TU Bergakademie Freiberg Data Publications

Permanent URI for this collectionhttp://opara.zih.tu-dresden.de/handle/123456789/21

Data publications from research of Freiberg University of Mining and Technology.

Browse

Browsing TU Bergakademie Freiberg Data Publications by Author "Buchwald, Thomas"

Filter results by typing the first few letters
Now showing 1 - 6 of 6
  • ItemOpen Access
    2D Imaging Simulation from 3D Particle Data: Extended Python Notebooks, Simulation Results
    (Technische Universität Bergakademie Freiberg, 2024-07-30) Buchwald, Thomas
    2D projection imaging techniques are simulated with 3D particle data from tomography measurements. This submission contains two distinct parts: Python notebooks to simulate 2D imaging of the particles, and the resulting simulation dataset. This dataset extends a previous one (https://doi.org/10.25532/OPARA-479) by an additional method of particle surface area determination and a larger dataset of randomly oriented projections – ten instead of the previous three. The Python notebooks were created with Jupyter Lab and Anaconda. A environment.yml file is provided that recreates the Anaconda environment. The simulation dataset that results from the provided Python notebooks is made available as CSV files or as pickled Python (pandas) DataFrames. Please refer to the included Readme for a detailed description of the files contained in the archive.
  • ItemOpen Access
    2D Imaging Simulation from 3D Particle Data: Python Notebooks, Particle Datasets, and Simulation Results
    (Technische Universität Bergakademie Freiberg, 2024-05-14) Buchwald, Thomas; Ditscherlein, Ralf
    2D projection imaging techniques are simulated with 3D particle data from tomography measurements. This submission contains three distinct parts: original particle data, Python notebooks to simulate 2D imaging of the particles, and the resulting simulation dataset. The particle data comes as STLs that have been converted from VTK particle data as provided by the PARROT database (https://parrot.tu-freiberg.de/). The STL files are *not* identical with the STLs provided by PARROT as of May 2024! The particle data folder is provided as separate archive because of its large size. The Python notebooks were created with Jupyter Lab and Anaconda. A environment.yml file is provided that recreates the Anaconda environment. The simulation dataset that results from the provided Python notebooks is made available as CSV files or as pickled Python (pandas) DataFrames. Please refer to the included Readme for a detailed description of the files contained in the archive.
  • ItemOpen Access
    Dynamic Image Analysis: Python Notebooks, Particle Datasets, and Simulation Results
    (Technische Universität Bergakademie Freiberg, 2024-08-20) Buchwald, Thomas
    This submission serves as a validation dataset for the simulation results of 2D imaging methods from 3D particle meshes. The submission contains dynamic image analysis data that can be used for validation of simulation results, Python notebooks for extraction of particles and calculation of particle characteristics, and the final results in as pickled Pandas DataFrames and CSV files. This dataset extends to previous submission: https://doi.org/10.25532/OPARA-479 and https://doi.org/10.25532/OPARA-587, which contain the 3D particle dataset and the simulation algorithm notebooks.
  • ItemOpen Access
    Experimental Cake Filtration Data and Code for Analysis, Graph Generation
    (Technische Universität Bergakademie Freiberg, 2021-12-08) Buchwald, Thomas
    This collection belongs to the doctoral thesis "Nonlinear Parameter Estimation of Experimental Cake Filtration Data". Most of the content are Jupyter notebooks which contain the Python code which reproduces graphs found in the thesis from the original experimental data. The lab practice dataset that contains 500 filtration experiments is contained in the folder for section 3.5. The notebooks are not strictly sorted by section. At any rate, the Readme will guide you to the notebook which produces a certain graph, if it is not part of the main notebook of that specific section. The original Python environment was set up with Anaconda. Please use the provided .yml file to create a Python environment which contains all the necessary packages. Some notebooks may not work with the most current versions of the packages, so updating is not necessarily a good idea.
  • ItemOpen Access
    Jupyter Notebook for the Publication "A Framework for the Description of Multidimensional Particle Separation Processes"
    (Technische Universität Bergakademie Freiberg, 2023-10-27) Buchwald, Thomas
    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.
  • ItemOpen Access
    Jupyter Notebook zur Erstellung der Abbildungen des Aufsatzes "Beschreibung von Trennoperationen mit mehrdimensionalen Partikeleigenschaftsverteilungen"
    (Technische Universität Bergakademie Freiberg, 2022-07-01) Buchwald, Thomas
    Jupyter Notebook, welches die Rohdaten bei Bedarf einliest und die Diagramme aus den Rohdaten erstellt. Falls keine Python-Installation zur Verfügung steht, wird ein HTML des Notebooks bereitgestellt. Dabei werden nicht die finalen Diagramme erstellt; diese ergeben sich erst durch Zusammensetzen in einem Vektorgrafikprogramm.