Multi-ion-sensing dataset

An experimental dataset is acquired to train, optimize, and evaluate multviariate calibration models for ion interference compensation in accurate ion-sensing applications. The dataset is acquired through ion-selective electrodes enabllng the concurrent monitoring of sodium, potassium, ammonium, and calcium ions in artificial sweat. Mainly, sensor electrical responses (open circuit potentials) are measured within different sample electrolytic composition, where the ion activities of the constituents areknownbeforehand (sodium, potassium, ammonium, calcium, and magnesium ions).The training dataset is designed with orthogonal arrays, yielding independent but representative ariificial sweat electrolytic compositions,while, validation and test sets are designed by sampling a random Weibulldistribution in the range of detection of the ions of interest.