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157 results for “active mobility”
Dataset of "Tracking Urban Human Activity from Mobile Phone Calling Patterns" PLOS Computational Biology paper
<p>This are the dataset file for "Tracking Urban Human Activity from Mobile Phone Calling Patterns", to be published in PLOS Computational Biology.</p> <p>The files contain probability distributions of finding a first, last, or any call as a function of time, derived from anonymized call detail records for a 12 months period in the year 2007 from a mobile phone service provider in a European country. The first data file contains the data obtained fom 30 different cities. the second for the six most populated cities, splitting the data into different age and gender groups.</p> <p>Details in README files.</p>
Mobile Sensor Readings of Activities
<p>This collection contains mobile sensor readings used to train an activity recognition classifier. The sensor data was accessed via the Generic Sensor API. Mobile sensor readings from the following sensors:</p> <ul> <li>accelerometer</li> <li>gyroscope</li> <li>magnetometer</li> <li>gravity sensor</li> <li>relative orientation sensor</li> <li>absolute orientation sensor</li> <li>linear acceleration sensor</li> </ul> <p>Recording were measured while the following activities were measured:</p> <ul> <li>Lying</li> <li>Sitting</li> <li>Standing</li> <li>Walking</li> <li>Stairs up</li> <li>Stairs down</li> <li>Running</li> <li>Taking the car</li> <li>Taking the bus</li> <li>Taking the tram</li> <li>Taking the train</li> <li>Taking the metro</li> </ul> <h3>Structure of the dataset</h3> <p>The collected data in each recording includes the start time timestamp readingID, the activity label activity, the duration<br>of the recording in elapsedTime, and an object sensorData, which contains the lengthy sensor measurements. The measurements for each sensor is stored in the form of an array containing on each index a series of four values. The time of when the measurement was taken t, and the value in the three axes x,y and z.</p> <p>A minimalistic example of the format of the collected data:</p> <p>{<br>"readingID": 1710151914418,<br>"activity": ""walk"",<br>"elapsedTime": 17312<br>"sensorData": {<br>"acce": [<br>...<br>{<br>"t": 1624,<br>"x": 0.05,<br>"y": -0.61,<br>"z": 0.21,<br>},<br>... ]<br>"gyro": Array (844)<br>"magnet": Array (136)<br>}<br>}</p> <p> </p> <p>A big thanks to all the volunteers who helped collect this dataset.</p> <p> </p>
Comparison of Active vs Passive Neural Mobilizations Effects in Improving Burning Pain, Muscular Strength, and Range of Motion in Patients With Diabetic Neuropathy
ClinicalTrials.gov study NCT07141992. IPD Sharing: NO. Countries: 1. Publications: 1.
Combined Effect of Transcranial Direct Current Stimulation (tDCS) and Physical Activity on Gait and Functional Mobility in Participants With Multiple Sclerosis
ClinicalTrials.gov study NCT03658668. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efficacy of Combining Movement Representation Techniques to Active Neural Mobilization in the Mechanosensitivity of the Median Nerve in Asymptomatic Volunteers.
ClinicalTrials.gov study NCT07154017. IPD Sharing: YES. Countries: 1. Publications: 1.
Applying Mobile Persuasive Technologies to Increase Physical Activity in Women
ClinicalTrials.gov study NCT01280812. IPD Sharing: NO. Countries: 1. Publications: 9.
The MOTHER (Mobile Technologies to Help Enhancing Regular Physical Activity) Trial for Pregnant Women
ClinicalTrials.gov study NCT01461707. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of a Mobile Application RA Joint Protection and Activity Self-management Program
ClinicalTrials.gov study NCT05570175. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Rectified rotational dynamics of mobile inclusions in two-dimensional active nematics
Open the record for dataset details and reuse information.
