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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,040 datasets
Tabular data for logistics and demand efficiency in cross-border e-commerce. The dataset is tagged for large-scale analysis, supply chain operations, and demand forecasting.
Flipkart Logistics Data is a dataset hosted on Kaggle, explicitly intended for academic purposes. The dataset likely contains operational information related to the e-commerce platform's supply chain and delivery network. Specific details on columns, size, and provenance are not provided in the available metadata.
Live IoT sensor data on urban noise levels, published on Kaggle. The dataset likely contains time-series measurements of acoustic levels from sensors deployed in city environments. The author, organization, and specific temporal or geographic coverage are unknown.
A-RoF MIMO Fault Detection Dataset is a synthetic dataset for binary classification tasks, published on Kaggle. The dataset likely contains features for detecting faults in Analog Radio-over-Fiber (A-RoF) Multiple-Input Multiple-Output (MIMO) communication systems. Its specific size, columns, and creation details are not provided in the available metadata.
A dataset from Kaggle for research in industrial process monitoring. The description suggests it contains dynamic, multivariate control signals for real-time fault detection and predictive maintenance applications. The author, organization, and specific temporal coverage are unknown.
A 2025 dataset from the Canadian Institute for Cybersecurity (CIC) focused on Industrial Internet of Things (IIoT) environments. It likely contains network traffic data for analyzing security threats in industrial control systems. The dataset is hosted on Kaggle, but specific details on size, features, and collection methodology are not provided in the metadata.
Research data on engineered polypeptide linkers for the scalable self-assembly of cellulose. The dataset originates from a Kaggle platform tagged for research purposes. Specific details on volume, authorship, and timeliness are not provided in the input.
Kaggle hosts a dataset titled 'CIC IIoT 2025 - Datasense (CSV Mirror)'. The title suggests it contains network traffic data related to the Industrial Internet of Things, likely for cybersecurity research. The dataset's specific content, size, and origin require verification after download.
CIC-IIoT-2025 likely contains data related to Industrial Internet of Things environments. The dataset is published on Kaggle, but its specific content, size, and authorship are unknown. Its title suggests a focus on industrial systems and cybersecurity.
Automotive supply chain simulation big data published on Kaggle. The dataset likely contains operational and logistical variables for modeling complex manufacturing networks. Its specific content, scale, and origin require verification after download.
1,176,226 labeled network traffic records across 15 categories including normal behavior and 14 specific attack types. The data captures telemetry and network flows from 10 distinct IoT and IIoT devices, including Modbus sensors, DHT11 sensors, and ultrasonic sensors, integrated into a real-world testbed.
Four categories of ecommerce data—Orders, Products, Customers, and Supply Chain—structure this dataset. The records link customer purchase events with backend logistics and fulfillment information.
Last-mile logistics and delivery performance metrics for Amazon's distribution network. These data points enable the evaluation of final-stage transport efficiency and operational timing.
7,348 images of casting products categorized into defective and non-defective classes. The data enables automated visual inspection of submersible pump impellers within industrial manufacturing environments.
161 vibration signal files recorded from motor bearings under four load conditions ranging from 0 to 3 horsepower. The data includes time-series accelerometer readings for normal bearings and those with seeded faults in the inner race, outer race, and ball components.
The NASA CMAPSS Turbofan Engine RUL Dataset provides multivariate time-series sensor data generated from a high-fidelity simulation. It is designed to support research in predictive maintenance, specifically for estimating the Remaining Useful Life (RUL) of aircraft engines as they degrade over time.
Physical and electromagnetic parameters for antenna performance monitoring and fault detection are provided in this Kaggle dataset. The repository supports multiple classification tasks including binary, multiclass, text, and image-based analysis, though specific record counts and authorship are undocumented.
Deep Agentic Supply Chain Data is a dataset hosted on Kaggle. The dataset's title suggests it relates to supply chain operations and may involve agent-based modeling or AI agents. Specific details on its contents, size, origin, and creation date are not provided in the available metadata.
Fresh Fruit Inventory & Supply Chain Dataset is a dataset published on Kaggle. Its title suggests it contains information related to stock levels and logistics for perishable goods. The dataset's specific contents, scale, and origin require verification after download.
A collection of datasets for detecting anomalies in Internet of Things sensor data. The datasets are hosted on the Kaggle platform. Specific details on data volume, origin, and update history are not provided in the available metadata.