4.5 Article

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

Journal

MICROSCOPY AND MICROANALYSIS
Volume 28, Issue 2, Pages 350-360

Publisher

CAMBRIDGE UNIV PRESS
DOI: 10.1017/S143192762101391X

Keywords

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

Funding

  1. German Research Foundation (DFG) [313858373, PE 1160/23-1, INST 267/129-1]

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This paper proposes a method for designing an open access archive for particle-discrete tomographic datasets, and introduces the PARROT database along with three illustrative use cases. The archive is a result of a pilot study in the field of particle technology and serves as a starting point for similar projects.
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.

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