nm000150
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 1
BEH
…In experiment 1 we only performed eye tracking, where our subjects watched…
- Participants
- 27
- Size
- 881 MB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
Discover datasets
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- nm000235
Eye-BCI multimodal MI/ME dataset from Guttmann-Flury et al 2025
EEG Zarr…Dataset combining EEG, eye-tracking, and high-speed video for ocular activity…
- Participants
- 31
- Channels
- 66 (10-10)
- Citations
- 13
- HED
- v8.4.0
- Size
- 4.65 GB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
- on004123
BCIT Traffic Complexity
EEG Zarr…Subjects were then outfitted and prepped for eye tracking and EEG acquisition…
- Participants
- 29
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 17.5 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
- on004657
Driving with Autonomous Aids
EEG Zarr…Such factors will include real-time tracking of variables such as task…
- Participants
- 24
- Channels
- 64 (10-10)
- HED
- v8.1.0
- Size
- 43.1 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on004598
LFP during linear track in 6-month old TgF344-AD rats
EEG ZarrLocal field potential (LFP) recordings collected from TgF344-AD rats, a transgenic model of Alzheimer's disease, at 6 months of age while the animals traversed a linear track. The dataset is organized in BIDS format and supports investigation of hippocampal network activity in early-stage Alzheimer's disease pathology.
- Participants
- 9
- Channels
- 14 (other)
- Size
- 26.7 GB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- nm000113
2020 BCI competition, track 3
EEG ZarrEEG recordings from 15 participants performing imagined speech of five commands ("Hello", "Help me", "Stop", "Thank you", "Yes"), released for the 2020 BCI Competition Track 3. The data are split into training, validation and test runs to support machine-learning decoding of imagined speech for brain-computer interfaces. The dataset was converted from the original MATLAB files to BIDS-compliant EDF with trial annotations.
- Participants
- 15
- Channels
- 64 (10-10)
- Size
- 585 MB
- Version
- v1.0.0
- Updated
- Mar 14, 2026
- on007262
Cognitive Workload 8-level arithmetic
EEG Zarr…Pupil Labs Pupil Core eye tracking with infrared illuminators; LSL relay with…
- Participants
- 18
- Channels
- 19 (10-20)
- Citations
- 1
- Size
- 1.92 GB
- Version
- v1.0.0
- Updated
- Mar 4, 2026
- on007169
Multimodal Cognitive Workload n-back Task, 4 Difficulties
EEG Zarr…Pupil Labs Pupil Core eye tracking with infrared illuminators; LSL relay with…
- Participants
- 18
- Channels
- 19 (10-20)
- Size
- 2.13 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- nm000318
Batista2022: Motor-imagery EEG during NeuRow VR/haptics BCI training
EEGThis dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.
- Participants
- 20
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 5.48 GB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on002338
A multi-modal human neuroimaging dataset for data integration: simultaneous EEG and fMRI acquisition during a motor imagery neurofeedback task: XP2
ANAT EEG FUNC ZarrThis 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