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1,532 results for “App”
IMGDroid's dataset -1000 apps
<p>This is one of the data sets used by IMGDroid, which includes 1000 commercial Android apps. </p> <p>Please note that these apps in the data set can only be used for research. The copyright is preserved by the app vendor.</p>
IMGDroid's dataset -21 apps
<p>This is one of the data sets used by IMGDroid, which includes 21 Android apps collected from F-Droid. </p> <p>Please note that these apps in the data set can only be used for research. The copyright is preserved by the app vendor.</p>
Risky decision and happiness task: The Great Brain Experiment smartphone app
<p>This resource consists of data from a risky decision and happiness task that was part of The Great Brain Experiment (GBE) smartphone app. Data were collected from 47,067 participants aged 18+ between March 8, 2013 and October 5, 2015. These anonymous unpaid participants completed the task a total of 91,058 times making approximately 2.7 million choices and 1.1 million happiness ratings in total. This resource represents at least 6,000 hours of task data. A subset of 1,858 participants also completed a depression questionnaire and answered five questions about their depression history.</p>
Accessing the hidden parts of the Parler iOS app using dynamic runtime instrumentation
<p>Example of how to use the objection mobile exploration tool and the Frida dynamic instrumentation framework to access otherwise hidden parts of the Parler social network iOS app.</p>
Changes in participant behaviour and attitudes are associated with knowledge and skills gained by using a turtle conservation citizen science app
Citizen science has become a popular way to collect biodiversity data and engage the wider public in scientific research. It has the potential to improve the knowledge and skills of participants, and positively change their behaviour and attitude towards the environment. Citizen science outcomes are particularly valuable for wildlife conservation, as they could help alleviate human impacts on the environment. We used an online questionnaire to investigate the consequences of participating in an Australian turtle mapping app, TurtleSAT, on skills and knowledge gain, and test for any association between these gains with behavioural or attitudinal changes reported by the participants. 148 citizen scientists completed our questionnaire, mostly from the states of New South Wales and Victoria. Participants listed TurtleSAT as the third most common source of knowledge about turtle ecology and conservation, after a talk about turtles and personal observations/research. Citizen scientists who participated more often were more knowledgeable about turtles than infrequent users. Self-reported gains in knowledge and skills were positively linked to attitudinal and behavioural changes, such as being more aware of turtles on roads. However, behaviour and attitude changes were not related to participation rate. Respondents also reported that after learning about the current decline in turtle populations, they adopted several turtle-friendly practices, such as habitat restoration or moving turtles out of harm's way, underlining the importance of increasing people's awareness on species declines. The reported changes in attitudes and behaviours are likely to positively impact the conservation of Australian freshwater turtles. Engagement with citizen science projects like TurtleSAT may result in participants being more interested in the natural world, by learning more about it and being more exposed to it, and therefore contribute more actively to its protection.
