Discover datasets

This dataset contains functional near-infrared spectroscopy (fNIRS) recordings collected during a word-color Stroop task using a sparse fNIRS montage. It accompanies a study comparing high-density, multi-distance fNIRS with sparse configurations for detecting task-related brain activity. The data are organized in BIDS format and are mirrored on NEMAR from OpenNeuro.

Participants

17

Size

169 MB

Version

v1.0.0

Updated

Jun 18, 2026

…University of Michigan – Deep Blue Data. > https://doi.org/10.7302/746w…

Participants

45

Channels

60 (other)

Citations

91

Size

3.88 GB

Version

v1.1.3

Updated

Jul 3, 2026

EEG dataset investigating the neural representation of consciously seen and unseen information. The recordings were collected by Rodríguez-San Esteban, Chica, and González-López and are shared in BIDS format. The dataset is mirrored on NEMAR from OpenNeuro (ds005273).

Participants

33

Channels

63 (10-10)

Size

44.4 GB

Version

v1.0.0

Updated

Jun 26, 2026

…the paper "Model-based aversive learning in humans is supported by preferential…

Participants

28

Citations

3

Size

302 GB

Version

v1.0.0

Updated

Jun 22, 2026

Simultaneous EEG and fMRI recordings from healthy volunteers who reported their confidence in the accuracy of decisions they either committed themselves or merely observed. The dataset supports analysis of postdecisional contributions to metacognition and includes raw fMRI, BrainVision EEG, T1 anatomical scans and field maps, along with preprocessed EEG and fMRI derivatives.

Participants

20

Size

429 GB

Version

v1.0.0

Updated

Jun 21, 2026

…In the active learning group, participants completed a review session using the…

Participants

21

Channels

31

Size

1.32 GB

Version

v1.0.0

Updated

Jun 29, 2026

This dataset contains behavioral events and intracranial EEG recordings from a delayed free recall task with closed-loop electrical stimulation delivered during word encoding. A logistic regression classifier trained on participants' prior free recall sessions predicts subsequent recall from encoding-period neural activity, and stimulation is triggered when predicted recall is low. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.

Participants

18

Size

34.7 GB

Version

v1.0.0

Updated

Jun 27, 2026

This dataset contains high-density EEG recordings collected during a visual stimulation task. Data were converted from BrainVision format (.vhdr/.vmrk/.eeg) to the EEG-BIDS specification, with a single session per participant. No acquisition-time filters or offline preprocessing are included.

Participants

31

Channels

64

Size

17.6 GB

Version

v1.0.0

Updated

Jun 29, 2026

…Online performance is reported for three completely unsupervised learning methods: (1) learning…

Participants

12

Channels

31 (10-10)

Citations

27

HED

v8.4.0

Size

4.81 GB

Version

v1.0.3

Updated

Oct 8, 2026

…For learning trial 1, participants are placed at a random location at…

Participants

58

Size

107 GB

Version

v1.0.0

Updated

Jun 27, 2026