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1,532 results for “App”
Loss of the APP regulator RHBDL4 preserves memory in an Alzheimer’s disease mouse model.
GEO Series GSE288040. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
3P-seq analysis of APP, BACE1, MAPT, and SNCA mRNAs in undifferentiated SH-SY5Ycells
GEO Series GSE231101. Homo sapiens. 1 samples. Type: Other.
A high-fat diet exacerbates the Alzheimer's disease pathology in the hippocampus of the App[NL-F/NL-F] knock-in mouse model
GEO Series GSE152539. Mus musculus. 12 samples. Type: Expression profiling by array.
cgbind: A Python Module and Web App for Automated Metallocage Construction and Host- Guest Characterization: M2L4 dataset
<p>Dataset containing 5639 saved <em>cgbind</em> cage objects.</p>
The finalized mobile-information architecture for the app
<p>This mobile-information architecture was a result of Co-evaluation Activity 1. </p>
Dataset Ant-App-DB
<p>Example dataset</p>
Piano_EDU_APPs_Tracking_Data_2020_2023_byAppfigures
<p>Piano learning apps' tracking data from Jan. 2020 to Apr. 2023 through Appfigures Platform.</p>
PHIRI - WP6 - Use Case A - Austria - aggregated output of the PHIRI APP
<p>The PHIRI Federated Research Infrastructure (FRI) is supported by a containerized reproducible solution for data analysis to be deployed on-premises by each participant partner.</p> <p>This solution is based on the identification of the relevant data sources for each cases study (including the demonstration pilot), the development of the common data models and the analytical pipelines, and enables the FAIR reporting of the rapid cycle outputs.</p> <p>The aggregated dataset is produced by an <a href="https://doi.org/10.5281/zenodo.6377096">analysis script</a> integrated within the <a href="https://doi.org/10.5281/zenodo.6483177">PHIRI App</a> for PHIRI Use Case A local analyses performed on data from Austria.</p> <p>Input data conforms to the respective <a href="https://doi.org/10.5281/zenodo.6357768">Common Data Model</a>.</p> <p>The aggregated output dataset is disseminated within WP6 of the PHIRI project to allow for aggregated and comparative analyses across participating countries.</p> <p>If you wish to contribute to the PHIRI - Use Case A analyses, please contact the WP6 Coordinator through the <a href="http://www.phiri.eu/">PHIRI website</a>. </p>
AR Apps in Online Shopping
Open the record for dataset details and reuse information.
DYNAMISM - Postprocessed Execution Traces Of Android Malware and Benign Apps
<p>Protection against malware is particularly relevant on systems running the Android operating system, due to its huge use base and, therefore, its potential for monetization from the attackers.</p> <p>Protection against malware is particularly relevant in systems running the Android operating system, due to its huge users’ base and, therefore, its potential for monetization from the attackers.</p> <p>Dynamic malware detection has been widely adopted by the scientific community but not yet in practical applications.</p> <p>We release <em>DYNAMISM (Dynamic Analysis of Malware)</em>, a dataset containing execution traces of both benign and malicious applications running on Android OS, in order to facilitate further research as well as to facilitate the adoption of dynamic detection in practice. The dataset contains execution traces from 2,386 benign applications and 2,495 malicious applications taken from the Malware Genome Project repository [<a href="http://www.malgenomeproject.org/">http://www.malgenomeproject.org</a>] and from Drebin Dataset [<a href="https://www.sec.cs.tu-bs.de/~danarp/drebin/">https://www.sec.cs.tu-bs.de/~danarp/drebin/</a>]. Execution records were obtained by running the applications, one at a time, on the Android emulator. For each application, a maximum of 2,000 stimuli were applied with a maximum execution time of 10 minutes. For most of the applications, all the stimuli could be applied in this timeframe. In some of the traces none of the two limits is reached due to emulator hiccups. Collected features are related to the memory and CPU usage, network interaction and system calls and their monitoring is performed with a period of two seconds. The Android emulator of the Android Software Development Kit for Android 4.0 (release 20140702) was used. To guarantee that the system was always in a mint condition when a new sample is started, thus avoiding possible interference (e.g., changed settings, running processes, and modifications of the operating system files) from previously run samples, the Android operating system was each time re-initialized before running each application. The application execution process was automated by means of a shell script that made use of Android Debug Bridge (adb) and that was run on a Linux PC. The Monkey application exerciser was used in the script as a generator of the aforementioned stimuli. The Monkey is a command-line tool that can be run on any emulator instance or on a device; it sends a pseudo-random stream of user events (stimuli) into the system, which acts as a stress test on the application software.</p> <p>In this dataset, we provide both per-app CSV files as well as unified files, in which CSV files of single applications have been concatenated. The CSV files contain the features extracted from the raw execution record. The provided files are listed below:</p> <ul> <li> <p>benign-per_app-csv.zip - features obtained by executing benign applications, one CSV per application</p> </li> <li> <p>benign-unified-csv.zip - features obtained by executing benign applications, only one CSV file</p> </li> <li> <p>malicious-per_app-csv.zip - features obtained by executing malicious applications, one CSV per application</p> </li> <li> <p>malicious-unified-csv.zip - features obtained by executing malicious applications, only one CSV file</p> </li> </ul>
FIGURE 1 in Mind your app: Could plant ID applications lead to an increase in extinction risk?
FIGURE 1. Plant ID applications performance in Andalusia (south Spain). (A) Study area by Sánchez-Romero (2022) (B) Percentage success rate for the apps analyzed. (C) Ononis varelae Devesa (1986: 84), an endemic Leguminosae taxon from the southwestern Iberian Peninsula, not correctly identified by any of the apps tested.
Feasibility of a Software App for Testing Inattention in Delirium
ClinicalTrials.gov study NCT02603380. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Cope 360 App for Caregivers of Children With Cancer
ClinicalTrials.gov study NCT05112458. IPD Sharing: NO. Countries: 0. Publications: 0.
Mobile App for Symptoms Monitoring in Cancer Patients: a Pilot Study
ClinicalTrials.gov study NCT04572282. IPD Sharing: NO. Countries: 0. Publications: 0.
Effect of the App Bone@BC Version 4.0 Under the Follow-up for Patients With Early Breast Cancer
ClinicalTrials.gov study NCT05280288. IPD Sharing: NO. Countries: 0. Publications: 0.
MATAspire: Mental Health Awareness Tailored App for Substance Prevention and Integrated Resilience Education
ClinicalTrials.gov study NCT06553196. IPD Sharing: NO. Countries: 0. Publications: 0.
A Mobile App to Improve Participation in Following-up Cohorts
ClinicalTrials.gov study NCT04714788. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Validation of a Snoring App Against Commercially Available Applications and PSG
ClinicalTrials.gov study NCT07097597. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Evaluation of iDECIDE: A Smartphone App for Insulin Dosing Accounting for Alcohol and Exercise
ClinicalTrials.gov study NCT02835183. IPD Sharing: NO. Countries: 0. Publications: 0.
Efficacy of an Smartphone App Intervention Based on Self-compassion for Mental Health Among University Students
ClinicalTrials.gov study NCT05839015. IPD Sharing: NO. Countries: 0. Publications: 0.
ScienceDex guides
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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.