Research Data and Audit Trail: Reliability of EEG-based prediction of consumer preference: a systematic review and evidence synthesis

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-17
DOI
https://doi.org/10.5281/zenodo.22813766
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Research Data and Audit Trail: Reliability of EEG-based prediction of consumer preference: a systematic review and evidence synthesis

Hojjat Azadravesh, Hesameddin Fathi
Zenodo (CERN European Organization for Nuclear Research)
Emotion and Mood Recognition
article

Research Data and Audit Trail: Reliability of EEG-based prediction of consumer preference: a systematic review and evidence synthesis

Hojjat Azadravesh, Hesameddin Fathi
article en

Abstract

This restricted repository contains the research audit trail, master data extraction workbooks, quality appraisal matrices, and search logs supporting the systematic review: "Reliability of EEG-based prediction of consumer preference: a systematic review and evidence synthesis"[cite: 8, 9, 11]. Access to data files is restricted during peer review and can be shared with editors and reviewers via confidential access links.

Zenodo (CERN European Organization for Nuclear Research)
Islamic Azad University, Tehran (IR), University of Neyshabur (IR), Shiraz University (IR)
Openalex Percentile: Top 7%
Emotion and Mood Recognition
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Research Data and Audit Trail: Reliability of EEG-based prediction of consumer preference: a systematic review and evidence synthesis — Hojjat Azadravesh, Hesameddin Fathi · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS