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Bibliographic Details
Main Author: Tongqing Shen
Format: Recurso digital
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Published: Zenodo 2025
Online Access:https://doi.org/10.5281/zenodo.16122643
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Table of Contents:
  • <h3>Q10Net v1.0 – Initial Release</h3> <p>This release includes the full code and original dataset supporting the study:</p> <p><strong>"Compound Effects of Warming and Wetting Enhance Soil Respiration on the Earth's Third Pole"</strong></p> <h3> Contents</h3> <ul> <li><code>Q10Net.py</code>: Neural network framework for modeling and explaining the temperature sensitivity (Q₁₀) of soil respiration.</li> <li><code>Q10_Dataset.xlsx</code>: This file contains original field measurements of soil respiration temperature sensitivity (Q₁₀), along with key environmental predictors used for model training and evaluation.</li> <li><code>README.md</code>: Overview of model structure, dataset content, and usage instructions.</li> </ul> <p> Contact: Tongqing Shen (tqshen95@163.com)</p>