{"facets":[{"admin":false,"displayName":"Topic","fieldName":"topic","hierarchical":true,"results":[{"active":false,"count":2,"name":"Agriculture","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Agriculture/"},{"active":false,"count":9,"name":"Biodiversity","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Biodiversity/"},{"active":false,"count":6,"name":"Climate and climate change","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Climate%20and%20climate%20change/"},{"active":false,"count":3,"name":"Ecosystem services","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Ecosystem%20services/"},{"active":false,"count":2,"name":"Environmental risk","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Environmental%20risk/"},{"active":false,"count":17,"name":"Environmental survey","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Environmental%20survey/"},{"active":false,"count":6,"name":"Hydrology","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Hydrology/"},{"active":false,"count":7,"name":"Land cover","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Land%20cover/"},{"active":false,"count":3,"name":"Land use","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Land%20use/"},{"active":false,"count":5,"name":"Mapping","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Mapping/"},{"active":false,"count":5,"name":"Modelling","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Modelling/"},{"active":false,"count":2,"name":"Phenology","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Phenology/"},{"active":false,"count":2,"name":"Pollinators","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Pollinators/"},{"active":false,"count":3,"name":"Pollution","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Pollution/"},{"active":false,"count":7,"name":"Soil","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Soil/"},{"active":false,"count":4,"name":"Water quality","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=topic%7C0/Water%20quality/"}]},{"admin":false,"displayName":"Record type","fieldName":"recordType","hierarchical":false,"results":[{"active":false,"count":2,"name":"Data collection","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=recordType%7CData%20collection"},{"active":false,"count":59,"name":"Dataset","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=recordType%7CDataset"},{"active":false,"count":2,"name":"Map (web service)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=recordType%7CMap%20(web%20service)"},{"active":false,"count":1,"name":"Model","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=recordType%7CModel"},{"active":false,"count":1,"name":"Software","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=recordType%7CSoftware"}]},{"admin":false,"displayName":"Data format","fieldName":"dataFormat","hierarchical":false,"results":[{"active":false,"count":45,"name":"Comma-separated values (CSV)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CComma-separated%20values%20(CSV)"},{"active":false,"count":1,"name":"File geodatabase (gdb)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CFile%20geodatabase%20(gdb)"},{"active":false,"count":1,"name":"Geography Markup Language (gml)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CGeography%20Markup%20Language%20(gml)"},{"active":false,"count":2,"name":"JPEG","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CJPEG"},{"active":false,"count":1,"name":"NetCDF","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CNetCDF"},{"active":false,"count":2,"name":"PNG","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CPNG"},{"active":false,"count":2,"name":"Plain text","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CPlain%20text"},{"active":false,"count":1,"name":"R","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CR"},{"active":false,"count":1,"name":"R Script","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CR%20Script"},{"active":false,"count":8,"name":"Shapefile","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CShapefile"},{"active":false,"count":4,"name":"TIFF","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7CTIFF"},{"active":false,"count":1,"name":"gpkg","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7Cgpkg"},{"active":false,"count":1,"name":"jpeg","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=dataFormat%7Cjpeg"}]},{"admin":false,"displayName":"Rights holder","fieldName":"rightsHolder","hierarchical":false,"results":[{"active":false,"count":1,"name":"British Trust for Ornithology","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CBritish%20Trust%20for%20Ornithology"},{"active":false,"count":1,"name":"Bumblebee Conservation Trust","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CBumblebee%20Conservation%20Trust"},{"active":false,"count":1,"name":"Butterfly Conservation","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CButterfly%20Conservation"},{"active":false,"count":1,"name":"Department for Environment Food and Rural Affairs","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CDepartment%20for%20Environment%20Food%20and%20Rural%20Affairs"},{"active":false,"count":1,"name":"Department of Agriculture, Environment and Rural Affairs of Northern Ireland","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CDepartment%20of%20Agriculture,%20Environment%20and%20Rural%20Affairs%20of%20Northern%20Ireland"},{"active":false,"count":1,"name":"Hymettus","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CHymettus"},{"active":false,"count":1,"name":"Joint Nature Conservation Committee","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CJoint%20Nature%20Conservation%20Committee"},{"active":false,"count":1,"name":"Natural History Museum","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CNatural%20History%20Museum"},{"active":false,"count":2,"name":"Newcastle University","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CNewcastle%20University"},{"active":false,"count":1,"name":"Scottish Government","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CScottish%20Government"},{"active":false,"count":1,"name":"The University of Hull","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CThe%20University%20of%20Hull"},{"active":false,"count":37,"name":"UK Centre for Ecology & Hydrology","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUK%20Centre%20for%20Ecology%20%26%20Hydrology"},{"active":false,"count":1,"name":"University of Bristol","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Bristol"},{"active":false,"count":1,"name":"University of Edinburgh","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Edinburgh"},{"active":false,"count":1,"name":"University of Hull","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Hull"},{"active":false,"count":1,"name":"University of Leeds","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Leeds"},{"active":false,"count":3,"name":"University of Leicester","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Leicester"},{"active":false,"count":1,"name":"University of Oxford","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Oxford"},{"active":false,"count":1,"name":"University of Reading","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Reading"},{"active":false,"count":2,"name":"University of Stirling","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CUniversity%20of%20Stirling"},{"active":false,"count":1,"name":"Welsh Government","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=rightsHolder%7CWelsh%20Government"}]},{"admin":false,"displayName":"Funder","fieldName":"funder","hierarchical":false,"results":[{"active":false,"count":1,"name":"Department for Environment Food and Rural Affairs","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CDepartment%20for%20Environment%20Food%20and%20Rural%20Affairs"},{"active":false,"count":1,"name":"Department of Agriculture, Environment and Rural Affairs (DAERA, Northern Ireland)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CDepartment%20of%20Agriculture,%20Environment%20and%20Rural%20Affairs%20(DAERA,%20Northern%20Ireland)"},{"active":false,"count":1,"name":"Department of Energy Security and Net Zero","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CDepartment%20of%20Energy%20Security%20and%20Net%20Zero"},{"active":false,"count":1,"name":"Global Environment Facility (GEF)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CGlobal%20Environment%20Facility%20(GEF)"},{"active":false,"count":1,"name":"Joint Nature Conservation Committee (JNCC)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CJoint%20Nature%20Conservation%20Committee%20(JNCC)"},{"active":false,"count":19,"name":"Natural Environment Research Council","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CNatural%20Environment%20Research%20Council"},{"active":false,"count":2,"name":"NatureScot","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CNatureScot"},{"active":false,"count":1,"name":"Scottish Government","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CScottish%20Government"},{"active":false,"count":1,"name":"United Nations Environment Programme (UNEP)","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CUnited%20Nations%20Environment%20Programme%20(UNEP)"},{"active":false,"count":1,"name":"Welsh Government","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=funder%7CWelsh%20Government"}]},{"admin":true,"displayName":"Availability","fieldName":"availability","hierarchical":false,"results":[{"active":false,"count":59,"name":"Available","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=availability%7CAvailable"},{"active":false,"count":3,"name":"Embargoed","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=availability%7CEmbargoed"},{"active":false,"count":3,"name":"Unknown","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=availability%7CUnknown"}]},{"admin":false,"displayName":"grant","fieldName":"grant","hierarchical":false,"results":[{"active":false,"count":1,"name":"NE/L002612/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/L002612/1"},{"active":false,"count":1,"name":"NE/L00738X/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/L00738X/1"},{"active":false,"count":6,"name":"NE/R016429/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/R016429/1"},{"active":false,"count":2,"name":"NE/S000100/2","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/S000100/2"},{"active":false,"count":2,"name":"NE/S008926/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/S008926/1"},{"active":false,"count":1,"name":"NE/S016244/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/S016244/1"},{"active":false,"count":1,"name":"NE/S016244/2","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/S016244/2"},{"active":false,"count":1,"name":"NE/T01279X/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/T01279X/1"},{"active":false,"count":1,"name":"NE/W004038/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/W004038/1"},{"active":false,"count":1,"name":"NE/X006247/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/X006247/1"},{"active":false,"count":1,"name":"NE/Y004205/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/Y004205/1"},{"active":false,"count":2,"name":"NE/Y006208/1","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=grant%7CNE/Y006208/1"}]},{"admin":true,"displayName":"Publication status","fieldName":"state","hierarchical":false,"results":[{"active":false,"count":65,"name":"published","url":"https://catalogue.ceh.ac.uk/eidc/documents?term=ECN&facet=state%7Cpublished"}]}],"nextPage":"https://catalogue.ceh.ac.uk/eidc/documents?page=4&term=ECN","numFound":65,"order":"asc","page":3,"prevPage":"https://catalogue.ceh.ac.uk/eidc/documents?page=2&term=ECN","results":[{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Andrews","Dick"],"authorFullName":["Andrews, C.","Dick, J."],"authorGivenName":["C.","J."],"authorOrcid":["0000-0003-2428-272X","0000-0002-4180-9338"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic loggers for 185 days (31/04 to 01/11/2014) in an upland pine forest in the Cairngorms National Park, Scotland.","documentType":"GEMINI_DOCUMENT","familyName":["Andrews","Dick"],"fullName":["Andrews, C.","Dick, J."],"givenName":["C.","J."],"identifier":"cee99bc4-15f7-42a0-bbbc-d3085ebfa486","incomingCitationCount":0,"keyword":["Cairngorms","Scotland","bioindicator","environmental driver","activity","upland","bat","Pipistrelle","Pipistrellus pipistrellus","Pipistrellus pygmaeus","common Pipistrelle","soprano Pipistrelle","chiropteran"],"keywordsOther":["bioindicator","environmental driver","activity","upland","bat","Pipistrelle","Pipistrellus pipistrellus","Pipistrellus pygmaeus","common Pipistrelle","soprano Pipistrelle","chiropteran"],"keywordsPlace":["Cairngorms","Scotland"],"licence":"Open government licence","lineage":"Cross-checking accuracy of auto-identification software was crucial, and prior to use a 1000 records were cross-checked, and no mis-identifications of target species found. For continuity Pipistrelle bats left unresolved were assigned to species using 50KHz as the species delimiter. Wind direction cardinals was calculated from degrees using the following equation in Microsoft excel (=CHOOSE(INT(MOD(((WindDir*100) +1125),36000)/4500)+1,\"N\", \"NE\", \"E\", \"SE\", \"S\", \"SW\", \"W\", \"NW\"), whilst cloud base categories were established using the following equation (=IF(CloudBase<350,\"Fog\",IF(CloudBase >650,\"High\",\"Low\")). Bat activity data was expressed as passes per hour, and was calculated by the total number of passes/hours in night.","locations":["POLYGON((-3.883 57.073, -3.883 57.121, -3.76 57.121, -3.76 57.073, -3.883 57.073))"],"metadataDate":"2026-09-15T08:46:04.000Z","orcid":["0000-0003-2428-272X","0000-0002-4180-9338"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-09-25T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486","doi:10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486","https://catalogue.ceh.ac.uk/id/cee99bc4-15f7-42a0-bbbc-d3085ebfa486"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic…","state":"published","temporalExtentText":"Data collected from 2014 to 2014","title":"Acoustic bat data, Cairngorms 2014","version":1.0,"view":["public","dcmo"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","Polytechnic University/CERNAS","University of Évora","Center for Climate and Resilience Research","University of Parakou","Swedish Meteorological and Hydrological Institute ","University of Tokyo","Gdansk University of Technology","Gaston Berger University","Badji Mokhtar - Annaba University","Swedish Meteorological and Hydrological Institute","Université Tunis El Manar","Czech Hydrometeorological Institute","Nong Lam University – Ho Chi Minh City","Tohoku University","Mohammed VI Polytechnic University","Norwegian Water Resources and Energy Directorate","Institute of Earth Science (IES), University of Évora","Pontificia Universidad Javeriana","University of Abobo-Adjamé","Czech University of Life Sciences Prague","United States Geological Survey","University of Canterbury, Christchurch","Swiss Federal Office for the Environment ","University of Otago, Dunedin","University of Natural Resources and Life Sciences, Vienna (BOKU)","Bureau of Meteorology, Canberra","National Water and Sanitation Agency (ANA)","University of Otago","Universidad Politécnica de Madrid","Stellenbosch University","Maynooth University","University of Danang","Warsaw University of Life Sciences","Cadi Ayyad University","Aix Marseille University","University of Freiburg","University of Adelaide","South African Environmental Observation Network","Research Institute for Development (IRD)","Finnish Environment Institute (SYKE) ","Chulalongkorn University","University of Saskatchewan"],"authorFamilyName":["Turner","Hannaford","Barker","Suman","Armitage","Killeen","Griffin","Davies","Kumar","Dixon","Albuquerque","Almeida Ribeiro","Alvarez-Garreton","Amoussou","Arheimer","Asano","Berezowski","Bodian","Boutaghane","Capell","Dakhaoui","Daňhelka","Do","Ekkawatpanit","El Khalki","Fleig","Fonseca","Giraldo-Osorio","Goula","Hanel","Hodgkins","Horton","Kan","Kingston","Laaha","Laugesen","Lopes","Mager","Markonis","Mediero","Midgley","Murphy","O'Connor","Pedersen","Pham","Piniewski","Rachdane","Renard","Saidi","Schmocker-Facker","Stahl","Thyler","Toucher","Tramblay","Uusikivi","Venegas-Cordero","Vissesri","Watson","Westra","Whitfield"],"authorFullName":["Turner, S.","Hannaford, J.","Barker, L.J.","Suman, G.","Armitage, R.","Killeen, A.","Griffin, A.","Davies, H.","Kumar, A.","Dixon, H.","Albuquerque, M.T.D.","Almeida Ribeiro, N.","Alvarez-Garreton, C.","Amoussou, E.","Arheimer, B.","Asano, Y.","Berezowski, T.","Bodian, A.","Boutaghane, H.","Capell, R.","Dakhaoui, H.","Daňhelka, J.","Do, H.X.","Ekkawatpanit, C.","El Khalki, E.M.","Fleig, A.K.","Fonseca, R.","Giraldo-Osorio, J.D.","Goula, A.B.T.","Hanel, M.","Hodgkins, G.","Horton, S.","Kan, C.","Kingston, D.G.","Laaha, G.","Laugesen, R.","Lopes, W.","Mager, S.","Markonis, Y.","Mediero, L.","Midgley, G.","Murphy, C.","O'Connor, P.","Pedersen, A.I.","Pham, H.T.","Piniewski, M.","Rachdane, M.","Renard, B.","Saidi, M.E.","Schmocker-Facker, P.","Stahl, K.","Thyler, M.","Toucher, M.","Tramblay, Y.","Uusikivi, J.","Venegas-Cordero, N.","Vissesri, S.","Watson, A.","Westra, S.","Whitfield, P.H."],"authorGivenName":["S.","J.","L.J.","G.","R.","A.","H.","M.T.D.","N.","C.","E.","B.","Y.","T.","H.X.","E.M.","A.K.","J.D.","A.B.T.","M.","G","D.G.","W.","S. ","L.","P.","A.I.","H.T.","M.E.","K.","P.H."],"authorOrcid":["0000-0001-8358-8775","0000-0002-5256-3310","0000-0002-2913-0664","0009-0007-5338-4756","0000-0001-8645-4561","0000-0002-7415-063X","0000-0002-6884-2808","0000-0002-5381-4863","0000-0001-8314-0735","0000-0003-4074-0866","0000-0003-3107-6019","0000-0002-8260-0397","0000-0002-7784-1313","0000-0002-5271-4350","0000-0001-9169-579X","0000-0001-6723-1303","0000-0001-9337-4367","0000-0002-0956-8255","0000-0002-6389-2822","0000-0001-6205-3341","0000-0001-8317-6711","0000-0002-4916-5565","0000-0001-5879-1464","0000-0003-4205-4181","0000-0002-6793-9640","0000-0001-6610-5874","0000-0003-0144-8969","0000-0002-9346-6592","0000-0003-4891-2650","0000-0002-7755-0831","0000-0001-7930-4549","0000-0001-7280-3951","0000-0001-8447-5430","0000-0001-8949-2547","0000-0003-4488-2052","0000-0002-2159-9441","0000-0003-4691-0715","0000-0003-0481-5330","0009-0000-5637-4069","0000-0002-0154-6529","0000-0001-5998-6933","0000-0003-4023-6061","0000-0001-6937-9459"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,386 gauging stations across the globe which have natural or near-natural catchments. Metadata is also provided alongside these stations for the Full ROBIN Dataset consisting of 3,060 gauging stations. Data were quality controlled by the central ROBIN team before being added to the dataset, and two levels of data quality are applied to guide users towards appropriate the data usage. Most records have data of at least 40 years with minimal missing data with data records starting in the late 19th Century for some sites through to 2022.