Discover datasets

This dataset comprises neurophysiological recordings from 39 participants who received calibrated laser stimuli while rating pain intensity and unpleasantness. Participants were presented with laser stimulations at individually-determined energy levels and provided subjective pain ratings on a 0-10 numeric rating scale. The study investigates the neural mechanisms underlying pain perception and assessment, with potential applications to understanding movement-induced hypoalgesia and related pain modulation phenomena. This is a derivative dataset based on OpenNeuro ds005289.

Participants

39

Channels

64 (10-10)

Size

22.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises multimodal physiological recordings from 23 healthy adult participants collected during naturalistic smartphone interaction and standardized video viewing conditions. Simultaneous EEG (64-channel), eye-tracking, photoplethysmography (PPG), and galvanic skin response (GSR) data were acquired, synchronized via hardware TTL pulses. The dataset supports research into physiological and neural correlates of smartphone use and passive video viewing.

Participants

23

Channels

64 (10-10)

Citations

1

Size

6.12 GB

Version

v1.0.0

Updated

Aug 18, 2026

This dataset contains EEG recordings from participants undergoing laser-evoked pain stimulation at four individually calibrated intensity levels, applied to the left and right hand dorsum. Participants rated perceived pain intensity using a numerical rating scale (0-10) following each stimulus, across 80 trials in a two-factor repeated-measures within-subject design. The dataset supports research into the neural correlates of pain perception and intensity coding.

Participants

95

Channels

60 (10-10)

Size

300 GB

Version

v1.0.0

Updated

Aug 19, 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.

Participants

21

Channels

31 (10-10)

Size

15.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.

Participants

12

Channels

64 (biosemi)

Size

24.2 GB

Version

v1.0.0

Updated

Jul 10, 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).

Participants

18

Channels

19 (10-20)

Size

2.39 GB

Version

v1.0.0

Updated

Jul 10, 2026

The MET dataset comprises 128-channel (downsampled to 66-channel) EEG recordings from 20 participants during resting-state and music-listening conditions, designed to investigate music-induced emotional responses. Each participant underwent one resting-state session and twenty music-listening sessions, each corresponding to a distinct song lasting 130 seconds. The dataset is organized according to the BIDS specification for EEG data.

Participants

20

Channels

66 (10-10)

Size

13.1 GB

Version

v1.0.0

Updated

Sep 8, 2026

This dataset comprises 382 electroencephalographic recordings from 19 participants performing a P300 visual oddball paradigm with systematically varied stimulus properties. Participants completed three experimental sessions, each containing seven recordings with different numbers of visual stimuli (4-9) and flash types (standard flash or cartoon face overlay). EEG data were acquired from eight scalp electrodes at 256 Hz sampling rate, with detailed event markers encoding experimental phases and stimulus presentations.

Participants

19

Channels

9 (10-10)

Citations

3

Size

1.27 GB

Version

v1.0.0

Updated

Jul 22, 2026

This dataset comprises laser-evoked pain responses from 30 participants who received fixed-intensity nociceptive stimuli at discrete energy levels (low pain: 3J or 3.5J; high pain: 3.5J or 4J) while providing subjective pain intensity ratings. The study involved 30 stimulation trials organized in 3 blocks with concurrent neurophysiological recordings, designed to investigate the neural correlates of pain perception and subjective pain rating behavior.

Participants

223

Channels

64 (10-10)

Size

137 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings from 51 right-handed undergraduate participants collected at the University of Alberta, examining relationships between alpha/theta oscillatory dynamics and trait anxiety. Recordings include alternating eyes-open and eyes-closed resting blocks, accompanied by anxiety and personality questionnaire data. The dataset supports investigation into EEG correlates of trait anxiety and related psychological constructs.

Participants

51

Channels

256 (egi-geodesic)

Citations

6

Size

14.0 GB

Version

v1.0.0

Updated

Aug 18, 2026