Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6
datasets available to search
ShareScore release 0.9.0
Dataset results
6 results for “visuomotor learning”
EEG Recordings During a 3D Visuomotor Learning Task
<p>This is a data set of EEG recordings and corresponding kinematic data during a 3D visuomotor learning task performed by thirty-four subjects. Alongside a readme, the folder consists of thirty-four .mat files for each participants' data and a channels.csv file for EEG recording channel locations. When using this data please cite:</p> <p>Ozdenizci, Ozan, et al. "Neural Signatures of Motor Skill in the Resting Brain." <em>2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC),</em> 2019.</p> <p> </p>
Data for Manuscript "Changes in P300 Latency and Amplitude Reflect Expertise Acquisition in a Football Visuomotor Learning Task"
<p>Open-access data for the manuscript "Changes in P300 Latency and Amplitude Reflect Expertise Acquisition in a Football Visuomotor Learning Task". Includes:</p> <p>Grand Average dEEG file containing data from all days and all conditions. .csv file outputs used for all analyses. .rmd file detailing the statistical workflow used to obtain the stats presented in the manuscript.</p>
NMDA receptors in visual cortex are necessary for normal visuomotor integration and skill learning
<p>Raw data and Matlab code to generate the figures of the publication "NMDA receptors in visual cortex are necessary for normal visuomotor integration and skill learning" <a href="https://doi.org/10.7554/eLife.71476">https://doi.org/10.7554/eLife.71476</a>. Run generate_NKO_figures.m to produce all figures in the publication. </p>
Dataset: Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning
<p>Supplementary Data for <em><strong>Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning</strong></em><em><strong> </strong></em>article</p> <p>Dataset associated with the following publication:</p> <p>Maurer, L. K., Joch, M., Hegele, M., Maurer, H. & Müller, H. (2019). Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning. <em>Journal of Vision</em>, <em>19(4):18</em>, 1-13. https://doi.org/10.1167/19.4.18</p>
Counteracting Learned Non-use Through Augmented Visuomotor Feedback in Virtual Reality (RGS)
ClinicalTrials.gov study NCT02657070. IPD Sharing: Not stated. Countries: 0. Publications: 5.
Explore the Effects of Cortical Priming on Visuomotor Stepping Learning in Persons With Chronic Stroke
ClinicalTrials.gov study NCT06681207. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.