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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,039 datasets
A dataset titled 'EDGEIIOT' published on Kaggle. The dataset's content is inferred to relate to edge computing and the Industrial Internet of Things. Specific details regarding its size, creation date, and authorship are not provided in the available metadata.
DataCo Smart Supply Chain data is hosted on Kaggle and prepared for analysis in BigQuery. The dataset likely contains operational records from a supply chain network. Specific details on volume, origin, and recency are not provided in the available metadata.
A dataset from Kaggle describing transportation and logistics infrastructure in Pakistan. It includes information on cities, logistics hubs, and the China-Pakistan Economic Corridor (CPEC) trade routes. The author, organization, and temporal coverage are unknown.
Published on Kaggle. The dataset likely contains metrics related to supply chain and logistics operations. Its specific temporal coverage, size, and authorship are unknown from the provided metadata.
Site condition monitoring data for the intertidal sediment flats of Kentra Bay and Moss SSSI. The project established a baseline dataset in 2003 using 16 relocatable stations along 5 representative transects. The data was collected by the Government Digital Service.
Supplemental scientific data linked to a research article submitted to the Journal of Neurophysiology. The dataset contains original measurements related to differences in postural reactions between age groups. The data was authored by Louis-David Beaulieu and harvested from the Borealis Dataverse platform, with a last recorded update in April 2026.
A collection of benchmark results for steel defect detection models, focusing on performance metrics. It is a small dataset of 5.5 KB in XLS format, authored by Aping Ge and last updated in March 2026.
Instruction data for analyzing fleet risk and operations intelligence in the transportation and logistics sector. The dataset originates from Kaggle, but its author, organization, and last update date are unknown. Its specific size, row count, and file formats are also unspecified.
VMC_CNC_Predictive_Maintenance_Dataset is a dataset published on Kaggle. Its title suggests it contains data related to predictive maintenance for Vertical Machining Center (VMC) Computer Numerical Control (CNC) machines. The dataset's specific content, size, and origin are not detailed in the available metadata.
R code by Rita Grunberg, published on figshare in 2026, for analyzing pathogen community assembly in host populations. The code likely contains functions for statistical modeling to investigate associations with interannual variation in environmental conditions. Its specific application and data requirements must be verified after download.
Intertidal sediment infauna and epibiota species abundance data and associated habitat descriptors from a baseline survey of the Cree Estuary SSSI. The survey was conducted in 2012 by Scottish Natural Heritage to provide information for site condition assessment and establish a baseline for future monitoring. Data was collected in-situ, and similar methods were used for six other marine sediment SSSIs under the same contract.
Over 2000 site-years of sea level data assembled from approximately 160 tide gauge sites worldwide since 1991. The British Oceanographic Data Centre (BODC) acts as the World Ocean Circulation Experiment (WOCE) Data Assembly Center, responsible for quality control and dissemination. In addition to tidal height data, the dataset includes derived tidal harmonic constants, confidence limits, and power spectra.
Argentine Oceanographic Data Centre (CEADO) provides physical-chemical and nutrient data from national and foreign research cruises. The dataset includes measurements of wind, waves, water temperature, salinity, oxygen, phosphates, nitrites, nitrates, silicates, pH, and alkalinity. Data were collected using standard instruments like Nansen casts, water samplers, and STD/CTD systems.
56 pixels per satellite scan line provide geolocated measurements of Earth's thermal energy emission. The dataset contains pre-processed level 1 data from the FY-3A IRAS instrument, including raw digital counts, brightness temperatures, and calibration coefficients. It is produced by the SCIOPS organization from quality-controlled and navigated raw package data.
56 pixels per scan line provide calibrated brightness temperature data from 26 spectral channels for Earth observation. The dataset includes geographic coordinates, land-sea mask, surface elevation, and solar and satellite viewing angles. SCIOPS produced this Level 1 product from FY-3A IRAS raw data after quality control, navigation, and calibration.
56 pixels per scan line provide geolocated data from the FY-3A satellite's Infrared Atmospheric Sounder. The dataset contains raw digital counts, converted brightness temperature for 26 spectral channels, and associated geometric angles. It is a pre-processed Level 1 product from the SCIOPS organization.
Version 2 of this Earth Science Data Record provides calibrated, enhanced-resolution passive microwave brightness temperature data gridded onto three EASE-Grid 2.0 projections. It integrates measurements from five satellite radiometer instruments, including SMMR, SSM/I, SSMIS, AMSR-E, and AMSR2, with improvements in cross-sensor calibration and quality control over the previous version. The dataset is produced by the NSIDC_CPRD organization.
NASA Ames research investigates the effect of damage progression model choice on prognostics performance. The dataset likely contains simulation results comparing different damage models for a centrifugal pump case study. The work demonstrates the need for models accurate over long horizons under varied loading conditions.
A dataset concerning delivery logistics, sourced from the Kaggle platform. The specific contents, scale, and origin are not detailed in the available metadata. Users must download the dataset to verify its exact structure and suitability for their projects.
Logistics deliveries dataset is hosted on Kaggle. The dataset likely contains records related to delivery operations. Metadata is minimal; actual content requires verification after download.