Data for Copula-Enhanced Machine Learning for Labquake Prediction and Risk Assessment

Published: 17 November 2025| Version 1 | DOI: 10.17632/nsm4zbfwf3.1
Contributor:
Dongya Han

Description

Data from experiments 5268–5271 (see also the online repository at Chris Marone's labs http://psudata.s3-website.us-east-2.amazonaws.com/p5271/index.html) and the Python implementations of Bi-LSTM, LSTM, Transformer, and XGBoost models used to predict key slip indicators, including time to failure (TTF), time since failure (TSF), and shear stress (SS).

Files

Institutions

  • Central South University

Categories

Machine Learning, Earthquake Mechanics

Licence