Kaggle
Industrial IoT
Feb 05, 2026
This Industrial IoT dataset provides synthetic yet realistic sensor data simulating equipment operation under normal and various failure conditions. Designed for predictive maintenance and machine learning, it includes sensor specifications, operational thresholds, and failure labels, allowing researchers to develop anomaly detection models without the constraints of sensitive real-world industrial data.
Scientific Reports (Nature)
Industrial IoT / Predictive Maintenance
Feb 04, 2026
A multi-sensor dataset from a real manufacturing environment monitoring CNC machine degradation through vibration, temperature, current, and acoustic emission sensors over a 6-month period.
Data in Brief / Mendeley Data
Industrial IoT / Predictive Maintenance
Jan 28, 2026
Triaxial vibration time-series from an induction motor bearing under healthy and multiple fault severities (inner/outer race) at different mechanical loads, sampled at 10 kHz for condition monitoring research.[page:2][web:165]
University
Industrial IoT
Jan 23, 2026
State-of-the-art IIoT dataset from Canadian Institute for Cybersecurity with synchronized sensor and network data from 40 devices including 15+ industrial sensors. Features multi-objective feature selection for anomaly detection in industrial environments.
University
Industrial IoT
Jan 22, 2026
Realistic cybersecurity dataset with 14 attack types from 10+ IoT/IIoT device types including sensors, actuators, and industrial controllers. Supports centralized and federated learning with 61 optimized features.
Kaggle
Industrial IoT
Jan 17, 2026
Real-time IoT sensor data collected from industrial machines for predictive maintenance and anomaly detection in smart manufacturing environments, featuring temperature, vibration, pressure readings, and machine operational status for Industry 4.0 applications.
Kaggle
Industrial IoT
Jan 17, 2026
Comprehensive Industrial IoT dataset simulating real-time edge computing scenarios with sensor data, network latency metrics, Fuzzy PID controller outputs, and predictive failure labels for smart manufacturing and autonomous decision-making research.
Mendeley
Industrial IoT / Network Security
Jan 16, 2026
Comprehensive honeypot dataset for analyzing DDoS attacks on IoT devices, containing 10 key attributes from PCAP data converted to CSV format.
University
Industrial IoT
Jan 13, 2026
A comprehensive augmented dataset containing 60,000 observations for predicting electrical grid stability in decentralized smart grid control (DSGC) systems. Ideal for testing binary classification algorithms and deep learning models in energy management.
Kaggle
Industrial IoT
Jan 13, 2026
Real-time sensor data for industrial equipment with maintenance history. Designed for developing predictive maintenance models, failure mode analysis, and maintenance planning systems.
Government
Industrial IoT
Jan 12, 2026
Simulated run-to-failure degradation data from turbofan jet engines. This dataset is widely used as the benchmark for predicting Remaining Useful Life (RUL) in industrial systems.
GitHub
Industrial IoT
Jan 12, 2026
Benchmark dataset from Bosch for process monitoring of milling machines based on high-resolution acceleration data.
GitHub
Industrial IoT
Jan 12, 2026
945 IoT sensor records from IBM's official repo monitoring equipment with pressure measurements for machine failure prediction.
GitHub
Industrial IoT
Jan 12, 2026
Sensor logs (accelerometer, temperature) from a 3D printer capturing normal operation vs. various failure modes like nozzle clogging.
University
Industrial IoT
Jan 12, 2026
Multi-sensor data (pressure, temperature, flow) from a hydraulic test rig for fault diagnosis of cooler, valve, pump, and accumulator.
External
Industrial IoT
Jan 10, 2026
Synthetic and real vibration signals from conveyor belt motors, simulating normal operation vs. bearing failure for IIoT maintenance.
External
Industrial IoT
Jan 09, 2026
Condition monitoring of hydraulic systems using multi-sensor fusion (Pressure, Temperature, Vibration) to detect internal failures.
External
Industrial IoT
Jan 08, 2026
Vibration and wear data from industrial milling machines. Used to predict tool failure before it happens (Prognostic Data).
External
Industrial IoT
Jan 07, 2026
Synthetic dataset reflecting real predictive maintenance data encountered in industry with 10,000 data points.
External
Industrial IoT
Jan 07, 2026
The gold standard dataset for Predictive Maintenance (PdM). Simulates engine degradation over time to predict Remaining Useful Life (RUL).
External
Industrial IoT
Jan 06, 2026
Vibration sensor data for diagnosing mechanical faults in rotating machinery, covering healthy states vs. inner/outer race faults.
External
Industrial IoT
Jan 06, 2026
Power generation data from two solar power plants over a 34-day period, including inverter performance and weather sensor readings.
External
Industrial IoT
Jan 05, 2026
Synthetic dataset for predictive maintenance analysis, featuring 10,000 data points with air temperature, process temperature, rotational speed, torque, and tool wear metrics.
External
Industrial IoT
Jan 05, 2026
Vibration and acoustic sensor data from manufacturing robotic arms, labeled for failure prediction and fault diagnosis.