\n\nROBIN represents a significant advance in global-scale, accessible streamflow data.\n\nThe project was funded the UK Natural Environment Research Council Global Partnership Seedcorn Fund - NE/W004038/1 and the NC-International programme [NE/X006247/1] delivering National Capability","documentType":"GEMINI_DOCUMENT","familyName":["Turner","Hannaford","Barker","Suman","Armitage","Killeen","Griffin","Davies","Kumar","Dixon","Albuquerque","Almeida Ribeiro","Alvarez-Garreton","Amoussou","Arheimer","Asano","Berezowski","Bodian","Boutaghane","Capell","Dakhaoui","Daňhelka","Do","Ekkawatpanit","El Khalki","Fleig","Fonseca","Giraldo-Osorio","Goula","Hanel","Hodgkins","Horton","Kan","Kingston","Laaha","Laugesen","Lopes","Mager","Markonis","Mediero","Midgley","Murphy","O'Connor","Pedersen","Pham","Piniewski","Rachdane","Renard","Saidi","Schmocker-Facker","Stahl","Thyler","Toucher","Tramblay","Uusikivi","Venegas-Cordero","Vissesri","Watson","Westra","Whitfield"],"fullName":["Turner, S.","Hannaford, J.","Barker, L.J.","Suman, G.","Armitage, R.","Killeen, A.","Griffin, A.","Davies, H.","Kumar, A.","Dixon, H.","Albuquerque, M.T.D.","Almeida Ribeiro, N.","Alvarez-Garreton, C.","Amoussou, E.","Arheimer, B.","Asano, Y.","Berezowski, T.","Bodian, A.","Boutaghane, H.","Capell, R.","Dakhaoui, H.","Daňhelka, J.","Do, H.X.","Ekkawatpanit, C.","El Khalki, E.M.","Fleig, A.K.","Fonseca, R.","Giraldo-Osorio, J.D.","Goula, A.B.T.","Hanel, M.","Hodgkins, G.","Horton, S.","Kan, C.","Kingston, D.G.","Laaha, G.","Laugesen, R.","Lopes, W.","Mager, S.","Markonis, Y.","Mediero, L.","Midgley, G.","Murphy, C.","O'Connor, P.","Pedersen, A.I.","Pham, H.T.","Piniewski, M.","Rachdane, M.","Renard, B.","Saidi, M.E.","Schmocker-Facker, P.","Stahl, K.","Thyler, M.","Toucher, M.","Tramblay, Y.","Uusikivi, J.","Venegas-Cordero, N.","Vissesri, S.","Watson, A.","Westra, S.","Whitfield, P.H."],"funder":["Natural Environment Research Council"],"givenName":["S.","J.","L.J.","G.","R.","A.","H.","M.T.D.","N.","C.","E.","B.","Y.","T.","H.X.","E.M.","A.K.","J.D.","A.B.T.","M.","G","D.G.","W.","S. ","L.","P.","A.I.","H.T.","M.E.","K.","P.H.","Stephen"],"grant":[" NE/X006247/1","NE/W004038/1"],"identifier":"3b077711-f183-42f1-bac6-c892922c81f4","incomingCitationCount":1,"keyword":["Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN)","Hydrology","Climate and climate change","stream flow","Reference Hydrological Network (RHN)","near-natural ","hydrometry"],"keywordsOther":["stream flow","Reference Hydrological Network (RHN)","near-natural ","hydrometry"],"keywordsProject":["Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN)"],"keywordsTheme":["Hydrology","Climate and climate change"],"licence":"Open government licence","lineage":"Data were provided by national measuring agencies following a selection process from their wider networks. Following submission of data and metadata to the ROBIN Network, a quality control process was conducted centrally to assess the quality and suitability of the station's inclusion in the dataset. Daily streamflow records were visually screened for change points, visually anomalous conditions indicating methodology changes or infilled data gaps and obvious errors in the data. Stations were removed if they showed signs of not having a sufficiently ‘near-natural' regime, and edits were made over datasets to remove obviously erroneous data periods.","locations":["POLYGON((-180 -90, -180 90, 180 90, 180 -90, -180 -90))"],"metadataDate":"2026-07-24T20:39:55.000Z","orcid":["0000-0001-8358-8775","0000-0002-5256-3310","0000-0002-2913-0664","0009-0007-5338-4756","0000-0001-8645-4561","0000-0002-7415-063X","0000-0002-6884-2808","0000-0002-5381-4863","0000-0001-8314-0735","0000-0003-4074-0866","0000-0003-3107-6019","0000-0002-8260-0397","0000-0002-7784-1313","0000-0002-5271-4350","0000-0001-9169-579X","0000-0001-6723-1303","0000-0001-9337-4367","0000-0002-0956-8255","0000-0002-6389-2822","0000-0001-6205-3341","0000-0001-8317-6711","0000-0002-4916-5565","0000-0001-5879-1464","0000-0003-4205-4181","0000-0002-6793-9640","0000-0001-6610-5874","0000-0003-0144-8969","0000-0002-9346-6592","0000-0003-4891-2650","0000-0002-7755-0831","0000-0001-7930-4549","0000-0001-7280-3951","0000-0001-8447-5430","0000-0001-8949-2547","0000-0003-4488-2052","0000-0002-2159-9441","0000-0003-4691-0715","0000-0003-0481-5330","0009-0000-5637-4069","0000-0002-0154-6529","0000-0001-5998-6933","0000-0003-4023-6061","0000-0001-6937-9459"],"organisation":["UK Centre for Ecology & Hydrology","Polytechnic University/CERNAS","University of Évora","Center for Climate and Resilience Research","University of Parakou","Swedish Meteorological and Hydrological Institute ","University of Tokyo","Gdansk University of Technology","Gaston Berger University","Badji Mokhtar - Annaba University","Swedish Meteorological and Hydrological Institute","Université Tunis El Manar","Czech Hydrometeorological Institute","Nong Lam University – Ho Chi Minh City","Tohoku University","Mohammed VI Polytechnic University","Norwegian Water Resources and Energy Directorate","Institute of Earth Science (IES), University of Évora","Pontificia Universidad Javeriana","University of Abobo-Adjamé","Czech University of Life Sciences Prague","United States Geological Survey","University of Canterbury, Christchurch","Swiss Federal Office for the Environment ","University of Otago, Dunedin","University of Natural Resources and Life Sciences, Vienna (BOKU)","Bureau of Meteorology, Canberra","National Water and Sanitation Agency (ANA)","University of Otago","Universidad Politécnica de Madrid","Stellenbosch University","Maynooth University","University of Danang","Warsaw University of Life Sciences","Cadi Ayyad University","Aix Marseille University","University of Freiburg","University of Adelaide","South African Environmental Observation Network","Research Institute for Development (IRD)","Finnish Environment Institute (SYKE) ","Chulalongkorn University","University of Saskatchewan","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/3b077711-f183-42f1-bac6-c892922c81f4","10.5285/3b077711-f183-42f1-bac6-c892922c81f4","doi:10.5285/3b077711-f183-42f1-bac6-c892922c81f4"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,386 gauging stations across the globe which have natural or near-natural…","state":"published","temporalExtentText":"Data collected from 1863 to 2022","title":"Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022","topic":["0/Hydrology/","0/Climate and climate change/"],"version":1.0,"view":["public","clwe","stetur"]},{"authorAffiliation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","UK Environment Agency","Agricultural University of Athens"],"authorFamilyName":["Ainsworth","Keller","Bachiller-Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"authorFullName":["Ainsworth, R.F.","Keller, V.","Bachiller-Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"authorGivenName":["R.F.","V.","N.","M.D.","M.","D","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"authorOrcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s (EA) National Fish Population Database (NFPD) between 1974 and 2017 and a dataset created by the University of Hull (UoH) between 1984 and 2017 inclusive. Biological data consists of density estimates of each fish species from each survey (per metre squared) and also the average length of specified species at the end of their first year of growth. Covariate data include habitat quality indicator (River Habitat Survey), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands. This dataset was created as larvae and juveniles may be particularly useful indicators and respond differently than older fish to environmental stressors.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S000100/2).","documentType":"GEMINI_DOCUMENT","familyName":["Ainsworth","Keller","Bachiller-Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"fullName":["Ainsworth, R.F.","Keller, V.","Bachiller-Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"funder":["Natural Environment Research Council"],"givenName":["R.F.","V.","N.","M.D.","M.","D","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"grant":["NE/S000100/2"],"identifier":"c904c5f0-7f21-4759-a7d4-c262da230b53","incomingCitationCount":0,"keyword":["England","Environmental survey","Water quality","pollution","hydrology","river","Larval fish","Juvenile fish","NFPD","Juvenile fish densities and pollution in English rivers","land use","Larval fish densities and pollution in English rivers","chemical","fish","Fish fry","land use change"],"keywordsOther":["pollution","hydrology","river","Larval fish","Juvenile fish","NFPD","Juvenile fish densities and pollution in English rivers","land use","Larval fish densities and pollution in English rivers","chemical","fish","Fish fry","land use change"],"keywordsPlace":["England"],"keywordsTheme":["Environmental survey","Water quality"],"licence":"Open government licence","lineage":"Fish Data\nJuvenile fish density data was collected from two sources: the EA NFPD \"Freshwater Fish Counts for all species for all Areas and all Years\" dataset (1974-2017) and the UoH fish count dataset (1984-2017). Fish counts were converted into densities (numbers per m-2) by dividing species counts by the sampling area (converted NFPD units from 100 m-2 to m-2 to match UoH data). To determine the mean length of juvenile fish (chub, roach, common bream, dace, bleak, gudgeon, minnow, and three-spined sticklebacks) at the end of the growing season (last surveys between August and October), length frequency histograms were created for each species and survey using R 4.2.1. Only individuals in their first year were considered in the calculation, providing the mean length of first-year fish at the end of the growing season for each survey. Species in the NFPD dataset were assigned Chempop Species Codes adapted from EA species codes, and when multiple EA species codes matched one Chempop Species Code, their densities were summed for each survey. Data without a Chempop species code (e.g., hybrids or broad categories like \"all species\") were removed, while surveys with zero fish captures were retained in the dataset.\n\nHabitat Quality indicators\nHabitat scores were obtained from the Environment Agency's River Habitat Survey (RHS) dataset, with ArcGIS used to link fish sites to their nearest RHS site. Two key scores were extracted: the Habitat Modification Score (HMS), which reflects the degree of artificial channel modification, and the Habitat Quality Assessment (HQA), which provides a broad assessment of habitat quality based on the diversity and abundance of natural features in the river channel and riparian zone. The HQA is suitable for comparing similar river types. To enable comparisons with data from 1994, new rules for flow-types and channel vegetation were established and applied across all sites, resulting in the HQA adjusted for 1994 data. The most recent RHS survey data was extracted for this analysis.\n\nLand Use\nLand use in the catchment upstream of fish sites (NFPD) were calculated from the UKCEH Land Cover Map 2015 (25m raster, GB). The 21 land cover types were grouped to cover four broad categories of: Woodland, Arable, Seminatural and Urban. The catchment tool in DataLabs was used to extract and process the data, which were summed into percentage and areas of each land use group. The sum of the percentages of the grouped categories were checked and were found to fall in the range of 99.96-100.04 %. \n\nWater Temperature\nTo assess its influence on fish growth, the cumulative annual degree-days ≥12 degC, indicating the total temperature sum for days exceeding 12 degC in the year prior to the survey date, was calculated. Water temperature data was sourced from the EA Surface Water Temperature Archive for sites with at least 3 years of records, and daily mean air temperature was collected from the Climate Hydrology and Ecology Research Support System (CHESS). The Baseflow Index for each water temperature gauging station and fish site was determined using the UKCEH National River Flow Archive. Generalized additive mix modeling (GAMM) was chosen to model water temperature, accounting for seasonal and year-to-year variation in water temperature, along with the nonlinear relationship between air and water temperature. Seven GAMM models, each covering a 0.1 BFI range, were developed, with the best model (Model: month, time, and air temperature, using ARMA structures) identified based on evaluation metrics like RMSE, NRMSE, and SI. This model was employed to estimate water temperature for fish sites.\n\nRiver Flow\nRiver flow data was sourced from the National River Flow Archive (NRFA) hosted by UKCEH and matched with fish sites based on the shortest distance along the river network. Data was extracted for the 12 months leading up to each fish survey, and various statistics were computed, including mean, median, standard deviation, coefficient of variation, Q5/mean, and Q95/mean. Additionally, threshold statistics were calculated for different percentiles (5, 25, 75, and 95), encompassing the threshold discharge value (estimated discharge quantile), days exceeded, number of exceedance events, and average event length.\n\nWater Quality-Effluent Dilution factor\nTo gauge river pollution levels across England, the study used the LowFlows2000-WQX (lowFlows2000 Water Quality eXtension) model, which characterizes wastewater discharge by wastewater treatment works (WWTWs) in terms of location, domestic population served, dry weather flow (DWF), and treatment type. It's important to note that only significant WWTWs were considered for computational purposes, based on specific criteria: those in catchments contributing to 95% of each hydrometric area and those accounting for 95% of the total discharged DWF to the estuary, ranked by DWF. The model produced predicted wastewater percentages for all reaches in the modelled river network, which is a truncated version of the 1:50,000 digital river network derived from the UK Ordnance Survey Panorama Data Set. To estimate the percentage of wastewater at each fish site, a python script was used to link each site to the nearest reach in the river network. The results are reported in terms of mean, standard deviation, 90th percentile, and 95th percentile, denoted as EDF_Mn, EDF_SD, EDF_Q90, and EDF_Q95, respectively.\n\nChemical Determinands\nChemical concentration data spanning 1960-2017, involving 41 determinands, was extracted from the UK's Environment Agency's Water Quality Data Archive. Fish sites were matched to the nearest chemical determinand site using specific criteria like site distance, sample count, and data collection timeframe through ArcGIS. To identify and exclude erroneous data, a threshold of 10 mg/l was set for some determinands, with values exceeding this threshold omitted from statistical calculations. Handling values below the Limit of Quantification (LoQ) involved three options: setting values to LoQ (LoQ1), setting them to 0 (LoQ2), or setting them to LoQ/2 (LoQ3). For the 12 months preceding the surveys at each fish site, various statistics were computed, including minimum, maximum, median, mean, standard deviation, total sample count, and counts of samples below and above the LoQ. Some sites had to be excluded from the final dataset due to licensing restrictions.\n\nAltitude\nElevation values for each fish site were extracted from the Integrated Hydrological Digital Terrain Model (IHDTM) using Arc GIS' Extract Multi Values to Points' tool. Two elevation values were calculated: Elevation values corresponding to the value of the IHDTM cell centre. Elevation values corresponding to an average value calculated from the adjacent cells with valid values using bilinear interpolation; NoData values were ignored in the interpolation unless all adjacent cells were NoData.\n\nClimate variables\nThe Gulf Stream Index (GSI) data spanning 1975-2017 was obtained from the Plymouth Marine Laboratory website (http://www.pml-gulfstream.org.uk/data.htm). Annual mean data were employed due to substantial month-to-month variability resulting from Gulf Stream meandering (Plymouth Marine Laboratory, 2019). Positive GSI values signify a northward shift from the long-term mean location, while negative values indicate a southward movement.\n\nData for the North Atlantic Oscillation Index (NAOI) spanning 1975-2017 was obtained from the National Centre for Atmospheric Research website (https://www.ncei.noaa.gov/access/monitoring/nao). The NAOI's winter (December-March) station-based index relies on the normalized sea level pressure (SLP) difference between Lisbon, Portugal, and Reykjavik, Iceland, dating back to 1864. Positive NAOI values indicate stronger westerlies over mid-latitudes, more intense North Atlantic weather systems, and wetter/milder conditions in Western Europe.