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.
17
datasets available to search
ShareScore release 0.9.0
Dataset results
17 results for “sensory feedback”
Modular organization of the murine locomotor pattern in the presence and absence of sensory feedback from muscle spindles
<p>In this study, we made use of non-negative matrix factorization (NMF) to extract muscle synergies from electromyographic (EMG) data. We implemented the NMF algorithm in R version 3.5.1 (R Foundation for Statistical Computing, R Core Team, Vienna, Austria), a programming language available in a free software environment. However, even if the software does not require a paid license, often researchers are either not confident with or prefer not to spend time writing the code required to perform NMF. We make available, as we recently did with human data (Santuz <em>et al.</em>, 2018), an example open access data set of EMG and muscle synergy data for murine walking and swimming. The data presented in this supplementary information part is available in three formats: 1) the raw EMG of two example trials (one recorded during walking and the other during swimming in a wild type animal, six muscles), unprocessed together with the touchdown and lift-off timings of the recorded limb for walking and the cycle timings for swimming; 2) the filtered and time-normalized EMG and 3) the muscle synergies extracted via NMF. Moreover, we provide the R code for obtaining the results described in the previous three points. We do not report any metadata, since trials are relative to a single representative animal. The R code is profusely commented.</p>
The integration of sensory feedback in the modulation of anuran landing preparation
<p class="MsoBodyText">Controlled landing requires preparation. Mammals and bipedal birds vary how they prepare for landing by predicting the timing and magnitude of impact from the integration of visual and non-visual information. Here we explore how an animal that moves primarily through hopping, <i>Rhinella marina</i>, the cane toad, integrates sensory information to modulate landing preparation. Earlier work suggests toads may modulate landing preparation using predictions of impact timing and/or magnitude based on non-visual sensory feedback during takeoff rather than visual cues about the landing itself. Here we disentangled takeoff and landing conditions by hopping toads off platforms of different heights and measured electromyographic (EMG) activity of an elbow extensor, <i>m. anconeus</i>, and used high-speed motion capture to quantify whole body and forelimb kinematics to test how toads integrate visual and non-visual information in landing preparation. We asked two questions: 1) when they conflict, do toads correlate landing preparation with takeoff or landing conditions? And 2) for hops with the same takeoff conditions, does visual information alter the timing of landing preparation? We found that takeoff conditions are a better predictor of the onset of landing preparation than landing conditions, but that visual information is not ignored. When hopping off higher platforms, toads start to prepare for landing later when takeoff conditions are invariant. This suggests that, unlike mammals, toads prioritize non-visual sensory feedback about takeoff conditions to coordinate landing, but that they do integrate visual information to fine-tune landing preparation.</p>
The integration of sensory feedback in the modulation of anuran landing preparation
Open the record for dataset details and reuse information.
Contribution of Urethral Sensory Feedback in Voiding Efficiency
ClinicalTrials.gov study NCT03637582. IPD Sharing: NO. Countries: 1. Publications: 5.
Enhancing Abilities in Amputees and Patients With Peripheral Neuropathy Through Restoration of Sensory Feedback
ClinicalTrials.gov study NCT04217005. IPD Sharing: NO. Countries: 1. Publications: 23.
Evaluation of a Non-invasive Sensory Feedback System in Hand Prostheses
ClinicalTrials.gov study NCT03876405. IPD Sharing: NO. Countries: 0. Publications: 1.
Sensory feedback and coordinating asymmetrical landing in toads
Open the record for dataset details and reuse information.
Evaluation of Neuroprosthesis with Sensory Feedback for Modulation of Phantom Limb Pain and Enhancing Quality of Life
ClinicalTrials.gov study NCT06702904. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Strategies to Control Robotic Hand Prosthesis Via HD-sEMG and to Restore Sensory Feedback Via TENS
ClinicalTrials.gov study NCT06486571. IPD Sharing: NO. Countries: 1. Publications: 0.
A Home Program Using Multimodal Sensory Feedback for People With Parkinson Disease
ClinicalTrials.gov study NCT04223245. IPD Sharing: NO. Countries: 1. Publications: 0.
Studies Into Touch in Healthy Humans to Provide Sensory Feedback in Prostheses
ClinicalTrials.gov study NCT05548322. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Optimizing Gait Symmetry After Stroke Using Mechanical Constraints and Sensory Feedback
ClinicalTrials.gov study NCT07087769. IPD Sharing: NO. Countries: 1. Publications: 0.
Sensory Feedback for Touch and Proprioception With Prosthetic Limbs
ClinicalTrials.gov study NCT02189031. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Multimodal Haptic Feedback for Plantar Sensory Substitution
ClinicalTrials.gov study NCT06232512. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Phantom Limb Pain: Efficacy of Non-invasive Sensory Feedback Through the Prosthesis
ClinicalTrials.gov study NCT02589080. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Efficacy Study of a Sensory Feedback Knee Orthosis in Patients Suffering From Unoperated Severe Knee Sprain
ClinicalTrials.gov study NCT01508728. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development of Optimal Sensory Feedback Strategies to Maximize Function After Tetraplegia
ClinicalTrials.gov study NCT07225582. IPD Sharing: YES. 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.