Q10Net: In Situ Soil Respiration Q10 Dataset and Neural Network Analysis Code for the Tibetan Plateau

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Tongqing Shen
DOI: 10.5281/zenodo.21482790
Cited by: 1

Abstract

This archive contains an in situ soil respiration Q10 dataset compiled for the Tibetan Plateau and the neural network code used to analyze its controlling factors and predict its spatiotemporal dynamics under future climate scenarios. The archive supports the study "Compound Effects of Warming and Wetting Enhance Soil Respiration on the Earth's Third Pole."

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
22 July 2026