Discover datasets

EEG recordings from 32 participants performing motor imagery of sit-to-stand and stand-to-sit movements, collected in offline and online brain-computer interface (BCI) phases. Signals were recorded from 17 channels (10-20 placement) at 250 Hz while visual cues on a screen guided motor imagery and idle-state trials. Offline data were used to train machine learning models that then provided real-time task detection in the online phase.

Participants

32

Channels

17 (10-10)

Size

2.03 GB

Version

v1.0.0

Updated

Jun 20, 2026

A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.

Participants

7

Channels

60

Size

3.62 GB

Version

v1.0.0

Updated

Jun 30, 2026

Raw 64-channel EEG, ECG, PPG and behavioral recordings from 30 healthy young adults (18–32 years) during resting state and a verbal working memory digit-span task with serial recall. The resting session alternated eyes-closed and eyes-open blocks followed by passive cartoon viewing. In the working memory task, seven-digit sequences were presented visually either simultaneously or sequentially at different rates and with different inter-stimulus intervals, allowing study of how presentation mode affects neural oscillations and peripheral physiology.

Participants

30

Channels

63 (10-10)

Citations

3

Size

41.4 GB

Version

v1.0.0

Updated

Jun 29, 2026

EEG recordings from participants performing two reversal learning tasks that differ in reinforcer type: monetary reward versus avoidance of an aversive loud white noise burst. In the reward task, positive feedback meant a gain of 10 cents and negative feedback meant no gain. In the punishment task, positive feedback meant the noise burst was successfully avoided and negative feedback meant the noise was delivered. Noise intensity was titrated per participant to match the motivational value of the 10 cent reward.

Participants

26

Channels

66 (10-10)

Citations

10

Size

31.5 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).

Participants

34

Channels

63 (10-10)

Citations

2

Size

61.2 GB

Version

v1.0.0

Updated

Jun 30, 2026

A longitudinal MEG dataset investigating brain activity during early skill learning, overnight consolidation, and longer-term retention in 31 healthy right-handed adults. Participants performed a sequential finger tapping task with the non-dominant left hand across up to three MEG sessions (initial training, about 24 hours later, and about 30 days later), with resting-state scans before and after practice. Anatomical MRI, behavioral responses, eye tracking and pupillometry, and forearm EMG were also recorded and synchronized with MEG.

Participants

31

Size

95.8 GB

Version

v1.0.0

Updated

Jun 29, 2026

Raw 64-channel EEG, electrocardiography, photoplethysmography, pupillometry and behavioral data from 86 participants during 4 minutes of eyes-closed rest and a digit span serial recall task. Participants memorized or passively listened to auditory digit sequences of 5, 9, or 13 items. The dataset supports work on cognitive load discrimination, event-related and oscillatory dynamics during encoding and maintenance, and links between working memory, central and peripheral physiology.

Participants

86

Channels

63 (10-10)

Citations

65

Size

253 GB

Version

v1.0.0

Updated

Jun 22, 2026

A raw multimodal dataset from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. It includes EEG, fNIRS, ECG, EMG, Biodex torque/kinematics, push-button responses, and subjective ratings of sleepiness and cognitive load. The data are organized in BIDS and are unprocessed exports from the acquisition systems.

Participants

30

Channels

32 (10-10)

Size

4.21 GB

Version

v1.0.0

Updated

Jun 30, 2026

This dataset provides simultaneous EEG and fNIRS recordings from 12 participants performing a silent naming task and three sensory-based imagery tasks (visual, auditory, tactile) on objects from the semantic categories of animals and tools. It supports research on semantic decoding and brain-computer interfacing. Stimulus images and example Python scripts for loading the data with MNE and MNE-BIDS are included.

Participants

12

Channels

64 (biosemi)

Citations

11

Size

24.2 GB

Version

v1.0.0

Updated

Jun 24, 2026

This dataset contains EEG/ERP recordings from a randomized controlled trial comparing forward span training, backward span training, and no-intervention control groups on working memory. Recordings were collected at pre-, mid-, and post-test while participants performed a distractor version of the change detection task, and behavioral data were collected from additional change detection and suppress tasks. The data support analyses of working memory maintenance and interference control, indexed by Kmax and contralateral delay activity (CDA).

Participants

71

Citations

5

Size

77.4 GB

Version

v1.0.0

Updated

Jun 23, 2026