Contributing person datacite.contributor.ProjectMember	René Brands
Contributing person datacite.contributor.ProjectMember	Jens Bartsch
Contributing person datacite.contributor.Supervisor	Urs Alexander Peuker
Contributing person datacite.contributor.Supervisor	Volker Schmidt
Contributing person datacite.contributor.Supervisor	Markus Thommes
Documentation of the data datacite.description.TechnicalInfo	Micro-CT image data and segmented image data in tiff format can be easily opened and further processed with different software tools, for example, with the free image processing software of Fiji (ImageJ) or ilastik. Furthermore, the image data can be processed using numerical computing programs and their toolboxes like Matlab or various libraries (e.g. Scikit-Image, OpenCV) of the programming language Python.
References to related material datacite.relatedItem.IsSupplementTo	Journal article with title "Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets"
Description of the data datacite.resourceType	1 micro-CT data set (16-bit raw tiff image stack after stitch scanning and reconstruction); 1 segmented (binary) data set of only active ingredient (16-bit tiff image stack after segmentation using 3D U-Net; downscaled); CT measurement and reconstruction parameters
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	8221139795
Author dc.contributor.author	Seyffer, Judith Miriam
Author dc.contributor.author	Fuchs, Lukas
Upload date dc.date.accessioned	2025-03-20T12:00:14Z
Publication date dc.date.available	2025-03-20T12:00:14Z
Data of data creation dc.date.created	2024-08
Publication date dc.date.issued	2025-03-20
Abstract of the dataset dc.description.abstract	The data set comprises the micro-CT data for the publication Brands et al. (2025). In a joint work within the 1st funding period of the SPP2364, the three-dimensional distribution of the active ingredient in pharmaceutical tablets is investigated using a segmented CT image data set of a tablet. The data published here contains the raw, reconstructed micro-CT image data after acquisition using the Zeiss Xradia Versa 510. Imaging was performed by stitching five individual, overlapping region of interest scans over the full width of the tablet. Additionally, the data set of the segmented active ingredient particles is included in a downscaled version. Further information can be found in the corresponding publication "Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets".
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de/handle/123456789/1381
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-797
Publisher dc.publisher	Technische Universität Bergakademie Freiberg
Licence dc.rights	Attribution 4.0 International	en
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
Specification of the discipline(s) dc.subject.classification	4::41::402::402-01
Specification of the discipline(s) dc.subject.classification	4::44::407::407-02
Specification of the discipline(s) dc.subject.classification	4::43::405::405-06
Specification of the discipline(s) dc.subject.classification	2::22::205::205-09
Title of the dataset dc.title	Research data for: "Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets"
Research instruments opara.descriptionInstrument	X-ray microscope Zeiss Xradia Versa 510 (Carl Zeiss Microscopy GmbH, Oberkochen, Germany)
Underlying research object opara.descriptionObject.PhysicalObject	Pharamceutical tablet
Software opara.descriptionSoftware.ResourceProcessing	Zeiss Reconstructor
Software opara.descriptionSoftware.ResourceProduction	Zeiss Scout-and-Scan
Project abstract opara.project.description	The priority program 2364 funded by the German Research Foundation (DFG) investigates and tests methods for autonomous process control in particle technology. It integrates material and data flows with measurement technology, process dynamics, and control to create a closed-loop autonomous process. Initially, it focuses on controlling single unit operations before expanding to entire process chains. The program develops scientific tools—methods, algorithms, and models—for reliable process control and process transformation. It investigates multiphase processes involving solids and fluid particles across synthesis, handling, and formulation operations.
Public project website(s) opara.project.publicReference	https://www.mvm.kit.edu/SPP2364_APP.php
Public project website(s) opara.project.publicReference	https://www.dfg.de/de/aktuelles/neuigkeiten-themen/info-wissenschaft/2024/ifw-24-108
Project title opara.project.title	SPP 2364 Autonomous Processes in Particle Technology

Research data for: "Penetration depth and effective sample size characterization of UV/Vis radiation into pharmaceutical tablets"

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