unknown","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image).  The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.   This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. \n\nLCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. \n\nLCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990.  They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Morton","Carrasco","McShane","O'Neil","Wood"],"fullName":["Rowland, C.S.","Morton, R.D.","Carrasco, L.","McShane, G.","O'Neil, A.W.","Wood, C.M."],"givenName":["C.S.","R.D.","L.","G.","A.W.","C.M."],"identifier":"505d1e0c-ab60-4a60-b448-68c5bbae403e","incomingCitationCount":10,"keyword":["Land cover","Mapping"],"keywordsOther":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The percentage target class is produced from the 25m raster (which is derived from the vector product) by:\n1.\tUsing gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.\n2.\tGdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.\n3.\tGdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-05-11T18:07:29.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-4283-7725","https://orcid.org/0000-0001-7038-9881","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/505d1e0c-ab60-4a60-b448-68c5bbae403e","10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e","doi:10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one…","state":"published","title":"Land Cover Map 2015 (1km percentage target class, GB)","version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Rothamsted Research","Butterfly Conservation"],"authorFamilyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"authorFullName":["Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"authorGivenName":["C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"authorOrcid":["https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0003-1640-6120","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-4869-8052","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-7175-5393"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"availability":"Unknown","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance Index (GAI) model. The trends are presented as year coefficients from the statistical model, Annual Growth Rates (AGR), and the total percentage changes over the time series for each species. For each trend metric 95% and 90% confidence intervals are provided. Two versions of the trends are presented: one using data from all traps in the Britain & Ireland over the period of 1968-2016 and a second dataset restricted to traps in Great Britain over the period of 1970-2016.\n\nData acquisition was partially funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 Achieving Sustainable Agricultural Systems (ASSIST). ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC).  The Rothamsted Insect Survey is funded by the BBSRC under the Core Capability Grant BBS/E/C/000J0200.  The research builds upon model development supported by NERC award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Harrower","Bell","Blumgart","Botham","Fox","Isaac","Roy","Shortall"],"fullName":["Harrower, C.","Harrower, C.A.","Bell, J.R.","Blumgart, D.","Botham, M.S.","Fox, R.","Isaac, N.J.B.","Roy, D.B.","Shortall, C.R."],"funder":["Natural Environment Research Council","Biotechnology and Biological Sciences Research Council"],"givenName":["C.","C.A.","J.R.","D.","M.S.","R.","N.J.B.","D.B.","C.R."],"grant":["NE/N018125/1","BBS/E/C/000J0200"],"identifier":"0a7d65e8-8bc8-46e5-ab72-ee64ed851583","incomingCitationCount":3,"keyword":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE","Biodiversity","Environmental survey"],"keywordsProject":["ASSIST","Achieving Sustainable Agricultural Systems","UK-SCAPE"],"keywordsTheme":["Biodiversity","Environmental survey"],"licence":"Open government licence","lineage":"The Rothamsted light-trap network is a network of standardised light-traps that are operated throughout the year by volunteers. Using standardised traps means that the data from different sites and/or times are directly comparable. Although for the majority of species the time period of the data used in the analysis was 1968-2016, there was a handful of species of species where the time period had to be modified due taxonomic or data issues. For example the time period used for many pug species in the analysis was 1986 onwards due to inconsistency in the identification of these species in earlier years through a lack of suitable identification resources such as field guides. A few other species had initial years excluded due to data issues in those earlier years.\n\nThe GAI methodology is a two-step statistical method designed to analyse count data for taxa showing seasonal patterns in abundance, such as Butterflies and Moths. The first step uses statistical models, in this case generalised additive models (GAMs) with a smoothing spline, to estimate annual flight curves for each species.  