Literature DB >> 35039098

PARROT: A Pilot Study on the Open Access Provision of Particle-Discrete Tomographic Datasets.

Ralf Ditscherlein1, Orkun Furat2, Erik Löwer1, Raik Mehnert3, Robin Trunk4, Thomas Leißner1, Mathias J Krause4, Volker Schmidt2, Urs A Peuker1.   

Abstract

In the present paper, as part of an interdisciplinary research project (Priority Programme SPP2045), we propose a possible way to design an open access archive for particle-discrete tomographic datasets: the PARROT database (https://parrot.tu-freiberg.de). This archive is the result of a pilot study in the field of particle technology and three use cases are presented for illustrative purposes. Instead of providing a detailed instruction manual, we focus on the methodologies of such an archive. The presented use cases stem from our working group and are intended to demonstrate the advantage of using such an archive with concise and consistent data for potential and ongoing studies. Data and metadata merely serve as examples and need to be adapted for disciplines not concerned here. Since all datasets within the PARROT database and its source code are freely accessible, this study represents a starting point for similar projects.

Entities:  

Keywords:  X-ray tomography; cake filtration; copula-based modeling; fluid flow simulation; multidimensional particle characteristics; particle database; statistical image analysis

Year:  2022        PMID: 35039098     DOI: 10.1017/S143192762101391X

Source DB:  PubMed          Journal:  Microsc Microanal        ISSN: 1431-9276            Impact factor:   4.127


  1 in total

1.  A Dataset of 3D Structural and Simulated Transport Properties of Complex Porous Media.

Authors:  Javier E Santos; Bernard Chang; Alex Gigliotti; Ying Yin; Wenhui Song; Maša Prodanović; Qinjun Kang; Nicholas Lubbers; Hari Viswanathan
Journal:  Sci Data       Date:  2022-10-03       Impact factor: 8.501

  1 in total

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