Machine-Readable Index of 69 Learning-Based Primary Works for "AI-Empowered Image Transmission for the Internet of Underwater Things"

This dataset provides a machine-readable index of the 69 learning-based primary works analyzed in the survey “AI-Empowered Image Transmission for the Internet of Underwater Things: Architectures, Joint Coding, and Generative Reconstruction.” The CSV contains ten fields: final manuscript reference number, first author, publication year, title, venue, DOI, pipeline stage, subsection assignment, deployment-evidence grade, and code-availability status. The 69 works are organized across the end–edge–cloud pipeline as 16 pre-transmission, 21 in-transmission, and 32 post-transmission studies. Their evidence distribution is E1 = 57, E2 = 10, E3 = 2, and E4 = 0. The index supports reproducibility and cross-checking of Supplementary Tables S1–S3. The survey is restricted to learning-based image and video transmission over underwater acoustic links in the Internet of Underwater Things setting; underwater optical, visible-light, and radio-frequency links are outside its scope. This record contains bibliographic and evidence-coding metadata only. It does not include copyrighted article full texts or new experimental measurements.