The second stage takes these annual flight curves and uses them to correct for seasonal gaps in recording, producing estimated annual abundance indices for each site (site indices), to which a Poisson general linear model (GLM) is fitted allowing to the year and sites effects upon the site. The year coefficient from these GLMs are one of the measures of the temporal abundance trend presented in this data. In addition to the coefficient itself two additional metrics of temporal trend were estimated and are presented here, specifically the Annual Growth Rate (AGR) and the total percentage change over the time series for each species. Confidence intervals on the trend metrics were determined by bootstrapping (1000 replicates).","locations":["POLYGON((-10.669 49.864, -10.669 60.861, 1.768 60.861, 1.768 49.864, -10.669 49.864))"],"metadataDate":"2026-05-11T18:17:37.000Z","orcid":["https://orcid.org/0000-0001-5070-5293","https://orcid.org/0000-0003-1640-6120","https://orcid.org/0000-0002-5276-1405","https://orcid.org/0000-0001-6992-3522","https://orcid.org/0000-0002-4869-8052","https://orcid.org/0000-0002-5147-0331","https://orcid.org/0000-0002-7175-5393"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","Rothamsted Research","Butterfly Conservation"],"publicationDate":"2020-04-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583","doi:10.5285/0a7d65e8-8bc8-46e5-ab72-ee64ed851583"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/0347fy350","https://ror.org/05jg03a59"],"shortenedDescription":"The dataset contains abundance trends for 432 species of moths (mostly macro-moths) estimated using the data collected by Rothamsted Insect Survey (RIS) from their light-trap network between the years 1968 and 2016. The trends were calculated using a Generalized Abundance…","state":"published","supplementalDescription":["The Insect Survey is host to a nationwide network of light-traps and suction-traps that collect invaluable data on the migration of moths and aphids."],"supplementalName":["Rothamsted Research Insect Survey website"],"title":"Moth trends for Britain and Ireland from the Rothamsted Insect Survey light-trap network (1968 to 2016)","topic":["0/Biodiversity/","0/Environmental survey/"],"version":1.0,"view":["public","hajd"]},{"availability":"Unknown","catalogue":"eidc","description":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK Lowland River Chemistry data set), and then continuously at 22 monitoring sites at weekly intervals (from March 2009 to February 2013) as part of the CEH Thames Initiative Programme. These two chemistry data sets cover a period of rapid change in water quality across the Thames catchment, due largely to improvements in sewage treatment.\n\nIn addition, organic pollutant concentrations (11 antibiotics, 3 decongestants and an antiviral) at 21 of the CEH Thames Initiative sites from November 2009 to May 2011, and species-level macrinvertebrate community and habitat data from 14 CEH Thames Initiative sites (2009-2010) are provided. These matched observations allow links between organic and inorganic pollution to be investigated at common sites, and how these pollutants impact on river invertebrate community structure.\n","documentType":"GEMINI_DOCUMENT","familyName":["Bowes"],"fullName":["Bowes, M."],"givenName":["M."],"identifier":"70baf58a-baec-45fb-958a-e6883f7f9f02","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-1.846 51.253, -1.846 52.176, -0.503 52.176, -0.503 51.253, -1.846 51.253))"],"metadataDate":"2025-03-21T09:41:03.000Z","organisation":["Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/70baf58a-baec-45fb-958a-e6883f7f9f02"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"These data sets provide chemical and biological data from common monitoring sites across the Thames Catchment.  They comprise of comprehensive weekly water quality data at multiple sites along the River Thames and its tributaries, intermittently from 1997 to 2007 (UK…","state":"published","title":"Water quality and biological data from the River Thames and its tributaries (1997 to 2013)","version":1.0,"view":["public","nuri"]},{"authorAffiliation":["Louisiana State University","University of Exeter","University of São Paulo","University of Illinois Urbana-Champaign","University of California, Santa Barbara","University of Brasilia"],"authorFamilyName":["Brückner","Nicholas","Aalto","Paes de Almeida","Ashworth","Best","Dunne","Ianniruberto"],"authorFullName":["Brückner, M.","Nicholas, A.P.","Aalto, R.","Paes de Almeida, R.","Ashworth, P.","Best, J.","Dunne, T.","Ianniruberto, M."],"authorGivenName":["M.","A.P.","R.","P.","J.","T."],"authorOrcid":["https://orcid.org/0000-0002-7954-9586","https://orcid.org/0000-0002-8713-8656","https://orcid.org/0000-0003-1503-0141","https://orcid.org/0000-0003-3664-1558","https://orcid.org/0000-0002-9642-4857","https://orcid.org/0000-0001-5314-6140","https://orcid.org/0000-0002-9056-9668"],"authorRor":["https://ror.org/05ect4e57","https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/047426m28","https://ror.org/02t274463","https://ror.org/02xfp8v59"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contains