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842
datasets available to search
ShareScore release 0.9.0
Dataset results
842 results for “Smartphone”
Effect of Smartphone Usage
ClinicalTrials.gov study NCT06941454. IPD Sharing: UNDECIDED. Countries: 0. Publications: 4.
Data from: Smartphone motor testing to distinguish idiopathic REM sleep behavior disorder, controls, and PD
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Data from: Evidence to support common application switching behaviour on smartphones
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Data from: Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis
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Data from: Transitions in smartphone addiction proneness among children: the effect of gender and use patterns
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Portable smartphone integrated paper sensors for fluorescence detection of As(III) in groundwater
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Neuromuscular block monitoring by smartphone application (i-TOF© system): an observational pilot study
<p>Dataset of the observational pilot study on Neuromuscular block monitoring by smartphone application (i-TOF© system) compared to TOF-WATCH device.</p> <p>The present study was approved by Ethical Committee (Prot. 18.18 TS ComEt) of the University Hospital Campus Biomedico of Rome.</p>
Data from: The effect of mood state on visual search times for detecting a target in noise: an application of smartphone technology
The study of visual perception has largely been completed without regard to the influence that an individual's emotional status may have on their performance in visual tasks. However, there is a growing body of evidence to suggest that mood may affect not only creative abilities and interpersonal skills but also the capacity to perform low-level cognitive tasks. Here, we sought to determine whether rudimentary visual search processes are similarly affected by emotion. Specifically, we examined whether an individual's perceived happiness level affects their ability to detect a target in noise. To do so, we employed pop-out and serial visual search paradigms, implemented using a novel smartphone application that allowed search times and self-rated levels of happiness to be recorded throughout each twenty-four-hour period for two weeks. This experience sampling protocol circumvented the need to alter mood artificially with laboratory-based induction methods. Using our smartphone application, we were able to replicate the classic visual search findings, whereby pop-out search times remained largely unaffected by the number of distractors whereas serial search times increased with increasing number of distractors. While pop-out search times were unaffected by happiness level, serial search times with the maximum numbers of distractors (n = 30) were significantly faster for high happiness levels than low happiness levels (p = 0.02). Our results demonstrate the utility of smartphone applications in assessing ecologically valid measures of human visual performance. We discuss the significance of our findings for the assessment of basic visual functions using search time measures, and for our ability to search effectively for targets in real world settings.
EgoADL: Multimodal Daily-life Logging in Free-living Environments Using Non-Visual Egocentric Sensors on a Smartphone
<p>EgoADL dataset employs a commodity smartphone as an egocentric sensor hub, which captures the audio, wireless sensing signals (i.e., Wi-Fi), and motion sensor signals continuously. Users can perform arbitrary daily routines with the sensor hub, i.e., an in-pocket smartphone, in free-living environments. EgoADL will recognize ADLs including both human activity and human-object interaction from the sensor data without human intervention.</p>
The Reliability And Validity Of A Smartphone App
ClinicalTrials.gov study NCT05819242. IPD Sharing: YES. Countries: 1. Publications: 0.
Smartphone Pedometers and Body Mass of Overweight and Obese Clients.
ClinicalTrials.gov study NCT03423966. IPD Sharing: NO. Countries: 1. Publications: 0.
Home-based Assessment of PRO Measures in SCD Using A Smartphone App Platform: A Feasibility Study
ClinicalTrials.gov study NCT04678037. IPD Sharing: NO. Countries: 1. Publications: 0.
Smartphone Based Digital Screening for Aortic Valve Stenosis
ClinicalTrials.gov study NCT07284550. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Correlation of Dry Eye Disease, Problematic Smartphone Use and Sleep Quality in Adolescents and Young Adults
ClinicalTrials.gov study NCT07020871. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Bilirubin Estimates in Newborns From Smartphone Digital Images in a Population in Botswana
ClinicalTrials.gov study NCT06399146. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Patients Judging Bowel Preparation by Using SMARTPHONE Application
ClinicalTrials.gov study NCT01937819. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Efficacy of Therapeutic Exercises Delivered by Smartphone Application
ClinicalTrials.gov study NCT05347472. IPD Sharing: NO. Countries: 1. Publications: 0.
Efficacy of a Smartphone Suicide Prevention App
ClinicalTrials.gov study NCT07160465. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Assessment of the Validity, Reliability, and Feasibility of Two Smartphone Applications for Testing the Visual Acuity
ClinicalTrials.gov study NCT04936100. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Interest of Photographs by Smartphone in Dermatology
ClinicalTrials.gov study NCT03493724. IPD Sharing: NO. 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.