Data for Diagnosing machine learning for continental heat flow prediction Insights from synthetic experiments
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资源简介：
This dataset accompanies the manuscript "Diagnosing machine learning for continental heat flow prediction: Insights from synthetic experiments" submitted to Earth and Planetary Science Letters. It includes: (1) synthetic forward-model data for Experiments 1–9, (2) quality-controlled continental heat flow (CHF) measurements, binned CHF values, and global CHF prediction results with uncertainties, both with and without continental margins, and (3) four KMZ visualization files for Google Earth. See the README file for details.
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Zenodo创建时间：
2026-09-27
