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Beetl2021-B is a preprocessed 32-channel EEG dataset from the NeurIPS 2021 BEETL competition, built to benchmark transfer learning for motor imagery decoding. It contains recordings from 2 healthy subjects performing four-class motor imagery (left hand, right hand, feet, rest) at 200 Hz, totaling 1590 trials. The dataset supports evaluation of cross-subject and cross-dataset generalization and domain adaptation in brain-computer interfaces.

Participants

2

Channels

32 (10-10)

Citations

1

HED

v8.4.0

Size

1.99 GB

Version

v1.0.5

Updated

Aug 20, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004849-blue…

Participants

1

Channels

64 (10-10)

HED

v8.1.0

Size

79.2 MB

Version

v1.0.0

Updated

May 13, 2026

This dataset contains simultaneous 64-channel EEG and fMRI recordings from 16 participants performing right-hand motor imagery with bimodal EEG-fMRI neurofeedback (experiment XP2). Participants were randomly assigned to receive either a mono-dimensional or a bi-dimensional feedback display. It includes raw and preprocessed EEG, BOLD fMRI, and EEG and BOLD neurofeedback scores, supporting multi-modal data integration research. It is designed to be combined with the companion XP1 dataset.

Participants

17

Size

25.9 GB

Version

v1.0.0

Updated

Jun 21, 2026

…Those single-neuron data are on DANDI as Dandiset 000207 (spike times…

Participants

16

Size

2.75 GB

Version

v1.0.0

Updated

Oct 8, 2026

A calibrated task subset of Kai J. Miller's library of human electrocorticographic (ECoG) data, comprising 111 recordings from 24 epilepsy patients with subdural electrode grids. Tasks include finger flexion, hand gestures, motor movement and imagery, and verb generation and noun reading. Data were recorded at 1 kHz and converted to BIDS in BrainVision format with source-documented amplitude calibration.

Participants

24

Size

14.0 GB

Version

v1.0.0

Updated

Oct 8, 2026

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004843-blue…

Participants

14

Channels

64 (10-10)

HED

v8.1.0

Size

7.66 GB

Version

v1.0.0

Updated

Jun 25, 2026

…provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source: [ds004598…

Participants

9

Channels

14 (other)

Size

26.7 GB

Version

v1.0.0

Updated

Jun 25, 2026

EEG dataset from twenty-one participants performing a continuous feedback learning task in which they predicted the final level of an animated rising bar. Cues (gnomes) differed in how predictable the outcome was (highly predictable, somewhat predictable, unpredictable), enabling study of feedback processing under varying outcome uncertainty. Points were awarded according to the accuracy of each guess.

Participants

21

Channels

31 (10-10)

Citations

1

Size

3.48 GB

Version

v1.0.0

Updated

Jun 23, 2026

This dataset contains electroencephalography (EEG) recordings collected to study cortical contributions to feedback sensorimotor control during reactive balance. It accompanies a paper examining how cortical activity relates to balance responses following perturbations. The data are organized in BIDS format with HED annotations.

Participants

17

Channels

32 (10-10)

Size

351 MB

Version

v1.0.0

Updated

Jun 25, 2026

…provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source: [ds006460…

Participants

17

Size

460 MB

Version

v1.0.0

Updated

Jun 18, 2026