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Hydrology"],"authorFamilyName":["Osório","Redhead","Jarvis","May","Pywell"],"authorFullName":["Osório, B.","Redhead, J.W.","Jarvis, S.G.","May, L.","Pywell, R.F."],"authorGivenName":["B.","J.W.","S.G.","L.","R.F."],"authorOrcid":["0000-0001-5540-4203","0000-0002-2233-3848","0000-0001-5382-5135","0000-0003-3385-9973","0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","catalogueView":["assist"],"dataFormat":["TIFF"],"description":"This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015).  The estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution. These data were modelled from Defra British Survey of Fertiliser Practice (BSFP) data using a spatial interpolation procedure.\n\nDifferent uses and potential applications of the produced maps, including the following: \n1) Modelling nutrient fate to predict impacts of changes in farming practices (intensification/extensification) on nutrient runoff to water;\n2) Estimating greenhouse gases (GHG) emissions due to fertiliser application to crops and grassland (linked with air quality impacts);\n3) Quantifying past and future impacts of eutrophication and/or agricultural management on agricultural ecosystems and indicators such as arable plants, farmland birds, pollinators;\n4) Linking crop growth models to predict areas where better nutrient management may improve yields;\n5) Improving policies aimed at mitigating negative impacts of fertiliser use (e.g. catchment sensitive farming to reduce pollution and/or improve water quality).\n\n\nThis data product was 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).","documentType":"GEMINI_DOCUMENT","familyName":["Osório","Redhead","Jarvis","May","Pywell"],"fullName":["Osório, B.","Redhead, J.W.","Jarvis, S.G.","May, L.","Pywell, R.F."],"funder":["Natural Environment Research Council"],"givenName":["B.","J.W.","S.G.","L.","R.F.","Bruno"],"grant":["NE/N018125/1"],"identifier":"15f415db-e87b-4ab5-a2fb-37a78e7bf051","incomingCitationCount":4,"keyword":["England","Achieving Sustainable Agricultural Systems","ASSIST","Agriculture","Land use","Mapping","Fertiliser application","Nitrogen","Phosphorus ","Potassium "],"keywordsOther":["Fertiliser application","Nitrogen","Phosphorus ","Potassium "],"keywordsPlace":["England"],"keywordsProject":["Achieving Sustainable Agricultural Systems","ASSIST"],"keywordsTheme":["Agriculture","Land use","Mapping"],"licence":"Non-Open government licence","lineage":"These maps were created under the ASSIST (Achieving Sustainable Agricultural Systems) project by staff at the Centre for Ecology & Hydrology to enable exploration of the impacts of agrochemical usage on the environment, enabling farmers and policymakers to implement better, more sustainable agricultural practices.\n\nThe maps use data from the  British Survey of Fertiliser Practice (BSFP) (DEFRA) and CEH Land Cover® plus: Crops and have been assessed for quality.  For further information, please see the supporting documentation available with this data product.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-09-02T10:05:50.000Z","orcid":["0000-0001-5540-4203","0000-0002-2233-3848","0000-0001-5382-5135","0000-0003-3385-9973","0000-0001-6431-9959"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-02-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/15f415db-e87b-4ab5-a2fb-37a78e7bf051","10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051","doi:10.5285/15f415db-e87b-4ab5-a2fb-37a78e7bf051"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This product consists of maps of predicted average annual application rates of three different inorganic chemical fertilisers – nitrogen (N), phosphorus (P) and potassium (K) - in England across a six-year period (2010-2015).  The estimates, along with their respective…","state":"published","supplementalName":["ASSIST website"],"temporalExtentText":"Data collected from 2010 to 2015","title":"CEH Land Cover plus: Fertilisers 2010-2015 (England)","topic":["0/Agriculture/","0/Land use/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Corporación COL-TREE","University of Exeter"],"authorFamilyName":["Restrepo","Mercado"],"authorFullName":["Restrepo, Z.","Mercado, L.M."],"authorGivenName":["Z.","L.M."],"authorOrcid":["0000-0002-3213-9985","0000-0003-4069-0838"],"authorRor":["https://ror.org/03yghzc09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree diameter at the base, total tree height and height to the first branch, crown diameters, health status, survival and percentage of herbivory attacks over ten measuring campaigns from February 2019 until January 2022.\n\nTrait data includes leaf area, thickness, dry weight, leaf mass per area total number of branches and leaves per tree. Regarding the common garden plantations the trees were planted in the ground between November 2019 and January 2019 with planting height ranging between 50 and 100 cm (species dependent).","documentType":"GEMINI_DOCUMENT","familyName":["Restrepo","Mercado","Restrepo Correa"],"fullName":["Restrepo, Z.","Mercado, L.M.","Restrepo Correa, Z."],"funder":["Natural Environment Research Council"],"givenName":["Z.","L.M.","Zorayda "],"grant":["NE/R001928/1"],"identifier":"c7ce1610-aba3-4a09-bf7c-1b6c774d597a","incomingCitationCount":0,"keyword":["Antioquia","tree","allometry ","growth","leaf traits"],"keywordsOther":["tree","allometry ","growth","leaf traits"],"keywordsPlace":["Antioquia"],"licence":"Open government licence","lineage":"Trees were planted in open areas in 0.32 m3 soil pits using 400 kg of soil per tree from soil extracted from a nearby location to the 14 deg C site to maintain soil physical and chemical conditions. All trees were tagged and their diameter at 2 cm height was labelled to ensure all posterior measurements were taken at the same stem position. All trees have been watered since planting during dry periods to allow successful plant establishment and avoid water-limitation effects. At each field site, trees were planted in four 600 m2 plots with six blocks within each plot, codified '1' to '6'.  The sixth block was used as a nutrient fertilisation treatment, with monthly additions of N, P, K and secondary and minor elements. Each block contains one tree of each of the fifteen-study species, for a total of 24 trees of each of the fifteen species per site, with 360 trees planted at each site.\n\nTrees were monitored (allometry and leaf structural traits) since they were 18-24 months old from February 2019 until January 2022. A total of ten measuring campaigns were performed for allometry and five for leaf structural traits. The first allometry census was performed at a mid-elevation nursery where trees were germinating and then growing for 18-24 months.  ","locations":["POLYGON((-75.75 5.513, -75.75 5.845, -75.55 5.845, -75.55 5.513, -75.75 5.513))"],"metadataDate":"2026-09-15T08:41:19.000Z","orcid":["0000-0002-3213-9985","0000-0003-4069-0838"],"organisation":["Corporación COL-TREE","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c7ce1610-aba3-4a09-bf7c-1b6c774d597a","10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a","doi:10.5285/c7ce1610-aba3-4a09-bf7c-1b6c774d597a"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset details the allometry and leaf trait measurements in three common gardens of fifteen juvenile tree species from the Colombian Andes planted along a thermosequence (14, 22 and 26 deg C) in the Antioquia region of Colombia.\n\nAllometric data includes tree…","state":"published","temporalExtentText":"Data collected from 2019 to 2022","title":"Leaf structural traits and allometry of juvenile trees across temperature treatments in an experimental plantation in the Colombian Andes, 2019-2022","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Oxford","State University of New York Downstate"],"authorFamilyName":["Erezyilmaz","Lu"],"authorFullName":["Erezyilmaz, D.F.","Lu, K."],"authorGivenName":["D.F.","K. "],"authorOrcid":["0000-0001-8416-8561"],"authorRor":["https://ror.org/052gg0110","https://ror.org/01q1z8k08"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data resource contains Drosophila simulans backcross female mate choice (phenotype) aligned with whole-genome genotypes of 784 female backcross progeny. The data were generated in a laboratory at Stony Brook University, New York and each test was conducted in 28.5 x 95mm plastic vials. Phenotype data was collected in 2015 and the final analysis was completed in 2021. Illumina libraries were sequenced at University of Oregon G3 Genomics Center, and the multiplexed shotgun genotyping (MSG) software was run at Janelia Research Campus, Virginia. The experiments were conducted to align the genotype of females with behavioural phenotype, female preference. Three test females were allowed to choose from three males of either species. ‘Choice’ was determined by copulation, and the species of ‘chosen’ male was recorded before gDNA was extracted from the female.\n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing. Deniz Erezyilmaz was responsible for data collection and interpretation. Those genomes with incomplete or inconsistent genomes due to sparse reads/coverage were eliminated from the analysis.