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Data were collected by the Smithsonian Tropical Research Institute and Princeton University and were analysed by the University of Leeds.\n\nThis work was funded by the following organisations: Heising-Simons Foundation, Hoch Family, ForestGEO®, HSBC, Stanley Motta, Small World Institute Fund, Smithsonian Institution's Competitive Grants for Science, Smithsonian Institution's Grand Challenges, National Science Foundation (award reference: EAR-1360391), National University of Singapore, Smithsonian Tropical Research Institute, Yale-NUS college, Princeton University, Princeton Environmental Institute, Princeton Carbon Mitigation Initiative, University of Leeds and NERC (award reference: NE/M019497/1)","documentType":"GEMINI_DOCUMENT","familyName":["Batterman","Hall","Turner","Hedin","LaHaela Walter","Sheldon","van Breugel"],"fullName":["Batterman, S.","Batterman, S.A.","Hall, J.S.","Turner, B.","Hedin, L.O.","LaHaela Walter, J.K.","Sheldon, P.","van Breugel, M."],"funder":["Natural Environment Research Council"],"givenName":["Sarah","S.A.","J.S.","B.","L.O.","J.K.","P.","M."],"grant":["NE/M019497/1"],"identifier":"3578bae2-4b88-4b2e-93e1-6965dfe1348c","incomingCitationCount":1,"keyword":["El Giral","Panama","biogeochemical niche","nutrient acquisition","nutrient limitation","nutrient stategy","phosphatase activity","species-specific differences","symbiotic nitrogen fixation","tropical carbon sink","nitrogen","carbon","phosphorus","biodiversity","biogeochemistry","nutrient","nitrogen fixation"],"keywordsOther":["biogeochemical niche","nutrient acquisition","nutrient limitation","nutrient stategy","phosphatase activity","species-specific differences","symbiotic nitrogen fixation","tropical carbon sink","nitrogen","carbon","phosphorus","biodiversity","biogeochemistry","nutrient","nitrogen fixation"],"keywordsPlace":["El Giral","Panama"],"licence":"Open government licence","lineage":"The dataset includes the original values for all variables except nitrogen fixation and phosphatase activity, which represent the mean across replicates within a tree (three replicates for fixation rate, five replicates for phosphatase activity). 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Data were expressed as nodule biomass, nitrogen fixation rate converted to grams nitrogen fixed per area of rooting zone of the focal tree.","locations":["POLYGON((-79.747 9.205, -79.747 9.231, -79.71 9.231, -79.71 9.205, -79.747 9.205))"],"metadataDate":"2026-06-29T18:07:17.000Z","orcid":["https://orcid.org/0000-0002-7703-9873","https://orcid.org/0000-0003-4761-9268","https://orcid.org/0000-0002-6585-0722","https://orcid.org/0000-0003-2778-7803"],"organisation":["University of Leeds","Smithsonian Tropical Research Institute","Princeton University","University of Freiburg","Yale-NUS College, National University of Singapore","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-07-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3578bae2-4b88-4b2e-93e1-6965dfe1348c","10.5285/3578bae2-4b88-4b2e-93e1-6965dfe1348c","doi:10.5285/3578bae2-4b88-4b2e-93e1-6965dfe1348c"],"resourceType":"Dataset","ror":["https://ror.org/024mrxd33","https://ror.org/035jbxr46","https://ror.org/00hx57361","https://ror.org/0245cg223","https://ror.org/04xw4m193"],"shortenedDescription":"This data includes information about nitrogen fixation, phosphatase activity, plant nitrogen and phosphorus demand and soil nitrogen and phosphorus availability of nitrogen-fixing and non-fixing trees from seven species grown in an experimental plantation at the Agua…","state":"published","title":"Nitrogen fixation and phosphatase activity of 97 nitrogen-fixing and non-fixing trees in Panama","version":1.0,"view":["public","kath"]},{"authorAffiliation":["University of St Andrews","UK Centre for Ecology & Hydrology"],"authorFamilyName":["Miller","Smeaton","Garbutt","Austin"],"authorFullName":["Miller, L.C.","Smeaton, C.","Garbutt, A.","Austin, W.E.N."],"authorGivenName":["L.C.","C.","A.","W.E.N."],"authorOrcid":["https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-6544-3468"],"authorRor":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history. The data provide a quantitative measure of belowground (root) biomass, organic carbon content and belowground (root) carbon. Samples were collected using a wide gauge gouge corer. The samples were processed to determine belowground (root) biomass, the organic carbon was quantified through elemental analysis and these two data sets were combined to calculate the belowground (root) carbon content. The data were collected to help create a detailed picture of saltmarsh carbon storage in surficial soils across Scotland.\n\nThe work was carried out under the NERC programme - Carbon Storage in Intertidal Environment (C-SIDE), NERC grant reference NE/R010846/1","documentType":"GEMINI_DOCUMENT","familyName":["Smeaton","Miller","Garbutt","Austin"],"fullName":["Smeaton, C.","Miller, L.C.","Garbutt, A.","Austin, W.E.N."],"funder":["Natural Environment Research Council"],"givenName":["C.","L.C.","A.","W.E.N."],"grant":["NE/R010846/1"],"identifier":"032627e0-5780-4601-b9b3-e684403cee70","incomingCitationCount":0,"keyword":["Scotland","United Kingdom","C-SIDE","soil","sediment","biomass","carbon","organic carbon","organic matter","salt marsh","root","coastal","wetland","blue carbon"],"keywordsOther":["C-SIDE","soil","sediment","biomass","carbon","organic carbon","organic matter","salt marsh","root","coastal","wetland","blue carbon"],"keywordsPlace":["Scotland","United Kingdom"],"licence":"Open government licence","lineage":"Soil cores were taken at each sampling location using a wide diameter gouge corer. The location of the sample was recorded using GPS. Prior to analysis the samples were stored at 4 degrees Celsius at the University of St Andrews. Belowground (root) biomass, organic carbon content and belowground (root) carbon data was produced using standard analytical procedures (detailed in the supporting documentation). All laboratory equipment were calibrated in accordance with the laboratory practises at the University of St Andrews. Results were recorded on to lab sheets and transferred into an Excel file. Results were exported as comma separated value (.csv) files for ingestion into the EIDC.","locations":["POLYGON((-7.09 55.74, -7.09 58.99, -0.46 58.99, -0.46 55.74, -7.09 55.74))"],"metadataDate":"2026-06-29T16:51:55.000Z","orcid":["https://orcid.org/0000-0003-4535-2555","https://orcid.org/0000-0003-2876-4312","https://orcid.org/0000-0002-9145-9786","https://orcid.org/0000-0001-6544-3468"],"organisation":["University of St Andrews","UK Centre for Ecology & Hydrology","The University Court of the University of St Andrews","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-02-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/032627e0-5780-4601-b9b3-e684403cee70","10.5285/032627e0-5780-4601-b9b3-e684403cee70","doi:10.5285/032627e0-5780-4601-b9b3-e684403cee70"],"resourceType":"Dataset","rightsHolder":["The University Court of the University of St Andrews"],"ror":["https://ror.org/02wn5qz54","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset comprises of physical and biogeochemical measurements of belowground (root) biomass from across four Scottish saltmarshes. Sites were chosen to represent contrasting habitats types in Scotland, in particular sediment types, vegetation and sea level history.