Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"
G. Reina. Software, (2023)Related to: Reina, G. (2023). Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice. IEEE Computer Graphics and Applications, 43(2). doi: 10.1109/MCG.2023.3241819.
DOI: 10.18419/darus-3345
Abstract
This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart-VISUS/megamol). One folder per dataset / visualization software combination is archived, which contain both the results (in FHD and QHD resolution) and the respective pipeline state (verbatim and compressed) that has been employed to produce them. Refer to the Readme.md files in the archive for further information.
Related to: Reina, G. (2023). Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice. IEEE Computer Graphics and Applications, 43(2). doi: 10.1109/MCG.2023.3241819
%0 Generic
%1 reina2023supplemental
%A Reina, Guido
%D 2023
%K darus ubs_10005 ubs_20008 ubs_30086 ubs_40129 unibibliografie
%R 10.18419/darus-3345
%T Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"
%X This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart-VISUS/megamol). One folder per dataset / visualization software combination is archived, which contain both the results (in FHD and QHD resolution) and the respective pipeline state (verbatim and compressed) that has been employed to produce them. Refer to the Readme.md files in the archive for further information.
@misc{reina2023supplemental,
abstract = {This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart-VISUS/megamol). One folder per dataset / visualization software combination is archived, which contain both the results (in FHD and QHD resolution) and the respective pipeline state (verbatim and compressed) that has been employed to produce them. Refer to the Readme.md files in the archive for further information. },
added-at = {2023-03-06T08:06:22.000+0100},
affiliation = {Reina, Guido/Universität Stuttgart},
author = {Reina, Guido},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2ac339aef699030b9d82369b65db72d43/unibiblio},
doi = {10.18419/darus-3345},
howpublished = {Software},
interhash = {609126832be985622582c2bac6bb7739},
intrahash = {ac339aef699030b9d82369b65db72d43},
keywords = {darus ubs_10005 ubs_20008 ubs_30086 ubs_40129 unibibliografie},
note = {Related to: Reina, G. (2023). Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice. IEEE Computer Graphics and Applications, 43(2). doi: 10.1109/MCG.2023.3241819},
orcid-numbers = {Reina, Guido/0000-0003-4127-1897},
timestamp = {2023-03-06T08:06:22.000+0100},
title = {Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"},
year = 2023
}
