on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004830-blue…
- Participants
- 12
- Size
- 2.19 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neuroimaging" · page 7 of 10 · ranked by relevance
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- nm000156
Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025
EEG Zarr verified- Participants
- 37
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 2.59 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005473
29 By BP
EEG[
- Size
- 24.0 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006459
High-DensityvSparsefNIRS_WordColorStroop_Sparse_Anderson_2025
NIRS[ contains multi-day EEG recordings from 51 healthy, right-handed, BCI-naive subjects performing a motor imagery brain-computer interface paradigm across three sessions per subject. Participants imagined left-hand, right-hand, or (for a subset of 11 subjects) foot movements in response to visual and auditory cues, yielding 39,600 trials in total. The dataset is intended for benchmarking motor imagery classification algorithms such as CSP, FBCSP, EEGNet, deepConvNet, and FBCNet, and was converted to BIDS format using MOABB.
- Participants
- 51
- Channels
- 59 (10-10)
- Citations
- 34
- HED
- v8.4.0
- Size
- 154 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- on007990
Subjective tinnitus severity correlates with objective changes in human auditory cortex as measured by functional near-infrared spectroscopy
NIRS[ — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEGA comprehensive EEG dataset comprising 54 healthy subjects performing three major brain-computer interface (BCI) paradigms: motor imagery (MI), event-related potential (ERP), and steady-state visually evoked potential (SSVEP) across two sessions. The dataset investigates BCI illiteracy rates and performance variations, revealing that while MI showed the highest illiteracy rate (53.7%), all participants could control at least one BCI paradigm. Data were acquired at 1000 Hz using 62 EEG channels with concurrent electromyography recordings.
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 99
- HED
- v8.4.0
- Size
- 121 GB
- Version
- v1.0.5
- Updated
- Aug 18, 2026
- on007477
TimeSeries BIDS converted
NIRS[. It is a supplementary companion to Poetry Assessment EEG Dataset 1, including participants whose EEG data were acquired in segmented sessions and later concatenated, excluded from primary PSD analyses but retained for completeness. The study investigates neural and psychological correlates of aesthetic appreciation, emotional response, and creativity judgments in response to poetic language.
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005963
FRESH Motor Dataset
NIRS[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005963-blue…
- Participants
- 10
- Size
- 234 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026