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Source code corpora, bug reports, vulnerability databases, network intrusion detection, malware samples
1,561 datasets
Brisbane City Council's Coastal Flood Study provides technical reports and metadata for flood modeling and risk management. The dataset includes linked PDF reports from April 2015 and metadata detailing the data used for storm tide and coastal flood analysis. It is authored by the Council's open data team and updated in 2026.
Brisbane City Council provides a Citywide Creek and Overland Flow Path Mapping Flood Study comprising 27 individual sub-models covering the entire council area. The study includes results data for flood height, depth, and hazard for eight different storm event recurrence intervals. It was produced by GHD in April 2017 to inform flood risk management policy.
27 sub-models cover the entire Brisbane City Council area. This dataset provides flood height, depth, and hazard results for the Upper Bulimba sub-model across 2 to 2000-year storm recurrence intervals. It was produced by Brisbane City Council as part of a citywide flood study.
27 individual sub-models cover the entire Brisbane City Council area for flood risk analysis. Results include flood height, depth, and hazard data for storm events with recurrence intervals from 2 to 2000 years. The dataset is part of the Citywide Creek and Overland Flow Path Mapping Flood Study managed by Brisbane City Council.
Flood modeling results for the Lower Bulimba sub-model contain data for flood height, depth, and hazard across eight Average Recurrence Interval storm events. Brisbane City Council produced this dataset as part of a citywide study comprising 27 sub-models to manage flood risk.
Brisbane City Council's flood study contains reports, metadata, and results data for the Moggill West sub-model, one of 27 covering the entire council area. Results include flood height, depth, and hazard data for 2 to 2000-year storm events.
Brisbane City Council's flood study for the Enoggera sub-model provides results data for flood height, depth, and hazard across eight storm recurrence intervals. The dataset is part of a citywide study comprising 27 individual sub-models covering the entire council area. It contains reports, metadata, and modeling data used to inform flood risk management policy.
27 individual sub-models cover the entire Brisbane City Council area for flood risk management. The dataset contains reports, metadata, and results data for flood height, depth, and hazard across eight storm event recurrence intervals. It was produced by Brisbane City Council and last updated in March 2026.
Brisbane City Council provides metadata from its Citywide Creek and Overland Flow Path Mapping Flood Study. The study comprises 27 individual sub-models covering the entire council area, with results for flood height, depth, and hazard across eight storm recurrence intervals.
Flood study results from Brisbane City Council's citywide overland flow mapping project, comprising one of 27 individual sub-models. It contains data for flood height, depth, and hazard across eight storm recurrence intervals from 2 to 2000 years. The study provides technical data for flood risk management within the Brisbane River and local catchment areas.
27 sub-models covering the entire Brisbane City Council area provide flood height, depth, and hazard results for storm events with 2 to 2000-year recurrence intervals. The dataset contains reports, metadata, and modeling results for existing floodplain conditions, produced by Brisbane City Council to inform flood risk management policy.
A legacy report from the Bureau of Mineral Resources (BMR) committee outlining a forward marine program. The document is published by Geoscience Australia on data.gov.au and was last updated on 2026-05-14. No abstract or sample data is available for content verification.
xAFS is an evaluation dataset for agentic retrieval over realistic, cross-context personal file systems. Each data point is a synthetic-but-realistic person with a folder containing emails, Slack exports, meeting notes, lab notebooks, contracts, photos-described-as-text, journals, and code reviews. The dataset was created by supermemory and last updated on Hugging Face in May 2026.
McNdroid is a large-scale, longitudinal, multimodal dataset for Android malware detection designed to benchmark concept drift robustness. It spans samples collected from 2013 to 2025 and provides three complementary modalities: static feature vectors, API call graphs (GML), and JSON-based behavioral representations. The dataset was created by IQSeC-Lab.
A 2.2 GB dataset created by G. Sai Chaitanya Kumar and last updated on 2026-04-21. It contains data for evaluating a lightweight intrusion detection system based on E-GhostNetV2-MobileNeXt, designed to secure the Internet of Health Things (IoHT). The study utilized three widely recognized public datasets for multiclass and binary classification analyses.
73,610 binaries spanning 248 open-source projects, compiled with multiple compilers and optimization levels for Linux and Windows. The dataset includes multi-year version histories and is linked to 329 CVEs. It was uploaded by author changliu8541 to Hugging Face, with a fix noted in May 2026.
A tabular dataset curated for evaluating predictive models on independent and identically distributed data, with the intended task of classification. The data originates from a 2014 study on phishing detection using associative classification data mining and is licensed under CC BY 4.0.
One official declaration from the 2018 G7 Charlevoix Summit outlines shared principles for tackling marine plastic pollution. The document was issued by the leaders of the Group of Seven and is archived by Global Affairs Canada. It is preserved for research and recordkeeping purposes only.
Record for source data hosted in the National Spectral Database (NSD) Aquatic Library. The dataset is part of a 2007 technical report for the Adelaide Coastal Waters Study, prepared by David Blackburn Environmental Pty Ltd and CSIRO Land and Water. It is managed by Geoscience Australia Data and was last updated in April 2026.
A spectral library for aquatic substrates collected from Adelaide coastal waters in 2003. The data is hosted in the National Spectral Database and was created as part of a remote sensing study for the Adelaide Coastal Waters Study Steering Committee. The final technical report was published in July 2007 by David Blackburn Environmental Pty Ltd and CSIRO Land and Water.