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7 results for “web browsers”
[Dataset] FP-Redemption: Measuring Browser Fingerprinting Adoption for the Sake of Web Security
<p>Full dataset for the paper "FP-Redemption: Measuring Browser Fingerprinting Adoption for the Sake of Web Security"</p> <p>5 files are provided:</p> <ul> <li>dataset.csv. The raw elements collected when browsing the web. Each entry corresponds to one attribute being accessed with one parameter combination by one script on one webpage. A single attribute with the same parameters can be accessed several times. It is represented with the key <em>nbTimes</em></li> <li>domainTags.csv: For each website, it provides its category and country tag.</li> <li>webpageTags.csv: For each webpage, it provides its type.</li> <li>fingerprinters.zip/<filenumber>.js: Our fingerprinters. Out of the 199 we requested, 7 are missing, leading in 192 js files.</li> <li>mapping.csv. 3 columns CSV file: <ul> <li>The first one lists the 199 fingerprinters detected by our algorithm.</li> <li>The second one gives the <filenumber> used to link a fingerprinter and its file in the directory.</li> <li>The third one gives the groups the fingerprinters belongs to. By default, each fingerprinter belongs to his own group. However, several fingerprinters are belonging to the same group as we evaluate there were duplicates. Thus, the number of distinct groups corresponds to the distinct fingerprinters we measured in our dataset: 169.</li> </ul> </li> </ul>
Web browser useragent and activity tracking data
<p>600 000 000 web traffic records normalized into MySQL tables using TokuDB storage, complete with original web server response codes. Suitable for browser data and trend analysis as well as AI training of exploit and bot detection algorithms. The data had been collected from multiple Apache 2.x web servers across 8000+ domain names with special care for GDPR compliance.</p> <p> </p>
Opportunities and Limitations of Running Python Code in the Web Browser
<p>Python is a popular programming language that is widely used for a variety of applications such as web development, data analysis, scientific computing, and education. This versatility makes it a popular choice for developers and educators who need a language that can be used for a wide variety of tasks. While Python is typically run on the server side or on the desktop, there is a growing interest in running Python code directly on the client side, i.e., in the browser.</p> <p>There are several possibilities available for running Python code in the browser, among others,</p> <ul> <li>transpiling it into JavaScript (cf. e.g., Transcrypt),</li> <li>running it by making use of an interpreter implemented in JavaScript (cf. e.g., Brython or Skulpt),</li> <li>or executed it by leveraging a Python interpreter compiled to WebAssembly (cf. e.g., Pyodide or CoWasm), an open standard defined by the World Wide Web Consortium specifying a bytecode for running programs in browsers.</li> </ul> <p>Since the choice of the right tool for a given application depends on the specific requirements and constraints, the aim of this bachelor thesis is to provide an overview of the state of the art in running Python code in the browser. This is done by presenting a variety of different tools and environments available, their capabilities and limitations, as well as some application examples and sample code. Furthermore, similar to Kiyokawa’s & Jin’s (2022) work on “A Front-End Framework Selection Assistance System [...]”, the objective of this bachelor’s thesis is to develop criteria to help developers and educators in the selection process.</p> <p> </p> <p>Link to Respository: <a href="https://git.uibk.ac.at/csav4362/running-python-in-web-browser">https://git.uibk.ac.at/csav4362/running-python-in-web-browser</a></p>
Artifacts for "Did I Vet You Before? Assessing the Chrome Web Store Vetting Process through Browser Extension Similarity"
<p>This record contains the artifacts for the aforementioned paper.</p> <p>All artifacts are provided in <a title="https://parquet.apache.org/" href="https://parquet.apache.org/">Apache Parquet</a> format. We recommend using Python's <a title="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_parquet.html" href="https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_parquet.html">pandas library</a> to open these files.</p> <p>The following is a summary of the provided artifacts:</p> <ul> <li><code>ground-truth.parquet</code>: Contains pairs of extensions used as ground truth for evaluating the pipeline employed in our research.</li> <li><code>infringing-extensions.parquet</code>: Metadata of vetted extensions labeled by Google and infringing extensions found by our pipeline. Includes the cluster assigned by HDBSCAN and the UMAP 2D coordinates used for visualizations.</li> <li><code>embeddings.parquet</code>: Vector embeddings of infringing extensions generated by our pipeline.</li> </ul>
Testfile for support of Arabic script in web browsers
<p>A very basic HTML file for testing the extent of browser support for the `@lang` attribute in HTML5 with Arabic examples. </p>
Persistence of Glaucoma Patients With Web-Browser-Based Visual Field Test
ClinicalTrials.gov study NCT05690152. IPD Sharing: NO. Countries: 1. Publications: 4.
Web Image Formats: Assessment of Their Real-World-Usage and Performance across Popular Web Browsers - Replication Package
<p>Replication package for the paper: Web Image Formats: Assessment of Their Real-World-Usage and Performance across Popular Web Browsers. </p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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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.