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100 results for "time-domain features" · page 5 of 10 · ranked by relevance

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nm000343
Hinss et al. 2021 — Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications

EEG

This open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.

Participants

15

Channels

61 (10-10)

Citations

64

HED

v8.4.0

Size

4.04 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Marcel F. Hinss et al.
on005346
Naturalistic fMRI and MEG recordings during viewing of a reality TV show

ANAT FUNC MEG

…Participants responded using a button press, with a maximum response time of…

Participants

60

Citations

2

Size

112 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Jixing Li et al. OpenNeuro ds005346
on004018
EEG recordings for 200 object images presented in RSVP sequences at 5Hz or 20Hz

EEG

Imported from OpenNeuro ds004018

Participants

16

Citations

98

Size

10.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Grootswagers et al. OpenNeuro ds004018
on005406
EEG frequency tagging reveals the integration of dissimilar observed actions

EEG

[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005406-blue…

Participants

29

Channels

63 (10-05)

Size

13.3 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Silvia Formica et al. OpenNeuro ds005406
nm000301
Mainsah et al. 2025 — bigP3BCI: An Open, Diverse and Machine Learning Ready P300-based Brain-Computer Interface Dataset (Study D)

EEG

BigP3BCI Study D is a P300-based brain-computer interface dataset comprising EEG recordings from 17 healthy subjects performing a 6x6 character grid speller task. The dataset contains single-session recordings acquired at 256 Hz using 32-channel EEG with standard 10-20 montage, annotated with target and non-target event labels. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is formatted according to BIDS standards with HED event annotations for machine learning applications.

Participants

17

Channels

32 (10-10)

HED

v8.4.0

Size

2.41 GB

Version

v1.0.3

Updated

Aug 18, 2026

by Boyla Mainsah et al.
on004718
Le Petit Prince Hong Kong: Naturalistic fMRI and EEG dataset from older Cantonese speakers

ANAT EEG FUNC

…such as time-aligned speech segmentation and prosodic features, along with word…

Participants

52

Channels

64

Citations

3

Size

109 GB

Version

v1.0.0

Updated

Aug 19, 2026

by Mohammad Momenian et al. OpenNeuro ds004718
on004362
EEG Motor Movement/Imagery Dataset

EEG

Imported from OpenNeuro ds004362

Participants

109

Channels

64 (10-10)

Citations

99

HED

v8.1.0

Size

11.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Gerwin Schalk et al. OpenNeuro ds004362
on004010
MAVIS

EEG

…of sensory stimuli with distinct features. Participants detected targets in simultaneous audio…

Participants

24

Channels

64 (10-10)

Citations

82

Size

23.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Leonhard Waschke et al. OpenNeuro ds004010
nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from

EEG

This dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.

Participants

12

Channels

31 (10-10)

Citations

26

HED

v8.4.0

Size

4.81 GB

Version

v1.0.2

Updated

Aug 18, 2026

by David Hübner et al.
nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3

BEH EEG

…correct answers. - “Domain” question type is a general domain knowledge question that…

Participants

29

Channels

64 (10-10)

Size

7.44 GB

Version

v1.0.0

Updated

Jul 10, 2026

by Jens Madsen et al.