…","state":"published","supplementalName":["C-SIDE website"],"title":"Physical and biogeochemical measurements of belowground biomass and carbon content from Scottish salt marshes, 2021","version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Taylor","Rennie"],"authorFullName":["Taylor, K.","Rennie, S."],"authorGivenName":["K.","S."],"authorOrcid":["https://orcid.org/0000-0002-0027-0436"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data contain solar radiation, air temperature, temperature depression, wind velocity, wind direction and rainfall from Automatic Weather Stations (AWS) located at Moor House and Helbeck, Cumbria, UK. This data contain a mixture of hourly and daily readings. The data were collected between July 1974 and February 1987 at Moor House and between May 1974 and October 1983 at Helbeck.","documentType":"GEMINI_DOCUMENT","familyName":["Rennie","Taylor"],"fullName":["Rennie, S.","Taylor, K."],"givenName":["Sue","K.","S."],"identifier":"77df4b96-c5e4-419a-b7cf-fc1d9a05c61c","incomingCitationCount":0,"keyword":["United Kingdom","Cumbria","Moor House","Helbeck","solar radiation","air temperature","temperature depression","wind velocity","wind direction","rainfall "],"keywordsOther":["solar radiation","air temperature","temperature depression","wind velocity","wind direction","rainfall "],"keywordsPlace":["United Kingdom","Cumbria","Moor House","Helbeck"],"licence":"Open government licence","lineage":"These data were collected by Ken Taylor and stored in a database at the Centre for Ecology & Hydrology [as described in: Cuthbertson, M. (1993) - see supplemental information for reference]. This is a historic dataset so quality assurance procedures for the data are unknown.","locations":["POLYGON((-2.505 54.524, -2.505 54.769, -2.068 54.769, -2.068 54.524, -2.505 54.524))"],"metadataDate":"2026-06-29T17:04:52.000Z","orcid":["https://orcid.org/0000-0002-0027-0436"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2018-02-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c","10.5285/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c","doi:10.5285/77df4b96-c5e4-419a-b7cf-fc1d9a05c61c"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The data contain solar radiation, air temperature, temperature depression, wind velocity, wind direction and rainfall from Automatic Weather Stations (AWS) located at Moor House and Helbeck, Cumbria, UK. This data contain a mixture of hourly and daily readings. The…","state":"published","supplementalDescription":["Cuthbertson, M., 1993. A database for environmental research programmes. Journal of Environmental Management, 37(4), pp.291-300."],"title":"Automatic weather station recordings from Moor House and Helbeck 1974-1987","version":1.0,"view":["public","phtr"]},{"authorAffiliation":["National University of Santiago Antunez Mayolo","Centro de Ornitología y Biodiversidad (CORBIDI)","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Northumbria University","University of Leeds"],"authorFamilyName":["Palacios","Medina","Loarte","Castañeda","Gamboa","Polo","Tapia","Pellicciotti","Brown"],"authorFullName":["Palacios, E.","Medina, K.","Loarte, E.","Castañeda, A.","Gamboa, M.","Polo, R.","Tapia, P.","Pellicciotti, F.","Brown, L."],"authorGivenName":["E.","K.","A.","M.","R.","P.","F.","L."],"authorOrcid":["https://orcid.org/0000-0001-5295-3901","https://orcid.org/0000-0002-2910-6808","https://orcid.org/0000-0003-3123-1904","https://orcid.org/0000-0001-9230-2177","https://orcid.org/0000-0003-2316-123X","https://orcid.org/0000-0001-5065-7770","https://orcid.org/0000-0002-0708-4468","https://orcid.org/0000-0002-5554-8087","https://orcid.org/0000-0002-2420-0088"],"authorRor":["https://ror.org/03w7bgm07","https://ror.org/03a5ms192","https://ror.org/01ff0t864","https://ror.org/049e6bc10","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset includes taxonomic and abundance data at the of benthic macroinvertebrates in ten rivers within the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. \n\nThis data was created to analyse the response of aquatic biodiversity to glacial retreat, studying rivers in a gradient of glacial coverage.\n\nThe sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020.\n\nThe study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú","documentType":"GEMINI_DOCUMENT","familyName":["Palacios","Medina","Loarte","Castañeda","Gamboa","Polo","Tapia","Pellicciotti","Brown"],"fullName":["Palacios, E.","Medina, K.","Loarte, E.","Castañeda, A.","Gamboa, M.","Polo, R.","Tapia, P.","Pellicciotti, F.","Brown, L."],"funder":["Natural Environment Research Council","Newton-Paulet Fund","Fondo Nacional de Desarrollo Científico y Tecnológico"],"givenName":["E.","K.","A.","M.","R.","P.","F.","L."],"identifier":"db604b78-c616-471b-9028-2d0826a6f50c","incomingCitationCount":0,"keyword":["Cordilera Blanca","Biodiversity","glacier rivers","abundance","benthic macroinvertebrate","Austrelmis sp.","Scirtidae sp.","Paraheptagya sp.","Parochlus sp.","Podonomus sp.","Orthocladiinae","Tipula sp.","Tabanus sp.","Limonia sp.","Claudioperla sp.","Anomalocosmoecus sp.","Atopsyche sp.","Cailloma sp.","Gigantodax sp.","Similium sp.","Molophilus sp","Andesiops sp.","Meridialaris sp."],"keywordsOther":["glacier rivers","abundance","benthic macroinvertebrate","Austrelmis sp.","Scirtidae sp.","Paraheptagya sp.","Parochlus sp.","Podonomus sp.","Orthocladiinae","Tipula sp.","Tabanus sp.","Limonia sp.","Claudioperla sp.","Anomalocosmoecus sp.","Atopsyche sp.","Cailloma sp.","Gigantodax sp.","Similium sp.","Molophilus sp","Andesiops sp.","Meridialaris sp."],"keywordsPlace":["Cordilera Blanca"],"keywordsTheme":["Biodiversity"],"licence":"Open government licence","lineage":"At each sampling site, a 15-meter section was defined and 6 samples randomly taken in riffles, pools and bankside habitats using 250μm mesh net (0.09 m2). The collected substrate was placed in airtight bags preserved with 96% ethyl alcohol in the field. The identification was carried out using the taxonomic manuals by Domínguez & Fernández (2009) and Prat et al. (2011). More detail is available in the supporting documentation accompanying the data.","locations":["POLYGON((-81.411 -18.348, -81.411 -0.057, -68.665 -0.057, -68.665 -18.348, -81.411 -18.348))"],"metadataDate":"2026-06-29T18:04:15.000Z","orcid":["https://orcid.org/0000-0001-5295-3901","https://orcid.org/0000-0002-2910-6808","https://orcid.org/0000-0003-3123-1904","https://orcid.org/0000-0001-9230-2177","https://orcid.org/0000-0003-2316-123X","https://orcid.org/0000-0001-5065-7770","https://orcid.org/0000-0002-0708-4468","https://orcid.org/0000-0002-5554-8087","https://orcid.org/0000-0002-2420-0088"],"organisation":["National University of Santiago Antunez Mayolo","Centro de Ornitología y Biodiversidad (CORBIDI)","Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña","Northumbria University","University of Leeds","NERC EDS Environmental Information Data Centre","National Environmental Research Council"],"publicationDate":"2024-07-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/db604b78-c616-471b-9028-2d0826a6f50c","10.5285/db604b78-c616-471b-9028-2d0826a6f50c","doi:10.5285/db604b78-c616-471b-9028-2d0826a6f50c"],"resourceType":"Dataset","rightsHolder":["National Environmental Research Council"],"ror":["https://ror.org/03w7bgm07","https://ror.org/03a5ms192","https://ror.org/01ff0t864","https://ror.org/049e6bc10","https://ror.org/024mrxd33","https://ror.org/04xw4m193","https://ror.org/02b5d8509"],"shortenedDescription":"This dataset includes taxonomic and abundance data at the of benthic macroinvertebrates in ten rivers within the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. \n\nThis data was created to analyse the response of aquatic…","state":"published","title":"Benthic macroinvertebrate biodiversity and abundance data from glacier rivers in the Cordillera Blanca, Peru, 2019-2020","topic":["0/Biodiversity/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Instituto de Ecología Regional","UKCEH Wallingford","Facultad de Ciencias Naturales e Instituto Miguel Lillo"],"authorFamilyName":["Ramírez-Mejía","Blendinger","Woodcock","Schmucki","Chacoff"],"authorFullName":["Ramírez-Mejía, A.F.","Blendinger, P.G.","Woodcock, B.A.","Schmucki, R.","Chacoff, N.P."],"authorGivenName":["A.F.","P.G.","B.A.","R.","N.P."],"authorOrcid":["https://orcid.org/0000-0002-1986-2458","https://orcid.org/0000-0002-2130-9934","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0003-3064-7553","https://orcid.org/0000-0002-1115-6989"],"authorRor":["https://ror.org/04chzd762","https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data describes pollinator associations with commercial blueberry crops within nine farms in the province of Tucumán (26° 50′ 02′′S, 65° 12′  55′′ W), Argentina.  Using transect based walks at two distances from field boundaries the abundance of insect and hummingbird pollinators were assessed.  Fruit set attributable to insect and hummingbird pollinators was assessed using pollinator exclusion net bags placed over flowering branches of blueberries.   ","documentType":"GEMINI_DOCUMENT","familyName":["Ramírez-Mejía","Blendinger","Woodcock","Schmucki","Chacoff"],"fullName":["Ramírez-Mejía, A.F.","Blendinger, P.G.","Woodcock, B.A.","Schmucki, R.","Chacoff, N.P."],"funder":["Natural Environment Research Council","Consejo Nacional de Investigaciones Científicas y Técnicas","Universidad Nacional de Tucumán","National Scientific and Technical Research Council of Argentina (CONICET)"],"givenName":["A.F.","P.G.","B.A.","R.","N.P."],"grant":["NE/S011870/2","RD 1984/19","PIUNT 2018 #G609","2018/14994-1"],"identifier":"7756e3fb-0305-48d7-958e-338c02fa33fd","incomingCitationCount":0,"keyword":["Argentina","Animal behaviour","insect","bee","hoverflies","hummingbirds","fruit","blueberry"],"keywordsOther":["insect","bee","hoverflies","hummingbirds","fruit","blueberry"],"keywordsPlace":["Argentina"],"keywordsTheme":["Animal behaviour"],"licence":"Open government licence","lineage":"Fieldwork instrumentation used: No fieldwork instrumentation was used outside of GPS to position the sites locations.   \n\nMethods of collection: Pollinators on nine farms were sampled, eight in 2020 and six in 2021—five of these farms were sampled in both years. Five farms had honeybee hives to enhance crop pollination while four rely on wild pollinators or feral honeybees. On each farm, an edge area (25 m from the field margin) and an inner area (50 m from the field margin) were established, each comprising two 70 m transects running parallel to the field margin (width 2m) and separated by 8 m. On each of the four transects 25 plants in full flower were selected on which three 25-second pollinator counts were conducted, one in the morning, one at midday and one in the afternoon. All sampling took place between 10:00 and 17:00 on sunny days with low wind and a temperature above 15°C. The abundance of honeybees, small wild bees (any bee smaller than a honeybee), hoverflies (Syrphidae) and butterflies were recorded. Hummingbirds and large wild bees (bumblebees Bombus spp. and carpenter bees Xylocopa spp., which are all larger than honeybees) showed behaviours that made them difficult to record as they fled when surveyors approached the plants. Therefore, after every 25-plant pollinator counts, the researchers walked the same transect to record the abundance of hummingbirds and large wild bees for 5 min.   These were recorded within the confines of the transect, as well as those that were observed nearby but outside of the transect.  This was assessed for the single blue-berry cultivar Emerald.\nTo compliment this data on pollinator abundance, the contribution of pollinators to fruit set for the blueberry crops was assessed.   A field experiment was conducted to maximize variation in stigmatic pollen load. In one farm 20 plants of Snowchaser cultivar were randomly selected and two flowering branches for each plant were selected that were similar in orientation, size and number of flowers. On these branches, two treatments were applied: 1) pollination exclusion – this treatment consisted of a nylon mesh bag surrounding the flowers to prevent animal pollination; 2) free pollination – the flowers were exposed to natural pollination.  The number of flowers and buds on branches was counted before bagging.  When the fruits were fully mature, they were counted to assess fruit set.  This assessment was undertaken on the cultivar Snowchaser.\n\nHow values were arrived at: Values of pollinator abundance determined from transect walks were based on visual observation and identification where possible in the field.\n\nNature and units of recorded variables:  All data on abundance of pollinators represents counts of individuals.  Data on fruit set represents counts of the number of fruits, buds and flowers.\n\nProcessing steps performed on the data: No data has been transformed.  \n\nQuality control/assessment applied to the data: All field workers were either experts with a long track record of pollinator identification or underwent extensive training.  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.  \n\nLimitations on the data’s reliability: Transect walks were not of a fixed width and so bumblebee abundance cannot be converted into a true measure of density.\n","locations":["POLYGON((-73.42 -55.25, -73.42 -21.83, -53.63 -21.83, -53.63 -55.25, -73.42 -55.25))"],"metadataDate":"2026-06-29T16:45:22.000Z","orcid":["https://orcid.org/0000-0002-1986-2458","https://orcid.org/0000-0002-2130-9934","https://orcid.org/0000-0003-0300-9951","https://orcid.org/0000-0003-3064-7553","https://orcid.org/0000-0002-1115-6989"],"organisation":["Instituto de Ecología Regional","UKCEH Wallingford","Facultad de Ciencias Naturales e Instituto Miguel Lillo","UK Centre for Ecology & Hydrology","CONICET","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-04-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7756e3fb-0305-48d7-958e-338c02fa33fd","10.5285/7756e3fb-0305-48d7-958e-338c02fa33fd","doi:10.5285/7756e3fb-0305-48d7-958e-338c02fa33fd"],"resourceType":"Dataset","rightsHolder":["CONICET"],"ror":["https://ror.org/04chzd762","https://ror.org/00pggkr55","https://ror.org/03cqe8w59","https://ror.org/04xw4m193"],"shortenedDescription":"This data describes pollinator associations with commercial blueberry crops within nine farms in the province of Tucumán (26° 50′ 02′′S, 65° 12′  55′′ W), Argentina.  Using transect based walks at two distances from field boundaries the abundance of insect and hummingbird…","state":"published","title":"Wild bee associations with blueberry crops in Argentina, 2020-2021","topic":["0/Animal behaviour/"],"version":1.0,"view":["public","shofer"]},{"availability":"Unknown","catalogue":"eidc","description":"Countryside Survey is a unique study or \"audit\" of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and studied using rigorous scientific methods, allowing us to compare results from later surveys with those from previous surveys. In this way, we can detect the gradual and subtle changes that occur in the countryside over time. A series of reports have been published outlining the main findings for UK and individual countries, most recently in 2007. This collection belongs to a new phase of Countryside Survey which has adopted a rolling program of monitoring as of 2019 (as the UKCEH Countryside Survey/UKCEH-CS). The first 5 year cycle of the rolling programme dates from 2019-2023 (with some pilot sites done in 2018). This work was partly 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. Additional data was collected for hedgerows during this time period, funded by DEFRA/Natural England.","documentType":"GEMINI_DOCUMENT","identifier":"450b8dce-03dd-412f-aa77-bfe7726bc6f2","incomingCitationCount":0,"keyword":["Great Britain","Environmental survey","vegetation","habitat","Countryside Survey"],"keywordsOther":["vegetation","habitat","Countryside Survey"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Environmental survey"],"licence":"Non-Open government licence","metadataDate":"2026-03-25T16:47:49.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-02-13T00:00:00.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/450b8dce-03dd-412f-aa77-bfe7726bc6f2"],"resourceType":"Aggregation","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Countryside Survey is a unique study or \"audit\" of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. The countryside is sampled and studied using rigorous scientific methods, allowing us to compare results…","state":"published","title":"Countryside Survey 2018-2023","topic":["0/Environmental survey/"],"version":1.0,"view":["public","glenn"]},{"authorAffiliation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds"],"authorFamilyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"authorFullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"authorGivenName":["S.","W.","S.A.","E.U.","R.","P."],"authorOrcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0001-5074-1673"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected in order to assess the differences between species in their canopy temperature and for greater understanding of plant temperature regulation. ","documentType":"GEMINI_DOCUMENT","familyName":["Fauset","Hagan Brown","Addo-Danso","Gloor","Fyfe","Ganderton"],"fullName":["Fauset, S.","Hagan Brown, W.","Addo-Danso, S.A.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","S.A.","E.U.","R.","P."],"grant":["NE/V008366/1"],"identifier":"ae09832e-3258-4619-9b9b-65e1c1d09960","incomingCitationCount":0,"keyword":["West Africa","Ghana","Climate and climate change","Environmental survey","canopy temperature","semi-deciduous","ecophysiology","tropical forest","forest"],"keywordsOther":["canopy temperature","semi-deciduous","ecophysiology","tropical forest","forest"],"keywordsPlace":["West Africa","Ghana"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.","locations":["POLYGON((1.29 6.64, 1.29 6.74, 1.37 6.74, 1.37 6.64, 1.29 6.64))"],"metadataDate":"2026-06-29T17:02:54.000Z","orcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0001-5074-1673"],"organisation":["University of Plymouth","CSIR Forestry Research Institute of Ghana","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/ae09832e-3258-4619-9b9b-65e1c1d09960","10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960","doi:10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems).