Data for: Quantify continental crustal thickness using the machine learning method

Table S1 The compositions and corresponding crustal thickness of the training data Table S2 The compositions and predicted crustal thickness of the Kohistan arc Table S3 The compositions and predicted crustal thickness of the magmatic rocks in Gangdese belt in southern Tibet Table S4 The compositions and predicted crustal thickness of the Talkeetna arc Table S5 The compositions and predicted crustal thickness of the Mesozoic magmatic rocks in the Erguna Block Table S6 The porphyry copper deposits in the Erguna Block Crustal_thickness.py The python code of our web application that allows researchers to apply the ML model