the model output files from eRiDynaS. eRiDynaS is a two-dimensional (grid-based, depth-averaged) River Dynamics Simulator that incorporates equations representing water flow, multi-fraction sediment transport, bank erosion and floodplain processes. Initial channel and floodplain morphology (e.g., river slope, width and depth) and grain size characteristics (for bedload and suspended load) must be specified to define a channel-floodplain system with a simple initial configuration. The river system then evolves during the simulation to develop a self-formed channel and floodplain with morphology that is a product of the imposed model boundary conditions and process representation. Each grid cell in the domain is classed as either channel (unvegetated) or floodplain (partially vegetated). Cells can be converted between these two classes through a range of mechanisms as a simulation proceeds. Process equations and parameter values may differ between channel and floodplain cells, and as a function of floodplain age. \n\nThe data provides the hydrodynamic and morphodynamic results for the reference (no dam) scenarios and the dam scenarios described in the publication for each output timestep (5 flood days) along the simulation time. For the REF-scenarios, total simulation time was 6000 flood days, for the DAM-scenarios 4000 flood days. Details on the values stored in the spreadsheets are provided in the README.txt-file. \n\nIn addition, the post-processing scripts (python-format) were provided to calculate relative bed elevation, water levels, flow velocities and sediment transport rates, to extract floodplain and channel cells, and to extract the secondary floodplain (trench) area.","documentType":"GEMINI_DOCUMENT","familyName":["Brückner","Nicholas","Aalto","Paes de Almeida","Ashworth","Best","Dunne","Ianniruberto"],"fullName":["Brückner, M.","Nicholas, A.P.","Aalto, R.","Paes de Almeida, R.","Ashworth, P.","Best, J.","Dunne, T.","Ianniruberto, M."],"funder":["Natural Environment Research Council"],"givenName":["M.","A.P.","R.","P.","J.","T."],"grant":["NE/T007478/1"],"identifier":"6f2e05ea-d729-453a-8fa9-aeb5a9405011","incomingCitationCount":0,"keyword":["Peru","Bolivia","Hydrology","Modelling","Meandering sand bed rivers","Amazonian foreland rivers","dam construction","morphodynamic change","floodplain hydrology","dam","hydrology","floodplain"],"keywordsOther":["Meandering sand bed rivers","Amazonian foreland rivers","dam construction","morphodynamic change","floodplain hydrology","dam","hydrology","floodplain"],"keywordsPlace":["Peru","Bolivia"],"keywordsTheme":["Hydrology","Modelling"],"licence":"Non-Open government licence","lineage":"The data was produced through simulations using the eridynas-code written in C++. \nThe final data was produced after careful model calibration of the morphodynamic parameters and sensitivity analysis. ","locations":["POLYGON((-81.738 -23.322, -81.738 0.967, -56.074 0.967, -56.074 -23.322, -81.738 -23.322))"],"metadataDate":"2026-06-29T16:31:54.000Z","orcid":["https://orcid.org/0000-0002-7954-9586","https://orcid.org/0000-0002-8713-8656","https://orcid.org/0000-0003-1503-0141","https://orcid.org/0000-0003-3664-1558","https://orcid.org/0000-0002-9642-4857","https://orcid.org/0000-0001-5314-6140","https://orcid.org/0000-0002-9056-9668"],"organisation":["Louisiana State University","University of Exeter","University of São Paulo","University of Illinois Urbana-Champaign","University of California, Santa Barbara","University of Brasilia","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6f2e05ea-d729-453a-8fa9-aeb5a9405011","10.5285/6f2e05ea-d729-453a-8fa9-aeb5a9405011","doi:10.5285/6f2e05ea-d729-453a-8fa9-aeb5a9405011"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/05ect4e57","https://ror.org/03yghzc09","https://ror.org/036rp1748","https://ror.org/047426m28","https://ror.org/02t274463","https://ror.org/02xfp8v59","https://ror.org/04xw4m193"],"shortenedDescription":"The data contains the model output files from eRiDynaS. eRiDynaS is a two-dimensional (grid-based, depth-averaged) River Dynamics Simulator that incorporates equations representing water flow, multi-fraction sediment transport, bank erosion and floodplain processes.