dataset_dop_prediction

This dataset contains simulation based data used for the analysis and prediction of impact response in ceramic material systems subjected to high rate loading conditions. The dataset includes key parameters such as impact velocity, material properties, thickness, and measured response variables such as depth of penetration (DoP). It was developed to support machine learning-based modelling and to provide reproducible input data for understanding the underlying mechanics of impact behaviour. All data have been processed and structured for direct use in data-driven modelling approaches. The dataset is associated with the study titled "Depth of Penetration Estimation of Armor Ceramics Under Different Ballistic Threats by Using Machine Learning Algorithms" and is made publicly available to ensure transparency, reproducibility, and further research in impact engineering.