Discover datasets

This dataset contains preprocessed EEG data from Experiment 2 of a study investigating how changes in behavioral priority influence the accessibility of information held in working memory. The data are provided in BIDS format with accompanying HED annotations, derived from a related OpenNeuro dataset, and are intended to support analyses of working memory prioritization effects.

Participants

33

Channels

62 (10-10)

Size

10.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains preprocessed EEG data from a study investigating how internal selective attention is modulated by competition between endogenous and exogenous attentional factors. The study examines the temporal dynamics of attention allocation during tasks involving competing internal goals and external stimuli. Preprocessed data are provided in BIDS format alongside behavioral summary files for integrated analysis.

Participants

40

Channels

62 (10-10)

Citations

2

Size

12.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.

Participants

7

Channels

64 (10-10)

Size

12.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from an affective state reinforcement learning task performed by 54 community participants classified as light or heavy drinkers. The task involved alcohol-related imagery to examine reward-related neural responses, specifically the reward positivity, in relation to drinking status. Data were collected between 2019 and 2021 at the Clinical Research Center of the University of New Mexico.

Participants

54

Channels

66 (10-10)

Size

9.48 GB

Version

v1.0.0

Updated

Aug 19, 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 comprises EEG, physiological (ECG, respiration, EDA, EMG), and behavioural data collected in 2020 from 44 healthy adults (ages 21-40) during resting-state and task-based conditions. Tasks included a spontaneous deception paradigm (a gambling game requiring participants to report predictions truthfully or deceptively) and a cognitive control battery assessing processing speed, response selection, response inhibition, and conflict resolution. The dataset supports research into the neurophysiological correlates of deception and cognitive control processes.

Participants

45

Channels

139 (other)

Citations

4

Size

202 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, T1-weighted structural MRI, and video recordings from 25 participants performing real-world table tennis. Participants engaged in 60 minutes of table tennis play with a ball machine and a human opponent, along with 10 minutes of standing baseline recording. The dataset supports investigation of neural and physiological correlates of natural, whole-body motor behavior during a dynamic real-world sport task.

Participants

25

Channels

120 (other)

Citations

25

Size

523 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings examining anticipatory neural differences between attention and expectation processes. It was collected to investigate how these two cognitive mechanisms differentially modulate preparatory brain activity prior to stimulus presentation.

Participants

48

Channels

65 (10-10)

Size

59.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains MEG recordings from a study investigating how the human brain compresses regular binary sound sequences in working memory, testing the language of thought hypothesis. Participants listened to hierarchically structured sequences of two sounds varying in complexity, quantified via minimal description length, while occasional deviant sounds probed their internalized knowledge of sequence structure. The study aimed to characterize how brain activity relates to sequence complexity and predictive processing.

Participants

19

Citations

5

Size

23.4 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG and behavioural data from 9 participants performing a complex decision-making task simulating a pandemic emergency resource-allocation scenario. Participants, paired with an artificial agent, allocated resources across 64 sequences while EEG, ECG, and EOG signals were recorded, along with their subjective confidence in each decision. The dataset is intended to support research into neurophysiological correlates of strategic decision-making under uncertainty.

Participants

9

Channels

79 (10-10)

Size

22.3 GB

Version

v1.0.0

Updated

Aug 19, 2026