…","state":"published","supplementalName":["Nicholas, A. P. (2025). Modelling river and floodplain evolution using physics‐based and reduced‐complexity approaches. Earth Surface Processes and Landforms, 50(3)."],"title":"Hydro-morphodynamic data from numerical simulations of different dam scenarios in Andean Rivers of the Amazon Basin","topic":["0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Lancaster University","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Chappell","Mindham","McShane","Beven"],"authorFullName":["Chappell, N.A.","Mindham, D.","McShane, G.","Beven, K.J."],"authorGivenName":["N.A.","D.","G.","K.J."],"authorOrcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-9818-1465","https://orcid.org/0000-0001-7465-3934"],"authorRor":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall to discharge response of these basins has been modelled with the RIV algorithm of the CAPTAIN Toolbox (Taylor et al., 2007 doi.org/10.1016/j.envsoft.2006.03.002). The resultant modelled characteristics of the rainfall-discharge dynamics are presented on an event-by-event basis.","documentType":"GEMINI_DOCUMENT","familyName":["Chappell","Mindham","McShane","Beven"],"fullName":["Chappell, N.A.","Mindham, D.","McShane, G.","Beven, K.J."],"funder":["Natural Environment Research Council","Environment Agency"],"givenName":["N.A.","D.","G.","K.J.","Nick A "],"grant":["NE/R004722/1"],"identifier":"ea641367-dc35-4695-97b8-63f7d6fa9105","incomingCitationCount":0,"keyword":["rain gauge","Cumbria","Hydrology","Q-NFM","C-NFM","flume","discharge","natural flood management","NFM","nature-based solution","NbS","flood","resilience","model","CAPTAIN toolbox","transfer function","hydrograph","storm","micro-basin","runoff","rainfall","atmospheric precipitation"],"keywordsInstrument":["rain gauge"],"keywordsOther":["Q-NFM","C-NFM","flume","discharge","natural flood management","NFM","nature-based solution","NbS","flood","resilience","model","CAPTAIN toolbox","transfer function","hydrograph","storm","micro-basin","runoff","rainfall","atmospheric precipitation"],"keywordsPlace":["Cumbria"],"keywordsTheme":["Hydrology"],"licence":"Non-Open government licence","lineage":"Observed stream discharge data per unit micro-basin area (mm/15min) were modelled from observed rainfall data from a single raingauge within the micro-basin (mm/15min). \n\nThe simulated discharge time-series (mm/15min) was modelled using the RIVSID algorithms of the CAPTAIN Toolbox (https://wp.lancs.ac.uk/captaintoolbox) that represent dynamics in the form of Transfer Functions. RIVSID is an abbreviation of ‘Refined Instrumental Variable System Identification’ algorithms. These algorithms are available for optimal RIV estimation of multiple-input, discrete-time and hybrid continuous-time Transfer Function models. Details of how to use RIVSID within the Matlab programming environment are given at: https://eprints.lancs.ac.uk/id/eprint/86904/4/CAPTAIN_Getting_Started.pdf. The derived Transfer Function characteristics, sometimes called ‘Dynamic Response Characteristics’ or DRCs, of Time Constant, Steady State Gain and Pure Time Delay. The Time Constant is the transfer time of the propagating flood wave (i.e., celerities) through the catchment (Cheng et al. 2023. Water Resources Research, 59: e2022WR033625, https://doi.org/10.1029/2022WR033625). The Steady State Gain a rainfall-runoff system is simply the simulated runoff coefficient (Chappell et al., 2006. For. Ecol. Manage. 224, 58-80, https://doi.org/10.1016/j.foreco.2005.12.008). The Pure Time Delay in simple terms is the time between a rainfall input and the first discharge response (Chappell et al., 2012. IAHS Publication 353, IAHS Press. 82-93, http://iahs.info/redbooks/a353/iahs_353_0082.pdf). Full and complex explanation of the Transfer Function identification is given within Box, G.E.P, Jenkins, G.M. and Reinsel, G.C. 2008. Time Series Analysis. John Wiley and Sons, pp746.\n\nFor the specific application of RIVSID, each discharge hydrograph event was modelled separately. The characteristics of each simulated discharge hydrograph were then derived from the simulated stream discharge data per unit micro-basin area (mm/15min) also within the Matlab programming environment. \n\nFor fine technical details of how RIVSID was applied to the specific micro-basins, please see Mindham, D., Beven, K. and Chappell, N. 2023. Rainfall-streamflow response times for diverse upland UK micro-basins: quantifying hydrographs to identify the nonlinearity of storm response. Hydrology Research, 54(2): 233-244. https://doi.org/10.2166/nh.2023.115\n","locations":["POLYGON((-3.653 54.049, -3.653 55.154, -2.554 55.154, -2.554 54.049, -3.653 54.049))"],"metadataDate":"2026-06-29T16:31:18.000Z","orcid":["https://orcid.org/0000-0001-6683-951X","https://orcid.org/0000-0002-9818-1465","https://orcid.org/0000-0001-7465-3934"],"organisation":["Lancaster University","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ea641367-dc35-4695-97b8-63f7d6fa9105","10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105","doi:10.5285/ea641367-dc35-4695-97b8-63f7d6fa9105"],"resourceType":"Dataset","rightsHolder":["Lancaster University"],"ror":["https://ror.org/04f2nsd36","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data are dynamic response characteristics (DRCs) produced by modelling the rainfall-runoff behaviour of a series of micro-basins installed by the NERC Q-NFM project largely in Cumbria (UK) and ranging in scale from 0.0071 to 2.7329 sq. km. Specifically, the rainfall…","state":"published","title":"Modelled dynamic response characteristics of selected micro-basins in the UK","topic":["0/Hydrology/"],"version":1.0,"view":["public","shofer"]},{"authorAffiliation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University"],"authorFamilyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"authorFullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"authorGivenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"authorOrcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-0199-7108","https://orcid.org/0000-0001-5862-1596","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE) project to develop an understanding the linkages between saltmarsh soil organic carbon and vegetation. Sites were chosen to represent contrasting habitats types in the UK, in particular sediment types, vegetation and sea level history. The dataset comprises of percentage species cover, plant height, plant richness and plant diversity data from 33 UK saltmarshes.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1.","documentType":"GEMINI_DOCUMENT","familyName":["Ladd","Miller","McMahon","Havelock","Smeaton","Garbutt","Skov","Austin"],"fullName":["Ladd, C.J.T.","Miller, L.C.","McMahon, L.","Havelock, G.M.","Smeaton, C.","Garbutt, A.","Skov, M.W.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.J.T.","L.C.","L.","G.M.","C.","A.","M.W.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"7815291a-ee3e-49a7-8ef1-e8baa81f4964","incomingCitationCount":0,"keyword":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"keywordsOther":["United Kingdom","plant","richness carbon","C-SIDE","substrate","Scotland","England","Wales","coastal ecosystem","wetland","blue carbon","sediment","salt marsh","organic matter","organic carbon","vegetation","biological diversity"],"licence":"Open government licence","lineage":"Across 33 UK saltmarshes 460 vegetation surveys were undertaken using 1m x 1m quadrats. The location of each quadrat was recorded using Differential Global Positioning System (DGPS). Within each quadrat percentage cover of each plant species was estimated by eye. Plant height was measured at 10 random points within each quadrat. The mean plant height and standard deviation for each quadrat was calculated and reported.  Plant species richness was recorded as the number of species present per quadrat and plant diversity was estimated using the Shannon-Wiener Index. Vegetation data were recorded in the field and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:56:54.000Z","orcid":["https://orcid.org/0000-0001-5437-6474","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-0199-7108","https://orcid.org/0000-0001-5862-1596","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0002-7204-3865","https://orcid.org/0000-0001-6544-3468"],"organisation":["University of Glasgow","University of St Andrews","University of York ","University of York","UK Centre for Ecology & Hydrology","Bangor University","NERC EDS Environmental Information Data Centre","The University Court of the University of St Andrews"],"publicationDate":"2022-07-05T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7815291a-ee3e-49a7-8ef1-e8baa81f4964","10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964","doi:10.5285/7815291a-ee3e-49a7-8ef1-e8baa81f4964"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/00vtgdb53","https://ror.org/02wn5qz54","https://ror.org/04m01e293","https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details vegetation composition of UK saltmarshes measured from quadrats across UK saltmarshes. Between 2018 and 2021, vegetation surveys were carried out at 460 sites across 33 saltmarshes as part of the Carbon Storage in Intertidal Environments (C-SIDE)…","state":"published","title":"Vegetation composition data from UK saltmarshes, 2018 to 2021","version":1.0,"view":["public","margla"]},{"authorAffiliation":["Bangor University"],"authorFamilyName":["Graf","Chadwick","Jones"],"authorFullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"authorGivenName":["Martine","David R","Davey L"],"authorOrcid":["https://orcid.org/0000-0001-7994-0529"],"authorRor":["https://ror.org/006jb1a24"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes measurements of chemical and physical changes in both conventional and biodegradable mulch films subjected to different degradation treatments, alongside comparisons with field-weathered reference materials. The data was generated from a 20-week laboratory experiment designed to evaluate artificial degradation methods for plastic mulch films.