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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
826 datasets
A collection of Arabic-language text data related to logistics complaints. The dataset is published on Kaggle, but its specific size, creation date, and author are unknown. Its content likely contains customer feedback or issue reports within supply chain or delivery contexts.
IoT-driven industrial system records likely contain sensor and operational data from manufacturing processes. The dataset is hosted on Kaggle, but its specific temporal coverage, size, and authorship are unknown. Columns and sample data are unavailable, limiting immediate assessment of its content.
A dataset titled 'Fake Dataset for Arabic Logistics Complaint' is hosted on Kaggle. The title suggests it contains text data related to customer complaints within the logistics sector, written in Arabic. No further metadata about its size, origin, or creation date is available.
Supply Chain Risk Research is a dataset hosted on Kaggle. The dataset's specific content, size, and origin are not detailed in the provided metadata. Its title suggests it contains information related to risk factors within supply chain networks.
A dataset titled 'Dashboard on Supply chain performance' published on Kaggle. The dataset likely contains metrics and key performance indicators used to monitor supply chain operations. Specific details regarding its contents, size, and origin are unavailable from the provided metadata.
NASA C-MAPSS data simulates aircraft engine degradation for predictive maintenance research. The dataset is hosted on Kaggle, but specific details like row count, file formats, and license are not provided in the input. The original data source is NASA's Commercial Modular Aero-Propulsion System Simulation.
NorthStar Distribution is a dataset from Kaggle focusing on the fast-moving consumer goods supply chain. The dataset's specific contents, such as columns, size, and origin, are not detailed in the available metadata. Users must download the dataset to verify its structure and suitability for their projects.
A dataset for defect detection, likely containing images for identifying flaws in products or materials. It was published on huggingface by author Paulescu and was last updated on 2026-04-04. The specific content, scale, and source of the images require verification after download.
MM 2018/W36: Nike Factory Locations is a dataset published on Kaggle. The title suggests it contains geographic information about Nike manufacturing facilities. The dataset's specific content, size, and origin are not detailed in the provided metadata.
UK salt marsh sediment cores from Tillingham and Warton Sands provide major cation concentration data for sodium adsorption ratio (SAR) calculation. The dataset includes quality control metrics for ICP analysis, with samples collected at varying depths and in triplicate. Row count and column specifics are unknown.
MaNIduck-101 is a real-world simulation dataset for robotic manipulation, focusing on complex human-object interaction and fine-grained motion modeling. It systematically covers manipulation types like grasping, pushing, pulling, rotating, assembly, and tool use through high-fidelity physical simulation. The dataset was created by author bh2821 and was last updated on the Hugging Face platform in February 2026.
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.