<b>fNIRS Dataset during Hand-gripping Activity</b>

The dataset comprises <b>functional near-infrared spectroscopy (fNIRS) recordings of hand-gripping motor activity</b>. The data is provided in three forms:<b>Raw Data</b>: Unprocessed optical density values recorded using the <b>nirSpot-2</b> system.<b>Processed Data</b>: Data converted into <b>oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) concentration changes</b> using standard preprocessing techniques.<b>Labeled Data</b>: A fully processed and labeled version of the dataset, facilitating classification tasks.Further details regarding the dataset, including acquisition methodology, preprocessing steps, and potential applications, are provided in the manuscript:Akhter, J., Naseer, N., Nazeer, H., Khan, H., &amp; Mirtaheri, P. (2024). Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application. <i>Sensors</i>, <i>24</i>(10), 3040.