The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data
The FLUXNET2015 dataset provides ecosystem-scale data on CO 2 , 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...
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Veröffentlicht in: | Scientific data 2020-07, Vol.7 (1), p.225-27, Article 225 |
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Sprache: | eng |
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Zusammenfassung: | The FLUXNET2015 dataset provides ecosystem-scale data on CO
2
, 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.
Measurement(s)
net ecosystem exchange • carbon dioxide • water • energy
Technology Type(s)
eddy covariance • measurement device
Sample Characteristic - Environment
terrestrial biome • atmosphere
Sample Characteristic - Location
Earth (planet)
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12295910 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-020-0534-3 |