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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
826 datasets
Predictor Soft v1.0 is a dataset hosted on Kaggle, likely related to x86-64 assembly language. The specific content, such as code snippets, performance metrics, or predictive features, is not detailed in the available metadata. Its author, organization, and scale are unknown.
Jennifer Gordon's paper presents case studies on reshaping recruitment services in global labour supply chains. The work draws on regulatory efforts in the Philippines, the Netherlands, the United Kingdom, and Canadian provinces, as well as agreements negotiated by U.S. agricultural workers' organizations. It proposes approaches to promote fair recruitment practices based on these public and private sector examples.
The MOSAiC expedition collected balloon-borne radiosonde profiles from the R/V Polarstern in the Arctic. The Level 2 dataset contains measurements of temperature, pressure, relative humidity, and wind up to approximately 30 km altitude, typically four times daily. Author Marion Maturilli processed the data with quality control for physical ranges, noting it as a usable product before final processing.
Images of agricultural products for quality control purposes, sourced from Kaggle. The dataset likely contains visual data intended for computer vision tasks in agricultural inspection. Specific details on the number of images, collection dates, and originating organization are not provided in the metadata.
This dataset maps supply chain contagion risks across NAICS industries from 2022 to 2026, enabling topology analysis of economic vulnerabilities. It supports research on industrial interdependencies and shock propagation.
A dataset of sensor readings from an ESP32 microcontroller, likely containing vibration and current measurements. The dataset is hosted on Kaggle, but its specific size, collection period, and author are unknown. Columns suggest it may include time-series data from embedded sensors.
NWFSC Observer programs provide fishery-dependent data for total mortality estimation, protected species monitoring, and discard data for stock assessments on the U.S. West Coast. The data is used to track in-season quotas for catch share fisheries and to manage federally and state-managed fisheries. It is produced by the National Oceanic and Atmospheric Administration's Northwest Fisheries Science Center.
Multi-Objective CLSC Network Analysis Data published on Kaggle. The dataset likely contains information for modeling and analyzing supply chain networks that incorporate reverse logistics. Its specific variables and scale must be verified after download.
Richard G. Jones of Schlumberger (Ireland) compiled this document to define terminology related to aggregation and self-assembly. It contains more than 150 terms focused on macromolecules, covering concepts from supramolecular chemistry and nanotechnology. The list is restricted to the most commonly encountered terms.
Smart home IoT sensor data for ML and analytics, published on Kaggle. The dataset likely contains readings from various sensors within a smart home environment. Its specific scale, collection method, and temporal coverage are unknown from the provided metadata.
Vibrations data published on HuggingFace by eturok-weizmann. The dataset was last updated on April 12, 2026. Its specific content, size, and format are unknown.
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.
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.
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.
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.