CATSA: A Wearable Dataset for Cognitive Attention and Task-based Stress Analysis

The CATSA dataset is a publicly accessible multimodal dataset comprising wearable signals designed for stress and cognitive task analysis. It primarily captures physiological responses under baseline conditions and during induced cognitive tasks from wearable device. The dataset is organized within a root folder named CATSA, which contains 50 subfolders, each corresponding to an individual participant and labeled as subXY, where XY represents an incrementing numerical identifier. Within each participant’s folder, there are five subdirectories named Baseline, Nback, Stroop, Logic, and Sudoku, corresponding to different experimental conditions. Each of these subdirectories contains five CSV files that store data recorded by the wrist-worn Empatica E4 device, including Blood Volume Pulse (BVP), Electrodermal Activity (EDA), Accelerometer data (ACC), Body Temperature (TEMP), and Heart Rate (HR).