*.avi; *.csv; *.txt; *.zip

Dataset with syntentic TLSA DNS records for DNSSEC evaluation. Created with several RSA2048, RSA3072, RSA4096, ECDSAP256, ECDSAP384, or ECDSAP512 keys. Note: ECDSAP256 conforms to prime256v1, ECDSAP348 conforms to secp384r1 and  ECDSAP512 conforms to secp521r1

Keys and certificates are repeated using a factor of 500. Keys and certificates are available in https://gitlab.gast.it.uc3m.es/dnsseccollisions/tlsadataset

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The experiments were conducted at RAICo Lab in West Cumbria. The data were real-time data collected during experiments to validate the CAP system. The underwater robot moves autonomously along three different paths, while the surface robot follows the underwater robot's movement simultaneously. The uploaded file consists of nine data sets. Three experiments were conducted for each trajectory, resulting in a total of nine datasets. The nine subsets are: Lawnmower1-3, Random1-3, and Square1-3.

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We introduce a dataset comprised of energy consumption data from smart meters in French households, capturing detailed, disaggregated time series for various home appliances. This dataset covers a six-month period with a one-minute sampling rate across five different households. The objective of this dataset is to support the development of models that learn disentangled representations of time series energy data, which can significantly enhance model generalization across both in-distribution and out-of-distribution scenarios.

 

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e used a mixed dataset\cite{ye2023geneface}in our experiments, where part of the data was referenced from the publicly available dataset provided by GaussianTalking\cite{li2025talkinggaussian}, and additional data was collected by ourselves. Specifically, we selected four high-definition talking video clips from the publicly available dataset, including two male portraits, "Macron" and "Obama" and one female portrait, "May". These video clips are centered on the subject, with an average length of 6500 frames and a frame rate of 25 FPS.

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About the data

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This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-99 The Fifth International Conference on Knowledge Discovery and Data Mining. The competition task was to build a network intrusion detector, a predictive model capable of distinguishing between bad'' connections, called intrusions or attacks, andgood'' normal connections. This database contains a standard set of data to be audited, which includes a wide variety of intrusions simulated in a military network environment.

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This dataset extends the standard Myers-Briggs Type Indicator (MBTI) dataset, widely available on Kaggle, by incorporating advanced data augmentation techniques leveraging GPT-based Transformers. The augmentation addresses inherent class imbalance and data sparsity issues in the original dataset, significantly enriching the volume and diversity of textual samples while maintaining linguistic and contextual fidelity to the MBTI personality types.

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This dataset comprises raw CAN bus messages collected from five different EV car manufacturers. The primary focus of the dataset is on battery-related messages, although it also includes other general car communication messages. These raw CAN bus messages represent the fundamental data exchanged between various components of the electric vehicle, such as the battery management system (BMS), motor controller, and other electronic control units (ECUs).

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539 Views

This study analyzes and characterizes the relationship between human emotions and other elements (social bots and echo chambers), which are major factors in the spread of information, including disinformation and misinformation. The data set consists of a CSV file of posts that match the target word and period, and a database of the accounts that made the posts.

 

The following is a overall description of the objects and what the audience can expect to gain by downloading them.

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This dataset supports the manuscript titled “Strategies for Mitigating Degradation of Medium Voltage Electrical Equipment in Harsh Saline Environments.” The study focuses on identifying and addressing the challenges faced by medium voltage equipment in coastal environments characterized by high salinity, humidity, and extreme weather conditions. The dataset includes:

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