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.
1,532
datasets available to search
ShareScore release 0.9.0
Dataset results
1,532 results for “App”
Video of sezect Android app
<p>Video of sezect Android app</p>
AndroZooOpen: Collecting Large-scale Open Source Android Apps for the Research Community
<p>The raw collected data for the paper</p>
Neo4j Database Dump of Corona-Warn-App Repository Provenance Graphs
<p>Provenance database (Neo4j 4.1) dumps of the following <a href="https://github.com/corona-warn-app/">Corona-Warn-App</a> repositories:</p> <ol> <li>cwa-app-android</li> <li>cwa-app-ios</li> <li>cwa-server</li> <li>cwa-documentation</li> </ol> <p>Username: covid</p> <p>Password: covid19</p>
Graph Visualizations of Corona-Warn-App-Repositories (Gephi)
<p>Graph Drawings of the contributions by team members and external contributor to the German <a href="https://github.com/corona-warn-app/">Corona-Warn-App</a>.</p> <p>File in <a href="https://gephi.org/">Gephi</a> format.</p>
Expergefactor - Sonic Interaction Design for an alarm clock app (Demo Video)
<p>Demo video accompanying the publication with DOI 10.1145/3411109.3411149.</p>
The finalized conceptual design of the app
<p>Forty-seven items are part of the wireframes of the finalized conceptual design of the app. They were the results of Co-evaluation Activity 1. They can be viewed together with the finalized mobile-information architecture for the app.</p>
A sermon by any other name? The pseudo-Augustinian S. App. 121 and its medieval textual network
<p>The Latin sermons preached by the Fathers of the Early Church – Augustine, Gregory, Leo – and their contemporaries had a dynamic and complex medieval afterlife. Throughout the Middle Ages, they circulated in manuscript form, usually as part of collections of patristic preaching. Both the collections and the sermons themselves were heavily manipulated as part of their medieval reception. Additionally, they circulated alongside (and became intertwined with) an enormous corpus of pseudo-epigraphic sermons that were attributed to one of the authoritative Fathers but of which the origin, whether Late-Antique or Medieval, is uncertain.<br> The ERC-funded PASSIM project (2019-2023) aims at charting and analysing the complex interrelations between the manuscripts transmitting patristic sermon collections, and between the texts they contain, through the development of a database and web application. In due course, these digital tools will grant access to the corpus’ complex research tradition, manuscript transmission and textual relations. In doing so, the PASSIM project strives to open up new research avenues for the study of the reception of Latin patristic sermons in medieval manuscripts. In addition to traditional list views, we aim to include in the PASSIM web application various types of network visualisations, presenting at a glance the manuscript transmission of a sermon, the building blocks of a collection, the spread of author attributions, the popularity of a sermon over time etc.<br> In this paper, we want to focus on network visualisations of textual overlap between sermons. Specifically, we will explore the challenges inherent in creating a serviceable network of a sermon’s textual relations that is not dependent upon a full textual analysis of the relevant texts. We want to point the user in the right direction without saying the final word on the subject. As a testcase, we will use the pseudo-Augustinian sermon S. App. 121, an anonymous text derived from various models, which also served as a model for later sermons. Moving from the conceptual to the concrete, our paper will explore the possibilities and challenges of visualisations for networks of texts, contributing as such to the accessibility of the complex corpus of patristic preaching and to the development of the PASSIM database.</p>
Data from: Comparison of the validity of the checklist assessment in the cardiac arrest simulations with the app in an academic hospital in Taiwan: a retrospective observational study
Background: Robust assessment is a crucial component in Advanced Cardiac Life Support (ACLS) training to determine whether participants have achieved learning objectives with little or no variation in their overall outcomes. This study aimed to evaluate resuscitation performance by real-time logs. We hypothesized that instructors may not be able to evaluate time-sensitive parameters, namely, chest compression fraction, time to initiating chest compression, and time to initiating defibrillation efficiently in a subjective manner. Methods: Video records and formal checklist-based test results of Megacode scenarios for the ACLS certification examination at several hospitals in Taipei were examined. For the study interest, three time-sensitive parameters were measured via video review assisted by a mobile phone application, and were used for evaluation. We evaluated if the pass/fail results made by instructors via checklists were correlated with these parameters. Results: A total of 185 Megacode scenarios were eligible for the final analysis. Among the three parameters, good chest compression fraction was statistically significant with higher odds ratio (OR) of passing (OR = 3.65; 95% confidence interval [CI]: 1.36-9.91; P = 0.01). In 112 participants with one parameter that did not meet the criteria, 25 were graded as fail, making the specificity 22.3% (95% CI: 15.0-31.2%). Conclusions: Visual observation of cardiopulmonary resuscitation performance is not accurate when evaluating time-sensitive parameters. Objective results should be offered for training outcome evaluation, and also for feedback to participants.
