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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,040 datasets
This dataset supports replication of a study on factory operating time, mechanization, and labor force composition in late Imperial Russia. It contains data for factory-level, district-level, and province-level analyses. The specific row count, column count, and file formats are not provided.
This replication package contains data and code for a study on operating time in Imperial Russian factories. It supports replication of factory-level, district-level, and province-level analyses from the associated paper.
This replication package contains data and code for a study on factory operating time, mechanization, and labor force composition in late Imperial Russia. It supports replication of factory-level, district-level, and province-level analyses from the associated academic paper. The dataset is authored by Amanda Gregg and was last updated in February 2026.
Kaggle hosts a dataset profiling 3,859 candidates who contested the Tamil Nadu Legislative Assembly elections in 2021. It includes information on criminal cases, educational qualifications, and declared assets for each candidate. The data provides a detailed snapshot of candidate backgrounds for a major Indian state election.
IIOT Dataset 2025 is a dataset from Kaggle focused on the Industrial Internet of Things. Its specific content, size, and authorship are unknown from the provided metadata. The dataset likely contains sensor or operational data relevant to manufacturing and industrial processes.
A dataset from Kaggle concerning the prediction of equipment failures. The specific source, time range, and data volume are not detailed in the provided metadata. Columns likely contain sensor readings, operational states, and failure labels to support modeling tasks.
LlamaFactory-m is a dataset published on Kaggle. The title suggests it relates to machine learning and factory processes. The dataset's specific content, size, and authorship are unknown.
Experiments on a milling machine measure insert wear (VB) under varying speeds, feeds, and depth of cut. The dataset was provided by the UC Berkeley BEST Lab and is hosted by NASA. Specific row and column counts are not provided in the input.
Acoustic and vibration data collected from a specific simulation rig designed to replicate water leaking conditions. The dataset's author, organization, and specific scale are not provided in the metadata. It was sourced from the Kaggle platform.
Supply chain analytics data likely contains operational metrics for logistics and procurement. Published on Kaggle, its specific content and scale require verification after download. The dataset's origin and creation details are currently unknown.
Logistics, freight, cargo, courier, and transportation companies across Pakistan. The dataset's specific size, creator, and update date are not documented. It was sourced from the Kaggle platform.
A directory lists logistics, freight, cargo, courier, and transportation companies across Pakistan. The dataset's total number of entries, specific columns, and creation details are not provided. The original author, organization, and last update date are unknown.
Over 1,400 medical records are analyzed for supply chain risk and revenue optimization. The dataset's creator, update frequency, and specific data fields are not documented.
Kaggle hosts a dataset of ball bearing vibration measurements. The data likely contains time-series signals for analyzing mechanical health. Metadata is minimal; specifics on collection method, scale, and source require verification after download.
Supplying replication files for a study on the impact of the 1896 Factory and Shops Act on the labor market in Victoria, Australia. The author is Andrew Seltzer. The specific data structure, including row and column counts, is not detailed in the input.
Replication files for a study on the impact of the 1896 Factory and Shops Act on the labor market in Victoria, Australia. The author is Andrew Seltzer. The specific data structure, including row and column counts, is not detailed in the input.
Delivery Dash is a dataset concerning food orders and delivery logistics. The dataset's size, specific row count, and creation date are unknown. Its author and originating organization are also not specified.
Infinite Signal is a dataset specifically prepared for Retrieval-Augmented Generation (RAG) systems. It contains high-density logistics information relevant to disaster response scenarios. The author and temporal details are unknown.
Google Maps dataset contains listings for logistics-related businesses operating in Burundi. The collection includes business ratings. The dataset was compiled by an unknown author from the Kaggle platform.
Synthetic data related to Computer Numerical Control (CNC) machining processes, comprising over 77,000 records. The dataset is hosted on Kaggle, but the author, creation method, and specific column details are not provided in the metadata. Its content and intended application must be verified after download.