Exceptional Carbon Sink Potential of Shenzhen Mangroves and a Machine-Learning Framework for Addressing Sparse Global Observations_data

Published: 26 May 2026| Version 1 | DOI: 10.17632/nhfcm5rb8w.1
Contributor:
yuhong Yang

Description

Eddy covariance based - Half hourly raw carbon, energy fluxes data from Shenzhen mangrove forest. Python scripts for the Random Forest model.

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Categories

Flux Data, Mangrove, Carbon Flux

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