Time series processing library
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Updated
Dec 5, 2025 - Python
Time series processing library
Using atmospheric humidity deficits to discern soil moisture deficits. Python code repository for Baldocchi et al. (2021)
R code for Zohner et al. (2023)
APES (Atmosphere - Plant - Exchange Simulator) codes in Matlab
A collection of deep learning/machine learning models for the modeling of ecological fluxes with ecosystem memory and lagged drivers.
Relating (soil) droughts to spectral indices
A toolbox for processing, quality controlling and gap-filling FLUXNET2015 dataset for use in land surface modelling
Visualize Eddy-Covariance data Streams
dimensionality reduction on fluxnet series and how does it separate timescales?
Import Eddy Covariance Streams from CSV to SQLite
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