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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,040 datasets
Kaggle hosts a dataset titled 'Onion supply chain'. The dataset's author, organization, and temporal coverage are unknown. Its content likely pertains to the movement and management of onions from production to market.
2026 Tamil Nadu Assembly Election Complete Dataset provides constituency-level results, alliances, and election metadata. The dataset likely contains detailed records for each electoral constituency in the state. It was sourced from Kaggle, but the author, organization, and specific update date are unknown.
25 years of data on global supply chain and trade disruptions. The dataset likely contains indicators such as the Baltic Dry Index (BDI), container shipping rates, port congestion metrics, and records of major events like COVID-19, the Suez Canal blockage, Red Sea incidents, and tariff changes. It was sourced from Kaggle.
A 5,000-hour sample of telemetry data from a defense logistics and supply chain context. The description notes the sample has verified 0.0 math drift and includes route severances. The dataset's author, organization, and specific collection details are unknown.
LiftVibrations is a dataset hosted on Kaggle. The title suggests it contains vibration measurements, likely from sensors on an elevator or lifting apparatus. The dataset's author, organization, and specific details are unknown.
WUSTL-IIoT-Corrected is a dataset published on Kaggle. The title suggests it contains data from Industrial Internet of Things (IIoT) systems, likely for tasks such as monitoring or fault detection. The dataset's specific content, size, and collection details are not provided in the available metadata.
A dataset for predictive maintenance tasks, sourced from the Kaggle platform. The specific content, size, and features require verification after download as metadata is minimal.
Predictive maintenance data published on Kaggle. The dataset likely contains sensor readings and operational parameters from industrial machinery. Its specific scale, origin, and time range are unconfirmed from the provided metadata.
Amazon logistics data published on Kaggle. The dataset likely contains operational information related to Amazon's delivery network. Specific details on size, columns, and creation date are not provided in the metadata.
Defect Detection is a dataset published on Kaggle. Its specific content, size, and origin are not detailed in the provided metadata. The dataset likely contains images or sensor data for identifying flaws in industrial products.
Macroeconomic and trade data likely covers topics such as trade sanctions, energy grids, and semiconductor flows. The dataset spans the years 2015 to 2026, providing a multi-year perspective on these interconnected themes. It was sourced from Kaggle, but the original author and specific compilation method are unknown.
Constituency-wise candidate results for the Kerala Assembly Election in 2026. The dataset is hosted on Kaggle, but the author, organization, and specific data volume are unknown. The last update date and license information are also not provided.
Candidate-level results for the 2026 Tamil Nadu Legislative Assembly election, aggregated by constituency. The dataset is hosted on Kaggle and appears to focus on electoral outcomes. The author, organization, and specific collection details are not provided.
An inventory dataset sourced from Kaggle, likely containing records relevant to manufacturing, sales, logistics, and supply chain industries. The author, organization, and specific temporal coverage are unknown.
Synthetic Green Supply Chain Carbon Pricing Data is a spatiotemporal dataset covering supply chain emissions across three global regions. The data spans the years 2018 to 2023. The author, organization, and specific collection method are not provided.
500,000 synthetic network flows generated for Industrial Internet of Things and SCADA systems. The data is intended for anomaly detection and protocol classification tasks. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown.
Supply chain logistics data has been enriched with historical climate variables. The dataset was sourced from Kaggle and integrates climate data from Open-. The last update date and specific data volume are unknown.
Public consultation documents related to the Former Biscuit Factory, published by the Greater London Authority on the uk_data platform. The dataset was last updated on 2026-03-25. The content likely contains textual reports, feedback, and planning materials associated with the public consultation process.
Dataset_DocNCL is a text dataset published on Kaggle. The title suggests it is intended for document classification tasks. The dataset's specific content, size, and origin are not detailed in the available metadata.
Global supply chain risk events are summarized by AI and mapped for chokepoint exposure. The dataset originates from Kaggle, but its author, organization, and specific temporal coverage are unknown. Its size, row count, and file formats are also unspecified.