NEMAR

Login is moving

Authentication for nemar.org is migrating from the legacy system to the new Cloudflare-backed identity. Until that ships, sign in via the CLI: 

npm install -g nemar-cli
nemar login
nm000127 NEMAR-native dataset

Kim2025 – 40-class beta-range SSVEP speller dataset

A 40-class steady-state visually evoked potential (SSVEP) brain-computer interface dataset designed to reduce visual fatigue through beta-range frequency stimulation (14.0–21.8 Hz). The dataset comprises 33-channel EEG recordings from 40 healthy participants performing a speller task across 6 sessions, with stimuli presented using the joint frequency-phase modulation (JFPM) approach. This resource supports the development and benchmarking of low-fatigue BCI applications.

EEG
Download zip Issues GitHub

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

  1. NeuroScience Gateway (NSG) portal.

    NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/nm000127), and submit.
    nsgportal.org →

  2. Local processing with nemar-cli.

    Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning. 

    npm install -g nemar-cli
nemar dataset clone nm000127
cd nm000127 && nemar dataset get
  3. Just the files.

    rclone, aria2c, or any HTTPS client works against data.nemar.org/nm000127/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.
DOI 10.82901/nemar.nm000127

![DOI](https://doi.org/10.82901/nemar.nm000127)

40-class beta-range SSVEP speller dataset

40-class beta-range SSVEP speller dataset.

Dataset Overview

  • Code: Kim2025BetaRange
  • Paradigm: ssvep
  • DOI: 10.1038/s41597-025-06032-2
  • Subjects: 40
  • Sessions per subject: 6
  • Events: 14=1, 15=2, 16=3, 17=4, 18=5, 19=6, 20=7, 21=8, 14.2=9, 15.2=10, 16.2=11, 17.2=12, 18.2=13, 19.2=14, 20.2=15, 21.2=16, 14.4=17, 15.4=18, 16.4=19, 17.4=20, 18.4=21, 19.4=22, 20.4=23, 21.4=24, 14.6=25, 15.6=26, 16.6=27, 17.6=28, 18.6=29, 19.6=30, 20.6=31, 21.6=32, 14.8=33, 15.8=34, 16.8=35, 17.8=36, 18.8=37, 19.8=38, 20.8=39, 21.8=40
  • Trial interval: [0.0, 5.0] s
  • File format: MAT

Acquisition

  • Sampling rate: 1024.0 Hz
  • Number of channels: 31
  • Channel types: eeg=31, misc=2
  • Montage: standard_1005
  • Hardware: BioSemi ActiveTwo
  • Software: OpenViBE
  • Reference: CMS/DRL
  • Ground: CMS/DRL near Pz
  • Sensor type: active
  • Line frequency: 60.0 Hz
  • Impedance threshold: 5 kOhm
  • Cap manufacturer: BioSemi
  • Electrode type: wet
  • Electrode material: Ag/AgCl

Participants

  • Number of subjects: 40
  • Health status: healthy
  • Age: mean=22.8, std=3.34, min=20, max=35
  • Gender distribution: male=25, female=15
  • BCI experience: 3 of 40 had prior SSVEP-BCI experience

Experimental Protocol

  • Paradigm: ssvep
  • Task type: speller
  • Number of classes: 40
  • Class labels: 14, 15, 16, 17, 18, 19, 20, 21, 14.2, 15.2, 16.2, 17.2, 18.2, 19.2, 20.2, 21.2, 14.4, 15.4, 16.4, 17.4, 18.4, 19.4, 20.4, 21.4, 14.6, 15.6, 16.6, 17.6, 18.6, 19.6, 20.6, 21.6, 14.8, 15.8, 16.8, 17.8, 18.8, 19.8, 20.8, 21.8
  • Trial duration: 5.0 s
  • Feedback type: none
  • Stimulus type: JFPM visual flicker
  • Stimulus modalities: visual
  • Primary modality: visual
  • Synchronicity: synchronous
  • Mode: offline
  • Training/test split: True

HED Event Annotations

Schema: HED 8.4.0 | Browse: https://www.hedtags.org/hed-schema-browser

  14
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/14

  15
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/15

  16
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/16

  17
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/17

  18
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/18

  19
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/19

  20
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/20

  21
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/21

  14.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/14_2

  15.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/15_2

  16.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/16_2

  17.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/17_2

  18.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/18_2

  19.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/19_2

  20.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/20_2

  21.2
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/21_2

  14.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/14_4

  15.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/15_4

  16.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/16_4

  17.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/17_4

  18.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/18_4

  19.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/19_4

  20.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/20_4

  21.4
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/21_4

  14.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/14_6

  15.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/15_6

  16.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/16_6

  17.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/17_6

  18.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/18_6

  19.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/19_6

  20.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/20_6

  21.6
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/21_6

  14.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/14_8

  15.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/15_8

  16.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/16_8

  17.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/17_8

  18.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/18_8

  19.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/19_8

  20.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/20_8

  21.8
    ├─ Sensory-event
    ├─ Experimental-stimulus
    ├─ Visual-presentation
    └─ Label/21_8

Paradigm-Specific Parameters

  • Detected paradigm: ssvep
  • Stimulus frequencies: [14.0, 14.2, 14.4, 14.6, 14.8, 15.0, 15.2, 15.4, 15.6, 15.8, 16.0, 16.2, 16.4, 16.6, 16.8, 17.0, 17.2, 17.4, 17.6, 17.8, 18.0, 18.2, 18.4, 18.6, 18.8, 19.0, 19.2, 19.4, 19.6, 19.8, 20.0, 20.2, 20.4, 20.6, 20.8, 21.0, 21.2, 21.4, 21.6, 21.8] Hz
  • Frequency resolution: 0.2 Hz

Data Structure

  • Trials: 240
  • Blocks per session: 6

Preprocessing

  • Data state: epoched

Signal Processing

  • Classifiers: CCA, FBCCA, ITCCA, TRCA, EEGNet
  • Feature extraction: CCA, FBCCA, TRCA
  • Frequency bands: stimulus_range=[14.0, 22.0] Hz; analysis=[13.0, 89.0] Hz
  • Spatial filters: CCA, TRCA

Cross-Validation

  • Method: leave-one-subject-out
  • Folds: 6
  • Evaluation type: withinsubject, crosssubject

BCI Application

  • Applications: speller
  • Environment: lab

Tags

  • Pathology: healthy
  • Modality: visual
  • Type: perception

Documentation

  • DOI: 10.1038/s41597-025-06032-2
  • License: CC BY 4.0
  • Investigators: Heegyu Kim, Kyungho Won, Minkyu Ahn, Sung Chan Jun
  • Senior author: Sung Chan Jun
  • Institution: Gwangju Institute of Science and Technology
  • Department: School of Electrical Engineering and Computer Science, GIST
  • Country: KR
  • Repository: Figshare
  • Data URL: https://doi.org/10.6084/m9.figshare.28806815.v2
  • Publication year: 2025
  • Ethics approval: GIST IRB, No. 20211201-HR-64-02-04
  • Keywords: SSVEP, BCI, beta range, visual fatigue, 40-class speller, JFPM, EEG

References

H. Kim, K. Won, M. Ahn, and S. C. Jun, "A 40-class SSVEP speller dataset: beta range stimulation for low-fatigue BCI applications," Scientific Data, vol. 12, p. 1751, 2025. DOI: 10.1038/s41597-025-06032-2 Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Hochenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896). https://doi.org/10.21105/joss.01896

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8

Generated by MOABB 1.4.3 (Mother of All BCI Benchmarks) https://github.com/NeuroTechX/moabb

Files

47 top-level entries · 8.07 GB total