Data and code pertaining to “CGAN-Based Prediction on Underwater Explosion Response of Hull Side Panel Structures”

This dataset contains the raw data, processed data, and source code used in the study "CGAN-Based Prediction on Underwater Explosion Response of Hull Side Panel Structures". The code is written in Python and includes training scripts for the Conditional Generative Adversarial Network (CGAN), pre-trained model weights, and output figures. The data are stored in .csv and .npy formats. The dataset supports the replication of all figures and tables in the associated publication.