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dataset is a multi-band GeoTIFF providing mean annual area-density carbon fluxes (MgC ha-1 yr-1) across the intact tropical savanna and dry forest biome, mapped at 10 × 10 km resolution. It maps fluxes for the major ecosystem carbon pools: above-ground woody carbon (AWC), below-ground woody carbon (BWC), above- and below-ground grass carbon (AGC, BGC), and top soil organic carbon (SOC; 0-30 cm). For each pool, the raster includes a posterior mean and lower/upper 95% credible bounds (e.g., awc_flux_mean/lo/hi). A total woody carbon flux (TWC = AWC + BWC) mean is also provided (twc_flux_mean). Positive values indicate net carbon gain (sink) and negative values indicate net loss (source), expressed per hectare per year.\n\nFluxes are derived by upscaling plot-observed changes in AWC to the full area of intact tropical savannas and dry forests using a statistical model, then extending to other pools using pool-to-pool relationships. First, a generalised additive model (GAM) is developed between the relative rate of AWC change (lambda, % yr-1) from 424 permanent plots (2000-2024) spanning the dry tropics and a set of predictor variables. The predictors capture climate (mean annual precipitation and temperature and their recent trends), fire regime (burned years and its trend), soils (sand content and soil organic carbon density), and human pressure (travel time to nearest city). The lambda predictions are multiplied by a global above-ground woody carbon stock map (ESA CCI-Biomass) to predict mean annual AWC flux (MgC ha-1 yr-1). BWC flux is then estimated from below:above woody ratios or a published root:shoot function at each pixel. AGC and BGC fluxes were modeled using a relationship that links grass biomass to rainfall and woody stocks. SOC flux is inferred from a relationship between SOC spatial data (SoilGrids, 0-30 cm) and AWC (CCI-Biomass). Together these produce pool-specific flux means. Uncertainty is quantified by drawing from the posterior of the upscaling model and propagating the pool relationship methods. The lower (lo) and upper (hi) bands represent the 95% credible interval for each pool's flux.\n\nThe mapping domain is restricted to the intact tropical savannas and dry forests where environmental conditions are well represented by the field plot network (approximately 74% of the intact extent). Pixels outside this area, transformed land covers, non-woody vegetation, and evergreen closed-canopy rainforests are excluded. The fluxes represent mean annual changes over the study period since 2000.  This work is part of the SECO project, resolving the current and future carbon dynamics of the dry tropics funded by NERC (NE/T01279X/1).","documentType":"GEMINI_DOCUMENT","familyName":["Godlee","Harrison","Milodowski","Augustin","Staver","Archibald","Mograbi","Abreu","Adu-Bredu","Aguirre","Almanza J. 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E.","Gonçalves, F.M.","González-M., R.","Gotore, T.","Gouvêa, Y.F.","Grace, J.","Guilherme, F.A.G.","Guimarães, K.S.","Gutierrez-Sibauty, G.","van der Heijden, G.M.F.","Hernández-Stefanoni, J.L.","Hubau, W.","Hutley, L.B.","Idárraga-Piedrahita, Á.","Ifo, S.A.","Imbroisi, R.","Ishida, F.Y.","Issifu, H.","Kanda, N.B.","Kathambi, V.","Kemp, J.","Kigomo, J.N.","Killeen, T.J.","Kulavmode, A.R.","Kumar, V.S.","Labrière, N.","Lenza, E.","Levesley, A.","Lewis, S.","Libalah, M.B.","Lima, H.C.","Lima, J.R.S.","Linares-Palomino, R.","Lopez, W.O.","Loto, D.","Lumbwe, F.C.","Machado, D.L.","Malhi, Y.","Manu, E.A.","Marcelo-Peña, J.L.","Mariano, E.S.","Marimon, B.S.","Marimon-Junior, B.H.","Marques, A.M.L.","Martins, M.S.","Masinde, C.W.","Mawunu, M.","Mbuvi, M.T.E.","McNicol, I.M.","Medeiros-Sarmento, P.S.","Meira-Junior, M.S.","Melgaço, K.","Melo, O.A.","Menezes, R.S.C.","Metzker, T.","Mews, H.A.","Miguel, E.P.","Mitchard, E.T.A.","Moonlight, P.W.","Morandi, P.S.","Morellato, L.P.C.","Moura, M.S.B.D.","Muchawona, A.","Mugasha, W.A.","Muledi, J.I.","Muscarella, R.","Mutondo, H.","Naftal, L.","Nascimento, M.T.","Nascimento, R.O.D.","Navarro-Rosales, F.","Nelaballi, S.","das Neves, E.C.","Neves, D.M.","Nieto-Quintano, P.","Njoghomi, E.E.","Nunes, Y.R.F.","Oliveira, F.C.","Oliveira, R.C.","Oliveira, C.H.L.","Oliveira, E.A.D.O.","Oliveira Silva, J.","Oliveras Menor, I.","Ongole, S.","Palacios, S.C.","Pandi, V.","Parada, G.A.","Parr, C.L.","Parthasarathy, N.","Pérez-Albarracín, K.E.","Perez Aviles, D.","Perez-Marin, A.M.","Pickavance, G.C.","Pinto, J.R.R.","Pizano, C.","Powers, J.S.","Prestes, N.C.C.S.","Queiroz, L.P.","Quintana, C.","Ramírez, H.","Ramos, D.M.","Ratnam, J.","Rees, M.","Reis, S.M.","Restrepo, Z.","Reynel, C.A.","Rezende, A.V.","Ribeiro, N.S.","Rocha, R.R.","Rodrigues, P.M.S.","Rodriguez, G.M.M.","Rustiami, H.","Saiz, G.","Sampaio, E.V.S.B.","Sankaran, M.","Santos, M.G.","Santos, R.M.","Särkinen, T.","Schwartz, N.B.","Shutcha, M.N.","Silva, B.K.N.","Silva, D.F.","Silva, R.A.","Sonké, B.","de Sousa Oliveira, T.C.","Souza, R.","Sposito, T.C.","Steininger, M.K.","Strydom, T.","Sullivan, M.J.P.","Tchamba, J.J.","Teegalapalli, K.","Tng, D.Y.P.","Toledo, J.J.","Torres-Romero, F.","Trethowan, L.A.","Tun-Dzul, F.J.","Uriarte, M.","Utteridge, T.M.A.","Valencia, R.","Vanderlei, R.S.","Vargas G., G.","Veenendaal, E.","Vélez C, J.A.","Veloso, M.D.D.M.","Vieira, F.C.","Vieira, L.A.F.","Vilanova, E.","Villela, D.M.","Wekesa, C.","Wells, L.H.","Zarza, E.","Zuanny, D.","Hegerl, G.C.","Quegan, S.","Williams, M.","Sitch, S.","Pennington, R.T.","Baker, T.R.","Phillips, O.L.","Dexter, K.G.","Ryan, C.M.","Harrison, S."],"funder":["Natural Environment Research Council"],"givenName":["John L. 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Agriculture","Université de Lubumbashi","Uppsala University","Embrapa Amazônia Oriental","Tanzania Forestry Research Institute","Universidade Estadual de Roraima","Universidade Federal do Vale do São Francisco","Universidad Nacional Agraria La Molina","Manipal Academy of Higher Education","University of Liverpool","Fundación Orinoquia Biodiversa","University of Minnesota","Instituto Nacional do Semiárido","Universidad Icesi","Universidade Estadual de Feira de Santana","Pontificia Universidad Católica del Ecuador","Universidad de Los Andes","Corporación COL-TREE","University of Brasilia","Eduardo Mondlane University","Fundación Ecosistemas Secos de Colombia","National Research and Innovation Agency (BRIN)","Instituto Nacional de Investigación y Tecnología Agraria y Alimentari","Federal University of Pernambuco","Royal Botanic Garden Edinburgh","University of British Columbia","stituto Superior de Ciências da Educação do Huambo","Universidade Federal de Mato Grosso","Forschungszentrum 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The aim of IPI was to promote innovative research aimed at understanding and mitigating the biological and environmental factors that adversely affect insect pollinators. 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The Insect Pollinators Initiative (IPI) was funded by Biotechnology and Biological Sciences Research Council (BBSRC), Natural Environment Research Council (NERC), Department…","state":"published","title":"Insect Pollinators Initiative datasets","topic":["0/Pollinators/"],"version":1.0,"view":["public","hajd"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. 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It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019.  \n\nLCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W."],"grant":["NE/R016429/1"],"identifier":"d33593d7-5c4d-419e-924c-b341847fd6ae","incomingCitationCount":0,"keyword":["Northern ireland","Land cover","Land use","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsPlace":["Northern ireland"],"keywordsTheme":["Land cover","Land use","Mapping"],"licence":"Non-Open government licence","lineage":"The 1km dominant cover target class is produced from the 1km percentage cover target class product. The 1km percentage cover data is used to identify the highest percentage cover across the 21 bands and a script is used to identify which band the maximum value coincides with.