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FluxPulse Version 1.0 (2025)

FluxPulse detects and bias-corrects rain-induced carbon pulses from eddy-covariance flux data across global drylands.

FluxPulse version 1.0 focuses on 34 global dryland sites, whose IGBP vegetation types belonging to Grasslands (GRA), Savannas (SAV), Open Shrublands (OSH), Closed Shrublands (CSH), and Woody Savannas (WSA).
Site locations and general characteristics could be found in https://fluxnet.org/.

Visualization

FluxPulse v1.0 performance across 34 global dryland flux sites: https://ngoc-nguyen-ucberkeley.shinyapps.io/fluxpulse_visualization/

Data Usage Policy

The data is open-access to the public. Please cite this article if you use FluxPulse data in your research/projects.

Download data

To download the full FluxPulse v1.0 bias-corrected datasets, go to this link: https://berkeley.box.com/s/h3lwyk3a7cpv0dh0wepwo6ja0sv015iq

Process your own data

To apply FluxPulse v1.0 algorithm into your data, either refer to our GitHub or contact the corresponding authors for customized processing (we hope to respond to your request within 3-5 business days):

  • Set up configuration: Modify config.yaml to specify your file directories.
  • Run the analysis: Open scripts/FluxPulse-algorithm.Rmd in RStudio and Knit to generate results (Further instructions can be found in the subfolders).

Report errors/bugs and collaboration

To report errors/bugs or inquire about the datasets, please create GitHub pull requests or contact the corresponding authors (Ngoc Nguyen (ngoc.nguyen@berkeley.edu) and Trevor F. Keenan (trevorkeenan@berkeley.edu))

Paper Citation

Nature Geoscience (2025). https://doi.org/10.1038/s41561-025-01754-9

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FluxPulse detects and bias-corrects rain-induced CO2 pulses from global dryland eddy-covariance flux data

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