Anticipatory slow potentials before auditory feedback show posterior predominance but limited condition effects in speech-in-noise

This version replaces the earlier upload with the revised dataset and analysis materials corresponding to the current manuscript revision. The updated release includes: (i) revised participant metadata and documentation, (ii) run-level and participant-level quality-control tables, (iii) non-interpolated EEG derivatives used in the revised primary analyses, (iv) supplementary interpolated derivatives, and (v) updated preprocessing and analysis scripts. The documentation has also been expanded to clarify exclusion procedures, including participants excluded before the primary EEG analyses because of insufficient recording quality, block-level exclusions due to technical failures such as missing or unusable event markers, and participant-level exclusions based on predefined EEG quality-control criteria. These changes were made to improve transparency, reproducibility, and consistency with the revised manuscript and reviewer requests. IDs are pseudonymous; dates and direct identifiers are removed. Derivatives were generated with analyze_spn.py (GitHub: https://github.com/kokamoto46/analyze_spn), ensuring that figures and statistics reported in the manuscript can be reproduced from these tables. License: CC BY 4.0. Please cite the dataset as:Kazuhiro Okamoto*, Kengo Hoyano, Tomomi Nomura, Keisuke Irie, Naoya Obama, Narihiro Kodama, and Yasutaka Kobayashi (2026). Anticipatory slow potentials before auditory feedback show posterior predominance but limited condition effects in speech-in-noise (v3.0). Zenodo. https://doi.org/10.5281/zenodo.19344047