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T14:03:40.000Z","orcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"organisation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","UK Environment Agency","Agricultural University of Athens","NERC EDS Environmental Information Data Centre","The University of Hull"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/c904c5f0-7f21-4759-a7d4-c262da230b53","10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53","doi:10.5285/c904c5f0-7f21-4759-a7d4-c262da230b53"],"resourceType":"Dataset","rightsHolder":["The University of Hull"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains monthly/annual time series of species-specific abundances and covariates for 137 targeted larval/juvenile fish surveys at sites in a range of English lowland rivers. Larval/juvenile fish data come from two different sources: The Environment Agency’s…","state":"published","temporalExtentText":"Data collected from 1984 to 2017","title":"Larval and juvenile fish abundance, habitat, water quality, flow and climate data from English rivers, 1984-2017","topic":["0/Environmental survey/","0/Water quality/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["University of Hull","Centre for Ecology & Hydrology","Bristol University"],"authorFamilyName":["Evans","Pocock","Brooks","Memmott"],"authorFullName":["Evans, D.M.","Pocock, M.J.O.","Brooks, J.","Memmott, J."],"authorGivenName":["D.M.","M.J.O.","J."],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/0524sp257"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Estimates of plant abundance (for leaf area, floral units and seed abundance, mass and energy) obtained from field-based sampling as part of a study of ecological interactions (food webs and plant-pollinator networks) on a single farm (Norwood Farm, Somerset, UK: 51.3128N 2.3206W) during 2007 and 2008. During the study, Norwood Farm was managed as an organic farm at relatively low intensity. The work was was supported by the Biotechnology and Biological Sciences Research Council [grant number BBD0156341]. ","documentType":"GEMINI_DOCUMENT","familyName":["Memmott","Evans","Pocock","Brooks"],"fullName":["Memmott, J.","Evans, D.M.","Pocock, M.J.O.","Brooks, J.","Pocock, M."],"givenName":["J.","D.M.","M.J.O.","M."],"identifier":"0c123d4e-186f-48f5-8580-d0696b247287","incomingCitationCount":1,"keyword":["Norwood Farm","Somerset","Plant","transect","leaf area index","organic","foodweb","network of networks","biomass","seed (biology)","flower","agriculture"],"keywordsOther":["Plant","transect","leaf area index","organic","foodweb","network of networks","biomass","seed (biology)","flower","agriculture"],"keywordsPlace":["Norwood Farm","Somerset"],"licence":"Open government licence","lineage":"Field surveys were conducted according to established protocols. Records made in the field for plant cover, height and counts of floral units, or samples containing seeds were collected for laboratory sorting and analysis. Data were entered into a purpose-designed database, via bespoke forms to support accuracy of data entry. Manipulations on the raw data (e.g. scaling up from sample size to total habitat area) were conducted in the database and data were checked for consistency of species names and data entry errors throughout the analysis undertaken as a contribution for peer-reviewed papers.","locations":["POLYGON((-2.33 51.301, -2.33 51.323, -2.31 51.323, -2.31 51.301, -2.33 51.301))"],"metadataDate":"2026-09-15T08:46:07.000Z","organisation":["Bristol University","University of Hull","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","University of Bristol","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-08-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1421744536350","CEH:EIDC::1421744536350","https://catalogue.ceh.ac.uk/id/0c123d4e-186f-48f5-8580-d0696b247287","10.5285/0c123d4e-186f-48f5-8580-d0696b247287","doi:10.5285/0c123d4e-186f-48f5-8580-d0696b247287"],"resourceType":"Dataset","rightsHolder":["University of Bristol"],"ror":["https://ror.org/0524sp257","https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Estimates of plant abundance (for leaf area, floral units and seed abundance, mass and energy) obtained from field-based sampling as part of a study of ecological interactions (food webs and plant-pollinator networks) on a single farm (Norwood Farm, Somerset, UK: 51.3128N…","state":"published","supplementalDescription":["Darren M. Evans, Michael J.O. Pocock, Joanna Brooks, Jane Memmott, Seeds in farmland food-webs: Resource importance, distribution and the impacts of farm management, In Biological Conservation, Volume 144, Issue 12, 2011, Pages 2941-2950, ISSN 0006-3207","Michael J.O. Pocock, Darren M. Evans, Jane Memmott, The impact of farm management on species-specific leaf area index (LAI): Farm-scale data and predictive models, In Agriculture, Ecosystems & Environment, Volume 135, Issue 4, 2010, Pages 279-287, ISSN 0167-8809","EVANS, D. M., MCLEOD, J. J., PASCOE, L. and MEMMOTT, J. (2009), The efficiency of a vacuum device for estimating soil-surface seed abundance on lowland farms. Weed Research, 49: 337-340. doi:10.1111/j.1365-3180.2009.00707.x"],"supplementalName":["NERC Open Research Archive record for journal paper to assist in use of data","Related data"],"temporalExtentText":"Data collected from 2007 to 2008","title":"Abundance of plant taxa on Norwood Farm, Somerset during 2007 and 2008","version":1.0,"view":["public","danor"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFullName":["UK Pollinator Monitoring Scheme"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This is version 2 of the dataset; the previous version contained some incorrect values for the summed totals of counted insect specimens, which have been corrected in this version.\n\nThis survey uses pan-traps positioned on transects within a randomly allocated set of 1 km squares in England, Scotland and Wales. The sample data contains information on the location of the traps, various environmental variables, and the total number of insect specimens collected. The occurrence data for insects contains records of all hoverflies and bees from the traps, identified (wherever possible) to species level. The occurrence data for flowers contains records of all forbs that are in flower within 2 metres of each pan-tap station. (In addition, Flower-Insect Timed Counts are carried out in the same 1 km squares, see separate dataset for these data.)\n\nThe UK Pollinator Monitoring Scheme is a partnership between the UK Centre for Ecology & Hydrology, Bumblebee Conservation Trust, Butterfly Conservation, British Trust for Ornithology, Hymettus, Natural History Museum, University of Reading and University of Leeds, working with the Bees, Wasps and Ants Recording Society, wider stakeholders and volunteer networks. PoMS in 2017-2020 has been jointly funded by Defra, the Welsh and Scottish Governments, JNCC and project partners.","documentType":"GEMINI_DOCUMENT","fullName":["UK Pollinator Monitoring Scheme"],"funder":["Natural Environment Research Council","Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs (DAERA, Northern Ireland)","Joint Nature Conservation Committee (JNCC)"],"grant":["NE/R016429/1"],"identifier":"2c43ba3c-d821-442c-989b-754451d72091","incomingCitationCount":0,"keyword":["Pollinators","Bees","Apidae","Floral resources","Hoverflies","Pan-traps","Syrphidae","Insects","Monitoring"],"keywordsOther":["Bees","Apidae","Floral resources","Hoverflies","Pan-traps","Syrphidae","Insects","Monitoring"],"keywordsTheme":["Pollinators"],"licence":"Open government licence","lineage":"Data is collected by PoMS volunteers and staff from up to 75 1 km squares, during four visits each summer, aiming for one visit in each month from May to August. There will be gaps in the data where a square cannot be visited during a particular year or month. At each visit, five pan-traps are positioned in a transect across the 1 km square, and left in position for approx. six hours. The insects trapped are returned to the PoMS laboratory, where all insects are sorted into main taxonomic groupings and counted, and all bees and hoverflies are passed to taxonomic experts for identification to species level where possible.\n\nData is entered using online forms that promote consistency in data formats. QA checks are carried out on any photos provided that show plants in flower in the vicinity of the pan-traps; bee and hoverfly identifications are cross-checked by multiple taxonomists for all rare and apparently out-of-range occurrences, plus a random sample of other occurrences.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:32:35.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre","Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs of Northern Ireland","Joint Nature Conservation Committee"],"publicationDate":"2022-11-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2c43ba3c-d821-442c-989b-754451d72091","10.5285/2c43ba3c-d821-442c-989b-754451d72091","doi:10.5285/2c43ba3c-d821-442c-989b-754451d72091"],"resourceType":"Dataset","rightsHolder":["Bumblebee Conservation Trust","Butterfly Conservation","British Trust for Ornithology","Hymettus","Natural History Museum","University of Reading","University of Leeds","Department for Environment Food and Rural Affairs","Welsh Government","Scottish Government","Department of Agriculture, Environment and Rural Affairs of Northern Ireland","Joint Nature Conservation Committee","UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193","https://ror.org/00wngta72","https://ror.org/05jg03a59","https://ror.org/03w54w620","https://ror.org/039zvsn29","https://ror.org/05v62cm79","https://ror.org/024mrxd33","https://ror.org/00tnppw48","https://ror.org/000wh6t45","https://ror.org/04v2xmd71","https://ror.org/01jksdf22","https://ror.org/05tzsrw37"],"shortenedDescription":"This dataset contains samples and occurrences of insects and flowers collected for the 1 km square survey of the UK Pollinator Monitoring Scheme (PoMS). It covers the years 2017 to 2020 (note that 2017 was a pilot year and has less data than subsequent years). This…","state":"published","supplementalName":["UK Pollinator Monitoring Scheme (PoMS)"],"temporalExtentText":"Data collected from 2017 to 2020","title":"Pan-trap survey data from the UK Pollinator Monitoring Scheme, 2017-2020 version 2","topic":["0/Pollinators/"],"version":2.0,"view":["public","clwe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Bangor University","CREA-SEL/DIBAF","CREAF-CSIC-UAB/CREAF","IBAF","MTA Centre for Ecological Research","University of Copenhagen","DIBAF","CREAF","University of Copenhagen/University of Bayreuth","University of Amsterdam","Purdue University"],"authorFamilyName":["Reinsch","Koller","Sowerby","de Dato","Estiarte","Guidolotti","Kovács-Láng","Kröel-Dula","Lellei-Kovács","Larsen","Liberati","Ogaya","Peñuelas","Ransijn","Robinson","Schmidt","Smith","Tietema","Dukes","Beier","Emmett"],"authorFullName":["Reinsch, S.","Koller, E.","Sowerby, A.","de Dato, G.","Estiarte, M.","Guidolotti, G.","Kovács-Láng, E.","Kröel-Dula, G.","Lellei-Kovács, E.","Larsen, K.S.","Liberati, D.","Ogaya, R.","Peñuelas, J.","Ransijn, J.","Robinson, D.A.","Schmidt, I.K.","Smith, A.R.","Tietema, A.","Dukes, J.S.","Beier, C.","Emmett, B.A."],"authorGivenName":["S.","E.","A.","G.","M.","G","K.S.","D.","R","J.","D.A.","I.K.","A.R.","J.S.","C.","B.A."],"authorOrcid":["0000-0003-4649-0677","0000-0001-7290-4867","0000-0002-2713-4389"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04bhfmv97","https://ror.org/035b05819","https://ror.org/03abrgd14","https://ror.org/04dkp9463"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"The data consists of annual measurements of standing aboveground plant biomass, annual aboveground net primary productivity and annual soil respiration between 1998 and 2012. Data were collected from seven European shrublands that were subject to the climate manipulations drought and warming. Sites were located in the United Kingdom (UK), the Netherlands (NL), Denmark ( two sites, DK-B and DK-M), Hungary (HU), Spain (SP) and Italy (IT). All field sites consisted of untreated control plots, plots where the plant canopy air is artificially warmed during night time hours, and plots where rainfall is excluded from the plots at least during the plants growing season.\n\nStanding aboveground plant biomass (grams biomass per square metre) was measured in two undisturbed areas within the plots using the pin-point method (UK, DK-M, DK-B), or along a transect (IT, SP, HU, NL). Aboveground net primary productivity was calculated from measurements of standing aboveground plant biomass estimates and litterfall measurements. Soil respiration was measured in pre-installed opaque soil collars bi-weekly, monthly, or in measurement campaigns (SP only). \n\nThe datasets provided are the basis for the data analysis presented in Reinsch et al. (2017) Shrubland primary production and soil respiration diverge along European climate gradient. Scientific Reports 7:43952 https://doi.org/10.1038/srep43952","documentType":"GEMINI_DOCUMENT","familyName":["Reinsch","Koller","Sowerby","de Dato","Estiarte","Guidolotti","Kovács-Láng","Kröel-Dula","Lellei-Kovács","Larsen","Liberati","Ogaya","Peñuelas","Ransijn","Robinson","Schmidt","Smith","Tietema","Dukes","Beier","Emmett"],"fullName":["Reinsch, S.","Koller, E.","Sowerby, A.","de Dato, G.","Estiarte, M.","Guidolotti, G.","Kovács-Láng, E.","Kröel-Dula, G.","Lellei-Kovács, E.","Larsen, K.S.","Liberati, D.","Ogaya, R.","Peñuelas, J.","Ransijn, J.","Robinson, D.A.","Schmidt, I.K.","Smith, A.R.","Tietema, A.","Dukes, J.S.","Beier, C.","Emmett, B.A."],"givenName":["S.","E.","A.","G.","M.","G","K.S.","D.","R","J.","D.A.","I.K.","A.R.","J.S.","C.","B.A.","Sabine"],"identifier":"b902e25a-ffec-446f-a270-03cc2501fe1d","incomingCitationCount":0,"keyword":["Pin-pint","INCREASE","Soil","climate gradient","Shrubland","climate experiment","climate change","drought","warming","soil","Soil respiration","standing biomass","aboveground primary productivity"],"keywordsInstrument":["Pin-pint"],"keywordsOther":["climate gradient","Shrubland","climate experiment","climate change","drought","warming","soil","Soil respiration","standing biomass","aboveground primary productivity"],"keywordsProject":["INCREASE"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Standing biomass was measured using the non-destructive pin-point method to assess aboveground biomass. Measurements were conducted at the state of peak biomass specific for each site. Litterfall was measured annually using litterfall traps. Litter collected in the traps was dried and the weight was measured. Aboveground biomass productivity was estimated as the difference between the measured standing biomass in year x minus the standing biomass measured the previous year. Soil respiration was measured bi-weekly or monthly, or in campaigns (Spain only). It was measured on permanently installed soil collars in treatment plots.\nThe Gaussen Index of Aridity (an index that combines information on rainfall and temperature) was calculated using mean annual precipitation, mean annual temperature. The reduction in precipitation and increase in temperature for each site was used to calculate the Gaussen Index for the climate treatments for each site.\n\nData of standing biomass and soil respiration was provided by the site responsible. Data from all sites were collated into one data file for data analysis. A summary data set was combined with information on the Gaussen Index of Aridity \nData were then exported from these Excel spreadsheet to .csv files for ingestion into the EIDC.\n","locations":["POLYGON((-7.902 37.134, -7.902 57.498, 22.86 57.498, 22.86 37.134, -7.902 37.134))"],"metadataDate":"2026-07-25T12:57:39.000Z","orcid":["0000-0003-4649-0677","0000-0001-7290-4867","0000-0002-2713-4389"],"organisation":["Centre for Ecology & Hydrology","Bangor University","CREA-SEL/DIBAF","CREAF-CSIC-UAB/CREAF","IBAF","MTA Centre for Ecological Research","University of Copenhagen","DIBAF","CREAF","University of Copenhagen/University of Bayreuth","University of Amsterdam","Purdue University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-09-21T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b902e25a-ffec-446f-a270-03cc2501fe1d","10.5285/b902e25a-ffec-446f-a270-03cc2501fe1d","doi:10.5285/b902e25a-ffec-446f-a270-03cc2501fe1d"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/006jb1a24","https://ror.org/04bhfmv97","https://ror.org/035b05819","https://ror.org/03abrgd14","https://ror.org/04dkp9463","https://ror.org/04xw4m193"],"shortenedDescription":"The data consists of annual measurements of standing aboveground plant biomass, annual aboveground net primary productivity and annual soil respiration between 1998 and 2012. Data were collected from seven European shrublands that were subject to the climate manipulations…","state":"published","temporalExtentText":"Data collected from 1998 to 2012","title":"Aboveground plant biomass and soil respiration for seven European shrublands under drought and warming manipulations (1998-2012)","topic":["0/Soil/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","Environment Agency","Agricultural University of Athens"],"authorFamilyName":["Ainsworth","Keller","Bachiller- Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"authorFullName":["Ainsworth, R.F.","Keller, V.","Bachiller- Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"authorGivenName":["R.F.","V.","Nuria","M.D.","M.","D.","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"authorOrcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"authorRor":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/03ykbk197","https://ror.org/01ch2yn61","https://ror.org/01zewfb16","https://ror.org/03xawq568"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017 inclusive were selected. Covariate data include habitat quality indicators (River Habitat Survey and HABSCORE outputs), climatic variables (Gulf Stream and North Atlantic Oscillation indices), land-use change, river hydrology, water temperature, effluent dilution factor and concentrations of chemical determinands.