Dataset-Machine vision and complementary sensing for crab aquaculture A review

The dataset provides bibliographic records, study-level evidence classifications and descriptive bibliometric data supporting the review. It comprises 172 cited references, including 86 crab-related empirical studies involving machine vision, imaging and complementary sensing across aquaculture, laboratory, ecological, fisheries and postharvest settings. The dataset includes: Bibliographic records and evidence-role classifications for 172 references. Study-level information on sensing approaches, biological measurement targets and experimental settings. Annual publication trends and six non-exclusive research themes derived from 86 studies. Abstract-derived term coding for 84 studies and associated co-occurrence data. First-author affiliation country information for 85 studies. Coding definitions, methodological documentation, source-linked classification decisions and reproducibility scripts. The dataset supports transparent examination of research trends, crab-specific sensing requirements, measurement capabilities and evidence gaps. It distinguishes controlled experimental demonstrations from validated monitoring in aquaculture production environments. The revised Figure 3 and its underlying thematic counts are generated from the same study-level coding data to ensure consistency and reproducibility. No copyrighted full-text articles or third-party experimental images are redistributed.