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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,040 datasets
Edge-IIoTset is a cybersecurity dataset capturing network traffic from an Industrial Internet of Things testbed. The dataset is designed for machine learning research on attack detection and network behavior analysis. It was created by researchers and published on the OpenML platform.
Edge-IIoTset contains network traffic data from an Industrial Internet of Things testbed. The dataset is designed for cybersecurity research, specifically for detecting and classifying cyber attacks in industrial control systems. It originates from the OpenML platform with contributions focused on IoT security.
A collection of G-code samples for Fanuc Computer Numerical Control (CNC) systems, published on Kaggle. The dataset's size, origin, and specific temporal coverage are not detailed in the provided metadata. Its content likely contains machine instructions used in industrial manufacturing processes.
Over 10,000 trade records detail commodity flows and logistics between China and Africa. The data includes transport modes and cost analysis for logistics performance. It was sourced from Kaggle, but the author, organization, and specific time range are not provided.
A dataset hosted on Kaggle for detecting defects in electrical transmission infrastructure. The dataset likely contains images of towers and wires, but specific details on volume, source, and creation date are unavailable from the provided metadata.
A dataset of maintenance records for logistics vehicles, published on Kaggle. The dataset's columns likely contain information about vehicle components, failure events, and repair actions. Specific details on the number of records, time period, and data collection method are not provided in the available metadata.
A dataset related to predictive maintenance, likely containing sensor readings and failure indicators for industrial machinery. It is hosted on Kaggle, a platform for data science competitions and projects. The specific source, size, and creation details are not provided in the available metadata.
Edge_IIoTSet is a dataset hosted on Kaggle, as indicated by its platform tags. The dataset's title and platform tags suggest it contains data related to Industrial Internet of Things (IIoT) and edge computing, likely for manufacturing contexts. Specific details on its size, columns, and creation are not provided in the available metadata.
Post Offices including names and addresses, provided by the Calderdale Metropolitan Borough Council. The dataset was last updated in March 2026.
2024 Annual Report from the U.S. Department of Transportation contains performance data for maritime supply chains. The dataset includes tags related to vessel, port, terminal, and container operations, such as dwell times and trade statistics. It was last updated in February 2026.
Northwestern University Auditory Test No. 6 is an expanded speech discrimination test developed by Tom W. Tillman. It likely contains data on the performance of listeners using CNC monosyllabic words. The dataset is published on the paperswithcode platform.
1,386 images of Printed Circuit Boards (PCBs) categorized into 6 distinct defect classes. The dataset provides visual examples for identifying manufacturing flaws in electronic components.
A dataset for simulating multi-stage systemic risk within industrial supply networks. It is tagged for applications in risk management and features tabular and time-series data structures.
Data collected using a vibration sensor and an STM32 Blue Pill microcontroller. The dataset is hosted on Kaggle and is associated with platform tags for SVM, classification, and neural networks. The author, organization, and specific collection details are not provided.
Logistics_dataset_2020_2024 is a dataset published on Kaggle. The title suggests it contains information related to logistics operations over a five-year period. Specific details on columns, size, and origin are not provided in the available metadata.
Kaggle hosts a dataset detailing host cities and stadium capacities for the FIFA 2026 World Cup. The description mentions simulated matches, suggesting the data includes logistical or planning scenarios. The original author and specific data dimensions are unknown.
Global E-Commerce Sales Analysis is a dataset from Kaggle. Its description indicates it is used for identifying high-growth segments and logistics bottlenecks in global retail. The dataset's author, organization, size, and last update date are unknown.
Lattice-physics data contains neutronics simulation results for Pressurized Water Reactor fuel assemblies. The dataset is hosted on the UCI Machine Learning Repository and is categorized under reactor design and nuclear physics. Specific details on the number of rows, columns, and creation date are not provided in the input.
Bosch provided this dataset on Computer Numerical Control machining processes. The dataset originates from the UCI Machine Learning Repository. Specific details on the number of records, features, and collection period are not provided in the available metadata.
UCI Machine Learning Repository hosts a dataset for condition monitoring of hydraulic systems. It contains sensor measurements from a test rig simulating cooling, lubrication, and valve conditions. The data supports research into predictive maintenance and fault diagnosis.