This dataset accompanies the paper “Validity of Combination of Gravitational Binding and Stellar Population Properties in Cluster Identification” by Li, Yu, Qian, Lan, and Zheng (2026). The dataset presents the first release of the LISC new data catalog, LISC-NDR1, which contains 2,911 massive star clusters identified from Gaia DR3 data. The catalog was constructed using the GPIT method, namely the Gravitational binding and Population property Identification Technique. GPIT combines three physical constraints in the cluster identification process: gravitational binding, color-excess homogeneity, and stellar population consistency in the color-magnitude diagram. Compared with traditional density-based or linkage-based methods, this approach aims to identify more physically reliable member-star samples by considering whether candidate members are dynamically bound and whether they share consistent stellar population properties. The uploaded data include both cluster-level parameters and member-star information for the LISC-NDR1 catalog. The cluster-level catalog provides basic statistical and physical parameters for each identified cluster, including the number of member stars, mean astrometric parameters, spatial extent, total estimated stellar mass, and characteristic radii. The member-star catalog provides the Gaia DR3 source identifier, astrometric parameters, photometric properties, estimated stellar mass, spatial coordinates, velocity-related quantities, and cluster structural information for individual member stars. This dataset is intended to support studies of Galactic open clusters, cluster identification methods, stellar population consistency, cluster membership analysis, and the dynamical properties of star clusters. It provides a physically motivated catalog for future investigations of open cluster samples based on Gaia DR3.