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.
24
datasets available to search
ShareScore release 0.7.1
Dataset results
24 results for “Smart Mobility”
Paper Survey Table - Smart Mobility - role of mobile games
<p>This table (CSV File) compiles the papers reviewed for the survey paper "Smart Mobility, the role of Mobile Games" presented at the 8th Serious Games Development & Applications (SGDA 2017) conference.<br> It compiles 140 documents read and described to understand the role of mobile games in the promotion of smart mobility, especially based on urban cycling. </p> <p>The images provide relevant insights of the survey and support the analysis of the survey paper they are briefly described as follows: </p> <p>Chart 1: Number of papers classified by publisher and type of publication reported.<br> Chart 2: Number of participants classified by type of publication reported.<br> Chart 3: Number of papers classified by the method reported and the number of citations.<br> Chart 4: Number of papers reporting cycling classified by type of motivation used for gamification strategies<br> Chart 5: Number of papers reporting cycling classified by device and location technology reported</p> <p>The following is a short explanation of each of the columns of the table and its contents, self-explanatory titles are omitted.</p> <ul> <li>Database: source or publisher of the paper</li> <li>Type: description of the kind of publication between conference paper, book chapter, or journal paper. </li> <li>Oldest Reference: year of publication of the oldest reference cited in the paper.</li> <li>Newest Reference: year of publication of the newest reference cited in the paper.</li> <li>Citation: Classification of the number of citations that the paper has. Values: none, 1-5, 5-10, +10.</li> <li>Participants: Classification of the number of participants that the paper reports. Values: none, 1-5, 5-10, +10. </li> <li>Method Description: Short description of the method reported by the paper.</li> <li>Reported Method: Classification of the reported method of the paper in three main categories. Design, Experiment / Test, Literature review, Survey.</li> <li>Gamification - Motivation: Classification of the sources of motivation reported. Values: Intrinsic Motivation, Extrinsic Motivation, Mixed.</li> <li>Gamification - Negative Issues: Filled when the paper is reporting the analysis of negative consequences of using gamification:</li> <li>Gamification: Classification of the kind of technique reported. Values: Gamified, not Gamified</li> <li>Device and Location Usage: Classification of the use of mobile devices, wearables and location technologies. Values: No device, Device enabled, Mobile and location enabled, Device and location enabled.</li> <li>App Name: The name of the application reported by the paper when it exists.</li> </ul>
User Experience Evaluation of BRI Smart Billing Mobile Application Using System Usability Scale and Heuristic Evaluation
<p>This research aims to evaluate user perceptions of the design and functionality of the BRI Smart Billing Mobile app. Through a questionnaire distributed to active BRI Smart Billing users, this study will identify factors that influence user satisfaction with the visual appearance, layout of elements, and ease of use of features available on the dashboard. The results of this research are expected to provide input to the application developers regarding efforts to improve the quality of digital application services and provide recommendations for improving the design of the BRI Smart Billing Mobile dashboard to be more user-friendly and meet user needs.</p>
SMART Radar and WSR-88D Data Associated with "Mobile Radar Observations of Hurricanes at Landfall. Part II: Convectively Coupled Vortex Rossby Waves"
<p>The data contained in this archive are associated with "Mobile Radar Observations of Hurricanes at Landfall. Part II: Convectively Coupled Vortex Rossby Waves" in review in the <em>Journal of the Atmospheric Sciences</em>. Two sets of data associated with Hurricanes Isabel (2003) and Matthew (2016) are contained. Each subset of data contains the raw radar files that contribute to the manuscript in cfradial netCDF format.</p> <p>A readme file in included that describes the variables and format of the radar volume files. Questions about the dataset may be directed to addisonalford@ou.edu, drdoppler@ou.edu, or gordon.carrie-1@ou.edu.</p>
SMART-R2 Ground based C-band mobile radar observations of Hurricane Harvey landfall 2017
<p>This dataset contains radar scans collected by Shared Mobile Atmospheric Research and Teaching Radar #2 (SMART-R2) near Woodsboro, Texas during Hurricane Harvey landfall, 25-26 August 2017.</p> <p>Extract the data on a Unix system with the command "tar zxf hurricane_harvey.smart-r2.tar.gz"</p> <p>Directory harvey/SR2/iris_data/product_raw contains the data. The files are in Sigmet raw product format, documented at:<br> ftp://ftp.sigmet.com/outgoing/manuals/IRIS_Programmers_Manual.pdf</p> <p>Directory hurricane_harvey.smart-r2/SR2/log/ contains the radar operator's log.</p> <p>The deployment was funded by RAPID grant AGS-1759479 from the National Science Foundation, funds from the School of Meteorology at the University of Oklahoma, and a NASA Earth and Space Science Fellowship Program grant 17-EARTH17R-72.</p> <p>For more information, please contact:<br> M. I. Biggerstaff drdoppler@ou.edu<br> G. D. Carrie gordon.carrie-1@ou.edu</p> <p> </p>
SMART 2.0: Social Mobile Approaches to Reducing weighT in Young Adults
ClinicalTrials.gov study NCT03907462. IPD Sharing: NO. Countries: 1. Publications: 4.
