TUDOdata (Techn. Univ. Dortmund)
Not a member yet
124 research outputs found
Sort by
Terahertz time-domain spectroscopic data of different polymers with different thicknesses
No full textTerahertz time-domain spectroscopy can be used for the extraction of electrical properties from materials. The extraction of the parameters can be done either in reflection or transmission geometry. To determine the exact type of material, the sample’s thickness and incidence angle of the radiation must be well known. However, the differentiation between materials can be realised by using a neural network. To address this question, multiple terahertz time-domain spectroscopic transmission measurements of 16 polymers were done with different thicknesses.
Methods
This dataset consists of terahertz time-domain spectroscopy (THz-TDS) measurements performed on 16 different polymer types with different thicknesses. For each polymer, 3 square sets of samples were fabricated using a fused deposition modeling 3D printer. Two of the sample sets have thicknesses of 1 mm and 5 mm. The third sample set contains 4 thicknesses: 1 mm, 2 mm, 3 mm, and 4 mm and is referred to as verification. For a measurement, all samples of one type were placed in a sample holder. This sample holder was raster scanned in the focusing spot of a terahertz transmission setup. A THz-TDS trace was recorded for each position. Six measurements were made for each sample type.
For each measurement, an .hdf file was created containing the measured THz-TDS traces and a label of the areas with the material of the sample. The corresponding material name can be found in the "Labels.csv" file. The terahertz spectrometer used to record the THz-TDS traces was the TeraK15 from the manufacturer Menlo Systems. Planoconvex TPX lenses were used to focus the terahertz radiation to a point.</p
NoVaMigra Value Landscape
No full textThe NOVAMIGRA Value Landscape is a tool to visualize aspects of NOVAMIGRA’s research on value discourses in the context of migration and integration policies in Europe, both at EU and at member state level.
The Value Landscape’s data are based on a content analysis of civic integration materials in five EU member states: France, Germany, Italy, the Netherlands and Sweden.
Methods
What documents were used to gather our data?
The Value Landscape’s data are based on a content analysis of civic integration materials in five EU member states: France, Germany, Italy, the Netherlands and Sweden. In order to be able to compare these values to those promoted at EU level, we included the values defined in Art. 2 of the Treaty on European Union, which form the basis of the EU’s common values framework. The data were collected from civic integration materials that were used as part of a mandatory immigrant integration programme and/or were issued by the state authority centrally responsible for immigrant integration.
How did we code statements on values?
To arrive at the value statements we base our analysis on, we scanned the material for sentences that fulfil two criteria: (1) They suggest that a particular normative commitment is universally held or at least dominant within the society in question, and (2) they imply that the immigrants addressed should share these commitments.
The dataset was created in 2019.</p
Experimental Data of Supercritical Carbon Dioxide (sCO2) Compressor at Various Fluid States - Supplementary Data
No full textThis repository contains additional data for the publication "Experimental Data of Supercritical Carbon Dioxide (sCO2) Compressor at Various Fluid States". The data repository contains the entire compressor geometry, including CAD models, and input files suitable for mean-line and grid generation programs. Thus, the experimental results presented and discussed in the paper are exploitable by the scientific community and pave the road for validated analysis and design tools in the context of the sCO2-Joule cycle.
Methods
The data in the folder "CAD-Repository" is derived from the original CAD-model used in the manufacturing process of the entire sCO2-HeRo turbo-alternator-compressor system. Features not related to the flow path, such as screws and shaft-hub-connections, are removed to ease the use of the data. The folder named "CFD-AxSymetric_Repository" contains the axisymmetric contour (meridional contour) as well as the blade contour. This data is extracted directly from the original CAD-model. The geometric data in the folder "Mean-line_Repository" is as well extracted directly from the original CAD-model. The blade angle beta_2, blockage b_1 and b_2 are determined from flow simulations conducted with the CFD solver Ansys CFX. The computational aided design (CAD) software PTC Creo Parametric 4.0 was used throughout the data generation process. In detail, PTC Creo Parametric 4.0 was used to generate the original CAD-model, including all features and used in the manufacturing process of the entire turbo-alternator-compressor system. PTC Creo Parametric 4.0 was used to extract the axisymmetric contour (meridional contour), the blade contour and the characteristic dimensions of the compressor. The figure "CFD-AxSymetric_Repository\ sCO2-HeRo_compressor_figure.emf" was plotted from the data stored in the text files in the folder "CFD-AxSymetric_Repository" with Mathworks MATLAB 2017.</p
3D data related to: Identification and quantification of hidden melanoma metastases in human sentinel lymph nodes using light sheet fluorescence microscopy
No full textHigh resolution imaging of sentinel lymph nodes (SLN) from melanoma patients is a crucial approach to specify staging and determine individuals requiring adjuvant treatment. Current histologic SLN analysis has the substantial drawback that only a small portion of the node is sampled while most of the tissue is discarded which might explain the high false-negative rate of SLN diagnosis. Therefore, we developed an algorithm-enhanced light sheet fluorescence microscopy (LSFM) approach to three-dimensionally reconstruct the entire SLN with single-cell resolution. We comprehensively quantified total tumor volume while simultaneously visualizing cellular and anatomical hallmarks of the associated SLN architecture. In a first-in-human prospective study (21 SLN from 11 melanoma patients), LSFM not only identified all metastases seen histologically, but additionally detected metastases not recognized by routine histology. Thus, our 3-D digital pathology approach can increase sensitivity and accuracy of SLN-metastasis detection and potentially alleviate the need for conventional histopathological assessment in the future