Blasting‑induced PPV monitoring dataset of Lala open‑pit copper mine

This dataset contains field blasting monitoring data collected from the Lala open‑pit copper mine, which is used to investigate blasting‑induced peak particle velocity (PPV) prediction based on machine‑learning methods. The dataset includes a total of 307valid blasting test samples. The recorded variables cover the prediction target PPV and a set of blasting parameters: Hole diameter (D, mm), Burden (B, m), Toe burden (W, m), Total charge (Qtotal, kg), Specific charge (q, kg/m³), Burden spacing (S, m), Hole spacing (b, m), Maximum charge per delay (Qmax, kg), and Blast‑center distance (R, m). During peer‑review, access to this dataset is restricted. The dataset will be publicly released once the related manuscript is accepted for publication.