\n\nThe research was funded through NERC grant NE/S010351/1. Investigating the dual role of mate choice genes in behavioural isolation and hybridization.","documentType":"GEMINI_DOCUMENT","familyName":["Erezyilmaz","Lu"],"fullName":["Erezyilmaz, D.F.","Lu, K.","Erezyilmaz, D."],"funder":["Natural Environment Research Council"],"givenName":["D.F.","K. ","Deniz"],"grant":["NE/S010351/1"],"identifier":"8dde3529-1cf7-4b0f-907d-a1631f38afd7","incomingCitationCount":1,"keyword":["QTL analysis","Assortative Hybridization","Quantitative trait locus (QTL) analysis","hybridisation","speciation","assortative mating","Drosophila simulans"],"keywordsOther":["QTL analysis","Assortative Hybridization","Quantitative trait locus (QTL) analysis","hybridisation","speciation","assortative mating","Drosophila simulans"],"licence":"Open government licence","lineage":"The Drosophila simulans backcross genotypes were obtained by Multiplexed Shotgun Genotyping (Andolfatto et al, 2011), and the files were thinned using David Stern’s (Janelia Research Campus) script, pull_thin (Github) were obtained by two-choice assay, females choosing between D. simulans and D. sechellia males. \n\nStandard molecular biology was used to generate Illumina libraries from individual backcross females for sequencing., as described in Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory.  https://doi.org/10.1101/gr.115402.110","metadataDate":"2026-07-25T08:42:39.000Z","orcid":["0000-0001-8416-8561"],"organisation":["University of Oxford","State University of New York Downstate","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8dde3529-1cf7-4b0f-907d-a1631f38afd7","10.5285/8dde3529-1cf7-4b0f-907d-a1631f38afd7","doi:10.5285/8dde3529-1cf7-4b0f-907d-a1631f38afd7"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/01q1z8k08","https://ror.org/04xw4m193"],"shortenedDescription":"The data resource contains Drosophila simulans backcross female mate choice (phenotype) aligned with whole-genome genotypes of 784 female backcross progeny. The data were generated in a laboratory at Stony Brook University, New York and each test was conducted in 28.5…","state":"published","supplementalDescription":["Andolfatto, P., Davison, D., Erezyilmaz, D., Hu, T.T., Mast, J., Sunayama-Morita, T., & Stern, D.L. (2011). Multiplexed shotgun genotyping for rapid and efficient genetic mapping. In Genome Research (Vol. 21, Issue 4, pp. 610–617). Cold Spring Harbor Laboratory."],"title":"Genotype-phenotype association for mate choice in progeny of Drosophila simulans backcross","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University"],"authorFamilyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"authorFullName":["Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N."],"authorGivenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"authorOrcid":["0000-0002-0011-7407","0000-0002-2674-9285","0000-0002-1526-4071","0000-0002-5143-5819","0000-0002-3341-4547","0000-0003-3263-3702"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern Malaysian Borneo. Sampling was conducted as part of a study investigating soil microbial community responses to either active restoration (enrichment planting) or passive restoration (natural regeneration) of selectively logged forest, relative to old-growth soil microbial communities.\n\nThis work was supported through the UK Natural Environment Research Council (NERC) Human Modified Tropical Forests Programme (Biodiversity and Land-use Impacts on Tropical Ecosystem Function (BALI) consortium [NE/K016253/1]), ENVISION Doctoral Training Scheme [NE/L002604/1] and NC International Programme [NE/X006247/1].","documentType":"GEMINI_DOCUMENT","familyName":["Robinson","Elias","Goodall","McNamara","Griffiths","Majalap","Sau Wai","Ostle"],"fullName":["Robinson, S.J.B.","Elias, D.M.O.","Goodall, T.","McNamara, N.","Griffiths, R.","Majalap, N.","Sau Wai, Y.","Ostle, N.","Samuel Robinson"],"funder":["Natural Environment Research Council"],"givenName":["S.J.B.","D.M.O.","T.","N.","R.","Y."],"grant":["NE/K016253/1","NE/L002604/1","NE/X006247/1"],"identifier":"08bfe302-d33f-490d-97be-27bb83a0f38d","incomingCitationCount":0,"keyword":["Biodiversity","bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsOther":["bacteria","ectomycorrhizal","forest rehabilitation","forest restoration","fungi","land use","selective logging","soil","soil microbes","soil properties"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"Soil samples and forest structural and environmental data were collected at nine sites during one campaign in March 2018 . Three sampling sites were chosen in each of three forest types of old-growth, naturally regenerating and actively restored logged forest. Old-growth forest was located in the Danum Valley Conservation Area, and logged forest sites were situated within the adjacent Innoprise Face Foundation Rainforest Rehabilitation Project (INFAPRO) area. A geospatial transect design was employed for soil sampling and measurement of microclimate variables at each site to assess variation in microbial communities over cm to m scales. This comprised three transects radiating out from one centre point positioned at 120 ° to one another. Sampling points were located at the centre point, then at increasing distances of 10 cm, 30 cm, 90 cm, 2.7 m, 8.4 m and 24.3 m along each transect relative to the centre. The circumferences of all tree stems with diameter at breast height (DBH) >5 cm within a 2.5 m buffer of all transects were recorded at each site for site-level calculation of stem density and basal area. Soil physicochemical properties were analysed at the Sabah Forest Research Centre, Sepilok. Organic layer soil microbial community data were generated by 16S and ITS amplicon sequencing at UKCEH Wallingford, and Phospholipid Fatty Acid (PLFA) analysis at Lancaster University in the UK. Fungal functional guild classifications were assigned to fungal sequences using the FUNGuild annotation tool. Alpha diversity indices for microbial groups and relative abundances of fungal guilds were generated after rarefying by minimum read counts for each group . Rates of spatial turnover in soil microbial taxa for different microbial groups were calculated using the distance decay approach via linear modelling.","locations":["POLYGON((117.78 4.939, 117.78 5.012, 117.852 5.012, 117.852 4.939, 117.78 4.939))"],"metadataDate":"2026-07-24T18:57:45.000Z","orcid":["0000-0002-0011-7407","0000-0002-2674-9285","0000-0002-1526-4071","0000-0002-5143-5819","0000-0002-3341-4547","0000-0003-3263-3702"],"organisation":["UK Centre for Ecology & Hydrology","Bangor University","Forest Research Centre, Sabah Forestry Department","Universiti of Malaysia Sabah","Lancaster University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-08-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/08bfe302-d33f-490d-97be-27bb83a0f38d","10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d","doi:10.5285/08bfe302-d33f-490d-97be-27bb83a0f38d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology","Lancaster University"],"ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/040v70252","https://ror.org/04f2nsd36","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains information on soil microbial communities, soil physicochemical properties, forest structural and environmental characteristics across a contiguous area of forest that has undergone contrasting logging disturbance and restoration in Sabah, northern…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Soil microbial communities, soil, environmental and forest structural properties across old-growth forest and naturally regenerating or actively restored selectively logged tropical forest in Sabah, Borneo, March 2018 v2","topic":["0/Biodiversity/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Reinsch","Cagnarini","Cosby","Emmett","Keith","Lebron","Mason","Robinson"],"authorFullName":["Reinsch, S.","Cagnarini, C.","Cosby, B.J.","Emmett, B.A.","Keith, A.","Lebron, I.","Mason, K.","Robinson, D.A."],"authorGivenName":["S.","C.","B.J.","B.A.","A.","I.","K.","D.A."],"authorOrcid":["0000-0003-4649-0677","0000-0001-5106-2429","0000-0001-5645-3373","0000-0002-2713-4389","0000-0001-9619-1320","0000-0001-8610-9717","0000-0003-3426-3178","0000-0001-7290-4867"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains soil water release curves and un-saturated hydraulic conductivity measurements from four long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland plot respectively. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The four grassland-to-woodland contrasts were located across England and sampled once  : Gisburn (Gisburn-1, Gisburn-2), Wytham Woods, and Kielder Forest.\n\nSoil water release curves were measured for topsoil (0-5 cm) using the HYPROP system (UMS, Munich, Germany). Soil water infiltration (unsaturated hydraulic conductivity) was measured during soil sampling campaigns.\n\nSoil hydraulic measurements in this dataset are collocated with aboveground biomass production estimates and litter layer depth measurements, soil physical, chemical and biological properties (0-1 m), and earthworm counts and identification. A file   is provided to connect all co-located measurements.\n\nThis project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). ","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Cagnarini","Cosby","Emmett","Keith","Lebron","Mason","Robinson"],"fullName":["Reinsch, S.","Cagnarini, C.","Cosby, B.J.","Emmett, B.A.","Keith, A.","Lebron, I.","Mason, K.","Robinson, D.A."],"funder":["Natural Environment Research Council"],"givenName":["S.","C.","B.J.","B.A.","A.","I.","K.","D.A."],"grant":["NE/R016429/1"],"identifier":"419af5cd-8adc-4400-9a28-d8e1d48b0bd7","incomingCitationCount":1,"keyword":["SOC","carbon","woodland","topsoil","soil physics","soil hydrology","HYPROP","co-located measurements","SOC-D","UK-SCAPE","soil","hydrology","subsoil","grassland"],"keywordsOther":["SOC","carbon","woodland","topsoil","soil physics","soil hydrology","HYPROP","co-located measurements","SOC-D","UK-SCAPE","soil","hydrology","subsoil","grassland"],"licence":"Open government licence","lineage":"Both soil hydraulic measurements were taken in grids 2 and 5.\n\nThe soil samples   (n=2-3 per grid) for measuring soil water release curves were taken using the HYPROP system (UMS, Munich, Germany) metal ring (5 cm deep, precise volume). The curves were measured using a WP4 potentiometer (Decagon devices, Pullman, Washington, USA). Data were automatically recorded by the HYPROP software and were exported as a .xlsx file which was then converted to .csv.\n\nSoil water infiltration   (cm d-1, conductivity) was measured with a Minidisk infiltrometer (n=2-3 per grid). Water volume loss over time (sec) at a relevant tension was recorded using a stopwatch in the field . Data were collected on field sheets, transferred to Microsoft Excel, and data curves were visually inspected before being transferred to a Microsoft Excel Macro to calculate conductivity.