…","state":"published","title":"Canopy temperatures from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Dahlsjö","Malhi","Bailey"],"authorFullName":["Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A."],"authorGivenName":["Cecilia A. L.","Yadvinder","Andrew"],"authorOrcid":["https://orcid.org/0000-0003-3795-1523"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments.","documentType":"GEMINI_DOCUMENT","familyName":["Dahlsjö","Malhi","Bailey"],"fullName":["Cecilia Dahlsjö","Dahlsjö, C.A.L.","Malhi, Y.","Bailey, A."],"funder":["Natural Environment Research Council"],"givenName":["Cecilia A. L.","Yadvinder","Andrew"],"grant":["NE/T007648/1"],"identifier":"fc00dbd0-bf3d-495e-9895-190919f8e5e8","incomingCitationCount":0,"keyword":["Environmental survey","deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsOther":["deciduous forest","forest ecology","pathogen","carbon cycle"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Tree censuses were conducted in November 2020, September 2021, and September 2022. A diameter band was used to record the diameter at breast height of all trees (>1cm diameter) in each plot. Growth values were calculated by subtracting the diameter from one year by the diameter from the previous year.  Stems that grew or shrank by 10 cm or more were removed due to suspected sampling error.  Data within size classes and species that were outside 3 standard deviations of the mean were also removed as they were classed as outliers that may have been affected by sampling error. The growth was then converted to biomass growth using allometric equations as outlined in Dahlsjo and Malhi (2024) and then converted to carbon assuming that the stems contained 49% carbon. Due to the high risk of sampling error we have  produced a relatively conservative dataset of carbon accumulation from plots with varying levels of ash dieback. Limitations include a small number (5) of plots per treatment. Data were converted from Excel into csv.","locations":["POLYGON((-1.357 51.755, -1.357 51.788, -1.299 51.788, -1.299 51.755, -1.357 51.755))"],"metadataDate":"2026-06-29T18:06:52.000Z","orcid":["https://orcid.org/0000-0003-3795-1523"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-01-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/fc00dbd0-bf3d-495e-9895-190919f8e5e8","10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8","doi:10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022.  Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots…","state":"published","supplementalDescription":["Cecilia A.L. Dahlsjö, Yadvinder Malhi, 2024, Unravelling a hidden synergy: How pathogen-climate interactions transform habitat hydrology and affect tree growth, Science of The Total Environment, Volume 954, 176325, ISSN 0048-9697"],"title":"Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022","topic":["0/Environmental survey/"],"version":1.0,"view":["public","katwri"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UKCEH Countryside Survey"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["File geodatabase (gdb)"],"description":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","documentType":"GEMINI_DOCUMENT","familyName":["Wood"],"fullName":["Wood, C.","UKCEH Countryside Survey"],"givenName":["Claire"],"identifier":"0cfd454a-d035-416c-80dc-803c65470ea2","incomingCitationCount":0,"keyword":["Land class","uplands","lowlands","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["Land class","uplands","lowlands","Monitoring & Observing Systems","Environmental survey","Parr Section"],"licence":"Open government licence","lineage":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T17:13:29.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-10-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1348140148813","CEH:EIDC::1348140148813","https://catalogue.ceh.ac.uk/id/0cfd454a-d035-416c-80dc-803c65470ea2","10.5285/0cfd454a-d035-416c-80dc-803c65470ea2","doi:10.5285/0cfd454a-d035-416c-80dc-803c65470ea2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of…","state":"published","title":"Countryside Survey Environmental Zones","version":1.0,"view":["public","rjsc"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Norton","Wagner","Wood","Pinder","Brentegani","Hunt","Risser","Dodd"],"authorFullName":["Norton, L.R.","Wagner, M.","Wood, C.M.","Pinder, A.","Brentegani, M.","Hunt, A.","Risser, H.","Dodd, B.A."],"authorGivenName":["L.R.","M.","C.M.","A.","H.","B.A."],"authorOrcid":["https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0002-9494-6272"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of farm management relating to a single field on each sampled farm.   Data were collected in 2018, from farms across Great Britain belonging to the Pasture Fed Livestock Association (PFLA).  \n\nThe data were collected by the UK Centre of Ecology & Hydrology, during a project funded by the BBSRC, seeking to evidence the impacts of pasture fed livestock approaches on grassland parameters, in particular, sward composition and associated soil qualities.","documentType":"GEMINI_DOCUMENT","familyName":["Norton","Wagner","Wood","Pinder","Brentegani","Hunt","Risser","Dodd"],"fullName":["Norton, L.R.","Wagner, M.","Wood, C.M.","Pinder, A.","Brentegani, M.","Hunt, A.","Risser, H.","Dodd, B.A."],"funder":["Biotechnology and Biological Sciences Research Council"],"givenName":["L.R.","M.","C.M.","A.","H.","B.A."],"identifier":"78ca9a01-107b-4f33-8561-9c3e64db7e02","incomingCitationCount":3,"keyword":["Agriculture","Environmental survey","Biodiversity","Soil","farm","vegetation","soil"],"keywordsOther":["farm","vegetation","soil"],"keywordsTheme":["Agriculture","Environmental survey","Biodiversity","Soil"],"licence":"Open government licence","lineage":"Data were collected by trained members of UKCEH staff, according to standardised protocols in the summer of 2018.  Vegetation and management records were collected on electronic recording devices.  Soil samples were analysed at UKAS Accredited labs at UKCEH Lancaster.  All data were transferred to secure databases at UKCEH Lancaster once collected.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:35:05.000Z","orcid":["https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0002-9494-6272"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre"],"publicationDate":"2021-02-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/78ca9a01-107b-4f33-8561-9c3e64db7e02","10.5285/78ca9a01-107b-4f33-8561-9c3e64db7e02","doi:10.5285/78ca9a01-107b-4f33-8561-9c3e64db7e02"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of farm management relating to a single field on each sampled farm.   Data were collected in 2018, from farms across Great Britain belonging to the Pasture…","state":"published","title":"Soil metrics and vegetation data from pasture fed livestock farms across Great Britain, 2018","topic":["0/Agriculture/","0/Environmental survey/","0/Biodiversity/","0/Soil/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology"],"authorFamilyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"authorFullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M."],"authorGivenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M."],"authorOrcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of stock (area) data for 16 Broad Habitats across Great Britain in 1990. The data are national estimates generated by analysing the sample data from 508 1km squares and scaling up to a national level. The data are summarized as habitat area per Land Class (areas of similar environmental characteristics). The sample sites are chosen from a stratified random sample, based on a 15 by 15 km grid of GB and using the 'ITE Land Classification' as a method of stratification. The data were collected as part of Countryside Survey, a unique study or 'audit' of the natural resources of the UK's countryside. The Survey has been carried out at regular intervals since 1978. 