nm000133
Alljoined1
EEG Zarr unverifiable
- Participants
- 8
- Citations
- 6
- Size
- 7.74 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
Discover datasets
Showing 10 of 673 datasets · page 64 of 68
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- nm000134
Alljoined-1.6M
EEG- Participants
- 20
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 7.75 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002718
Face processing EEG dataset for EEGLAB
ANAT EEGImported from OpenNeuro ds002718
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 81
- Size
- 4.30 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000132
ERP CORE
EEG Zarr verified- Participants
- 40
- Channels
- 30 (10-10)
- Citations
- 92
- HED
- v8.4.0
- Size
- 17.5 GB
- Version
- v1.1.1
- Updated
- Jul 10, 2026
- on003825
Human electroencephalography recordings from 50 subjects for 22,248 images from 1,854 object concepts
EEGImported from OpenNeuro ds003825
- Participants
- 50
- Channels
- 63
- Citations
- 1
- Size
- 59.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007176
Longitudinal EEG Test-Retest Reliability in Healthy Individuals
EEGImported from OpenNeuro ds007176
- Participants
- 45
- Channels
- 58 (10-10)
- Citations
- 4
- Size
- 21.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000131
Wang2021 – Combined SSVEP dataset with single stimulus location for two inputs
EEG Zarr verifiedA derivative SSVEP dataset comprising EEG recordings from 8 healthy subjects performing a combined brain-computer interface task with overlapping visual stimuli at a single location. Participants attended to one of four arrow directions (up, down, left, right), each flickering at distinct frequencies (14.17, 12.14, 9.44, 7.73 Hz) derived from an 85 Hz CRT refresh rate. Data were acquired at 1000 Hz using a 32-channel ANT Neuro system across two experimental schemes examining moving dot-formed arrows and space/object-based attention.
- Participants
- 8
- Channels
- 31 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 5.30 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000130
Liu2022 – eldBETA SSVEP benchmark dataset for elderly population
EEG Zarr verifiedThis dataset (eldBETA) provides 64-channel SSVEP-BCI EEG recordings from 100 elderly participants (aged 51-81, mean 63.17 years) performing a 9-target speller task using joint frequency and phase modulation (JFPM) stimuli. Each subject completed 7 sessions of 7 blocks with 9 trials each, recorded at 1000 Hz using a Synamps2 (Neuroscan) amplifier with a Cz reference. The dataset is intended as a benchmark for SSVEP-BCI algorithms in aging populations and has been converted to BIDS format with HED event annotations for use in the MOABB benchmarking framework.
- Participants
- 100
- Channels
- 64 (10-10)
- Citations
- 29
- HED
- v8.4.0
- Size
- 34.8 GB
- Version
- v1.0.3
- Updated
- Aug 20, 2026
- nm000129
Liu2020 – BETA SSVEP benchmark dataset
EEG Zarr verifiedThe BETA SSVEP benchmark dataset comprises 64-channel EEG recordings from 70 healthy subjects performing a 40-target cued-spelling brain-computer interface task using steady-state visual evoked potentials (SSVEP). Recorded in a naturalistic classroom environment with joint frequency and phase modulation stimuli, this dataset provides a realistic benchmark for SSVEP-BCI applications with frequencies ranging from 8.0 to 15.8 Hz and 3-second trial durations.
- Participants
- 70
- Channels
- 64 (10-10)
- Citations
- 97
- HED
- v8.4.0
- Size
- 7.72 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000128
Dong2023 – 59-subject 40-class SSVEP dataset
EEG Zarr verifiedA 59-subject steady-state visually evoked potential (SSVEP) dataset comprising 8-channel EEG recordings from healthy adolescents (aged 10-16 years) performing a 40-target SSVEP-based brain-computer interface task. The dataset includes 4 blocks of 160 trials per subject using joint frequency and phase modulation stimuli with frequencies ranging from 8.0 to 15.8 Hz, recorded at 250 Hz sampling rate from occipital electrodes. This resource supports the development and benchmarking of SSVEP decoding algorithms and BCI applications.
- Participants
- 59
- Channels
- 8 (10-10)
- Citations
- 3
- HED
- v8.4.0
- Size
- 1.04 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026