Data from: Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
Human mobility is becoming an accessible field of study thanks to the progress and availability of tracking technologies as a common feature of smart phones. We describe an example of a scalable experiment exploiting these circumstances at a public, outdoor fair in Barcelona (Spain). Participants were tracked while wandering through an open space with activity stands attracting their attention. We develop a general modeling framework based on Langevin Dynamics, which allows us to test the influence of two distinct types of ingredients on mobility: reactive or context-dependent factors, modelled by means of a force field generated by attraction points in a given spatial configuration, and active or inherent factors, modelled from intrinsic movement patterns of the subjects. The additive and constructive framework model accounts for some observed features. Starting with the simplest model (purely random walkers) as a reference, we progressively introduce different ingredients such as persistence, memory, and perceptual landscape, aiming to untangle active and reactive contributions and quantify their respective relevance. The proposed approach may help in anticipating the spatial distribution of citizens in alternative scenarios and in improving the design of public events based on a facts-based approach.
CoolWalks: Assessing the potential of shaded routing for active mobility in urban street networks - Dataset
<p>This contains the raw and processed data for the paper "CoolWalks: Assessing the potential of shaded routing for active mobility in urban street networks" by H. Wolf, M. Szell and A. R. Vierø.</p>
Supplementary material for Impact of past steel-making activities on lanthanides and Y (REY) fractionation and potential mobility in riverbank sediments
<p>Database related to the results that are presented in the manuscript Hissler et al. that will be submitted as research paper in the journal Frontiers in Earth Science on the research topic: "Further Rare Earth Elements Environmental Dissemination: Observation, Analysis and Impacts".</p> <p>Title of the submission: Impact of past steel-making activities on lanthanides and Y (REY) fractionation and potential mobility in riverbank sediments.</p> <p>Authorship: </p> <p>Christophe Hissler<sup>1*</sup>, Emmanuelle Montarges-Pelletier<sup>2,3</sup>, Hussein J. Kanbar <sup>2,3</sup>, Mathieu Le Meur<sup>2,3,4</sup>, Christophe Gauthier<sup>2,3</sup></p> <p><sup>1</sup>CAT/ENVISION/ERIN Research Group, Luxembourg Institute of Science and Technology, L-4422 Belvaux, Luxembourg</p> <p><sup>2</sup>Université de Lorraine, CNRS, LIEC, F-54000 Nancy, France</p> <p><sup>3</sup>LTSER FRANCE Zone atelier Moselle</p> <p><sup>4</sup>SUBATECH UMR 6457/IMT Atlantique, CNRS, F-44307 Nantes, France</p> <p> </p> <p><sup>*</sup>Corresponding author: <a href="mailto:christophe.hissler@list.lu">christophe.hissler@list.lu</a></p>
Mobile Application for Guided Imagery to Address Smoking, Diet and Physical Activity
ClinicalTrials.gov study NCT02972515. IPD Sharing: NO. Countries: 0. Publications: 2.
Efficacy of Nutritional Supplementation on Physical-activity Mediated Changes in Physical Functioning Older Adults at Risk for Mobility Disability (The VIVE2 Study)
ClinicalTrials.gov study NCT01542892. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Passive Mobilization With Place and Hold vs Active Mobilization Therapy After Flexor Tendon Repair
ClinicalTrials.gov study NCT04385485. IPD Sharing: NO. Countries: 1. Publications: 0.
The Smart City Active Mobile Phone Intervention (SCAMPI)
ClinicalTrials.gov study NCT03086837. IPD Sharing: NO. Countries: 1. Publications: 3.
Cardiac Arrest in Residential Areas With Mobile First-responder Activation
ClinicalTrials.gov study NCT04446585. IPD Sharing: NO. Countries: 1. Publications: 1.
The Scandinavian AED and Mobile Bystander Activation Trial
ClinicalTrials.gov study NCT02992873. IPD Sharing: NO. Countries: 1. Publications: 1.
Improving Physical Activity and Mobility Via Live Online Exercise Sessions for Older Adults
ClinicalTrials.gov study NCT04627493. IPD Sharing: NO. Countries: 1. Publications: 1.
A Mobile Phone App to Promote Healthy Diet and Physical Activity in 2.5-year-olds
ClinicalTrials.gov study NCT04147039. IPD Sharing: NO. Countries: 1. Publications: 2.
ScienceDex guides
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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.