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…Value Twelve participants completed three learning tasks. In each task the goal…

Citations

3

Size

4.00 GB

Updated

Jun 23, 2026

A joint EEG-fMRI dataset acquired from 21 healthy adult participants during affective music listening. Participants listened to music stimuli designed to elicit different emotional responses and provided self-reported affective state ratings. This multimodal neuroimaging dataset enables investigation of the neural correlates of emotional responses to music across both electrophysiological and hemodynamic measures.

Citations

7

Size

15.3 GB

Updated

Jun 21, 2026

…82901/nemar.on003522) 3 stimulus auditory oddball data in control, sub-acute…

Citations

24

Size

25.2 GB

Updated

Jun 22, 2026

This dataset comprises intracranial electrophysiological recordings and behavioral data from a categorized free recall task with open-loop electrical brain stimulation during encoding. Participants studied semantically organized word lists (12 items from 3 categories, 4 words per category) followed by a distractor task and free recall. Stimulation was delivered to hippocampal and entorhinal cortex electrodes during encoding on 20 of 25 lists per session, with detailed stimulation parameters recorded for each trial.

Size

22.5 GB

Updated

Jun 27, 2026

…The auditory stimuli were single-frequency signals (pure tones) with duration 250…

Citations

29

Size

21.5 GB

Updated

Jun 22, 2026

This dataset contains electroencephalogram (EEG) recordings from 19 healthy participants using a brain-computer music interface designed to enable real-time control of musical tempo through motor imagery. Participants performed kinesthetic motor imagery tasks—imagining squeezing a ball to increase tempo or relaxing to decrease tempo—across nine experimental runs including a calibration phase. The data were collected at 1 kHz sampling rate with 20-second epochs synchronized to music clips, providing a resource for investigating the neural correlates of intentional tempo modulation and music-based brain-computer interface design. This dataset accompanies the publication by Daly et al. (2018). Full methodological details are available in Daly et al. (2014a, 2014b).

Size

2.38 GB

Updated

Jun 21, 2026

…10.82901/nemar.on003506) Reinforcement learning task with 28 Parkinson patients and…

Citations

2

Size

16.2 GB

Updated

Jun 22, 2026

…visual, auditory - **Primary modality**: auditory - **Synchronicity**: asynchronous - **Mode**: offline - **Training/test split…

Citations

81

Size

4.38 GB

Updated

Jun 2, 2026

This dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.

Size

8.52 GB

Updated

Jun 21, 2026

This dataset comprises electroencephalography (EEG) recordings from 20 Indian participants listening to 12 songs spanning diverse genres, from Indian Classical to Goth Rock. Participants rated their familiarity and enjoyment of each song on a 5-point scale following passive listening. The dataset provides neurophysiological measures of music perception and aesthetic response across genre diversity.

Citations

3

Size

10.1 GB

Updated

Jun 22, 2026