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100 results for "consumer-grade neuroimaging" · page 7 of 10 · ranked by relevance

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on006647
Poetry Assessment EEG Dataset 2

EEG

This dataset comprises 64-channel EEG recordings and behavioral ratings from 4 participants (P105, P141, P142, P146) who evaluated 210 short English-language texts (70 Haiku, 70 Senryu, and 70 control texts) on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. Poetry Assessment EEG Dataset 2 is a subset of a larger 51-participant study; these 4 participants were excluded from primary analyses because their EEG recordings were acquired in segments due to session interruptions and subsequently concatenated during preprocessing. The dataset includes resting-state EEG, trial-by-trial behavioral ratings, and psychometric responses (PANAS, Openness, Curiosity, VVIQ, AVIQ, MAAS, AReA), and is provided for completeness and transparency to enable users to apply their own quality control pipelines.

Participants

4

Channels

64 (10-10)

Size

4.29 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Soma Chaudhuri et al. OpenNeuro ds006647
nm000263
Visual object ERP EEG dataset (Kaneshiro et al. 2015)

EEG

A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 trials of photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects) with 72 unique images per category, each presented for 500 ms. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.

Participants

10

Channels

124 (egi-geodesic)

HED

v8.4.0

Size

469 MB

Version

vv1.0.1

Updated

Jul 10, 2026

by Blair Kaneshiro et al.
nm000242
Visual imagery EEG dataset from Gao et al 2026

EEG

A 32-channel EEG dataset comprising visual imagery recordings from 22 healthy participants performing mental imagery tasks of 10 distinct categories (animals, geometric figures, and objects). The dataset contains 16,800 trials collected across 2 sessions per subject with simultaneous EEG acquisition at 1000 Hz, designed to support brain-computer interface research and classification algorithm development.

Participants

22

Citations

1

HED

v8.4.0

Size

31.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Jing'ao Gao et al.
on002312
OcularLDT

MEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on002312-blue…

Participants

19

Size

35.0 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Teon L Brooks et al. OpenNeuro ds002312
on006545
Reliability-Dubois2024

NIRS

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006545-blue…

Participants

49

Size

46.7 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Kernel OpenNeuro ds006545
nm000268
Shin et al. 2017 (Experiment B) — Open Access Dataset for EEG+NIRS Single-Trial Classification

EEG

This open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with 20 trials per session. The dataset includes preprocessed EEG data (30 channels, 200 Hz sampling rate) with comprehensive artifact correction and has been validated for single-trial classification using common spatial patterns and linear discriminant analysis.

Participants

29

Channels

30 (10-05)

Citations

94

HED

v8.4.0

Size

1.87 GB

Version

vv1.0.1

Updated

Jul 10, 2026

by Jaeyoung Shin et al.
on003483
Logical reasoning study

MEG

 ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source…

Participants

21

Size

68.3 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Cognitive and Computational Neuroscience Laboratory (UPM - UCM). et al. OpenNeuro ds003483
on005274
UV_EEG

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005274-blue…

Participants

22

Channels

6 (10-10)

Size

71.8 MB

Version

vv1.0.0

Updated

Jul 10, 2026

by Yukako Ito OpenNeuro ds005274
nm000220
BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark

EEG

Beetl2021-A is a preprocessed motor imagery EEG dataset from the BEETL Competition Task 2 (NeurIPS 2021), comprising data from 3 healthy subjects collected during an online racing game (Cybathlon2020IC). The dataset contains 63-channel EEG recordings at 500 Hz with four-class motor imagery tasks (rest, left hand, right hand, feet) and serves as a benchmark for evaluating transfer learning and domain adaptation methods across heterogeneous EEG datasets and subjects. This dataset is part of a larger competition focused on advancing transfer learning for subject independence and cross-dataset generalization in brain-computer interfacing.

Participants

3

Channels

63 (10-10)

HED

v8.4.0

Size

216 MB

Version

vv1.0.1

Updated

Jul 10, 2026

by [Unspecified1] et al.
on005410
Semantic_conditioning

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005410-blue…

Participants

81

Channels

63 (10-10)

Size

19.8 GB

Version

vv1.0.0

Updated

Jul 10, 2026

by Yuri G. Pavlov OpenNeuro ds005410