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dc.contributor.authorPastorello, G.en_US
dc.contributor.authorTrotta, C.en_US
dc.contributor.authorCanfora, E.en_US
dc.contributor.authorChu, H.en_US
dc.contributor.authorChristianson, D.en_US
dc.contributor.authorCheah, Y.en_US
dc.contributor.authorPoindexter, C.en_US
dc.contributor.authorChen, J.en_US
dc.contributor.authorElbashandy, A.en_US
dc.contributor.authorHumphrey, M.en_US
dc.contributor.authorMerbold, Lutzen_US
dc.date.accessioned2020-07-27T14:22:17Zen_US
dc.date.available2020-07-27T14:22:17Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/108878en_US
dc.titleThe FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance dataen_US
cg.authorship.typesCGIAR and developing country instituteen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
dcterms.abstractThe FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationPastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y., Poindexter, C., Chen, J., Elbashandy, A., Humphrey, M., Merbold, L. et al. 2020. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data 7: 225.en_US
dcterms.issued2020-07-09en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-4.0en_US
dcterms.publisherSpringer Science and Business Media LLCen_US
dcterms.subjectatmosphereen_US
dcterms.subjectgreenhouse gas emissionen_US
dcterms.subjectdataen_US
dcterms.subjectresearchen_US
dcterms.subjectopen accessen_US
dcterms.subjectclimate changeen_US
dcterms.subjectenvironmenten_US
dcterms.typeJournal Articleen_US
cg.subject.ilriCLIMATE CHANGEen_US
cg.subject.ilriDATAen_US
cg.subject.ilriENVIRONMENTen_US
cg.subject.ilriGHG EMISSIONSen_US
cg.subject.ilriRESEARCHen_US
cg.contributor.affiliationLawrence Berkeley National Laboratoryen_US
cg.contributor.affiliationUniversity of Tusciaen_US
cg.contributor.affiliationEuro-Mediterranean Center on Climate Changeen_US
cg.contributor.affiliationCalifornia State Universityen_US
cg.contributor.affiliationMichigan State Universityen_US
cg.contributor.affiliationUniversity of Virginiaen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.identifier.doihttps://doi.org/10.1038/s41597-020-0534-3en_US
cg.identifier.dataurlhttps://springernature.figshare.com/articles/Metadata_record_for_The_FLUXNET2015_dataset_and_the_ONEFlux_processing_pipeline_for_eddy_covariance_data/12295910en_US
cg.isijournalISI Journalen_US
cg.creator.identifierLutz Merbold: 0000-0003-4974-170Xen_US
cg.contributor.donorEuropean Unionen_US
cg.contributor.donorUnited States Department of Energyen_US
cg.reviewStatusPeer Reviewen_US
cg.howPublishedFormally Publisheden_US
cg.journalScientific Dataen_US
cg.issn2052-4463en_US


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