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A large-scale Spanish EEG dataset comprising 60 sessions from 56 healthy participants recorded using 64-channel EEG during speech perception and silent speech production tasks. Participants listened to and silently repeated 30 daily-use Spanish sentences. This dataset enables development of subject-independent deep neural network models for perceived sentence classification, with applications to speech decoding and neuroprosthetics for individuals with speech disorders.

Participants

56

Channels

64 (10-10)

Size

25.2 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises MEG recordings collected to investigate the sustained neural representations of personally familiar people and places during a cued recall task. Participants were cued to recall familiar individuals and locations while brain activity was measured to examine the temporal dynamics of memory-related representations.

Participants

30

Size

76.7 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.

Participants

19

Citations

1

Size

11.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises electroencephalography (EEG) recordings from 21 participants performing a dynamic ship-steering task under four noise conditions: no noise, environmental noise only, controller noise only, and combined environmental and controller noise. Participants controlled a centrally presented rotating arrow to maintain target orientation while experiencing manipulated levels of environmental and controller noise. The task employed unstable dynamics based on the pole-and-cart problem, with performance measured by proximity to target and crash avoidance. This dataset provides rich behavioral and neural data for investigating decision-making, motor control, and adaptation under uncertainty. Note: Participant 12 should be excluded from event-locked analyses due to bad triggers (trigger cable was partially disconnected). The reaction time for the first button press in each round is not recorded in the standard event markers but is available in the participantActions column.

Participants

21

Channels

31 (10-10)

Size

3.30 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from twenty-one participants performing a continuous feedback learning task in which they predicted the final height of an animated rising bar following different predictive cues. The task manipulated outcome predictability (highly predictable, somewhat predictable, unpredictable) using cued gnome stimuli, allowing investigation of neural correlates of continuous feedback and reward prediction processing.

Participants

21

Channels

31 (10-10)

Size

3.48 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from two experiments investigating the cortical encoding of sound source elevation in humans. Subjects were presented with noise bursts from loudspeakers positioned at various elevations in a hemi-anechoic chamber, and were also tested on their ability to localize elevated sound sources. Experiment I used a deviant detection paradigm, while Experiment II used a one-back task involving sound elevation discrimination.

Participants

53

Channels

64 (other)

Size

18.2 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from 16 participants viewing object images presented in eight different 2-D rotations, using rapid visual streams at two presentation rates (5 Hz and 20 Hz). The data support investigation of rotation-tolerant object representations and the time course of high-level visual object processing. EEG data are formatted according to the BIDS standard.

Participants

16

Size

18.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains magnetoencephalography (MEG) recordings from a single infant subject participating in a study of auditory processing and phoneme learning, part of research investigating risk factors for dyslexia during sensitive periods of language development. The data support investigations into neural theta sampling and auditory deficits in infants at risk for dyslexia.

Participants

2

Citations

22

Size

1.78 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains intracranial electrocorticography (ECoG) recordings of Cortico-Cortical Evoked Potentials (CCEPs) from 74 patients aged 4-51 years, collected during clinical single pulse electrical stimulation (SPES) as part of the RESPect epilepsy surgery patient registry at UMC Utrecht. The data were used to study the developmental trajectory of neural transmission speed across the human lifespan. Electrode positions were localized using Freesurfer with Destrieux atlas labeling and mapped to MNI152 space.

Participants

74

Citations

54

Size

269 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises EEG recordings from twenty participants performing a temporal scaling task involving learning of three temporal intervals. Two interleaved subtasks were used: a Production task, in which participants reproduced a short, medium, or long interval, and a Perception task, in which participants judged whether a computer-generated interval matched the target duration. Visual feedback (correct/incorrect) was provided after each trial in both tasks, enabling investigation of neural correlates of temporal interval learning and evaluation.

Participants

20

Channels

37 (10-10)

Citations

5

Size

7.21 GB

Version

v1.0.0

Updated

Aug 19, 2026