Home › Datasets › task › Motor Imagery Decoding (left-hand vs right-hand)
Motor Imagery Decoding (left-hand vs right-hand) datasets
archive 2025-07-28
17 datasets carry the task tag "Motor Imagery Decoding (left-hand vs right-hand)" (the task itself: Motor Imagery Decoding (left-hand vs right-hand)), ordered by the archive's paper count. Page 1 of 1: 17 shown of 17. Facet routes are this site's own (the archive records the tag string, not a page).
The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.
Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets
Motor Imagery Decoding (left-hand vs right-hand) datasets 1–17 of 17
This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers [2].
3 papers · 0 benchmarks
High-gamma dataset discribed in Schirrmeister et al.
2 papers · 0 benchmarks
AlexMI (Alex Motor Imagery dataset)
Alex Motor Imagery dataset.
0 papers · 0 benchmarks
BMI/OpenBMI dataset for MI.
0 papers · 0 benchmarks
BNCI 2014-001 Motor Imagery dataset Dataset IIa from BCI Competition 4 [1].
0 papers · 0 benchmarks
Dataset Description This data set consists of EEG data from 9 subjects.
0 papers · 0 benchmarks
Dataset description This data set consists of EEG data from 9 subjects of a study published in [1].
0 papers · 0 benchmarks
Dataset description We acquired the EEG from three Laplacian derivations, 3.5 cm (center-to- center) around the electrode positions (according to International 10-20 System of Electrode Placement) C3 (FC3, C5, CP3 and C1), Cz (FCz, C1, CPz…
0 papers · 0 benchmarks
Dataset description We provide EEG data recorded from nine users with disability (spinal cord injury and stroke) on two different days (sessions).
0 papers · 0 benchmarks
Data Acquisition EEG and NIRS data was collected in an ordinary bright room.
0 papers · 0 benchmarks
Dataset Description We conducted a BCI experiment for motor imagery movement (MI movement) of the left and right hands with 52 subjects (19 females, mean age ± SD age = 24.8 ± 3.86 years); Each subject took part in the same experiment, and…
0 papers · 0 benchmarks
Dataset description We recruited 15 healthy subjects aged between 22 and 40 years with a mean age of 27 years (standard deviation 5 years).
0 papers · 0 benchmarks
Dataset from the article Evaluation of EEG oscillatory patterns and cognitive process during simple and compound limb motor imagery [1].
0 papers · 0 benchmarks
Dataset from the article A Fully Automated Trial Selection Method for Optimization of Motor Imagery Based Brain-Computer Interface [1].
0 papers · 0 benchmarks
Data Acquisition EEG and NIRS data was collected in an ordinary bright room.
0 papers · 0 benchmarks
BMI/OpenBMI dataset for MI.
0 papers · 0 benchmarks
Physionet MI dataset: https://physionet.org/pn4/eegmmidb/ This data set consists of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers [2].
0 papers · 0 benchmarks
Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.