Trnio app - Maya Cup for Drinking Cacao
1st scan using $2.99 app Trnio. Big problems with app getting horizontal axis correct. Lots of correction needed in Sketchfab's editor. This is a modern replica created by a current Maya artist in Guatemala and sold for the tourist trade near Tikal. Source: Objaverse 1.0 / Sketchfab
Ensemble Metatone Agent and App Study Data (2014-07-19)
<p>This repository contains recordings of performances made by Ensemble Metatone (Christina Hopgood, Yvonne Lam, and Jonathan Griffiths) as part of a formal study of touch-screen apps and ensemble director agents. Video recordings as well as touch-data logs are included for each of the 18 performances.</p> <p>Three apps were used in the sessions: Snow Music (SM), Bird’s Nest (BN), and Singing Bowls (SB). Two agents were used: a gesture classifying agent (CLA), and an agent that generated similar signals from a statistical model (GEN) that was not connected to the performers’ actions.</p>
Snow Music App Demo
<p>This video shows a demo of Snow Music, a touch-screen musical instrument app for iPad. Snow Music allows performers to interact percussively with field recordings of snow sounds collected in Piteå, Sweden in February 2012. The app also features three backing soundscapes that can be controlled by the switches in the corners of the screen. Revisions in 2014 refined the musical interaction and synthesis systems to allow more expressive performance with a wider range of snow and ice sounds. Visual feedback was also added for the soundscape generators, that is, fading blue and white circles that indicated when the generators had played a note.</p> <p> </p>
MetaLonsdale App Demo
<p>This video shows a demo of MetaLonsdale, a touch-screen musical instrument app for iPad. MetaLonsdale is a collaborative musical instrument originally created for a performance at Everything Nothing Projects at Lonsdale St Traders in Canberra, Australia. The app provides a free-form touch area that can be tapped and swiped to perform field recordings from this venue as well as an array of percussive sounds. GUI switches control a looping function and an autoplay feature that triggers clusters of quiet sounds. The sounds and tonality of the instrument can be shuffled by pressing the “sounds” button.</p> <p>The app was originally created as a revision of MetaTravels, the prototype app used in Ensemble Metatone's early rehearsals. Improvements in MetaLonsdale included a refined user interface and a sequence of pre-defined scales for pitched sounds that provided a sense of harmonic motion in performances. A network feature enables multiple devices running Meta-Lonsdale on the same WiFi network to find each other automatically and to control each other's tonality, looping, and autoplay functions. Following the premiere performance, MetaLonsdale was integrated into Ensemble Metatone's performance and research practice in 2013 and the app was subsequently released on the iTunes App Store.</p>
ROMtels Enquiry 2 Apps media package
<p>Zip file with images needed for apps used in ROMtels Enquiry 2 Ancient Mesopotamia, including media credits list to show Creative Commons or other attribution for each image. </p> <p>These images are used to customise the apps in the ROMtels software package (https://zenodo.org/record/269642#.WNJoboOLSUk). We encourage teachers to also use them as standalone apps. </p> <p>More information about ROMtels enquiries, including user guides and an overview of this enquiry: http://research.ncl.ac.uk/romtels/resources/tech/ </p>
ROMtels Enquiry 1 Apps media package
<p>Zip file with images needed for apps used in ROMtels Enquiry 1 Great Fire of Newcastle and Gateshead, including media credits list to show Creative Commons or other attribution for each image. </p> <p>These images are used to customise the apps in the ROMtels software package (https://zenodo.org/record/269642#.WNJoboOLSUk). We encourage teachers to also use them as standalone apps. </p> <p>More information about ROMtels enquiries, including user guides and an overview of this enquiry: http://research.ncl.ac.uk/romtels/resources/tech/ </p>
Unveiling Competition Dynamics in Mobile App Markets through User Reviews
<p>This replication package contains the datasets and evaluation results for the research titled <i>"<strong>Unveiling Competition Dynamics in Mobile App Markets through User Reviews"</strong>, </i>by Quim Motger, Xavier Franch, Vincenzo Gervasi and Jordi Marco.</p><p>Latest version of the full code is available at: <a href="https://github.com/quim-motger/app-market-analysis">https://github.com/quim-motger/app-market-analysis</a></p>