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T14:18:29.000Z","orcid":["0000-0002-0459-506X","0000-0002-2070-2187","0000-0003-3947-6463","0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-10-12T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d33593d7-5c4d-419e-924c-b341847fd6ae","10.5285/d33593d7-5c4d-419e-924c-b341847fd6ae","doi:10.5285/d33593d7-5c4d-419e-924c-b341847fd6ae"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover…","state":"published","temporalExtentText":"Data collected from 1990 to 1990","title":"Land Cover Map 1990 (1km dominant target class, N. Ireland)","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Exeter University"],"authorFamilyName":["Sankey","Mwanguhya","Cant"],"authorFullName":["Sankey, D.","Mwanguhya, F.","Cant, M."],"authorGivenName":["D.","F. ","M."],"authorOrcid":["0000-0002-1530-3077"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides details about each time we observed two banded mongoose groups engaging in what ended up being lethal conflict at our field site (Mweya, Uganda) between 2000-2011. The dataset provides information about which group won the contest (measured by which group ran from the location of the fight), which individual died in the battle, whether that individual was in the losing or winning group, and the date. The purpose of this data was to estimate the proportion of mortalities which come from winning groups vs. losing groups. ","documentType":"GEMINI_DOCUMENT","familyName":["Sankey","Mwanguhya","Cant"],"fullName":["Sankey, D.","Mwanguhya, F.","Cant, M."],"funder":["Natural Environment Research Council"],"givenName":["D.","F. ","M.","Daniel"],"grant":["NE/S009914/1"],"identifier":"75f2072e-f708-46d8-baff-0c6d02d81ede","incomingCitationCount":1,"keyword":["Animal behaviour","Banded mongoose","Intergroup conflict","Lethal","Mortalities from conflict","Mungos mungo","animal behaviour"],"keywordsOther":["Banded mongoose","Intergroup conflict","Lethal","Mortalities from conflict","Mungos mungo","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Collected ad libitum by the banded mongoose research project, on tablets with a specific user interface for data entry. Entries are compiled and checked over by the field manager, before being sent to the University of Exeter. No more processing steps have been applied. ","locations":["POLYGON((29.87 -0.21, 29.87 -0.171, 29.927 -0.171, 29.927 -0.21, 29.87 -0.21))"],"metadataDate":"2026-11-05T14:38:51.000Z","orcid":["0000-0002-1530-3077"],"organisation":["Exeter University","NERC EDS Environmental Information Data Centre","University of Exeter"],"publicationDate":"2023-08-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/75f2072e-f708-46d8-baff-0c6d02d81ede","10.5285/75f2072e-f708-46d8-baff-0c6d02d81ede","doi:10.5285/75f2072e-f708-46d8-baff-0c6d02d81ede"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset provides details about each time we observed two banded mongoose groups engaging in what ended up being lethal conflict at our field site (Mweya, Uganda) between 2000-2011. The dataset provides information about which group won the contest (measured by…","state":"published","temporalExtentText":"Data collected from 2000 to 2011","title":"Mortality data for a population of banded mongooses (Mungos mungo) in Mweya, Uganda, 2000-2011","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Unaffiliated"],"authorFullName":["National Plant Monitoring Scheme "],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource provides plot-level plant occurrence data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat characteristics, at the metre-scale; observations are accompanied by percentage cover information recorded according to the Domin frequency-abundance scale commonly used in plant community ecology. Other information provided includes the plot type (size, shape, according to the NPMS classification), the volunteer-recorded NPMS habitat, the date of sampling, and information regarding the spatial location of the plot. Information contained within the metadata file should allow users to reconstruct the sampling history (including gaps) of any plot that has been sampled within the NPMS scheme between 2015 and 2022.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\nPlease be aware that this dataset is updated annually and that more recent versions exist.\n\n","documentType":"GEMINI_DOCUMENT","fullName":["National Plant Monitoring Scheme "],"funder":["Natural Environment Research Council"],"grant":["NE/R016429/1 "],"identifier":"f7ef2dc5-2bce-4436-8f65-90f7a99acff2","incomingCitationCount":1,"keyword":["Environmental survey","National Plant Monitoring Scheme","NPMS","UK-SCAPE","plant community","habitat","environmental monitoring","vegetation"],"keywordsOther":["National Plant Monitoring Scheme","NPMS","UK-SCAPE","plant community","habitat","environmental monitoring","vegetation"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Data are collected directly from volunteers into a custom Indicia database system through the National Plant Monitoring Scheme website or app. The Indicia system is built on a PostgreSQL/PostGIS database, and the data presented here were extracted directly from this master database using appropriate SQL queries. See the associated documentation for more information on the broader Quality Assurance processes supporting the NPMS.","locations":["POLYGON((-8.648 48.749, -8.648 60.861, 1.956 60.861, 1.956 48.749, -8.648 48.749))"],"metadataDate":"2026-11-05T13:29:47.000Z","organisation":["Unaffiliated","NERC EDS Environmental Information Data Centre","Natural Environment Research Council"],"publicationDate":"2023-03-02T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f7ef2dc5-2bce-4436-8f65-90f7a99acff2","10.5285/f7ef2dc5-2bce-4436-8f65-90f7a99acff2","doi:10.5285/f7ef2dc5-2bce-4436-8f65-90f7a99acff2"],"resourceType":"Dataset","rightsHolder":["Natural Environment Research Council"],"ror":["https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This data resource provides plot-level plant occurrence data for the first eight years (2015-2022) of the National Plant Monitoring Scheme (covering the UK, the Channel Islands, and the Isle of Man). Data consist of individual observations of plants, and other habitat…","state":"published","supplementalName":["Indicia database system","National Plant Monitoring Scheme website"],"temporalExtentText":"Data collected from 2015 to 2022","title":"National Plant Monitoring Scheme survey data (2015-2022)","topic":["0/Environmental survey/"],"version":1.0,"view":["public","margla"]},{"availability":"Unknown","catalogue":"eidc","description":"This series contains data on projections of global changes in water scarcity with the current extent of food products were combined to identify the potential country level vulnerabilities of food product land to water scarcity in 2050.\n\nThe data relate to an analysis of the impact changes in water availability will have on food product availability in 2050 for:\n(i) Croplands\n(ii) Pasture lands\n(iii) Maize, rice, wheat, vegetables, pulses and fruit production","documentType":"GEMINI_DOCUMENT","familyName":["Fitton"],"fullName":["Fitton, N."],"givenName":["Nuala"],"identifier":"1bbd334f-339f-4ecb-8a4c-0aff4dac3db0","incomingCitationCount":0,"licence":"Non-Open government licence","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T19:16:09.000Z","organisation":["Institute of Biological & Environmental Sciences, University of Aberdeen","NERC EDS Environmental Information Data Centre"],"recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1bbd334f-339f-4ecb-8a4c-0aff4dac3db0"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This series contains data on projections of global changes in water scarcity with the current extent of food products were combined to identify the potential country level vulnerabilities of food product land to water scarcity in 2050.\n\nThe data relate to an analysis…","state":"published","title":"Delivering Food Security on Limited Land (DEVIL)","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Institut de Radioprotection et de Sûreté Nucléaire","Independent Radiological Protection Specialist","Belgian Nuclear Research Centre","University of Salford","National Institute of Radiological Sciences","Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas","International Atomic Energy Agency","Institute for the Application of Nuclear Energy","Scientific & Production Association TYPHOON","McMaster University","Fukushima University","National Radiation Protection Institute","Stockholm University","BfS"],"authorFamilyName":["Beresford","Beaugelin-Seiller","Wells","Vives-Lynch","Vives i Batlle","Wood","Tagami","Real","Burgos","Fesenko","Cujic","Kryshev","Pachal","Su","Barnett","Uchida","Hinton","Mihalík","Stark","Willrodt","Chaplow"],"authorFullName":["Beresford, N.A.","Beaugelin-Seiller, K.","Wells, C.","Vives-Lynch, S.","Vives i Batlle, J.","Wood, M.D.","Tagami, K.","Real, A.","Burgos, J.","Fesenko, S.","Cujic, M.","Kryshev, A.","Pachal, N.","Su, B.S.","Barnett, C.L.","Uchida, S.","Hinton, T.","Mihalík, J.","Stark, K.","Willrodt, C.","Chaplow, J.S."],"authorGivenName":["N.A.","K.","C.","S.","J.","M.D.","A.","M.","N.","B.S.","C.L.","T.","J.S."],"authorOrcid":["0000-0002-8722-0238"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/01ha22c77","https://ror.org/020xs5r81","https://ror.org/01tmqtf75","https://ror.org/05szqz470","https://ror.org/05xx77y52","https://ror.org/02zt1gg83","https://ror.org/02mme4d79","https://ror.org/02fa3aq29","https://ror.org/03zjb7z20","https://ror.org/02vwpg498","https://ror.org/05f0yaq80","https://ror.org/02yvd4j36"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise