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 “Co-manipulation”
Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback [Dataset]
<p>Dataset used for the paper submitted to RO-MAN 2022</p> <p>Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback<br> Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi</p>
Mobile co-manipulation data
<p>Data acquired during large part co-manipulation processes. Specifically, trajectory percentage and trajectory deviation.</p> <p>Notation of files (i.e. "u2_AB_500.csv"):</p> <ul> <li><strong>User:</strong> u2 would be the second subject of the experiment.</li> <li><strong>Path:</strong> Two options, AB (station A to station B) and BA (station B to A).</li> <li><strong>Maximum allowed distance:</strong> Value which defined the width of the lane.</li> </ul>
Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback [Video]
<p>Video of the paper submitted at RO-MAN 2022 </p> <p>Human-robot co-manipulation of soft materials: enable a robot manual guidance using a depth map feedback<br> Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi</p> <p>Code for trainings and test available at:</p> <p>https://github.com/giorgionicola/SMAHRCO</p>
Co-manipulation of soft-materials estimating deformation from depth images
<p>Video describing our work on Co-manipulation of soft-materials estimating deformation from depth images</p>
Co-manipulation of soft-materials estimating deformation from depth images [Dataset]
<p>The dataset and training results used in the paper "Co-manipulation of soft-materials estimating deformation from depth images" G. Nicola, E. Villagrossi, N.Pedrocchi submitted at Robotics and Computer Integrated Manufacturing.</p>
AnDy Data - Human Human Object Co-Manipulation
<p>This dataset contains measurements for two manipulation experiments. The first is a human dyad executing a shared co-manipulation task. And the second is a human single-handedly executing the same task in the same experimental setup.</p> <p>Both experiments are described in detail in the provided .PDF file. The participants, and the conditions in which they executed the experiments are described in the accompanying .XLS files.</p> <p>With the exception of proprietary data, all files are in .CSV format. The collected data is comprised of: Kinematic data of the subjects' arm; raw electromyography (EMG) signals from the subjects' arm; as well as the maximum value of contraction for each measured muscle in their arm. Additionally, there is data regarding the efficiency in which the dyad executes the task (number of wall touches).</p> <p>The Kinematic, and the EMG data, were collected with proprietary software, so the original files in the proprietary format are also made available.</p>
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.