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. Surveys have been carried out in 1978, 1984, 1990, 1998 and 2007 with repeated visits to the majority of squares. In addition to habitat areas, vegetation species, soil data, linear feature data and freshwater habitats are also gathered by Countryside Survey.","documentType":"GEMINI_DOCUMENT","familyName":["Barr","Bunce","Clarke","Gillespie","Hallam","Howard","Maskell","Ness","Norton","Scott","Smart","Stuart","Wood","Wright"],"fullName":["Barr, C.J.","Bunce, R.G.H.","Clarke, R.T.","Gillespie, M.K.","Hallam, C.J.","Howard, D.C.","Maskell, L.C.","Ness, M.J.","Norton, L.R.","Scott, R.J.","Scott, W.A.","Smart, S.M.","Stuart, R.C.","Wood, C.M.","Wright, S.M.","Wood, C."],"givenName":["C.J.","R.G.H.","R.T.","M.K.","D.C.","L.C.","M.J.","L.R.","R.J.","W.A.","S.M.","R.C.","C.M.","Claire"],"identifier":"32dda22c-24cc-4fa8-adcb-5481b1b77ef1","incomingCitationCount":1,"keyword":["Great Britain","habitats","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsOther":["habitats","Monitoring & Observing Systems","Environmental survey","Parr Section"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"The data were recorded onto paper field sheets in the summer of 1990 by surveyors. Data were recorded from 508 1km squares sited across Britain, selected by random stratified sample. The areas of UK Biodiversity Action Plan (UK BAP) Broad Habitats were digitized in 2000. The digitized data were used to generate national estimates of the stock of Broad Habitats for Great Britain using the standard Countryside Survey methodology (refer to the online documentation). Estimates are presented by ITE Land Class (2007 version). ","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:03:15.000Z","orcid":["https://orcid.org/0000-0003-4006-7755","https://orcid.org/0000-0003-2750-7832"],"organisation":["Institute of Terrestrial Ecology ","Centre for Ecology & Hydrology","Natural Environment Research Council","NERC EDS Environmental Information Data Centre","NERC Environmental Information Data Centre","UK Centre for Ecology & Hydrology"],"publicationDate":"2014-01-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1385136331114","CEH:EIDC::1385136331114","https://catalogue.ceh.ac.uk/id/32dda22c-24cc-4fa8-adcb-5481b1b77ef1","10.5285/32dda22c-24cc-4fa8-adcb-5481b1b77ef1","doi:10.5285/32dda22c-24cc-4fa8-adcb-5481b1b77ef1"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/02b5d8509","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of stock (area) data for 16 Broad Habitats across Great Britain in 1990. The data are national estimates generated by analysing the sample data from 508 1km squares and scaling up to a national level. The data are summarized as habitat area per…","state":"published","supplementalName":["Countryside Survey website"],"title":"Countryside Survey 1990 estimates of Broad Habitat areas in Great Britain","version":1.0,"view":["public","rjsc"]},{"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":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0002-2070-2187"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid","TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). 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":"289805c2-4be7-4fb5-b6ec-1539ed88c43d","incomingCitationCount":2,"keyword":["Great Britain","England","Scotland","Wales","Land cover"],"keywordsPlace":["Great Britain","England","Scotland","Wales"],"keywordsTheme":["Land cover"],"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 tiles NW and HZ. See online supporting 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":"2026-06-27T19:48:28.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0002-2070-2187"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1399373975762","CEH:EIDC::1399373975762","https://catalogue.ceh.ac.uk/id/289805c2-4be7-4fb5-b6ec-1539ed88c43d","10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d","doi:10.5285/289805c2-4be7-4fb5-b6ec-1539ed88c43d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2007 for Great Britain. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations…","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)."],"title":"Land Cover Map 2007 (1km percentage aggregate class, GB) v1.2","topic":["0/Land cover/"],"version":1.0,"view":["public","rjsc"]},{"availability":"Unknown","catalogue":"eidc","description":"This series of datasets includes hydrological data (spatial-temporal groundwater and surface water levels and physico-chemical parameters, including electrical conductivity, pH, major ions, trace metals and stable isotopes) and dam sediment shallow core data (grain size, organic matter, trace metals), collected between 2017-2018 in the Gaborone catchment, Botswana, and the resulting hydrogeological conceptual model of groundwater-surface water interactions.\nData were collected under the PULA project, a NERC Urgency funded project involving the University of Aberdeen, the Botswana International University of Science and Technology, the Botswana Department of Water Affairs, and the International Water Management Institute.\nThe project examined the water quality, water level and sedimentary response following the major, destructive floods that occurred in the catchment in 2016-2017 in order to better understand the impact of extreme rainfall and floods on both groundwater and surface water resources, with a specific focus on the mechanism of resources replenishment and potential release of contaminants.","documentType":"GEMINI_DOCUMENT","identifier":"95d78470-65a6-4b2c-8516-a255213a15e0","incomingCitationCount":0,"keyword":["Botswana","Extreme rainfall","Flood","Water resources","Groundwater-surface water interactions","Water quality","Water level","Dam flood sedimentary records","Gaborone catchment"],"keywordsOther":["Extreme rainfall","Flood","Water resources","Groundwater-surface water interactions","Water quality","Water level","Dam flood sedimentary records","Gaborone catchment"],"keywordsPlace":["Botswana"],"licence":"Non-Open government licence","metadataDate":"2024-02-08T17:36:12.000Z","recordType":"Data collection","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/95d78470-65a6-4b2c-8516-a255213a15e0"],"resourceType":"Aggregation","shortenedDescription":"This series of datasets includes hydrological data (spatial-temporal groundwater and surface water levels and physico-chemical parameters, including electrical conductivity, pH, major ions, trace metals and stable isotopes) and dam sediment shallow core data (grain…","state":"published","title":"Impacts for the 2016-2017 extreme rainfall and floods on water resources quality and quantity in SE Botswana","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Cowan","Levy","Skiba","Famulari","Anderson"],"authorFullName":["Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Famulari, D.","Anderson, M."],"authorGivenName":["N.J.","P.E.","U.M.","D.","M."],"authorOrcid":["https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0001-8659-6092"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data set contains terrestrial fluxes of N2O from an intensively managed grazed grassland in Scotland measured using eddy covariance and chamber methods . The effect of a tillage event and two nitrogen fertilizer applications were investigated by comparing N2O fluxes from two adjacent intensively managed grazed grasslands , one of which was tilled. An eddy covariance system mounted at 2.4 m was used to measure fluxes of N2O, H2O and CO2 using a quantum cascade laser (QCL) gas analyser. Flux measurements were made over a six month period starting at the end of March, 2012. Chamber measurements were also made using both static and dynamic chambers. The data was collected as part of the GHG Platform project AC0116 funded by DEFRA.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cowan","Levy","Skiba","Famulari","Anderson"],"fullName":["Cowan, N.","Cowan, N.J.","Levy, P.E.","Skiba, U.M.","Famulari, D.","Anderson, M."],"givenName":["Nicholas","N.J.","P.E.","U.M.","D.","M."],"identifier":"7f54018c-3071-4213-8cee-78f8bd57977d","incomingCitationCount":0,"keyword":["Pollution","InveN2Ory"],"keywordsOther":["InveN2Ory"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Eddy covariance raw data from the QCL and sonic anemometer was recorded in tandem using a Labview program. This data was then processed using the Eddypro software version 5.2.1. The data was filtered through a quality control system as described in Cowan, N. J., Levy, P. E., Famulari, D., Anderson, M., Drewer, J., Carozzi, M., Reay, D. S., and Skiba, U. M.: The influence of tillage on N~2~O fluxes from an intensively managed grazed grassland in Scotland, Biogeosciences, 13, 4811-4821, https://doi.org/10.5194/bg-13-4811-2016, 2016.\nRaw concentration data for the chamber methods was processed to calculate fluxes. These fluxes were calculated using the HMR package in the statistical environment R.