Data from: Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis
Objective: The number of mobile applications addressing health topics is increasing. Whether these apps underwent scientific evaluation is unclear. We comprehensively assessed papers investigating the diagnostic value of available diagnostic health applications using in-built smartphone-sensors. Methods: Systematic Review - Medline, Scopus, Web of Science inclusive Medical Informatics and Business Source Premier (by citation of reference) were searched from inception until December 15th, 2016. Checking of reference lists of review articles and of included articles complemented electronic searches. We included all studies investigating a health application that used in-built sensors of a smartphone for diagnosis of disease. The methodological quality of 11 studies used in an exploratory meta-analysis was assessed with the QUADAS-2 tool and the reporting quality with the STARD statement. Sensitivity and specificity of studies reporting two-by-two tables were calculated and summarized. Results We screened 3'296 references for eligibility. Eleven studies, most of them assessing melanoma screening apps, reported 17 two-by-two tables. Quality assessment revealed high risk of bias in all studies. Included papers studied 1'048 subjects (758 with the target conditions and 290 healthy volunteers). Overall, the summary estimate for sensitivity was 0.82 (95 % confidence interval (CI); 0.56 to 0.94) and 0.89 (95 %CI; 0.70 to 0.97) for specificity. Conclusions The diagnostic evidence of available health apps on Apple's and Google's app stores is scarce. Consumers and healthcare professionals should be aware of this when using or recommending them.
Input datasets for the Stellar Discovery (S-Disco) EXPLORE app
Gaia RVS spectra, stellar model grids, Gaia ID catalog
MSDIAL5 console app demo data
<p>This demo dataset id for MSDIAL5 console app tutorial.</p>
Specific mutations in the cholesterol-binding site of APP alter its processing and favor the production of shorter, less toxic Aβ peptides.
<p>Mass Spectrometry data of Abeta secreted peptides from HEK293 stable clones expressing APP or APPK28A treated or not with methylbetacyclodextrin-cholesterol.</p>
Supplementary material 4 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S4. Mean dimension scores by app
Supplementary material 2 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S2. Reviewer correlation
Supplementary material 3 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S3. App Metadata
Supplementary material 1 from: Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71: 165-188. https://doi.org/10.3897/neobiota.71.79597
Table S1. Search parameters
Detecting Code Smells in React-based Web Apps
<p>Detecting Code Smells in React-based Web Apps - Dataset</p>
Detecting Code Smells in React-based Web Apps
<p>Detecting Code Smells in React-based Web Apps - Dataset</p>
Figure 1 from: Sturm U, Schade S, Ceccaroni L, Gold M, Kyba C, Claramunt B, Haklay M, Kasperowski D, Albert A, Piera J, Brier J, Kullenberg C, Luna S (2017) Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes 3: e21283. https://doi.org/10.3897/rio.3.e21283
Figure 1 Definitions agreed by all participants in order to establish a common understanding for app, platform and portal and considering that the boundaries are not always clear and in some cases tools might act as a portal and a platform at the same time.
Figure 1 from: Sturm U, Schade S, Ceccaroni L, Gold M, Kyba C, Claramunt B, Haklay M, Kasperowski D, Albert A, Piera J, Brier J, Kullenberg C, Luna S (2018) Defining principles for mobile apps and platforms development in citizen science. Research Ideas and Outcomes 4: e23394. https://doi.org/10.3897/rio.4.e23394
Figure 1 Definitions in order to establish a common understanding for app, webpage, platform and portal and considering that the boundaries are not always clear and in some cases tools might act as a portal and a platform at the same time.
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.