\n\nThe work was supported by the Natural Environment Research Council (Grant NE/S000100/2).","documentType":"GEMINI_DOCUMENT","familyName":["Ainsworth","Keller","Bachiller- Jareno","Jürgens","Eastman","Sadykova","Rizzo","Scarlett","Peirson","Eley","Antoniou","Cowx","Johnson","Nunn"],"fullName":["Ainsworth, R.F.","Keller, V.","Bachiller- Jareno, N.","Jürgens, M.D.","Eastman, M.","Sadykova, D.","Rizzo, C.","Scarlett, P.","Peirson, G.","Eley, F.","Antoniou, V.","Cowx, I.G.","Johnson, A.C.","Nunn, A.D."],"funder":["Natural Environment Research Council"],"givenName":["R.F.","V.","Nuria","M.D.","M.","D.","C.","P.","G. ","F.","I.G.","A.C.","A.D."],"grant":["NE/S000100/2"],"identifier":"b0afb78e-a0cb-4762-9220-659211ae3a5e","incomingCitationCount":0,"keyword":["Pollution","pollution","hydrology","river","NFPD","Freshwater fish","Juvenile fish densities and pollution in English rivers","fish","land-use change","land use","Larval fish densities and pollution in English rivers","Larval fish densities","Fish ecology"],"keywordsOther":["pollution","hydrology","river","NFPD","Freshwater fish","Juvenile fish densities and pollution in English rivers","fish","land-use change","land use","Larval fish densities and pollution in English rivers","Larval fish densities","Fish ecology"],"keywordsTheme":["Pollution"],"licence":"Open government licence","lineage":"Fish Data\nSpecies-specific abundances in English rivers were acquired from the Environment Agency's National Fish Population Database (NFPD), focusing on sites surveyed at least 10 times between 1975 and 2017. Raw fish counts were transformed into densities, with only semi-quantitative surveys (single catch) and the initial catch from quantitative surveys (multiple catch) considered. Qualitative surveys were excluded due to insufficient sampling information. Standard counts were available in the majority of cases. Abundance values were standardized by taking the midpoint of logarithmic ranges (e.g., 5, 55, 550, 5500) for different abundance categories. Densities were then calculated by dividing the standardized abundance by the sampling area and multiplying by 100 (units = 100 m-2). Species in the NFPD dataset were assigned Chempop Species Codes adapted from EA species codes, and when multiple EA species codes matched one Chempop Species Code, their densities were summed for each survey. Data without a Chempop species code (e.g., hybrids or broad categories like \"all species\") were removed, while surveys with zero fish captures were retained in the dataset.\n\nHabitat Quality indicators\nHabitat scores were obtained from the Environment Agency's River Habitat Survey (RHS) dataset, with ArcGIS used to link fish sites to their nearest RHS site. Two key scores were extracted: the Habitat Modification Score (HMS), which reflects the degree of artificial channel modification, and the Habitat Quality Assessment (HQA), which provides a broad assessment of habitat quality based on the diversity and abundance of natural features in the river channel and riparian zone. The HQA is suitable for comparing similar river types. To enable comparisons with data from 1994, new rules for flow-types and channel vegetation were established and applied across all sites, resulting in the HQA adjusted for 1994 data. The most recent RHS survey data was extracted for this analysis.\nHABSCORE is a method for evaluating Atlantic salmon (Salmo salar L.) and brown trout (Salmo trutta L.) habitat, generating a Habitat Quality Score (HQS) that quantifies habitat quality in terms of expected fish density at a site (100m-2). These assessments are conducted alongside salmonid surveys, but their frequency is generally lower, and the spatial coverage is dependent on the presence of salmon or trout. HABSCORE data, provided by the Environment Agency as Excel files, was extracted for relevant sites and survey dates, supplemented with historical HABSCORE data held by UoH for the same sites.\n\nLand Use\nLand use in the catchment upstream of fish sites (NFPD) were calculated from the Land Cover Map 2015 (25m raster, GB). The 21 land cover types were grouped to cover four broad categories of: Woodland, Arable, Seminatural and Urban. The catchment tool in DataLabs was used to extract and process the data, which were summed into percentage and areas of each land use group. The sum of the percentages of the grouped categories were checked and were found to fall in the range of 99.96-100.04 %. \n\nWater Temperature\nTo assess its influence on fish growth, the cumulative annual degree-days ≥12°C, indicating the total temperature sum for days exceeding 12°C in the year prior to the survey date, was calculated. Water temperature data was sourced from the EA Surface Water Temperature Archive for sites with at least 3 years of records, and daily mean air temperature was collected from the Climate Hydrology and Ecology Research Support System (CHESS). The Baseflow Index for each water temperature gauging station and fish site was determined using the UKCEH National River Flow Archive. Generalized additive mix modeling (GAMM) was chosen to model water temperature, accounting for seasonal and year-to-year variation in water temperature, along with the nonlinear relationship between air and water temperature. Seven GAMM models, each covering a 0.1 BFI range, were developed, with the best model (Model: month, time, and air temperature, using ARMA structures) identified based on evaluation metrics like RMSE, NRMSE, and SI. This model was employed to estimate water temperature for fish sites.\n\nRiver Flow\nRiver flow data was sourced from the National River Flow Archive (NRFA) hosted by UKCEH and matched with fish sites based on the shortest distance along the river network. Data was extracted for the 12 months leading up to each fish survey, and various statistics were computed, including mean, median, standard deviation, coefficient of variation, Q5/mean, and Q95/mean. Additionally, threshold statistics were calculated for different percentiles (5, 25, 75, and 95), encompassing the threshold discharge value (estimated discharge quantile), days exceeded, number of exceedance events, and average event length.\n\nWater Quality-Effluent dilution factor\nTo gauge river pollution levels across England, the study used the LowFlows2000-WQX (lowFlows2000 Water Quality eXtension) model, which characterizes wastewater discharge by wastewater treatment works (WWTWs) in terms of location, domestic population served, dry weather flow (DWF), and treatment type. It's important to note that only significant WWTWs were considered for computational purposes, based on specific criteria: those in catchments contributing to 95% of each hydrometric area and those accounting for 95% of the total discharged DWF to the estuary, ranked by DWF. The model produced predicted wastewater percentages for all reaches in the modelled river network, which is a truncated version of the 1:50,000 digital river network derived from the UK Ordnance Survey Panorama Data Set. To estimate the percentage of wastewater at each fish site, a python script was used to link each site to the nearest reach in the river network. The results are reported in terms of mean, standard deviation, 90th percentile, and 95th percentile, denoted as EDF_Mn, EDF_SD, EDF_Q90, and EDF_Q95, respectively.\n\nChemical Determinands\nChemical concentration data spanning 1960-2017, involving 41 determinands, was extracted from the UK's Environment Agency's Water Quality Data Archive. Fish sites were matched to the nearest chemical determinand site using specific criteria like site distance, sample count, and data collection timeframe through ArcGIS. To identify and exclude erroneous data, a threshold of 10 mg/l was set for some determinands, with values exceeding this threshold omitted from statistical calculations. Handling values below the Limit of Quantification (LoQ) involved three options: setting values to LoQ (LoQ1), setting them to 0 (LoQ2), or setting them to LoQ/2 (LoQ3). For the 12 months preceding the surveys at each fish site, various statistics were computed, including minimum, maximum, median, mean, standard deviation, total sample count, and counts of samples below and above the LoQ. Some sites had to be excluded from the final dataset due to licensing restrictions. \n\nAltitude\nElevation values for each fish site were extracted from the Integrated Hydrological Digital Terrain Model (IHDTM) using Arc GIS' Extract Multi Values to Points' tool. Two elevation values were calculated: Elevation values corresponding to the value of the IHDTM cell centre. Elevation values corresponding to an average value calculated from the adjacent cells with valid values using bilinear interpolation; NoData values were ignored in the interpolation unless all adjacent cells were NoData.\n\nClimate variables\nThe Gulf Stream Index (GSI) data spanning 1975-2017 was obtained from the Plymouth Marine Laboratory website (http://www.pml-gulfstream.org.uk/data.htm). Annual mean data were employed due to substantial month-to-month variability resulting from Gulf Stream meandering (Plymouth Marine Laboratory, 2019). Positive GSI values signify a northward shift from the long-term mean location, while negative values indicate a southward movement.\n\nData for the North Atlantic Oscillation Index (NAOI) spanning 1975-2017 was obtained from the National Centre for Atmospheric Research website (https://www.ncei.noaa.gov/access/monitoring/nao). The NAOI's winter (December-March) station-based index relies on the normalized sea level pressure (SLP) difference between Lisbon, Portugal, and Reykjavik, Iceland, dating back to 1864. Positive NAOI values indicate stronger westerlies over mid-latitudes, more intense North Atlantic weather systems, and wetter/milder conditions in Western Europe.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T12:53:23.000Z","orcid":["0000-0001-6669-0356","0000-0003-4489-5363","0000-0001-9732-6725","0000-0002-6526-589X","0000-0002-8212-5872","0000-0002-3930-5974","0000-0001-6242-8158","0000-0001-6011-4075","0000-0003-1570-3764","0000-0001-8370-1221"],"organisation":["University of Hull","UK Centre for Ecology & Hydrology","University of Portsmouth","Met Office","Wallingford HydroSolutions","Environment Agency","Agricultural University of Athens","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b0afb78e-a0cb-4762-9220-659211ae3a5e","10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e","doi:10.5285/b0afb78e-a0cb-4762-9220-659211ae3a5e"],"resourceType":"Dataset","rightsHolder":["University of Hull"],"ror":["https://ror.org/04nkhwh30","https://ror.org/00pggkr55","https://ror.org/03ykbk197","https://ror.org/01ch2yn61","https://ror.org/01zewfb16","https://ror.org/03xawq568","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a time series of species-specific fish abundances and covariates for 1180 fish sites in English rivers. Sites with at least ten annual fish surveys in the Environment Agency’s (EA) National Fish Population Database (NFPD) between 1975 and 2017…","state":"published","temporalExtentText":"Data collected from 1975 to 2017","title":"Fish abundance, habitat, water quality, flow and climate data from English rivers,1975-2017","topic":["0/Pollution/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Keith","Appleton","Pritchard","Eves","Tandy","Brentegani","Norris"],"authorFullName":["Keith, A.M.","Appleton, E.R.","Pritchard, L.","Eves, N.","Tandy, S.","Brentegani, M.","Norris, D."],"authorGivenName":["A.M. ","E.R. ","L.","N.","S.","M.","D."],"authorOrcid":["0000-0001-9619-1320","0000-0001-8665-7385","0009-0006-1452-7470","0009-0006-5600-0968","0000-0003-0662-0991","0000-0001-9426-7168","0000-0001-8298-555X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This data resource contains soil physico-chemical data from eight agricultural sites across the UK sampled during September 2022 and October 2022. For all sites, the data resource presents results for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, and total carbon and nitrogen content. Thermo-Gravimetric Analyses (TGA) was performed at one site due to atypically high values for total carbon content.\n\nThe soil samples were collected using a Split tube sampler. The soil samples were processed at UKCEH laboratories from September 2022 through to August 2023. Sample collection and analysis was performed by project staff.\n\nThe samples were taken to provide soil baseline data at the eight sites before the planting of perennial biomass crops.   \n\nThe project was funded by the Department for Energy Security & Net Zero (formally the Department for Business, Energy & Industrial Strategy (BEIS)) (Client reference - CEH-303).\n","documentType":"GEMINI_DOCUMENT","familyName":["Keith","Appleton","Pritchard","Eves","Tandy","Brentegani","Norris"],"fullName":["Keith, A.M.","Appleton, E.R.","Pritchard, L.","Eves, N.","Tandy, S.","Brentegani, M.","Norris, D."],"funder":["Department of Energy Security and Net Zero"],"givenName":["A.M. ","E.R. ","L.","N.","S.","M.","D.","A.M."],"identifier":"8c87a397-a010-48a4-8ca5-0f3742c2d857","incomingCitationCount":0,"keyword":["split tube sampler","Soil","perennial biomass crops","soil chemistry","soil carbon","grassland","arable land"],"keywordsInstrument":["split tube sampler"],"keywordsOther":["perennial biomass crops","soil chemistry","soil carbon","grassland","arable land"],"keywordsTheme":["Soil"],"licence":"Open government licence","lineage":"Soil sampling was undertaken at pre-determined locations across the sites covering the areas where different plots of perennial biomass crops were to be planted. At each sampling location, a soil sample was taken to 30 cm depth using a Split tube sampler and then split into 0 to 15 cm and 15 to 30 cm depth increments. Due to the nature of soil, these depths had to be adjusted for some sites; in particular, due to the stoniness of soils. \n\nAfter sampling the samples were placed in an insulated cool box and transported to UKCEH (UK Centre for Ecology & Hydrology) Lancaster as soon as possible. Samples were then stored at 4°C in a dark fridge at UKCEH Lancaster until processing started within two weeks of the collection date. \n\nStandardised procedures were followed to analyse the soils from all sites for a range of soil characteristics including, pH, soil moisture, stone content, bulk density, organic matter content, soil texture, total carbon and nitrogen content, moisture and Loss-on-Ignition (LOI), Soil texture at the laboratory at UKCEH Lancaster. Due to atypically high values for total carbon content at one site (Auchincruive) archived samples from the site were also analysed by Thermo-Gravimetric Analyses (TGA) by the laboratory at UKCEH Bangor.  \n\nResults from analyses were collated into Excel spreadsheets. Data were exported as comma separated value files for deposit into the Environmental Information Data Centre (EIDC)\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T08:41:48.000Z","orcid":["0000-0001-9619-1320","0000-0001-8665-7385","0009-0006-1452-7470","0009-0006-5600-0968","0000-0003-0662-0991","0000-0001-9426-7168","0000-0001-8298-555X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-14T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8c87a397-a010-48a4-8ca5-0f3742c2d857","10.5285/8c87a397-a010-48a4-8ca5-0f3742c2d857","doi:10.5285/8c87a397-a010-48a4-8ca5-0f3742c2d857"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This data resource contains soil physico-chemical data from eight agricultural sites across the UK sampled during September 2022 and October 2022. For all sites, the data resource presents results for a range of soil characteristics including, pH, soil moisture, stone…","state":"published","supplementalDescription":["Link to project website:"],"temporalExtentText":"Data collected from 2022 to 2022","title":"Soil physico-chemical properties from eight UK agricultural sites, 2022","topic":["0/Soil/"],"version":1.0,"view":["public","jenroe"]},{"authorAffiliation":["Centre for Ecology & Hydrology","Centre for Environmental Systems Research","University of Birmingham"],"authorFamilyName":["Laize","Acreman","Schneider","Dunbar","Houghton-Carr","Florke","Hannah"],"authorFullName":["Laize, C.L.R.","Acreman, M.C.","Schneider, C.","Dunbar, M.J.","Houghton-Carr, H.A.","Florke, M.","Hannah, D.M."],"authorGivenName":["C.L.R.","M.C.","C.","M.J.","H.A.","M.","D.M."],"authorOrcid":["0000-0002-7560-7769","0000-0002-8946-739X"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/03angcq70"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows for 1961 to 1990). Score classes are categorisation of flow alteration scenarios.","documentType":"GEMINI_DOCUMENT","familyName":["Laize","Acreman","Schneider","Dunbar","Houghton-Carr","Florke","Hannah"],"fullName":["Laize, C.L.R.","Acreman, M.C.","Schneider, C.","Dunbar, M.J.","Houghton-Carr, H.A.","Florke, M.","Hannah, D.M.","Laize, C."],"givenName":["C.L.R.","M.C.","C.","M.J.","H.A.","M.","D.M.","Cedric"],"identifier":"d8ef71eb-3d22-4f98-af15-9d8e046ccb63","incomingCitationCount":0,"keyword":["Europe","Climate and climate change","Hydrology","Modelling","streamflow","water","water levels","river flow"],"keywordsOther":["streamflow","water","water levels","river flow"],"keywordsPlace":["Europe"],"keywordsTheme":["Climate and climate change","Hydrology","Modelling"],"licence":"Non-Open government licence","lineage":"The river network was modelled as 33,668 cells (5° longitude; 5°latitude). For each cell, modelled monthly flows were generated for an ensemble of 10 scenarios for the 2050s and for the study baseline (naturalized flows for 1961-1990). These future scenarios consist of combinations of two climate scenarios and four socio-economic water-use scenarios (with a main driver of economy, policy, security or sustainability). Environmental flow implications are assessed using the new Ecological Risk due to Flow Alteration (ERFA) methodology, based on a set of monthly flow regime indicators (MFRIs). Differences in MFRIs between scenarios and baseline are calculated to derive ERFA classes (no, low, medium and high risk), which are based on the number of indicators significantly different from the baseline. ERFA classes are presented as colour-coded pan-European maps. Observed historical climate data for the reference period 1961-1990 were collated from the Climate Research Unit (University of East Anglia, UK). Projected future climate data for the period 2040-2069 (i.e. 2050s) were taken from two Global Circulation Models (GCMs): (i) IPSL-CM4, Institut Pierre Simon Laplace, France (IPCM4 thereafter); and (ii) MIROC3.2, Center for Climate System Research, University of Tokyo, Japan (MIMR thereafter). These two GCMs were chosen after comparing nine GCMs from the IPCC Fourth Assessment (IPCC, 2007); they were considered representative of the variability between GCMs (Bärlund, 2010). For both GCMs, the IPCC SRES A2 emission scenario (IPCC, 2007) was selected. In total, 11 sets of modelled monthly flow series were generated using different combinations of climate data inputs and socio-economic scenarios. Naturalized flows for 1961-1990 were generated by running WaterGAP with the hydrological component only (i.e. no water usage) and the historical climate data from CRU as input.","locations":["POLYGON((-6 35, -6 71, 29 71, 29 35, -6 35))"],"metadataDate":"2026-07-25T14:22:12.000Z","orcid":["0000-0002-7560-7769","0000-0002-8946-739X"],"organisation":["Centre for Ecology & Hydrology","Centre for Environmental Systems Research","University of Birmingham","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-04-30T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1386846758703","CEH:EIDC::1386846758703","https://catalogue.ceh.ac.uk/id/d8ef71eb-3d22-4f98-af15-9d8e046ccb63","10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63","doi:10.5285/d8ef71eb-3d22-4f98-af15-9d8e046ccb63"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/03angcq70","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains modelled outputs of the European river network modelled as 33,668 cells (5° longitude by 5° latitude). For each cell, modelled monthly flows were generated for an ensemble of tenscenarios for the 2050s and for the study baseline (naturalized flows…","state":"published","supplementalDescription":["Laizé, C.L.R., Acreman, M.C., Schneider, C., Dunbar, M.J., Houghton-Carr, H.A., Flörke, M., & Hannah, D.M. (2013). PROJECTED FLOW ALTERATION AND ECOLOGICAL RISK FOR PAN-EUROPEAN RIVERS. River Research and Applications, 30(3), 299–314"],"temporalExtentText":"Data collected from 1961 to 2050","title":"Ecological risk due to river flow alteration under climate and socioeconomic change scenarios","topic":["0/Climate and climate change/","0/Hydrology/","0/Modelling/"],"version":1.0,"view":["public","jone"]},{"authorAffiliation":["University of Leicester","University of Nottingham","University of Manchester","Specto Natura"],"authorFamilyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"authorFullName":["Cole, B.","De la Barreda, B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"authorGivenName":["B.","A.","T.","M.","L.","G.","H."],"authorOrcid":["0000-0002-3822-7302","0000-0001-5642-8215","0000-0001-5350-0736","0000-0002-9053-4684"],"authorRor":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset is the 2018 Corine Land Cover map, consisting of 44 classes in the hierarchical three level Corine nomenclature. \n\nCorine Land Cover (CLC) 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe.