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53d415f39c3d7b0c88b894d7b08d99bcdfe855ede63831d3691af1a45607fb62 A01E.mat
054f02e70cf9c4ada1517e9b9864f45407939c1062c6793516585c6f511d0325 A01T.mat
d63c454005d3a9b41d8440629482e855afc823339bdd0b5721842a7ee9cc7b12 A02E.mat
5ddd5cb520b1692c3ba1363f48d98f58f0e46f3699ee50d749947950fc39db27 A02T.mat
d4229267ec7624fa8bd3af5cbebac17f415f7c722de6cb676748f8cb3b717d97 A03E.mat
7e731ee8b681d5da6ecb11ae1d4e64b1653c7f15aad5d6b7620b25ce53141e80 A03T.mat
81916dff2c12997974ba50ffc311da006ea66e525010d010765f0047e771c86a A04E.mat
15850d81b95fc88cc8b9589eb9b713d49fa071e28adaf32d675b3eaa30591d6e A04T.mat
8b357470865610c28b2f1d351beac247a56a856f02b2859d650736eb2ef77808 A05E.mat
77387d3b669f4ed9a7c1dac4dcba4c2c40c8910bae20fb961bb7cf5a94912950 A05T.mat
bf67a40621b74b6af7a986c2f6edfff7fc2bbbca237aadd07b575893032998d1 A06E.mat
4dc3be1b0d60279134d1220323c73c68cf73799339a7fb224087a3c560a9a7e2 A06T.mat
b9aaec73dcee002fab84ee98e938039a67bf6a3cbf4fc86d5d8df198cfe4c323 A07E.mat
43b6bbef0be78f0ac2b66cb2d9679091f1f5b7f0a5d4ebef73d2c7cc8e11aa96 A07T.mat
0eedbd89790c7d621c8eef68065ddecf80d437bbbcf60321d9253e2305f294f7 A08E.mat
7a4b3bd602d5bc307d3f4527fca2cf076659e94aca584dd64f6286fd413a82f2 A08T.mat
5d79649a42df9d51215def8ffbdaf1c3f76c54b88b9bbaae721e8c6fd972cc36 A09E.mat
b28d8a262c779c8cad9cc80ee6aa9c5691cfa6617c03befe490a090347ebd15c A09T.mat
7914fdf5c8e04468c97d70486372405da4ed66fb1469160bec7cc27bd1676110 description.pdf

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. Left hand
  2. Right hand
  3. Both feet
  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

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