CFD–EXP–ML Dataset for Sloshing-Induced Center of Gravity Shifts

This repository contains the experimental, computational fluid dynamics (CFD), and machine learning (ML) datasets used in the study “An Integrated Experimental–CFD–ML Framework for Predicting Sloshing-Induced Center of Gravity Shifts”. Contents: Experimental data: Raw and processed measurements from load cells and pressure sensors in a 600×60×300 mm sloshing tank subjected to horizontal excitation. Simulation data: OpenFOAM case files and CG results at multiple filling levels (2 cm, 4 cm, 6 cm). ML models: Trained LSTM models, configuration files, normalization parameters, and prediction outputs. Comparison data: Overlays of experimental, CFD, and ML results for validation. Structure: All data are organized in subfolders with README files describing their content and usage. License: CC-BY 4.0 — data can be freely reused with proper attribution. This dataset supports reproducibility and reusability of the results reported in the associated manuscript