ArticleScientific data2026
Intention-Action Conflict EEG-Hand Kinematics Dataset for Unimanual Control under Congruent and Incongruent Conditions.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The Intention-Action Conflict EEG-Hand Kinematics Dataset (IACKD) is a joint resource for studying congruent and incongruent intention-action conditions during unimanual control. It comprises 7,040 trials from 15 participants. Each trial includes a 1-s pre-movement period and a movement-execution period. A target frame and a controllable ball define the task; ball color cues congruency (red = same direction; yellow = opposite). EEG was recorded with a 32-channel Compumedics Neuroscan system at 1024 Hz, and 3-D hand trajectories were captured with Leap Motion at 170 Hz. Streams are time-aligned, and complete preprocessing and alignment scripts are provided. Technical validation includes readiness potentials at C3/C4/Cz, μ/β-band ERD/ERS with post-movement β rebound, sub-30-ms cross-modal residuals on >99.375% of trials, and expected completion-time differences between congruent and incongruent conditions. IACKD is intended for reuse in intention decoding, continuous trajectory decoding, and evaluation of decoder robustness under conflict or perturbed feedback.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.