biological and ecological half-life values for marine, freshwater, terrestrial and riparian organisms. The database includes 1908 biological half-life values for 52 elements across a range of wildlife groups (marine, freshwater, terrestrial and riparian). The compilation of values from a range of sources was conducted by an international working group under the auspices of an International Atomic Energy Agency programme.","documentType":"GEMINI_DOCUMENT","familyName":["Beresford","Beaugelin-Seiller","Wells","Vives-Lynch","Vives i Batlle","Wood","Tagami","Real","Burgos","Fesenko","Cujic","Kryshev","Pachal","Su","Barnett","Uchida","Hinton","Mihalík","Stark","Willrodt","Chaplow"],"fullName":["Beresford, N.A.","Beaugelin-Seiller, K.","Wells, C.","Vives-Lynch, S.","Vives i Batlle, J.","Wood, M.D.","Tagami, K.","Real, A.","Burgos, J.","Fesenko, S.","Cujic, M.","Kryshev, A.","Pachal, N.","Su, B.S.","Barnett, C.L.","Uchida, S.","Hinton, T.","Mihalík, J.","Stark, K.","Willrodt, C.","Chaplow, J.S.","Beresford, N."],"givenName":["N.A.","K.","C.","S.","J.","M.D.","A.","M.","N.","B.S.","C.L.","T.","J.S.","Nick"],"identifier":"b95c2ea7-47d2-4816-b942-68779c59bc4d","incomingCitationCount":7,"keyword":["Pollution","Radioecology","radioecology","biological","ecological","elimination","rate","concentration","ratio","marine","terrestrial","wildlife","riparian zone","freshwater","half-life","radionuclide"],"keywordsOther":["radioecology","biological","ecological","elimination","rate","concentration","ratio","marine","terrestrial","wildlife","riparian zone","freshwater","half-life","radionuclide"],"keywordsTheme":["Pollution","Radioecology"],"licence":"Open government licence","lineage":"Prior to beginning the review, a recording sheet (in Microsoft Excel), was designed to allow easy collation of the various components into the final database. The wildlife group categorisations were broadly compatible with those used in the Wildlife Transfer Database (as described by Copplestone et al. 2013) and subsequently by the IAEA (Howard et al. 2013; IAEA 2014). The 'Changeover time' is the intersect of the first and second biological half-lives when two regression lines on a logarithmic scale. No attempt was made to standardise the English common names used; similarly we have not updated Latin species names, but we acknowledge that these may have changed since the original publications.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-25T12:57:45.000Z","orcid":["0000-0002-8722-0238"],"organisation":["Centre for Ecology & Hydrology","Institut de Radioprotection et de Sûreté Nucléaire","Independent Radiological Protection Specialist","Belgian Nuclear Research Centre","University of Salford","National Institute of Radiological Sciences","Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas","International Atomic Energy Agency","Institute for the Application of Nuclear Energy","Scientific & Production Association TYPHOON","McMaster University","Fukushima University","National Radiation Protection Institute","Stockholm University","BfS","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-06-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b95c2ea7-47d2-4816-b942-68779c59bc4d","10.5285/b95c2ea7-47d2-4816-b942-68779c59bc4d","doi:10.5285/b95c2ea7-47d2-4816-b942-68779c59bc4d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/01ha22c77","https://ror.org/020xs5r81","https://ror.org/01tmqtf75","https://ror.org/05szqz470","https://ror.org/05xx77y52","https://ror.org/02zt1gg83","https://ror.org/02mme4d79","https://ror.org/02fa3aq29","https://ror.org/03zjb7z20","https://ror.org/02vwpg498","https://ror.org/05f0yaq80","https://ror.org/02yvd4j36","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise biological and ecological half-life values for marine, freshwater, terrestrial and riparian organisms. The database includes 1908 biological half-life values for 52 elements across a range of wildlife groups (marine, freshwater, terrestrial and riparian).…","state":"published","supplementalDescription":["Handbook of parameter values for the prediction of radionuclide transfer to wildlife (2014). Technical Reports Series No. 479. IAEA, Vienna."],"temporalExtentText":"Data collected from 1957 to 2015","title":"A database of radionuclide biological half-life values for wildlife","topic":["0/Pollution/","0/Radioecology/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","CSX Carbon","Natural England"],"authorFamilyName":["Jovani-Sancho","Williamson","Spill","Cooper","Kitson","Tso","Monkman","Callaghan","Egryn-Crabtree","Cumming","McKenzie","Hopper","Dixon","Evans"],"authorFullName":["Jovani-Sancho, J.","Williamson, J.","Spill, J.","Cooper, H.","Kitson, E.","Tso, M.","Monkman, G.","Callaghan, N.","Egryn-Crabtree, D.","Cumming, A.","McKenzie, R.","Hopper, M.","Dixon, S.","Evans, C."],"authorGivenName":["Jonay","Jennifer","John","Hollie","Ezra","Michael","Graham","Nathan","Dafydd","Alexander","Rebecca","Mark","Sam","Christopher"],"authorOrcid":["0000-0002-7824-0501","0000-0001-8216-5885","0000-0002-7750-6099"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/00r66pz14"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises daily peat surface level, water table depth, soil temperature and relative humidity. These data were collected as part of the England Peat Map project to quantify peat surface motion across the range of peat habitats across England. Instruments were installed between April 2022 and September 2023. Data represent the mean of 2 hourly raw data presented as a daily average. The dataset contains data from 51 peatland sites across England, collected using fixed point photography between April 2022 and December 2025.","documentType":"GEMINI_DOCUMENT","familyName":["Jovani-Sancho","Williamson","Spill","Cooper","Kitson","Tso","Monkman","Callaghan","Egryn-Crabtree","Cumming","McKenzie","Hopper","Dixon","Evans"],"fullName":["Jovani-Sancho, J.","Williamson, J.","Spill, J.","Cooper, H.","Kitson, E.","Tso, M.","Monkman, G.","Callaghan, N.","Egryn-Crabtree, D.","Cumming, A.","McKenzie, R.","Hopper, M.","Dixon, S.","Evans, C.","Jennifer Williamson"],"funder":["Natural England"],"givenName":["Jonay","Jennifer","John","Hollie","Ezra","Michael","Graham","Nathan","Dafydd","Alexander","Rebecca","Mark","Sam","Christopher"],"identifier":"035ee9f5-6abf-4f7f-b20b-3bdf951e8b97","incomingCitationCount":0,"keyword":["Environmental survey","peat","soil subsidence","water table","bog","fen"],"keywordsOther":["peat","soil subsidence","water table","bog","fen"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Peat surface motion was measured using 2 hourly image collection against a fixed point marker. A camera on a floating platform took pictures of a fixed point marker, and image analysis code converted these images into a time series of vertical motion. Water table depth was measured using a calibrated pressure sensor that had been laboratory calibrated at depths of 50, 100, 150 and 200 cm prior to installation. Soil temperature was measured at 10 cm depth.\nImages and data were processed daily and appended to master files by site number. Automated QA removed images that were of insufficient sharpness (due to precipitation or mist / fog), and updated step changes following site visits, and manual QA checks were carried out by project staff.\nPeriods of missing data could relate to a number of factors including: lack of mobile signal for telemetry of data (though these gaps were infilled where data was stored locally), battery failure, and flooding of instruments.\nManual QA detected where there were unusual data records (unusually high or low motion values) and these were checked against the original images to determine the correct value. One particular issue relates to the freeze-thaw action in the soil, which in a few cases dislodged the measurement platform leading to a step in the peat motion time series. These were manually corrected.