Szpilko, Budna Sustainable and smart mobility – research directions_UMO-202245BHS401414
<p><span>The data includes a list of publications from the Web of Science and SCOPUS databases considered in the bibliometric analysis. The database contains a total of 8,821 records - bibliographic descriptions of publications. The basic metadata of the publications used in the bibliometric analysis include: the title of the publication, abstract, and keywords</span></p>
Dataset The Importance of Interface Design and Security Awareness in Improving Service Quality and Its Impact on Digital Customer Loyalty of Smart Mobile Banking
Open the record for dataset details and reuse information.
A Mobile SMART Exercise Support Program to Improve Fatigue in Lung Cancer Patients - A RCT
ClinicalTrials.gov study NCT05331391. IPD Sharing: NO. Countries: 1. Publications: 12.
The Smart City Active Mobile Phone Intervention (SCAMPI)
ClinicalTrials.gov study NCT03086837. IPD Sharing: NO. Countries: 1. Publications: 3.
Personalized Mobility Interventions Using Smart Sensor Resources for Lower-Limb Prosthesis Users
ClinicalTrials.gov study NCT03930199. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Clinical Study to Evaluate the Effect of Mobile Applications "My A:Care" and "Smart Coach" on the Lipid-lowering Treatment Adherence of Subjects With Dyslipidemia in Thailand
ClinicalTrials.gov study NCT05370703. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Smart Home-based Technology to Promote Functional Mobility Among Individuals With Parkinson's Disease
ClinicalTrials.gov study NCT05211687. IPD Sharing: NO. Countries: 1. Publications: 2.
SMART: A Social and Mobile Weight Control Program for Young Adults
ClinicalTrials.gov study NCT01200459. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Mobility Assessment & Follow-up in Frail Elderly: Clinic-technical Validation of a Smart Insole in Real Life
ClinicalTrials.gov study NCT02316600. IPD Sharing: Not stated. Countries: 1. Publications: 31.
Smart Insoles for Improving Sensation, Balance and Mobility in People with Diabetic Peripheral Neuropathy.
ClinicalTrials.gov study NCT06855420. IPD Sharing: NO. Countries: 1. Publications: 1.
Smart Blister Packaging and Mobile Application to Monitor and Support Medication Adherence: a Two-arm Usability Study
ClinicalTrials.gov study NCT07099612. IPD Sharing: NO. Countries: 1. Publications: 0.
Use of "Smart Wheelchairs" to Provide Independent Mobility to Visual and Mobility Impairments
ClinicalTrials.gov study NCT00333762. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Quantitative Assessment of Early Mobility in Total Knee Replacement Patients Using Smart Activity Tracker
ClinicalTrials.gov study NCT05076539. IPD Sharing: NO. Countries: 1. Publications: 0.
Simple, Mobile-based Artificial Intelligence AlgoRithms in the Detection of Diabetic ReTinopathy (SMART) Study
ClinicalTrials.gov study NCT03572699. IPD Sharing: NO. Countries: 1. Publications: 0.
SMART Mobile Application Technology Utilization in the Treatment of Sickle Cell Disease Post Day Hospital Discharge
ClinicalTrials.gov study NCT02475993. 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.