Dataset licence facts About

EEGDash/eeg-mi-datasets

Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Licence facts reported by the dataset and its declared sources. Not legal advice, and not a grant of permission to use the dataset.

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Citation text from the card

Cite the works listed for each dataset you use.

- **BNCI2014_001:**
  - Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., Nolte, G., Pfurtscheller, G., Preissl, H., Schalk, G., Schlögl, A., Vidaurre, C., Waldert, S., & Blankertz, B. (2012). Review of the BCI Competition IV. *Frontiers in Neuroscience*, 6, 55. https://doi.org/10.3389/fnins.2012.00055
  - Brunner, C., Leeb, R., Müller-Putz, G. R., Schlögl, A., & Pfurtscheller, G. (2008). BCI Competition 2008 – Graz data set A. Graz University of Technology. https://lampx.tugraz.at/~bci/database/001-2014/description.pdf
- **BNCI2014_002:** Steyrl, D., Scherer, R., Faller, J., & Müller-Putz, G. R. (2016). Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier. *Biomedical Engineering / Biomedizinische Technik*, 61(1), 77–86. https://doi.org/10.1515/bmt-2014-0117
- **BNCI2014_004:**
  - Leeb, R., Lee, F., Keinrath, C., Scherer, R., Bischof, H., & Pfurtscheller, G. (2007). Brain–computer communication: motivation, aim, and impact of exploring a virtual apartment. *IEEE Transactions on Neural Systems and Rehabilitation Engineering*, 15(4), 473–482. https://doi.org/10.1109/TNSRE.2007.906956
  - Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., Nolte, G., Pfurtscheller, G., Preissl, H

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