CSV

This dataset comprises a comprehensive collection of educational courses, each characterized by several key attributes: interests, title, description, category, level, past experience, and rating.

This project aims to optimize the routing of large-scale Automated Guided Vehicles (AGVs) in a large-scale logistics warehouse in Japan using Quantum Annealing. The project will generate real-world operational problems and use them for performance evaluation. It is designed to be compatible with various solvers, including classical solvers and quantum annealing solvers.

Solar-powered insecticidal lamps have been widely used in agricultural pest control systems, where stable 4G connectivity is critical for real-time transmission of multi-source field data (soil parameters, pest images, and environmental metrics). However, the lack of reliable 4G signal strength datasets in agricultural scenarios, especially under rainfall conditions that cause signal degradation, poses a great challenge to deployment planning and network reliability.

This dataset presents approximately 200 hours of network traffic captures focused on online gaming and video streaming applications, addressing 5G-related challenges of high throughput and low latency. Collected in Ottawa, Canada, and globally from 11 mobile operators across nine countries, the data includes timestamps, packet lengths (bytes), protocols, and IP addresses. Supplementary information such as geolocation, content provider labels, and round-trip latency (ms) enhances usability.

El dataset desarrollado integra múltiples dimensiones relevantes para el análisis académico y profesional de los estudiantes.

SUNBURST Attack Dataset for Network Attack Detection

Overview:
The SUNBURST dataset is a unique and valuable resource for researchers studying network intrusion detection and prevention. This dataset provides real-world network traffic data related to SUNBURST, a sophisticated supply chain attack that exploited the SolarWinds Orion software. It focuses on the behavioral characteristics of the SUNBURST malware, enabling the development and evaluation of security mechanisms.

Tourism is increasing worldwide and has many benefits for countries and cities, such as creating jobs, increasing company revenue, and improving government tax collection. As such, tourism is an unstoppable trend followed by countries and municipalities that try to stimulate this activity. However, unexpected impacts of this, in principle, wealthy activity must be observed.

This is the Dataset to the Paper "Measuring Mobile Starlink Performance: A Comprehensive Look".

Abstract of the Paper:

This dataset contains original and augmented versions of the Korean Call Content Vishing (KorCCVi v2) dataset used in the study titled, "Enhancing Voice Phishing Detection Using Multilingual Back-Translation and SMOTE: An Empirical Study." The dataset addresses challenges of data imbalance and asymmetry in Korean voice phishing detection, leveraging data augmentation techniques such as multilingual back-translation (BT) with English, Chinese, and Japanese as intermediate languages, and Synthetic Minority Oversampling Technique (SMOTE).

This dataset contains the impedance and frequency response test results of commercial LED lamp beads of different brands in multiple configurations. The dataset is divided into two parts: one is a single test of LED lamp beads of different brands, covering their impedance and frequency response characteristics; the other is a test of LED lamp beads with different array configurations (such as 1x3, 4x4, 2x1, etc.) to show their performance in the array structure.