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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

Physionet MI (Physionet EEG Motor Movement/Imagery Dataset)
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. (EEG dataset and OpenBMI toolbox for three BCI paradigms)
BMI/OpenBMI dataset for MI.
0 papers · 0 benchmarks
BNCI 2014-001 Motor Imagery dataset. (BCI Competition 4, version IIa)
BNCI 2014-001 Motor Imagery dataset Dataset IIa from BCI Competition 4 [1].
0 papers · 0 benchmarks
BNCI 2014-002 Motor Imagery dataset (BCI Competition 4 IIa)
Dataset Description This data set consists of EEG data from 9 subjects.
0 papers · 0 benchmarks
BNCI 2014-004 Motor Imagery dataset. (Dataset B from BCI Competition 2008.)
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
Motor Imagery dataset from Ofner et al 2017 (Upper limb Motor imagery dataset from the paper)
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
Motor Imagey Dataset from Shin et al 2017 (Motor Imagery (Dataset A))
Data Acquisition EEG and NIRS data was collected in an ordinary bright room.
0 papers · 0 benchmarks
Munich Motor Imagery dataset (Motor imagery dataset from Grosse-Wentrup et al. 2009.)
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.