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  The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah, Y.-W., et al. (2020). The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific Data, 7(1): 225. doi:10.1038/s41597-020-0534-3.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-B1AE-E Version Permalink: https://hdl.handle.net/21.11116/0000-0006-D84C-2
Genre: Journal Article

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http://dx.doi.org/10.1038/s41597-020-0534-3 (Publisher version)
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 Creators:
Pastorello, Gilberto , Author
Trotta, Carlo, Author
Canfora, Eleonora, Author
Chu, Housen, Author
Christianson, Danielle, Author
Cheah, You-Wei, Author
Poindexter, Cristina, Author
Chen, Jiquan, Author
Göckede, Mathias1, Author           
et al., Author
Affiliations:
1Integrating surface-atmosphere Exchange Processes Across Scales - Modeling and Monitoring, Dr. Mathias Göckede, Department Biogeochemical Systems, Prof. M. Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938313              

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 Dates: 20202020-07-09
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BGC3356
DOI: 10.1038/s41597-020-0534-3
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Title: Scientific Data
  Abbreviation : Sci. Data
Source Genre: Journal
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Publ. Info: London, United Kingdom : Nature Publishing Group
Pages: - Volume / Issue: 7 (1) Sequence Number: 225 Start / End Page: - Identifier: ISSN: 2052-4463
CoNE: https://pure.mpg.de/cone/journals/resource/2052-4463