\nThe dataset comprises observations from four artificial degradation methods-heat treatment and ultraviolet irradiation (UVA and UVC at two intensities)-applied to plastic mulch films over a period of approximately five months. These treatments were assessed against field-aged samples exposed under natural conditions for six months, enabling comparison of degradation rate, efficiency, and similarity to environmental weathering.\nData were collected using a combination of laboratory analytical techniques and physical measurements. Chemical changes were characterised using attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy to derive carbonyl indices, as well as differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA). Physical properties were assessed through measurements of film thickness and surface roughness. The dataset provides a structured comparison of degradation responses across different methods, polymer types, and analytical parameters.\nFurther details on experimental design, methodologies, and data processing are provided in the lineage field and the supporting documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Graf","Chadwick","Jones"],"fullName":["Graf, M.","Chadwick, D.R.","Jones, D.L."],"funder":["Natural Environment Research Council"],"givenName":["M.","Martine","David R","Davey L"],"grant":["NE/V005871/1"],"identifier":"f595a53b-de36-4cff-b92a-33872b4c0622","incomingCitationCount":0,"keyword":["Agriculture","Pollution","agricultural pollution","chemical degradation","mulch","plastic"],"keywordsOther":["agricultural pollution","chemical degradation","mulch","plastic"],"keywordsTheme":["Agriculture","Pollution"],"licence":"Open government licence","lineage":"-\tFilm thickness: Measured with a thickness gauge. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tFilm surface roughness: Measured with a surface roughness tester. Data recorded in paper notebook, transferred to Excel file, then exported as csv file.\n-\tChemical spectra (FTIR): Data was recorded using Cary 630 (Agilent) ATR-FTIR, exported as individual spectra csv files. Data was then combined for each plastic type.\n-\tDSC/TGA: Data exported as Excel file from the instrument software, then exported as csv file.","locations":["POLYGON((-4.019 53.236, -4.019 53.241, -4.011 53.241, -4.011 53.236, -4.019 53.236))"],"metadataDate":"2026-06-29T17:02:23.000Z","orcid":["https://orcid.org/0000-0001-7994-0529"],"organisation":["Bangor University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-05-11T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f595a53b-de36-4cff-b92a-33872b4c0622","10.5285/f595a53b-de36-4cff-b92a-33872b4c0622","doi:10.5285/f595a53b-de36-4cff-b92a-33872b4c0622"],"resourceType":"Dataset","rightsHolder":["Bangor University"],"ror":["https://ror.org/006jb1a24","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset includes measurements of chemical and physical changes in both conventional and biodegradable mulch films subjected to different degradation treatments, alongside comparisons with field-weathered reference materials. The data was generated from a 20-week…","state":"published","title":"Degradation efficiency, rate, and similarity to natural field-aged plastics of plastic mulch films exposed to four artificial methods","topic":["0/Agriculture/","0/Pollution/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service shows bee nectar plant richness across Great Britain .  The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables used in the model are Broad Habitat (the dominant broad habitat of the 1km square), air temperature, nitrogen deposition, precipitation and altitude. \n\nThe map has the following layers: plantCount = a modelled estimate of the count of all bee nectar plants within a 1km by 1km square, SEM = a measure of the variance of the plantCount attribute\n\nUnderstanding the distribution of bee nectar plants does provide valuable information on the potential distribution of pollinators and hence pollination.","documentType":"GEMINI_DOCUMENT","identifier":"2be6d1c5-7b82-4d83-9291-defa59aa8aae","incomingCitationCount":0,"keyword":["Biodiversity","Pollinators","infoMapAccessService "],"keywordsOther":["infoMapAccessService "],"keywordsTheme":["Biodiversity","Pollinators"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-27T18:19:34.000Z","organisation":["Centre for Ecology & Hydrology"],"recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2be6d1c5-7b82-4d83-9291-defa59aa8aae"],"resourceType":"Service","ror":["https://ror.org/00pggkr55"],"shortenedDescription":"This web map service shows bee nectar plant richness across Great Britain .  The source data uses counts of bee nectar plants in Countryside Survey area vegetation plots in 2007 and extrapolates to 1km squares across GB using a generalised additive mixed model. Co-variables…","state":"published","title":"Web map service for bee nectar plant diversity of Great Britain","topic":["0/Biodiversity/","0/Pollinators/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=4"}