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-24T21:14:54.000Z","orcid":["0000-0003-4649-0677","0000-0001-5106-2429","0000-0001-5645-3373","0000-0002-2713-4389","0000-0001-9619-1320","0000-0001-8610-9717","0000-0003-3426-3178","0000-0001-7290-4867"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/419af5cd-8adc-4400-9a28-d8e1d48b0bd7","10.5285/419af5cd-8adc-4400-9a28-d8e1d48b0bd7","doi:10.5285/419af5cd-8adc-4400-9a28-d8e1d48b0bd7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains soil water release curves and un-saturated hydraulic conductivity measurements from four long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland…","state":"published","temporalExtentText":"Data collected from 2018 to 2021","title":"Soil water release curves and hydraulic conductivity measurements at four long-term grassland-to-woodland land use contrasts across England","version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Public Health Wales"],"authorFamilyName":["Chalmers","Robinson"],"authorFullName":["Chalmers, R.M.","Robinson, G."],"authorGivenName":["R. M.","G."],"authorRor":["https://ror.org/00265c946"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. \n\nSample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples.\n\nThese data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Chalmers","Robinson"],"fullName":["Chalmers, R.M.","Robinson, G."],"funder":["Natural Environment Research Council"],"givenName":["R. M.","G.","Guy"],"grant":["NE/J014818/1"],"identifier":"84242834-dc78-49a6-83cb-951edac65d18","incomingCitationCount":0,"keyword":["DURESS"," Diversity of Upland Rivers for Ecosystem Service Sustainability","Cryptosporidium","Biofilm","fish","mammal","invertebrate"],"keywordsOther":["Cryptosporidium","Biofilm","fish","mammal","invertebrate"],"keywordsProject":["DURESS"," Diversity of Upland Rivers for Ecosystem Service Sustainability"],"licence":"Open government licence","lineage":"Sample preparation methods included a newly developed means of testing whole aquatic invertebrates by grinding them up in Liquid Nitrogen and extracting DNA using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. Nested Image result for PCR (Polymerase chain reaction) PCR targeting Cryptosporidium small subunit rDNA was used to screen the samples for the presence of Cryptosporidium followed by identification of the species using sequencing or species-specific real-time PCRs. Where Cryptosporidium hominis or Cryptosporidium parvum were found, isolates were subtyped by sequencing part of a 60 kilodaltons (kDa) glycoprotein gene. Biota samples were collected by Cardiff University staff and transported to the Cryptosporidium Reference Unit, Swansea for testing. DNA from biofilm samples was extracted at Cardiff University. Invertebrates were pooled up to a maximum of 5 larvae per sample and ground in liquid nitrogen before DNA extracted using the Gentra PureGene DNA extraction kit (Qiagen). Fish gut and gill samples (collected from fish culled for food-web studies) were processed by extracting DNA using the QIAamp DNA Mini kit tissue protocol (Qiagen). Faecal samples from fish, collected by gently massaging the gut just above the anus and mammals, collected from the ground in the riparian zone on ad hoc basis had DNA extracted using QIAamp Fast DNA Stool Mini kit. Samples were screened for any Cryptosporidium DNA using a published nested polymerase chain reaction (PCR) targeting the small subunit rhibosomal DNA (rDNA). The presence of DNA from the two main Cryptosporidium species that cause human cryptosporidiosis (Cryptosporidium parvum and Cryptosporidium hominis) was also screened for using species-specific real-time PCRs targeting the Lib13 and A135 genes. Any C. hominis and C. parvum positive samples were subtyped by sequencing part of the 60kDa glycoprotein gene. The prevalence of Cryptosporidium was very low, which could indicate that the water in these upland rivers is not overly contaminated. However, caution must be taken as no water samples were tested as part of this project and the low prevalence may also be linked to the location of the sampling, the sample sizes, the analytical sensitivity of the testing method and/or the potential for the host species tested to actually carry or be infected by Cryptosporidium species.\n\nResults were entered into Excel spreadsheets and exported to comma separated value files for ingestion into the Environmental Information Data Centre.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T08:37:41.000Z","organisation":["Public Health Wales","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/84242834-dc78-49a6-83cb-951edac65d18","10.5285/84242834-dc78-49a6-83cb-951edac65d18","doi:10.5285/84242834-dc78-49a6-83cb-951edac65d18"],"resourceType":"Dataset","rightsHolder":["Public Health Wales"],"ror":["https://ror.org/00265c946","https://ror.org/04xw4m193"],"shortenedDescription":"These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various…","state":"published","temporalExtentText":"Data collected from 2012 to 2015","title":"Cryptosporidium in upland water biota, United Kingdom (2012-2015)","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Indian Agricultural Research Institute","London School of Hygiene & Tropical Medicine","Imperial College London","Plymouth Marine Laboratory","University of Aberdeen"],"authorFamilyName":["Tomlinson","Bell","Carnell","Clare","Ponnambalam","Dragosits","Bealey","Vieno","Jain","Davies","Picetti","Green","Wang","Artioli","Smith","Sutton"],"authorFullName":["Tomlinson, S.J.","Bell, V.A.","Carnell, E.J.","Pearson, C.","Rameshwaran, P.","Dragosits, U.","Bealey, W.J.","Vieno, M.","Jain, N.","Davies, H.N.","Picetti, R.","Green, R.","Wang, Y.","Artioli, Y.","Smith, P.","Sutton, M.A."],"authorGivenName":["Samuel J.","Vicky A.","Edward J.","Pearson","Rameshwaran","Ulrike","William","Massimo","Niveta","Helen","Roberto","Rosie","Yuanlin","Yuri","Peter","Mark A."],"authorOrcid":["0000-0002-3237-7596","0000-0002-0792-5650","0000-0003-0870-1955","0000-0003-3274-1586","0000-0002-8972-953X","0000-0002-9283-6467","0000-0003-3708-5864","0000-0001-7741-9377","0000-0001-6387-7836","0000-0003-4756-5271","0000-0001-5850-6715","0000-0002-5498-4223","0000-0002-3784-1124","0000-0002-1342-2072"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01bzgdw81","https://ror.org/00a0jsq62","https://ror.org/041kmwe10","https://ror.org/05av9mn02","https://ror.org/016476m91"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"These data are annual spatiotemporal gridded information in the South Asia domain (0.1 x 0.1 degree resolution) that enable hydrological flow modelling to be undertaken. Included are; animal (8 categories) and human populations, atmospheric deposition of reduced and oxidised nitrogen, fertiliser inputs to agricultural soils, catchment flow, drainage direction and urban land use. The data are annual from 1980 to 2035 (with some data on a fixed year; see supporting documentation) and are forecast on three separate scenarios post-2015. All data were collected or generated during the South Asian Nitrogen Hub (SANH - Global Challenge Research Fund, Grant Ref. Number NE/S009019/2).","documentType":"GEMINI_DOCUMENT","familyName":["Tomlinson","Bell","Carnell","Clare","Ponnambalam","Dragosits","Bealey","Vieno","Jain","Davies","Picetti","Green","Wang","Artioli","Smith","Sutton"],"fullName":["Tomlinson, S.J.","Bell, V.A.","Carnell, E.J.","Pearson, C.","Rameshwaran, P.","Dragosits, U.","Bealey, W.J.","Vieno, M.","Jain, N.","Davies, H.N.","Picetti, R.","Green, R.","Wang, Y.","Artioli, Y.","Smith, P.","Sutton, M.A.","Sam Tomlinson"],"funder":["Natural Environment Research Council"],"givenName":["Samuel J.","Vicky A.","Edward J.","Pearson","Rameshwaran","Ulrike","William","Massimo","Niveta","Helen","Roberto","Rosie","Yuanlin","Yuri","Peter","Mark A."],"grant":["NE/S009019/2"],"identifier":"7a8bbed4-de60-4c53-bf0f-7d2074cb174e","incomingCitationCount":0,"keyword":["Hydrology","Pollution","Water quality","Modelling","hydrology","Southern Asia","fertiliser","pollutant deposition","livestock","human population","modelling"],"keywordsOther":["hydrology","Southern Asia","fertiliser","pollutant deposition","livestock","human population","modelling"],"keywordsTheme":["Hydrology","Pollution","Water quality","Modelling"],"licence":"Non-Open government licence","lineage":"Data were collected from publicly available sources or generated via models (e.g. atmospheric deposition from the EMEP atmospheric chemistry transport model). Time series were generated using various historical and forecast time-series datasets to allow for scaling and interpolation of static outputs (2015 & 2030).","locations":["POLYGON((60 -2, 60 41, 100 41, 100 -2, 60 -2))"],"metadataDate":"2026-07-25T06:56:07.000Z","orcid":["0000-0002-3237-7596","0000-0002-0792-5650","0000-0003-0870-1955","0000-0003-3274-1586","0000-0002-8972-953X","0000-0002-9283-6467","0000-0003-3708-5864","0000-0001-7741-9377","0000-0001-6387-7836","0000-0003-4756-5271","0000-0001-5850-6715","0000-0002-5498-4223","0000-0002-3784-1124","0000-0002-1342-2072"],"organisation":["UK Centre for Ecology & Hydrology","Indian Agricultural Research Institute","London School of Hygiene & Tropical Medicine","Imperial College London","Plymouth Marine Laboratory","University of Aberdeen","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-04-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7a8bbed4-de60-4c53-bf0f-7d2074cb174e","10.5285/7a8bbed4-de60-4c53-bf0f-7d2074cb174e","doi:10.5285/7a8bbed4-de60-4c53-bf0f-7d2074cb174e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01bzgdw81","https://ror.org/00a0jsq62","https://ror.org/041kmwe10","https://ror.org/05av9mn02","https://ror.org/016476m91","https://ror.org/04xw4m193"],"shortenedDescription":"These data are annual spatiotemporal gridded information in the South Asia domain (0.1 x 0.1 degree resolution) that enable hydrological flow modelling to be undertaken. Included are; animal (8 categories) and human populations, atmospheric deposition of reduced and…","state":"published","temporalExtentText":"Data collected from 1980 to 2035","title":"Nitrogen emissions-related data including atmospheric deposition, fertiliser application, human and livestock populations, hydrological characteristics, urban land-use for South Asia, 1980-2035","topic":["0/Hydrology/","0/Pollution/","0/Water quality/","0/Modelling/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["Centre for Ecology & Hydrology","The University of Edinburgh"],"authorFamilyName":["Wachowiak","Trivedi","Telford","Cavers"],"authorFullName":["Wachowiak, W.","Trivedi, U.","Telford, A.","Cavers, S."],"authorGivenName":["W.","U.","A.","S."],"authorOrcid":["0000-0003-2139-9236"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Variant Call Format (VCF)"],"description":"Data from whole transcriptome sequencing of the four European pine species - Pinus sylvestris (Scots pine), P. mugo (Dwarf mountain pine), P. uliginosa (Mountain pine) and P. uncinata (Peat-bog pine). Those data include\n  1) transcriptome sequence of a reference Scots pine sample generated using Illumina paired-end sequencing technology and\n  2) information about single nucleotide polymorphisms (SNPs) in 17 samples collected across the European range, compared to the reference Scots pine sample.