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1,532 results for “App”

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ClinicalTrials.gov36/100

Trial of Adherence App for Buprenorphine Treatment (TAAB) Study

ClinicalTrials.gov study NCT03779997. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Preventing Perinatal Depression with an App-Based CBT Program

ClinicalTrials.gov study NCT06672432. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Can a Smartphone App That Includes a Chatbot-based Coaching and Incentives Increase Physical Activity in Healthy Adults?

ClinicalTrials.gov study NCT03384550. IPD Sharing: YES. Countries: 1. Publications: 2.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Testing the Integrated mHealth App Intervention "SiS-H"

ClinicalTrials.gov study NCT05886621. IPD Sharing: Not stated. Countries: 1. Publications: 9.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Initial Testing of a Mobile App Pain Coping Intervention for Outpatient Oncology Settings (PainPac)

ClinicalTrials.gov study NCT05686122. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
dryad36/100

Design and implementation of a brief digital mindfulness and compassion training app for health care professionals: cluster randomized controlled trial

Open the record for dataset details and reuse information.

publicFeb 2024View details →
dryad36/100

Data from: Wallace 2: A shiny app for modeling species niches and distributions redesigned to facilitate expansion via module contributions

Open the record for dataset details and reuse information.

publicDec 2022View details →
dryad36/100

Changes in participant behaviour and attitudes are associated with knowledge and skills gained by using a turtle conservation citizen science app

Open the record for dataset details and reuse information.

publicJan 2021View details →
dryad36/100

Data for "Boosting propagule transport models with individual-specific data from mobile apps"

Open the record for dataset details and reuse information.

publicNov 2022View details →
dryad36/100

Genetic and fitness measurements of Brighamia accessions for APPS

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publicJan 2022View details →
dryad36/100

Risky decision and happiness task: The Great Brain Experiment smartphone app

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publicMar 2023View details →
zenodo32/100

Hall-of-Apps: The Top Android Apps Metadata Archive

<p>The amount of Android apps available for download is constantly increasing, exerting a continuous pressure on developers to publish outstanding apps. Google Play (GP) is the default distribution channel for Android apps, which provides mobile app users&nbsp; with metrics to identify and report apps quality such as rating, amount of downloads, previous users comments, etc. In addition to those metrics, GP presents a set of top charts that highlight the outstanding apps in different categories. Both metrics and top app charts help developers to identify whether their development decisions are well valued by the community. Therefore, app presence in these top charts is a valuable information when understanding the features of top-apps. In this paper we present <strong>Hall-of-Apps</strong>, a dataset containing top charts&#39; apps metadata extracted (weekly) from GP, for 4 different countries, during 30 weeks. The data is presented as (i) raw HTML files, (ii) a MongoDB database with all the information contained in app&#39;s HTML files (e.g., app description, category, general rating, etc.), and (iii) data visualizations built with the D3.js framework. A first characterization of the data along with the urls to retrieve it can be found in our online appendix: <a href="https://thesoftwaredesignlab.github.io/hall-of-apps-tools/">https://thesoftwaredesignlab.github.io/hall-of-apps-tools/</a></p>

opencc-by-sa-4.0Feb 2020View details →
zenodo32/100

"An Empirical Study of i18n Collateral Changes and Bugs in GUIs of Android apps" Complementary Material

<p>Study results for the paper: &quot;An Empirical Study of i18n Collateral Changes and Bugs in GUIs of Android apps&quot;</p>

opencc-by-4.0May 2020View details →
zenodo32/100

Automatic Classification of Non-functional Requirements in App User Reviews Based on System Model and Artificial Intelligence

<p>This is the replication package for the paper: &quot;Automatic Classification of Non-functional Requirements in App User Reviews Based on System Model and Artificial Intelligence&quot;.&nbsp;It contains the dataset of our experiment for the&nbsp;replication&nbsp;by&nbsp;other&nbsp;researchers. In the meanwhile, we provide brief description of the files in the replication&nbsp;package in the following.</p> <p><strong>1. dataset folder</strong></p> <ul> <li>dataset_user_reviews.xlsx&nbsp; contains 1278 labelled non-requirement user reviews.</li> <li>readme.txt describes the meaning of the data in&nbsp;dataset_user_reviews.xlsx in detail.</li> </ul>

opencc-by-4.0Jun 2020View details →
zenodo32/100

MicroJam App Demo

<p>A demo of MicroJam, an experimental app for creating tiny touch-screen performances. This app allows users to create and send performances to their friends similarly to other social media services. Users can &quot;reply&quot; to performances, i.e., record another layer,&nbsp;to create ensemble-like experiences.</p>

opencc-by-4.0Apr 2017View details →
zenodo32/100

Design requirements of the app for bridging communication between a Deaf patient and healthcare personnel

<p>These design requirements were part of the findings from Co-design Activity 1. They were derived based on the ideas drawn by health professionals and Deaf participants, including suggestions regarding mobile-interface design from two renowned design guidelines of Hoober&rsquo;s and Berkman&rsquo;s (2011) and McVicar&rsquo;s (2012).&nbsp;</p>

opencc-by-4.0Oct 2020View details →
zenodo32/100

Empirical data for project: Mining user reviews of COVID contact-tracing apps

<p>Empirical data for project: Mining user reviews of COVID contact-tracing apps</p>

opencc-by-4.0Sep 2020View details →
zenodo32/100

INLUMINA (INpainting of ilLUminated MINiatures App) Dataset

<p>The&nbsp;<strong>INLUMINA</strong>&nbsp;dataset contains a total of&nbsp;<strong>36</strong>&nbsp;testing images for the inpainting problem. These images are details from the&nbsp;<strong>Fitzwilliam Museum</strong>&nbsp;collection of&nbsp;<strong>illuminated manuscripts</strong>, supplied with the inpainting mask.</p> <p>The repository is the companion dataset for the&nbsp;<a href="https://mach.maths.cam.ac.uk/software/inlumina"><strong>INLUMINA MATLAB Application</strong></a>&nbsp;and the monograph&nbsp;<strong>The Art of Inpainting</strong>, written by the MACH (Mathematics for Applications in Cultural Heritage)&nbsp;Team.</p> <p>Reference webpage:&nbsp;<a href="https://mach.maths.cam.ac.uk/datasets/inlumina/">https://mach.maths.cam.ac.uk/datasets/inlumina/</a></p>

openbsd-licenseJan 2021View details →
zenodo32/100

AH-CID: A Tool to Automatically Detect Human-Centric Issues in App Reviews

<p>The keyword list used in the paper to pre-filter the app reviews.</p>

opencc-by-4.0Jan 2021View details →
zenodo32/100

Are Smartphones and Fitness Apps Fit For Purpose? An experimental study.

<p>Data set for treadmill and fitness apps study</p>

opencc-zeroFeb 2016View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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