\nMet data from the Easter Bush site was collected in 2012 by various methods and quality control was carried out by comparison with nearby met stations. \n","locations":["POLYGON((-4.888 55.556, -4.888 56.957, -1.704 56.957, -1.704 55.556, -4.888 55.556))"],"metadataDate":"2026-06-29T16:57:21.000Z","orcid":["https://orcid.org/0000-0002-8505-1901","https://orcid.org/0000-0001-8659-6092"],"organisation":["UK Centre for Ecology & Hydrology","Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2019-06-04T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/7f54018c-3071-4213-8cee-78f8bd57977d","10.5285/7f54018c-3071-4213-8cee-78f8bd57977d","doi:10.5285/7f54018c-3071-4213-8cee-78f8bd57977d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data set contains terrestrial fluxes of N2O from an intensively managed grazed grassland in Scotland measured using eddy covariance and chamber methods . The effect of a tillage event and two nitrogen fertilizer applications were investigated by comparing N2O fluxes…","state":"published","title":"Nitrous oxide fluxes from an intensively managed grazed grassland in Scotland","topic":["0/Pollution/"],"version":1.0,"view":["public","leav","rjr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Rhodes","Thackeray","Maberly"],"authorFullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"authorGivenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","G.","S.J.","S.C."],"authorOrcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. All data are from January 2019 until the end of 2020.","documentType":"GEMINI_DOCUMENT","familyName":["Feuchtmayr","Clarke","De Ville","Dodd","Guyatt","Hunt","James","Rhodes","Thackeray","Maberly"],"fullName":["Feuchtmayr, H.","Clarke, M.A.","De Ville, M.M.","Dodd, B.A.","Guyatt, H.","Hunt, A.G.","James, J.B.","Rhodes, G.","Thackeray, S.J.","Maberly, S.C."],"funder":["Natural Environment Research Council"],"givenName":["H.","M.A.","M.M.","B.A.","A.G.","J.B.","G.","S.J.","S.C."],"grant":["NE/R016429/1","NE/Y006208/1 "],"identifier":"26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2","incomingCitationCount":0,"keyword":["UK","Lake District National Park","Environmental survey","Lake monitoring","lake water temperature","dissolved oxygen","secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsOther":["Lake monitoring","lake water temperature","dissolved oxygen","secchi depth","algae","phytoplankton","lake water chemistry","Lake District"],"keywordsPlace":["UK","Lake District National Park"],"keywordsTheme":["Environmental survey"],"licence":"Open government licence","lineage":"Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. \nPlease note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data has been double entered and checked visually. Missing data are due to weather conditions, covid-19 restrictions or staff shortage.\n","locations":["POLYGON((-3.001 54.345, -3.001 54.374, -2.966 54.374, -2.966 54.345, -3.001 54.345))"],"metadataDate":"2026-06-27T19:15:55.000Z","orcid":["https://orcid.org/0000-0002-2028-4843","https://orcid.org/0000-0002-3808-1534","https://orcid.org/0000-0003-3541-5903"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-10-29T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2","10.5285/26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2","doi:10.5285/26ea7dfb-59f2-4dc5-b1ee-e9270167a6a2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Esthwaite Water in Cumbria, England that began in 1945 for some variables. The…","state":"published","title":"Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2019-2020","topic":["0/Environmental survey/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Plymouth","University of Birmingham","University of Leeds"],"authorFamilyName":["Fauset","Hagan Brown","MacKenzie","Gloor","Fyfe","Ganderton"],"authorFullName":["Fauset, S.","Hagan Brown, W.","MacKenzie, A.R.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"authorGivenName":["S.","W.","A.R.","E.U.","R.","P."],"authorOrcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0002-8227-742X"],"authorRor":["https://ror.org/008n7pv89","https://ror.org/03angcq70","https://ror.org/024mrxd33"],"availability":"Available","catalogue":"eidc","dataFormat":["Plain text"],"description":"The dataset provides raw infrared temperature data from a thermal camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). Data were collected in order to assess the impact of high CO2 on canopy temperatures and for greater understanding of plant temperature regulation. This site is a mature oak woodland, and the field of view of the camera includes one of the experimental CO2 enrichment plots, and numerous trees in the ambient un-enriched air. The trees included in the field of view are predominantly Quercus robur, with some individuals of Acer pseudoplatanus and Pinus sylvestris. ","documentType":"GEMINI_DOCUMENT","familyName":["Fauset","Hagan Brown","MacKenzie","Gloor","Fyfe","Ganderton"],"fullName":["Fauset, S.","Hagan Brown, W.","MacKenzie, A.R.","Gloor, E.U.","Fyfe, R.","Ganderton, P."],"funder":["Natural Environment Research Council"],"givenName":["S.","W.","A.R.","E.U.","R.","P."],"grant":["NE/V008366/1"],"identifier":"71e0cc1b-59bd-4b7d-994c-fa4b1c9689d9","incomingCitationCount":0,"keyword":["United Kingdom","England","Climate and climate change","Environmental survey","Canopy temperature","woodland","Quercus robur","ecophysiology","carbon dioxide","oak","woodland ecosystem","temperature","forest"],"keywordsOther":["Canopy temperature","woodland","Quercus robur","ecophysiology","carbon dioxide","oak","woodland ecosystem","temperature","forest"],"keywordsPlace":["United Kingdom","England"],"keywordsTheme":["Climate and climate change","Environmental survey"],"licence":"Open government licence","lineage":"Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.","locations":["POLYGON((-2.307 52.789, -2.307 52.804, -2.286 52.804, -2.286 52.789, -2.307 52.789))"],"metadataDate":"2026-06-29T16:27:38.000Z","orcid":["https://orcid.org/0000-0003-4246-1828","https://orcid.org/0000-0003-4399-0182","https://orcid.org/0000-0002-8227-742X"],"organisation":["University of Plymouth","University of Birmingham","University of Leeds","NERC EDS Environmental Information Data Centre"],"publicationDate":"2025-05-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/71e0cc1b-59bd-4b7d-994c-fa4b1c9689d9","10.5285/71e0cc1b-59bd-4b7d-994c-fa4b1c9689d9","doi:10.5285/71e0cc1b-59bd-4b7d-994c-fa4b1c9689d9"],"resourceType":"Dataset","rightsHolder":["University of Plymouth"],"ror":["https://ror.org/008n7pv89","https://ror.org/03angcq70","https://ror.org/024mrxd33","https://ror.org/04xw4m193"],"shortenedDescription":"The dataset provides raw infrared temperature data from a thermal camera at the Birmingham Institute for Forest Research Free Air CO2 Enrichment (BIFoR-FACE) experimental site from July 2021 to September 2023. The variable recorded is surface temperature, predominately…","state":"published","title":"Canopy temperatures of a mature oak woodland under Free-Air CO2 Enrichment at the BIFoR-FACE experimental site, Staffordshire, UK, 2021-2023","topic":["0/Climate and climate change/","0/Environmental survey/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Sustainable Pest and Disease Management, Biological Chemistry Department, Rothamsted Research"],"authorFamilyName":["Pickett"],"authorFullName":["John A. Pickett"],"authorGivenName":["John A."],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The semiochemical experiment data were collected from novel laboratory, semi-field- and field-scale bioassay experiments taking behavioural observations and counts of pest insects and their natural enemies in the field. Crop yields were taken. Chemical analyses were also done using air entrainment. The study is part of the NERC Rural Economy and Land Use (RELU) programme. Despite the widespread concerns regarding the use of pesticides in food production and the availability of potentially viable biological pest control strategies in Integrated Pest Management (IPM) systems, the UK cereal crop production remains a bastion of pesticide use. This project aimed to understand further the reasons for this lack of adoption, using the control of summer cereal aphids as a case study. Reasons for this lack of adoption of biocontrol remain a complex interplay of both technical and economic problems. Economists highlight the potential path dependency of an industry to continue to employ a suboptimal technology, caused by past dynamics of adoption resulting in differential private cost structures of each technique. Further, risk aversion on the part of farmers regarding the perceived efficacy of a new technology may also limit up-take. This may be particularly important when IPM rests on portfolios of technologies and when little scientific understanding exists on the effect of portfolio and scale of adoption on overall efficacy. Faced with this, farmers will not adopt a socially superior IPM technology and there exists a clear need for public policy action. This