\n\n This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"fullName":["Cole, B.","De la Barreda, B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"givenName":["B.","A.","T.","M.","L.","G.","H."],"identifier":"084e0bc6-e67f-4dad-9de6-0c698f60e34d","incomingCitationCount":0,"keyword":["Land cover","Geospatial data","Copernicus","land cover","land use"],"keywordsOther":["Geospatial data","Copernicus","land cover","land use"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"CLC products are based in majority of EEA39 countries on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member and cooperating countries. This data covers the UK. All features in original vector database are delineated and classified on satellite images according to CLC specifications i.e. with better than 100 m positional accuracy and 25 ha minimum mapping unit (5 ha MMU for change layer) into the standardized CLC nomenclature (44 CLC classes). The change layer is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison.\nDetails of the QC are in the metadata. All areas were independently verified by a second interpreter. The quality of interpretation was checked by the European technical team.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:57:15.000Z","orcid":["0000-0002-3822-7302","0000-0001-5642-8215","0000-0001-5350-0736","0000-0002-9053-4684"],"organisation":["University of Leicester","University of Nottingham","University of Manchester","Specto Natura","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-06T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/084e0bc6-e67f-4dad-9de6-0c698f60e34d","10.5285/084e0bc6-e67f-4dad-9de6-0c698f60e34d","doi:10.5285/084e0bc6-e67f-4dad-9de6-0c698f60e34d"],"resourceType":"Dataset","rightsHolder":["University of Leicester"],"ror":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is the 2018 Corine Land Cover map, consisting of 44 classes in the hierarchical three level Corine nomenclature. \n\nCorine Land Cover (CLC) 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Corine land cover 2018 for the UK, Isle of Man, Jersey and Guernsey","topic":["0/Land cover/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Leicester","University of Nottingham","University of Manchester","Specto Natura"],"authorFamilyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"authorFullName":["Cole, B.","De la Barreda, D.L.B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"authorGivenName":["B. ","De la Barreda","A.","T.","M.","L.","G.","H."],"authorOrcid":["0000-0002-3822-7302","0000-0001-5642-8215","0000-0001-5350-0736","0000-0002-9053-4684"],"authorRor":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset is the Corine Land Cover (CLC) change map between 2012 and 2018, consisting of 44 classes in the hierarchical three level Corine nomenclature.\n\nThe Corine land cover changes between 2012 and 2018 for the UK, Isle of Man, Jersey and Guernsey dataset forms part of the Corine Land Cover Maps collection and is produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; this change map is the UK component of the European coverage. This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.","documentType":"GEMINI_DOCUMENT","familyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"fullName":["Cole, B.","De la Barreda, D.L.B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"givenName":["B. ","De la Barreda","A.","T.","M.","L.","G.","H."],"identifier":"027b6432-f44d-41ab-b349-89fae673d5f5","incomingCitationCount":1,"keyword":["Land cover","Mapping","Geospatial data","Copernicus","Corine","land cover","land use"],"keywordsOther":["Geospatial data","Copernicus","Corine","land cover","land use"],"keywordsTheme":["Land cover","Mapping"],"licence":"Open government licence","lineage":"CLC products are based in majority of EEA39 countries on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member and cooperating countries. This data covers the UK. All features in original vector database are delineated and classified on satellite images according to CLC specifications i.e. with better than 100 m positional accuracy and 25 ha minimum mapping unit (5 ha MMU for change layer) into the standardized CLC nomenclature (44 CLC classes). The change layer is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison.\n\nDetails of the QC are in the metadata. All areas were independently verified by a second interpreter. The quality of interpretation was checked by the European technical team.","locations":["POLYGON((-8.648 48.978, -8.648 60.861, 1.988 60.861, 1.988 48.978, -8.648 48.978))"],"metadataDate":"2026-07-24T18:52:30.000Z","orcid":["0000-0002-3822-7302","0000-0001-5642-8215","0000-0001-5350-0736","0000-0002-9053-4684"],"organisation":["University of Leicester","University of Nottingham","University of Manchester","Specto Natura","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-07-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/027b6432-f44d-41ab-b349-89fae673d5f5","10.5285/027b6432-f44d-41ab-b349-89fae673d5f5","doi:10.5285/027b6432-f44d-41ab-b349-89fae673d5f5"],"resourceType":"Dataset","rightsHolder":["University of Leicester"],"ror":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is the Corine Land Cover (CLC) change map between 2012 and 2018, consisting of 44 classes in the hierarchical three level Corine nomenclature.\n\nThe Corine land cover changes between 2012 and 2018 for the UK, Isle of Man, Jersey and Guernsey dataset forms…","state":"published","temporalExtentText":"Data collected from 2012 to 2018","title":"Corine land cover changes between 2012 and 2018 for the UK, Isle of Man, Jersey and Guernsey","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["The University of Leicester","University of Nottingham","University of Manchester","Specto Natura.","The University of Leicester."],"authorFamilyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"authorFullName":["Cole, B.","De la Barreda, B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"authorGivenName":["B.","A.","T.","M.","L.","G.","H."],"authorOrcid":["0000-0002-3822-7302","0000-0001-5642-8215","0000-0001-5350-0736","0000-0002-9053-4684"],"authorRor":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset is the 2012 revised Corine Land Cover (CLC) map, consisting of 44 classes in the hierarchical three level Corine nomenclature, produced during the CLC2018 production to improve the CLC2012 inventory. \n\nCLC 2018, CLC change 2012-2018 and CLC 2012 revised are three of the datasets produced within the frame of the Copernicus programme on land monitoring. Corine Land Cover (CLC) provides consistent information on land cover and land cover changes across Europe; these two maps are the UK component of Europe.\n\n This inventory was initiated in 1985 (reference year 1990) and established a time series of land cover information with updates in 2000, 2006 and 2012 being the last iteration. CLC products are based on photointerpretation of satellite images by national teams of participating countries – the EEA member and cooperating countries – following a standard methodology and nomenclature with the following base parameters: 44 classes in the hierarchical three level Corine nomenclature; minimum mapping unit (MMU) of status layers is 25 hectares; minimum width of linear elements is 100 metres; minimum mapping unit (MMU) for Land Cover Changes (LCC) for the change layers is 5 hectares. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. Land cover and land use (LCLU) information is important not only for land change research, but also more broadly for the monitoring of environmental change, policy support, the creation of environmental indicators and reporting. CLC datasets provide important datasets supporting the implementation of key priority areas of the Environment Action Programmes of the European Union as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive, among others. More information about the Corine Land Cover (CLC) and Copernicus land monitoring data in general can be found at http://land.copernicus.eu/.\n","documentType":"GEMINI_DOCUMENT","familyName":["Cole","De la Barreda","Hamer","Codd","Payne","Chan","Smith","Balzter"],"fullName":["Cole, B.","De la Barreda, B.","Hamer, A.","Codd, T.","Payne, M.","Chan, L.","Smith, G.","Balzter, H."],"givenName":["B.","A.","T.","M.","L.","G.","H."],"identifier":"9bb7caab-764d-407b-9a81-0d758722d900","incomingCitationCount":0,"keyword":["Land cover","Geospatial data","Copernicus","land use","land cover"],"keywordsOther":["Geospatial data","Copernicus","land use","land cover"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"CLC products are based in majority of EEA39 countries on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member and cooperating countries. This data covers the UK. All features in original vector database are delineated and classified on satellite images according to CLC specifications i.e. with better than 100 m positional accuracy and 25 ha minimum mapping unit (5 ha MMU for change layer) into the standardized CLC nomenclature (44 CLC classes). The change layer is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison.\n\nDetails of the QC are in the metadata. All areas were independently verified by a second interpreter. The quality of interpretation was checked by the European technical team.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T10:22:44.000Z","orcid":["0000-0002-3822-7302","0000-0001-5642-8215","0000-0001-5350-0736","0000-0002-9053-4684"],"organisation":["The University of Leicester","University of Nottingham","University of Manchester","Specto Natura.","The University of Leicester.","NERC EDS Environmental Information Data Centre","University of Leicester"],"publicationDate":"2021-09-08T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/9bb7caab-764d-407b-9a81-0d758722d900","10.5285/9bb7caab-764d-407b-9a81-0d758722d900","doi:10.5285/9bb7caab-764d-407b-9a81-0d758722d900"],"resourceType":"Dataset","rightsHolder":["University of Leicester"],"ror":["https://ror.org/04h699437","https://ror.org/01ee9ar58","https://ror.org/027m9bs27","https://ror.org/05wn3nd60","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset is the 2012 revised Corine Land Cover (CLC) map, consisting of 44 classes in the hierarchical three level Corine nomenclature, produced during the CLC2018 production to improve the CLC2012 inventory. \n\nCLC 2018, CLC change 2012-2018 and CLC 2012 revised…","state":"published","supplementalName":["More information about the Corine Land Cover (CLC) and Copernicus land monitoring data"],"temporalExtentText":"Data collected from 2012 to 2012","title":"Corine land cover 2012 (revised) for the UK, Isle of Man, Jersey and Guernsey","topic":["0/Land cover/"],"version":1.0,"view":["public","margla"]},{"authorAffiliation":["University of Edinburgh","Princeton University","University of the Witwatersrand","Instituto Federal do Espírito Santo","CSIR Forestry Research Institute of Ghana","Universidad Nacional de Loja","Universidad Federal de Roraima","Universidade Federal de Pernambuco","Fundación ConVida","Université de Montpellier","State University of Feira de Santana","The School for Field Studies","Universidade do Estado de Mato Grosso","Universidade Federal de Lavras","Universidad Autónoma del Beni","Museo de Historia Natural Noel Kempff Mercado","Instituto Kurâdomôdo Cultura Sustentável","Universidad Distrital Francisco José de Caldas","Weforest Zambia","Colby College","University of Leeds","The University of Western Australia","James Cook University","Universidade Estadual do Norte Fluminense","Jardim Botânico do Rio de Janeiro","Federal University of Juiz de Fora","Universidade Federal do Piauí","Namibia University of Science and Technology","University of Nairobi","Universidad Nacional de San Antonio Abad del Cusco","ROUGIER Groupe","Unidad de Recursos Naturales","Instituto Superior de Ciências da Educação da Huíla","Institut de l'Environnement et de Recherches Agricoles","Universidad Autónoma Metropolitana","Universidade Federal do Ceará","Federal University of Minas Gerais","Federal University of Campina Grande","University College London","Assistência Técnica e Extensão Rural (INCAPER)","Pondicherry University","Universidade de São Paulo","Duke University","Instituto de Pesquisas Ambientais","Universidade Federal Rural da Amazônia","Universidade Estadual de Montes Claros","Federal Universty of Lavras","University of Exeter","Universidade Federal de Minas Gerais","Royal Botanic Gardens, Kew","Universidade Federal de Jataí","CSIRO Tropical Forest Research Centre","Federal University of Lavras","Universidad Nacional de Tucumán- CONICET","Instituto Tecnológico Vale","Universidade Mandume Ya Ndemufayo","Universidad del Tolima","University of Nottingham","Royal Museum for Central Africa","Charles Darwin University","Fundación Jardín Botánico de Medellín","Université Marien Ngouabi","Instituto Nacional de Pesquisas da Amazônia","University for Development Studies","French Institute of Pondicherry","National Museums of Kenya","Unaffiliated","Kenya Forestry Research Institute","National Centre for Biological Sciences","Université de Toulouse","University of Yaoundé I","Instituto de Pesquisa Jardim Botânico do Rio de Janeiro","Federal University of Agreste of Pernambuco","Smithsonian  Conservation Biology Institute","Smurfit Westrock","Universidad Nacional de Santiago del Estero","University of Oxford","Universidade de Brasília","Polytechnic Institute of Kimpa Vita University","Federal University of Uberlândia","Instituto Bem Ambiental","Universidade Federal de Rondonópolis","University of Brasília","Trinity College Dublin","São Paulo State University","Brazilian Agricultural Research Corporation (Embrapa)","Zimbabwe Forestry Commission","Sokoine University of 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 Jülich","Texas A&M Transportation Institute","University of Maryland","South African National Parks","Manchester Metropolitan University","School for Field Studies","Universidade Federal do Amapá","Fundación Natura Colombia","Columbia University","Oregon State University","Wageningen University","Wildlife Conservation Society","Universidad del Sinú","Universidade Federal da Bahia","University of Sheffield"],"authorFamilyName":["Godlee","Harrison","Milodowski","Augustin","Staver","Archibald","Mograbi","Abreu","Adu-Bredu","Aguirre","Almanza J. ","Almeida","Álvarez-Dávila","Alves da Cruz","Ametsitsi","Anunciação","Apgaua","Aragão","Araújo","Araujo-Murakami","Arroyo Padilla","Arruda","Asiyabi","Avella","Banda","Becknell","Benitez","Bennett","Beringer","Bird","Bowers","Brade","Brienen","Broggio","Cabral","Cardoso","Carniello","Carvalho","Castro","De Cauwer","Chalo","Chama Moscoso","Chézeaux","Chi May","Chisingui","Compaore","Corona-Núñez","Costa","Coutinho","Cunha","Cuni-Sanchez","Dan","Dar","Davies","Diesse","Disney","Domingues","Donaldson","Dupuy-Rada","Durigan","Elias","Escobar-Alvarado","Espírito-Santo","Farrapo","Feldpausch","Fernandes","Ferreira","Fonseca","Ford","Françoso","Galbraith","Garcia","Gasparri","Gastauer","Gilpin","Gloor","Gonçalves","González-M.","Gotore","Gouvêa","Grace","Guilherme","Guimarães","Gutierrez-Sibauty","van der Heijden","Hernández-Stefanoni","Hubau","Hutley","Idárraga-Piedrahita","Ifo","Imbroisi","Ishida","Issifu","Kanda","Kathambi","Kemp","Kigomo","Killeen","Kulavmode","Kumar","Labrière","Lenza","Levesley","Lewis","Libalah","Lima","Linares-Palomino","Lopez","Loto","Lumbwe","Machado","Malhi","Manu","Marcelo-Peña","Mariano","Marimon","Marimon-Junior","Marques","Martins","Masinde","Mawunu","Mbuvi","McNicol","Medeiros-Sarmento","Meira-Junior","Melgaço","Melo","Menezes","Metzker","Mews","Miguel","Mitchard","Moonlight","Morandi","Morellato","Moura","Muchawona","Mugasha","Muledi","Muscarella","Mutondo","Naftal","Nascimento","Navarro-Rosales","Nelaballi","das Neves","Neves","Nieto-Quintano","Njoghomi","Nunes","Oliveira","Oliveira Silva","Oliveras