on003483
Logical reasoning study
MEG
<!-- nemar:provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source…
- Participants
- 21
- Size
- 68.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "consumer-grade neuroimaging" · page 7 of 10 · ranked by relevance
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- nm000242
Visual imagery EEG dataset from Gao et al 2026
EEGThis dataset contains 32-channel EEG recordings from 22 healthy adults performing a visual imagery task involving 10 categories of animals, figures, and objects. Data were collected across two sessions per subject using a Neuracle NeuSenW32 system at 1000 Hz sampling rate, and are formatted according to BIDS for use in brain-computer interface research. The dataset supports evaluation of classification approaches such as CSP and EEGNet for decoding imagined visual categories from EEG signals.
- Participants
- 22
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 75.4 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- on004196
Bimodal dataset on Inner speech
ANAT EEG FMAP FUNC…Multimodal datasets of brain data enable the fusion of neuroimaging modalities with…
- Participants
- 4
- Channels
- 64 (10-10)
- Citations
- 27
- Size
- 9.33 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005777
Electrical_Morphine_Placebo_2018
NIRS[, comprising 63-channel, 500 Hz recordings from healthy subjects performing a four-class motor imagery task (rest, left hand, right hand, feet) during an online BCI racing game (Cybathlon2020IC). The dataset was designed to benchmark transfer learning and domain adaptation methods for subject-independent, cross-dataset EEG-based brain-computer interfacing.
- Participants
- 3
- Channels
- 63 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.17 GB
- Version
- v1.0.6
- Updated
- Aug 20, 2026
- on007719
Cambridge_data_resting
NIRS[
- Citations
- 61
- Size
- 253 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004851
HID
EEG[
- Citations
- 2
- Size
- 56.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006648
Poetry Assessment EEG Dataset 1
EEGThis dataset comprises 64-channel EEG recordings and behavioural ratings from 47 participants who read and evaluated 210 short English-language texts, including Haiku, Senryu, and non-poetic Control texts. Each text was rated on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. The dataset supports research into the neural and cognitive processes underlying aesthetic and creative engagement with poetic language, and includes resting-state EEG segments recorded before and after the experimental session.
- Participants
- 47
- Channels
- 64 (10-10)
- Size
- 45.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005929
Motion-Yucel2014
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005929-blue…
- Participants
- 7
- Size
- 68.5 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026