Discover datasets

This dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.

Participants

30

Channels

32 (10-10)

Citations

1

Size

4.21 GB

Version

v1.0.0

Updated

Aug 18, 2026

Imported from OpenNeuro ds004855

Participants

1

Channels

64 (10-10)

Citations

3

HED

v8.1.0

Size

78.9 MB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds003195

Participants

10

Channels

19 (10-20)

Citations

1

Size

121 MB

Version

v1.0.0

Updated

Jul 10, 2026

Beetl2021-A is a preprocessed motor imagery EEG dataset comprising 63-channel recordings from 3 healthy subjects acquired during an online BCI racing game with four-class motor imagery tasks (rest, left hand, right hand, feet). Sampled at 500 Hz with 1490 total trials, this dataset serves as a benchmark for evaluating transfer learning and domain adaptation methods in brain-computer interfaces, with emphasis on subject independence and cross-dataset generalization.

Participants

3

Channels

63 (10-10)

Citations

2

HED

v8.4.0

Size

2.17 GB

Version

v1.0.5

Updated

Aug 18, 2026

This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.

Participants

34

Channels

128 (biosemi)

Citations

5

Size

1.30 TB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises two reversal learning tasks designed to investigate differential neural processing of reward gain and punishment avoidance. Participants performed parallel tasks using distinct reinforcers: monetary reward (gain/non-gain outcomes) and primary threat avoidance (noise burst avoidance/application), with noise intensity individually titrated to match subjective value of monetary rewards. The dataset enables investigation of how the brain differentially encodes appetitive versus aversive learning contingencies.

Participants

26

Channels

66 (10-10)

Citations

20

Size

31.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds007315

Participants

2

Channels

32 (10-10)

Citations

1

Size

1.09 GB

Version

v1.0.0

Updated

Jul 10, 2026

fNIRS finger tapping with lateralized auditory cues. 5 subjects, 56 NIRS channels (8 sources, 16 detectors incl. 8 short), NIRx NIRScout, 7.8 Hz, SNIRF format. 3 conditions x 30 trials. Zenodo DOI: 10.5281/zenodo.6575155

Participants

5

Size

47.4 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains raw EEG data from a study investigating real-time, personalized brain state-dependent transcranial magnetic stimulation (TMS) in healthy adults. The research demonstrates that personalized whole-brain activity patterns can predict human corticospinal tract activation in real-time, with potential applications for brain stimulation therapies. Data includes EEG recordings collected during TMS-guided brain state-dependent stimulation protocols, where TMS serves as the intervention guided by real-time EEG decoding.

Participants

19

Channels

70 (10-10)

Citations

12

Size

88.7 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from elderly patients with dementia undergoing 40Hz auditory gamma-band entrainment sessions. The study investigates whether auditory stimulation modulated at 40Hz can entrain brain oscillations and enhance functional connectivity, particularly within the default mode network, as a potential intervention for Alzheimer's disease symptoms. Both short and long entrainment sessions were conducted to accommodate participant tolerance, with EEG data collected using a 19-channel 10/20 system setup.

Participants

35

Channels

19 (10-20)

Citations

32

Size

356 MB

Version

v1.0.0

Updated

Aug 19, 2026