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-11-05T13:32:24.000Z","orcid":["0000-0002-7824-0501","0000-0001-8216-5885","0000-0002-7750-6099"],"organisation":["UK Centre for Ecology & Hydrology","CSX Carbon","Natural England","NERC EDS Environmental Information Data Centre","Department for Environment Food and Rural Affairs"],"publicationDate":"2026-07-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/035ee9f5-6abf-4f7f-b20b-3bdf951e8b97","10.5285/035ee9f5-6abf-4f7f-b20b-3bdf951e8b97","doi:10.5285/035ee9f5-6abf-4f7f-b20b-3bdf951e8b97"],"resourceType":"Dataset","rightsHolder":["Department for Environment Food and Rural Affairs"],"ror":["https://ror.org/00pggkr55","https://ror.org/00r66pz14","https://ror.org/04xw4m193","https://ror.org/00tnppw48"],"shortenedDescription":"This dataset comprises daily peat surface level, water table depth, soil temperature and relative humidity. These data were collected as part of the England Peat Map project to quantify peat surface motion across the range of peat habitats across England. Instruments…","state":"published","temporalExtentText":"Data collected from 2022 to 2025","title":"Surface motion data from 51 peatland sites in England, 2022-2025","topic":["0/Environmental survey/"],"version":1.0,"view":["public","glenn"]},{"availability":"Unknown","catalogue":"eidc","description":"This is a series of datasets associated with the project 'Change at the Riparian Reactive Interface' (CARRI). Datasets characterise sites in Scotland and England in space and time, and partner organisation sites in Sweden (Krycklan research catchment) and Germany (Harz mountains), described from one-off sampling. The project sought to assess the stocks, reactivity of C, N and P in diverse riparian systems and the susceptibility to environmental change of these coupled macronutrient cycles. The datasets currently available include:\n- Soil characterisation data from UK riparian observatories and international observation sites, 2023-2024\n- Soil water table and river hydrology data from six UK riparian observatories, 2023-2025\n\nThe CARRI project was funded by NERC between 2022-26 and was a collaboration between The James Hutton Institute, Lancaster Environment centre at Lancaster University and international partners UFZ, Liepzig and SLU, Umea.","documentType":"GEMINI_DOCUMENT","identifier":"e7ef23cd-4d4b-417d-a2e0-038c7598be99","incomingCitationCount":0,"licence":"Non-Open government licence","metadataDate":"2026-05-07T11:00:47.000Z","publicationDate":"2026-03-19T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/e7ef23cd-4d4b-417d-a2e0-038c7598be99"],"resourceType":"Aggregation","shortenedDescription":"This is a series of datasets associated with the project 'Change at the Riparian Reactive Interface' (CARRI). Datasets characterise sites in Scotland and England in space and time, and partner organisation sites in Sweden (Krycklan research catchment) and Germany (Harz…","state":"published","title":"Riparian sites characterisation (UK and international) 2022-2025 data","version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Ecological Surveys Bangor"],"authorFamilyName":["Smart","Astbury","Burden","Emmett","Garbutt","Henrys","Maskell","Owen","Sharps","Wallace","Williams","Wood"],"authorFullName":["Smart, S.M.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Maskell, L.C.","Owen, A.","Sharps, K.","Wallace, H.","Williams, B.","Wood, C.M."],"authorGivenName":["S.M.","S.","A.","B.A.","P.A.","L.C.","A.  ","K.","H.","B.","C.M."],"authorOrcid":["0000-0003-2750-7832","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-4006-7755","0000-0003-3265-1505","0000-0002-0394-2998"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set includes records of plant species and abundance from within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).\n\nThe monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016.\n\nThe field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the UK Centre for Ecology & Hydrology.","documentType":"GEMINI_DOCUMENT","familyName":["Smart","Astbury","Burden","Emmett","Garbutt","Henrys","Maskell","Owen","Sharps","Wallace","Williams","Wood"],"fullName":["Smart, S.M.","Astbury, S.","Burden, A.","Emmett, B.A.","Garbutt, A.","Henrys, P.A.","Maskell, L.C.","Owen, A.","Sharps, K.","Wallace, H.","Williams, B.","Wood, C.M.","Smart, S."],"givenName":["S.M.","S.","A.","B.A.","P.A.","L.C.","A.  ","K.","H.","B.","C.M.","Simon"],"identifier":"71d3619c-4439-4c9e-84dc-3ca873d7f5cc","incomingCitationCount":2,"keyword":["Wales","Glastir Monitoring and Evaluation Programme","GMEP","agri-environment scheme"],"keywordsPlace":["Wales"],"keywordsProject":["Glastir Monitoring and Evaluation Programme","GMEP"],"keywordsTheme":["agri-environment scheme"],"licence":"Open government licence","lineage":"Within each of 300 x 1km sample squares across Wales, a set of vegetation plots of varying sizes were recorded by professional botanists, comprising covers of vascular plants.  Data were recorded on electronic recording devices, and then transferred to secure databases at the Centre for Ecology & Hydrology.\n\nTo ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.","locations":["POLYGON((-5.473 51.375, -5.473 53.434, -2.654 53.434, -2.654 51.375, -5.473 51.375))"],"metadataDate":"2026-07-25T06:51:27.000Z","orcid":["0000-0003-2750-7832","0000-0002-7694-1638","0000-0002-2713-4389","0000-0002-9145-9786","0000-0003-4758-1482","0000-0003-4006-7755","0000-0003-3265-1505","0000-0002-0394-2998"],"organisation":["UK Centre for Ecology & Hydrology","Ecological Surveys Bangor","NERC Environmental Information Data Centre","Welsh Government","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-02-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/71d3619c-4439-4c9e-84dc-3ca873d7f5cc","10.5285/71d3619c-4439-4c9e-84dc-3ca873d7f5cc","doi:10.5285/71d3619c-4439-4c9e-84dc-3ca873d7f5cc"],"resourceType":"Dataset","rightsHolder":["Welsh Government"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/000wh6t45"],"shortenedDescription":"This data set includes records of plant species and abundance from within a wide range of land use types across Wales, collected as part of the Glastir Monitoring and Evaluation Programme (GMEP).\n\nThe monitoring programme was set up by the Welsh Government in 2013 to…","state":"published","supplementalDescription":["Glastir Monitoring and Evaluation Programme (GMEP) website","Website for related survey - Environment & Rural Affairs Monitoring and Modelling Programme (ERAMMP)","Website for related national survey - Countryside Survey"],"supplementalName":["Project website","Countryside Survey"],"temporalExtentText":"Data collected from 2013 to 2016","title":"Vegetation plot data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016","version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Scottish Crop Research Institute","University of Aberdeen","Cranfield University"],"authorFamilyName":["Kuan","Fenwick","Glover","Griffiths"," Ritz"],"authorFullName":["Kuan, H.L.","Fenwick, C.","Glover, L.A.","Griffiths, B.S."," Ritz, K."],"authorGivenName":["H.L. ","C.","L.A. ","B.S.","K."],"authorRor":["https://ror.org/016476m91","https://ror.org/05cncd958"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data describes resilience in microbial communities in samples taken at the Sourhope experimental site in 2001 by the Scottish Crop Research Institute, the University of Aberdeen and Cranfield University.  Data were collected during a project funded under the NERC Soil Biodiversity Programme.\nThe NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630). During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).","documentType":"GEMINI_DOCUMENT","familyName":["Kuan","Fenwick","Glover","Griffiths"," Ritz","Sier"],"fullName":["Kuan, H.L.","Fenwick, C.","Glover, L.A.","Griffiths, B.S."," Ritz, K.","Sier, A."],"funder":["Natural Environment Research Council"],"givenName":["H.L. ","C.","L.A. ","B.S.","K.","Andy"],"identifier":"7af2f732-f8a5-4a87-bcc0-dae54323efd0","incomingCitationCount":0,"keyword":["Sourhope","Scottish borders","Biodiversity","Soil","Soil properties ","Respiration","Copper toxicity","Microbial community structure ","Denaturing gradient gel electrophoresis","DGGE","soil","copper","DNA","respiration"],"keywordsOther":["Soil properties ","Respiration","Copper toxicity","Microbial community structure ","Denaturing gradient gel electrophoresis","DGGE","soil","copper","DNA","respiration"],"keywordsPlace":["Sourhope","Scottish borders"],"keywordsTheme":["Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). Soil samples were collected by students and staff at the experimental site before being processed according to standard protocols, with the data then being transferred to the programme data manager at the Centre for Ecology & Hydrology.","locations":["POLYGON((-2.237 55.468, -2.237 55.475, -2.222 55.475, -2.222 55.468, -2.237 55.468))"],"metadataDate":"2026-07-25T06:56:34.000Z","organisation":["Scottish Crop Research Institute","University of Aberdeen","Cranfield University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7af2f732-f8a5-4a87-bcc0-dae54323efd0","10.5285/7af2f732-f8a5-4a87-bcc0-dae54323efd0","doi:10.5285/7af2f732-f8a5-4a87-bcc0-dae54323efd0"],"resourceType":"Dataset","ror":["https://ror.org/016476m91","https://ror.org/05cncd958","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data describes resilience in microbial communities in samples taken at the Sourhope experimental site in 2001 by the Scottish Crop Research Institute, the University of Aberdeen and Cranfield University.  