A Flux and Meteorological Dataset for Net Ecosystem Productivity in a Subtropical Moso Bamboo Forest
Abstract
This dataset provides long-term continuous observation data of a subtropical bamboo forest in China. The core content includes ecosystem flux data measured by the eddy covariance method and the corresponding meteorological data collected simultaneously. This dataset aims to provide high-quality raw data support for analyzing the characteristics and driving mechanisms of the net ecosystem productivity of the bamboo forest, and is particularly suitable for nonlinear analysis and attribution studies based on machine learning models such as XGBoost.
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset