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  • Real-time tracking of the spatial diffusion of airborne diseases, and especially COVID-19 is in the focal point of both recent academic studies and policymaking. Airborne pathogens are handed over by interpersonal encounters. Therefore, agent-based modelling provides a useful approach to grasp the complex and interrelated nature of spatiotemporal movement and the geographical spread of infectious diseases. Although technology development rendered it to be feasible to track the spatial spread of infected individuals, the spatial scale of data retrieval can cause challenging bottlenecks for academic analysis. Samples on community-scale, for instance, by crowdsourced data as well as the global level of international aircraft movements are addressed. However, regional-scale spread of airborne diseases conveyed by human mobility rarely comes into focus. By directing our efforts to the level of countrywide diffusion, we aim to disclose the spatial component of airborne pathogens’ infection carried over by interpersonal encounters. The mobile cell dataset we applied here is especially suitable to estimate the number of interpersonal encounters, that is enabled by co-locating the same space with an infected person within a definite timeframe. Consequently, we considered mobile phone data driven co-location as ‘locational chance’ of airborne pathogen spreading. The volume of spread, as we argue, is dependent on the interpersonal connections. According to the current results, the geographical spread of COVID-19 is dominantly carried over by latently infected individuals, who transmit the disease without showing any symptoms. We modelled the interpersonal encounters of a set of randomly chosen latent infected as an indicator of the further geographical spread of the disease. We applied two various sets of models running: one, that is based on real archive data, and the other, that simulates current mobility patterns ordered by relocation restrictions.
    Data Types:
    • Video
    • Tabular Data
    • Dataset
    • File Set
  • This dataset contains digital material accompanying the book chapter about machine learning-based AI in novel image data processing for hybrid cardiovascular imaging
    Data Types:
    • Software/Code
    • Video
    • Dataset
  • A video of catching a fallen tile
    Data Types:
    • Video
    • Dataset
  • A video of experiment of peg-in-hole
    Data Types:
    • Video
    • Dataset
  • Raw images from western blots, immunofluorescence microscopy and EM.
    Data Types:
    • Slides
    • Image
    • Video
    • Dataset
  • This repository includes a solidWorks (2019) CAD model of a research quality double pendulum. Additionally, we have provided video data with trackers recorded at 1000 FPS and Encoder data to validate the video data analysis.
    Data Types:
    • Software/Code
    • Image
    • Video
    • Dataset
    • Text
    • File Set
  • Movement data and scripts
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Dataset
  • Cavitation inside fuel injection nozzles affects the atomization process of injected liquids. It is necessary to understand and model the process for realizing an appropriate injection strategy for an efficient combustion. As the nature of the fuel injector, it has contraction, divergent and bending parts from small to large scale. These geometrical characteristics of the nozzle have an effect on the cavitation phenomena even if it is kind of a small manufacturing variation. However, a simultaneous contained database for the transient cavitation structure especially inside the real-scale nozzle and the nozzle geometry has not been established well. Therefore, parametric investigations have been done on our manufactured transparent nozzles. And the results will be shared step by step for the cavitation model evaluations and developments. In this database, the results in below on each nozzle are uploaded. 1. High speed imaging of the transient cavitation structure. 2. Nozzle geometry which modified as close as the measured shape. 3. Samples of mesh files and simulation results (PDF). The purpose of this database is to provide the data to someone who intends to understand and model the cavitation phenomena. This research work is financially supported by German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) within the project DI 591/29-1. First of all, please read "About_this_database.pdf".
    Data Types:
    • Other
    • Geospatial Data
    • Image
    • Dataset
    • Document
  • Experimental and numerical data of a AKW RWK-42L hydrocyclone. It includes granulometric and global efficiency, particle volume fraction, liquid ratio, and feed flow for several configurations of the equipment. It also includes a video from water-air transient simulation using Free Surface model to observe if the air-core is formed in this hydrocyclone. The video shows that an air-core is not formed, but a small amount of air is entrained from the overflow.
    Data Types:
    • Video
    • Tabular Data
    • Dataset
  • Smoke Test (HomeWiFI) 28May2020 natscilivecustomer (Dataset-1)
    Data Types:
    • Other
    • Software/Code
    • Image
    • Video
    • Tabular Data
    • Dataset
    • Document
    • Text
    • Audio