Data were collected during a project funded under…","state":"published","supplementalDescription":["Kuan, H. L., Fenwick, C., Glover, L. A., Griffiths, B. S., & Ritz, K. (2006). Functional resilience of microbial communities from perturbed upland grassland soils to further persistent or transient stresses. Soil Biology and Biochemistry, 38(8), 2300-2306. https://doi.org/10.1016/j.soilbio.2006.02.013","Usher, M.B., Sier, A.R., Hornung, M. and Millard, P., 2006. Understanding biological diversity in soil: the UK's Soil Biodiversity Research Programme. Applied Soil Ecology, 33(2), pp.101-113. "],"supplementalName":[" ","Soil Biodiversity website "],"temporalExtentText":"Data collected from 2001 to 2001","title":"Soil microbial community resilience data from Sourhope field experiment site, Scotland, 2001 [NERC Soil Biodiversity Programme]","topic":["0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clamw"]},{"availability":"Unknown","catalogue":"eidc","description":"The 1 km summary pixel datasets represent the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises ten aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class.\n\nThe 1km percentage products provide the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. These products contain one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM products are available from the respective year's product documentation.","documentType":"GEMINI_DOCUMENT","identifier":"9f89445f-01b2-4711-80f2-a0e411d1a586","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Habitat","Biodiversity Action Plan","Map"],"keywordsOther":["Habitat","Biodiversity Action Plan","Map"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","metadataDate":"2026-03-02T09:43:07.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9f89445f-01b2-4711-80f2-a0e411d1a586"],"resourceType":"Aggregation","shortenedDescription":"The 1 km summary pixel datasets represent the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan…","state":"published","title":"Land Cover Map (1km summary rasters, GB and N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","matnic"]},{"authorAffiliation":["University of St Andrews","Cardiff University"],"authorFamilyName":["Evans","Dritschel","Singer"],"authorFullName":["Evans, C.M.","Dritschel, D.G.","Singer, M.B."],"authorGivenName":["C.M.","D.G.","M.B."],"authorOrcid":["0000-0001-8171-0706","0000-0001-6489-3395","0000-0002-6899-2224"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/03kk7td41"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset comprises mathematically modelled data of soil-water saturation, along vertical profiles, at 6 sites near the Namoi River, south-eastern Australia. The vertical profiles span the soil surface down to 10m deep, divided into 944 intervals. The 6 sites are located at different distances from the Namoi River and are split between 2 locations (Old Mollee and Yarral East). The distances from the river channel at each location are, Old Mollee: 50m, 140m and 320m, and Yarral East: 40m, 110m and 290m. The dataset underpins figures presented in Evans et al. (2018). The data were modelled as part of a PhD project funded by the Natural Environment Research Council and the National Trust.","documentType":"GEMINI_DOCUMENT","familyName":["Evans","Dritschel","Singer"],"fullName":["Evans, C.M.","Dritschel, D.G.","Singer, M.B."],"funder":["Natural Environment Research Council"],"givenName":["C.M.","D.G.","M.B."],"grant":["1358765"],"identifier":"5f2e06df-d141-4549-95b6-6a56300fc790","incomingCitationCount":1,"keyword":["Naomi River","Australia","Subsurface hydrology","mathematically modelled data","water saturation","riparian soil water"],"keywordsOther":["Subsurface hydrology","mathematically modelled data","water saturation","riparian soil water"],"keywordsPlace":["Naomi River","Australia"],"licence":"Open government licence","lineage":"Data have been produced using the HaughFlow model (Evans et al., 2018). HaughFlow is based on the 1D vertical Richards equation coupled with the 1D lateral Boussinesq equation and uses inputs of soil properties, river stage levels and climate parameters. Units of depth are in metres and water saturation is calculated as a proportion of the available pore spaces of the soil, producing values between 1 (100% saturated) and 0 (0% saturated), reported to 7 decimal figures. The Old Mollee 'Figure 6' datasets run from 01 July 2011 to 30 June 2015 and the Yarral East datasets run from 01 Jan 2013 to 30 June 2015. The Old Mollee 'Figure 7' dataset was modelled using alternative climate inputs and runs from 01 January 2004 to 31 December 2016.","locations":["POLYGON((141.064 -35.271, 141.064 -27.659, 154.248 -27.659, 154.248 -35.271, 141.064 -35.271))"],"metadataDate":"2026-11-05T13:39:24.000Z","orcid":["0000-0001-8171-0706","0000-0001-6489-3395","0000-0002-6899-2224"],"organisation":["University of St Andrews","Cardiff University","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-01-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5f2e06df-d141-4549-95b6-6a56300fc790","10.5285/5f2e06df-d141-4549-95b6-6a56300fc790","doi:10.5285/5f2e06df-d141-4549-95b6-6a56300fc790"],"resourceType":"Dataset","ror":["https://ror.org/02wn5qz54","https://ror.org/03kk7td41","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset comprises mathematically modelled data of soil-water saturation, along vertical profiles, at 6 sites near the Namoi River, south-eastern Australia. The vertical profiles span the soil surface down to 10m deep, divided into 944 intervals. The 6 sites are…","state":"published","title":"Mathematically modelled daily water saturation profiles for sites on the Namoi River floodplain in south-east Australia at different distances from the river","version":1.0,"view":["public","tinzha"]},{"availability":"Unknown","catalogue":"eidc","description":"This data series contains datasets collected as part of the Lakes and Arctic Carbon Cycle project and includes palaeolimnological data and nutrient chemistry data from lakes in Alaska, Greenland and Norway. The overall aim of the project was to understand the interactions between Arctic landscape ontogeny, aquatic biodiversity and biogeochemical cycling at the landscape scale over the Holocene. Regionally-replicated palaeo-records from three pan-Arctic locations (Alaska, Greenland, Norway) were selected to evaluate the effects of changing terrestrial plant functional type in lake catchments on aquatic biodiversity and carbon cycling, sequestration and export to lakes. Hon-kajak gravity cores were taken for the upper part of each sequence and Livingstone or Russian corers were used to obtain full Holocene sequences from lake sediments. Cores were analysed for x-ray fluorescence (XRF), loss-on-ignition (LOI), biogenic silica, stable carbon and nitrogen isotopes, pigments, pollen, diatoms, plant macrofossils, chironomids, and cladocerans. Sequences were dated using accelerator mass spectrometry (AMS) 14C at the Natural Environment Research Council (NERC) radiocarbon facility. The data were collected as part of the Lakes and Arctic Carbon project (NE/K000349/1), funded under NERC's Arctic Research Programme.","documentType":"GEMINI_DOCUMENT","familyName":["Whiteford"],"fullName":["Whiteford, E."],"givenName":["E."],"identifier":"1115ab47-3ccc-498c-8018-4682fa3a9bf0","incomingCitationCount":0,"licence":"Non-Open government licence","lineage":"As data were generated, checks were made to ensure values were above limits of detection. Calculations from any applied equations were checked for errors before data was accepted. Values were checked against data from previous samples taken at the same locations.","locations":["POLYGON((-180 66.4, -180 90, 180 90, 180 66.4, -180 66.4))"],"metadataDate":"2026-07-24T19:07:33.000Z","organisation":["University of Loughborough","NERC EDS Environmental Information Data Centre"],"publicationDate":"2016-04-22T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1115ab47-3ccc-498c-8018-4682fa3a9bf0"],"resourceType":"Aggregation","ror":["https://ror.org/04xw4m193"],"shortenedDescription":"This data series contains datasets collected as part of the Lakes and Arctic Carbon Cycle project and includes palaeolimnological data and nutrient chemistry data from lakes in Alaska, Greenland and Norway. The overall aim of the project was to understand the interactions…","state":"published","temporalExtentText":"Data collected from 2013 to 2014","title":"Data from the Lakes and Arctic Carbon Cycle (LAC) project","version":1.0,"view":["public","hajd"]},{"authorAffiliation":["University of Exeter","University of Cambridge","University of York","Center for Whale Research","Duke University","Animal and Plant Health Agency","Max Planck Institute for Evolutionary Anthropology","Institut des Sciences de l'Evolution de Montpellier","Leibniz Institute for Zoo and Wildlife Research","Swansea