action may take the form of minimising uncertainty through carefully designed research programs, government funding and dissemination of the results of large-scale research studies or direct public support for farm landscape and farm system changes that can promote biocontrol. This research looked at alternatives to the use of insecticides in arable agriculture and the difficulties facing producers in switching over to them. Two approaches were explored: habitat manipulations, to encourage predators and parasites, and using naturally occurring odours to manipulate predator distribution as model technologies. Scale and portfolio effects on biocontrol efficacy have been investigated in controlled and field scale experiments. Aim is to improve the way research and development of new products and techniques are carried out to help break the dependence on chemical pesticides. Conservation biological control experiments data investigating the effect of wild field margins on pests and predators, from this same research project, are also available. In addition, socio-economic research has been used to help direct natural science research into the development and evaluation of a combination of habitat management and semiochemical push-pull strategies of appropriate scale and complementarity to yield viable, commercially attractive and sustainable alternatives to the use of insecticides in cereal crop agriculture. These socio-economic data are available through the UK Data Archive under study number 6960 (see Supplemental). Further information and documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see Supplemental).","documentType":"GEMINI_DOCUMENT","familyName":["Pickett","Bailey"],"fullName":["Pickett, J.","Bailey, A.","John A. Pickett","Pickett, J.A."],"funder":["Economic and Social Research Council"],"givenName":["John","Alastair","John A."],"grant":["RES-224-25-0093"],"identifier":"0ba3a95d-f384-44cd-bc49-481618557ebd","incomingCitationCount":0,"keyword":["United Kingdom","Rural Economy and Land Use Programme","Re-Bugging the System: Promoting Adoption of Alternative Pest Management Strategies in Field Crop Systems","age","agricultural land","agronomy","cereals","cropping systems","crops","environmental conservation","environmental degradation","environmental issues","environmental management","farmers","farms","gender","grain crops","insecticides","land tenure","organic farming","pest control","pesticides","pests","weeds"],"keywordsOther":["age","agricultural land","agronomy","cereals","cropping systems","crops","environmental conservation","environmental degradation","environmental issues","environmental management","farmers","farms","gender","grain crops","insecticides","land tenure","organic farming","pest control","pesticides","pests","weeds"],"keywordsPlace":["United Kingdom"],"keywordsProject":["Rural Economy and Land Use Programme","Re-Bugging the System: Promoting Adoption of Alternative Pest Management Strategies in Field Crop Systems"],"licence":"Non-Open government licence","lineage":"Using the natural plant activator cis-jasmone as a model, studies aimed to: - develop effective formulations for field use - determine the response of natural enemies to treated plants - identify suitable crop varieties - investigate effects on pest populations in the field at increasing scales The data were collected from novel laboratory, semi-field- and field-scale bioassay experiments taking behavioural observations and counts of pest insects and their natural enemies in the field. Crop yields were taken. Chemical analyses were also done using air entrainment. Full details of the experiments and the data collection methodologies used can be found in the user guide, which is included in the data download package.  Research funded by Economic and Social Research Council, Natural Environment Research Council and Biotechnology and Biological Sciences Research Council. Award Number: RES-224-25-0093","locations":["POLYGON((-8.655 49.9, -8.655 60.85, 1.79 60.85, 1.79 49.9, -8.655 49.9))"],"metadataDate":"2026-06-29T15:33:54.000Z","organisation":["Rothamsted Research","University of Kent","Centre for Sustainable Pest and Disease Management, Biological Chemistry Department, Rothamsted Research","NERC EDS Environmental Information Data Centre"],"publicationDate":"2013-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1374854891838","CEH:EIDC::1374854891838","https://catalogue.ceh.ac.uk/id/0ba3a95d-f384-44cd-bc49-481618557ebd"],"resourceType":"Dataset","ror":["https://ror.org/0347fy350","https://ror.org/00xkeyj56","https://ror.org/04xw4m193"],"shortenedDescription":"The semiochemical experiment data were collected from novel laboratory, semi-field- and field-scale bioassay experiments taking behavioural observations and counts of pest insects and their natural enemies in the field. Crop yields were taken. Chemical analyses were…","state":"published","supplementalDescription":["Project information, outputs and publications for this research project."],"supplementalName":["RELU Knowledge Portal","Catalogue record for the socio-economic data from this research project"],"title":"Semiochemical experiment data, 2005-2009 - RELU Re-bugging the system: promoting adoption of alternative pest management strategies in field crop systems","version":1.0,"view":["public","rstu"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Feeney","Cosby","Robinson","Thomas","Emmett","Henrys"],"authorFullName":["Feeney, C.J.","Cosby, B.J.","Robinson, D.A.","Thomas, A.R.C.","Emmett, B.A.","Henrys, P.A."],"authorGivenName":["C.J.","B.J.","D.A.","A.R.C.","B.A.","P.A."],"authorOrcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0003-4758-1482"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset presents the mean topsoil (0-15 cm) organic carbon concentration (g kg-1) and measures of its variability at 1 km resolution across Great Britain. The mean and variability metrics were calculated from an ensemble of eight previously published digital soil maps applied to all 1 km grid cells across GB where data were available from all eight maps. Four of the maps were generated from the 2007 UKCEH Countryside Survey topsoil data, two of which are available online to use. Two maps are from the International Soil Reference and Information Centre, ISRIC: SoilGrids250m v.1 (2017) and v.2 (2020) which are free to download. Two maps are from the EU’s Joint Research Centre (JRC): the OCTOP map of 2004 and LUCAS map of 2014 which are both free to download.\nThe dataset comes in the form of a seven-band raster tiff file, with each band representing the following:\n1.\tMean predicted soil organic carbon concentration (g kg-1) of all eight maps at each 1 km grid cell\n2.\tStandard deviation (g kg-1) of all eight maps at each 1 km grid cell\n3.\tCoefficient of variation (unitless; the standard deviation divided by the mean) at each 1 km grid cell\n4.\tSignal to noise ratio (unitless; the mean divided by the standard deviation) at each 1 km grid cell\n5.\tName of the map that deviates the most from the ensemble mean at each 1 km grid cell\n6.\tRelative size (%) of the largest difference from the ensemble mean at each 1 km grid cell\n7.\tRelative size of the largest difference from the ensemble mean expressed as the number of standard deviations exceeded at each 1 km grid cell\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":["Feeney","Cosby","Robinson","Thomas","Emmett","Henrys"],"fullName":["Feeney, C.J.","Cosby, B.J.","Robinson, D.A.","Thomas, A.R.C.","Emmett, B.A.","Henrys, P.A."],"funder":["Natural Environment Research Council"],"givenName":["C.J.","B.J.","D.A.","A.R.C.","B.A.","P.A."],"grant":["NE/R016429/1"],"identifier":"c3b400ea-f603-4bc2-9225-5f1abfa9fe65","incomingCitationCount":0,"keyword":["Great Britain","Soil Organic Carbon","Topsoil","Countryside Survey","UK-SCAPE"],"keywordsOther":["Soil Organic Carbon","Topsoil","Countryside Survey","UK-SCAPE"],"keywordsPlace":["Great Britain"],"licence":"Open government licence","lineage":"Topsoil organic carbon concentrations were summarised at every 1 km grid cell where predictions exist from all eight of the compared digital soil maps. Most of the maps used to generate our dataset reflect the topsoil conditions of approximately the year, 2007 at a spatial resolution of 1 km; however, two maps at 250 m resolution were derived from a global soils database, and one map (1 km) from a European database, that include much older topsoil samples. A second map (500 m resolution) developed for Europe covers soil samples taken in 2009.