
Part 2 of 5: sub6, sub7, sub8, sub9, sub10. Repackaged EEG data from Jeong et al. (2020), originally hosted on GigaDB (DOI: 10.5524/100788). Raw BrainVision recordings resampled from 2500 Hz to 1000 Hz for practical download sizes. All channels preserved (EEG + EMG + EOG). 25 subjects total (split across 5 Zenodo records), 3 sessions each, 3 tasks (reaching, multigrasp, twist) x 2 conditions (MI, realMove) = up to 18 recordings per subject per session. 71 channels, 1000 Hz, BrainVision format (.vhdr/.vmrk/.eeg). Paper: Jeong, J. H. et al. (2020). Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions. GigaScience, 9(10), giaa098. DOI: 10.1093/gigascience/giaa098
motor imagery, brain-computer interface, multimodal, EEG, upper limb, BCI
motor imagery, brain-computer interface, multimodal, EEG, upper limb, BCI
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