University"],"authorFamilyName":["Ellis","Johnstone","Cant","Franks","Weiss","Alberts","Benton","Brent","Crockford","Davidian","Delahay","Ellifrit","Honer","Meniri","McDonald","Thompson","Vigilant","Wittig","Croft","Nichols"],"authorFullName":["Ellis, S.","Johnstone, R.","Cant, M.A.","Franks, D.W.","Weiss, M.","Alberts, S.C.","Benton, C.H.","Brent, L.J.N.","Crockford, C.","Davidian, E.","Delahay, R.J.","Ellifrit, D.K.","Honer, O.P.","Meniri, M.","McDonald, R.","Thompson, F.","Vigilant, L.","Wittig, R.","Croft, D.P.","Nichols, H."],"authorGivenName":["Samuel","Rufus","Michael A.","Daniel W.","Michael","Susan C.","Claire H.","Lauren J.N.","Catherine","Eve","Richard J.","David K.","Oliver P.","Magali","Robbie","Faye","Linda","Roman","Darren P.","Hazel"],"authorRor":["https://ror.org/03yghzc09","https://ror.org/013meh722","https://ror.org/04m01e293","https://ror.org/03pesqc02","https://ror.org/00py81415","https://ror.org/0378g3743","https://ror.org/02a33b393","https://ror.org/01cah1n37","https://ror.org/05nywn832","https://ror.org/053fq8t95"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data in this dataset are derived from long-term, individual-based field studies of wild populations of four mammal species: banded mongoose (Mungos mungo), spotted hyena (Crocuta crocuta), chimpanzee (Pan troglodytes), and yellow baboon (Papio cynocephalus). The data contain demographic records (births, deaths, group membership), behavioural observations, and genetic parentage data to construct pedigrees and estimate local relatedness among group members. Across all four species, the data are structured as longitudinal, individual-level records (\"individual-years\"), and include; individual identity, sex, and age (z scored), group size by year and estimated local relatedness from pedigree.\n\nBanded mongooses were studied in Queen Elizabeth National Park, Uganda, as part of the Banded Mongoose Research Project. The dataset covers the period 2000-2019 and includes a population of approximately 197-326 individuals living in 6-13 social groups per year. Individuals are uniquely marked and observed frequently (every 1-4 days), resulting in highly resolved life-history data including dates of birth and death, group membership, and reproductive events. Parentage is assigned using genetic data for the majority of individuals.\n\nSpotted hyena data were collected from eight clans in the Ngorongoro Crater, Tanzania, as part of the Ngorongoro Hyena Project (since 1996). Individuals are identified by unique spot patterns and monitored through near-daily observations. The dataset includes demographic and life-history information (age estimates, dispersal, survival) alongside genetic parentage assignments derived from microsatellite data. Clan sizes vary over time (mean c. 24-43 individuals).\n\nChimpanzee data derive from long-term studies of the North and South communities in Taï National Park, Côte d'Ivoire, conducted by the Taï Chimpanzee Project. Continuous behavioural and demographic observation has been conducted since 1985 (North) and 1997 (South). Group membership, births, deaths, and dispersal are inferred from direct observation, with maternity assigned behaviourally and confirmed genetically, and paternity inferred genetically. Group sizes range from approximately 10-42 adults.\n\nYellow baboon data come from the Amboseli Baboon Research Project in Amboseli National Park, Kenya, with data used here spanning from 1988 onwards. The study includes multiple social groups (mean ~5 per year) with group sizes ranging from 14 to 130 individuals. Individuals are monitored on a near-daily basis, with detailed records of births, deaths, dispersal, and group composition. Parentage is determined using long-term field observations and genetic analyses (microsatellite data).","documentType":"GEMINI_DOCUMENT","familyName":["Ellis","Johnstone","Cant","Franks","Weiss","Alberts","Benton","Brent","Crockford","Davidian","Delahay","Ellifrit","Honer","Meniri","McDonald","Thompson","Vigilant","Wittig","Croft","Nichols"],"fullName":["Ellis, S.","Johnstone, R.","Cant, M.A.","Franks, D.W.","Weiss, M.","Alberts, S.C.","Benton, C.H.","Brent, L.J.N.","Crockford, C.","Davidian, E.","Delahay, R.J.","Ellifrit, D.K.","Honer, O.P.","Meniri, M.","McDonald, R.","Thompson, F.","Vigilant, L.","Wittig, R.","Croft, D.P.","Nichols, H.","Samuel Ellis"],"funder":["Natural Environment Research Council"],"givenName":["Samuel","Rufus","Michael A.","Daniel W.","Michael","Susan C.","Claire H.","Lauren J.N.","Catherine","Eve","Richard J.","David K.","Oliver P.","Magali","Robbie","Faye","Linda","Roman","Darren P.","Hazel"],"grant":["NE/S010327/1"],"identifier":"034802f9-c8bd-4fcf-aee5-97ea2478cf99","incomingCitationCount":0,"keyword":["Animal behaviour","kinship dynamics","relatedness","animal behaviour"],"keywordsOther":["kinship dynamics","relatedness","animal behaviour"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"This dataset was derived from long-term individual-based studies of four wild mammal populations. In each system, raw data consist of longitudinal demographic and behavioural observations, combined with genetic sampling used to infer parentage.\n\nField data collection involved repeated observations of individually identified animals within stable social groups. Across all study systems, individuals were uniquely identified using natural markings or artificial tags, allowing continuous tracking of life histories including birth (or estimated birth), death or disappearance, dispersal, and group membership. Observation intensity was high (typically near-daily or at least regular censuses), enabling reconstruction of annual group composition and individual life histories.\n\nGenetic data (primarily microsatellite markers) were used, where available, to assign maternity and paternity. These genetic parentage assignments were integrated with observational records to construct multi-generational pedigrees for each population. In cases where genetic or observational data were incomplete (e.g. early-life mortality or immigrant individuals), parentage or age was estimated using established field-based criteria.\n\nFrom these integrated demographic and pedigree data, annual datasets were constructed for each population. For each individual and year (\"individual-year\"), the following variables were derived: age (standardised), sex, group size, and estimated relatedness. Using these pedigrees, local relatedness was calculated between each individual to other members of their social group.\n\nTo enable comparative analyses across species, datasets were harmonised into a common structure with consistent variable definitions and temporal resolution (annual time steps). Age was standardised relative to age at maturity for modelling purposes, and records with insufficient information (e.g. unknown sex, age, or insufficient pedigree data) were excluded from downstream analyses.\n\nThe final dataset therefore represent processed, standardised, individual-level longitudinal data linking life-history, social structure, and genetic relatedness across four species, suitable for comparative analysis of age-related changes in local kin structure.","locations":["POLYGON((-17.411 -14.493, -17.411 15.056, 45.376 15.056, 45.376 -14.493, -17.411 -14.493))"],"metadataDate":"2026-11-05T13:25:54.000Z","organisation":["University of Exeter","University of Cambridge","University of York","Center for Whale Research","Duke University","Animal and Plant Health Agency","Max Planck Institute for Evolutionary Anthropology","Institut des Sciences de l'Evolution de Montpellier","Leibniz Institute for Zoo and Wildlife Research","Swansea University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-10-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/034802f9-c8bd-4fcf-aee5-97ea2478cf99","10.5285/034802f9-c8bd-4fcf-aee5-97ea2478cf99","doi:10.5285/034802f9-c8bd-4fcf-aee5-97ea2478cf99"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/03yghzc09","https://ror.org/013meh722","https://ror.org/04m01e293","https://ror.org/03pesqc02","https://ror.org/00py81415","https://ror.org/0378g3743","https://ror.org/02a33b393","https://ror.org/01cah1n37","https://ror.org/05nywn832","https://ror.org/053fq8t95","https://ror.org/04xw4m193"],"shortenedDescription":"The data in this dataset are derived from long-term, individual-based field studies of wild populations of four mammal species: banded mongoose (Mungos mungo), spotted hyena (Crocuta crocuta), chimpanzee (Pan troglodytes), and yellow baboon (Papio cynocephalus). The…","state":"published","temporalExtentText":"Data collected from 2000 to 2019","title":"Kinship dynamics data for banded mongoose, spotted hyena, chimpanzee and yellow baboons","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["Asian Institute of Technology","University of Exeter"],"authorFamilyName":["Khadka","Abatan","Babel","Collins","Djordjevic"],"authorFullName":["Khadka, D.","Abatan, A.A.","Babel, M.S.","Collins, M.","Djordjevic, S."],"authorGivenName":["D.","A.A.","M.S. ","M.","S."],"authorOrcid":["0000-0002-5703-5306","0000-0003-2330-3322","0000-0003-4203-0059","0000-0003-3785-6008","0000-0003-1682-1383"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides the projections of meteorological, hydrological, and agricultural droughts for the near-future period (2021-2050) for the Mun River basin, in Northeast Thailand. Near future drought characteristics (duration, intensity, and severity) are projected for climate change (CC) scenario using 8 CMIP6 climate models (CNRM-CM6-1, CNRM-CM6-1-HR, EC-Earth3P, EC-Earth3P-HR, HadGEM3-GC31-HH, HadGEM3-GC31-HM, HadGEM3-GC31-MM, HadGEM3-GC31-LL) for SSP5-8.5 scenario. ","documentType":"GEMINI_DOCUMENT","familyName":["Khadka","Abatan","Babel","Collins","Djordjevic"],"fullName":["Khadka, D.","Abatan, A.A.","Babel, M.S.","Collins, M.","Djordjevic, S."],"funder":["Natural Environment Research Council"],"givenName":["D.","A.A.","M.S. ","M.","S."],"grant":["NE/S002901/1"],"identifier":"b11c040d-c3c0-43c5-a7c0-442b067dc526","incomingCitationCount":0,"keyword":["Thailand","climate model","bias correction","Southeast Asia","drought","climate change"],"keywordsOther":["climate model","bias correction","Southeast Asia","drought","climate change"],"keywordsPlace":["Thailand"],"licence":"Open government licence","lineage":"The raw climate data were accessed from the \"Earth System Grid Federation (ESGF)\" portal in December 2020. Climate data were re-gridded to 0.25 degrees using bilinear interpolation. Climate data has been bias-corrected using the Quantile mapping method with reference to 1981-2010 period observations. Bias correction of rainfall data is carried out using empirical distribution, which avoids assumptions about distribution fitting and corrects rainfall intensity and frequency. This method is more effective in reducing biases than using a theoretical distribution. For future rainfall values larger than those during the reference period, a correction factor for the highest quantile is used. Bias correction of temperature is carried out by fitting in a normal distribution.","locations":["POLYGON((101.3 14, 101.3 16, 105.3 16, 105.3 14, 101.3 14))"],"metadataDate":"2026-11-05T13:36:54.000Z","orcid":["0000-0002-5703-5306","0000-0003-2330-3322","0000-0003-4203-0059","0000-0003-3785-6008","0000-0003-1682-1383"],"organisation":["Asian Institute of Technology","University of Exeter","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-03-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b11c040d-c3c0-43c5-a7c0-442b067dc526","10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526","doi:10.5285/b11c040d-c3c0-43c5-a7c0-442b067dc526"],"resourceType":"Dataset","rightsHolder":["University of Exeter"],"ror":["https://ror.org/04xw4m193","https://ror.org/03yghzc09"],"shortenedDescription":"This dataset provides the projections of meteorological, hydrological, and agricultural droughts for the near-future period (2021-2050) for the Mun River basin, in Northeast Thailand. Near future drought characteristics (duration, intensity, and severity) are projected…","state":"published","temporalExtentText":"Data collected from 2021 to 2050","title":"Climate change projections and drought assessments for the Mun River basin, northeast Thailand 2021-2050","version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Robinson"],"authorFullName":["Robinson, S.J."],"authorGivenName":["S. J. "],"authorOrcid":["0000-0002-7365-8423"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The database of chemical composition of Central Asian forage plants contains just under 1000 desert and steppe species with information such as Latin and Russian names and family and related records of chemical composition from various sources including percentages by weight of protein, ash, cellulose and fat. Where available, it also includes data on digestible protein content, metabolisable energy and Soviet Feed Units (SFU). Records also include information on the country, location, season or month and phenological phase at time of collection of each sample.  As one of the original uses of the database was for modelling food and energy intake by the saiga antelope, it also includes information identifying saiga food plant species along with sources of this information. Data on the edibility of many species for livestock in different seasons are also available. See the detailed documentation available here for more information on the data types, definitions and sources.\n\nNB The database is in text format and must be imported e.g. into relational database software, as Unicode (UTF-8) in order to convert the Cyrillic characters in Russian names.","documentType":"GEMINI_DOCUMENT","familyName":["Robinson"],"fullName":["Robinson, S.J.","Robinson, S."],"givenName":["S. J. ","Sarah"],"identifier":"6a5a9a2a-730b-49f7-9e42-2295040aee56","incomingCitationCount":0,"keyword":["Kazakhstan","Central Asia","forage"],"keywordsOther":["forage"],"keywordsPlace":["Kazakhstan","Central Asia"],"licence":"Open government licence","lineage":"The data come from a number of Soviet era sources listing thousands of records of plant chemical composition, and from an additional number of secondary or field sources compiled since 1991. All sources are listed in the database, which holds only a fraction of the total information available.   \nSee documentation for more details.","locations":["POLYGON((45 35, 45 56, 90 56, 90 35, 45 35))"],"metadataDate":"2026-09-15T08:46:18.000Z","orcid":["0000-0002-7365-8423"],"organisation":["University of Oxford","Oxford University, visiting researcher","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6a5a9a2a-730b-49f7-9e42-2295040aee56","10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56","doi:10.5285/6a5a9a2a-730b-49f7-9e42-2295040aee56"],"resourceType":"Dataset","ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The database of chemical composition of Central Asian forage plants contains just under 1000 desert and steppe species with information such as Latin and Russian names and family and related records of chemical composition from various sources including percentages…","state":"published","title":"Chemical composition of Central Asian forage plants","version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Bentley","Brentegani","Tandy","Ebuele","Deacon","Fitos","Patton","Garbutt","Williams","Wood","Lebron","Robinson","Smart","Maskell","Keith","O'Neil","Henrys","Andrews","Campbell","Doyle","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Vallis-Wilks","Wagner"],"authorFullName":["Bentley, L.","Brentegani, M.","Tandy, S.","Ebuele, V.","Deacon, A.","Fitos, E.","Patton, J.","Garbutt, A.","Williams, G.","Wood, C.","Lebron, I.","Robinson, D.","Smart, S.","Maskell, L.","Keith, A.","O'Neil, A.","Henrys, P.","Andrews, C.","Campbell, K.","Doyle, S.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Vallis-Wilks, M.","Wagner, M."],"authorGivenName":["L.","M.","S.","V.","A.","E","J.","A","G.","C.","I.","D.","L","P.","K.","D.W."],"authorOrcid":["0000-0001-5055-7673","0000-0002-9145-9786","0000-0002-0394-2998","0000-0001-8610-9717","0000-0003-2750-7832","0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024 is the first year of a new monitoring cycle. The properties included are: pH, soil organic matter (loss on ignition, LOI), derived carbon concentration and carbon stock (soil organic carbon, SOC), soil group, soil bulk density of fine earth, soil moisture of wet soil, fine earth volumetric water content (dry), nitrogen concentration and stock, and Olsen-phosphorus concentration. These samples are co-located with a botanical survey as part of the integrated monitoring approach, which is also available on the EIDC. \n\nThe UKCEH Countryside Survey is a unique study or 'audit' of the natural resources of the UK's countryside. The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB.  Previous monitoring cycles have been carried out in 1978, 1984, 1990, 1998, 2007and 2019-2023 by the UK Centre for Ecology & Hydrology (UKCEH) and predecessors, with repeated visits to most of the squares each monitoring cycle. The countryside is sampled and surveyed using rigorous scientific methods, allowing us to compare new results with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the UK's countryside over time. In addition to soil data, vegetation species data are also gathered by the current phase of the UKCEH Countryside Survey.