Loading...
Loading...
Source code corpora, bug reports, vulnerability databases, network intrusion detection, malware samples
2,230 datasets
Canada's Office of the Auditor General produced a briefing package for a parliamentary committee hearing on December 10, 2025. The document is a follow-up to the Auditor General's Fall 2025 report concerning programs for First Nations. It was last updated on the open_canada platform in May 2026.
Khorshed Alam's work compares intrusion detection models using deep reinforcement learning and data balancing techniques. The dataset likely contains processed network flow data from multiple benchmark sources like NF-BoT-IoT and NF-CSE-CIC-IDS2018. The source code and supporting data were published on figshare in April 2026.
Khorshed Alam published a 5.5 KB Excel file on figshare in April 2026. The dataset supports validation of a novel deep reinforcement learning approach for network intrusion classification. It includes results from testing on benchmark datasets like NF-BoT-IoT, NF-UNSW-NB15, NF-ToN-IoT, NF-ToN-IoT-v2, NF-CSE-CIC-IDS2018, and NF-UNSW-NB15-v3.
Khorshed Alam published results on April 16, 2026, evaluating a novel deep reinforcement learning approach for network intrusion classification. The work tested the method on benchmark datasets NF-BoT-IoT, NF-UNSW-NB15, NF-ToN-IoT, NF-ToN-IoT-v2, NF-CSE-CIC-IDS2018, and NF-UNSW-NB15-v3. The associated data file is 5.5 KB in size and available under a CC-BY-4.0 license.
Khorshed Alam published a dataset on figshare in April 2026 detailing a training-testing split strategy for network intrusion classification. The work proposes a deep reinforcement learning approach integrated with Echo State Networks and evaluates data balancing techniques like Borderline-SMOTE and K-means SMOTE. Validation was conducted on benchmark datasets including NF-BoT-IoT and NF-CSE-CIC-IDS2018.
Australian Ocean Data Network hosts a report from a 1973 JOIDES planning committee meeting in Zurich. The document, titled 'Future of the Deep Sea Drilling Project after 1975', likely contains discussions and projections about the scientific drilling program. It is available in HTML and PDF formats and was last updated on the platform in June 2026.
London 2012 Olympic and Paralympic Games data on ticket sales for selected sports and all sessions where UK athletes won gold medals. The dataset was published by the Greater London Authority to coincide with the London Assembly Economy Committee report 'The Price of Gold: Lessons from London 2012 ticket sales'. It was last updated on 2026-06-24 21:10:25.711224.
20,000,000 rows of high-fidelity synthetic malware analysis events designed for security AI training. The dataset is produced by Zia-Data-Labs and was last updated on June 12, 2026. It avoids exposing real binaries or proprietary threat intelligence.
Assembly code fragments extracted from malicious and benign Portable Executable (PE) files. The dataset was created to support deep learning-based malware classification and is hosted on Hugging Face by author qwewerewq. It was last updated on June 13, 2026.
Zia Data Labs generated a production-grade synthetic dataset containing 20,000,000 rows of high-fidelity vulnerability scanning telemetry. The dataset is pre-sharded into 40 Parquet files and was last updated on 2026-06-11. It is intended for building next-generation vulnerability management and patch prioritization models.
A list of London Assembly Members and their committee assignments. The data is provided by the Greater London Authority and was last updated on 2026-06-24. It likely contains records linking individual Assembly Members to the specific committees on which they serve.
Liodon-ai compiled this dataset from multiple open-source code review datasets on Hugging Face. It is designed for training language models to perform code review tasks, covering bugs, performance issues, security concerns, code style, and best practices. The dataset was last updated on June 20, 2026.
BMR marine program Report by a BMR committee on forward marine program is a government document outlining strategic marine science and policy for Australia. The report likely contains committee findings, program recommendations, and survey plans related to oceanographic research. It is published by the Australian Ocean Data Network and appears in HTML and PDF formats.
Danil Annenkov of Aarhus University provides source code related to a paper on extracting smart contracts tested and verified in Coq. The dataset is published on the paperswithcode platform. The specific content and scale of the source code files are not detailed in the available metadata.
EasyCommit is a dataset related to a non-blocking two-phase commit protocol. The dataset is associated with a paper authored by Suyash Gupta from the University of California, Davis and is hosted on the Papers with Code platform. The specific content, size, and format of the dataset are not detailed in the available metadata.
Research data for the publication 'Revealing the Cyber Security Non-Compliance Attribution Gulf'. The dataset was created by author Jacques Ophoff and is associated with an open-access paper. The specific content and size of the data are not detailed in the provided metadata.
Source code related to case studies, likely from academic or research projects. The code is authored by Sven Keidel from Delft University of Technology and is hosted on the Papers with Code platform. The specific number of files, programming languages, and project details are not provided in the metadata.
55.9 MB ZIP archive containing the complete source code and dataset used in a study by Sawera Qureshi. The materials were uploaded to figshare in May 2026 under a CC-BY-4.0 license to support implementation, analysis, and reproducibility of the reported results.
Geoscience Australia hosts this spectral library for aquatic substrates within the National Spectral Database. The data underpins a 2007 technical report on remote sensing of marine and coastal features for the Adelaide Coastal Waters Study. It likely contains spectral signatures for different seabed materials like sand, seagrass, or coral, collected via remote sensing instruments.
Willow Surface-Code Detection Events contains detection events and logical-observable flips derived from Google's below-threshold surface-code dataset. The data is ingested from a Zenodo source and represents experimental shots for rotated surface codes at distances 3, 5, and 7 in X and Z memory. Author ShayManor uploaded the dataset to Hugging Face, with a last recorded update on 2026-06-19.