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Research Paper
Industrial IoT Apr 10, 2026

IIoT Metalworking Fluid Degradation — Real-World Physicochemical Sensor Monitoring [Multi-Month]

Real-world IIoT multivariate time series dataset tracking physicochemical degradation of metalworking fluid over several months. Includes imputed benchmark variants for 5 methods. CSV format. Designed for predictive maintenance and anomaly detection research in manufacturing.

Mendeley Data
Cybersecurity Feb 07, 2026

MQTTEEB-D: Real-World IoT Cybersecurity Dataset for AI-Powered Threat Detection in MQTT Networks

A real-world cybersecurity dataset capturing MQTT-based IoT network traffic with live attacks and anomalous behavior. Collected from an active deployment with multiple attack types including DoS, SlowITe, and malformed injections. Provides both raw and preprocessed CSV files with rich metadata for intrusion detection and anomaly classification research.