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Predictive maintenance, quality control, supply chain, industrial sensors, factory automation
1,041 datasets
Physical trajectory profile data from the Slocum glider 'ce_384' deployed in the Northeast Pacific Ocean off the coasts of Oregon and Washington. The dataset contains raw, unprocessed measurements of oceanographic properties like temperature and salinity, collected by the Ocean Observatories Initiative (OOI) Endurance Array. Data was preserved by the National Centers for Environmental Information (NCEI) after aggregation by the IOOS National Glider Data Assembly Center.
A dataset supporting the preparation and validation of in-house quality control material for stable isotope analysis in ecology. It details a method involving 150 vials of air-dried soil and includes results from homogeneity tests for δ13C and δ15N isotopes. The data was authored by David J. Hawke and published in 2020.
Data from a controlled experiment on bacterivorous ciliated protist communities in laboratory microcosms. The study, authored by Miriam N. Ojima and published in 2020, investigates the interactive effects of assembly history, disturbance frequency, and dispersal on alpha and beta diversity. It provides empirical measurements of priority effects and community divergence under different ecological contexts.
A collection of experimental measurements of tympanal vibrations in the field cricket Gryllus bimaculatus, investigating frequency tuning and directional sensitivity. The study critically tests the hypothesis that internal acoustic transmissions tune directional sensitivity to the calling song frequency of about 4.7 kHz. Data were collected using a Laser-Doppler Vibrometer to measure vibrations as a function of sound direction and frequency.
2020 data from a study on Cataglyphis fortis desert ant navigation examines how ants weigh olfactory cues against path integration information during homing and foraging. The dataset, authored by Cornelia Buehlmann, contains behavioral observations related to path integration, odour plume response, and foraging strategies. Specific row and column counts are not provided in the input.
A collection of experimental data from mutant mice investigating how brain-derived Sonic Hedgehog (SHH) and olfactory epithelium signals control the morphogenesis of the cartilaginous nasal capsule. The research reveals these neural signals shape the nasal capsule, which subsequently influences the development of surrounding membranous facial bones. The data was authored by Marketa Kaucka and was last updated in June 2020.
Data supports an analysis of environmental filtering on local community assembly within Caribbean Anolis lizard adaptive radiations. It includes constructed maps for the probability of Anolis ecomorph presence and derived estimates of ecomorph community completeness (ECC) across the Greater Antilles. The dataset was authored by Katharina C. Wollenberg and published in June 2020.
Experimental data investigates the self-assembly behaviors of a peptide-drug conjugate (Ket-L-VEVE). The study analyzes the influence of molecular design, assembly time, pH, and hydrogen bond inhibitors on aggregate morphology, which ranged from micelles to nanoribbons. The work, authored by Qin Fan and published in 2020, proposes a mechanism involving π-π stacking and hydrogen bonding.
A process-based forest gap model generated data to explore environmental and biotic assembly processes on tree communities. The simulation experiment covered 11 sites across central Europe, testing for trait divergence or convergence resulting from competition. The dataset supports analysis of how site fertility and competition for light influence functional trait composition.
Aggregating experimental data from a study on proprioceptive interaction between the arms during a single-arm pointing task. The study involved three experiments examining how vibration-induced illusions in one arm are affected by the posture and vibration of the contralateral arm. The data was authored by Kazuyoshi Kigawa and last updated in June 2020.
Comprising behavioral measurements from a high-throughput assay studying olfactory navigation in walking Drosophila melanogaster. It quantifies two distinct odor-evoked behaviors: an upwind run during odor (ON response) and a local search at odor offset (OFF response). The data was used to develop a navigation model that recapitulates fly behavior in response to dynamic odor stimuli.
Data from an optogenetic study explores the behavioral relevance of timing in the olfactory system. Mice were trained to discriminate virtual odors differing by as little as 13 ms, based on sniff-triggered, dynamic stimulation of mitral/tufted cells. The dataset supports analysis of high transient information transmission rates in olfaction.
MatLab files provide a toolbox for secondary quality control on ocean chemistry and hydrographic data using crossover analysis. The toolbox was developed by NOAA_NCEI and last updated in March 2020. It is intended for sea-going scientists to assess measurement bias during expeditions or for post-cruise data adjustment.
Physical trajectory profile data from the glider Sverdrup was collected in the Gulf of Mexico from 2019-09-26 to 2020-01-05. The National Centers for Environmental Information (NCEI) received the data from the Integrated Ocean Observing System's National Glider Data Assembly Center (IOOS NGDAC). The archival package contains measurements of properties such as temperature, salinity, conductivity, and density.
Featuring signals for bearing fault diagnosis, analyzed using a 1D Convolutional Neural Network (CNN). It was created by author raady07 and last updated in November 2019. The specific row count, column structure, and data size are unknown.
A risk prevention plan study for the Artenay area documents property and population exposure to hazards. The dataset likely contains a snapshot of land cover and vulnerability assessments used for planning. Data was compiled by the Bureau de Recherches Géologiques et Minières and represents a non-exhaustive picture as of the plan's development.
2019 data records aerosol particle concentrations that can form cloud droplets, measured at King Sejong Station in Antarctica. The dataset was collected by the Korea Polar Research Institute (KOPRI) using a Cloud Condensation Nuclei Counter (CCNC). Monitoring concluded in August 2019.
A dated snapshot of people, property, and environmental elements considered vulnerable to hazards for a specific industrial site. The data was compiled by the Bureau de Recherches Géologiques et Minières for a Risk Prevention Plan study near Marquion, Pas-de-Calais. This photograph of exposed assets is not updated after the plan's approval and is recalculated as needed with newer sources.
Cloud condensation nuclei (CCN) concentration data were collected at King Sejong Station in Antarctica during 2018. The dataset contains aerosol CCN measurements from a dedicated CCN counter. It was produced by the AMD_KOPRI organization and last updated at the end of the collection year.