Loading...
Loading...
Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,041 datasets
A curated list of manufacturing datasets categorized for machine learning research and industrial applications. This resource identifies publicly available data sources to facilitate development in predictive maintenance and production optimization.
Serving as for deep learning-based object detection of defects in steel pipe welds. It was created by author huangyebiaoke and last updated in December 2021.
BUREAU DE RECHERCHES GÉOLOGIQUES ET MINIÈRES assembled this dataset of hazard areas for Ariège's forest fire risk prevention plans (PPRIF). Hazard areas were digitized according to national COVADIS requirements and represent a graduated zoning based on the probability and intensity of fire hazards. The dataset was last updated on September 16, 2021.
Local Planning Plans (LDPs) and Land Use Plans (POS) for the Ariège department in France, digitized according to national CNIG requirements. The data batch, assembled by the Bureau de Recherches Géologiques et Minières, informs building rights and includes three data sets on restricted zones, surface requirements, and surfacial information. It represents a snapshot of municipal planning regulations as of May 12, 2021.
N_PRESCRIPTION_PCT_046 is a dataset published by the Bureau de Recherches Géologiques et Minières (BRGM) on the EU Open Data platform. The data was last updated on October 11, 2021. The title suggests it likely contains information related to prescription percentages or pharmaceutical data.
Cloud Condensation Nuclei Counter (CCNC) measurements of aerosol CCN concentration were collected at King Sejong Station. The dataset was produced by AMD_KOPRI and covers the period from November 2020 to August 2021.
Cloud Condensation Nuclei Counter (CCNC) data measures aerosol concentrations from King Sejong Station in 2016. The dataset was collected by AMD_KOPRI and last updated on the platform in August 2021. It provides a time-series record of aerosol particles that can form cloud droplets.
2015 measurements of Cloud Condensation Nuclei concentration were collected at King Sejong Station in Antarctica. The data was gathered using a Cloud Condensation Nuclei Counter (CCNC) to monitor aerosol particles. It was provided by the AMD_KOPRI organization and last updated in the platform in August 2021.
Cloud Condensation Nuclei Counter measurements monitor aerosol concentrations at King Sejong Station. The data was collected in 2013 by the AMD_KOPRI organization. It was last updated on the platform in August 2021.
Cloud Condensation Nuclei (CCN) concentration data was collected at King Sejong Station in Antarctica during 2012. The dataset contains measurements from a CCN counter instrument monitoring aerosol particles that act as cloud seeds. It was produced by the organization AMD_KOPRI and last updated on the platform in August 2021.
Aerosol CCN monitoring data was collected at King Sejong Station in 2011 using a Cloud Condensation Nuclei Counter. The dataset, provided by AMD_KOPRI, captures the concentration of particles that act as seeds for cloud droplets. It was last updated on the platform in August 2021.
Cloud condensation nuclei concentration data was collected at King Sejong Station in Antarctica during 2010. The dataset was produced by the AMD_KOPRI organization. It contains measurements from a Cloud Condensation Nuclei Counter instrument.
Global land cover types are provided at yearly intervals from 2001 to 2020. The dataset is derived from supervised classifications of MODIS Terra and Aqua satellite reflectance data, produced by LPCLOUD. It includes multiple classification schemes and layers for land cover properties and quality control.
US Consumer Product Safety Commission data tracks monthly progress of product recalls across supply chain levels. The reports detail recalled products at Manufacturer, Distributor, Retailer, and Consumer stages. Data is provided by recalling firms and updated monthly.
Daily visual surf observations for Oahu, Hawaii, spanning from 1968 to 2020. The dataset was compiled by Larry Goddard from 1968 to 1987 and later by Patrick Caldwell from 1987 to 2020, based on reports from lifeguards and surf networks. It records the upper end of the reported wave height range for the highest breakers along different coastlines.
Emission factors for US industries and commodities quantify greenhouse gas emissions per dollar spent across the supply chain. The dataset provides factors for years from 2010 to 2016 at two levels of sector aggregation. It includes data quality scores for reliability, temporal, geographical, and technological correlation.
Federal Item Identification Guide (FIIG) Index is a web-based search engine listing all available FIIGs. It allows searching by Name Code, Name, or the first three characters of an item. The data is maintained by the U.S. Department of Defense and was last updated in November 2020.
Department of Defense data supports identification of supply items within the Federal Catalog System. The dataset enables searches by Keyword, Federal Supply Class (FSC), Federal Item Identification Guide (FIIG), and Item Name Code (INC). It was last updated in November 2020.
Surface objects of the assembly of restricted areas from natural hazard prevention plans in Charente, France. The dataset is provided by the Bureau de Recherches Géologiques et Minières (BRGM) and was last updated on September 16, 2020. It classifies zones based on the French Environmental Code, distinguishing between areas exposed to risks and those where development could aggravate them.
Physical oceanographic data from the glider 'Stommel' deployed in the Gulf of Mexico from August 13 to 27, 2020. The dataset contains measurements of properties like temperature, salinity, conductivity, and density. It was collected by the Gulf of Mexico Coastal Ocean Observing System (GCOOS) and Texas A&M's Geochemical and Environmental Research Group, and archived by NOAA's National Centers for Environmental Information.