Jupyter Notebook for the Publication "A Framework for the Description of Multidimensional Particle Separation Processes"

Buchwald, Thomas

Jupyter Notebook for the Publication "A Framework for the Description of Multidimensional Particle Separation Processes"

Contributing person datacite.contributor.ProjectLeader	Buchwald, Thomas (orcid: 0000-0002-2953-0510)
Documentation of the data datacite.description.TechnicalInfo	Methods: Dynamic Image Analysis
Countries to which the data refer datacite.geolocation.iso3166	GERMANY
References to related material datacite.relatedItem.IsSupplementTo	Publication "A Framework for the Description of Multidimensional Particle Separation Processes", 2024, Powder Technology. https://doi.org/10.1016/j.powtec.2023.119165
Description of the data datacite.resourceType	The archive contains a Jupyter notebook, which creates diagrams and figures to derive the calculation of multidimensional degrees of separation. The prerequisite is a Python setup. Alternatively, the HTML resulting from the notebook can be viewed in a browser of choice, but not modified.
Type of the data datacite.resourceTypeGeneral	Dataset
Type of the data datacite.resourceTypeGeneral	Image
Type of the data datacite.resourceTypeGeneral	Model
Type of the data datacite.resourceTypeGeneral	Other
Total size of the dataset datacite.size	24327965
Author dc.contributor.author	Buchwald, Thomas
Upload date dc.date.accessioned	2023-10-27T06:40:59Z
Publication date dc.date.available	2023-10-27T06:40:59Z
Publication date dc.date.available	2026-06-12T12:42:46Z
Data of data creation dc.date.created	2023
Publication date dc.date.issued	2023-10-27
Abstract of the dataset dc.description.abstract	Jupyter Notebook that reproduces all used graphs from the raw data. The produced graphs are not the final figures in the publication - several editing steps were undertaken to include color bars, etc.
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/2695
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-251
dc.language dc.language	eng
Publisher dc.publisher	Technische Universität Bergakademie Freiberg
Licence dc.rights	Attribution 4.0 International
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	4
Title of the dataset dc.title	Jupyter Notebook for the Publication "A Framework for the Description of Multidimensional Particle Separation Processes"
dc.title.alternative dc.title.alternative	Jupyter Notebook and Resulting Graphs
Research instruments opara.descriptionInstrument	Microtrac PartAn 3D
Software opara.descriptionSoftware.ResourceProcessing	Python (Version 3.9)
Project abstract opara.project.description	This project is concerned with the description of multidimensional partition curves. When particle collectives are separated, seldom the separation into concentrate and refuse fractions only depends on a single particle characteristic. The aim of this research is to reveal how different separation apparatuses partition particle collectives according to multiple, often independent characteristics.
Project title opara.project.title	Multidimensional Partition Curves (MultiParC)

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Name:: OPARA.zip
Size:: 23.2 MB
Format:
Description:: zip-file that contains the Jupyter notebook and all necessary information to get it to run

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TU Bergakademie Freiberg Data Publications