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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,040 datasets
A collection of images related to factory smoke emissions, hosted on Kaggle. The dataset likely contains visual data for analysis of industrial pollution or operational safety. Specific details on collection date, size, and author are unavailable.
The molecular structure and vibrational spectra of 2-thiophene carboxylic acid (TCA) are calculated using B3LYP density functional theory with a 6-31G** basis set. Experimental solid-phase FTIR and FT-Raman spectra were recorded in the ranges 4000-400 cm⁻¹ and 3500-50 cm⁻¹, respectively. The study, authored by J. Daisy Magdaline, includes normal coordinate analysis, NBO analysis, and HOMO-LUMO energy calculations.
A text-based academic work by Eugène Borel discussing the state of legal remedies against arbitration decisions as of 1935. The author critiques the contemporary legal framework and argues for its reform. The dataset appears to be a digitized version of this legal commentary sourced from the paperswithcode platform.
Educational material on flow-induced vibration authored by David S. Weaver. The content is sourced from AccessScience, an authoritative online resource for scientific knowledge. The dataset's specific size, format, and update date are not provided.
A defect detection test dataset published on the Hugging Face platform by author Paulescu. The dataset was last updated on April 4, 2026. Its specific content, scale, and structure require verification after download.
A dataset titled 'Defect Detection Test' published on the Hugging Face platform by author Paulescu. The dataset was last updated on April 4, 2026. Its specific content, scale, and column structure are not detailed in the available metadata.
Llamafactory-finetune-data is a dataset published on Kaggle. The dataset likely contains text data for fine-tuning large language models. Its specific contents, size, and origin require verification after download.
This dataset supports a study analyzing how natural disasters impacting supply chain trade influence donor country aid allocation. It includes a quantitative analysis and comparative case study of Japan's responses to disasters in Thailand and Vietnam. The author is Masafumi Fujita from the Foreign Policy Analysis Dataverse.
Remaining Useful Life (RUL) data likely contains time-series sensor readings from machinery. Published on Kaggle, the dataset is intended for modeling equipment degradation and failure. Columns suggest it could include operational cycles, sensor measurements, and target RUL values.
An open dataset from OpenML contains information on various car models and their factory parameters. The feature set includes model, make, vehicle type, engine size, transmission, and fuel consumption, with carbon dioxide emissions as the target variable. The dataset is published under a CC0 1.0 license.
The Brazilian Longitudinal Study for Adult Health (ELSA-Brasil) is a multicenter cohort study investigating risk factors for type 2 diabetes and cardiovascular diseases. Ligia G Fedeli authored a paper detailing the strategies for collection, processing, transportation, and quality control of blood and urine tests within this study. The central laboratory at the Universidade de São Paulo Hospital performed approximately 375,000 tests.
Free vibration measurements from the CityU footbridge and corresponding synthetic datasets support research into uncertainty laws for structural modal identification. Developed by Feng-Liang Zhang and updated in March 2026, the data facilitates the study of ambient-to-noise and free-to-ambient ratios in engineering contexts.
TDP38 hg19 assembly is a genomic dataset hosted on Kaggle. The title suggests it likely contains reference genome data based on the HG19 human genome assembly. Metadata is minimal; actual content requires verification after download.
Kaggle hosts a synthetic dataset for industrial real estate and logistics decision telemetry. The dataset's author, organization, and specific size are unknown. The last update date is also unknown.
Kaggle dataset focused on supply chain operations for cross-border e-commerce. The description suggests it supports demand forecasting, inventory optimization, and logistics decisions. Author, organization, and specific data details are unknown.
A synthetic dataset of video frame images depicting logistics operations within an automotive factory. The dataset was sourced from Kaggle, but the author, organization, and creation date are unknown. The exact number of images, file formats, and licensing details are not provided in the available metadata.
Kaggle hosts this dataset focused on supply chain analysis. The dataset's title suggests it contains information for evaluating multiple targets or objectives within a logistics network. Specific details on its origin, size, and creation date are not provided in the available metadata.
A pre-processed dataset for training models to detect faults in the inverters of electric vehicle Permanent Magnet Synchronous Motors (PMSM). The data is structured for classification tasks across nine distinct fault classes. The dataset originates from Kaggle, but specific author, organization, and temporal details are not provided.
Logistics data published on the Kaggle platform. The dataset's specific content, scale, and origin are not detailed in the provided metadata. Users must download and inspect the files to verify the actual data contained within.
Apple Supplier List is a cleaned and structured dataset of global suppliers. The dataset was sourced from Kaggle, but the original author, organization, and specific creation date are unknown. The description indicates the data has been processed for usability, but details on its size, columns, and exact source are not provided.