\n\nThe first step before comparing the eight maps was to harmonise them to the same coordinate reference system (EPSG: 27700 / British National Grid) and grid resolution (1 km). Reprojection to British National Grid was done using tools in ArcMap, with all eight maps aligned to the Ordnance Survey (OS) 1 km grid system. Resampling to 1 km grids was undertaken on the two ISRIC maps and two JRC maps (see “Description”) by taking the means of all grid cells that occurred within each 1 km grid represented by the OS 1 km grid system.\n\nAll layers have been checked to ensure they conform to the same spatial extent, resolution, and coordinate reference system. The mean and standard deviation layers contain only positive values up to a maximum value of 550 g kg-1 (the theoretical upper limit of soil organic carbon concentration).","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:08:51.000Z","orcid":["https://orcid.org/0000-0003-2175-1842","https://orcid.org/0000-0001-5645-3373","https://orcid.org/0000-0001-7290-4867","https://orcid.org/0000-0002-4929-7285","https://orcid.org/0000-0002-2713-4389","https://orcid.org/0000-0003-4758-1482"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-12-09T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c3b400ea-f603-4bc2-9225-5f1abfa9fe65","10.5285/c3b400ea-f603-4bc2-9225-5f1abfa9fe65","doi:10.5285/c3b400ea-f603-4bc2-9225-5f1abfa9fe65"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset presents the mean topsoil (0-15 cm) organic carbon concentration (g kg-1) and measures of its variability at 1 km resolution across Great Britain. The mean and variability metrics were calculated from an ensemble of eight previously published digital soil…","state":"published","supplementalDescription":["[CSGB-KRGS]: Emmett, B.A.; Reynolds, B.; Chamberlain, P.M.; Rowe, E.; Spurgeon, D.; Brittain, S.A.; Frogbrook, Z.; Hughes, S.; Lawlor, A.J.; Poskitt, J.; Potter, E.; Robinson, D.A.; Scott, A.; Wood, C.; Woods, C. (2010). Soils Report from 2007. CS Technical Report No. 9/07. Centre for Ecology & Hydrology (Natural Environment Research Council). 192 pp.","[CSGB-MLRF]: Griffiths, R. Mapping GB Soil Carbon. (2020). Unpublished work.","[OCTOP]: Jones, R.J.A.; Hiederer, R.; Rusco, E.; Montanarella, L. (2005) Estimating organic carbon in the soils of Europe for policy support. European Journal of Soil Science, 56(5): 655-671.","[LUCAS]: de Brogniez, D.; Ballabio, C.; Stevens, A.; Jones, R. J. A.; Montanarella, L.; van Wesemael, B. (2014). A map of the topsoil organic carbon content of Europe generated by a generalized additive model. European Journal of Soil Science. 66(1): 121-134. ","[ISRIC-2017]: Hengl, T.; Mendes de Jesus, J.; Heuvelink, G. B. M.; Ruiperez Gonzalez, M.; Kilibarda, M.; Blagotić, A.; Shangguan, W.; Wright, M. N.; Geng, X.; Bauer-Marschallinger, B.; Guevara, M. A.; Vargas, R.; MacMillan, R. A.; Batjes, N. H.; Leenaars, J. G. B.; Ribeiro, E.; Wheeler, I.; Mantel, S.; Kempen, B. (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE. 12: e0169748. ","[ISRIC-2020]: Poggio, L.; de Sousa, L. M.; Batjes, N. H.; Heuvelink, G. B. M.; Kempen, B.; Ribeiro, E.; Rossiter, D. (2021). SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty. SOIL. 7: 217–240. "],"title":"Mean and variability of topsoil organic carbon concentrations across Great Britain at 1km resolution from an ensemble of eight digital soil maps","version":1.0,"view":["public","matnic"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Unaffiliated"],"authorFamilyName":["Broughton","Redhead","Turk","Pywell"],"authorFullName":["Broughton, R.K.","Redhead, J.W.","Turk, A.","Pywell, R.F."],"authorGivenName":["R.K.","J.W.","A.","R.F."],"authorOrcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Data comprise results of systematic live-trapping surveys of small mammals on three types of arable field margin at 30 locations on the Hillesden Estate, Buckinghamshire (UK), for four autumn and four spring periods between 2005 and 2011.\n\nTrapping was conducted on standard (cross compliance) field margins, and also on conservation margins (Entry Level Scheme). Data include 3172 trap records of animal captures, including breeding condition, mass (g), and recaptures. Dominant species are Wood Mouse (Apodemus sylvaticus), Bank Vole (Myodes glareolus), Field Vole (Microtus agrestis) and Common Shrew (Sorex araneus), with smaller numbers of Pygmy Shrew (Sorex minutus), Water Shrew (Neomys fodiens) and Harvest Mouse (Micromys minutus).\nThe research was funded by Defra.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Redhead","Turk","Pywell"],"fullName":["Broughton, R.K.","Redhead, J.W.","Turk, A.","Pywell, R.F."],"funder":["Department for Environment Food and Rural Affairs"],"givenName":["R.K.","J.W.","A.","R.F."],"identifier":"5a0eaccc-446b-4854-b717-efaec6b83b86","incomingCitationCount":1,"keyword":["Microtus agrestis","Myodes glareolus","Apodemus sylvaticus","Micromys minutus","Sorex araneus","Sorex minutus","Neomys fodiens"],"keywordsOther":["Microtus agrestis","Myodes glareolus","Apodemus sylvaticus","Micromys minutus","Sorex araneus","Sorex minutus","Neomys fodiens"],"licence":"Open government licence","lineage":"The source data was field datasheets collected during trapping sessions. Data collection (trapping and recording) was undertaken by skilled and trained fieldworkers, following an established protocol. Data were later transcribed into a master spreadsheet, and values were checked for quality control. Missing values or discrepancies were entered as No_data.","locations":["POLYGON((-1.03 51.936, -1.03 51.979, -0.965 51.979, -0.965 51.936, -1.03 51.936))"],"metadataDate":"2026-06-27T14:06:51.000Z","orcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","Unaffiliated","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-01-07T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/5a0eaccc-446b-4854-b717-efaec6b83b86","10.5285/5a0eaccc-446b-4854-b717-efaec6b83b86","doi:10.5285/5a0eaccc-446b-4854-b717-efaec6b83b86"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise results of systematic live-trapping surveys of small mammals on three types of arable field margin at 30 locations on the Hillesden Estate, Buckinghamshire (UK), for four autumn and four spring periods between 2005 and 2011.\n\nTrapping was conducted on…","state":"published","title":"Live-trapping surveys of small mammals on arable field margins on the Hillesden estate in Buckinghamshire (England) during 2005-2011","version":1.0,"view":["public","jgar"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Iwanicka","Stephens","Duarte"],"authorFullName":["Iwanicka, A.","Stephens, A.","Duarte, F."],"authorGivenName":["A.","F."],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset consists of monthly ammonia (NH3) measurements from ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying Atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for validation of a new PTFE membrane for ALPHA® samplers prepared at UKCEH Edinburgh research laboratory.","documentType":"GEMINI_DOCUMENT","familyName":["Iwanicka","Stephens","Duarte"],"fullName":["Iwanicka, A.","Stephens, A.","Duarte, F."],"funder":["Natural Environment Research Council"],"givenName":["A.","F.","Agata"],"grant":["NE/R016429/1"],"identifier":"86b3ca4a-143f-4a96-b6cd-38544e118f81","incomingCitationCount":0,"keyword":["Ammonia monitoring","passive sampler","new membrane"],"keywordsOther":["Ammonia monitoring","passive sampler","new membrane"],"licence":"Open government licence","lineage":"Local site operator duties are completed by UK Centre for Ecology and Hydrology (UKCEH) staff, Agri-Food and Biosciences Institute (AFBI) staff at Hillsborough and Ricardo AEA staff at Chilbolton. Analysis is completed by the UKCEH Edinburgh. Data analysis and preparation is conducted using the AAGA (Ammonia Acids Gases and Aerosols) data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-06-29T16:43:10.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-10-13T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/86b3ca4a-143f-4a96-b6cd-38544e118f81","10.5285/86b3ca4a-143f-4a96-b6cd-38544e118f81","doi:10.5285/86b3ca4a-143f-4a96-b6cd-38544e118f81"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of monthly ammonia (NH3) measurements from ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites from January 2022 to December 2022. The UK Eutrophying and Acidifying Atmospheric Pollutants (UKEAP) network…","state":"published","title":"Monthly ammonia measurements from passive samplers using ALPHA® PTFE1020 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2022","version":1.0,"view":["public","hajd"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?page=9"}