\n\nThese genomic resources were produced to advance the study of the genetic basis of adaptive variation and speciation in pines. ","documentType":"GEMINI_DOCUMENT","familyName":["Wachowiak","Trivedi","Telford","Cavers"],"fullName":["Wachowiak, W.","Trivedi, U.","Telford, A.","Cavers, S."],"givenName":["W.","U.","A.","S.","Witold"],"identifier":"b6900166-ded6-4f7a-8734-484b6f77b2f1","incomingCitationCount":2,"keyword":["Europe","Evolutionary ecology","Pinus sylvestris","Pinus mugo","Pinus uliginosa","Pinus uncinata"],"keywordsOther":["Pinus sylvestris","Pinus mugo","Pinus uliginosa","Pinus uncinata"],"keywordsPlace":["Europe"],"keywordsTheme":["Evolutionary ecology"],"licence":"Open government licence","lineage":"1. Lineage of the reference transcriptome sequence of Scots pine samples from Glen Tanar (Scotland). Total Ribonucleic acid (RNA) was extracted from needles using Spectrum (TM) Plant Total RNA Kit (Sigma). A template complementary DNA (cDNA) library was prepared using ®TruSeq RNA Sample Preparation Kit (Illumina). The cDNA library was sequenced using Illumina HiSeq 2000 platform at Edinburgh Genomics, the University of Edinburgh, Scotland (Illumina, San Diego, California). 100 base, paired-end reads were generated and assembled de novo into contigs using Trinity (version r2012-06-08). The reference transcript sequence contains 40798 contigs in total. \n\n2. The single nucleotide polymorphism (SNP) data file was prepared by aligning sixteen samples to the reference, a sample set that included P. sylvestris (four samples), P. mugo (five samples), P. uncinata (four samples) and P. uliginosa (three samples). Samples collected between 2006 and 2010.","locations":["POLYGON((-5.5 40, -5.5 61.5, 29.5 61.5, 29.5 40, -5.5 40))"],"metadataDate":"2026-07-25T12:55:51.000Z","orcid":["0000-0003-2139-9236"],"organisation":["Centre for Ecology & Hydrology","The University of Edinburgh","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-10-10T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1412239567948","CEH:EIDC::1412239567948","https://catalogue.ceh.ac.uk/id/b6900166-ded6-4f7a-8734-484b6f77b2f1","10.5285/b6900166-ded6-4f7a-8734-484b6f77b2f1","doi:10.5285/b6900166-ded6-4f7a-8734-484b6f77b2f1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data from whole transcriptome sequencing of the four European pine species - Pinus sylvestris (Scots pine), P. mugo (Dwarf mountain pine), P. uliginosa (Mountain pine) and P. uncinata (Peat-bog pine). Those data include\n  1) transcriptome sequence of a reference Scots…","state":"published","temporalExtentText":"Data collected from 2006 to 2008","title":"Comparative transcriptomics of a complex of four European pine species","topic":["0/Evolutionary ecology/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of York","University of Exeter","University of Sheffield","University of Manchester"],"authorFamilyName":["Keane","Hartley","Phoenix","Taylor"],"authorFullName":["Keane, J.B.","Hartley, I.P.","Phoenix, G.K.","Taylor, C.R."],"authorGivenName":["J.B.","I.P.","G.K.","C.R."],"authorOrcid":["0000-0001-7614-8018","0000-0002-9183-6617","0000-0002-0911-8107","0000-0003-4399-7472"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains information on bio-available phosphorus and microbial biomass phosphorus from two UK grassland soils and how this is affected by elevated CO2 (eCO2). The soils are from naturally phosphorus limited grasslands in the Peak District National Park, in northern England. The grasslands were exposed to eCO2 of 600 ppm, and ambient CO2 controls were maintained at ca. 400 ppm for three growing seasons (2018-2020). Soils were sampled once each year in October, and underwent extraction (bio-available phosphorus) or chloroform-fumigation-extraction (microbial biomass phosphorus) with 0.5M NaHCO3. Concentrations of phosphorus in the extracts were determined by ICP-OES. ","documentType":"GEMINI_DOCUMENT","familyName":["Keane","Hartley","Phoenix","Taylor"],"fullName":["Keane, J.B.","Hartley, I.P.","Phoenix, G.K.","Taylor, C.R.","Keane, B."],"funder":["Natural Environment Research Council"],"givenName":["J.B.","I.P.","G.K.","C.R.","Ben"],"grant":["NE/N0100086/1","NE/N010132/1"],"identifier":"35921c93-2d9e-4e35-8de5-adbfc37641b4","incomingCitationCount":0,"keyword":["Soil","Climate and climate change","Soil microbial biomass","Elevated CO2","phosphorus","grassland","carbon dioxide","biomass","soil"],"keywordsOther":["Soil microbial biomass","Elevated CO2","phosphorus","grassland","carbon dioxide","biomass","soil"],"keywordsTheme":["Soil","Climate and climate change"],"licence":"Open government licence","lineage":"Soils were processed in the laboratories of the University of Sheffield and soil extracts were analysed at the University of Exeter. Internal standards were used to quantify phosphorus concentrations and soil microbial phosphorus values which were unrealistic (negative) were discarded. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T20:36:24.000Z","orcid":["0000-0001-7614-8018","0000-0002-9183-6617","0000-0002-0911-8107","0000-0003-4399-7472"],"organisation":["University of York","University of Exeter","University of Sheffield","University of Manchester","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/35921c93-2d9e-4e35-8de5-adbfc37641b4","10.5285/35921c93-2d9e-4e35-8de5-adbfc37641b4","doi:10.5285/35921c93-2d9e-4e35-8de5-adbfc37641b4"],"resourceType":"Dataset","rightsHolder":["University of Sheffield","University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/05krs5044","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset contains information on bio-available phosphorus and microbial biomass phosphorus from two UK grassland soils and how this is affected by elevated CO2 (eCO2). The soils are from naturally phosphorus limited grasslands in the Peak District National Park,…","state":"published","temporalExtentText":"Data collected from 2018 to 2020","title":"Extractable phosphorus and microbial biomass phosphorus from two UK grassland soils under elevated CO2, 2018-2020","topic":["0/Soil/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Exeter University"],"authorFamilyName":["Nicholas"],"authorFullName":["Nicholas, A."],"authorGivenName":["Andrew"],"availability":"Unknown","catalogue":"eidc","description":"This NERC funded project (NE/L00738X/1) generated field and model datasets to investigate the interactions between processes of flow, sediment transport and river bed evolution in sand-bed rivers. The project involved a collaboration between investigators at the Universities of Birmingham, Brighton, Exeter and Hull. Field data collection was carried out in the South Saskatchewan River, Canada, between 2015 and 2017. Field datasets included: high resolution imagery for two sections of the river; digital surface models of river bed and valley floor elevations generated by image processing and structure from motion photogrammetry; estimates of sediment transport rates derived from bedform migration measurements; and direct measurements of river bed elevation, flow depth and velocity obtained using acoustic instrumentation (single-beam echosounder and acoustic Doppler current profiler). Model datasets include high resolution, three-dimensional simulations of flow structure for a short (400 m) section of the study site, and two-dimensional simulations of river evolution for a multi-km section of river over decadal timescales. \n","documentType":"GEMINI_DOCUMENT","familyName":["Nicholas"],"fullName":["Nicholas, A."],"givenName":["Andrew"],"identifier":"c96218ff-5b47-4a45-9c47-3e5fe62d540c","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-07-25T14:03:52.000Z","organisation":["Exeter University","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c96218ff-5b47-4a45-9c47-3e5fe62d540c"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This NERC funded project (NE/L00738X/1) generated field and model datasets to investigate the interactions between processes of flow, sediment transport and river bed evolution in sand-bed rivers. The project involved a collaboration between investigators at the Universities…","state":"published","title":"Modelling how sediment suspension controls the morphology and evolution of sand-bed rivers","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","University of Salford"],"authorFamilyName":["Barnett","Gashchak","Maksimenko","Chaplow","Wood","Beresford"],"authorFullName":["Barnett, C.L.","Gashchak, S.","Maksimenko, A.","Chaplow, J.S.","Wood, M.D.","Beresford, N.A."],"authorGivenName":["C.L.","S.","A. ","J.S.","M.D. ","N.A."],"authorOrcid":["0000-0001-9723-7247","0000-0002-8058-8697","0000-0002-0635-2387","0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/052dx1v90","https://ror.org/01tmqtf75"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to grassy vegetation, deciduous trees and bacteria; no dose rate estimates for grassy vegetation have been made for those sites where grassy vegetation was absent.\n\nRadiation from the 1986 Chernobyl nuclear power plant accident killed coniferous trees in a 4-6 km2 area of forest to the west of the power plant. This area is now known as the 'Red Forest’ and it has subsequently regenerated with understorey vegetation and deciduous trees; it is the most anthropogenically contaminated radioactive ecosystem on Earth. In July 2016 a severe fire burnt (to varying degrees) c. 80 percent of the Red Forest; this presented a unique opportunity to study the impact of radiation on the recovery of forest ecosystems exposed to a secondary stressor (fire). To investigate this, in September 2017 the RED FIRE project set up sixty study plots in the Red Forest (in burnt and unburnt areas) with a further nine plots established close to Buriakivka village (approximately 8 km from the Red Forest).\n\nVegetation samples from each plot were harvested using shears in September 2017. Each sample was sorted into ‘grassy’ and ‘other’ vegetation; these were air-dried (20-25 degrees Celsius) and the grassy vegetation samples homogenised prior to radionuclide analyses.