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25 results for “postprocessing”
Comparative Study of Postprocessing Imaging Systems for Diminutive Colonic Polyps
ClinicalTrials.gov study NCT01133041. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Simulation Data and postprocessing code for "Two-Dimensional Nonlocal Eshelby's Inclusion Theory: Eigenstress-Driven Formulation and Applications"
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>
Transcriptome analysis revealed that ischemic postprocessing improved the expression of inflammatory genes in lung ischemia-reperfusion injury
GEO Series GSE280061. Rattus norvegicus. 9 samples. Type: Expression profiling by high throughput sequencing.
Data Submittal Forms & Postprocessing Information
Excel Spreadsheets For Data Submittal
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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.
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.