Menor","Ongole","Palacios","Pandi","Parada","Parr","Parthasarathy","Pérez-Albarracín","Perez Aviles","Perez-Marin","Pickavance","Pinto","Pizano","Powers","Prestes","Queiroz","Quintana","Ramírez","Ramos","Ratnam","Rees","Reis","Restrepo","Reynel","Rezende","Ribeiro","Rocha","Rodrigues","Rodriguez","Rustiami","Saiz","Sampaio","Sankaran","Santos","Särkinen","Schwartz","Shutcha","Silva","Sonké","de Sousa Oliveira","Souza","Sposito","Steininger","Strydom","Sullivan","Tchamba","Teegalapalli","Tng","Toledo","Torres-Romero","Trethowan","Tun-Dzul","Uriarte","Utteridge","Valencia","Vanderlei","Vargas G.","Veenendaal","Vélez C","Veloso","Vieira","Vilanova","Villela","Wekesa","Wells","Zarza","Zuanny","Hegerl","Quegan","Williams","Sitch","Pennington","Baker","Phillips","Dexter","Ryan"],"authorFullName":["Godlee, J.L.","Harrison, S.B.","Milodowski, D.T.","Augustin, N.","Staver, A.C.","Archibald, S.","Mograbi, P.J.","Abreu, K.M.P.D.","Adu-Bredu, S.","Aguirre, Z.","Almanza J. , M.M.","Almeida, J.S.","Álvarez-Dávila, E.","Alves da Cruz, W.J.","Ametsitsi, G.K.D.","Anunciação, E.D.S.","Apgaua, D.M.G.","Aragão, J.S.","Araújo, F.C.","Araujo-Murakami, A.","Arroyo Padilla, L.","Arruda, C.R.D.","Asiyabi, R.M.","Avella, A.","Banda, S.","Becknell, J.M.","Benitez, L.M.","Bennett, A.C.","Beringer, J.","Bird, M.I.","Bowers, S.J.","Brade, T.K.","Brienen, R.","Broggio, I.S.B.","Cabral, G.A.D.L.","Cardoso, D.","Carniello, M.A.","Carvalho, F.A.","Castro, A.A.J.F.","De Cauwer, V.","Chalo, D.","Chama Moscoso, V.","Chézeaux, E.","Chi May, F.","Chisingui, A.V.","Compaore, H.","Corona-Núñez, R.O.","Costa, I.S.C.","Costa, M.B.R.","Coutinho, Í.A.C.","Cunha, J.","Cuni-Sanchez, A.","Dan, M.L.","Dar, A.A.","Davies, K.","Diesse, H.","Disney, M.I.","Domingues, T.F.","Donaldson, J.E.","Dupuy-Rada, J.M.","Durigan, G.","Elias, F.","Escobar-Alvarado, L.F.","Espírito-Santo, M.M.","Farrapo, C.L.","Feldpausch, T.R.","Fernandes, G.W.","Fernandes, M.F.","Ferreira, G.L.","Fonseca, A.P.M.","Ford, A.J.","Françoso, R.","Galbraith, D.R.","Garcia, Q.S.","Gasparri, N.I.","Gastauer, M.","Gilpin, M.","Gloor, 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."],"authorGivenName":["John L. ","Sam B. ","David T. ","Nicole ","A. Carla ","Sally ","Penelope J. ","Karla Maria Pedra de","Stephen","Zhofre ","Margarita M. ","Jarcilene S. ","Esteban ","Wesley Jonatar","George K. D.","Eliane da S. ","Deborah M. G. ","Janecleia S. ","Felipe C. ","Alejandro ","Luzmila ","Cleide R. de ","Reza M. ","Andrés ","Sara ","Justin M. ","Lorena M. ","Amy C. ","Jason ","Michael I. ","Samuel J. ","Thomas K. ","Roel ","Igor S. Broggio","George Andre De Lima ","Domingos ","Maria A. ","Fabrício Alvim ","Antonio Alberto Jorge Farias ","Vera ","Duncan ","Victor ","Eric ","Francisco ","António V. ","Halidou ","Rogelio O. ","Isabela S. C. ","Marcella B. R. ","Ítalo Antônio Cotta ","John ","Aida ","Maurício L. ","Ashaq Ahmad ","Kalu ","Hermane ","Mathias I. ","Tomas F. ","Jason E. ","Juan M. ","Giselda ","Fernando ","Luisa F. ","Mário M. ","Camila Laís ","Ted R. ","Geraldo Wilson ","Moabe F. ","Gustavo Luz ","Ana P.M.","Andrew J. ","Renata ","David R. ","Queila S. ","Nestor I. ","Markus ","Martin","Emanuel ","Francisco Maiato ","Roy ","Tatenda","Yuri F. ","Frederico A. G.","Karollyne Silva ","Gloria ","Geertje M. F.","J. Luis ","Wannes ","Lindsay B. ","Álvaro","Suspense A.  ","Reinaldo ","Francoise Yoko ","Hamza ","Naveen Babu ","Vivian ","Jeanette ","John Ngugi ","Timothy J. ","Amol R. ","Vijay S. ","Nicolas ","Eddie ","Aurora ","Simon ","Moses B. ","Haroldo C. ","José Romualdo S. ","Reynaldo ","Wilmar  Oviedo","Dante ","Fainess C. ","Deivid L. ","Yadvinder ","Emmanuel Amponsah  ","José Luis ","Elisvan Sousa","Beatriz S. ","Ben Hur","Antonia M. L. ","Matheus Santos ","Collins W. ","Monizi ","Musingo Tito E. ","Iain M. ","Priscila S. ","Milton S.","Karina ","Omar A. ","Rômulo S. C. ","Thiago ","Henrique A. ","Eder P. ","Edward T. A. ","Peter W. ","Paulo S. ","Leonor Patricia Cerdeira ","Magna Soelma Beserra de ","Anderson ","Wilson A. ","Jonathan Ilunga ","Robert ","Hinji ","Leena ","Marcelo Trindade ","Rodrigo O. do ","Swapna ","Eder C. ","Danilo M. ","Paula ","Elifuraha E. ","Yule R. F. ","Flavio Campos ","Rodrigo C.  ","Carla H. L. ","Edmar A. De Oliveira","Jhonathan ","Imma","Shasank ","Sonia C. ","Vivek ","Germaine A. ","Catherine L. ","Narayanaswamy ","Karen E.","Daniel","Aldrin Martin  ","Georgia C. ","José Roberto R. ","Camila ","Jennifer S. ","Nayane Cristina C. S. ","Luciano P. ","Catalina ","Hirma-Angulo","Desirée M. ","Jayashree ","Mathew ","Simone Matias ","Zorayda ","Carlos A. ","Alba Valéria ","Natasha S. ","Raphael R. ","Priscyla Maria Silva ","Gina M.M.","Himmah ","Gustavo ","Everardo V. S. B. ","Mahesh ","Mauro G. ","Rubens M. ","Tiina ","Naomi B. ","Mylor Ngoy ","Bruce Kelly N. ","Domingos Fortunato","Rodrigo Adversi ","Bonaventure ","Tony César ","Rodolfo ","Tereza C. ","Marc K. ","Tercia ","Martin J. P. ","José J. ","Karthik ","David Y. P.  ","Liam A. ","Fernando J. ","Maria ","Timothy M. A. ","Renato ","Renato S. ","German","Elmar ","Jorge A. ","Maria das Dores M. ","Fernando C. ","Ligia A. F. ","Emilio ","Dora M. ","Chemuku ","Lucy H. ","Débora ","Gabriele C. ","Shaun ","Stephen ","R. Toby ","Timothy R. ","Oliver L. ","Kyle G. ","Casey M. "],"authorOrcid":["0000-0001-5595-255X","0000-0003-3216-1530","0000-0002-8419-8506","0000-0001-6644-3742","0000-0002-2384-675X","0000-0003-2786-3976","0000-0001-8437-7021","0000-0002-2747-9758","0000-0001-7487-7911","0000-0002-6829-3028","0009-0001-3145-7041","0000-0002-7118-7090","0000-0001-9032-0099","0000-0001-5841-3471","0000-0002-5289-6684","0000-0002-0892-5716","0000-0002-6303-6989","0000-0002-8522-4673","0000-0003-0210-8763","0000-0001-6151-8995","0000-0003-2203-2882","0009-0008-9331-6819","0000-0002-0162-2376","0000-0002-1595-1154","0009-0008-5562-532X","0000-0003-2725-8215","0000-0002-6771-1806","0000-0001-9815-200X","0000-0002-4619-8361","0000-0003-1801-8703","0000-0001-5418-0359","0000-0002-5397-5755","0000-0002-9045-9135","0000-0002-9804-7231","0000-0001-7072-2656","0000-0002-7474-4227","0000-0001-7301-9448","0000-0002-2349-3843","0000-0003-3383-7758","0000-0002-8031-0927","0000-0002-4455-0157","0009-0009-9417-6851","0000-0002-5137-1448","0009-0008-0821-5408","0000-0002-1966-6377","0000-0002-9864-7640","0009-0004-6287-6275","0000-0002-3571-0243","0000-0002-1783-2343","0000-0001-8619-1095","0000-0002-1483-081X","0000-0002-7508-438X","0000-0002-8487-6725","0000-0003-3282-4058","0000-0002-2407-4026","0000-0003-2857-9838","0000-0001-9267-3293","0000-0001-7491-6837","0000-0003-0693-3154","0000-0001-9190-1733","0009-0007-4161-5051","0000-0001-8274-3075","0000-0003-3480-6646","0000-0002-6631-7962","0000-0003-1559-6049","0000-0002-2819-5730","0000-0001-9359-5645","0000-0002-6847-5411","0000-0002-6369-8317","0000-0002-5555-4823","0000-0002-7137-788X","0000-0001-8389-1379","0000-0002-9599-0902","0000-0002-8859-7491","0000-0002-4346-998X","0000-0003-2010-0642","0000-0002-7162-8458","0000-0001-8221-6996","0000-0002-5623-4127","0000-0002-2110-5173","0000-0002-9559-7131","0000-0003-3795-4986","0000-0001-5533-9886","0000-0002-4823-8849","0000-0003-3351-9987","0000-0002-7482-346X","0000-0002-3251-8192","0000-0003-4466-6157","0000-0001-8134-5024","0000-0002-6956-3173","0000-0002-4805-1988","0000-0002-2711-1646","0000-0001-9052-7428","0000-0002-8037-2001","0000-0001-9139-5949","0000-0002-7999-5519","0000-0002-8066-6851","0000-0001-8848-8001","0000-0003-2154-670X","0000-0003-2983-4650","0000-0002-7631-5549","0000-0001-5637-1546","0000-0002-9341-8486","0000-0002-0567-4288","0000-0002-3503-4783","0000-0002-0095-4643","0000-0003-3105-2914","0000-0002-6359-6281","0000-0002-6691-4724","0000-0003-1716-4354","0000-0003-4926-6718","0000-0001-6658-9223","0000-0001-9501-631X","0000-0003-3073-5668","0000-0002-5001-9573","0000-0003-2957-8132","0000-0002-2208-6613","0000-0001-5266-4966","0000-0001-8740-366X","0000-0003-3205-2887","0000-0002-7489-8197","0000-0001-6259-4594","0000-0002-5690-4055","0000-0003-4342-2089","0000-0001-8151-7738","0000-0001-5265-8988","0000-0002-2844-1399","0009-0007-9452-5957","0000-0002-9404-6629","0000-0002-4572-9351","0000-0003-3039-1076","0009-0007-1544-0112","0000-0002-0266-8501","0000-0003-4492-3344","0000-0003-4630-0095","0000-0003-1662-8751","0000-0002-7825-8584","0009-0006-6204-721X","0000-0002-0855-4169","0000-0001-8333-306X","0000-0002-7976-8228","0000-0003-3328-7506","0009-0002-3685-9741","0000-0003-4429-5296","0000-0003-0374-1640","0000-0002-6446-3376","0000-0001-9893-7501","0000-0001-5345-2236","0000-0001-6635-7027","0000-0063-0325-6047","0000-0002-5062-8934","0000-0003-1627-763X","0000-0002-4630-0856","0000-0001-9855-3284","0009-0005-9205-8799","0000-0003-2028-6176","0000-0003-4124-1348","0000-0003-3451-4803","0000-0001-8229-8231","0000-0001-7436-0939","0000-0003-4115-1705","0000-0001-6007-9978","0000-0002-3342-6708","0000-0002-6568-8374","0000-0002-6410-1260","0000-0003-2318-874X","0000-0002-3213-9985","0000-0002-6173-9023","0000-0002-1167-9798","0000-0002-5369-5905","0000-0002-2463-533X","0000-0003-4508-0131","0000-0002-8847-3157","0000-0002-2260-250X","0000-0001-7794-4403","0000-0002-4745-016X","0000-0002-1661-6542","0000-0001-5146-4591","0000-0002-4075-462X","0000-0002-6956-3093","0000-0002-3439-2888","0000-0003-3208-5443","0000-0002-1270-1336","0000-0001-6957-6700","0000-0002-5849-0386","0000-0002-4310-3603","0000-0001-6209-3829","0000-0001-7551-0505","0000-0002-9077-9446","0000-0002-5955-0483","0000-0002-3770-2482","0000-0003-1560-4715","0000-0001-5135-0922","0000-0002-1778-0117","0000-0001-7017-2922","0000-0002-0326-9828","0009-0003-2749-6843","0000-0002-0484-0758","0000-0003-2823-0337","0000-0001-9770-6568","0000-0003-0003-6049","0000-0003-1738-0014","0000-0001-8230-2501","0000-0002-2692-0249","0000-0001-6127-7976","0000-0001-6289-5127","0000-0002-3507-0186","0000-0003-1341-5507","0009-0001-6790-6523","0000-0002-5751-5107","0000-0001-6623-3788","0000-0002-4159-1295","0000-0003-4452-4829","0000-0001-6117-5208","0000-0003-1821-8561","0000-0002-8196-288X","0000-0002-3251-1679","0000-0002-8993-6168","0000-0001-9232-5221","0000-0002-1802-0128"],"authorRor":["https://ror.org/01nrxwf90","https://ror.org/00hx57361","https://ror.org/03rp50x72","https://ror.org/05rshs160","https://ror.org/027786x52","https://ror.org/03a5x6z77","https://ror.org/03ehp1h78","https://ror.org/047908t24","https://ror.org/051escj72","https://ror.org/04ygk5j35","https://ror.org/02cbymn47","https://ror.org/0122bmm03","https://ror.org/03ztnr397","https://ror.org/006y63v75","https://ror.org/02jsxd428","https://ror.org/01vrvwk03","https://ror.org/024mrxd33","https://ror.org/047272k79","https://ror.org/04gsp2c11","https://ror.org/00xb6aw94","https://ror.org/033xtdz52","https://ror.org/04yqw9c44","https://ror.org/00kwnx126","https://ror.org/03gg1ey66","https://ror.org/02y9nww90","https://ror.org/03gsd6w61","https://ror.org/00e1bj270","https://ror.org/018zj0h25","https://ror.org/02kta5139","https://ror.org/03srtnf24","https://ror.org/0176yjw32","https://ror.org/00eftnx64","https://ror.org/02jx3x895","https://ror.org/01a3mef16","https://ror.org/036rp1748","https://ror.org/00py81415","https://ror.org/02j71c790","https://ror.org/01hewbk46","https://ror.org/03yghzc09","https://ror.org/00ynnr806","https://ror.org/00cs91c30","https://ror.org/05wnasr61","https://ror.org/0573jvt10","https://ror.org/011bqgx84","https://ror.org/01ee9ar58","https://ror.org/001805t51","https://ror.org/048zcaj52","https://ror.org/02eczew70","https://ror.org/00tt5kf04","https://ror.org/01xe86309","https://ror.org/052nhnq73","https://ror.org/05kxcj202","https://ror.org/04sjpp691","https://ror.org/05hz2w230","https://ror.org/03gf8rp76","https://ror.org/01ahyrz84","https://ror.org/022zbs961","https://ror.org/03s3m1w94","https://ror.org/04hnzva96","https://ror.org/01v9p7c03","https://ror.org/052gg0110","https://ror.org/02xfp8v59","https://ror.org/04x3wvr31","https://ror.org/044wn2t24","https://ror.org/02tyrky19","https://ror.org/00987cb86","https://ror.org/0482b5b22","https://ror.org/00jdryp44","https://ror.org/01mn7k054","https://ror.org/048a87296","https://ror.org/02h7w3c75","https://ror.org/03s7bv520","https://ror.org/00devjr72","https://ror.org/00vr49948","https://ror.org/02xzytt36","https://ror.org/04xs57h96","https://ror.org/017zqws13","https://ror.org/04dercs88","https://ror.org/02t54e151","https://ror.org/02qztda51","https://ror.org/04pqpvr75","https://ror.org/05n8n9378","https://ror.org/02hmjzt55","https://ror.org/011q66e29","https://ror.org/0349vqz63","https://ror.org/03rmrcq20","https://ror.org/01mqvjv41","https://ror.org/02nv7yv05","https://ror.org/037adk771","https://ror.org/02hstj355","https://ror.org/02ewxar05","https://ror.org/031va9m79","https://ror.org/00hj8s172","https://ror.org/00ysfqy60","https://ror.org/04qw24q55","https://ror.org/01xnsst08","https://ror.org/013ys5k90","https://ror.org/03k3p7647","https://ror.org/05krs5044"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This 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. ","Almeida","Álvarez-Dávila","Alves da Cruz","Ametsitsi","Anunciação","Apgaua","Aragão","Araújo","Araujo-Murakami","Arroyo Padilla","Arruda","Asiyabi","Avella","Banda","Becknell","Benitez","Bennett","Beringer","Bird","Bowers","Brade","Brienen","Broggio","Cabral","Cardoso","Carniello","Carvalho","Castro","De Cauwer","Chalo","Chama Moscoso","Chézeaux","Chi May","Chisingui","Compaore","Corona-Núñez","Costa","Coutinho","Cunha","Cuni-Sanchez","Dan","Dar","Davies","Diesse","Disney","Domingues","Donaldson","Dupuy-Rada","Durigan","Elias","Escobar-Alvarado","Espírito-Santo","Farrapo","Feldpausch","Fernandes","Ferreira","Fonseca","Ford","Françoso","Galbraith","Garcia","Gasparri","Gastauer","Gilpin","Gloor","Gonçalves","González-M.","Gotore","Gouvêa","Grace","Guilherme","Guimarães","Gutierrez-Sibauty","van der Heijden","Hernández-Stefanoni","Hubau","Hutley","Idárraga-Piedrahita","Ifo","Imbroisi","Ishida","Issifu","Kanda","Kathambi","Kemp","Kigomo","Killeen","Kulavmode","Kumar","Labrière","Lenza","Levesley","Lewis","Libalah","Lima","Linares-Palomino","Lopez","Loto","Lumbwe","Machado","Malhi","Manu","Marcelo-Peña","Mariano","Marimon","Marimon-Junior","Marques","Martins","Masinde","Mawunu","Mbuvi","McNicol","Medeiros-Sarmento","Meira-Junior","Melgaço","Melo","Menezes","Metzker","Mews","Miguel","Mitchard","Moonlight","Morandi","Morellato","Moura","Muchawona","Mugasha","Muledi","Muscarella","Mutondo","Naftal","Nascimento","Navarro-Rosales","Nelaballi","das Neves","Neves","Nieto-Quintano","Njoghomi","Nunes","Oliveira","Oliveira Silva","Oliveras Menor","Ongole","Palacios","Pandi","Parada","Parr","Parthasarathy","Pérez-Albarracín","Perez Aviles","Perez-Marin","Pickavance","Pinto","Pizano","Powers","Prestes","Queiroz","Quintana","Ramírez","Ramos","Ratnam","Rees","Reis","Restrepo","Reynel","Rezende","Ribeiro","Rocha","Rodrigues","Rodriguez","Rustiami","Saiz","Sampaio","Sankaran","Santos","Särkinen","Schwartz","Shutcha","Silva","Sonké","de Sousa Oliveira","Souza","Sposito","Steininger","Strydom","Sullivan","Tchamba","Teegalapalli","Tng","Toledo","Torres-Romero","Trethowan","Tun-Dzul","Uriarte","Utteridge","Valencia","Vanderlei","Vargas G.","Veenendaal","Vélez C","Veloso","Vieira","Vilanova","Villela","Wekesa","Wells","Zarza","Zuanny","Hegerl","Quegan","Williams","Sitch","Pennington","Baker","Phillips","Dexter","Ryan"],"fullName":["Godlee, J.L.","Harrison, S.B.","Milodowski, D.T.","Augustin, N.","Staver, A.C.","Archibald, S.","Mograbi, P.J.","Abreu, K.M.P.D.","Adu-Bredu, S.","Aguirre, Z.","Almanza J. , M.M.","Almeida, J.S.","Álvarez-Dávila, E.","Alves da Cruz, W.J.","Ametsitsi, G.K.D.","Anunciação, E.D.S.","Apgaua, D.M.G.","Aragão, J.S.","Araújo, F.C.","Araujo-Murakami, A.","Arroyo Padilla, L.","Arruda, C.R.D.","Asiyabi, R.M.","Avella, A.","Banda, S.","Becknell, J.M.","Benitez, L.M.","Bennett, A.C.","Beringer, J.","Bird, M.I.","Bowers, S.J.","Brade, T.K.","Brienen, R.","Broggio, I.S.B.","Cabral, G.A.D.L.","Cardoso, D.","Carniello, M.A.","Carvalho, F.A.","Castro, A.A.J.F.","De Cauwer, V.","Chalo, D.","Chama Moscoso, V.","Chézeaux, E.","Chi May, F.","Chisingui, A.V.","Compaore, H.","Corona-Núñez, R.O.","Costa, I.S.C.","Costa, M.B.R.","Coutinho, Í.A.C.","Cunha, J.","Cuni-Sanchez, A.","Dan, M.L.","Dar, A.A.","Davies, K.","Diesse, H.","Disney, M.I.","Domingues, T.F.","Donaldson, J.E.","Dupuy-Rada, J.M.","Durigan, G.","Elias, F.","Escobar-Alvarado, L.F.","Espírito-Santo, M.M.","Farrapo, C.L.","Feldpausch, T.R.","Fernandes, G.W.","Fernandes, M.F.","Ferreira, G.L.","Fonseca, A.P.M.","Ford, A.J.","Françoso, R.","Galbraith, D.R.","Garcia, Q.S.","Gasparri, N.I.","Gastauer, M.","Gilpin, M.","Gloor, 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. ","Sam B. ","David T. ","Nicole ","A. Carla ","Sally ","Penelope J. ","Karla Maria Pedra de","Stephen","Zhofre ","Margarita M. ","Jarcilene S. ","Esteban ","Wesley Jonatar","George K. D.","Eliane da S. ","Deborah M. G. ","Janecleia S. ","Felipe C. ","Alejandro ","Luzmila ","Cleide R. de ","Reza M. ","Andrés ","Sara ","Justin M. ","Lorena M. ","Amy C. ","Jason ","Michael I. ","Samuel J. ","Thomas K. ","Roel ","Igor S. Broggio","George Andre De Lima ","Domingos ","Maria A. ","Fabrício Alvim ","Antonio Alberto Jorge Farias ","Vera ","Duncan ","Victor ","Eric ","Francisco ","António V. ","Halidou ","Rogelio O. ","Isabela S. C. ","Marcella B. R. ","Ítalo Antônio Cotta ","John ","Aida ","Maurício L. ","Ashaq Ahmad ","Kalu ","Hermane ","Mathias I. ","Tomas F. ","Jason E. ","Juan M. ","Giselda ","Fernando ","Luisa F. ","Mário M. ","Camila Laís ","Ted R. ","Geraldo Wilson ","Moabe F. ","Gustavo Luz ","Ana P.M.","Andrew J. ","Renata ","David R. ","Queila S. ","Nestor I. ","Markus ","Martin","Emanuel ","Francisco Maiato ","Roy ","Tatenda","Yuri F. ","Frederico A. G.","Karollyne Silva ","Gloria ","Geertje M. F.","J. Luis ","Wannes ","Lindsay B. ","Álvaro","Suspense A.  ","Reinaldo ","Francoise Yoko ","Hamza ","Naveen Babu ","Vivian ","Jeanette ","John Ngugi ","Timothy J. ","Amol R. ","Vijay S. ","Nicolas ","Eddie ","Aurora ","Simon ","Moses B. ","Haroldo C. ","José Romualdo S. ","Reynaldo ","Wilmar  Oviedo","Dante ","Fainess C. ","Deivid L. ","Yadvinder ","Emmanuel Amponsah  ","José Luis ","Elisvan Sousa","Beatriz S. ","Ben Hur","Antonia M. L. ","Matheus Santos ","Collins W. ","Monizi ","Musingo Tito E. ","Iain M. ","Priscila S. ","Milton S.","Karina ","Omar A. ","Rômulo S. C. ","Thiago ","Henrique A. ","Eder P. ","Edward T. A. ","Peter W. ","Paulo S. ","Leonor Patricia Cerdeira ","Magna Soelma Beserra de ","Anderson ","Wilson A. ","Jonathan Ilunga ","Robert ","Hinji ","Leena ","Marcelo Trindade ","Rodrigo O. do ","Swapna ","Eder C. ","Danilo M. ","Paula ","Elifuraha E. ","Yule R. F. ","Flavio Campos ","Rodrigo C.  ","Carla H. L. ","Edmar A. De Oliveira","Jhonathan ","Imma","Shasank ","Sonia C. ","Vivek ","Germaine A. ","Catherine L. ","Narayanaswamy ","Karen E.","Daniel","Aldrin Martin  ","Georgia C. ","José Roberto R. ","Camila ","Jennifer S. ","Nayane Cristina C. S. ","Luciano P. ","Catalina ","Hirma-Angulo","Desirée M. ","Jayashree ","Mathew ","Simone Matias ","Zorayda ","Carlos A. ","Alba Valéria ","Natasha S. ","Raphael R. ","Priscyla Maria Silva ","Gina M.M.","Himmah ","Gustavo ","Everardo V. S. B. ","Mahesh ","Mauro G. ","Rubens M. ","Tiina ","Naomi B. ","Mylor Ngoy ","Bruce Kelly N. ","Domingos Fortunato","Rodrigo Adversi ","Bonaventure ","Tony César ","Rodolfo ","Tereza C. ","Marc K. ","Tercia ","Martin J. P. ","José J. ","Karthik ","David Y. P.  ","Liam A. ","Fernando J. ","Maria ","Timothy M. A. ","Renato ","Renato S. ","German","Elmar ","Jorge A. ","Maria das Dores M. ","Fernando C. ","Ligia A. F. ","Emilio ","Dora M. ","Chemuku ","Lucy H. ","Débora ","Gabriele C. ","Shaun ","Stephen ","R. Toby ","Timothy R. ","Oliver L. ","Kyle G. ","Casey M. ","Sam"],"grant":["NE/T01279X/1"],"identifier":"b5486372-a0f2-4cd5-b017-0916418ad2ce","incomingCitationCount":0,"keyword":["Land cover","Land use","Mapping","above-ground biomass growth","above-ground tree biomass","carbon","carbon cycle","savanna","tropical dry forest"],"keywordsOther":["above-ground biomass growth","above-ground tree biomass","carbon","carbon cycle","savanna","tropical dry forest"],"keywordsTheme":["Land cover","Land use","Mapping"],"licence":"Open government licence","lineage":"This product was generated by upscaling plot‑observed changes in above‑ground woody carbon to the intact tropical savanna and dry forest biome, then propagating those changes to other ecosystem carbon pools. Field data come from a network of 424 permanent plots (2000-2024) established in seasonally dry forests and savannas, where stems were re‑measured through time using standard forestry methods (e.g. diameter tapes for DBH at 1.3 m, species identification, GPS for plot locations). Plot protocols included consistency checks on stem re‑measurement, and harmonisation of minimum DBH thresholds. Aboveground woody biomass was estimated from stem measurements using a dry‑tropics specific allometry and species‑level wood density, converted to carbon with a fixed carbon fraction. Plot‑level uncertainty was quantified via Monte Carlo propagation of measurement and model uncertainties.","locations":["POLYGON((-110 -35, -110 23.5, 154 23.5, 154 -35, -110 -35))"],"metadataDate":"2026-09-29T13:30:06.000Z","orcid":["0000-0001-5595-255X","0000-0003-3216-1530","0000-0002-8419-8506","0000-0001-6644-3742","0000-0002-2384-675X","0000-0003-2786-3976","0000-0001-8437-7021","0000-0002-2747-9758","0000-0001-7487-7911","0000-0002-6829-3028","0009-0001-3145-7041","0000-0002-7118-7090","0000-0001-9032-0099","0000-0001-5841-3471","0000-0002-5289-6684","0000-0002-0892-5716","0000-0002-6303-6989","0000-0002-8522-4673","0000-0003-0210-8763","0000-0001-6151-8995","0000-0003-2203-2882","0009-0008-9331-6819","0000-0002-0162-2376","0000-0002-1595-1154","0009-0008-5562-532X","0000-0003-2725-8215","0000-0002-6771-1806","0000-0001-9815-200X","0000-0002-4619-8361","0000-0003-1801-8703","0000-0001-5418-0359","0000-0002-5397-5755","0000-0002-9045-9135","0000-0002-9804-7231","0000-0001-7072-2656","0000-0002-7474-4227","0000-0001-7301-9448","0000-0002-2349-3843","0000-0003-3383-7758","0000-0002-8031-0927","0000-0002-4455-0157","0009-0009-9417-6851","0000-0002-5137-1448","0009-0008-0821-5408","0000-0002-1966-6377","0000-0002-9864-7640","0009-0004-6287-6275","0000-0002-3571-0243","0000-0002-1783-2343","0000-0001-8619-1095","0000-0002-1483-081X","0000-0002-7508-438X","0000-0002-8487-6725","0000-0003-3282-4058","0000-0002-2407-4026","0000-0003-2857-9838","0000-0001-9267-3293","0000-0001-7491-6837","0000-0003-0693-3154","0000-0001-9190-1733","0009-0007-4161-5051","0000-0001-8274-3075","0000-0003-3480-6646","0000-0002-6631-7962","0000-0003-1559-6049","0000-0002-2819-5730","0000-0001-9359-5645","0000-0002-6847-5411","0000-0002-6369-8317","0000-0002-5555-4823","0000-0002-7137-788X","0000-0001-8389-1379","0000-0002-9599-0902","0000-0002-8859-7491","0000-0002-4346-998X","0000-0003-2010-0642","0000-0002-7162-8458","0000-0001-8221-6996","0000-0002-5623-4127","0000-0002-2110-5173","0000-0002-9559-7131","0000-0003-3795-4986","0000-0001-5533-9886","0000-0002-4823-8849","0000-0003-3351-9987","0000-0002-7482-346X","0000-0002-3251-8192","0000-0003-4466-6157","0000-0001-8134-5024","0000-0002-6956-3173","0000-0002-4805-1988","0000-0002-2711-1646","0000-0001-9052-7428","0000-0002-8037-2001","0000-0001-9139-5949","0000-0002-7999-5519","0000-0002-8066-6851","0000-0001-8848-8001","0000-0003-2154-670X","0000-0003-2983-4650","0000-0002-7631-5549","0000-0001-5637-1546","0000-0002-9341-8486","0000-0002-0567-4288","0000-0002-3503-4783","0000-0002-0095-4643","0000-0003-3105-2914","0000-0002-6359-6281","0000-0002-6691-4724","0000-0003-1716-4354","0000-0003-4926-6718","0000-0001-6658-9223","0000-0001-9501-631X","0000-0003-3073-5668","0000-0002-5001-9573","0000-0003-2957-8132","0000-0002-2208-6613","0000-0001-5266-4966","0000-0001-8740-366X","0000-0003-3205-2887","0000-0002-7489-8197","0000-0001-6259-4594","0000-0002-5690-4055","0000-0003-4342-2089","0000-0001-8151-7738","0000-0001-5265-8988","0000-0002-2844-1399","0009-0007-9452-5957","0000-0002-9404-6629","0000-0002-4572-9351","0000-0003-3039-1076","0009-0007-1544-0112","0000-0002-0266-8501","0000-0003-4492-3344","0000-0003-4630-0095","0000-0003-1662-8751","0000-0002-7825-8584","0009-0006-6204-721X","0000-0002-0855-4169","0000-0001-8333-306X","0000-0002-7976-8228","0000-0003-3328-7506","0009-0002-3685-9741","0000-0003-4429-5296","0000-0003-0374-1640","0000-0002-6446-3376","0000-0001-9893-7501","0000-0001-5345-2236","0000-0001-6635-7027","0000-0063-0325-6047","0000-0002-5062-8934","0000-0003-1627-763X","0000-0002-4630-0856","0000-0001-9855-3284","0009-0005-9205-8799","0000-0003-2028-6176","0000-0003-4124-1348","0000-0003-3451-4803","0000-0001-8229-8231","0000-0001-7436-0939","0000-0003-4115-1705","0000-0001-6007-9978","0000-0002-3342-6708","0000-0002-6568-8374","0000-0002-6410-1260","0000-0003-2318-874X","0000-0002-3213-9985","0000-0002-6173-9023","0000-0002-1167-9798","0000-0002-5369-5905","0000-0002-2463-533X","0000-0003-4508-0131","0000-0002-8847-3157","0000-0002-2260-250X","0000-0001-7794-4403","0000-0002-4745-016X","0000-0002-1661-6542","0000-0001-5146-4591","0000-0002-4075-462X","0000-0002-6956-3093","0000-0002-3439-2888","0000-0003-3208-5443","0000-0002-1270-1336","0000-0001-6957-6700","0000-0002-5849-0386","0000-0002-4310-3603","0000-0001-6209-3829","0000-0001-7551-0505","0000-0002-9077-9446","0000-0002-5955-0483","0000-0002-3770-2482","0000-0003-1560-4715","0000-0001-5135-0922","0000-0002-1778-0117","0000-0001-7017-2922","0000-0002-0326-9828","0009-0003-2749-6843","0000-0002-0484-0758","0000-0003-2823-0337","0000-0001-9770-6568","0000-0003-0003-6049","0000-0003-1738-0014","0000-0001-8230-2501","0000-0002-2692-0249","0000-0001-6127-7976","0000-0001-6289-5127","0000-0002-3507-0186","0000-0003-1341-5507","0009-0001-6790-6523","0000-0002-5751-5107","0000-0001-6623-3788","0000-0002-4159-1295","0000-0003-4452-4829","0000-0001-6117-5208","0000-0003-1821-8561","0000-0002-8196-288X","0000-0002-3251-1679","0000-0002-8993-6168","0000-0001-9232-5221","0000-0002-1802-0128"],"organisation":["University of Edinburgh","Princeton University","University of the Witwatersrand","Instituto Federal do Espírito Santo","CSIR Forestry Research Institute of Ghana","Universidad Nacional de Loja","Universidad Federal de Roraima","Universidade Federal de Pernambuco","Fundación ConVida","Université de Montpellier","State University of Feira de Santana","The School for Field Studies","Universidade do Estado de Mato Grosso","Universidade Federal de Lavras","Universidad Autónoma del Beni","Museo de Historia Natural Noel Kempff Mercado","Instituto Kurâdomôdo Cultura Sustentável","Universidad Distrital Francisco José de Caldas","Weforest Zambia","Colby College","University of Leeds","The University of Western Australia","James Cook University","Universidade Estadual do Norte Fluminense","Jardim Botânico do Rio de Janeiro","Federal University of Juiz de Fora","Universidade Federal do Piauí","Namibia University of Science and Technology","University of Nairobi","Universidad Nacional de San Antonio Abad del Cusco","ROUGIER Groupe","Unidad de Recursos Naturales","Instituto Superior de Ciências da Educação da Huíla","Institut de l'Environnement et de Recherches Agricoles","Universidad Autónoma Metropolitana","Universidade Federal do Ceará","Federal University of Minas Gerais","Federal University of Campina Grande","University College London","Assistência Técnica e Extensão Rural (INCAPER)","Pondicherry University","Universidade de São Paulo","Duke University","Instituto de Pesquisas Ambientais","Universidade Federal Rural da Amazônia","Universidade Estadual de Montes Claros","Federal Universty of Lavras","University of Exeter","Universidade Federal de Minas Gerais","Royal Botanic Gardens, Kew","Universidade Federal de Jataí","CSIRO Tropical Forest Research Centre","Federal University of Lavras","Universidad Nacional de Tucumán- CONICET","Instituto Tecnológico Vale","Universidade Mandume Ya Ndemufayo","Universidad del Tolima","University of Nottingham","Royal Museum for Central Africa","Charles Darwin University","Fundación Jardín Botánico de Medellín","Université Marien Ngouabi","Instituto Nacional de Pesquisas da Amazônia","University for Development Studies","French Institute of Pondicherry","National Museums of Kenya","Unaffiliated","Kenya Forestry Research Institute","National Centre for Biological Sciences","Université de Toulouse","University of Yaoundé I","Instituto de Pesquisa Jardim Botânico do Rio de Janeiro","Federal University of Agreste of Pernambuco","Smithsonian  Conservation Biology Institute","Smurfit Westrock","Universidad Nacional de Santiago del Estero","University of Oxford","Universidade de Brasília","Polytechnic Institute of Kimpa Vita University","Federal University of Uberlândia","Instituto Bem Ambiental","Universidade Federal de Rondonópolis","University of Brasília","Trinity College Dublin","São Paulo State University","Brazilian Agricultural Research Corporation (Embrapa)","Zimbabwe Forestry Commission","Sokoine University of 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 Jülich","Texas A&M Transportation Institute","University of Maryland","South African National Parks","Manchester Metropolitan University","School for Field Studies","Universidade Federal do Amapá","Fundación Natura Colombia","Columbia University","Oregon State University","Wageningen University","Wildlife Conservation Society","Universidad del Sinú","Universidade Federal da Bahia","University of Sheffield","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-09-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b5486372-a0f2-4cd5-b017-0916418ad2ce","10.5285/b5486372-a0f2-4cd5-b017-0916418ad2ce","doi:10.5285/b5486372-a0f2-4cd5-b017-0916418ad2ce"],"resourceType":"Dataset","rightsHolder":["University of Edinburgh"],"ror":["https://ror.org/01nrxwf90","https://ror.org/00hx57361","https://ror.org/03rp50x72","https://ror.org/05rshs160","https://ror.org/027786x52","https://ror.org/03a5x6z77","https://ror.org/03ehp1h78","https://ror.org/047908t24","https://ror.org/051escj72","https://ror.org/04ygk5j35","https://ror.org/02cbymn47","https://ror.org/0122bmm03","https://ror.org/03ztnr397","https://ror.org/006y63v75","https://ror.org/02jsxd428","https://ror.org/01vrvwk03","https://ror.org/024mrxd33","https://ror.org/047272k79","https://ror.org/04gsp2c11","https://ror.org/00xb6aw94","https://ror.org/033xtdz52","https://ror.org/04yqw9c44","https://ror.org/00kwnx126","https://ror.org/03gg1ey66","https://ror.org/02y9nww90","https://ror.org/03gsd6w61","https://ror.org/00e1bj270","https://ror.org/018zj0h25","https://ror.org/02kta5139","https://ror.org/03srtnf24","https://ror.org/0176yjw32","https://ror.org/00eftnx64","https://ror.org/02jx3x895","https://ror.org/01a3mef16","https://ror.org/036rp1748","https://ror.org/00py81415","https://ror.org/02j71c790","https://ror.org/01hewbk46","https://ror.org/03yghzc09","https://ror.org/00ynnr806","https://ror.org/00cs91c30","https://ror.org/05wnasr61","https://ror.org/0573jvt10","https://ror.org/011bqgx84","https://ror.org/01ee9ar58","https://ror.org/001805t51","https://ror.org/048zcaj52","https://ror.org/02eczew70","https://ror.org/00tt5kf04","https://ror.org/01xe86309","https://ror.org/052nhnq73","https://ror.org/05kxcj202","https://ror.org/04sjpp691","https://ror.org/05hz2w230","https://ror.org/03gf8rp76","https://ror.org/01ahyrz84","https://ror.org/022zbs961","https://ror.org/03s3m1w94","https://ror.org/04hnzva96","https://ror.org/01v9p7c03","https://ror.org/052gg0110","https://ror.org/02xfp8v59","https://ror.org/04x3wvr31","https://ror.org/044wn2t24","https://ror.org/02tyrky19","https://ror.org/00987cb86","https://ror.org/0482b5b22","https://ror.org/00jdryp44","https://ror.org/01mn7k054","https://ror.org/048a87296","https://ror.org/02h7w3c75","https://ror.org/03s7bv520","https://ror.org/00devjr72","https://ror.org/00vr49948","https://ror.org/02xzytt36","https://ror.org/04xs57h96","https://ror.org/017zqws13","https://ror.org/04dercs88","https://ror.org/02t54e151","https://ror.org/02qztda51","https://ror.org/04pqpvr75","https://ror.org/05n8n9378","https://ror.org/02hmjzt55","https://ror.org/011q66e29","https://ror.org/0349vqz63","https://ror.org/03rmrcq20","https://ror.org/01mqvjv41","https://ror.org/02nv7yv05","https://ror.org/037adk771","https://ror.org/02hstj355","https://ror.org/02ewxar05","https://ror.org/031va9m79","https://ror.org/00hj8s172","https://ror.org/00ysfqy60","https://ror.org/04qw24q55","https://ror.org/01xnsst08","https://ror.org/013ys5k90","https://ror.org/03k3p7647","https://ror.org/05krs5044","https://ror.org/04xw4m193"],"shortenedDescription":"This 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…","state":"published","temporalExtentText":"Data collected from 2000 to 2024","title":"Mean annual ecosystem carbon fluxes in woody, grass and soil pools across intact tropical savannas and dry forests at 10 km resolution, 2000-2024","topic":["0/Land cover/","0/Land use/","0/Mapping/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Sharps","Vieno","Beck"],"authorFullName":["Sharps, K.","Vieno, M.","Beck, R."],"authorGivenName":["K.","M.","R."],"authorOrcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for the period spanning mid-April to mid-July, for the UK and the USA, for 2018.  \n","documentType":"GEMINI_DOCUMENT","familyName":["Sharps","Vieno","Beck"],"fullName":["Sharps, K.","Vieno, M.","Beck, R."],"funder":["Natural Environment Research Council","Global Environment Facility (GEF)","United Nations Environment Programme (UNEP)"],"givenName":["K.","M.","R."],"grant":["NE/R016429/1"],"identifier":"4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","incomingCitationCount":0,"keyword":["Surface ozone","EMEP model","ozone","grassland","air pollution"],"keywordsOther":["Surface ozone","EMEP model","ozone","grassland","air pollution"],"licence":"Open government licence","lineage":"The surface ozone data are an output of the global EMEP (European Monitoring and Evaluation Programme) chemical transport model (version 4.45). The model uses the Weather Research and Forecast (WRF) model (4.2.2) to calculate hourly 3D meteorological data for the year 2018. The emissions data used as model inputs were based on the IIASA ECLIPSE v6a (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) GAINS (Greenhouse gas – Air pollution Interactions and Synergies) model for the year 2015.\nOutput data from the EMEP-WRF model go through a process of quality assurance/control before use in subsequent analyses.