\n\nSoil core samples collected in September 2017 were bulked, homogenised and sub-samples taken for determination of pH and percentage moisture determined by oven drying (approximately 60 degrees Celsius) to a constant mass. The remaining soil sample was used for the determination of radionuclide activity concentrations; prior to analyses, these samples were dried at approximately 80 degrees Celsius.\n\nThis work was funded by the NERC, Grant Ref: NE/P015212/1 (RED FIRE: Radioactive Environment Damaged by fire: a Forest In Recovery)","documentType":"GEMINI_DOCUMENT","familyName":["Barnett","Gashchak","Maksimenko","Chaplow","Wood","Beresford"],"fullName":["Barnett, C.L.","Gashchak, S.","Maksimenko, A.","Chaplow, J.S.","Wood, M.D.","Beresford, N.A."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.","A. ","J.S.","M.D. ","N.A."],"grant":["NE/P015212/1"],"identifier":"60782622-7bfa-4615-a9e3-0a802a9f4674","incomingCitationCount":0,"keyword":["high-purity germanium γ-detector ","β-spectrometer ","MKS-01R meter","Chernobyl","Red Forest","Chornobyl","Radioecology","Plot experiment","radionuclide activity","Environmental Risk from Ionising Contaminants: Assessment and Management (ERICA)","RED FIRE","bacterium","grass","deciduous tree","radionuclide"],"keywordsInstrument":["high-purity germanium γ-detector ","β-spectrometer ","MKS-01R meter"],"keywordsOther":["Plot experiment","radionuclide activity","Environmental Risk from Ionising Contaminants: Assessment and Management (ERICA)","RED FIRE","bacterium","grass","deciduous tree","radionuclide"],"keywordsPlace":["Chernobyl","Red Forest","Chornobyl"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"Cs-137 activity concentrations were determined in grassy vegetation and soil using a high-purity germanium γ-detector (Model GC3019, Canberra-Packard, Connecticut, USA). A standard 137Cs/152Eu source (OISN-1; Applied Ecology Laboratory of Environmental Safety Centre, Odessa, Ukraine) was used for calibration. The minimal detectable activity was approximately 0.18 Bq per sample with uncertainties of approximately 10-15 percent (p=0.95) depending on the sample type. \n\nSr-90 activity concentrations were determined in soil and grassy vegetation samples using a β-spectrometer (EXPRESS-01) with a thin-filmed (0.1 mm) plastic scintillator detector. No radiochemical pre-treatment was required and samples were analysed as a solid matrix. Daily calibrations were conducted. Spectra were processed by correlating the sample spectra with those obtained from standard sources and those obtained from background measurements; uncertainties were approximately 20 percent (p=0.95).\nPrior to processing to determine activity concentrations of 241Am and Pu isotopes in soil samples, 242Pu and 243Am were added as yield tracers. Samples were dissolved in HF followed by treatment with HNO3, HCl, H3BO3+HNO3 and 8M HNO3. Plutonium and Am were separated using anion exchange resin (Bio Rad AG 1 × 8, 100-200 mesh). The Pu fraction was evaporated. Americium was precipitated with calcium oxalate and then separated using TRU resin columns; lanthanides were removed using an anion exchange resin column. Thin alpha sources of each separated actinide element were prepared by micro co-precipitation with neodymium fluoride and analysed using a Canberra Alpha Analyst alpha spectrometer. Counting errors were typically <20 percent.\n\nTo estimate the activity concentrations of Am-241 and Pu-isotopes for grassy vegetation transfer parameters (CRwo-soil) for Agrostis gigantea from a site within the Red Forest were used (Beresford et al. 2020; Table 4) together with the appropriate measured soil activity concentration (DM). To estimate Sr-90 and Cs-137 activity concentrations in deciduous trees CRwo-soil values from sites within the CEZ were used (Holiaka et al. 2020) together with the measured soil activity concentrations (dry mass); for Am-241 and Pu-isotopes CRwo-soil values for Pinus sylvestris (wood) from a site within the Red Forest were used (Beresford et al. 2020; Table 4).\n\nWeighted absorbed dose rate estimations for grassy vegetation and deciduous tree wood were made using the ERICA Tool http://www.erica-tool.com/ (version 1.3) and the revised ‘R&D128’ spreadsheet model (https://wiki.ceh.ac.uk/display/rpemain/Ar+-+Kr+-+Xe+dose+calculator) was used to estimate the weighted absorbed dose to bacteria. The ambient dose rate (µSv h-1) on the soil surface was measured at each study plot using a MKS-01R meter.","locations":["POLYGON((30.001 51.342, 30.001 51.415, 30.091 51.415, 30.091 51.342, 30.001 51.342))"],"metadataDate":"2026-07-25T06:42:44.000Z","orcid":["0000-0001-9723-7247","0000-0002-8058-8697","0000-0002-0635-2387","0000-0002-8722-0238"],"organisation":["UK Centre for Ecology & Hydrology","Chernobyl Centre for Nuclear Safety","University of Salford","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-02-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/60782622-7bfa-4615-a9e3-0a802a9f4674","10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674","doi:10.5285/60782622-7bfa-4615-a9e3-0a802a9f4674"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/052dx1v90","https://ror.org/01tmqtf75","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise plot details and radionuclide activity concentrations for Sr-90, Cs-137, Am-241, Pu-238, Pu-239 and Pu-240 in ‘grassy’ vegetation and soil. These radionuclide activity concentrations have been used to make estimations of total weighted absorbed doses to…","state":"published","supplementalName":["TREE website","REDFIRE website","CHAR webpage"],"temporalExtentText":"Data collected from 2016 to 2017","title":"Soil and vegetation radionuclide activity concentrations and calculated dose rates from the Red Forest, Chernobyl, Ukraine, 2016-2017","topic":["0/Radioecology/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Rowland","O'Neil","Morton"],"authorFullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"authorGivenName":["C.","C.S.","A.W.","R.D."],"authorOrcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil","Morton"],"fullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.S.","A.W.","R.D.","Chris"],"grant":["NE/R016429/1"],"identifier":"398dd41e-3c08-47f5-811f-da990007643f","incomingCitationCount":7,"keyword":["Land cover","Mapping","Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsOther":["Biodiversity Action Plan","Great Britain","habitat","biodiversity","land cover"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. \n\nLand cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2021 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-10-13T08:13:09.000Z","orcid":["0000-0002-2070-2187","0000-0002-0459-506X","0000-0003-3591-1034","0000-0003-3947-6463"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/398dd41e-3c08-47f5-811f-da990007643f","10.5285/398dd41e-3c08-47f5-811f-da990007643f","doi:10.5285/398dd41e-3c08-47f5-811f-da990007643f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets…","state":"published","temporalExtentText":"Data collected from 2021 to 2021","title":"Land Cover Map 2021 (land parcels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Universidade do Estado do Mato Grosso ","Universidade do Estado de Mato Grosso","Universidade Federal Fluminense","Scottish Universities Environmental Research Centre","University of St Andrews","McMaster University","Universidade Federal de Santa Catarina"],"authorFamilyName":["Feldpausch","Aragão","Phillips","Marimon","Marimon-Júnior","Carvalho","Macario","Ascough","Honorio Coronado","Kalamandeen","Levis"],"authorFullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Marimon, B.S.","Marimon-Júnior, B.H.","Carvalho, L.C.","Macario, K.D.","Ascough, P.L.","Honorio Coronado, E.N.","Kalamandeen, M.","Levis, C."],"authorGivenName":["Ted R.","L.E.O.C.","O.L. ","B.S.","B.H. ","L.C.","K.D. ","P.L.","E.N.","M.","C."],"authorOrcid":["0000-0002-6631-7962","0000-0002-4134-6708","0000-0002-8993-6168","0000-0003-3105-2914","0000-0002-6359-6281","0000-0002-8517-7993","0000-0002-0581-9854","0000-0001-6529-2903","0000-0003-2314-590X","0000-0001-5385-7444","0000-0002-8425-9479"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/02rjhbb08","https://ror.org/05jfq2w07","https://ror.org/02wn5qz54","https://ror.org/02fa3aq29","https://ror.org/041akq887"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains radiocarbon dating of pieces of macrocharcoal (~ ≥ 1 mm) collected from soil in Guyana, Peru and Brazil in plots located in the Amazon forest. All the sites are terra-firme, non-seasonally flooded and are part of the RAINFOR network. In total, 60 pieces of macrocharcoal were dated. \n\nThe Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU.","documentType":"GEMINI_DOCUMENT","familyName":["Feldpausch","Aragão","Phillips","Marimon","Marimon-Júnior","Carvalho","Macario","Ascough","Honorio Coronado","Kalamandeen","Levis","Macario "],"fullName":["Feldpausch, T.R.","Aragão, L.E.O.C.","Phillips, O.L.","Marimon, B.S.","Marimon-Júnior, B.H.","Carvalho, L.C.","Macario, K.D.","Ascough, P.L.","Honorio Coronado, E.N.","Kalamandeen, M.","Levis, C.","Macario , K.D."],"funder":["Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Coordination for the Improvement of Higher Education Personnel, CAPES, Brazil)","Natural Environment Research Council"],"givenName":["Ted R.","L.E.O.C.","O.L. ","B.S.","B.H. ","L.C.","K.D. ","P.L.","E.N.","M.","C.","K.D."],"grant":["PVE177-2012","NE/N011570/1"],"identifier":"b06a08bc-39e5-4401-87dd-9568fd5048fd","incomingCitationCount":2,"keyword":["Amazon","14C","Radiocarbon dating","tropical forest","fire"],"keywordsOther":["14C","Radiocarbon dating","tropical forest","fire"],"keywordsPlace":["Amazon"],"licence":"Open government licence","lineage":"Charcoal fragments were collected from soil in terra-firme forest plots located in the Amazon forest in Guyana, Peru and Brazil. In each plot, a minimum of 3 pits 70 cm deep were opened just outside of the boundaries with 100 m between pits. In each pit, 4 pieces of charcoal were chosen based on the criteria: (i) analysing the sample nearest the surface from each pit, and (ii) splitting the soil profile into 5 cm depth increments and selecting the next three samples from progressively deeper depth intervals. Then, the charcoal