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157
datasets available to search
ShareScore release 0.9.0
Dataset results
157 results for “active mobility”
Basic Mobility and Physical Activity During Hospitalization for a Hip Fracture: Functions Needed and Strategies Used
ClinicalTrials.gov study NCT05756517. IPD Sharing: NO. Countries: 1. Publications: 2.
A Mobile App to Increase Physical Activity in Students
ClinicalTrials.gov study NCT04440553. IPD Sharing: YES. Countries: 1. Publications: 1.
Immediate Effect of Ankle Mobilization on Active Range of Motion and Gait in Subacute Stroke
ClinicalTrials.gov study NCT06109194. IPD Sharing: NO. Countries: 1. Publications: 12.
The Effect of a Machine Learning-Based Mobile Application on Physical Activity in Overweight and Obese Women
ClinicalTrials.gov study NCT06225518. IPD Sharing: YES. Countries: 1. Publications: 6.
Parent-targeted Mobile Phone Based Intervention to Increase Physical Activity in Children (P-Mobile)
ClinicalTrials.gov study NCT01551108. IPD Sharing: Not stated. Countries: 1. Publications: 1.
TEAM: Trial of Early Activity and Mobilization
ClinicalTrials.gov study NCT01674608. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Effects of Cognitive Intervention on Cognition, Mobility and Brain Electrocortical Activity
ClinicalTrials.gov study NCT03860441. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Effects of the SmartDrive on Mobility, Activity and Shoulder Pain Among People With SCI Using Manual Wheelchairs
ClinicalTrials.gov study NCT04241003. IPD Sharing: NO. Countries: 1. Publications: 0.
Promoting Sustainable and Active Mobility Among Employees and Students
ClinicalTrials.gov study NCT06493006. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Data from: Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
Open the record for dataset details and reuse information.
Data from: Prediction limits of mobile phone activity modelling
Thanks to their widespread usage, mobile devices have become one of the main sensors of human behaviour and digital traces left behind can be used as a proxy to study urban environments. Exploring the nature of the spatio-temporal patterns of mobile phone activity could thus be a crucial step towards understanding the full spectrum of human activities. Using 10 months of mobile phone records from Greater London resolved in both space and time, we investigate the regularity of human telecommunication activity on urban scales. We evaluate several options for decomposing activity timelines into typical and residual patterns, accounting for the strong periodic and seasonal components. We carry out our analysis on various spatial scales, showing that regularity increases as we look at aggregated activity in larger spatial units with more activity in them. We examine the statistical properties of the residuals and show that it can be explained by noise and specific outliers. Also, we look at sources of deviations from the general trends, which we find to be explainable based on knowledge of the city structure and places of attractions. We show examples how some of the outliers can be related to external factors such as specific social events.
GWAS reveals determinants of mobilization rate and dynamics of an active endogenous retrovirus of cattle
<p>The VCF file contains imputed genotypes of ~10 million SNP, INDEL and polymorphic ERVK for 430 Belgian blue bulls used for a genome wide association study on ERVK mobilisation rate. </p>
Impact of A Mobile Game on Pediatric Nutrition and Physical Activity
ClinicalTrials.gov study NCT04082195. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Mobile Intervention - Physical Activity in Cancer Treatment
ClinicalTrials.gov study NCT03671304. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Personalized Mobile Health Platform to Promote Physical Activity in Adolescents and Young Adults With Cystic Fibrosis
ClinicalTrials.gov study NCT06616857. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Impact of Pushrim Activated Power Assist Wheelchairs on Mobility Among People With Tetraplegia
ClinicalTrials.gov study NCT00281463. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Mobile App Use for Physical Activity in Knee Osteoarthritis
ClinicalTrials.gov study NCT06721208. IPD Sharing: NO. Countries: 0. Publications: 6.
Mobile Motivational Physical Activity Targeted Intervention
ClinicalTrials.gov study NCT03160287. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Kinesiotaping on Muscular Activity, Mobility, Strength and Pain After Rotator Cuff Surgery
ClinicalTrials.gov study NCT03379636. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Mobile-based Online Social Network Intervention to Increase Physical Activity
ClinicalTrials.gov study NCT02736903. IPD Sharing: NO. Countries: 0. Publications: 3.
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.