Sampling RUV

This dataset is to replicate analyses in the publication titled “Optimizing remote underwater video sampling to quantify relative abundance, richness, and corallivory rates of reef fish” in Coral Reefs (2025). https://doi.org/10.1007/s00338-024-02613-6.This study was conducted as part of the Ecological Intelligence for Reef Restoration and Adaptation Program (EcoRRAP) (https://gbrrestoration.org/program/ecorrap/).Data were video annotations from remote underwater videos (1080p, 60fps) recorded at 5 m depth at eight reef sites from Apr 2021 to Jan 2022. The optimal sampling strategies were developed by examining the precision and accuracy of estimates to enhance video analysis efficiency while minimizing the sampling errors of relative abundance, richness, and corallivory rates of reef fish.Data and an R markdown are stored on the Sydney eScholarship (https://hdl.handle.net/2123/33520), and videos are stored on the AIMS data server and available on request due to large file sizes.