pieces were pre-treat and dated by 14C radiocarbon dating using an Accelerator Mass Spectroscopy (AMS) at the NERC Radiocarbon Facility and AMS at the Physics Institute of Universidade Federal Fluminense, Niteroi, Brazil.","locations":["POLYGON((-73.63 -11.9, -73.63 5.02, -55.32 5.02, -55.32 -11.9, -73.63 -11.9))"],"metadataDate":"2026-07-25T12:53:08.000Z","orcid":["0000-0002-6631-7962","0000-0002-4134-6708","0000-0002-8993-6168","0000-0003-3105-2914","0000-0002-6359-6281","0000-0002-8517-7993","0000-0002-0581-9854","0000-0001-6529-2903","0000-0003-2314-590X","0000-0001-5385-7444","0000-0002-8425-9479"],"organisation":["University of Exeter","Instituto Nacional de Pesquisas Espacias","University of Leeds","Universidade do Estado do Mato Grosso ","Universidade do Estado de Mato Grosso","Universidade Federal Fluminense","Scottish Universities Environmental Research Centre","University of St Andrews","McMaster University","Universidade Federal de Santa Catarina","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-09-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b06a08bc-39e5-4401-87dd-9568fd5048fd","10.5285/b06a08bc-39e5-4401-87dd-9568fd5048fd","doi:10.5285/b06a08bc-39e5-4401-87dd-9568fd5048fd"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/024mrxd33","https://ror.org/02cbymn47","https://ror.org/02rjhbb08","https://ror.org/05jfq2w07","https://ror.org/02wn5qz54","https://ror.org/02fa3aq29","https://ror.org/041akq887","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains radiocarbon dating of pieces of macrocharcoal (~ ≥ 1 mm) collected from soil in Guyana, Peru and Brazil in plots located in the Amazon forest. All the sites are terra-firme, non-seasonally flooded and are part of the RAINFOR network. In total,…","state":"published","supplementalDescription":["RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists."],"supplementalName":["RAINFOR"],"temporalExtentText":"Data collected from 2015 to 2019","title":"Radiocarbon dating of charcoal pieces from soil in intact forest permanent plots in the Amazon Basin, 2015-2019","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology"],"authorFamilyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"authorFullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"authorGivenName":["N.","J.T.","A.","L.L.","D.I."],"authorOrcid":["0000-0001-9486-6654","0000-0002-0808-2739","0000-0001-5202-546X"],"authorRor":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms along a gradient of radiation contamination. Five different morphological characters were measured and fluctuating asymmetry (right side minus left side) was calculated. Fluctuating asymmetry was calculated here as FA2: [|R-L|/(R+L)/2)] where R and L represent measurements in micrometres for right and left sides of the five morphological characters. Number of segments represents raw right minus left data for the number of antennal segments and is thus provided in a separate column. All data provided are means of two independent measurements. In addition, a measure of environmental factors and total dose rates are also provided in this dataset. Blank cells indicate where no data was available.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Ford","Nagorskaya","Gudkov"],"fullName":["Fuller, N.","Smith, J.T.","Ford, A.","Nagorskaya, L.L.","Gudkov, D.I."],"funder":["Natural Environment Research Council"],"givenName":["N.","J.T.","A.","L.L.","D.I.","Neil"],"identifier":"47f036c4-e319-4825-9cb8-f27977eb20dd","incomingCitationCount":1,"keyword":["Radioecology","Asellus aquaticus"],"keywordsOther":["Asellus aquaticus"],"keywordsTheme":["Radioecology"],"licence":"Open government licence","lineage":"The data comprises a series of experiments to assess the impacts of chronic radiation exposure at Chernobyl on the development, reproduction and genetic diversity of the freshwater crustacean, Asellus aquaticus. Field samples were collected from six lakes of varying contamination in Belarus and the Ukraine in 2015 and 2016 using kick netting and immediately preserved in ethanol and returned to the Institute of Marine Sciences, University of Portsmouth. Development was assessed using the fluctuating asymmetry technique, which assesses deviations from the expected perfect bilateral symmetry of an organism. Presented data is the results of the FA2 assay: FA2 = mean [| R − L | / (R + L) / 2)] where R and L represent measures of the right and left side of the organism in µm respectively. Measurements were conducted blind using Image J (v1.48) on randomly coded images obtained using a Leica DFC130 camera. Data is provided for two sampling periods; 2015 and 2003-2005 (conducted by colleagues at the Belarusian National Academy of Sciences).  Reproduction was assessed by analysis of fecundity and the proportion of gravid females at each site. Data presented includes number of eggs, weight of eggs (in milligrams), female weight (in milligrams), weight-normalised egg numbers (in milligrams) and sampling dates. Weights were obtained using a Kern ABT 120-5DM analytical fine balance with a precision of ± 0.02 mg. Data is presented from two sampling years at six sites of varying contamination. Dose rates are also provided, calculated using ERICA based on deposition values at the corresponding site. Finally, genetic diversity was calculated following genotyping-by-sequencing analysis conducted at the genomic diversity facility, Cornell University, New York. Data provided includes a number of routinely used genetic diversity parameters calculated at both the individual level (inbreeding coefficient, F, observed and expected heterozygosity) and population level (Tajima’s D & Nucleotide Diversity). This data was generated using the UNEAK pipeline within TASSEL software (v 3.0) by bioinformatics analysists at Cornell University. Tajima’s D & Nucleotide were calculated using the PopGenome package in R Studio. ","locations":["POLYGON((30.042 50.912, 30.042 51.131, 30.602 51.131, 30.602 50.912, 30.042 50.912))"],"metadataDate":"2026-07-24T21:18:13.000Z","orcid":["0000-0001-9486-6654","0000-0002-0808-2739","0000-0001-5202-546X"],"organisation":["University of Portsmouth","National Academy of Sciences, Belarus","Institute of Hydrobiology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/47f036c4-e319-4825-9cb8-f27977eb20dd","10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd","doi:10.5285/47f036c4-e319-4825-9cb8-f27977eb20dd"],"resourceType":"Dataset","ror":["https://ror.org/03ykbk197","https://ror.org/02j8pe645","https://ror.org/04y7jcj09","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains morphological data from the isopod crustacean, Asellus aquaticus collected from Chernobyl affected areas of Belarus and Ukraine in 2015. This data was collected to calculate fluctuating asymmetry, a measure of developmental stability, in organisms…","state":"published","supplementalDescription":["Fuller, N., Smith, J.T., Nagorskaya, L.L., Gudkov, D.I., & Ford, A.T. (2017). Does Chernobyl-derived radiation impact the developmental stability of Asellus aquaticus 30 years on? Science of The Total Environment, 576, 242–250. ","Fuller, N., Lerebours, A., Smith, J.T., & Ford, A.T. (2015). The biological effects of ionising radiation on Crustaceans: A review. Aquatic Toxicology, 167, 55–67.","Fuller, N., Ford, A.T., Nagorskaya, L.L., Gudkov, D.I., & Smith, J.T. (2018). Reproduction in the freshwater crustacean Asellus aquaticus along a gradient of radionuclide contamination at Chernobyl. Science of The Total Environment, 628–629, 11–17"],"temporalExtentText":"Data collected from 2015 to 2016","title":"Impacts of chronic radiation exposure on reproduction, development and genetic diversity of the freshwater crustacean Asellus aquaticus at Chernobyl","topic":["0/Radioecology/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"authorFullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"authorGivenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"authorOrcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Esri file geodatabase"],"description":"This dataset consists of the vector version of the Land Cover Map 2007 for Great Britain, containing individual parcels of land cover. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Rowland","Wood","Meek","Marston","Smith"],"fullName":["Morton, R.D.","Rowland, C.S.","Wood, C.M.","Meek, L.","Marston, C.G.","Smith, G.M."],"givenName":["R.D.","C.S.","C.M.","L.","C.G.","G.M."],"identifier":"2ab0b6d8-6558-46cf-9cf0-1e46b3587f13","incomingCitationCount":5,"keyword":["Great Britain","England","Scotland","Wales","Land cover"],"keywordsOther":["Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. Version 1.2 includes the addition of OS tile HZ. See online documentation for further details. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-09-15T08:43:18.000Z","orcid":["0000-0003-3947-6463","0000-0002-0459-506X","0000-0002-2070-2187"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399374764702","CEH:EIDC::1399374764702","https://catalogue.ceh.ac.uk/id/2ab0b6d8-6558-46cf-9cf0-1e46b3587f13","10.5285/2ab0b6d8-6558-46cf-9cf0-1e46b3587f13","doi:10.5285/2ab0b6d8-6558-46cf-9cf0-1e46b3587f13"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2007 for Great Britain, containing individual parcels of land cover. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based…","state":"published","supplementalDescription":["R.D. Morton, C. Rowland, C. Wood, L. Meek, C. Marston, G. Smith, R. Wadsworth, I. Simpson. July 2011 CS Technical Report No 11/07: Final Report for LCM2007 - the new UK land cover map. NERC/Centre for Ecology & Hydrology (CEH Project Number NEC03259)."],"temporalExtentText":"Data collected from 2005 to 2008","title":"Land Cover Map 2007 (vector, GB) v1.2","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["Cranfield University"],"authorFamilyName":["Beale","Grabowski","Vercruysse"],"authorFullName":["Beale, J.E.P.","Grabowski, R.C.","Vercruysse, K."],"authorGivenName":["J.E.P.","R.C.","K."],"authorOrcid":["0000-0003-4154-8032","0000-0002-0926-1202","0000-0001-9716-5191"],"authorRor":["https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile","Comma-separated values (CSV)"],"description":"The data was produced as part of a study to determine human impacts on river planform change within the context of short- and long-term river channel dynamics. To this end, the Himalayan Sutlej-Beas River system was used as a case study to (i) systematically assess changes in river planform characteristics over centennial, annual, seasonal, and episodic timescales; (ii) connect the observed patterns of planform change to human-environment drivers and interactions; and (iii) conceptualise these geomorphic changes in terms of timescale-dependant evolutionary trajectories. The dataset was derived from historic maps (1847-1850) and remote sensing data (Landsat over a 30-year period). It comprises post monsoon season wet river area annually 1989-2018, post monsoon season active gravel bars annually 1989-2018, active channel area (maximum extent between 1989-2018), active channel width annually 1989-2018, active channel width assessed from historic map (1847–1850), and the Anabranching index, annually 1989-2018. The work was supported by the Natural Environment Research Council (Grant NE/S01232X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Beale","Grabowski","Vercruysse"],"fullName":["Beale, J.E.P.","Grabowski, R.C.","Vercruysse, K."],"funder":["Natural Environment Research Council"],"givenName":["J.E.P.","R.C.","K."],"grant":["NE/S01232X/1"],"identifier":"f7aada06-7352-44c0-988e-2f4b31690189","incomingCitationCount":0,"keyword":["Fluvial geomorphology","river planform","Landsat","river","geomorphology","remote sensing"],"keywordsOther":["Fluvial geomorphology","river planform","Landsat","river","geomorphology","remote sensing"],"licence":"Open government licence","lineage":"Wet river area: The annual wet river area was extracted automatically from satellite imagery of Landsat 5 to 8 (1989 to 2018) using average post-monsoon season (October-December) values of the modified Normalized Difference Water Index (mDNWI) to differentiate water and land areas (Huang et al., 2018). The wet river area was extracted from the mNDWI raster images by the threshold mNDWI > 0.15. After manual editing to remove individual water pixels away from the river, the raster images were converted to polygon shapefiles). There is a feature for each year of measurement. The wet river area was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nActive gravel bars: Visible red reflectance from Landsat 5 to 8 (1989 to 2018) was used to identify bare gravel bars showing high reflectance (> 0.16) using average post-monsoon season (October-December) values. Only pixels within a buffer defined by the maximum extent of the wet river area over the observed period were considered. After applying the reflectance threshold to raster images, shapefiles were created to define the active gravel bars as features. There is a feature for each year of measurement.\n\nActive Channel Area: The wet river area shapefiles from individual years 1989-2018 were aggregated together to produce a single feature that delineates areas that were wetted in the post-monsoon season in one or more years between 1989-2018, to estimate the extent of the active channel.\n\nActive channel width: The channel width was considered as the width of the wet area, including any gravel bars where that were surrounded by water. This width was automatically calculated every 2 km and was repeated for wet areas estimates derived from an historic map (“The Trans-Sutluj Division, comprising the districts of Jalundhur, Hoshyarpoor and Kangra”) (Revenue Survey of India, 1852) which was produced between 1847 and 1852.  Width was measured perpendicular to the riverbank. The mean active channel width was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nAnabranching Index (AI): The anabranching index reflects the number of active channels separated by bars or islands, measured in at least 10 cross sections (spaced the width of one braid plain apart). The AI was calculated for Reaches 1 and 2 and for each of the sections within Reach 2; these values are tabulated in the .csv files as an annual series.\n\nQuality control: Landsat satellite data was used to collect information on spectral surface reflectance.  These data are accompanied by quality assessment bands which were used to select data before processing, particularly with respect to obtaining cloud-free images.  Processing was conducted by the project team, with using and spot validation against aerial satellite photography. Data were checked for errors at all stages by members of the project team at Cranfield University.","locations":["POLYGON((74.957 30.78, 74.957 32.225, 76.706 32.225, 76.706 30.78, 74.957 30.78))"],"metadataDate":"2026-07-25T18:08:58.000Z","orcid":["0000-0003-4154-8032","0000-0002-0926-1202","0000-0001-9716-5191"],"organisation":["Cranfield University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-05-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7aada06-7352-44c0-988e-2f4b31690189","10.5285/f7aada06-7352-44c0-988e-2f4b31690189","doi:10.5285/f7aada06-7352-44c0-988e-2f4b31690189"],"resourceType":"Dataset","rightsHolder":["Cranfield University"],"ror":["https://ror.org/05cncd958","https://ror.org/04xw4m193"],"shortenedDescription":"The data was produced as part of a study to determine human impacts on river planform change within the context of short- and long-term river channel dynamics. To this end, the Himalayan Sutlej-Beas River system was used as a case study to (i) systematically assess…","state":"published","temporalExtentText":"Data collected from 1847 to 1850; Data collected from 1989 to 2018","title":"River planform dynamics in the Beas and Sutlej catchments, India, 1847 and 1989-2018","version":1.0,"view":["public","margla"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Tab delimited text"],"description":"This dataset is from an automatic weather station (AWS) located at the Pontbren study site in mid-Wales, UK. The AWS was installed at the Bowl study site, an area of improved grassland, between 2006-2010 as part of the Pontbren Catchment Study Land Use and Management Multi-Scale Experimental Programme. The parameters measured by the AWS were; incident radiation, wind speed and direction, soil and air temperature, relative humidity and net radiation. All sensors are sampled every one minute and provided in the form of daily and ten-minute averages. Data are provided in the form of .txt files and generally split into six-month blocks. Associated with each data point in the .txt file is a quality assurance code, QA code, in the adjacent column. Details of the dataset and the quality assurance coding system (Appendix A) are provided in the supporting documentation. Other measurements taken at the Bowl include monitoring runoff from an improved grassland field in the form of overland and drain flow, soil water tension, soil volumetric moisture content, groundwater height and precipitation.","documentType":"GEMINI_DOCUMENT","familyName":["Marshall"],"fullName":["Marshall, M."],"givenName":["Miles"],"identifier":"7afa3b6a-c5c9-4ec5-9e1c-f162411f51cc","incomingCitationCount":0,"keyword":["United Kingdom","Wales","Pontbren","Climate and climate change","soil","flooding","hydrology","flood risk management"],"keywordsOther":["soil","flooding","hydrology","flood risk management"],"keywordsPlace":["United Kingdom","Wales","Pontbren"],"keywordsTheme":["Climate and climate change"],"licence":"Non-Open government licence","lineage":"Digital data subject to manual validation procedures during capture and transfer to the main geo database and through subsequent statistical analysis and modelling. Full details provided in the 'Pontbren data catalogue'.","locations":["POLYGON((-3.447 52.632, -3.447 52.656, -3.391 52.656, -3.391 52.632, -3.447 52.632))"],"metadataDate":"2026-07-25T06:56:40.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2012-04-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1331809601210","CEH:EIDC::1331809601210","https://catalogue.ceh.ac.uk/id/7afa3b6a-c5c9-4ec5-9e1c-f162411f51cc"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is from an automatic weather station (AWS) located at the Pontbren study site in mid-Wales, UK. The AWS was installed at the Bowl study site, an area of improved grassland, between 2006-2010 as part of the Pontbren Catchment Study Land Use and Management…","state":"published","supplementalDescription":["Marshall, M. R., Francis, O. J., Frogbrook, Z. L., Jackson, B. M., McIntyre, N., Reynolds, B., ... Chell, J. (2009). The impact of upland land management on flooding: results from an improved pasture hillslope. Hydrological Processes, 23(3), 464-475. ","Wheater, Howard; Reynolds, Brian; McIntyre, Neil; Marshall, Miles; Jackson, Bethana; Frogbrook, Zoë; Solloway, Imogen; Francis, Oliver; Chell, Jo. 2008 Impacts of upland land management on flood risk: Multi-scale modeling methodology and results from the Pontbren experiment. Manchester, Flood Risk Management Research Consortium, 126pp. (FRMRC Research Report UR16, CEH Project Number: C02699)"],"supplementalName":["FRMRC website"],"temporalExtentText":"Data collected from 2005 to 2010","title":"Pontbren automatic weather station (AWS) dataset","topic":["0/Climate and climate change/"],"version":1.0,"view":["public","bpu"]},{"authorAffiliation":["University of Southampton"],"authorFamilyName":["Wood","Hawkins","Godbold","Solan"],"authorFullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"authorGivenName":["C.L.","S.J.","J.A.","Martin"],"authorRor":["https://ror.org/01ryk1543"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset details macrofaunal biomass across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the biomass of individual invertebrate species present within the top 10cm of sediment. Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate cores of sediment were collected at each quadrat. They were sieved on a 0.5mm mesh and the macrofauna was removed, identified to species (or appropriate taxon) and individuals of each species weighed. Values for macrofaunal biomass are expressed as grams per square metre of sediment.\n\nBiomass data for mudflat habitats across Essex and Morecambe are complete, however, saltmarsh data is only available for one full Essex site (Tillingham Marsh), in one season (winter) and across all sites, at the 1m scale.\n\nThis data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.