Music Listening- Genre EEG dataset (MUSIN-G)
…on 12 songs of different genres (from Indian Classical to Goth Rock…
- Participants
- 20
- Channels
- 129 (egi-geodesic)
- Citations
- 3
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "genre classification" · page 1 of 10 · ranked by relevance
…on 12 songs of different genres (from Indian Classical to Goth Rock…
…ERPs were analyzed, and binary classification and BCI simulation were conducted offline…
…A comparison of stimulus types in online classification of the P300 speller…
This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
…For the second phase, the 12 types (six genres of music and…
This dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
…studies for Alzheimer's risk classification. PLOS ONE. https://doi.org/10…
…those who remained living (mortality classification). Only de-identified EEG data and…
Nejedly2020 multicenter iEEG graphoelement clips (FNUSA) This BIDS dataset is converted from…
This dataset comprises high-density and sparse functional near-infrared spectroscopy (fNIRS) measurements acquired during a Word-Color Stroop task. The study investigates whether high-density multi-distance fNIRS configurations enhance detection of brain activity compared to conventional sparse probe arrangements. Raw neuroimaging data from multiple participants are provided in BIDS format to support reproducible analysis of cognitive control mechanisms.