NOMAD mini-app suite checkpoints
<p>Checkpoint inputs for the execution of the NOMAD mini-apps suite. Calculation of ZrO2 crystal with the G0W0 implementations of exciting and Abinit, and FHI-aims, and hcp-Si test case for FHI-aims code.</p>
ChromatoShiny: an interactive R/Shiny App for plotting chromatography profiles
<p>Raw data for the manuscript.</p> <p>"011221_Run15_533.tif" - an uncropped gel scan (Fig. 1A)</p> <p>"CPC_SurvK62A_preps_CPC_SP_IE512.tif" - a scan of the marker used in the gel image in Fig. 1A (the gel on the right)</p> <p>"Fig. 1B.pdf" - a raw plot for Fig. 1B exported from the shiny app</p> <p>"Fig. 1C.pdf" - a raw plot for Fig. 1C exported from the shiny app</p> <p>"Fig. 2A.pdf" - a raw plot for Fig. 2A exported from the shiny app</p> <p>"Fig. 2B.png" - a raw screenshot from the shiny app for Fig. 2B </p> <p>"Fig. 3.pdf" - a raw plot for Fig. 3 exported from the shiny app</p> <p> </p>
Design and implementation of a brief digital mindfulness and compassion training app for health care professionals: cluster randomized controlled trial
<p><strong>Background: </strong>Several studies show that intense work schedules make health care professionals particularly vulnerable to emotional exhaustion and burnout.</p> <p><strong>Objective:</strong> In this scenario, promoting self-compassion and mindfulness may be beneficial for well-being. Notably, scalable, digital app–based methods may have the potential to enhance self-compassion and mindfulness in health care professionals.</p> <p><strong>Methods: </strong>In this study, we designed and implemented a scalable, digital app–based, brief mindfulness and compassion training program called "WellMind" for health care professionals. A total of 22 adult participants completed up to 60 sessions of WellMind training, 5-10 minutes in duration each, over 3 months. Participants completed behavioral assessments measuring self-compassion and mindfulness at baseline (preintervention), 3 months (postintervention), and 6 months (follow-up). In order to control for practice effects on the repeat assessments and calculate effect sizes, we also studied a no-contact control group of 21 health care professionals who only completed the repeated assessments but were not provided any training. Additionally, we evaluated preand postintervention neural activity in core brain networks using electroencephalography source imaging as an objective<br>neurophysiological training outcome.</p> <p><strong>Results:</strong> Findings showed a post- versus preintervention increase in self-compassion (Cohen d=0.57; P=.007) and state-mindfulness (d=0.52; P=.02) only in the WellMind training group, with improvements in self-compassion sustained at follow-up (d=0.8; P=.01). Additionally, WellMind training durations correlated with the magnitude of improvement in self-compassion across human participants (ρ=0.52; P=.01). Training-related neurophysiological results revealed plasticity specific to the default mode network (DMN) that is implicated in mind-wandering and rumination, with DMN network suppression selectively observed at the postintervention time point in the WellMind group (d=–0.87; P=.03). We also found that improvement in self-compassion was directly related to the extent of DMN suppression (ρ=–0.368; P=.04).</p> <p><strong>Conclusions:</strong> Overall, promising behavioral and neurophysiological findings from this first study demonstrate the benefits of brief digital mindfulness and compassion training for health care professionals and compel the scale-up of the digital intervention.</p>
Student Stress Resilience app first efficacy study
<p>Experimental group students (n=25) used the SSResilience app for two weeks. Control group students (n=50) used different means to set goals. All students were pre-tested and post-tested on anxiety, well-being and resilience using standardized questionnaires.</p>
Artifacts for Demystifying Device-specific Compatibility Issues in Android apps
<p>This artifact is for the paper "Demystifying Device-specific Compatibility Issues in Android Apps."</p> <p>We include our repositories link, commit hash, our GitHub crawler, its output, and some representative examples for Device-specific compatibility issues in this artifact.</p> <p>Please checkout the README.pdf first. The main artifact pack is the `device-specific-artifacts.zip`.</p> <p>Other zips starting with "repo-" are repositories archives.</p>
The codes and datasets for the paper titled "Don't Confuse! Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users"
<h3>Project Title:</h3> <p>Redrawing GUI Navigation Flow in Mobile Apps for Visually Impaired Users</p> <h3>Description:</h3> <p>This project enhances GUI navigation accessibility for visually impaired users by analyzing GUI structures, identifying issues, and optimizing navigation flow.</p> <h3>Contents:</h3> <ol> <li><strong>Risk Warnings</strong></li> <li><strong>Variable Explanations</strong></li> <li><strong>Function Descriptions</strong></li> <li><strong>Usage Instructions</strong></li> <li><strong>Contact Information</strong></li> </ol> <h3>1. Risk Warnings:</h3> <ul> <li>Navigation analysis focuses on visible nodes only.</li> <li>Code maintenance issue in loop C.</li> <li>Prior reading of the "Info" button warning is essential.</li> <li>Potential information loss in the reordering algorithm.</li> </ul> <h3>2. Variable Explanations:</h3> <ul> <li>Constants: parameter1, parameter2, outputSign.</li> <li>Global Variables: nodeString, nodeList, intToRect, intToDir, intToInfo, infoToInt, intToSubRect, intToSubKind.</li> <li>Local Variables: sortedSon, sign, acceptable.</li> </ul> <h3>3. Function Descriptions:</h3> <ul> <li><strong>isNodeVisibleOnScreen</strong>: Checks if a node is visible on the screen.</li> <li><strong>Gestalt</strong>: Conducts a depth-first search traversal of all nodes and records the Gestalt_inspired order.</li> <li><strong>checkNodeNecessity</strong>: Further checks if a node is necessary for navigation.</li> <li><strong>DFS</strong>: Used for the reordering algorithm.</li> </ul> <h3>4. Usage Instructions:</h3> <ul> <li>Ensure thorough understanding of risk warnings.</li> <li>Modify and maintain the code as necessary.</li> <li>Read the warning prompt before using the "Info" button.</li> <li>Exercise caution with potential information loss in reordering.</li> </ul> <h3>5. Contact Information:</h3> <ul> <li>Developer: Mengxi Zhang</li> <li>Email: <a target="_new">zmxalakay@126.com</a></li> </ul> <p><strong>Note</strong>: This README provides a brief overview. Refer to the User_Guidelines documentation for detailed information.</p>
Toy dataset for GLOSSA Shiny app
<p>This toy dataset is designed to help users get started with the GLOSSA Shiny app. It includes occurrences for two species: one globally distributed (<code>sp1.txt</code>) and another endemic to the continental shelf of Australia (<code>sp2.csv</code>). The dataset also contains four predictor variables: two continuous and two categorical (<code>fit_layers.zip</code>). Additionally, it includes files representing two projected climate scenarios (<code>project_layers_1.zip</code> and <code>project_layers_2.zip</code>). We also include two polygons to define the extent of the study area: a global polygon object (<code>world.gpkg</code>) and a polygon delimiting the Australian region (<code>oceania.gpkg</code>).</p>
Genetic and fitness measurements of Brighamia accessions for APPS
<p><span><span><strong>Premise of the study:</strong><i> </i>Living collections maintained for generations are at risk of diversity loss, inbreeding, and adaptation to cultivation. To address these concerns the zoo community uses pedigrees to track individuals and implement crosses that maximize founder contributions and minimize inbreeding. Using a pedigree management approach in an exceptional plant, we demonstrate how conducting such strategic crosses can minimize genetic issues that have arisen under current practices. </span></span></p> <p><span><span><strong>Methods:</strong> We performed crosses between these collections and compared the fitness of progeny, including plant performance and reproductive health. We genotyped the progeny and paternal accessions to measure changes in diversity and relatedness within and between accessions. </span></span></p> <p><span><span><strong>Results:</strong><i> </i>The mean relatedness among individuals of an accession, suggests they are full siblings. As a result there was high inbreeding and low diversity within an accession, although less so among accessions. Progeny from the wider crosses had increased genetic diversity, while selfed accessions were smaller and less fertile. </span></span></p> <p><span><span><strong>Discussion:</strong> Institutions which hold exceptional species should consider how diversity is maintained within their collections. Implementing a pedigree-based approach to managing reproduction of ex situ plants will slow the inevitable loss of genetic diversity and in turn, result in healthier collections. </span></span></p>
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.