Uniaxial compressive strength and electrical resistivity data for graphite-based nanomaterials reinforced cementitious composite

The provided datasets are used to establish machine learning models for uniaxial compressive strength (UCS) and electrical resistivity (ER) of graphite-based nanomaterials reinforced cementitious composite (GNRCC). The ER dataset consists of 416 samples and the UCS dataset consists of 373 samples. Samples in both datasets are compiled from published studies.