\n","locations":["POLYGON((-174.375 23.241, -174.375 71.301, 1.768 71.301, 1.768 23.241, -174.375 23.241))"],"metadataDate":"2026-07-24T21:19:52.000Z","orcid":["0000-0003-3265-1505","0000-0001-7741-9377"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2023-12-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7","doi:10.5285/4b0871a9-196a-48e1-a0c8-c5f53e17e9a7"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a vector layer (based on 1 by 1° grid), of modelled surface ozone concentrations (ppb). The values per cell are daily mean surface ozone for the period 6am – 6pm. The seasonal average has been calculated for the grassland growing season, for…","state":"published","temporalExtentText":"Data collected from 2018 to 2018","title":"Modelled mean daily surface ozone for the grassland growing season in the UK and USA in 2018","version":1.0,"view":["public","glenn"]},{"altTitle":["MultiMOVE Version 2.0.1","MultiMOVE: A Package of niche models for British vegetation v.2.0.1"],"authorAffiliation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)"],"authorFamilyName":["Henrys","Butler","Jarvis","Smart","Fang"],"authorFullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z."],"authorGivenName":["P.A.","A.","S.G.","S.M.","Z."],"authorOrcid":["0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-2750-7832"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["R Script"],"description":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from specified environmental data. It also allows plotting of relationships between species' occurrence and individual covariates so the user can see what effect each environmental variable has on the specific species in question. The package is built under R 3.1.2 and depends on R packages 'leaps', 'earth', 'fields', 'mgcv', 'stringr', 'gsubfn', 'randomForest' and 'nnet'. ","documentType":"GEMINI_DOCUMENT","familyName":["Henrys","Butler","Jarvis","Smart","Fang"],"fullName":["Henrys, P.A.","Butler, A.","Jarvis, S.G.","Smart, S.M.","Fang, Z.","Henrys, P."],"givenName":["P.A.","A.","S.G.","S.M.","Z.","Pete"],"identifier":"94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","incomingCitationCount":3,"keyword":["Great Britain","Modelling","Vegetation science","ecology"],"keywordsOther":["Vegetation science","ecology"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Modelling"],"licence":"Open government licence","lineage":"Modelling methods used: Generalised Additive Models (GAMs) (Hastie and Tibshirani, 1990) Generalised Linear Models (GLMs) (McCullagh and Nelder, 1989) Random Forests (RF) (Liaw and Wiener, 2002) Multiple Adaptive Regression Splines (MARS) (Friedman, 1991). Neural Networks (NNet) (Venables and Ripley, 2002) Data sources used in the models: National Vegetation Classification (Rodwell 1991 et seq). Data collected at 4-250 m2 using targeted homogenous stands to census full range of plant community variation across Britain. Sampled from 1950-1980. The Key Habitats surveys of Britain (Hornung 1996). Data collected at 4m2 using random sampling within a random selection of 1-km squares stratified by three landscape GIS masks for upland, calcareous grassland and lowland heathland ecosystems. Sampled in 1992. Broadleaved woodland survey of Britain (Kirby et al. 2005; Corney et al. 2006). Data collected at 200 m2 using 16 plots located at random within each of 103 representative sites in Britain. Sampled in 1971. Countryside Survey of Great Britain (Smart et al. 2003). Data collected at 4-200 m2 using randomly located plots within a random selection of 569 1-km squares across Britain stratified by ITE Land Class. Data collected in 1998/1999. ","locations":["POLYGON((-9.227 49.837, -9.227 60.85, 2.6876 60.85, 2.6876 49.837, -9.227 49.837))"],"metadataDate":"2026-07-25T10:18:20.000Z","orcid":["0000-0003-4758-1482","0000-0001-5382-5135","0000-0003-2750-7832"],"organisation":["Centre for Ecology & Hydrology","Biomathematics & Statistics Scotland (BIOSS)","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2015-05-13T00:00:00.000Z","recordType":"Model","resourceIdentifier":["1431527379383","CEH:EIDC::1431527379383","10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","doi:10.5285/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9","https://catalogue.ceh.ac.uk/id/94ae1a5a-2a28-4315-8d4b-35ae964fc3b9"],"resourceType":"Model","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"MultiMOVE is an R package that contains fitted niche models for almost 1500 plant species in Great Britain. This package allows the user to access these models, which have been fitted using multiple statistical techniques, to make predictions of species occurrence from…","state":"published","supplementalName":["Manual for R Statistical Environment extensions"],"title":"MultiMOVE Model: Ensemble niche modelling of British vegetation v2.0.1","topic":["0/Modelling/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Laize","Barker","Edwards"],"authorFullName":["Laize, C.L.R.","Barker, L.J.","Edwards, F.K."],"authorGivenName":["C.L.R.","L.J.","F.K."],"authorOrcid":["0000-0002-7560-7769","0000-0002-2913-0664","0000-0001-9875-6663"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)"],"description":"Monthly time series of simulated de-trended/de-seasonalised biological indicators at 86 bio-monitoring sites in England and Wales based on the modelled response of these indicators to discharge (represented by a standardised streamflow index, SSI) at 76 paired gauging stations. The biological indicators include: \n\n(i) Average Score per Taxon (ASPT)\n(ii) Lotic-invertebrate Index for Flow Evaluation (LIFE) calculated at family-level (LIFE Family)\n(iii) LIFE calculated at species-level (LIFE Species). \n\nThe simulation spans the period 1964-2012.","documentType":"GEMINI_DOCUMENT","familyName":["Laize","Barker","Edwards"],"fullName":["Laize, C.L.R.","Barker, L.J.","Edwards, F.K.","Laize, C."],"givenName":["C.L.R.","L.J.","F.K.","Cedric"],"identifier":"2ad542be-e883-4c6e-b198-7d49da62208c","incomingCitationCount":0,"keyword":["England","Wales","Historic Drought","Standardised Streamflow Index","SSI","Biological Indicators","Average Score per Taxon","ASPT","Lotic-invertebrate Index for Flow Evaluation","LIFE","water scarcity","drought"],"keywordsOther":["Standardised Streamflow Index","SSI","Biological Indicators","Average Score per Taxon","ASPT","Lotic-invertebrate Index for Flow Evaluation","LIFE","water scarcity","drought"],"keywordsPlace":["England","Wales"],"keywordsProject":["Historic Drought"],"licence":"Open government licence","lineage":"Biological indicator ASPT and LIFE (family and species levels) were obtained for 86 sites from the EA Freshwater and Marine Biological Surveys for Invertebrates England database (commonly known as 'BIOSYS'). Biological records for the UK typically exhibit an annual positive trend and seasonal offset (higher values in spring); bio-indicators were therefore de-trended and de-seasonalised by fitting linear regression models (season and year as predictors) then subtracting the fitted bio-indicator values from the raw indicator data. Monthly SSI series for period 1964-2012 for the 76 gauging stations paired to the 86 BIOSYS sites were derived using 6-month accumulation period and Tweedy distribution. Seven predictors were assembled: SSI on same monthly date as biological indicators, and six lagged SSI (6, 12, 18, 24, 30, and 36 months prior to date of biological indicators). For each bio-indicator, a model of the indicator's response to the SSI predictors was fitted using Multi-Level modelling and Multi-Model Inference. Models were then run with the whole SSI dataset to produce the final dataset of simulated de-trended/de-seasonalised ASPT, LIFE Family and LIFE Species series for period 1964-2012.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-09-15T08:44:48.000Z","orcid":["0000-0002-7560-7769","0000-0002-2913-0664","0000-0001-9875-6663"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2018-06-27T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ad542be-e883-4c6e-b198-7d49da62208c","10.5285/2ad542be-e883-4c6e-b198-7d49da62208c","doi:10.5285/2ad542be-e883-4c6e-b198-7d49da62208c"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Monthly time series of simulated de-trended/de-seasonalised biological indicators at 86 bio-monitoring sites in England and Wales based on the modelled response of these indicators to discharge (represented by a standardised streamflow index, SSI) at 76 paired gauging…","state":"published","supplementalDescription":["Barker, L. J., Hannaford, J., Chiverton, A., & Svensson, C. (2016). From meteorological to hydrological drought using standardised indicators. Hydrology and Earth System Sciences, 20(6), 2483-2505."],"supplementalName":["Paper describing the derivation of the standardised streamflow index used in modelling bio-indicators."],"temporalExtentText":"Data collected from 1964 to 2012","title":"Simulated monthly biological indicators for England and Wales 1964-2012","version":1.0,"view":["public","nuri","phtr"]},{"altTitle":["JP Bell soil parental materials"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Distribution of soil parent materials in the Severn and Wye catchments.  These were mapped during the Soil Hydrology Study conducted by JP Bell in 1968-1969: Bell, J.P. (1969). The Soil Hydrology of the Plynlimon Catchments. Institute of Hydrology Report No. 8, Institute of Hydrology, Wallingford, UK.","documentType":"GEMINI_DOCUMENT","fdriCatchment":["Upper Severn"],"fdriCategory":["Geology and soils"],"identifier":"78bb4a32-765e-4ecf-856b-c970179cdf25","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn","Floods and Droughts Digital Research Infrastructure (FDRI)","Soil","hydrochemistry","water quality","hydrology","soil","Geology and soils"],"keywordsOther":["hydrochemistry","water quality","hydrology","soil","Geology and soils"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Upper Severn"],"keywordsProject":["Floods and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Soil"],"licence":"Non-Open government licence","lineage":"This dataset was digitised from scanned paper map, most likely the soil type boundaries had been hand drawn on a paper map as a result of direct observations on site.","locations":["POLYGON((-3.821 52.415, -3.821 52.514, -3.633 52.514, -3.633 52.415, -3.821 52.415))"],"metadataDate":"2026-09-01T14:36:08.000Z","organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2010-06-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1364213588460","CEH:EIDC::1364213588460","https://catalogue.ceh.ac.uk/id/78bb4a32-765e-4ecf-856b-c970179cdf25"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Distribution of soil parent materials in the Severn and Wye catchments.  These were mapped during the Soil Hydrology Study conducted by JP Bell in 1968-1969: Bell, J.P. (1969). The Soil Hydrology of the Plynlimon Catchments. Institute of Hydrology Report No. 8, Institute…","state":"published","temporalExtentText":"Data collection started in 1968","title":"Plynlimon research catchments: soil parent materials","topic":["0/Soil/"],"version":1.0,"view":["public","nuri"]},{"authorAffiliation":["University of Oxford"],"authorFamilyName":["Buechel"],"authorFullName":["Buechel, M."],"authorGivenName":["M."],"authorOrcid":["0000-0002-5047-1631"],"authorRor":["https://ror.org/052gg0110"],"availability":"Available","catalogue":"eidc","dataFormat":["NetCDF"],"description":"Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation takes place according to catchment structure and existing land cover.\n\nScenarios cover twelve river catchments in Great Britain: Dee, Tay, Ouse, Ure, Derwent, Thames, Avon, Tamar, Severn at Bewdley , Severn at Haw Bridge, Ribble and Clyde.\n\nAfforestation scenarios relate to two catchment properties: - (1) River network structure and (2) Land use.  By using these two catchment properties, in conjunction with different extents of afforestation, up to 288 afforestation scenarios per catchment are generated.\n\nThis dataset was created as part of the NERC doctoral training partnerships (grant number NE/L002612/1).","documentType":"GEMINI_DOCUMENT","familyName":["Buechel"],"fullName":["Buechel, M."],"funder":["Natural Environment Research Council"],"givenName":["M.","Marcus"],"grant":["NE/L002612/1"],"identifier":"f484ff54-9139-462e-b37a-347a69f78500","incomingCitationCount":0,"keyword":["Hydrology","scenario","JULES","Avon","Clyde","Dee","Derwent","Ouse","Ribble","Severn at Haw Bridge","Tamar","Tay","Thames","Ure","CHESS-land","Severn at Bewdley","hydrology","afforestation"],"keywordsOther":["scenario","JULES","Avon","Clyde","Dee","Derwent","Ouse","Ribble","Severn at Haw Bridge","Tamar","Tay","Thames","Ure","CHESS-land","Severn at Bewdley","hydrology","afforestation"],"keywordsTheme":["Hydrology"],"licence":"Open government licence","lineage":"The data is based on the UKCEH Land Cover 2000 raster at 25 m2. Drainage basin areas were discretised using the IHDTM (50 m2) and streams created using ArcGIS 10.6. Land cover scenarios were converted to fractions of the eight different land cover types according to JULES base configuration at a 1 km2 grid scale. Each of the eight land fractions rasters were then combined in a netCDF file using the Python packages rasterio and netCDF4 to create the land cover scenarios in a format for JULES to process. Land maps generated were compared to the CHESS-land dataset to ensure that they were generated accurately.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:06:45.000Z","orcid":["0000-0002-5047-1631"],"organisation":["University of Oxford","NERC EDS Environmental Information Data Centre"],"publicationDate":"2021-10-28T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f484ff54-9139-462e-b37a-347a69f78500","10.5285/f484ff54-9139-462e-b37a-347a69f78500","doi:10.5285/f484ff54-9139-462e-b37a-347a69f78500"],"resourceType":"Dataset","rightsHolder":["University of Oxford"],"ror":["https://ror.org/052gg0110","https://ror.org/04xw4m193"],"shortenedDescription":"Data comprise a set of broadleaf afforestation scenarios (provided as netCDF files) that may be run with the Joint UK Land Environment Simulator (JULES), a community land surface model. The scenarios are based on the CEH Land Cover 2000 classification. Afforestation…","state":"published","title":"Potential afforestation scenarios based on catchment structure and land cover for twelve catchments in Great Britain for use with the Joint UK Land Environment Simulator (JULES)","topic":["0/Hydrology/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["Durham University"],"authorFamilyName":["Johnson"],"authorFullName":["Johnson, G.A.L."],"authorGivenName":["G.A.L."],"authorRor":["https://ror.org/01v29qb04"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This is a spatial dataset containing polygons representing different geology types in the Moor House National Nature Reserve, northern Pennines, England. The survey was undertaken by G.A.L. Johnson under a grant by The Nature Conservancy in the 1950s and 1960s. ","documentType":"GEMINI_DOCUMENT","familyName":["Johnson","Wood"],"fullName":["Johnson, G.A.L.","Wood, C."],"givenName":["G.A.L.","Claire"],"identifier":"0e3aefb2-ce86-4d09-8ff0-6d165dfd48db","incomingCitationCount":0,"keyword":["Moor House","Pennines","England","Mapping","geology","rock"],"keywordsOther":["geology","rock"],"keywordsPlace":["Moor House","Pennines","England"],"keywordsTheme":["Mapping"],"licence":"Open government licence","lineage":"Following recommendation from the University Department of Geology in Durham, this geological re-survey of the Moor House region was started in 1954. The survey was undertaken by G.A.L. Johnson under a grant by The Nature Conservancy (a forerunner of the Natural Environment Research Council). The original map was mapped on to a base map of 3 inches to the mile. The paper map was digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s. Note that the reserve has been extended to Upper Teesdale, however this map covers the Moor House area only. See online Supporting Information for further details.","locations":["POLYGON((-2.52 54.62, -2.52 54.72, -2.31 54.72, -2.31 54.62, -2.52 54.62))"],"metadataDate":"2026-07-24T19:02:51.000Z","organisation":["Durham University","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"1963-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1392911061929","CEH:EIDC::1392911061929","https://catalogue.ceh.ac.uk/id/0e3aefb2-ce86-4d09-8ff0-6d165dfd48db","10.5285/0e3aefb2-ce86-4d09-8ff0-6d165dfd48db","doi:10.5285/0e3aefb2-ce86-4d09-8ff0-6d165dfd48db"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/01v29qb04","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a spatial dataset containing polygons representing different geology types in the Moor House National Nature Reserve, northern Pennines, England. The survey was undertaken by G.A.L. Johnson under a grant by The Nature Conservancy in the 1950s and 1960s. ","state":"published","supplementalDescription":["'Geological Map of the Moor House National Nature Reserve (1963) Westmorland. Survey for the Nature Conservancy' in The Geology of Moor House, a National Nature Reserve in north-east Westmorland (1963) Johnson G.A.L., Dunham K.C., Monographs of the Nature Conservancy (No.2) 1963, HMSO."],"temporalExtentText":"Data collected from 1954 to 1961","title":"Geological map of the Moor House National Nature Reserve","topic":["0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["The Nature Conservancy"],"authorFamilyName":["Eddy","Welch","Rawes"],"authorFullName":["Eddy, A.","Welch, D.","Rawes, M."],"authorGivenName":["A.","D.","M."],"authorRor":["https://ror.org/00gcd8h55"],"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","documentType":"GEMINI_DOCUMENT","familyName":["Eddy","Welch","Rawes","Wood"],"fullName":["Eddy, A.","Welch, D.","Rawes, M.","Wood, C."],"givenName":["A.","D.","M.","Claire"],"identifier":"bb703113-3428-483c-858a-2a85cafd9821","incomingCitationCount":0,"keyword":["England","Pennines","Moor House","Biodiversity","Mapping","Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsOther":["Sphagnum recurvum","Polytrichum commune ","Juncus effusus","Nardus stricta","Trichophorum cespitosum","Eriophorum vaginatum","Calluna vulgaris","Juncus squarrosus","Agrostis spp.","Festuca spp.","Sphagnum spp."],"keywordsPlace":["England","Pennines","Moor House"],"keywordsTheme":["Biodiversity","Mapping"],"licence":"Open government licence","lineage":"This map was created by Eddy, A., Welch, D., & Rawes, M. in the early 1960s at the Nature Conservancy's Moor House Field Station (a forerunner of the Centre for Ecology & Hydrology). Note that the reserve has been extended to Upper Teesdale, however this map covers the Moor House area only. The original field survey was mapped on to a base map on the scale of 6 inches to the mile (1:10560). The paper map was digitised by the Institute of Terrestrial Ecology (now the Centre for Ecology & Hydrology) in the 1990s. See online Supporting Information for further details.","locations":["POLYGON((-2.53 54.59, -2.53 54.71, -2.3 54.71, -2.3 54.59, -2.53 54.59))"],"metadataDate":"2026-07-25T12:59:06.000Z","organisation":["The Nature Conservancy","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"1968-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1392911352060","CEH:EIDC::1392911352060","https://catalogue.ceh.ac.uk/id/bb703113-3428-483c-858a-2a85cafd9821","10.5285/bb703113-3428-483c-858a-2a85cafd9821","doi:10.5285/bb703113-3428-483c-858a-2a85cafd9821"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00gcd8h55","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a spatial dataset containing polygons representing areas of vegetation mapped within the Moor House National Nature Reserve in the northern Pennines, England. The map was created by staff of The Nature Conservancy in the 1960s.","state":"published","supplementalDescription":["Eddy, A., Welch, D., & Rawes, M. (1968). The vegetation of the Moor House National Nature Reserve in the northern Pennines, England. Plant Ecology (Vegetation), 16(5), 239-284"],"temporalExtentText":"Data collected from 1960 to 1965","title":"Vegetation map of the Moor House National Nature Reserve ","topic":["0/Biodiversity/","0/Mapping/"],"version":1.0,"view":["public","rjsc"]}],"rows":20,"semanticEnabled":false,"term":"ECN","url":"https://catalogue.ceh.ac.uk/eidc/documents?page=3&term=ECN"}