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raei/Brunner-2008-BCICompetition2008GrazDataSetA

BCI Competition IV Dataset 2a — Graz data set A This is an unofficial mirror of the dataset described by C. Brunner, R. Leeb, G. R. Müller-Putz, A. Schlögl, and G. Pfurtscheller (2008) at Graz University of Technology. Originally released as BCI Competition IV Dataset 2a (BCICIV2A), it is distributed by BNCI Horizon 2020 as 001-2014. This mirror is not affiliated with or endorsed by the dataset contributors, their institutions, BNCI Horizon 2020, or the competition organizers.… See the full description on the dataset page: https://huggingface.co/datasets/raei/Brunner-2008-BCICompetition2008GrazDataSetA.

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Dataset Card

BCI Competition IV Dataset 2a — Graz data set A

This is an unofficial mirror of the dataset described by C. Brunner, R. Leeb, G. R. Müller-Putz, A. Schlögl, and G. Pfurtscheller (2008) at Graz University of Technology. Originally released as BCI Competition IV Dataset 2a (BCICIV2A), it is distributed by BNCI Horizon 2020 as 001-2014. This mirror is not affiliated with or endorsed by the dataset contributors, their institutions, BNCI Horizon 2020, or the competition organizers.

Source and documentation

The 18 MATLAB files and the description PDF are unchanged from the BNCI downloads. The dataset card and checksum manifest provide mirror metadata; the manifest is not an upstream publisher manifest. No preprocessing or selection of subjects, trials, or channels has been applied.

Dataset summary

Nine participants completed two sessions on different days. Each session has six runs of 48 trials, for 288 trials per session and 5,184 trials in total. Each session contains 72 trials for each of four motor-imagery classes:

  1. 1.Left hand
  2. 2.Right hand
  3. 3.Both feet
  4. 4.Tongue

Signals comprise 22 EEG and three EOG channels sampled at 250 Hz. Acquisition used a 0.5–100 Hz band-pass filter and a 50 Hz notch filter. The EOG channels are provided for artifact processing and must not be used for classification under the original competition protocol.

Files A01T.mat through A09T.mat contain training sessions; A01E.mat through A09E.mat contain evaluation sessions. Both types contain 288 labels per file in this post-competition MATLAB distribution. The original description refers to the competition's GDF files, whose evaluation labels were withheld. A04T.mat has a shorter initial EOG block due to a documented technical problem.

License

BNCI Horizon 2020 lists the dataset under Creative Commons Attribution-NoDerivatives 4.0 International, with the Institute for Knowledge Discovery, Graz University of Technology, as licensor. Retain attribution and the license notice when sharing the unchanged source files.

Citation

Please cite the original dataset description and the competition review:

Brunner, C., Leeb, R., Müller-Putz, G. R., Schlögl, A., & Pfurtscheller, G. (2008). BCI Competition 2008 — Graz data set A.
Tangermann, M., Müller, K.-R., Aertsen, A., et al. (2012). Review of the BCI Competition IV. Frontiers in Neuroscience, 6, 55. https://doi.org/10.3389/fnins.2012.00055