Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/129213
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Type: | Journal article |
Title: | The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data |
Author: | Pastorello, G. Trotta, C. Canfora, E. lots of authors, Koerber, G. et al., Meyer, W. |
Citation: | Scientific Data, 2020; 7(1):225-1-225-27 |
Publisher: | Nature Research (part of Springer Nature) |
Issue Date: | 2020 |
ISSN: | 2052-4463 2052-4463 |
Statement of Responsibility: | Gilberto Pastorello ... Georgia Koerber ... Wayne Meyer ... et al. |
Abstract: | The 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. |
Rights: | © The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
DOI: | 10.1038/s41597-020-0534-3 |
Published version: | https://doi.org/10.1038/s41597-020-0534-3 |
Appears in Collections: | Aurora harvest 4 Ecology, Evolution and Landscape Science publications |
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hdl_129213.pdf | Published version | 2.75 MB | Adobe PDF | View/Open |
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