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and through the UKCEH National Capability for UK Challenges Programme NE/Y006208/1.","documentType":"GEMINI_DOCUMENT","familyName":["Bentley","Brentegani","Tandy","Ebuele","Deacon","Fitos","Patton","Garbutt","Williams","Wood","Lebron","Robinson","Smart","Maskell","Keith","O'Neil","Henrys","Andrews","Campbell","Doyle","Gray","Hancock","Highfield","Nemeth","Pallett","Scarlett","Vallis-Wilks","Wagner"],"fullName":["Bentley, L.","Brentegani, M.","Tandy, S.","Ebuele, V.","Deacon, A.","Fitos, E.","Patton, J.","Garbutt, A.","Williams, G.","Wood, C.","Lebron, I.","Robinson, D.","Smart, S.","Maskell, L.","Keith, A.","O'Neil, A.","Henrys, P.","Andrews, C.","Campbell, K.","Doyle, S.","Gray, A.","Hancock, G.","Highfield, C.","Nemeth, K.","Pallett, D.W.","Scarlett, P.","Vallis-Wilks, M.","Wagner, M."],"funder":["Natural Environment Research Council"],"givenName":["L.","M.","S.","V.","A.","E","J.","A","G.","C.","I.","D.","L","P.","K.","D.W."],"grant":["NE/Y006208/1"],"identifier":"cab9f36c-075e-4359-8781-24a8488641c3","incomingCitationCount":0,"keyword":["Great Britain","Soil","Environmental survey","bulk density","carbon stock","monitoring","national monitoring","nitrogen","nutrient","pH","soil","soil condition","soil quality"],"keywordsOther":["bulk density","carbon stock","monitoring","national monitoring","nitrogen","nutrient","pH","soil","soil condition","soil quality"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Soil","Environmental survey"],"licence":"Open government licence","lineage":"Within each of 105 x 1km sample squares, a set of soil samples were taken from up to 5 pre-determined randomly dispersed locations (where practically possible). In addition and where practically possible (and for the first time in the Countryside Survey), up to three additional soil samples were taken per 1km square, associated with linear features in proximity to one of the randomly dispersed sampling locations. These linear feature soil samples were taken from a plot associated with a hedgerow, a streamside and a boundary (maximum of one sample per plot type per square).  The soil samples analysed for soil metrics were taken using a 15 cm long soil core, from a location co-incident with vegetation surveys. \n\nAfter collection, the soil cores were refrigerated and stored until posted, usually within a couple of days, to laboratories at the UK Centre for Ecology & Hydrology (UKCEH), Bangor and Lancaster. Analysed data were transferred to secure databases at UKCEH following sample analysis.\n\nTwo additional 15cm soil cores were taken from each randomly dispersed plot and stored in the UKCEH soil bank, available for further use, along with any remaining material from soil cores used in analysis. \n\nFor additional information, see the attached meta-data.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-11-05T14:39:46.000Z","orcid":["0000-0001-5055-7673","0000-0002-9145-9786","0000-0002-0394-2998","0000-0001-8610-9717","0000-0003-2750-7832","0000-0003-4006-7755"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-12-15T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cab9f36c-075e-4359-8781-24a8488641c3","10.5285/cab9f36c-075e-4359-8781-24a8488641c3","doi:10.5285/cab9f36c-075e-4359-8781-24a8488641c3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of measures of topsoil (0-15 cm) physico-chemical properties from soils sampled from 105 x 1-km squares across Great Britain in 2024 as part of a rolling soil and vegetation monitoring program of 500 1-km squares repeated every 5 years, where 2024…","state":"published","temporalExtentText":"Data collected from 2024 to 2024","title":"Topsoil physico-chemical properties from the UKCEH Countryside Survey, Great Britain, 2024","topic":["0/Soil/","0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["Grupo Ecología de la Polinización (National University of Comahue - CONICET)","Laboratorio Ecotono, INIBIOMA (National University of Comahue - CONICET)","National Scientific and Technical Research Council & INIBIOMA (National University of Comahue - CONICET)","Universidad Mayor","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morales","Arbetman","Zattara","Ibarra","Woodcock"],"authorFullName":["Morales, C.L.","Arbetman, M.P.","Zattara, E.E.","Ibarra, M.M.","Woodcock, B.A."],"authorGivenName":["C.L.","M.P.","E.E.","M.M.","B.A."],"authorOrcid":["0000-0002-9989-5347","0000-0002-8382-2522","0000-0002-9947-9036","0000-0002-8777-9445","0000-0003-0300-9951"],"authorRor":["https://ror.org/02zvkba47","https://ror.org/00pn44t17","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource contains counts of bumblebee abundance between December 2019 and March 2020 along a latitudinal gradient within Argentina and Chile. Sampling of both invasive (Bombus terrestris and B. ruderatus) and native (B. dahlbomii) bumblebee species was undertaken using standardised transect walks along a latitudinal gradient from -54.871 to -29.906 from 145 individual locations.  ","documentType":"GEMINI_DOCUMENT","familyName":["Morales","Arbetman","Zattara","Ibarra","Woodcock"],"fullName":["Morales, C.L.","Arbetman, M.P.","Zattara, E.E.","Ibarra, M.M.","Woodcock, B.A."],"funder":["Natural Environment Research Council","CONICET","Sao Paulo Research Foundation"],"givenName":["C.L.","M.P.","E.E.","M.M.","B.A."],"grant":["NE/S011870/2","RD 1984/19","2018/14994-1"],"identifier":"1797a623-e582-4c0c-bc67-cd9de04e0df0","incomingCitationCount":0,"keyword":["Locus Map","Chile","Argentina","Latin America","Latitudinal gradient","SURPASS2","Animal behaviour","bee","Bombus terrestris","Bombus ruderatus","Bombus dahlbomii","invasive alien species"],"keywordsInstrument":["Locus Map"],"keywordsOther":["bee","Bombus terrestris","Bombus ruderatus","Bombus dahlbomii","invasive alien species"],"keywordsPlace":["Chile","Argentina","Latin America","Latitudinal gradient"],"keywordsProject":["SURPASS2"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Fieldworkers recorded a count of the abundance of bumblebee species observed during a transect trail walk.  The length of the walk varied on a site-by-site basis depending on local conditions and site size, however, the length of the transect and the time taken to walk it were recorded. Bumblebees were identified in the field by trained individuals to the level of species, but explicitly focusing on Bombus terrestris, B. ruderatus and the native species B. dahlbomii.  Collection of individuals for identification is not typically needed but was undertaken where required allowing for subsequent lab-based confirmation. Bee abundance is summed across the transects for each species and each sampling date for a site.  \nSite location (Latitude and Longitude) as well as the length of the walked transect was determined using the smart phone app Locus Map (https://www.locusmap.eu/) while the duration of the transect walk was timed on a stopwatch.  \nAll field workers were either experts with a long track record of bumblebee identification or underwent extensive training.  In contrast to bumblebee assemblages in other parts of the world, which are typically more diverse and contain potentially more cryptic species, those monitored in Argentina and Chile are species poor reducing the potential for errors. Questionable specimens were collected for subsequent identification under laboratory conditions. Data was collected in the field using pre-prepared data sheets. Data sheets were checked both visually and following data entry into digital format by confirming where outlier abundances (>2SD from mean) were found that these were consistent with raw field data sheets. Individuals performing each sampling transect were recorded, allowing the potential for retrospective exclusion of data points if required. ","locations":["POLYGON((-73.415 -54.871, -73.415 -29.906, -55.62 -29.906, -55.62 -54.871, -73.415 -54.871))"],"metadataDate":"2026-11-05T13:32:08.000Z","orcid":["0000-0002-9989-5347","0000-0002-8382-2522","0000-0002-9947-9036","0000-0002-8777-9445","0000-0003-0300-9951"],"organisation":["Grupo Ecología de la Polinización (National University of Comahue - CONICET)","Laboratorio Ecotono, INIBIOMA (National University of Comahue - CONICET)","National Scientific and Technical Research Council & INIBIOMA (National University of Comahue - CONICET)","Universidad Mayor","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","National University of Comahue"],"publicationDate":"2024-04-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/1797a623-e582-4c0c-bc67-cd9de04e0df0","10.5285/1797a623-e582-4c0c-bc67-cd9de04e0df0","doi:10.5285/1797a623-e582-4c0c-bc67-cd9de04e0df0"],"resourceType":"Dataset","rightsHolder":["National University of Comahue"],"ror":["https://ror.org/02zvkba47","https://ror.org/00pn44t17","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data resource contains counts of bumblebee abundance between December 2019 and March 2020 along a latitudinal gradient within Argentina and Chile. Sampling of both invasive (Bombus terrestris and B. ruderatus) and native (B. dahlbomii) bumblebee species was undertaken…","state":"published","temporalExtentText":"Data collected from 2019 to 2020","title":"Invasive and native bumblebee abundance along a latitudinal gradient within Argentina and Chile, 2019-2020","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","shofer"]}],"rows":20,"semanticEnabled":false,"url":"https://catalogue.ceh.ac.uk/eidc/documents"}