\n","documentType":"GEMINI_DOCUMENT","familyName":["Wood","Hawkins","Godbold","Solan"],"fullName":["Wood, C.L.","Hawkins, S.J.","Godbold, J.A.","Solan, M."],"funder":["Natural Environment Research Council"],"givenName":["C.L.","S.J.","J.A.","Martin"],"grant":["NE/J015644/1"],"identifier":"0990858a-facc-47c5-bfbe-58fa30431db8","incomingCitationCount":0,"keyword":["Morecambe Bay","Essex","BESS","CBESS","Macoma balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsOther":["Macoma balthica","Eteone longa","Pygospio elegans","Abra tenuis","Peringia ulvae","Corophium arenarium","Corophium volutator","Hediste diversicolor"],"keywordsPlace":["Morecambe Bay","Essex"],"keywordsProject":["BESS","CBESS"],"licence":"Open government licence","lineage":"The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).\n\n3 cylindrical cores of sediment (10cm depth and diameter) were taken at each quadrat and fixed in 4 percent buffered formalin in seawater. The cores were then sieved on a 0.5mm mesh and the residue retained and preserved in 70 percent Industrial Methylated Spirit (IMS). Using a stereo microscope, all the animals were picked out of the residue, identified to species level (or appropriate taxon) and stored in vials containing 70 percent IMS. In cases where specimens had been damaged (any badly damaged specimens or parts of specimens where no head was present were separated into major group debris (annelid, mollusc and crustacea) pots. To obtain the biomass data, the individuals of each taxon (from one replicate) were blotted on tissue paper to remove any excess IMS. They were then weighed on a balance and the weight was recorded to 0.0001g. In situations where the animals were too light to register on the balance, a weight of 0.0001g was recorded. (The same method was used to obtain biomass values for major group debris.) The data were then multiplied by 127.323955 and rounded to 0.0001g to give results in metre squared. ","locations":["POLYGON((-3 51.5, -3 54.25, 1 54.25, 1 51.5, -3 51.5))"],"metadataDate":"2026-09-15T08:43:16.000Z","organisation":["University of Southampton","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-12-31T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/0990858a-facc-47c5-bfbe-58fa30431db8","10.5285/0990858a-facc-47c5-bfbe-58fa30431db8","doi:10.5285/0990858a-facc-47c5-bfbe-58fa30431db8"],"resourceType":"Dataset","rightsHolder":["University of Southampton"],"ror":["https://ror.org/01ryk1543","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset details macrofaunal biomass across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the biomass of individual invertebrate species present within the top 10cm of sediment. Three sites were located in Essex,…","state":"published","temporalExtentText":"Data collected from 2013 to 2013","title":"Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) macrofaunal biomass in mudflat and saltmarsh habitats","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Reading"],"authorFamilyName":["Pena","Tibbett"],"authorFullName":["Pena, R.","Tibbett, M."],"authorGivenName":["R.","M."],"authorOrcid":["0000-0002-7985-6906","0000-0003-0143-2190"],"authorRor":["https://ror.org/05v62cm79"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset encompasses 1) Detailed measurements of root architecture parameters - numerical values for Total length (cm), Area (cm²), Surface area (cm²), Average diameter (mm); Root volume (cm³), Number of tips, forks, and crossings; and 2) The physiological responses of poplar trees under varying light conditions - measurements of Transpiration rate (mmol m⁻² s⁻¹), Net CO₂ assimilation rate (µmol m⁻² s⁻¹), Intercellular CO₂ concentration (µmol mol⁻¹),   Intercellular CO₂ partial pressure (Pa),  and Stomatal conductance to water vapour (mol m⁻² s⁻¹). Data were generated in a glasshouse experiment under elevated CO₂ (740 µmol mol⁻¹).\nThe Root Architecture data was collected when the trees were six months old. Net Photosynthesis Light Curves were recorded at four time points, starting when the poplar  trees were two months old and continuing until they were six months old. \n\nThe root architecture data were obtained through WinRhizo scanning and software (Regent Instruments Inc., Quebec City, QC, Canada). The physiological measurements were recorded using LI-6800P Portable Photosynthesis System (LI-COR Biosciences, Lincoln, NE, USA). To construct the light curves, measurements were taken starting from a maximum light intensity of 1500 PPFD (µmol m⁻² s⁻¹) and subsequently decreased to 800, 200 and 50 µmol m⁻² s⁻¹ until no light was applied.\n\nIn this experiment, micro-propagated poplar clones were cultivated under four different conditions: without fungi (fungal-free plants), with ectomycorrhizal fungi (ectomycorrhizal plants), with saprotrophic fungi (saprotrophic fungal plants), and with both ectomycorrhizal and saprotrophic fungi (fungal plants). The purpose of the experiment was to evaluate plant performance under the influence of different fungal guilds and their interactions.","documentType":"GEMINI_DOCUMENT","familyName":["Pena","Tibbett"],"fullName":["Pena, R.","Tibbett, M.","Rodica Pena"],"funder":["Natural Environment Research Council"],"givenName":["R.","M.","Rodica"],"grant":["NE/W005816/1"],"identifier":"82721bfc-d707-4255-bc5b-4d5882f9881b","incomingCitationCount":0,"keyword":["Soil","Biodiversity","WinRhizo","light curves","ectomycorrhiza","saprotrophs","poplar clone"],"keywordsOther":["WinRhizo","light curves","ectomycorrhiza","saprotrophs","poplar clone"],"keywordsTheme":["Soil","Biodiversity"],"licence":"Open government licence","lineage":"The plant material used was Populus canescens (grey poplar), a hybrid between Populus tremula and Populus alba. The poplar clones were initially aseptically cultivated in Murashige and Skoog (MS) medium and subsequently transferred to a sandy substrate. The trees were harvested at six months old. The entire root system was collected and immediately scanned using the WinRhizo system. The obtained images were automatically processed using the device's internal software, ensuring accuracy and consistency. No additional data processing was required. Physiological measurements were conducted regularly at four time points during the growth period in the sandy substrate, from when the trees were two months old until they reached six months. Data were collected and processed using the LI-6800P system's internal software, ensuring no additional data processing was necessary. Once collected, the data were controlled to ensure integrity and accuracy and then transferred to the data bank.","metadataDate":"2026-07-25T08:36:50.000Z","orcid":["0000-0002-7985-6906","0000-0003-0143-2190"],"organisation":["University of Reading","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-09-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/82721bfc-d707-4255-bc5b-4d5882f9881b","10.5285/82721bfc-d707-4255-bc5b-4d5882f9881b","doi:10.5285/82721bfc-d707-4255-bc5b-4d5882f9881b"],"resourceType":"Non-geographic dataset","rightsHolder":["University of Reading"],"ror":["https://ror.org/05v62cm79","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset encompasses 1) Detailed measurements of root architecture parameters - numerical values for Total length (cm), Area (cm²), Surface area (cm²), Average diameter (mm); Root volume (cm³), Number of tips, forks, and crossings; and 2) The physiological responses…","state":"published","temporalExtentText":"Data collected from 2023 to 2023","title":"Physiological measurements and root morphology of poplar trees cultivated with different fungal guilds","topic":["0/Soil/","0/Biodiversity/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Newcastle University","Universitas Jenderal Soedirman"],"authorFamilyName":["Birkinshaw","Suroso","Kilsby"],"authorFullName":["Birkinshaw, S.J.","Suroso, S.","Kilsby, C.K."],"authorGivenName":["S.J.","S.","C.K."],"authorOrcid":["0000-0003-4989-7915"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","TIFF"],"description":"The dataset contains model output from the CityCAT hydrodynamic model showing maximum water depths in Jakarta, Indonesia, during the January/February 2007 flood. \n\nThe hourly rainfall and hourly lateral inflow boundary conditions from rivers used to obtain the flooding depths are also included.","documentType":"GEMINI_DOCUMENT","familyName":["Birkinshaw","Suroso","Kilsby"],"fullName":["Birkinshaw, S.J.","Suroso, S.","Kilsby, C.K.","Birkinshaw, S."],"funder":["Natural Environment Research Council"],"givenName":["S.J.","S.","C.K.","Stephen"],"grant":["NE/S003274/1"],"identifier":"8e58f0bb-3ff1-41e8-b8f4-380983ec68bc","incomingCitationCount":0,"keyword":["Indonesia","Jakarta","Hydrological modelling","Hydrodynamic modelling ","modelling","flooding"],"keywordsOther":["Hydrological modelling","Hydrodynamic modelling ","modelling","flooding"],"keywordsPlace":["Indonesia","Jakarta"],"licence":"Open government licence","lineage":"Rainfall data was obtained from hourly and daily measurements with the daily rainfall disaggregated to hourly values. River lateral inflow boundary conditions was obtained from the Shetran hydrological model of the three upstream catchments calibrated against measured discharge data. DEM data in CityCAT was obtained from the  aw3d30 DEM dataset and river channels obtained from OpenSteetMap. ","locations":["POLYGON((106.5 -6.6, 106.5 -6, 107.2 -6, 107.2 -6.6, 106.5 -6.6))"],"metadataDate":"2026-07-25T08:42:57.000Z","orcid":["0000-0003-4989-7915"],"organisation":["Newcastle University","Universitas Jenderal Soedirman","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-07-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc","10.5285/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc","doi:10.5285/8e58f0bb-3ff1-41e8-b8f4-380983ec68bc"],"resourceType":"Dataset","rightsHolder":["Newcastle University"],"ror":["https://ror.org/04xw4m193","https://ror.org/01kj2bm70"],"shortenedDescription":"The dataset contains model output from the CityCAT hydrodynamic model showing maximum water depths in Jakarta, Indonesia, during the January/February 2007 flood. \n\nThe hourly rainfall and hourly lateral inflow boundary conditions from rivers used to obtain the flooding…","state":"published","temporalExtentText":"Data collected from 2007 to 2007","title":"Modelled flood depths and river inflow, with associated rainfall data, in Jakarta for the January-February 2007 flood","version":1.0,"view":["public","clwe"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}