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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
828 datasets
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.
Daily visual surf observations for Oahu, Hawaii, spanning from 1968 to 2020. The dataset was compiled by Larry Goddard from 1968 to 1987 and later by Patrick Caldwell from 1987 to 2020, based on reports from lifeguards and surf networks. It records the upper end of the reported wave height range for the highest breakers along different coastlines.
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.
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.
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.
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.
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.
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.
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.
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.
AUSRIVAS (Australian River Assessment System) data from 13 monitoring locations in the Australian Capital Territory, maintained by the ACT Government. The dataset contains O/E taxa scores, which compare observed to expected macroinvertebrate fauna to assess biological condition, recorded biannually in spring and autumn. The data was last updated on the platform on 2023-07-28.
Global land cover types are provided at yearly intervals from 2001 to 2020. The dataset is derived from supervised classifications of MODIS Terra and Aqua satellite reflectance data, produced by LPCLOUD. It includes multiple classification schemes and layers for land cover properties and quality control.
MODIS/Terra MOD11A1 V6 provides daily land surface temperature and emissivity values at a 1-kilometer spatial resolution in a 1200x1200 km grid. The dataset includes daytime and nighttime surface temperature bands, quality assessments, observation times, view angles, and clear-sky coverage. Production by NASA's LPCLOUD was discontinued on November 16, 2022, and the product was fully decommissioned on July 31, 2023.